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Wu J, Li J, Yan R, Guo J. Vitamin C and suicidal ideation: A cross-sectional and Mendelian randomization study. J Affect Disord 2024; 368:528-536. [PMID: 39271073 DOI: 10.1016/j.jad.2024.09.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/12/2024] [Accepted: 09/10/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Studies have shown that a history of suicide attempts is associated with low levels of antioxidant vitamins. However, the specific relationship between vitamin C and suicidal ideation remains poorly understood. The purpose of this study is to investigate the effect of vitamin C on the development of suicidal ideation and to explore further the causal relationship using Mendelian randomization (MR). METHODS Using the 2005-2018 National Health and Nutrition Examination Survey (NHANES) dataset, a comprehensive, cross-sectional, stratified survey of 28,623 participants aged 20 years and older was conducted. Suicidal ideation was assessed using item 9 of the Patient Health Questionnaire-9 (PHQ-9) item. The relationship between vitamin C and suicidal ideation was revealed by weighted multiple linear regression, smooth curve fitting, hierarchical analysis, and interaction test. To determine causality, MR was performed on vitamin C and suicidal ideation. RESULTS In cross-sectional studies, all models showed a negative association between vitamin C and suicidal ideation, with a 37 % reduction in the risk of suicidal ideation for each unit increase in vitamin C in the highest quartile in the fully adjusted model. The results of the subgroup analysis showed that the association between vitamin C and suicidal ideation was stable across gender, age, education, smoking status, and marital status. In the MR study, our bivariate model showed no significant causal relationship between vitamin C and the development of suicidal ideation. CONCLUSIONS Dietary vitamin C intake was negatively associated with the development of suicidal ideation. However, genetic evidence does not support causation of these associations.
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Affiliation(s)
- Jiabei Wu
- Nursing College of Shanxi Medical University, Taiyuan, China
| | - Jinglian Li
- Nursing College of Shanxi Medical University, Taiyuan, China
| | - Rui Yan
- Nursing College of Shanxi Medical University, Taiyuan, China.
| | - Jinli Guo
- The Second Hospital of Shanxi Medical University, Taiyuan, China.
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2
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Rehman F, Gong H, Ma Y, Zeng S, Ke D, Yang C, Zhao Y, Wang Y. An ultra-dense linkage map identified quantitative trait loci corresponding to fruit quality- and size-related traits in red goji berry. FRONTIERS IN PLANT SCIENCE 2024; 15:1390936. [PMID: 39297015 PMCID: PMC11408189 DOI: 10.3389/fpls.2024.1390936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 08/01/2024] [Indexed: 09/21/2024]
Abstract
Goji berries are a small-fruited shrub with industrial importance whose fruit considered beneficial in both fresh and dried forms. Current germplasms of goji berries include small fruits with a short shelf life, less sweet and bitter taste, and a lack of appropriate genetic information. This study aimed to employ whole genome resequencing to generate an ultra-dense bin linkage map and to elucidate the genetic basis of goji fruit quality and size using quantitative trait loci (QTL) mapping analysis in a cross-pollinated hybrid population. To achieve this goal, human sensory tests were carried out to determine the bitter taste (BT) and sweet taste (ST), and to quantify the soluble solid content (SSC), fruit firmness (FF), and fruit size-related traits of fresh goji fruits over three or four years. The results revealed that the goji bin linkage map based on resequencing spanned a total length of 966.42 cM and an average bin interval of 0.03 cM. Subsequent variant calling and ordering resulted in 3,058 bins containing 35,331 polymorphic markers across 12 chromosomes. A total of 99 QTLs, with individual loci in different environments explaining a phenotypic variance of 1.21-16.95% were identified for the studied traits. Ten major effects, including colocalized QTLs corresponding to different traits, were identified on chromosomes 1, 3, 5, 6, 7, and 8, with a maximum Logarithm of Odds (LOD) of 29.25 and 16.95% of explained phenotypic variance (PVE). In addition, four stable loci, one for FF, one for fruit weight (FW), and two for fruit shape index (FSI), were mainly mapped on chromosomes 5, 6, and 7, elucidating 2.10-16.95% PVE. These findings offer valuable insights into the genetic architecture of goji fruit traits along with identified specific loci and markers to further improve and develop sweeter, less bitter and larger fruited goji berry cultivars with extended shelf life.
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Affiliation(s)
- Fazal Rehman
- State Key Laboratory of Plant Diversity and Specialty Crops, Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, South China National Botanical Garden, Guangzhou, China
| | - Haiguang Gong
- State Key Laboratory of Plant Diversity and Specialty Crops, Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, South China National Botanical Garden, Guangzhou, China
| | - Yun Ma
- State Key Laboratory of Plant Diversity and Specialty Crops, Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, South China National Botanical Garden, Guangzhou, China
| | - Shaohua Zeng
- State Key Laboratory of Plant Diversity and Specialty Crops, Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, South China National Botanical Garden, Guangzhou, China
- College of Life Science, Gannan Normal University, Ganzhou, Jiangxi, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Danmin Ke
- State Key Laboratory of Plant Diversity and Specialty Crops, Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, South China National Botanical Garden, Guangzhou, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Chao Yang
- State Key Laboratory of Plant Diversity and Specialty Crops, Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, South China National Botanical Garden, Guangzhou, China
- College of Life Science, Gannan Normal University, Ganzhou, Jiangxi, China
| | - Yuling Zhao
- Jinghe County Goji Industrial Development Center, Jinghe County, Xinjiang Uygur Autonomous Region, China
| | - Ying Wang
- State Key Laboratory of Plant Diversity and Specialty Crops, Guangdong Provincial Key Laboratory of Applied Botany, Key Laboratory of National Forestry and Grassland Administration on Plant Conservation and Utilization in Southern China, South China Botanical Garden, Chinese Academy of Sciences, South China National Botanical Garden, Guangzhou, China
- College of Life Science, Gannan Normal University, Ganzhou, Jiangxi, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
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3
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Zhao G, Wang Q, Duan N, Zhang K, Li Z, Sun L, Lu Y. Potential drug targets for osteoporosis identified: A Mendelian randomization study. Heliyon 2024; 10:e36566. [PMID: 39253131 PMCID: PMC11382026 DOI: 10.1016/j.heliyon.2024.e36566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 08/09/2024] [Accepted: 08/19/2024] [Indexed: 09/11/2024] Open
Abstract
Background Osteoporosis is a prevalent global health condition, primarily affecting the aging population, and several therapies for osteoporosis have been widely used. However, available drugs for osteoporosis are far from satisfactory because they cannot alleviate disease progression. This study aimed to explore potential drug targets for osteoporosis through Mendelian randomization analysis. Methods Using cis-expression quantitative trait loci (cis-eQTL) data of druggable genes and two genome-wide association studies (GWAS) datasets related to osteoporosis (UK Biobank and FinnGen cohorts), we employed mendelian randomization (MR) analysis to identify the druggable genes with causal relationships with osteoporosis. Subsequently, a series of follow-up analyses were conducted, such as colocalization analysis, cell-type specificity analysis, and correlation analysis with risk factors. The association between potential drug targets and osteoporosis was validated by qRT-PCR. Results Six druggable genes with causal relationships with osteoporosis were identified and successfully replicated, including ACPP, DNASE1L3, IL32, PPOX, ST6GAL1, and TGM3. Cell-type specificity analysis revealed that PPOX and ST6GAL1 were expressed in all cell types in the bone samples, while IL32, ACPP, DNASE1L3, and TGM3 were expressed in specific cell types. The GWAS data showed there were seven risk factors for osteoporosis, including vitamin D deficiency, COPD, physical activity, BMI, MMP-9, ALP and PTH. Furthermore, ACPP was associated with vitamin D deficiency and COPD; DNASE1L3 was linked to physical activity; IL32 correlated with BMI and MMP-9; and ST6GAL1 was related to ALP, physical activity, and MMP-9. Among these risk factors, only MMP-9 had a high genetic correlation with osteoporosis. The results of qRT-PCR demonstrated that IL32 was upregulated while ST6GAL1 was downregulated in peripheral blood of osteoporosis patients. Conclusion Our findings suggested that those six druggable genes offer potential drug targets for osteoporosis and require further clinical investigation, especially IL32 and ST6GAL1.
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Affiliation(s)
- Guolong Zhao
- Department of Orthopaedics, Honghui Hospital, Xi'an Jiaotong University, 555 Youyi East Road, Xi'an, 710054, Shaan'xi Province, China
| | - Qian Wang
- Department of Orthopaedics, Honghui Hospital, Xi'an Jiaotong University, 555 Youyi East Road, Xi'an, 710054, Shaan'xi Province, China
| | - Ning Duan
- Department of Orthopaedics, Honghui Hospital, Xi'an Jiaotong University, 555 Youyi East Road, Xi'an, 710054, Shaan'xi Province, China
| | - Kun Zhang
- Department of Orthopaedics, Honghui Hospital, Xi'an Jiaotong University, 555 Youyi East Road, Xi'an, 710054, Shaan'xi Province, China
| | - Zhong Li
- Department of Orthopaedics, Honghui Hospital, Xi'an Jiaotong University, 555 Youyi East Road, Xi'an, 710054, Shaan'xi Province, China
| | - Liang Sun
- Department of Orthopaedics, Honghui Hospital, Xi'an Jiaotong University, 555 Youyi East Road, Xi'an, 710054, Shaan'xi Province, China
| | - Yao Lu
- Department of Orthopaedics, Honghui Hospital, Xi'an Jiaotong University, 555 Youyi East Road, Xi'an, 710054, Shaan'xi Province, China
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Cao X, Su Y, Zhao T, Zhang Y, Cheng B, Xie K, Yu M, Allan A, Klee H, Chen K, Guan X, Zhang Y, Zhang B. Multi-omics analysis unravels chemical roadmap and genetic basis for peach fruit aroma improvement. Cell Rep 2024; 43:114623. [PMID: 39146179 DOI: 10.1016/j.celrep.2024.114623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 07/15/2024] [Accepted: 07/29/2024] [Indexed: 08/17/2024] Open
Abstract
Selection of fruits with enhanced health benefits and superior flavor is an important aspect of peach breeding. Understanding the genetic interplay between appearance and flavor chemicals remains a major challenge. We identify the most important volatiles contributing to consumer preferences for peach, thus establishing priorities for improving flavor quality. We quantify volatiles of a peach population consisting of 184 accessions and demonstrate major reductions in the important flavor volatiles linalool and Z-3-hexenyl acetate in red-fleshed accessions. We identify 474 functional gene regulatory networks (GRNs), among which GRN05 plays a crucial role in controlling both red flesh and volatile content through the NAM/ATAF1/2/CUC (NAC) transcription factor PpBL. Overexpressing PpBL results in reduced expression of PpNAC1, a positive regulator for Z-3-hexenyl acetate and linalool synthesis. Additionally, we identify haplotypes for three tandem PpAATs that are significantly correlated with reduced gene expression and ester content. We develop genetic resources for improvement of fruit quality.
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Affiliation(s)
- Xiangmei Cao
- Laboratory of Fruit Quality Biology/Zhejiang Key Laboratory of Horticultural Crop Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Yike Su
- Laboratory of Fruit Quality Biology/Zhejiang Key Laboratory of Horticultural Crop Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Ting Zhao
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Yuanyuan Zhang
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences/Jiangsu Key Laboratory of Horticultural Crop Genetic Improvement, Nanjing, Jiangsu 210014, China
| | - Bo Cheng
- Laboratory of Fruit Quality Biology/Zhejiang Key Laboratory of Horticultural Crop Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Kaili Xie
- Laboratory of Fruit Quality Biology/Zhejiang Key Laboratory of Horticultural Crop Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Mingliang Yu
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences/Jiangsu Key Laboratory of Horticultural Crop Genetic Improvement, Nanjing, Jiangsu 210014, China
| | - Andrew Allan
- The New Zealand Institute for Plant & Food Research Limited (Plant & Food Research) Mt Albert, Auckland Mail Centre, Private Bag 92169, Auckland 1142, New Zealand
| | - Harry Klee
- Laboratory of Fruit Quality Biology/Zhejiang Key Laboratory of Horticultural Crop Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Kunsong Chen
- Laboratory of Fruit Quality Biology/Zhejiang Key Laboratory of Horticultural Crop Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China
| | - Xueying Guan
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, The Advanced Seed Institute, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 300058, China
| | - Yuyan Zhang
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences/Jiangsu Key Laboratory of Horticultural Crop Genetic Improvement, Nanjing, Jiangsu 210014, China.
| | - Bo Zhang
- Laboratory of Fruit Quality Biology/Zhejiang Key Laboratory of Horticultural Crop Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, China; Hainan Institute of Zhejiang University, Sanya, Hainan 572000, China.
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5
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Wu ZY, Chapman MA, Liu J, Milne RI, Zhao Y, Luo YH, Zhu GF, Cadotte MW, Luan MB, Fan PZ, Monro AK, Li ZP, Corlett RT, Li DZ. Genomic variation, environmental adaptation, and feralization in ramie, an ancient fiber crop. PLANT COMMUNICATIONS 2024; 5:100942. [PMID: 38720463 PMCID: PMC11369781 DOI: 10.1016/j.xplc.2024.100942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/20/2023] [Accepted: 05/06/2024] [Indexed: 06/29/2024]
Abstract
Feralization is an important evolutionary process, but the mechanisms behind it remain poorly understood. Here, we use the ancient fiber crop ramie (Boehmeria nivea (L.) Gaudich.) as a model to investigate genomic changes associated with both domestication and feralization. We first produced a chromosome-scale de novo genome assembly of feral ramie and investigated structural variations between feral and domesticated ramie genomes. Next, we gathered 915 accessions from 23 countries, comprising cultivars, major landraces, feral populations, and the wild progenitor. Based on whole-genome resequencing of these accessions, we constructed the most comprehensive ramie genomic variation map to date. Phylogenetic, demographic, and admixture signal detection analyses indicated that feral ramie is of exoferal or exo-endo origin, i.e., descended from hybridization between domesticated ramie and the wild progenitor or ancient landraces. Feral ramie has higher genetic diversity than wild or domesticated ramie, and genomic regions affected by natural selection during feralization differ from those under selection during domestication. Ecological analyses showed that feral and domesticated ramie have similar ecological niches that differ substantially from the niche of the wild progenitor, and three environmental variables are associated with habitat-specific adaptation in feral ramie. These findings advance our understanding of feralization, providing a scientific basis for the excavation of new crop germplasm resources and offering novel insights into the evolution of feralization in nature.
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Affiliation(s)
- Zeng-Yuan Wu
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Mark A Chapman
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
| | - Jie Liu
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
| | - Richard I Milne
- Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JH, UK
| | - Ying Zhao
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Ya-Huang Luo
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Guang-Fu Zhu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Marc W Cadotte
- Department of Biological Sciences, University of Toronto-Scarborough, Toronto, Ontario, Canada
| | - Ming-Bao Luan
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, Hunan 410205, China.
| | - Peng-Zhen Fan
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Alex K Monro
- Royal Botanic Gardens Kew, Richmond, Surrey TW9 3AE, UK
| | - Zhi-Peng Li
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Richard T Corlett
- Royal Botanic Gardens Kew, Richmond, Surrey TW9 3AE, UK; Center for Integrative Conservation and Yunnan Key Laboratory for the Conservation of Tropical Rainforests and Asian Elephants, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan 666303, China
| | - De-Zhu Li
- Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
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6
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Li W, Luo P, Shi Y, Zhang H, Yan Q, Ye Y, Yao Y, He J. Genome-wide association study of the loci and candidate genes associated with agronomic traits in Amomum villosum Lour. PLoS One 2024; 19:e0306806. [PMID: 39102408 PMCID: PMC11299815 DOI: 10.1371/journal.pone.0306806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 06/24/2024] [Indexed: 08/07/2024] Open
Abstract
Amomum villosum Lour. (A. villosum) is a valuable herbaceous plant that produces the famous traditional Chinese medicine Amori Fructus. Identifying molecular markers associated with the growth of A. villosum can facilitate molecular marker-assisted breeding of the plant. This study employed 75 A. villosum accessions as the test material and utilized 71 pairs of polymorphic simple sequence repeat (SSR) molecular markers to genotype the population. The study analyzed the association between SSR markers and phenotypic traits through the linkage imbalance and population structure analysis. Candidate genes associated with the molecular markers were also identified. The results showed that the phenotypic diversity index range of the 12 agronomic traits was 4.081-4.312 and conformed to a normal distribution. Moreover, 293 allelic variations were detected in the 75 accessions, with an average of 5.32 amplified alleles per loci, ranging from 3 to 8. The maximum number of amplified alleles for AVL12 was 8. The population structure and cluster analysis indicated that the accessions could be divided into two subgroups. Using the mixed linear model (MLM) model of population structure (Q)+kinship matrix (K) for association analysis, three SSR molecular markers significantly associated with the agronomic traits were detected. Fluorescence quantification was used to analyze the expression levels of six candidate genes, and it was found that three of the genes were differentially expressed in phenotypically different accessions. This study is the first to use SSR markers for genome-wide association study (GWAS) mapping and identification of the associated agronomic traits in A. villosum. The results of this study provide a basis for identifying genetic markers for growth traits for marker-assisted breeding in A. villosum.
