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Wang Z, Lei Y, Liao B. Omics-driven advances in the understanding of regulatory landscape of peanut seed development. FRONTIERS IN PLANT SCIENCE 2024; 15:1393438. [PMID: 38766472 PMCID: PMC11099219 DOI: 10.3389/fpls.2024.1393438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 04/18/2024] [Indexed: 05/22/2024]
Abstract
Peanuts (Arachis hypogaea) are an essential oilseed crop known for their unique developmental process, characterized by aerial flowering followed by subterranean fruit development. This crop is polyploid, consisting of A and B subgenomes, which complicates its genetic analysis. The advent and progression of omics technologies-encompassing genomics, transcriptomics, proteomics, epigenomics, and metabolomics-have significantly advanced our understanding of peanut biology, particularly in the context of seed development and the regulation of seed-associated traits. Following the completion of the peanut reference genome, research has utilized omics data to elucidate the quantitative trait loci (QTL) associated with seed weight, oil content, protein content, fatty acid composition, sucrose content, and seed coat color as well as the regulatory mechanisms governing seed development. This review aims to summarize the advancements in peanut seed development regulation and trait analysis based on reference genome-guided omics studies. It provides an overview of the significant progress made in understanding the molecular basis of peanut seed development, offering insights into the complex genetic and epigenetic mechanisms that influence key agronomic traits. These studies highlight the significance of omics data in profoundly elucidating the regulatory mechanisms of peanut seed development. Furthermore, they lay a foundational basis for future research on trait-related functional genes, highlighting the pivotal role of comprehensive genomic analysis in advancing our understanding of plant biology.
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Affiliation(s)
- Zhihui Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
- National Key Laboratory of Crop Genetic Improvement, National Center of Crop Molecular Breeding Technology, National Center of Oil Crop Improvement (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
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Yu X, Li Y, Cui X, Wang X, Li J, Guo R, Yan F, Zhang S, Zhao R, Song D, Si T, Zou X, Wang Y, Zhang X. Simultaneously mapping loci related to two plant architecture traits by phenotypic recombination BSA/BSR in peanut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:144. [PMID: 37249697 DOI: 10.1007/s00122-023-04385-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 05/09/2023] [Indexed: 05/31/2023]
Abstract
KEY MESSAGE We developed a new method phenotypic recombination BSA/BSR (PR-BSA/BSR), which could simultaneously identify the candidate genomic regions associated with two traits in a segregating population. Bulked segregant analysis sequencing (BSA-seq) has been widely used for identifying the genomic regions affecting a certain trait. In this study, we developed a modified BSA/bulked segregant RNA-sequencing (BSR-seq) method, which we named phenotypic recombination BSA/BSR (PR-BSA/BSR), to simultaneously identify candidate genomic regions associated with two traits in a segregating population. Lateral branch angle (LBA) and flower-branch pattern (FBP) are two important traits associated with the peanut plant architecture because they affect the planting density and light use efficiency. We generated an F6 population (with two segregating traits) derived from a cross between the inbred lines Pingdu9616 (erect and sequential; ES-type) and Florunner (spreading and alternating; SA-type). The selection of bulks with extreme phenotypes was a key step in this study. Specifically, 30 individuals with recombinant phenotypes [i.e., spreading and sequential (SS-type) and erect and alternating (EA-type)] were selected to generate two bulks. The transcriptomes of individuals were sequenced and then the loci related to LBA and FBP were simultaneously detected via a ΔSNP-index strategy, which involved the direction of positive and negative peaks in the ∆SNP-index plot. The LBA-related locus was mapped to a 6.82 Mb region (101,743,223-108,564,267 bp) on chromosome 15, whereas the FBP-related locus was mapped to a 2.16 Mb region (117,682,534-119,846,824 bp) on chromosome 12. Furthermore, the marker-based classical QTL mapping method was used to analyze the PF-F6 population, which confirmed our PR-BSA/BSR results. Therefore, the PR-BSA/BSR method produces accurate and reliable data.
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Affiliation(s)
- Xiaona Yu
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Yaoyao Li
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Xinyuan Cui
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Xianheng Wang
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Jihua Li
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Rui Guo
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Fanzhuang Yan
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Shaojing Zhang
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Ruihua Zhao
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Danlei Song
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Tong Si
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Xiaoxia Zou
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Yuefu Wang
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China
| | - Xiaojun Zhang
- Dry Farming Technology Key Laboratory of Shandong Province/College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, Shandong Province, People's Republic of China.