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Affiliation(s)
- Wenxiu Li
- Chinese Academy of Tropical Agricultural Sciences/Zhanjiang Rubber Forest Economic Engineering Technology Research Center, Zhanjiang Experimental Station, Zhanjiang, Guangdong, China
| | - Ping Luo
- Chinese Academy of Tropical Agricultural Sciences/Zhanjiang Rubber Forest Economic Engineering Technology Research Center, Zhanjiang Experimental Station, Zhanjiang, Guangdong, China
| | - Yunfeng Shi
- Huazhong Agricultural University, Wuhan, Hubei, China
| | - Hualin Zhang
- Chinese Academy of Tropical Agricultural Sciences/Zhanjiang Rubber Forest Economic Engineering Technology Research Center, Zhanjiang Experimental Station, Zhanjiang, Guangdong, China
| | - Qing Yan
- Chinese Academy of Tropical Agricultural Sciences/Zhanjiang Rubber Forest Economic Engineering Technology Research Center, Zhanjiang Experimental Station, Zhanjiang, Guangdong, China
| | - Yana Ye
- Chinese Academy of Tropical Agricultural Sciences/Zhanjiang Rubber Forest Economic Engineering Technology Research Center, Zhanjiang Experimental Station, Zhanjiang, Guangdong, China
| | - Yanli Yao
- Chinese Academy of Tropical Agricultural Science/Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs, Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crop Research Institute, Zhanjiang, Guangdong, China
| | - Junjun He
- Chinese Academy of Tropical Agricultural Science/Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs, Key Laboratory of Hainan Province for Postharvest Physiology and Technology of Tropical Horticultural Products, South Subtropical Crop Research Institute, Zhanjiang, Guangdong, China
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7
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Ezzat M, Zhang W, Amar M, Nishawy E, Zhao L, Belal M, Han Y, Liao L. Origins and Genetic Characteristics of Egyptian Peach. Int J Mol Sci 2024; 25:8497. [PMID: 39126065 PMCID: PMC11313342 DOI: 10.3390/ijms25158497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 07/30/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024] Open
Abstract
Peach (Prunus persica), a significant economic fruit tree in the Rosaceae family, is extensively cultivated in temperate and subtropical regions due to its abundant genetic diversity, robust adaptability, and high nutritional value. Originating from China over 4000 years ago, peaches were introduced to Persia through the Silk Road during the Han Dynasty and gradually spread to India, Greece, Rome, Egypt, Europe, and America. Currently grown in more than 80 countries worldwide, the expansion of peach cultivation in Egypt is mainly due to the development and utilization of peach varieties with low chilling requirements. These varieties exhibit unique phenotypic characteristics such as early maturity, reduced need for winter cold temperatures, low water requirements, and high economic value. In this study, a systematic analysis was conducted on the genetic characteristics and kinship relationships of peaches with low chilling requirements in Egypt. We conducted a comprehensive evolutionary and Identity-by-Descent (IBD) analysis on over 300 peach core germplasm resources, including Egyptian cultivars with low chilling requirements, to investigate their origin and genetic characteristics. The evolutionary analysis revealed that 'Bitter almond' is closely related to China's wild relative species Prunus tangutica Batal, while 'Early grand' shares one branch with Chinese ornamental peach cultivars, and 'Nemaguard' clusters with some ancient local varieties from China. The IBD analysis also indicated similar genetic backgrounds, suggesting a plausible origin from China. Similarly, the analysis suggested that 'Swelling' may have originated from the Czech Republic while 'Met ghamr' has connections to South Africa. 'Desert red', 'Early swelling', and 'Florida prince' are likely derived from Brazil. These findings provide valuable insights into the genetic characteristics of Egyptian peach cultivars. They offer a significant foundation for investigating the origin and spread of cultivated peaches worldwide and serve as a valuable genetic resource for breeding low chilling requirement cultivars, which is of considerable significance for the advancement of peach cultivation in Egypt.
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Affiliation(s)
- Mohamed Ezzat
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden of Chinese Academy of Sciences, Wuhan 430074, China; (M.E.); (W.Z.); (M.A.); (E.N.); (L.Z.); (M.B.)
- Plant Genome Laboratory, Department of Genetic Resources, Desert Research Center, El-Matareya, Cairo 11753, Egypt
| | - Weihan Zhang
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden of Chinese Academy of Sciences, Wuhan 430074, China; (M.E.); (W.Z.); (M.A.); (E.N.); (L.Z.); (M.B.)
- Sino-African Joint Research Centre, Chinese Academy of Sciences, Beijing 100049, China
| | - Mohamed Amar
- Plant Genome Laboratory, Department of Genetic Resources, Desert Research Center, El-Matareya, Cairo 11753, Egypt
| | - Elsayed Nishawy
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden of Chinese Academy of Sciences, Wuhan 430074, China; (M.E.); (W.Z.); (M.A.); (E.N.); (L.Z.); (M.B.)
- Plant Genome Laboratory, Department of Genetic Resources, Desert Research Center, El-Matareya, Cairo 11753, Egypt
| | - Lei Zhao
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden of Chinese Academy of Sciences, Wuhan 430074, China; (M.E.); (W.Z.); (M.A.); (E.N.); (L.Z.); (M.B.)
- Sino-African Joint Research Centre, Chinese Academy of Sciences, Beijing 100049, China
| | - Mohammad Belal
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden of Chinese Academy of Sciences, Wuhan 430074, China; (M.E.); (W.Z.); (M.A.); (E.N.); (L.Z.); (M.B.)
- Plant Genome Laboratory, Department of Genetic Resources, Desert Research Center, El-Matareya, Cairo 11753, Egypt
| | - Yuepeng Han
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden of Chinese Academy of Sciences, Wuhan 430074, China; (M.E.); (W.Z.); (M.A.); (E.N.); (L.Z.); (M.B.)
- Sino-African Joint Research Centre, Chinese Academy of Sciences, Beijing 100049, China
| | - Liao Liao
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden of Chinese Academy of Sciences, Wuhan 430074, China; (M.E.); (W.Z.); (M.A.); (E.N.); (L.Z.); (M.B.)
- Sino-African Joint Research Centre, Chinese Academy of Sciences, Beijing 100049, China
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8
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An Y, Ban Q, Liu L, Zhang F, Yu S, Jing T, Zhao S. PPGV: a comprehensive database of peach population genome variation. BMC PLANT BIOLOGY 2024; 24:701. [PMID: 39048957 PMCID: PMC11267775 DOI: 10.1186/s12870-024-05437-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024]
Abstract
Peach tree is one of the most important fruit trees in the world, and it has been cultivated for more than 7,500 years. In recent years, the genome and population resequencing of peach trees have been published continuously, which has effectively promoted the research of peach tree genetics and breeding. In order to promote the further mining and utilization of these data, we integrated and constructed a comprehensive peach genome and variation database (PPGV, http://peachtree.work/home ). The PPGV contains 10 sets of published peach tree genome data, as well as genomic variation information for 1,378 peach tree samples (the resequencing data of 1,378 samples were aligned with the high-quality genomes of Lovell, CN14 and Chinesecling, respectively, for mutation detection). A variety of useful and flexible tools, such as BLAST, Gene ID Convert, KEGG/GO Enrichment, Primer Design and Gene function, were also specially designed for searching data and assisting in breeding.
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Affiliation(s)
- Yanlin An
- Department of Food Science and Engineering, Moutai Institute, Renhuai, China
| | - Qiuyan Ban
- College of Horticulture, Henan Agricultural University, Zhengzhou, China
| | - Li Liu
- Department of Food Science and Engineering, Moutai Institute, Renhuai, China
| | - Feng Zhang
- Department of Food Science and Engineering, Moutai Institute, Renhuai, China
| | - Shirui Yu
- Department of Food Science and Engineering, Moutai Institute, Renhuai, China
| | - Tingting Jing
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, China.
| | - Shiqi Zhao
- School of Fishery, Zhejiang Ocean University, Zhoushan, Zhejiang, 316022, China.
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9
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Ma X, Wu H, Liu B, Wang S, Zhang Y, Su M, Zheng B, Pan H, Du B, Wang J, He P, Chen Q, An H, Xu W, Luo X. Genomic diversity, population structure, and genome-wide association reveal genetic differentiation and trait improvements in mango. HORTICULTURE RESEARCH 2024; 11:uhae153. [PMID: 39006000 PMCID: PMC11246242 DOI: 10.1093/hr/uhae153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 05/23/2024] [Indexed: 07/16/2024]
Abstract
Mango (Mangifera indica L.) has been widely cultivated as a culturally and economically significant fruit tree for roughly 4000 years. Despite its rich history, little is known about the crop's domestication, genomic variation, and the genetic loci underlying agronomic traits. This study employs the whole-genome re-sequencing of 224 mango accessions sourced from 22 countries, with an average sequencing depth of 16.37×, to explore their genomic variation and diversity. Through phylogenomic analysis, M. himalis J.Y. Liang, a species grown in China, was reclassified into the cultivated mango group known as M. indica. Moreover, our investigation of mango population structure and differentiation revealed that Chinese accessions could be divided into two distinct gene pools, indicating the presence of independent genetic diversity ecotypes. By coupling genome-wide association studies with analyses of genotype variation patterns and expression patterns, we identified several candidate loci and dominant genotypes associated with mango flowering capability, fruit weight, and volatile compound production. In conclusion, our study offers valuable insights into the genetic differentiation of mango populations, paving the way for future agronomic improvements through genomic-assisted breeding.
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Affiliation(s)
- Xiaowei Ma
- National Key Laboratory for Tropical Crop Breeding, Sanya 572024, China; Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs; Key Laboratory for Postharvest Physiology and Technology of Tropical Horticultural Products of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong 524091, China
| | - Hongxia Wu
- National Key Laboratory for Tropical Crop Breeding, Sanya 572024, China; Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs; Key Laboratory for Postharvest Physiology and Technology of Tropical Horticultural Products of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong 524091, China
| | - Bin Liu
- Panzhihua Academy of Agricultural and Forestry Sciences, Panzhihua, Sichuan 617061, China
| | - Songbiao Wang
- National Key Laboratory for Tropical Crop Breeding, Sanya 572024, China; Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs; Key Laboratory for Postharvest Physiology and Technology of Tropical Horticultural Products of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong 524091, China
| | - Yuehua Zhang
- National Key Laboratory for Tropical Crop Breeding, Sanya 572024, China; Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs; Key Laboratory for Postharvest Physiology and Technology of Tropical Horticultural Products of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong 524091, China
| | - Muqing Su
- National Key Laboratory for Tropical Crop Breeding, Sanya 572024, China; Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs; Key Laboratory for Postharvest Physiology and Technology of Tropical Horticultural Products of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong 524091, China
| | - Bin Zheng
- National Key Laboratory for Tropical Crop Breeding, Sanya 572024, China; Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs; Key Laboratory for Postharvest Physiology and Technology of Tropical Horticultural Products of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong 524091, China
| | - Hongbing Pan
- Panzhihua Academy of Agricultural and Forestry Sciences, Panzhihua, Sichuan 617061, China
| | - Bang Du
- Panzhihua Academy of Agricultural and Forestry Sciences, Panzhihua, Sichuan 617061, China
| | - Jun Wang
- Liangshan Academy of Forest and Grassland, Xichang, Sichuan 615000, China
| | - Ping He
- Liangshan Academy of Forest and Grassland, Xichang, Sichuan 615000, China
| | - Qianfu Chen
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571100, China
| | - Hong An
- Bioinformatics and Analytics Core, University of Missouri, Columbia, MO 65201, USA
| | - Wentian Xu
- National Key Laboratory for Tropical Crop Breeding, Sanya 572024, China; Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture & Rural Affairs; Key Laboratory for Postharvest Physiology and Technology of Tropical Horticultural Products of Hainan Province, South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong 524091, China
| | - Xiang Luo
- College of Agriculture, Henan University, Zhengzhou, Henan 450046, China
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10
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Yang X, Su Y, Huang S, Hou Q, Wei P, Hao Y, Huang J, Xiao H, Ma Z, Xu X, Wang X, Cao S, Cao X, Zhang M, Wen X, Ma Y, Peng Y, Zhou Y, Cao K, Qiao G. Comparative population genomics reveals convergent and divergent selection in the apricot-peach-plum-mei complex. HORTICULTURE RESEARCH 2024; 11:uhae109. [PMID: 38883333 PMCID: PMC11179850 DOI: 10.1093/hr/uhae109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 04/06/2024] [Indexed: 06/18/2024]
Abstract
The economically significant genus Prunus includes fruit and nut crops that have been domesticated for shared and specific agronomic traits; however, the genomic signals of convergent and divergent selection have not been elucidated. In this study, we aimed to detect genomic signatures of convergent and divergent selection by conducting comparative population genomic analyses of the apricot-peach-plum-mei (APPM) complex, utilizing a haplotype-resolved telomere-to-telomere (T2T) genome assembly and population resequencing data. The haplotype-resolved T2T reference genome for the plum cultivar was assembled through HiFi and Hi-C reads, resulting in two haplotypes 251.25 and 251.29 Mb in size, respectively. Comparative genomics reveals a chromosomal translocation of ~1.17 Mb in the apricot genomes compared with peach, plum, and mei. Notably, the translocation involves the D locus, significantly impacting titratable acidity (TA), pH, and sugar content. Population genetic analysis detected substantial gene flow between plum and apricot, with introgression regions enriched in post-embryonic development and pollen germination processes. Comparative population genetic analyses revealed convergent selection for stress tolerance, flower development, and fruit ripening, along with divergent selection shaping specific crop, such as somatic embryogenesis in plum, pollen germination in mei, and hormone regulation in peach. Notably, selective sweeps on chromosome 7 coincide with a chromosomal collinearity from the comparative genomics, impacting key fruit-softening genes such as PG, regulated by ERF and RMA1H1. Overall, this study provides insights into the genetic diversity, evolutionary history, and domestication of the APPM complex, offering valuable implications for genetic studies and breeding programs of Prunus crops.
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Affiliation(s)
- Xuanwen Yang
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Ying Su
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Xinjiang, Urumqi 830046, China
| | - Siyang Huang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qiandong Hou
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
| | - Pengcheng Wei
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
| | - Yani Hao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- Department of Bioinformatics, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Jiaqi Huang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Hua Xiao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Zhiyao Ma
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaodong Xu
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xu Wang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Shuo Cao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuejing Cao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Mengyan Zhang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaopeng Wen
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
| | - Yuhua Ma
- Institute of Pomology Science, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Yanling Peng
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yongfeng Zhou
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- National Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 570100, China
| | - Ke Cao
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
| | - Guang Qiao
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
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11
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Zhao J, Xu Y, Li H, An W, Yin Y, Wang B, Wang L, Wang B, Duan L, Ren X, Liang X, Wang Y, Wan R, Huang T, Zhang B, Li Y, Luo J, Cao Y. Metabolite-based genome-wide association studies enable the dissection of the genetic bases of flavonoids, betaine and spermidine in wolfberry (Lycium). PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1435-1452. [PMID: 38194521 PMCID: PMC11123438 DOI: 10.1111/pbi.14278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 10/28/2023] [Accepted: 12/14/2023] [Indexed: 01/11/2024]
Abstract
Wolfberry is a plant with medicinal and food values. However, its bioactive ingredients and the corresponding genetic bases have not been determined. Here, we de novo generated a chromosome-level genome assembly for wolfberry, yielding a genome sequence of ~1.77 Gb with contig N50 of 50.55 Mb and 39 224 predicted gene models. A variation map, using 307 re-sequenced accessions, was called based on this genome assembly. Furthermore, the fruit metabolome of these accessions was profiled using 563 annotated metabolites, which separated Lycium barbarum L. and non-L. barbarum L. The flavonoids, coumarins, alkaloids and nicotinic acid contents were higher in the former than in the latter. A metabolite-based genome-wide association study mapped 156 164 significant single nucleotide polymorphisms corresponding to 340 metabolites. This included 19 219 unique lead single nucleotide polymorphisms in 1517 significant association loci, of which three metabolites, flavonoids, betaine and spermidine, were highlighted. Two candidate genes, LbUGT (evm.TU.chr07.2692) and LbCHS (evm.TU.chr07.2738), with non-synonymous mutations, were associated with the flavonoids content. LbCHS is a structural gene that interacts with a nearby MYB transcription factor (evm.TU.chr07.2726) both in L. barbarum and L. ruthenicum. Thus, these three genes might be involved in the biosynthesis/metabolism of flavonoids. LbSSADH (evm.TU.chr09.627) was identified as possibly participating in betaine biosynthesis/metabolism. Four lycibarbarspermidines (E-G and O) were identified, and only the lycibarbarspermidines O content was higher in L. barbarum varieties than in non-L. barbarum varieties. The evm.TU.chr07.2680 gene associated with lycibarbarspermidines O was annotated as an acetyl-CoA-benzylalcohol acetyltransferase, suggesting that it is a candidate gene for spermidine biosynthesis. These results provide novel insights into the specific metabolite profile of non-L. barbarum L. and the genetic bases of flavonoids, betaine and spermidine biosynthesis/metabolism.
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Affiliation(s)
- Jianhua Zhao
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Yuhui Xu
- Adsen Biotechnology Co., Ltd.UrumchiChina
| | - Haoxia Li
- Desertification Control Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Wei An
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Yue Yin
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Bin Wang
- Wuhan Matware Biotechnology Co., Ltd.WuhanChina
| | - Liping Wang
- School of breeding and multiplcation (Sanya Institute of Breeding and Multiplication)Hainan, UniversitySanyaChina
| | - Bi Wang
- School of breeding and multiplcation (Sanya Institute of Breeding and Multiplication)Hainan, UniversitySanyaChina
| | - Linyuan Duan
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Xiaoyue Ren
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Xiaojie Liang
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Yajun Wang
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Ru Wan
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Ting Huang
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Bo Zhang
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Yanlong Li
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
| | - Jie Luo
- School of breeding and multiplcation (Sanya Institute of Breeding and Multiplication)Hainan, UniversitySanyaChina
| | - Youlong Cao
- National Wolfberry Engineering Research Center/Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry SciencesYinchuanChina
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12
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Li B, Duan Y, Du Z, Wang X, Liu S, Feng Z, Tian L, Song F, Yang H, Cai W, Lin Z, Li H. Natural selection and genetic diversity maintenance in a parasitic wasp during continuous biological control application. Nat Commun 2024; 15:1379. [PMID: 38355730 PMCID: PMC10866907 DOI: 10.1038/s41467-024-45631-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 01/30/2024] [Indexed: 02/16/2024] Open
Abstract
Aphidius gifuensis is a parasitoid wasp and primary endoparasitoid enemy of the peach potato aphid, Myzus persicae. Artificially reared, captive wasps of this species have been extensively and effectively used to control populations of aphids and limit crop loss. However, the consequences of large-scale releasing of captive A. gifuensis, such as genetic erosion and reduced fitness in wild populations of this species, remains unclear. Here, we sequence the genomes of 542 A. gifuensis individuals collected across China, including 265 wild and 277 human-intervened samples. Population genetic analyses on wild individuals recovered Yunnan populations as the ancestral group with the most complex genetic structure. We also find genetic signature of environmental adaptation during the dispersal of wild populations from Yunnan to other regions. While comparative genomic analyses of captive wasps revealed a decrease in genetic diversity during long-term rearing, population genomic analyses revealed signatures of natural selection by several biotic (host plants) or abiotic (climate) factors, which support maintenance of the gene pool of wild populations in spite of the introduction of captive wasps. Therefore, the impact of large-scale release is reduced. Our study suggests that A. gifuensis is a good system for exploring the genetic and evolutionary effects of mass rearing and release on species commonly used as biocontrol agents.
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Affiliation(s)
- Bingyan Li
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Yuange Duan
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Zhenyong Du
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Xuan Wang
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Shanlin Liu
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Zengbei Feng
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Li Tian
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Fan Song
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | | | - Wanzhi Cai
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China
| | - Zhonglong Lin
- Yunnan Tobacco Company of China National Tobacco Corporation, Kunming, 650011, China.
| | - Hu Li
- Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
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13
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Wu B, Chen X, Hu J, Wang ZY, Wang Y, Xu DY, Guo HB, Shao CW, Zhou LQ, Sun XJ, Yu T, Wang XM, Zheng YX, Fan GY, Liu ZH. Combined ATAC-seq, RNA-seq, and GWAS analysis reveals glycogen metabolism regulatory network in Jinjiang oyster ( Crassostrea ariakensis). Zool Res 2024; 45:201-214. [PMID: 38199974 PMCID: PMC10839670 DOI: 10.24272/j.issn.2095-8137.2023.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/08/2023] [Indexed: 01/12/2024] Open
Abstract
Glycogen serves as the principal energy reserve for metabolic processes in aquatic shellfish and substantially contributes to the flavor and quality of oysters. The Jinjiang oyster ( Crassostrea ariakensis) is an economically and ecologically important species in China. In the present study, RNA sequencing (RNA-seq) and assay for transposase-accessible chromatin using sequencing (ATAC-seq) were performed to investigate gene expression and chromatin accessibility variations in oysters with different glycogen contents. Analysis identified 9 483 differentially expressed genes (DEGs) and 7 215 genes with significantly differential chromatin accessibility (DCAGs) were obtained, with an overlap of 2 600 genes between them. Notably, a significant proportion of these genes were enriched in pathways related to glycogen metabolism, including "Glycogen metabolic process" and "Starch and sucrose metabolism". In addition, genome-wide association study (GWAS) identified 526 single nucleotide polymorphism (SNP) loci associated with glycogen content. These loci corresponded to 241 genes, 63 of which were categorized as both DEGs and DCAGs. This study enriches basic research data and provides insights into the molecular mechanisms underlying the regulation of glycogen metabolism in C. ariakensis.
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Affiliation(s)
- Biao Wu
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong 266071, China
| | - Xi Chen
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong 266071, China
| | - Jie Hu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266426, China
| | - Zhen-Yuan Wang
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
- National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China
| | - Yan Wang
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
| | - Da-You Xu
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266426, China
| | - Hao-Bing Guo
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266426, China
| | - Chang-Wei Shao
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong 266071, China
| | - Li-Qing Zhou
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong 266071, China
| | - Xiu-Jun Sun
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong 266071, China
| | - Tao Yu
- Changdao Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Yantai, Shandong 265800, China
| | - Xiao-Mei Wang
- Changdao Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Yantai, Shandong 265800, China
| | - Yan-Xin Zheng
- Changdao Enhancement and Experiment Station, Chinese Academy of Fishery Sciences, Yantai, Shandong 265800, China
| | - Guang-Yi Fan
- BGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong 266426, China
- State Key Laboratory of Agricultural Genomics, BGI- Shenzhen, Shenzhen, Guangdong 518083, China. E-mail:
| | - Zhi-Hong Liu
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, Shandong 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao, Shandong 266071, China. E-mail:
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14
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Wang J, Cao K, Li Y, Wu J, Li W, Wang Q, Zhu G, Fang W, Chen C, Wang X, Dong W, Liu W, Wang L. Genome variation and LTR-RT analyses of an ancient peach landrace reveal mechanism of blood-flesh fruit color formation and fruit maturity date advancement. HORTICULTURE RESEARCH 2024; 11:uhad265. [PMID: 38298900 PMCID: PMC10828781 DOI: 10.1093/hr/uhad265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 12/01/2023] [Indexed: 02/02/2024]
Abstract
Peach (Prunus persica) landrace has typical regional characteristics, strong environmental adaptability, and contains many valuable genes that provide the foundation for breeding excellent varieties. Therefore, it is necessary to assemble the genomes of specific landraces to facilitate the localization and utilization of these genes. Here, we de novo assembled a high-quality genome from an ancient blood-fleshed Chinese landrace Tianjin ShuiMi (TJSM) that originated from the China North Plain. The assembled genome size was 243.5 Mb with a contig N50 of 23.7 Mb and a scaffold N50 of 28.6 Mb. Compared with the reported peach genomes, our assembled TJSM genome had the largest number of specific structural variants (SVs) and long terminal repeat-retrotransposons (LTR-RTs). Among the LTR-RTs with the potential to regulate their host genes, we identified a 6688 bp LTR-RT (named it blood TE) in the promoter of NAC transcription factor-encoding PpBL, a gene regulating peach blood-flesh formation. The blood TE was not only co-separated with the blood-flesh phenotype but also associated with fruit maturity date advancement and different intensities of blood-flesh color formation. Our findings provide new insights into the mechanism underlying the development of the blood-flesh color and determination of fruit maturity date and highlight the potential of the TJSM genome to mine more variations related to agronomic traits in peach fruit.
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Affiliation(s)
- Jiao Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Ke Cao
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Yong Li
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jinlong Wu
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Wenqing Li
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Qi Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Gengrui Zhu
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Weichao Fang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Changwen Chen
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Xinwei Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Wenxuan Dong
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China
| | - Weisheng Liu
- Liaoning Institute of Pomology, Yingkou 115009, Liaoning, China
| | - Lirong Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit TreeBreeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
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Zhou J, Yang S, Ma Y, Liu Z, Tu H, Wang H, Zhang J, Chen Q, He W, Li M, Lin Y, Zhang Y, Wu Z, Zhang Y, Luo Y, Tang H, Wang Y, Wang X. Soluble sugar and organic acid composition and flavor evaluation of Chinese cherry fruits. Food Chem X 2023; 20:100953. [PMID: 37929267 PMCID: PMC10622630 DOI: 10.1016/j.fochx.2023.100953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/12/2023] [Accepted: 10/18/2023] [Indexed: 11/07/2023] Open
Abstract
Chinese cherry is an economically important fruit crop native to China. Flavor quality is greatly influenced by compositions of soluble sugars and organic acids. To better understand the flavor quality of Chinese cherry, we determined sugar and acid components in thirty-eight landrace and cultivar collections, and two wild resources using the HPLC method. Glucose and fructose were the main components, accounting for 85.91% of soluble sugars. Malic acid was the predominant organic acid, with an average proportion of 65.73% of total acids. Correlation and PCA analysis revealed seven key indicators for evaluating fruit flavor. Compared with wild Chinese cherry, the cultivated collections exhibited higher levels of soluble sugars, especially fructose, and lower levels of organic acid, particularly malic acid in fruits. Finally, we have established grading criteria for seven flavor indicators in Chinese cherry. Our study provides valuable references for identifying flavor compounds and improving flavor quality of Chinese cherry.
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Affiliation(s)
- Jingting Zhou
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Shuaiwei Yang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Yan Ma
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhenshan Liu
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Hongxia Tu
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Hao Wang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Jing Zhang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Qing Chen
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
- Key Laboratory of Agricultural Bioinformatics, Ministry of Education, Chengdu 611130, China
| | - Wen He
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
- Key Laboratory of Agricultural Bioinformatics, Ministry of Education, Chengdu 611130, China
| | - Mengyao Li
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Yuanxiu Lin
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Yunting Zhang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhiwei Wu
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Yong Zhang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Ya Luo
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Haoru Tang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
| | - Yan Wang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
- Key Laboratory of Agricultural Bioinformatics, Ministry of Education, Chengdu 611130, China
| | - Xiaorong Wang
- College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China
- Key Laboratory of Agricultural Bioinformatics, Ministry of Education, Chengdu 611130, China
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Sang Y, Liu X, Yuan C, Yao T, Li Y, Wang D, Zhao H, Wang Y. Genome-wide association study on resistance of cultivated soybean to Fusarium oxysporum root rot in Northeast China. BMC PLANT BIOLOGY 2023; 23:625. [PMID: 38062401 PMCID: PMC10702129 DOI: 10.1186/s12870-023-04646-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Fusarium oxysporum is a prevalent fungal pathogen that diminishes soybean yield through seedling disease and root rot. Preventing Fusarium oxysporum root rot (FORR) damage entails on the identification of resistance genes and developing resistant cultivars. Therefore, conducting fine mapping and marker development for FORR resistance genes is of great significance for fostering the cultivation of resistant varieties. In this study, 350 soybean germplasm accessions, mainly from Northeast China, underwent genotyping using the SoySNP50K Illumina BeadChip, which includes 52,041 single nucleotide polymorphisms (SNPs). Their resistance to FORR was assessed in a greenhouse. Genome-wide association studies utilizing the general linear model, mixed linear model, compressed mixed linear model, and settlement of MLM under progressively exclusive relationship models were conducted to identify marker-trait associations while effectively controlling for population structure. RESULTS The results demonstrated that these models effectively managed population structure. Eight SNP loci significantly associated with FORR resistance in soybean were detected, primarily located on Chromosome 6. Notably, there was a strong linkage disequilibrium between the large-effect SNPs ss715595462 and ss715595463, contributing substantially to phenotypic variation. Within the genetic interval encompassing these loci, 28 genes were present, with one gene Glyma.06G088400 encoding a protein kinase family protein containing a leucine-rich repeat domain identified as a potential candidate gene in the reference genome of Williams82. Additionally, quantitative real-time reverse transcription polymerase chain reaction analysis evaluated the gene expression levels between highly resistant and susceptible accessions, focusing on primary root tissues collected at different time points after F. oxysporum inoculation. Among the examined genes, only this gene emerged as the strongest candidate associated with FORR resistance. CONCLUSIONS The identification of this candidate gene Glyma.06G088400 improves our understanding of soybean resistance to FORR and the markers strongly linked to resistance can be beneficial for molecular marker-assisted selection in breeding resistant soybean accessions against F. oxysporum.
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Affiliation(s)
- Yongsheng Sang
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, National Engineering Research Center for Soybean, Changchun, 130118, Jilin, PR China
- College of Agronomy, Jilin Agricultural University, Changchun, 130118, Jilin, PR China
| | - Xiaodong Liu
- Crop Germplasm Institute, Jilin Academy of Agricultural Sciences, Changchun, 130118, Jilin, China
| | - Cuiping Yuan
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, National Engineering Research Center for Soybean, Changchun, 130118, Jilin, PR China
| | - Tong Yao
- College of Agronomy, Jilin Agricultural University, Changchun, 130118, Jilin, PR China
| | - Yuqiu Li
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, National Engineering Research Center for Soybean, Changchun, 130118, Jilin, PR China
| | - Dechun Wang
- Department of Plant, Soil and Microbial Sciences, Michigan State University, 1066 Bogue St., Rm. A384-E, East Lansing, MI, 48824, USA
| | - Hongkun Zhao
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, National Engineering Research Center for Soybean, Changchun, 130118, Jilin, PR China.
| | - Yumin Wang
- Soybean Research Institute, Jilin Academy of Agricultural Sciences, National Engineering Research Center for Soybean, Changchun, 130118, Jilin, PR China.
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Sang Y, Zhao H, Liu X, Yuan C, Qi G, Li Y, Dong L, Wang Y, Wang D, Wang Y, Dong Y. Genome-wide association study of powdery mildew resistance in cultivated soybean from Northeast China. FRONTIERS IN PLANT SCIENCE 2023; 14:1268706. [PMID: 38023859 PMCID: PMC10651740 DOI: 10.3389/fpls.2023.1268706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023]
Abstract
Powdery mildew (PMD), caused by the pathogen Microsphaera diffusa, leads to substantial yield decreases in susceptible soybean under favorable environmental conditions. Effective prevention of soybean PMD damage can be achieved by identifying resistance genes and developing resistant cultivars. In this study, we genotyped 331 soybean germplasm accessions, primarily from Northeast China, using the SoySNP50K BeadChip, and evaluated their resistance to PMD in a greenhouse setting. To identify marker-trait associations while effectively controlling for population structure, we conducted genome-wide association studies utilizing factored spectrally transformed linear mixed models, mixed linear models, efficient mixed-model association eXpedited, and compressed mixed linear models. The results revealed seven single nucleotide polymorphism (SNP) loci strongly associated with PMD resistance in soybean. Among these, one SNP was localized on chromosome (Chr) 14, and six SNPs with low linkage disequilibrium were localized near or in the region of previously mapped genes on Chr 16. In the reference genome of Williams82, we discovered 96 genes within the candidate region, including 17 resistance (R)-like genes, which were identified as potential candidate genes for PMD resistance. In addition, we performed quantitative real-time reverse transcription polymerase chain reaction analysis to evaluate the gene expression levels in highly resistant and susceptible genotypes, focusing on leaf tissues collected at different times after M. diffusa inoculation. Among the examined genes, three R-like genes, including Glyma.16G210800, Glyma.16G212300, and Glyma.16G213900, were identified as strong candidates associated with PMD resistance. This discovery can significantly enhance our understanding of soybean resistance to PMD. Furthermore, the significant SNPs strongly associated with resistance can serve as valuable markers for genetic improvement in breeding M. diffusa-resistant soybean cultivars.
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Affiliation(s)
- Yongsheng Sang
- College of Agronomy, Jilin Agricultural University, Changchun, Jilin, China
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Hongkun Zhao
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Xiaodong Liu
- Crop Germplasm Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Cuiping Yuan
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Guangxun Qi
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Yuqiu Li
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Lingchao Dong
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Yingnan Wang
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Dechun Wang
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, United States
| | - Yumin Wang
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Yingshan Dong
- College of Agronomy, Jilin Agricultural University, Changchun, Jilin, China
- Soybean Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
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Bie H, Li Y, Zhao Y, Fang W, Chen C, Wang X, Wu J, Wang L, Cao K. Genome-wide presence/absence variation discovery and its application in Peach (Prunus persica). PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2023; 335:111778. [PMID: 37353009 DOI: 10.1016/j.plantsci.2023.111778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/18/2023] [Accepted: 06/19/2023] [Indexed: 06/25/2023]
Abstract
Gene presence/absence variation (PAV) is an important contributor to the studies of genetic diversity, gene identification, and molecular marker development in plants. In the present study, 100 peach (Prunus persica) accessions were used for genome resequencing to identify PAVs. Alignmentwith a reference genome yielded a total of 2.52 Mb non-reference sequences and 923 novel genes were identified. The dispensable PAVs were enriched in resistance, perhaps reflecting their roles in plant adaptation to various environments. Furthermore, selection sweeps associated with peach domestication and improvement were identified based on PAV data. Only 4.3% and 13.4% of domestication and improvement sweeps, respectively, were identified simultaneously using single nucleotide polymorphism (SNP) data, suggesting flexible identification between the different methods. To further verify the applicability of PAV identification, a genome-wide association study was conducted using 21 agronomic traits. Some of the identified loci were consistent with those reported in previous studies, while some were mapped for the first time; the latter included petiole length, petiole gland shape, and petiole gland number. Through tissue-specific expression analysis and gene transformation experiments, a novel gene, evm.model.Contig322_A94.1, was identified and found to be involved in chilling requirements. We speculated that this novel gene might regulate the trait by participating in the ABA signaling pathway. The PAVs identified in P. persica provide valuable resources for mapping the entire gene set and identifying optional markers for molecular selection in future studies.
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Affiliation(s)
- Hangling Bie
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China; The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Yong Li
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Yalin Zhao
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Weichao Fang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Changwen Chen
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Xinwei Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jinlong Wu
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Lirong Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.
| | - Ke Cao
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China; The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China.
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Yi F, Zhang Y, Yuan J, Liu Z, Zhai F, Hao A, Wu F, Somekh J, Peleg M, Zhu YC, Huang Z. Identifying underlying patterns in Alzheimer's disease trajectory: a deep learning approach and Mendelian randomization analysis. EClinicalMedicine 2023; 64:102247. [PMID: 37811490 PMCID: PMC10556591 DOI: 10.1016/j.eclinm.2023.102247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 10/10/2023] Open
Abstract
Background Alzheimer's disease (AD) is a heterogeneously progressive neurodegeneration disorder with varied rates of deterioration, either between subjects or within different stages of a certain subject. Estimating the course of AD at early stages has treatment implications. We aimed to analyze disease progression to identify distinct patterns in AD trajectory. Methods We proposed a deep learning model to identify underlying patterns in the trajectory from cognitively normal (CN) to a state of mild cognitive impairment (MCI) to AD dementia, by jointly predicting time-to-conversion and clustering out distinct subgroups characterized by comprehensive features as well as varied progression rates. We designed and validated our model on the ADNI dataset (1370 participants). Prediction of time-to-conversion in AD trajectory was used to validate the expression of the identified patterns. Causality between patterns and time-to-conversion was further inferred using Mendelian randomization (MR) analysis. External validation was performed on the AIBL dataset (233 participants). Findings The proposed model clustered out patterns characterized by significantly different biomarkers and varied progression rates. The discovered patterns also showed a strong prediction ability, as indicated by hazard ratio (CN→MCI, HR = 3.51, p < 0.001; MCI→AD, HR = 8.11, p < 0.001), C-Index (CN→MCI, 0.618; MCI→AD, 0.718), and AUC (CN→MCI, 3 years 0.802, 5 years 0.876; MCI→AD, 3 years 0.914, 5 years 0.957). In the external validation cohort, our model demonstrated competitive performance on conversion time prediction (CN→MCI, C-Index = 0.693; MCI→AD, C-Index = 0.752). Moreover, suggestive associations between CN→MCI/MCI→AD patterns with four/three SNPs were mediated and MR analysis indicated a causal link between MCI→AD patterns and time-to-conversion in the first three years. Interpretation Our proposed model identifies biologically and clinically meaningful patterns from real-world data and provides promising performance on time-to-conversion prediction in AD trajectory, which could promote the understanding of disease progression, facilitate clinical trial design, and provide potential for decision-making. Funding The National Key Research and Development Program of China, the Key R&D Program of Zhejiang, and the National Nature Science Foundation of China.
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Affiliation(s)
- Fan Yi
- College of Computer Science and Technology, Zhejiang University, China
| | | | - Jing Yuan
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Ziyue Liu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Feifei Zhai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Ankai Hao
- College of Computer Science and Technology, Zhejiang University, China
| | - Fei Wu
- College of Computer Science and Technology, Zhejiang University, China
| | - Judith Somekh
- Department of Information Systems, University of Haifa, Haifa, Israel
| | - Mor Peleg
- Department of Information Systems, University of Haifa, Haifa, Israel
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Zhengxing Huang
- College of Computer Science and Technology, Zhejiang University, China
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20
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Zhao YL, Li Y, Cao K, Yao JL, Bie HL, Khan IA, Fang WC, Chen CW, Wang XW, Wu JL, Guo WW, Wang LR. MADS-box protein PpDAM6 regulates chilling requirement-mediated dormancy and bud break in peach. PLANT PHYSIOLOGY 2023; 193:448-465. [PMID: 37217835 PMCID: PMC10469376 DOI: 10.1093/plphys/kiad291] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 04/11/2023] [Accepted: 04/18/2023] [Indexed: 05/24/2023]
Abstract
Bud dormancy is crucial for winter survival and is characterized by the inability of the bud meristem to respond to growth-promotive signals before the chilling requirement (CR) is met. However, our understanding of the genetic mechanism regulating CR and bud dormancy remains limited. This study identified PpDAM6 (DORMANCY-ASSOCIATED MADS-box) as a key gene for CR using a genome-wide association study analysis based on structural variations in 345 peach (Prunus persica (L.) Batsch) accessions. The function of PpDAM6 in CR regulation was demonstrated by transiently silencing the gene in peach buds and stably overexpressing the gene in transgenic apple (Malus × domestica) plants. The results showed an evolutionarily conserved function of PpDAM6 in regulating bud dormancy release, followed by vegetative growth and flowering, in peach and apple. The 30-bp deletion in the PpDAM6 promoter was substantially associated with reducing PpDAM6 expression in low-CR accessions. A PCR marker based on the 30-bp indel was developed to distinguish peach plants with non-low and low CR. Modification of the H3K27me3 marker at the PpDAM6 locus showed no apparent change across the dormancy process in low- and non-low- CR cultivars. Additionally, H3K27me3 modification occurred earlier in low-CR cultivars on a genome-wide scale. PpDAM6 could mediate cell-cell communication by inducing the expression of the downstream genes PpNCED1 (9-cis-epoxycarotenoid dioxygenase 1), encoding a key enzyme for ABA biosynthesis, and CALS (CALLOSE SYNTHASE), encoding callose synthase. We shed light on a gene regulatory network formed by PpDAM6-containing complexes that mediate CR underlying dormancy and bud break in peach. A better understanding of the genetic basis for natural variations of CR can help breeders develop cultivars with different CR for growing in different geographical regions.
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Affiliation(s)
- Ya-Lin Zhao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan 430070, China
| | - Yong Li
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- National Horticultural Germplasm Resources Center, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
| | - Ke Cao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- National Horticultural Germplasm Resources Center, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
| | - Jia-Long Yao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- The New Zealand Institute for Plant and Food Research Limited, Private Bag 92169, Auckland 1142, New Zealand
| | - Hang-Ling Bie
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan 430070, China
| | - Irshad Ahmad Khan
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
| | - Wei-Chao Fang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- National Horticultural Germplasm Resources Center, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
| | - Chang-Wen Chen
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- National Horticultural Germplasm Resources Center, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
| | - Xin-Wei Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- National Horticultural Germplasm Resources Center, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
| | - Jin-Long Wu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- National Horticultural Germplasm Resources Center, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
| | - Wen-Wu Guo
- College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan 430070, China
| | - Li-Rong Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
- National Horticultural Germplasm Resources Center, Chinese Academy of Agricultural Sciences, Zhengzhou 450000, China
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Hou M, Cao Y, Zhang X, Zhang S, Jia T, Yang J, Han S, Wang L, Li J, Wang H, Zhang L, Wu X, Duan C, Li H. Genome-wide association study of maize resistance to Pythium aristosporum stalk rot. FRONTIERS IN PLANT SCIENCE 2023; 14:1239635. [PMID: 37662167 PMCID: PMC10470045 DOI: 10.3389/fpls.2023.1239635] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 07/28/2023] [Indexed: 09/05/2023]
Abstract
Stalk rot, a severe and widespread soil-borne disease in maize, globally reduces yield and quality. Recent documentation reveals that Pythium aristosporum has emerged as one of the dominant causal agents of maize stalk rot. However, a previous study of maize stalk rot disease resistance mechanisms and breeding had mainly focused on other pathogens, neglecting P. aristosporum. To mitigate crop loss, resistance breeding is the most economical and effective strategy against this disease. This study involved characterizing resistance in 295 inbred lines using the drilling inoculation method and genotyping them via sequencing. By combining with population structure, disease resistance phenotype, and genome-wide association study (GWAS), we identified 39 significant single-nucleotide polymorphisms (SNPs) associated with P. aristosporum stalk rot resistance by utilizing six statistical methods. Bioinformatics analysis of these SNPs revealed 69 potential resistance genes, among which Zm00001d051313 was finally evaluated for its roles in host defense response to P. aristosporum infection. Through virus-induced gene silencing (VIGS) verification and physiological index determination, we found that transient silencing of Zm00001d051313 promoted P. aristosporum infection, indicating a positive regulatory role of this gene in maize's antifungal defense mechanism. Therefore, these findings will help advance our current understanding of the underlying mechanisms of maize defense to Pythium stalk rot.
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Affiliation(s)
- Mengwei Hou
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Yanyong Cao
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Xingrui Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shulin Zhang
- College of Biology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Tengjiao Jia
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Jiwei Yang
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Shengbo Han
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Lifeng Wang
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Jingjing Li
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Hao Wang
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Lili Zhang
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Xiaolin Wu
- College of Life Science, Henan Agricultural University, Zhengzhou, China
| | - Canxing Duan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huiyong Li
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China
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22
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Alseekh S, Karakas E, Zhu F, Wijesingha Ahchige M, Fernie AR. Plant biochemical genetics in the multiomics era. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:4293-4307. [PMID: 37170864 PMCID: PMC10433942 DOI: 10.1093/jxb/erad177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/09/2023] [Indexed: 05/13/2023]
Abstract
Our understanding of plant biology has been revolutionized by modern genetics and biochemistry. However, biochemical genetics can be traced back to the foundation of Mendelian genetics; indeed, one of Mendel's milestone discoveries of seven characteristics of pea plants later came to be ascribed to a mutation in a starch branching enzyme. Here, we review both current and historical strategies for the elucidation of plant metabolic pathways and the genes that encode their component enzymes and regulators. We use this historical review to discuss a range of classical genetic phenomena including epistasis, canalization, and heterosis as viewed through the lens of contemporary high-throughput data obtained via the array of approaches currently adopted in multiomics studies.
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Affiliation(s)
- Saleh Alseekh
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria
| | - Esra Karakas
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Feng Zhu
- National R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, 430070 Wuhan, China
| | | | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria
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23
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Song B, Ning W, Wei D, Jiang M, Zhu K, Wang X, Edwards D, Odeny DA, Cheng S. Plant genome resequencing and population genomics: Current status and future prospects. MOLECULAR PLANT 2023; 16:1252-1268. [PMID: 37501370 DOI: 10.1016/j.molp.2023.07.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 05/30/2023] [Accepted: 07/25/2023] [Indexed: 07/29/2023]
Abstract
Advances in DNA sequencing technology have sparked a genomics revolution, driving breakthroughs in plant genetics and crop breeding. Recently, the focus has shifted from cataloging genetic diversity in plants to exploring their functional significance and delivering beneficial alleles for crop improvement. This transformation has been facilitated by the increasing adoption of whole-genome resequencing. In this review, we summarize the current progress of population-based genome resequencing studies and how these studies affect crop breeding. A total of 187 land plants from 163 countries have been resequenced, comprising 54 413 accessions. As part of resequencing efforts 367 traits have been surveyed and 86 genome-wide association studies have been conducted. Economically important crops, particularly cereals, vegetables, and legumes, have dominated the resequencing efforts, leaving a gap in 49 orders, including Lycopodiales, Liliales, Acorales, Austrobaileyales, and Commelinales. The resequenced germplasm is distributed across diverse geographic locations, providing a global perspective on plant genomics. We highlight genes that have been selected during domestication, or associated with agronomic traits, and form a repository of candidate genes for future research and application. Despite the opportunities for cross-species comparative genomics, many population genomic datasets are not accessible, impeding secondary analyses. We call for a more open and collaborative approach to population genomics that promotes data sharing and encourages contribution-based credit policy. The number of plant genome resequencing studies will continue to rise with the decreasing DNA sequencing costs, coupled with advances in analysis and computational technologies. This expansion, in terms of both scale and quality, holds promise for deeper insights into plant trait genetics and breeding design.
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Affiliation(s)
- Bo Song
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Weidong Ning
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; Huazhong Agricultural University, College of Informatics, Hubei Key Laboratory of Agricultural Bioinformatics, Wuhan, Hubei, China
| | - Di Wei
- Biotechnology Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 53007, China
| | - Mengyun Jiang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475004, China; Shenzhen Research Institute of Henan University, Shenzhen 518000, China
| | - Kun Zhu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475004, China; Shenzhen Research Institute of Henan University, Shenzhen 518000, China
| | - Xingwei Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475004, China; Shenzhen Research Institute of Henan University, Shenzhen 518000, China
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA, Australia
| | - Damaris A Odeny
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) - Eastern and Southern Africa, Nairobi, Kenya
| | - Shifeng Cheng
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
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24
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Liu D, Tan W, Wang H, Li W, Fu J, Li J, Zhou Y, Lin M, Xing W. Genetic diversity and genome-wide association study of 13 agronomic traits in 977 Beta vulgaris L. germplasms. BMC Genomics 2023; 24:413. [PMID: 37488485 PMCID: PMC10364417 DOI: 10.1186/s12864-023-09522-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 07/17/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Sugar beet (Beta vulgaris L.) is an economically essential sugar crop worldwide. Its agronomic traits are highly diverse and phenotypically plastic, influencing taproot yield and quality. The National Beet Medium-term Gene Bank in China maintains more than 1700 beet germplasms with diverse countries of origin. However, it lacks detailed genetic background associated with morphological variability and diversity. RESULTS Here, a comprehensive genome-wide association study (GWAS) of 13 agronomic traits was conducted in a panel of 977 sugar beet accessions. Almost all phenotypic traits exhibited wide genetic diversity and high coefficient of variation (CV). A total of 170,750 high-quality single-nucleotide polymorphisms (SNPs) were obtained using the genotyping-by-sequencing (GBS). Neighbour-joining phylogenetic analysis, principal component analysis, population structure and kinship showed no obvious relationships among these genotypes based on subgroups or regional sources. GWAS was carried out using a mixed linear model, and 159 significant associations were detected for these traits. Within the 25 kb linkage disequilibrium decay of the associated markers, NRT1/PTR FAMILY 6.3 (BVRB_5g097760); nudix hydrolase 15 (BVRB_8g182070) and TRANSPORT INHIBITOR RESPONSE 1 (BVRB_8g181550); transcription factor MYB77 (BVRB_2g023500); and ethylene-responsive transcription factor ERF014 (BVRB_1g000090) were predicted to be strongly associated with the taproot traits of root groove depth (RGD); root shape (RS); crown size (CS); and flesh colour (FC), respectively. For the aboveground traits, UDP-glycosyltransferase 79B6 (BVRB_9g223780) and NAC domain-containing protein 7 (BVRB_5g097990); F-box protein At1g10780 (BVRB_6g140760); phosphate transporter PHO1 (BVRB_3g048660); F-box protein CPR1 (BVRB_8g181140); and transcription factor MYB77 (BVRB_2g023500) and alcohol acyltransferase 9 (BVRB_2g023460) might be associated with the hypocotyl colour (HC); plant type (PT); petiole length (PL); cotyledon size (C); and fascicled leaf type (FLT) of sugar beet, respectively. AP-2 complex subunit mu (BVRB_5g106130), trihelix transcription factor ASIL2 (BVRB_2g041790) and late embryogenesis abundant protein 18 (BVRB_5g106150) might be involved in pollen quantity (PQ) variation. The candidate genes extensively participated in hormone response, nitrogen and phosphorus transportation, secondary metabolism, fertilization and embryo maturation. CONCLUSIONS The genetic basis of agronomical traits is complicated in heterozygous diploid sugar beet. The putative valuable genes found in this study will help further elucidate the molecular mechanism of each phenotypic trait for beet breeding.
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Affiliation(s)
- Dali Liu
- National Beet Medium-term Gene Bank, Heilongjiang University, Harbin, 150080, P. R. China
- Key Laboratory of Sugar Beet Genetics and Breeding, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, 150080, P. R. China
| | - Wenbo Tan
- National Beet Medium-term Gene Bank, Heilongjiang University, Harbin, 150080, P. R. China
- Key Laboratory of Sugar Beet Genetics and Breeding, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, 150080, P. R. China
| | - Hao Wang
- National Beet Medium-term Gene Bank, Heilongjiang University, Harbin, 150080, P. R. China
- Key Laboratory of Sugar Beet Genetics and Breeding, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, 150080, P. R. China
| | - Wangsheng Li
- National Beet Medium-term Gene Bank, Heilongjiang University, Harbin, 150080, P. R. China
- Key Laboratory of Sugar Beet Genetics and Breeding, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, 150080, P. R. China
| | - Jingjing Fu
- National Beet Medium-term Gene Bank, Heilongjiang University, Harbin, 150080, P. R. China
- Key Laboratory of Sugar Beet Genetics and Breeding, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, 150080, P. R. China
| | - Jiajia Li
- National Beet Medium-term Gene Bank, Heilongjiang University, Harbin, 150080, P. R. China
- Key Laboratory of Sugar Beet Genetics and Breeding, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, 150080, P. R. China
| | - Yuanhang Zhou
- Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, P. R. China
| | - Ming Lin
- Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, P. R. China
| | - Wang Xing
- National Beet Medium-term Gene Bank, Heilongjiang University, Harbin, 150080, P. R. China.
- Key Laboratory of Sugar Beet Genetics and Breeding, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, 150080, P. R. China.
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25
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Li X, Wang J, Su M, Zhang M, Hu Y, Du J, Zhou H, Yang X, Zhang X, Jia H, Gao Z, Ye Z. Multiple-statistical genome-wide association analysis and genomic prediction of fruit aroma and agronomic traits in peaches. HORTICULTURE RESEARCH 2023; 10:uhad117. [PMID: 37577398 PMCID: PMC10419450 DOI: 10.1093/hr/uhad117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/21/2023] [Indexed: 08/15/2023]
Abstract
'Chinese Cling' is an important founder in peach breeding history due to the pleasant flavor. Genome-wide association studies (GWAS) combined with genomic selection are promising tools in fruit tree breeding, as there is a considerable time lapse between crossing and release of a cultivar. In this study, 242 peaches from Shanghai germplasm were genotyped with 145 456 single-nucleotide polymorphisms (SNPs). The six agronomic traits of fruit flesh color, fruit shape, fruit hairiness, flower type, pollen sterility, and soluble solids content, along with 14 key volatile odor compounds (VOCs), were recorded for multiple-statistical GWAS. Except the reported candidate genes, six novel genes were identified as associated with these traits. Thirty-nine significant SNPs were associated with eight VOCs. The putative candidate genes were confirmed for VOCs by RNA-seq, including three genes in the biosynthesis pathway found to be associated with linalool, soluble solids content, and cis-3-hexenyl acetate. Multiple-trait genomic prediction enhanced the predictive ability for γ-decalactone to 0.7415 compared with the single-trait model value of 0.1017. One PTS1-SSR marker was designed to predict the linalool content, and the favorable genotype 187/187 was confirmed, mainly existing in the 'Shanghai Shuimi' landrace. Overall, our findings will be helpful in determining peach accessions with the ideal phenotype and show the potential of multiple-trait genomic prediction to improve accuracy for highly correlated genetic traits. The diagnostic marker will be valuable for the breeder to bridge the gap between quantitative trait loci and marker-assisted selection for developing strong-aroma cultivars.
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Affiliation(s)
- Xiongwei Li
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Jiabo Wang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University, Ministry of Education), Chengdu, Sichuan 610041, China
| | - Mingshen Su
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Minghao Zhang
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Yang Hu
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Jihong Du
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Huijuan Zhou
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Xiaofeng Yang
- Peach Group of Shanghai Runzhuang Agricultural Science and Technology Institute, Shanghai 201415, China
| | - Xianan Zhang
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
| | - Huijuan Jia
- Department of Horticulture, Key Laboratory for Horticultural Plant Growth, Development and Quality Improvement of State Agriculture Ministry, Zhejiang Unihversity, Hangzhou 310058, China
| | - Zhongshan Gao
- Department of Horticulture, Key Laboratory for Horticultural Plant Growth, Development and Quality Improvement of State Agriculture Ministry, Zhejiang Unihversity, Hangzhou 310058, China
| | - Zhengwen Ye
- Peach Research Department of Forest & Fruit Tree Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
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26
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Zhao Y, He S, Huang J, Liu M. Genome-Wide Association Analysis of Muscle pH in Texel Sheep × Altay Sheep F 2 Resource Population. Animals (Basel) 2023; 13:2162. [PMID: 37443959 DOI: 10.3390/ani13132162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/29/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
pH was one of the important meat quality traits, which was an important factor affecting the storage/shelf life and quality of meat in meat production. In order to find a way to extend the storage/shelf life, the pH values (pH45min, pH24h, pH48h and pH72h) of the longissimus dorsi muscles in F2 individuals of 462 Texel sheep × Altay sheep were determined, genotyping was performed using Illumina Ovine SNP 600 K BeadChip and whole genome resequencing technology, a genome-wide association analysis (GWAS) was used to screen the candidate genes and molecular markers for pH values related to the quality traits of mutton, and the effects of population stratification were detected by Q-Q plots. The results showed that the pH population stratification analysis did not find significant systemic bias, and there was no obvious population stratification effect. The results of the association analysis showed that 28 SNPs significantly associated with pH reached the level of genomic significance. The candidate gene associated with pH45min was identified as the CCDC92 gene by gene annotation and a search of the literature. Candidate genes related to pH24h were KDM4C, TGFB2 and GOT2 genes. The candidate genes related to pH48h were MMP12 and MMP13 genes. The candidate genes related to pH72h were HILPDA and FAT1 genes. Further bioinformatics analyses showed 24 gene ontology terms and five signaling pathways that were significantly enriched (p ≤ 0.05). Many terms and pathways were related to cellular components, processes of protein modification, the activity of protein dimerization and hydrolase activity. These identified SNPs and genes could provide useful information about meat and the storage/shelf life of meat, thereby extending the storage/shelf life and quality of meat.
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Affiliation(s)
- Yilong Zhao
- College of Animal Science and Technology, Shihezi University, Shihezi 832000, China
- College of Animal Science and Technology, Xinjiang Agricultural Vocational and Technical College, Changji 831100, China
| | - Sangang He
- Biotechnology Institute, Xinjiang Academy of Animal Science, Urumqi 830013, China
| | | | - Mingjun Liu
- Biotechnology Institute, Xinjiang Academy of Animal Science, Urumqi 830013, China
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Huang Q, Lu L, Xu Y, Tu M, Chen X, Jiang L. Genotypic variation of tocopherol content in a representative genetic population and genome-wide association study on tocopherol in rapeseed ( Brassica napus). MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:50. [PMID: 37313221 PMCID: PMC10248655 DOI: 10.1007/s11032-023-01394-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/10/2023] [Indexed: 06/15/2023]
Abstract
Tocopherols (Tocs) are a kind of lipid-soluble substance required for the normal physiological function of mammals, particularly their antioxidant capacity. Rapeseed (Brassica napus) oil is an important source of exogenous Tocs. However, the genotypic differences in the total Toc contents, the Toc composition in the seeds, and the molecular markers associated with the seed Toc remain largely unknown. Here, we selected 290 rapeseed accessions based on the resequencing of 991 genomes in a worldwide collection of rapeseed germplasm. The contents of the four Toc isoforms, namely, α-, β-, γ-, and δ-Tocs, were also measured. Results show that the total Toc content and the γ-/α-Toc ratio varied greatly across the accessions from 85.34 to 387.00 mg/mg and 0.65 to 5.03, respectively. Furthermore, we conducted genome-wide association studies on the Tocs, which identified 28 and 73 single nucleotide polymorphisms significantly associated with the variation of total Toc content and γ-/α-Toc ratio, respectively. Bna.C02.VTE4, a putative orthologue of Arabidopsis VITAMIN E DEFICIENT 4, was tightly associated with the γ-/α-Toc ratio. This study recommends specific genetic materials with particularly high total Toc and/or low γ-/α-Toc ratio and the molecular markers and haplotypes associated with these quality traits for rapeseed breeding. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01394-0.
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Affiliation(s)
- Qi Huang
- Institute of Crop Science, Zhejiang University, Yu-Hang-Tang Road 866, Hangzhou, 310058 China
| | - Lingzhi Lu
- Institute of Crop Science, Zhejiang University, Yu-Hang-Tang Road 866, Hangzhou, 310058 China
| | - Ying Xu
- Institute of Crop Science, Zhejiang University, Yu-Hang-Tang Road 866, Hangzhou, 310058 China
| | - Mengxin Tu
- Institute of Crop Science, Zhejiang University, Yu-Hang-Tang Road 866, Hangzhou, 310058 China
| | - Xiaoyang Chen
- Institute of Crop Science, Jinhua Academy of Agricultural Sciences, Shuang-Long Street 828, Jinhua, 321017 China
| | - Lixi Jiang
- Institute of Crop Science, Zhejiang University, Yu-Hang-Tang Road 866, Hangzhou, 310058 China
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28
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Huang M, Zhu X, Bai H, Wang C, Gou N, Zhang Y, Chen C, Yin M, Wang L, Wuyun T. Comparative Anatomical and Transcriptomics Reveal the Larger Cell Size as a Major Contributor to Larger Fruit Size in Apricot. Int J Mol Sci 2023; 24:ijms24108748. [PMID: 37240096 DOI: 10.3390/ijms24108748] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 04/25/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Fruit size is one of the essential quality traits and influences the economic value of apricots. To explore the underlying mechanisms of the formation of differences in fruit size in apricots, we performed a comparative analysis of anatomical and transcriptomics dynamics during fruit growth and development in two apricot cultivars with contrasting fruit sizes (large-fruit Prunus armeniaca 'Sungold' and small-fruit P. sibirica 'F43'). Our analysis identified that the difference in fruit size was mainly caused by the difference in cell size between the two apricot cultivars. Compared with 'F43', the transcriptional programs exhibited significant differences in 'Sungold', mainly in the cell expansion period. After analysis, key differentially expressed genes (DEGs) most likely to influence cell size were screened out, including genes involved in auxin signal transduction and cell wall loosening mechanisms. Furthermore, weighted gene co-expression network analysis (WGCNA) revealed that PRE6/bHLH was identified as a hub gene, which interacted with 1 TIR1, 3 AUX/IAAs, 4 SAURs, 3 EXPs, and 1 CEL. Hence, a total of 13 key candidate genes were identified as positive regulators of fruit size in apricots. The results provide new insights into the molecular basis of fruit size control and lay a foundation for future breeding and cultivation of larger fruits in apricot.
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Affiliation(s)
- Mengzhen Huang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- College of Forestry, Nanjing Forestry University, Nanjing 210037, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Xuchun Zhu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Haikun Bai
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Chu Wang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Ningning Gou
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Yujing Zhang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Chen Chen
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Mingyu Yin
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Lin Wang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Tana Wuyun
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
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Jing D, Liu X, He Q, Dang J, Hu R, Xia Y, Wu D, Wang S, Zhang Y, Xia Q, Zhang C, Yu Y, Guo Q, Liang G. Genome assembly of wild loquat ( Eriobotrya japonica) and resequencing provide new insights into the genomic evolution and fruit domestication in loquat. HORTICULTURE RESEARCH 2023; 10:uhac265. [PMID: 36778182 PMCID: PMC9909508 DOI: 10.1093/hr/uhac265] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/21/2022] [Indexed: 05/05/2023]
Abstract
Wild loquats (Eriobotrya japonica Lindl.) provide remarkable genetic resources for studying domestication and breeding improved varieties. Herein, we generate the first high-quality chromosome-level genome assembly of wild loquat, with 45 791 predicted protein-coding genes. Analysis of comparative genomics indicated that loquat shares a common ancestor with apple and pear, and a recent whole-genome duplication event occurred in loquat prior to its divergence. Genome resequencing showed that the loquat germplasms can be distinctly classified into wild and cultivated groups, and the commercial cultivars have experienced allelic admixture. Compared with cultivated loquats, the wild loquat genome showed very few selected genomic regions and had higher levels of genetic diversity. However, whole-genome scans of selective sweeps were mainly related to fruit quality, size, and flesh color during the domestication process. Large-scale transcriptome and metabolome analyses were further performed to identify differentially expressed genes (DEGs) and differentially accumulated metabolites (DAMs) in wild and cultivated loquats at various fruit development stages. Unlike those in wild loquat, the key DEGs and DAMs involved in carbohydrate metabolism, plant hormone signal transduction, flavonoid biosynthesis, and carotenoid biosynthesis were significantly regulated in cultivated loquats during fruit development. These high-quality reference genome, resequencing, and large-scale transcriptome/metabolome data provide valuable resources for elucidating fruit domestication and molecular breeding in loquat.
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Affiliation(s)
| | | | | | - Jiangbo Dang
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Ruoqian Hu
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Yan Xia
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Di Wu
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Shuming Wang
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Yin Zhang
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Qingqing Xia
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Chi Zhang
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
| | - Yuanhui Yu
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education, College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land, Chongqing 400715, China
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30
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Li Y, Guo L, Wang Z, Zhao D, Guo D, Carlson JE, Yin W, Hou X. Genome-wide association study of 23 flowering phenology traits and 4 floral agronomic traits in tree peony ( Paeonia section Moutan DC.) reveals five genes known to regulate flowering time. HORTICULTURE RESEARCH 2023; 10:uhac263. [PMID: 36793754 PMCID: PMC9926158 DOI: 10.1093/hr/uhac263] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 11/21/2022] [Indexed: 06/18/2023]
Abstract
Tree peony is a unique traditional flower in China, with large, fragrant, and colorful flowers. However, a relatively short and concentrated flowering period limits the applications and production of tree peony. A genome-wide association study (GWAS) was conducted to accelerate molecular breeding for the improvement of flowering phenology traits and ornamental phenotypes in tree peony. A diverse panel of 451 tree peony accessions was phenotyped for 23 flowering phenology traits and 4 floral agronomic traits over 3 years. Genotyping by sequencing (GBS) was used to obtain a large number of genome-wide single-nucleotide polymorphisms (SNPs) (107 050) for the panel genotypes, and 1047 candidate genes were identified by association mapping. Eighty-two related genes were observed during at least 2 years for flowering, and seven SNPs repeatedly identified for multiple flowering phenology traits over multiple years were highly significantly associated with five genes known to regulate flowering time. We validated the temporal expression profiles of these candidate genes and highlighted their possible roles in the regulation of flower bud differentiation and flowering time in tree peony. This study shows that GWAS based on GBS can be used to identify the genetic determinants of complex traits in tree peony. The results expand our understanding of flowering time control in perennial woody plants. Identification of markers closely related to these flowering phenology traits can be used in tree peony breeding programs for important agronomic traits.
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Affiliation(s)
| | | | - Zhanying Wang
- Luoyang Academy of Agricultural and Forestry Sciences, Luoyang, Henan, 471000, China
| | - Dehui Zhao
- College of Agronomy/College of Tree Peony, Henan University of Science and Technology, Luoyang, Henan, 471023, China
| | - Dalong Guo
- College of Forestry, Henan University of Science and Technology, Luoyang, Henan, 471023, China
| | - John E. Carlson
- Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA 16802, USA
| | - Weilun Yin
- College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
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Guo C, Zhang X, Li Y, Xie J, Gao P, Hao P, Han L, Zhang J, Wang W, Liu P, Ding J, Chang Y. Whole-genome resequencing reveals genetic differences and the genetic basis of parapodium number in Russian and Chinese Apostichopus japonicus. BMC Genomics 2023; 24:25. [PMID: 36647018 PMCID: PMC9843871 DOI: 10.1186/s12864-023-09113-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/04/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Apostichopus japonicus is an economically important species in the global aquaculture industry. Russian A. japonicus, mainly harvested in the Vladivostok region, exhibits significant phenotypic differentiation, including in many economically important traits, compared with Chinese A. japonicus owing to differences in their habitat. However, both the genetic basis for the phenotypic divergence and the population genetic structure of Russian and Chinese A. japonicus are unknown. RESULT In this study, 210 individuals from seven Russian and Chinese A. japonicus populations were sampled for whole-genome resequencing. The genetic structure analysis differentiated the Russian and Chinese A. japonicus into two groups. Population genetic analyses indicated that the Russian population showed a high degree of allelic linkage and had undergone stronger positive selection compared with the Chinese populations. Gene ontology terms enriched among candidate genes with group selection analysis were mainly involved in immunity, such as inflammatory response, antimicrobial peptides, humoral immunity, and apoptosis. Genome-wide association analysis yielded eight single-nucleotide polymorphism loci significantly associated with parapodium number, and these loci are located in regions with a high degree of genomic differentiation between the Chinese and Russia populations. These SNPs were associated with five genes. Gene expression validation revealed that three of these genes were significantly differentially expressed in individuals differing in parapodium number. AJAP08772 and AJAP08773 may directly affect parapodium production by promoting endothelial cell proliferation and metabolism, whereas AJAP07248 indirectly affects parapodium production by participating in immune responses. CONCLUSIONS This study, we performed population genetic structure and GWAS analysis on Chinese and Russian A. japonicus, and found three candidate genes related to the number of parapodium. The results provide an in-depth understanding of the differences in the genetic structure of A. japonicus populations in China and Russia, and provide important information for subsequent genetic analysis and breeding of this species.
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Affiliation(s)
- Chao Guo
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Xianglei Zhang
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Yuanxin Li
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Jiahui Xie
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Pingping Gao
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Pengfei Hao
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Lingshu Han
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
- Ningbo University, Ningbo, Zhejiang, 315211, People's Republic of China
| | - Jinyuan Zhang
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Wenpei Wang
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Peng Liu
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China
| | - Jun Ding
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China.
| | - Yaqing Chang
- Key Laboratory of Mariculture & Stock Enhancement in North China's Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning, 116023, People's Republic of China.
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Sun F, Ma J, Shi W, Yang Y. Genome-wide association analysis revealed genetic variation and candidate genes associated with the yield traits of upland cotton under drought conditions. FRONTIERS IN PLANT SCIENCE 2023; 14:1135302. [PMID: 37123844 PMCID: PMC10130383 DOI: 10.3389/fpls.2023.1135302] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 03/10/2023] [Indexed: 05/03/2023]
Abstract
Drought is one of the major abiotic stresses seriously affecting cotton yield. At present, the main cotton-producing areas in China are primarily arid and semiarid regions. Therefore, the identification of molecular markers and genes associated with cotton yield traits under drought conditions is of great importance for stabilize cotton yield under such conditions. In this study, resequencing data were used to conduct a genome-wide association study (GWAS) on 8 traits of 150 cotton germplasms. Under drought stress, 18 SNPs were significantly correlated with yield traits (single-boll weight (SBW) and seed (SC)), and 8 SNPs were identified as significantly correlated with effective fruit shoot number (EFBN) traits (a trait that is positively correlated with yield). Finally, a total of 15 candidate genes were screened. The combined results of the GWAS and transcriptome data analysis showed that four genes were highly expressed after drought stress, and these genes had significantly increased expression at 10, 15 and 25 DPA of fiber development. qRT-PCR was performed on two samples with drought tolerance extremes (drought-resistant Xinluzao 45 and drought-sensitive Xinluzao 26), revealing that three of the genes had the same differential expression pattern. This study provides a theoretical basis for the genetic analysis of cotton yield traits under drought stress, and provides gene resources for improved breeding of cotton yield traits under drought stress.
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Affiliation(s)
- Fenglei Sun
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
- Hainan Yazhou Bay Seed Laboratory, Sanya, Hainan, China
| | - Jun Ma
- Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Weijun Shi
- Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Yanlong Yang
- Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- *Correspondence: Yanlong Yang,
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Li L, Jin Z, Huang R, Zhou J, Song F, Yao L, Li P, Lu W, Xiao L, Quan M, Zhang D, Du Q. Leaf physiology variations are modulated by natural variations that underlie stomatal morphology in Populus. PLANT, CELL & ENVIRONMENT 2023; 46:150-170. [PMID: 36285358 DOI: 10.1111/pce.14471] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/26/2022] [Accepted: 05/28/2022] [Indexed: 06/16/2023]
Abstract
Stomata are essential for photosynthesis and abiotic stress tolerance. Here, we used multiomics approaches to dissect the genetic architecture and adaptive mechanisms that underlie stomatal morphology in Populus tomentosa juvenile natural population (303 accessions). We detected 46 candidate genes and 15 epistatic gene-pairs, associated with 5 stomatal morphologies and 18 leaf development and photosynthesis traits, through genome-wide association studies. Expression quantitative trait locus mapping revealed that stomata-associated gene loci were significantly associated with the expression of leaf-related genes; selective sweep analysis uncovered significant differentiation in the allele frequencies of genes that underlie stomatal variations. An allelic regulatory network operating under drought stress and adequate precipitation conditions, with three key regulators (DUF538, TRA2 and AbFH2) and eight interacting genes, was identified that might regulate leaf physiology via modulation of stomatal shape and density. Validation of candidate gene variations in drought-tolerant and F1 hybrid populations of P. tomentosa showed that the DUF538, TRA2 and AbFH2 loci cause functional stabilisation of spatiotemporal regulatory, whose favourable alleles can be faithfully transmitted to offspring. This study provides insights concerning leaf physiology and stress tolerance via the regulation of stomatal determination in perennial plants.
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Affiliation(s)
- Lianzheng Li
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Zhuoying Jin
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Rui Huang
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Jiaxuan Zhou
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Fangyuan Song
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Liangchen Yao
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Peng Li
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Wenjie Lu
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Liang Xiao
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Mingyang Quan
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Deqiang Zhang
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
| | - Qingzhang Du
- National Engineering Research Center of Tree breeding and Ecological restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
- The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, P.R. China
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Luo X, Zhou H, Cao D, Yan F, Chen P, Wang J, Woeste K, Chen X, Fei Z, An H, Malvolti M, Ma K, Liu C, Ebrahimi A, Qiao C, Ye H, Li M, Lu Z, Xu J, Cao S, Zhao P. Domestication and selection footprints in Persian walnuts (Juglans regia). PLoS Genet 2022; 18:e1010513. [PMID: 36477175 PMCID: PMC9728896 DOI: 10.1371/journal.pgen.1010513] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022] Open
Abstract
Walnut (Juglans) species are economically important hardwood trees cultivated worldwide for both edible nuts and high-quality wood. Broad-scale assessments of species diversity, evolutionary history, and domestication are needed to improve walnut breeding. In this study, we sequenced 309 walnut accessions from around the world, including 55 Juglans relatives, 98 wild Persian walnuts (J. regia), 70 J. regia landraces, and 86 J. regia cultivars. The phylogenetic tree indicated that J. regia samples (section Dioscaryon) were monophyletic within Juglans. The core areas of genetic diversity of J. regia germplasm were southwestern China and southern Asia near the Qinghai-Tibet Plateau and the Himalayas, and the uplift of the Himalayas was speculated to be the main factor leading to the current population dynamics of Persian walnut. The pattern of genomic variation in terms of nucleotide diversity, linkage disequilibrium, single nucleotide polymorphisms, and insertions/deletions revealed the domestication and selection footprints in Persian walnut. Selective sweep analysis, GWAS, and expression analysis further identified two transcription factors, JrbHLH and JrMYB6, that influence the thickness of the nut diaphragm as loci under selection during domestication. Our results elucidate the domestication and selection footprints in Persian walnuts and provide a valuable resource for the genomics-assisted breeding of this important crop.
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Affiliation(s)
- Xiang Luo
- College of Agriculture, Henan University, Kaifeng, Henan, China
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Huijuan Zhou
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
- Xi’an Botanical Garden of Shaanxi Province, Xi’an, China
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, China
| | - Da Cao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
- Laboratory of Functional Plant Biology, Department of Biology, Ghent University, Ghent, Belgium
| | - Feng Yan
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
| | - Pengpeng Chen
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
| | - Jiangtao Wang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
| | - Keith Woeste
- USDA Forest Service Hardwood Tree Improvement and Regeneration Center (HTIRC), Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, United States of America
| | - Xin Chen
- Shandong Institute of Pomology, National Germplasm Repository of Walnut and Chestnut, Tai’an, China
| | - Zhangjun Fei
- Boyce Thompson Institute for Plant Research, US Department of Agriculture (USDA) Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, New York, United States of America
| | - Hong An
- Bioinformatics and Analytics Core, University of Missouri, Columbia, Missouri, United States of America
| | - Maria Malvolti
- Research Institute on Terrestrial Ecosystems, National Research Council, Porano, Terni, Italy
| | - Kai Ma
- Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Chaobin Liu
- Laboratory of Functional Plant Biology, Department of Biology, Ghent University, Ghent, Belgium
| | - Aziz Ebrahimi
- USDA Forest Service Hardwood Tree Improvement and Regeneration Center (HTIRC), Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, United States of America
| | - Chengkui Qiao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Hang Ye
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
| | - Mengdi Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
| | - Zhenhua Lu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Jiabao Xu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- * E-mail: (JX); (SC); (PZ)
| | - Shangying Cao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
- * E-mail: (JX); (SC); (PZ)
| | - Peng Zhao
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, Shaanxi, China
- * E-mail: (JX); (SC); (PZ)
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Yin H, Yan Y, Hu W, Liu G, Zeng H, Wei Y, Shi H. Genome-wide association studies reveal genetic basis of ionomic variation in cassava. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:1212-1223. [PMID: 36239073 DOI: 10.1111/tpj.16006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/09/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
As one of the most important food crops, cassava (Manihot esculenta) is the main dietary source of micronutrients for about 1 billion people. However, the ionomic variation in cassava and the underlying genetic mechanisms remain unclear so far. Herein, genome-wide association studies were performed to reveal the specific single nucleotide polymorphisms (SNPs) that affect the ionomic variation in cassava. We identified 164 SNPs with P-values lower than the threshold located in 88 loci associated with divergent ionomic variations. Among them, 13 SNPs are related to both calcium (Ca) and magnesium (Mg), and many loci for different ionomic traits seem to be clustered on specific chromosome regions. Moreover, we identified the peak SNPs in the promoter regions of Sc10g003170 (encoding methionyl-tRNA synthetase [MetRS]) and Sc18g015190 (encoding the transcriptional regulatory protein AlgP) for nitrogen (N) and phosphorus (P) accumulation, respectively. Notably, these two SNPs (chr10_32807962 and chr18_31343738) were directly correlated with the transcript levels of Sc10g003170 (MetRS) and Sc18g015190 (AlgP), which positively modulated N accumulation and P concentration in cassava, respectively. Taken together, this study provides important insight into the genetic basis of cassava natural ionomic variation, which will promote genetic breeding to improve nutrient use and accumulation of elements in cassava.
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Affiliation(s)
- Hongyan Yin
- Key Laboratory of Biotechnology of Salt Tolerant Crops of Hainan Province, Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources (Provincial Ministry Building State Key Laboratory Breeding Base), Sanya Nanfan Research Institute, College of Tropical Crops, Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture, Hainan University, Hainan Province, Sanya and Haikou, China
| | - Yu Yan
- Key Laboratory of Biotechnology of Salt Tolerant Crops of Hainan Province, Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources (Provincial Ministry Building State Key Laboratory Breeding Base), Sanya Nanfan Research Institute, College of Tropical Crops, Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture, Hainan University, Hainan Province, Sanya and Haikou, China
- Hainan Yazhou Bay Seed Laboratory, Hainan Province, Sanya, China
| | - Wei Hu
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, 571101, Hainan Province, Haikou, Xueyuan Road 4, China
| | - Guoyin Liu
- Key Laboratory of Biotechnology of Salt Tolerant Crops of Hainan Province, Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources (Provincial Ministry Building State Key Laboratory Breeding Base), Sanya Nanfan Research Institute, College of Tropical Crops, Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture, Hainan University, Hainan Province, Sanya and Haikou, China
- Hainan Yazhou Bay Seed Laboratory, Hainan Province, Sanya, China
| | - Hongqiu Zeng
- Key Laboratory of Biotechnology of Salt Tolerant Crops of Hainan Province, Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources (Provincial Ministry Building State Key Laboratory Breeding Base), Sanya Nanfan Research Institute, College of Tropical Crops, Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture, Hainan University, Hainan Province, Sanya and Haikou, China
- Hainan Yazhou Bay Seed Laboratory, Hainan Province, Sanya, China
| | - Yunxie Wei
- Key Laboratory of Biotechnology of Salt Tolerant Crops of Hainan Province, Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources (Provincial Ministry Building State Key Laboratory Breeding Base), Sanya Nanfan Research Institute, College of Tropical Crops, Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture, Hainan University, Hainan Province, Sanya and Haikou, China
- Hainan Yazhou Bay Seed Laboratory, Hainan Province, Sanya, China
| | - Haitao Shi
- Key Laboratory of Biotechnology of Salt Tolerant Crops of Hainan Province, Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources (Provincial Ministry Building State Key Laboratory Breeding Base), Sanya Nanfan Research Institute, College of Tropical Crops, Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture, Hainan University, Hainan Province, Sanya and Haikou, China
- Hainan Yazhou Bay Seed Laboratory, Hainan Province, Sanya, China
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Exploring the Genetic Association between Obesity and Serum Lipid Levels Using Bivariate Methods. Twin Res Hum Genet 2022; 25:234-244. [PMID: 36606461 DOI: 10.1017/thg.2022.39] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
It is crucial to understand the genetic mechanisms and biological pathways underlying the relationship between obesity and serum lipid levels. Structural equation models (SEMs) were constructed to calculate heritability for body mass index (BMI), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the genetic connections between BMI and the four classes of lipids using 1197 pairs of twins from the Chinese National Twin Registry (CNTR). Bivariate genomewide association studies (GWAS) were performed to identify genetic variants associated with BMI and lipids using the records of 457 individuals, and the results were further validated in 289 individuals. The genetic background affecting BMI may differ by gender, and the heritability of males and females was 71% (95% CI [.66, .75]) and 39% (95% CI [.15, .71]) respectively. BMI was positively correlated with TC, TG and LDL-C in phenotypic and genetic correlation, while negatively correlated with HDL-C. There were gender differences in the correlation between BMI and lipids. Bivariate GWAS analysis and validation stage found 7 genes (LOC105378740, LINC02506, CSMD1, MELK, FAM81A, ERAL1 and MIR144) that were possibly related to BMI and lipid levels. The significant biological pathways were the regulation of cholesterol reverse transport and the regulation of high-density lipoprotein particle clearance (p < .001). BMI and blood lipid levels were affected by genetic factors, and they were genetically correlated. There might be gender differences in their genetic correlation. Bivariate GWAS analysis found MIR144 gene and its related biological pathways may influence obesity and lipid levels.
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Marchant L, Campos J, Luco J, Ramirez C, Barrientos F, Carrasco B, Silva H. Potential of traditional Chilean blood-fleshed peach to support livelihood opportunities in local agriculture. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2022. [DOI: 10.3389/fsufs.2022.820811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The blood-flesh peach or vineyard peach is an older heritage cultivar with juicy red-flesh and tart-sweet flavor. They are popular in France, where more than 200 years ago wine growers used to plant them on the vineyards as biological markers to detect the presence of powdery mildew. It is present in countries such as China, Italy, New Zealand, Australia and USA however, it remains a very rare variety worldwide. In Chile, the blood-flesh peach has a centenary presence in rural orchards where is called “Durazno Betarraga.” Reproduced by seeds, it has pass through generations of family farmers and has been adapted to local environmental conditions. This red-flesh peach is a local variety considered part of their traditional diets, however, cultural changes in food consumption, short postharvest life and water scarcity due to climate change are threatening its conservation. One of the objectives of the International Year of Fruits and Vegetables, as defined by the FAO, is to integrate small holders and family farmers into value chains for sustainable production and consumption of fruits and vegetables recognizing the contributions of farmer's landraces to their food security, nutrition, livelihoods and income. To promote this objective, we present the work we have been carry out for several years with a farming community. We have conducted ethnographic research to provide a qualitative description of the agricultural value of the blood peach in a limited territory of the Maule Region defined as the study area. For the quantitative section of our research we analyzed the antioxidant capacity (ORAC) and total polyphenol content and compared them with those of other fruits. To gather information on the presence of the blood-fleshed peach in other regions of Chile, we used a citizen science approach through social networks. We propose that this local variety is an innovative raw material to develop healthy fruit-based food, thus encouraging its conservation and consumption with a positive social and economic impact for the community and the local food system.
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Peng Z, Li W, Gan X, Zhao C, Paudel D, Su W, Lv J, Lin S, Liu Z, Yang X. Genome-Wide Analysis of SAUR Gene Family Identifies a Candidate Associated with Fruit Size in Loquat ( Eriobotrya japonica Lindl.). Int J Mol Sci 2022; 23:13271. [PMID: 36362065 PMCID: PMC9659022 DOI: 10.3390/ijms232113271] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 09/28/2023] Open
Abstract
Fruit size is an important fruit quality trait that influences the production and commodity values of loquats (Eriobotrya japonica Lindl.). The Small Auxin Upregulated RNA (SAUR) gene family has proven to play a vital role in the fruit development of many plant species. However, it has not been comprehensively studied in a genome-wide manner in loquats, and its role in regulating fruit size remains unknown. In this study, we identified 95 EjSAUR genes in the loquat genome. Tandem duplication and segmental duplication contributed to the expansion of this gene family in loquats. Phylogenetic analysis grouped the SAURs from Arabidopsis, rice, and loquat into nine clusters. By analyzing the transcriptome profiles in different tissues and at different fruit developmental stages and comparing two sister lines with contrasting fruit sizes, as well as by functional predictions, a candidate gene (EjSAUR22) highly expressed in expanding fruits was selected for further functional investigation. A combination of Indoleacetic acid (IAA) treatment and virus-induced gene silencing revealed that EjSAUR22 was not only responsive to auxin, but also played a role in regulating cell size and fruit expansion. The findings from our study provide a solid foundation for understanding the molecular mechanisms controlling fruit size in loquats, and also provide potential targets for manipulation of fruit size to accelerate loquat breeding.
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Affiliation(s)
- Ze Peng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China, Ministry of Agriculture and Rural Affairs, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
| | - Wenxiang Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China, Ministry of Agriculture and Rural Affairs, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
| | - Xiaoqing Gan
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China, Ministry of Agriculture and Rural Affairs, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
| | - Chongbin Zhao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China, Ministry of Agriculture and Rural Affairs, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
| | - Dev Paudel
- Department of Environmental Horticulture, Gulf Coast Research and Education Center, IFAS, University of Florida, Wimauma, FL 33598, USA
| | - Wenbing Su
- Fruit Research Institute, Fujian Academy of Agricultural Science, Fuzhou 350013, China
| | - Juan Lv
- College of Materials and Energy, South China Agricultural University, Guangzhou 510642, China
| | - Shunquan Lin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China, Ministry of Agriculture and Rural Affairs, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
| | - Zongli Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China, Ministry of Agriculture and Rural Affairs, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
| | - Xianghui Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China, Ministry of Agriculture and Rural Affairs, College of Horticulture, South China Agricultural University, Guangzhou 510642, China
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Su Z, Jia H, Sun M, Cai Z, Shen Z, Zhao B, Li J, Ma R, Yu M, Yan J. Integrative analysis of the metabolome and transcriptome reveals the molecular mechanism of chlorogenic acid synthesis in peach fruit. Front Nutr 2022; 9:961626. [PMID: 35928835 PMCID: PMC9344011 DOI: 10.3389/fnut.2022.961626] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 06/30/2022] [Indexed: 01/01/2023] Open
Abstract
As the most abundant phenolic acid in peach fruit, chlorogenic acid (CGA) is an important entry point for the development of natural dietary supplements and functional foods. However, the metabolic and regulation mechanisms underlying its accumulation in peach fruits remain unclear. In this study, we evaluated the composition and content of CGAs in mature fruits of 205 peach cultivars. In peach fruits, three forms of CGA (52.57%), neochlorogenic acid (NCGA, 47.13%), and cryptochlorogenic acid (CCGA, 0.30%) were identified. During the growth and development of peach fruits, the content of CGAs generally showed a trend of rising first and then decreasing. Notably, the contents of quinic acid, shikimic acid, p-coumaroyl quinic acid, and caffeoyl shikimic acid all showed similar dynamic patterns to that of CGA, which might provide the precursor material basis for the accumulation of CGA in the later stage. Moreover, CGA, lignin, and anthocyanins might have a certain correlation and these compounds work together to maintain a dynamic balance. By the comparative transcriptome analysis, 8 structural genes (Pp4CL, PpCYP98A, and PpHCT) and 15 regulatory genes (PpMYB, PpWRKY, PpERF, PpbHLH, and PpWD40) were initially screened as candidate genes of CGA biosynthesis. Our findings preliminarily analyzed the metabolic and molecular regulation mechanisms of CGA biosynthesis in peach fruit, which provided a theoretical basis for developing high-CGA content peaches in future breeding programs.
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Affiliation(s)
- Ziwen Su
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Haoran Jia
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Meng Sun
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
| | - Zhixiang Cai
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
| | - Zhijun Shen
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
| | - Bintao Zhao
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Jiyao Li
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Ruijuan Ma
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
| | - Mingliang Yu
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Juan Yan
- Institute of Pomology, Jiangsu Academy of Agricultural Sciences, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing, China
- *Correspondence: Juan Yan,
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Cao K, Wang B, Fang W, Zhu G, Chen C, Wang X, Li Y, Wu J, Tang T, Fei Z, Luo J, Wang L. Combined nature and human selections reshaped peach fruit metabolome. Genome Biol 2022; 23:146. [PMID: 35788225 PMCID: PMC9254577 DOI: 10.1186/s13059-022-02719-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 06/25/2022] [Indexed: 11/20/2022] Open
Abstract
Background Plant metabolites reshaped by nature and human beings are crucial for both their lives and human health. However, which metabolites respond most strongly to selection pressure at different evolutionary stages and what roles they undertake on perennial fruit crops such as peach remain unclear. Results Here, we report 18,052 significant locus-trait associations, 12,691 expression-metabolite correlations, and 294,676 expression quantitative trait loci (eQTLs) for peach. Our results indicate that amino acids accumulated in landraces may be involved in the environmental adaptation of peaches by responding to low temperature and drought. Moreover, the contents of flavonoids, the major nutrients in fruits, have kept decreasing accompanied by the reduced bitter flavor during both domestication and improvement stages. However, citric acid, under the selection of breeders’ and consumers’ preference for flavor, shows significantly different levels between eastern and western varieties. This correlates with differences in activity against cancer cells in vitro in fruit from these two regions. Based on the identified key genes regulating flavonoid and acid contents, we propose that more precise and targeted breeding technologies should be designed to improve peach varieties with rich functional contents because of the linkage of genes related to bitterness and acid taste, antioxidant and potential anti-cancer activity that are all located at the top of chromosome 5. Conclusions This study provides powerful data for future improvement of peach flavor, nutrition, and resistance in future and expands our understanding of the effects of natural and artificial selection on metabolites. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02719-6.
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Affiliation(s)
- Ke Cao
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Bin Wang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, China
| | - Weichao Fang
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Gengrui Zhu
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Changwen Chen
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Xinwei Wang
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Yong Li
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Jinlong Wu
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Tang Tang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, China
| | - Zhangjun Fei
- Boyce Thompson Institute, Cornell University, Ithaca, NY, 14853, USA.,U.S. Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, 14853, USA
| | - Jie Luo
- Sanya Nanfan Research Institute of Hainan University, Hainan Yazhou Bay Seed Laboratory, Sanya, 572025, China. .,College of Tropical Crops, Hainan University, Haikou, 570228, Hainan, China.
| | - Lirong Wang
- The Key Laboratory of Genetic Resource Evaluation and Application of Horticultural Crops (Fruit), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China. .,National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
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Du S, Hu X, Yang X, Yu W, Wang Z. Genetic diversity and population dynamic of Ziziphus jujuba var. spinosa (Bunge) Hu ex H. F. Chow in Central China. Ecol Evol 2022; 12:e9101. [PMID: 35898427 PMCID: PMC9309028 DOI: 10.1002/ece3.9101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/04/2022] [Accepted: 06/23/2022] [Indexed: 11/09/2022] Open
Abstract
Phylogeographic research concerning Central China has been rarely conducted. Population genetic and phylogeography of Ziziphus jujuba var. spinosa (also called sour jujube) were investigated to improve our understanding of plant phylogeographic patterns in Central China. Single-copy nuclear gene markers and complete chloroplast genome data were applied to 328 individuals collected from 21 natural populations of sour jujube in China. Nucleotide variation of sour jujube was relatively high (π = 0.00720, θ w = 0.00925), which resulted from the mating system and complex population dynamics. Analysis of molecular variation analysis revealed that most of the total variation was attributed to variation within populations, and a high level of genetic differentiation among populations was detected (F st = 0.197). Relatively low long-distance dispersal capability and vitality of pollen contributed to high genetic differentiation among populations. Differences in the environmental conditions and long distance among populations further restricted gene flow. Structure clustering analysis uncovered intraspecific divergence between central and marginal populations. Migrate analysis found a high level of gene flow between these two intraspecific groups. Bayesian skyline plot detected population expansion of these two intraspecific groups. Network and phylogeny analysis of chloroplast haplotypes also found intraspecific divergence, and the divergence time was estimated to occur at about 55.86 Ma. Haplotype native to the Loess Plateau was more ancient, and multiple glacial refugia of sour jujube were found to locate at the Loess Plateau, areas adjacent to the Qinling Mountains and Tianmu Mountains. Species distribution model analysis found a typical contraction-expansion model corresponding to the Quaternary climatic oscillations. In the future, the distribution of sour jujube may shift to high-latitude areas. This study provides new insights for phylogeographic research of temperate plant species distributed in Central China and sets a solid foundation for the application of the scientific management strategy of Z. jujuba var. spinosa.
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Affiliation(s)
- Shuhui Du
- College of Forestry, Shanxi Key Laboratory of Cultivation and Development on Functional Oil Trees in the Northern ChinaShanxi Agricultural University TaiguJinzhongChina
| | - Xiaoyan Hu
- College of Forestry, Shanxi Key Laboratory of Cultivation and Development on Functional Oil Trees in the Northern ChinaShanxi Agricultural University TaiguJinzhongChina
| | - Xiuyun Yang
- College of Forestry, Shanxi Key Laboratory of Cultivation and Development on Functional Oil Trees in the Northern ChinaShanxi Agricultural University TaiguJinzhongChina
| | - Wendong Yu
- College of Horticulture and Plant ProtectionYangzhou UniversityYangzhouChina
| | - Zhaoshan Wang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Silviculture of the State Forestry Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
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Gladysheva-Azgari M, Petrova K, Tsygankova S, Mitrofanova I, Smykov A, Boulygina E, Slobodova N, Rastorguev S, Sharko F. A de novo genome assembly of cultivated Prunus persica cv. ‘Sovetskiy’. PLoS One 2022; 17:e0269284. [PMID: 35714114 PMCID: PMC9205522 DOI: 10.1371/journal.pone.0269284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 05/18/2022] [Indexed: 11/19/2022] Open
Abstract
Prunus persica is one of the main stone fruit crops in Crimea and southern Russia. The P. persica genome has recently been sequenced and annotated in good quality. However, for a deeper assessment of the peach genome, it is necessary to include in the research other cultivars that are in the collection of the Nikitsky Botanical Garden. The cultivars of the Nikitsky Botanical Garden are unique and differ from Western European and American ones, as they are derived from cultivars and forms originating from Central Asian, North Caucasian, Transcaucasian and Eastern European countries. In this paper, we present the assembly of the P. persica cv. ’Sovetskiy’ genome obtained using Oxford Nanopore long reads and Illumina short reads by hybrid assembly methods. The assembled genome of P. persica cv. ’Sovetskiy’ is 206.26 MB in 226 scaffolds, with N50 24 Mb, including 8 chromosomes. It contains 27140 coding genes, 26973 (99.38%) of which are annotated in at least one functional database. More than 36.05% of the genome regions were identified as repeating elements.
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Affiliation(s)
| | | | | | - Irina Mitrofanova
- Nikita Botanical Gardens – National Scientific Centre of the Russian Academy of Sciences, Yalta, Russia
| | - Anatoliy Smykov
- Nikita Botanical Gardens – National Scientific Centre of the Russian Academy of Sciences, Yalta, Russia
| | | | | | | | - Fedor Sharko
- National Research Center "Kurchatov Institute", Moscow, Russia
- Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
- * E-mail:
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Cao K, Peng Z, Zhao X, Li Y, Liu K, Arus P, Fang W, Chen C, Wang X, Wu J, Fei Z, Wang L. Chromosome-level genome assemblies of four wild peach species provide insights into genome evolution and genetic basis of stress resistance. BMC Biol 2022; 20:139. [PMID: 35698132 PMCID: PMC9195245 DOI: 10.1186/s12915-022-01342-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 05/30/2022] [Indexed: 12/25/2022] Open
Abstract
Background Peach (Prunus persica) is an economically important stone fruit crop in Rosaceae and widely cultivated in temperate and subtropical regions, emerging as an excellent material to study the interaction between plant and environment. During its genus, there are four wild species of peach, all living in harsh environments. For example, one of the wild species, P. mira, originates from the Qinghai-Tibet Plateau (QTP) and exhibits strong cold/ultraviolet ray environmental adaptations. Although remarkable progresses in the gene discovery of fruit quality-related traits in peach using previous assembled genome were obtained, genomic basis of the response of these wild species to different geographical environments remains unclear. Results To uncover key genes regulating adaptability in different species and analyze the role of genetic variations in resistance formation, we performed de novo genome assembling of four wild relatives of peach (P. persica), P. mira, P. davidiana, P. kansuensis, and P. ferganensis and resequenced 175 peach varieties. The phylogenetic tree showed that the divergence time of P. mira and other wild relatives of peach was 11.5 million years ago, which was consistent with the drastic crustal movement of QTP. Abundant genetic variations were identified in four wild species when compared to P. persica, and the results showed that plant-pathogen interaction pathways were enriched in genes containing small insertions and deletions and copy number variations in all four wild relatives of peach. Then, the data were used to identify new genes and variations regulating resistance. For example, presence/absence variations which result from a hybridization event that occurred between P. mira and P. dulcis enhanced the resistance of their putative hybrid, P. davidiana. Using bulked segregant analysis, we located the nematode resistance locus of P. kansuensis in chromosome 2. Within the mapping region, a deletion in the promoter of one NBS-LRR gene was found to involve the resistance by regulating gene expression. Furthermore, combined with RNA-seq and selective sweeps analysis, we proposed that a deletion in the promoter of one CBF gene was essential for high-altitude adaptation of P. mira through increasing its resistance to low temperature. Conclusions In general, the reference genomes assembled in the study facilitate our understanding of resistance mechanism of perennial fruit crops, and provide valuable resources for future breeding and improvement. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01342-y.
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Affiliation(s)
- Ke Cao
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China.
| | - Zhen Peng
- Novogene Bioinformatics Institute, Beijing, People's Republic of China
| | - Xing Zhao
- Novogene Bioinformatics Institute, Beijing, People's Republic of China
| | - Yong Li
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China
| | - Kuozhan Liu
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China
| | - Pere Arus
- IRTA, Centre de Recerca en Agrigenòmica, CSIC-IRTA-UAB-UB, Campus UAB - Edifici CRAG, Cerdanyola del Vallès (Bellaterra), Barcelona, Spain
| | - Weichao Fang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China
| | - Changwen Chen
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China
| | - Xinwei Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China
| | - Jinlong Wu
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China
| | - Zhangjun Fei
- Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, 14853, USA
| | - Lirong Wang
- The Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Fruit Tree Breeding Technology), Ministry of Agriculture, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China. .,National Horticulture Germplasm Resources Center, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, People's Republic of China.
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Liu Y, Yuan G, Si H, Sun Y, Jiang Z, Liu D, Jiang C, Pan X, Yang J, Luo Z, Zhang J, Ren M, Pan Y, Sun K, Meng H, Wen L, Xiao Z, Feng Q, Yang A, Cheng L. Identification of QTLs Associated With Agronomic Traits in Tobacco via a Biparental Population and an Eight-Way MAGIC Population. FRONTIERS IN PLANT SCIENCE 2022; 13:878267. [PMID: 35734263 PMCID: PMC9207565 DOI: 10.3389/fpls.2022.878267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/21/2022] [Indexed: 06/15/2023]
Abstract
Agronomic traits such as plant height (PH), leaf number (LN), leaf length (LL), and leaf width (LW), which are closely related to yield and quality, are important in tobacco (Nicotiana tabacum L.). To identify quantitative trait loci (QTLs) associated with agronomic traits in tobacco, 209 recombinant inbred lines (RILs) and 537 multiparent advanced generation intercross (MAGIC) lines were developed. The biparental RIL and MAGIC lines were genotyped using a 430 K single-nucleotide polymorphism (SNP) chip assay, and their agronomic traits were repeatedly evaluated under different conditions. A total of 43 QTLs associated with agronomic traits were identified through a combination of linkage mapping (LM) and association mapping (AM) methods. Among these 43 QTLs, three major QTLs, namely qPH13-3, qPH17-1, and qLW20-1, were repeatedly identified by the use of various genetically diverse populations across different environments. The candidate genes for these major QTLs were subsequently predicted. Validation and utilization of the major QTL qLW20-1 for the improvement of LW in tobacco were investigated. These results could be applied to molecular marker-assisted selection (MAS) for breeding important agronomic traits in tobacco.
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Affiliation(s)
- Yutong Liu
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Guangdi Yuan
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Huan Si
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Ying Sun
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Zipeng Jiang
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Dan Liu
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Caihong Jiang
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Xuhao Pan
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Jun Yang
- Zhengzhou Tobacco Research Institute, China Tobacco Gene Research Centre, Zhengzhou, China
| | - Zhaopeng Luo
- Zhengzhou Tobacco Research Institute, China Tobacco Gene Research Centre, Zhengzhou, China
| | - Jianfeng Zhang
- Zhengzhou Tobacco Research Institute, China Tobacco Gene Research Centre, Zhengzhou, China
| | - Min Ren
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Yi Pan
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
- School of Agriculture, Yunnan University, Kunming, China
| | - Kefan Sun
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - He Meng
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Liuying Wen
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Zhiliang Xiao
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Quanfu Feng
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Aiguo Yang
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Lirui Cheng
- Key Laboratory of Tobacco Improvement and Biotechnology, Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China
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45
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Jiang Q, Xu Q, Pan J, Yao X, Cheng Z. Impacts of Chronic Habitat Fragmentation on Genetic Diversity of Natural Populations of Prunus persica in China. PLANTS (BASEL, SWITZERLAND) 2022; 11:1458. [PMID: 35684230 PMCID: PMC9183131 DOI: 10.3390/plants11111458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/18/2022] [Accepted: 05/27/2022] [Indexed: 06/15/2023]
Abstract
Wild peach is an important resource for improving existing peach varieties. However, the extant populations of wild peach show fragmented distribution due to human disturbance and geographic isolation. In this study, we used natural populations (or wild populations) of Prunus persica (Rosaceae) to assess the genetic effects of habitat fragmentation. A total of 368 individuals sampled from 16 natural populations were analyzed using 23 polymorphic simple sequence repeat (SSR) markers. Prunus persica maintained low within-population genetic variation and high level of genetic differentiation. Two genetic clusters were revealed based on three different methods (UPGMA, PCoA, and STRUCTURE). All populations showed a significant heterozygosity deficiency and most extant populations experienced recent reduction in population size. A significant isolation by distance (IBD) was observed with Mantel's test. Compared to historical gene flow, contemporary gene flow was restricted among the studied populations, suggesting a decrease in gene flow due to habitat fragmentation. Habitat fragmentation has impacted population genetic variation and genetic structure of P. persica. For breeding and conservation purpose, collecting as many individuals as possible from multiple populations to maximize genetic diversity was recommended during the process of germplasm collection. In addition, populations from central China had higher genetic diversity, suggesting these populations should be given priority for conservation and germplasm collection.
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Affiliation(s)
- Quan Jiang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Chinese Academy of Sciences, Wuhan 430074, China; (Q.J.); (J.P.)
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qiang Xu
- Shangrao Vocational and Technical College, Shangrao 334109, China;
| | - Junfeng Pan
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Chinese Academy of Sciences, Wuhan 430074, China; (Q.J.); (J.P.)
| | - Xiaohong Yao
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Chinese Academy of Sciences, Wuhan 430074, China; (Q.J.); (J.P.)
| | - Zhongping Cheng
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Chinese Academy of Sciences, Wuhan 430074, China; (Q.J.); (J.P.)
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Chen X, Huang Z, Fu D, Fang J, Zhang X, Feng X, Xie J, Wu B, Luo Y, Zhu M, Qi Y. Identification of Genetic Loci for Sugarcane Leaf Angle at Different Developmental Stages by Genome-Wide Association Study. FRONTIERS IN PLANT SCIENCE 2022; 13:841693. [PMID: 35693186 PMCID: PMC9185841 DOI: 10.3389/fpls.2022.841693] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/24/2022] [Indexed: 06/09/2023]
Abstract
Sugarcane (Saccharum spp.) is an efficient crop mainly used for sugar and bioethanol production. High yield and high sucrose of sugarcane are always the fundamental demands in sugarcane growth worldwide. Leaf angle and size of sugarcane can be attributed to planting density, which was associated with yield. In this study, we performed genome-wide association studies (GWAS) with a panel of 216 sugarcane core parents and their derived lines (natural population) to determine the genetic basis of leaf angle and key candidate genes with +2, +3, and +4 leaf at the seedling, elongation, and mature stages. A total of 288 significantly associated loci of sugarcane leaf angle at different developmental stages (eight phenotypes) were identified by GWAS with 4,027,298 high-quality SNP markers. Among them, one key locus and 11 loci were identified in all three stages and two stages, respectively. An InDel marker (SNP Ss6A_102766953) linked to narrow leaf angle was obtained. Overall, 4,089 genes were located in the confidence interval of significant loci, among which 3,892 genes were functionally annotated. Finally, 13 core parents and their derivatives tagged with SNPs were selected for marker-assisted selection (MAS). These candidate genes are mainly related to MYB transcription factors, auxin response factors, serine/threonine protein kinases, etc. They are directly or indirectly associated with leaf angle in sugarcane. This research provided a large number of novel genetic resources for the improvement of leaf angles and simultaneously to high yield and high bioethanol production.
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Affiliation(s)
- Xinglong Chen
- Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou, China
| | - Zhenghui Huang
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Danwen Fu
- Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou, China
| | - Junteng Fang
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Xiangbo Zhang
- Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou, China
| | - Xiaomin Feng
- Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou, China
| | - Jinfang Xie
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Bin Wu
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yiji Luo
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Mingfeng Zhu
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Yongwen Qi
- Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
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47
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Lian X, Zhang H, Jiang C, Gao F, Yan L, Zheng X, Cheng J, Wang W, Wang X, Ye X, Li J, Zhang L, Li Z, Tan B, Feng J. De novo chromosome-level genome of a semi-dwarf cultivar of Prunus persica identifies the aquaporin PpTIP2 as responsible for temperature-sensitive semi-dwarf trait and PpB3-1 for flower type and size. PLANT BIOTECHNOLOGY JOURNAL 2022. [PMID: 34919780 PMCID: PMC9055816 DOI: 10.1111/pbi.v20.5 10.1111/pbi.13767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Peach (Prunus persica) is one of the most important fruit crops globally, but its cultivation can be hindered by large tree size. 'Zhongyoutao 14' (CN14) is a temperature-sensitive semi-dwarf (TSSD) cultivar which might be useful as breeding stock. The genome of CN14 was sequenced and assembled de novo using single-molecule real-time sequencing and chromosome conformation capture assembly. A high-quality genome was assembled and annotated, with 228.82 Mb mapped to eight chromosomes. Eighty-six re-sequenced F1 individuals and 334 previously re-sequenced accessions were used to identify candidate genes controlling TSSD and flower type and size. An aquaporin tonoplast intrinsic protein (PpTIP2) was a strong candidate gene for control of TSSD. Sequence variations in the upstream regulatory region of PpTIP2 correlated with different transcriptional activity at different temperatures. PpB3-1, a candidate gene for flower type (SH) and flower size, contributed to petal development and promoted petal enlargement. The locus of another 12 agronomic traits was identified through genome-wide association study. Most of these loci exhibited consistent and precise association signals, except for flesh texture and flesh adhesion. A 6015-bp insertion in exon 3 and a 26-bp insertion upstream of PpMYB25 were associated with fruit hairless. Along with a 70.5-Kb gap at the F-M locus in CN14, another two new alleles were identified in peach accessions. Our findings will not only promote genomic research and agronomic breeding in peach but also provide a foundation for the peach pan-genome.
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Affiliation(s)
- Xiaodong Lian
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Haipeng Zhang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Chao Jiang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Fan Gao
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Liu Yan
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Xianbo Zheng
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Jun Cheng
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Wei Wang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Xiaobei Wang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Xia Ye
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Jidong Li
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Langlang Zhang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Zhiqian Li
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Bin Tan
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Jiancan Feng
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
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48
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Integrating Genome-wide association and whole transcriptome analysis to reveal genetic control of leaf traits in Gossypium arboreum L. Genomics 2022; 114:110331. [PMID: 35278614 DOI: 10.1016/j.ygeno.2022.110331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 02/14/2022] [Accepted: 03/06/2022] [Indexed: 01/14/2023]
Abstract
Leaves are important organs for crop photosynthesis and transpiration, and their morphological characteristics can directly reflect the growth state of plants. Accurate measurement of leaf traits and mining molecular markers are of great significance to the study of cotton growth. Here, we performed a Genome-wide association study on 7 leaf traits in 213 Asian cotton accessions. 32 significant SNPs and 44 genes were identified. A field experiment showed significant difference in leaf hair and leaf area between DPL971 and its natural mutant DPL972. We also compared the leaf transcriptome difference between DPL971 and DPL972, and found a batch of differentially expressed genes and non-coding RNAs (including lncRNAs, microRNAs, and circRNAs). After integrating the GWAS and transcriptome results, we finally selected two coding genes (Ga03G2383 and Ga05G3412) and two microRNAs (hbr-miR156, unconservative_Chr03_contig343_2364) as the candidate for leaf traits. Those findings will provide important genomic resources for cotton leaf improvement breeding.
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49
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Lian X, Zhang H, Jiang C, Gao F, Yan L, Zheng X, Cheng J, Wang W, Wang X, Ye X, Li J, Zhang L, Li Z, Tan B, Feng J. De novo chromosome-level genome of a semi-dwarf cultivar of Prunus persica identifies the aquaporin PpTIP2 as responsible for temperature-sensitive semi-dwarf trait and PpB3-1 for flower type and size. PLANT BIOTECHNOLOGY JOURNAL 2022; 20:886-902. [PMID: 34919780 PMCID: PMC9055816 DOI: 10.1111/pbi.13767] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 12/02/2021] [Accepted: 12/10/2021] [Indexed: 05/16/2023]
Abstract
Peach (Prunus persica) is one of the most important fruit crops globally, but its cultivation can be hindered by large tree size. 'Zhongyoutao 14' (CN14) is a temperature-sensitive semi-dwarf (TSSD) cultivar which might be useful as breeding stock. The genome of CN14 was sequenced and assembled de novo using single-molecule real-time sequencing and chromosome conformation capture assembly. A high-quality genome was assembled and annotated, with 228.82 Mb mapped to eight chromosomes. Eighty-six re-sequenced F1 individuals and 334 previously re-sequenced accessions were used to identify candidate genes controlling TSSD and flower type and size. An aquaporin tonoplast intrinsic protein (PpTIP2) was a strong candidate gene for control of TSSD. Sequence variations in the upstream regulatory region of PpTIP2 correlated with different transcriptional activity at different temperatures. PpB3-1, a candidate gene for flower type (SH) and flower size, contributed to petal development and promoted petal enlargement. The locus of another 12 agronomic traits was identified through genome-wide association study. Most of these loci exhibited consistent and precise association signals, except for flesh texture and flesh adhesion. A 6015-bp insertion in exon 3 and a 26-bp insertion upstream of PpMYB25 were associated with fruit hairless. Along with a 70.5-Kb gap at the F-M locus in CN14, another two new alleles were identified in peach accessions. Our findings will not only promote genomic research and agronomic breeding in peach but also provide a foundation for the peach pan-genome.
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Affiliation(s)
- Xiaodong Lian
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Haipeng Zhang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Chao Jiang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Fan Gao
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Liu Yan
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Xianbo Zheng
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Jun Cheng
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Wei Wang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Xiaobei Wang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Xia Ye
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Jidong Li
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Langlang Zhang
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Zhiqian Li
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Bin Tan
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
| | - Jiancan Feng
- College of HorticultureHenan Agricultural UniversityZhengzhouChina
- Henan Key Laboratory of Fruit and Cucurbit BiologyZhengzhouChina
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50
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Wang Q, Cao K, Cheng L, Li Y, Guo J, Yang X, Wang J, Khan IA, Zhu G, Fang W, Chen C, Wang X, Wu J, Xu Q, Wang L. Multi-omics approaches identify a key gene, PpTST1, for organic acid accumulation in peach. HORTICULTURE RESEARCH 2022; 9:uhac026. [PMID: 35184194 PMCID: PMC9171119 DOI: 10.1093/hr/uhac026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 12/25/2021] [Indexed: 06/14/2023]
Abstract
Organic acid content in fruit is an important determinant of peach organoleptic quality, which undergoes considerable variations during development and maturation. However, its molecular mechanism remains largely unclear. In this study, an integrative approach of genome-wide association studies and comparative transcriptome analysis were applied to identify candidate genes involved in organic acid accumulation in peach. A key gene PpTST1, encoding tonoplast sugar transporter, was identified and the genotype of PpTST1 with a single-base transversion (G1584T) in the third exon which leads to a single amino acid substitution (Q528H) was associated with low level of organic acid content in peach. Overexpression of PpTST1His resulted in reduced organic acid content along with increased sugar content both in peach and tomato fruits, suggesting its dual function in sugar accumulation and organic acid content reduction. Two V-type proton ATPases interact with PpTST1 in yeast two-hybridization assay. In addition, the G1584T transversion appeared and gradually accumulated during domestication and improvement, which indicated that PpTST1 was under selection. The identification and characterization of PpTST1 would facilitate the improvement of peach fruit quality.
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Affiliation(s)
- Qi Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Ke Cao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Lailiang Cheng
- Horticulture Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Yong Li
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jian Guo
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Xuanwen Yang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jiao Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Irshad Ahmad Khan
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Gengrui Zhu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Weichao Fang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Changwen Chen
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Xinwei Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jinlong Wu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Qiang Xu
- College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Lirong Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
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