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Tang J, Liu H, Quan Y, Yao Y, Li K, Tang G, Du D. Fine mapping and causal gene identification of a novel QTL for early flowering by QTL-seq, Target-seq and RNA-seq in spring oilseed rape. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:80. [PMID: 36952057 DOI: 10.1007/s00122-023-04310-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
A novel quantitative trait locus for early flowering in spring oilseed rape, BnaC08cqDTF, was mapped to an 86-kb region on chromosome C08, and its causal gene, CRY2, was uncovered. Days to flowering is a very important agronomic and adaptive trait of Brassica napus oilseed rape (AACC, 2n = 38). We previously identified BnaC08cqDTF as a novel candidate quantitative trait locus (QTL) for early flowering in spring oilseed rape. Here, we present fine mapping of the locus and a study of its causal gene. Initial mapping was performed by QTL sequencing of DNA pools of BC3F2 plants with extreme flowering times derived from crosses between the spring-type cv. No. 4512 (early flowering) and cv. No. 5246 (late flowering), along with fine mapping by target sequencing of the BC3F2 and BC4F2 populations. Fine mapping narrowed down BnaC08cqDTF to an 86-kb region on chromosome C08. The region harbored fifteen genes. After comparative analyses of the DNA sequences for mutation between A and C syntenic regions and detected by RNA-seq and qRT-PCR between the two parents, we found that BnaC08G0010400ZS harbors an A/G nonsynonymous mutation in exon 3. This single nucleotide polymorphism (SNP) haplotype was also correlated with early flowering in a 256 accession panel. BnaC08G0010400ZS is a homolog of the AT1G04400 gene (CRY2) in Arabidopsis. The analyses of transgenic Arabidopsis verified that BnaC08G0010400ZS is responsible for early flowering. Our results contribute to a better understanding of the genetic control mechanism of early flowering in spring Brassica napus and will promote the breeding for early mature varieties.
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Affiliation(s)
- Jie Tang
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai Spring Rape Engineering Research Center, Qinghai Research Branch of the National Oil Crop Genetic Improvement Center, Spring Rape Scientific Observation Experimental Station of Ministry of Agriculture and Rural Areas, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China
- Crop Research Institute of Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, Jiangxi, China
| | - Haidong Liu
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai Spring Rape Engineering Research Center, Qinghai Research Branch of the National Oil Crop Genetic Improvement Center, Spring Rape Scientific Observation Experimental Station of Ministry of Agriculture and Rural Areas, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China
| | - Youjuan Quan
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai Spring Rape Engineering Research Center, Qinghai Research Branch of the National Oil Crop Genetic Improvement Center, Spring Rape Scientific Observation Experimental Station of Ministry of Agriculture and Rural Areas, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China
| | - Yanmei Yao
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai Spring Rape Engineering Research Center, Qinghai Research Branch of the National Oil Crop Genetic Improvement Center, Spring Rape Scientific Observation Experimental Station of Ministry of Agriculture and Rural Areas, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China
| | - Kaixiang Li
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai Spring Rape Engineering Research Center, Qinghai Research Branch of the National Oil Crop Genetic Improvement Center, Spring Rape Scientific Observation Experimental Station of Ministry of Agriculture and Rural Areas, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China
| | - Guoyong Tang
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai Spring Rape Engineering Research Center, Qinghai Research Branch of the National Oil Crop Genetic Improvement Center, Spring Rape Scientific Observation Experimental Station of Ministry of Agriculture and Rural Areas, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China.
| | - Dezhi Du
- Laboratory for Research and Utilization of Qinghai Tibet Plateau Germplasm Resources, Qinghai Spring Rape Engineering Research Center, Qinghai Research Branch of the National Oil Crop Genetic Improvement Center, Spring Rape Scientific Observation Experimental Station of Ministry of Agriculture and Rural Areas, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, 810016, Qinghai, China.
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Chen H, Yang X, Xu R, Chen X, Zhong H, Liu N, Huang L, Luo H, Huai D, Liu W, Chen Y, Chen J, Jiang H. Genetic mapping of AhVt1, a novel genetic locus that confers the variegated testa color in cultivated peanut ( Arachis hypogaea L.) and its utilization for marker-assisted selection. FRONTIERS IN PLANT SCIENCE 2023; 14:1145098. [PMID: 37021305 PMCID: PMC10067746 DOI: 10.3389/fpls.2023.1145098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 02/27/2023] [Indexed: 06/19/2023]
Abstract
INTRODUCTION Peanut (Arachis hypogaea L.) is an important cash crop worldwide. Compared with the ordinary peanut with pure pink testa, peanut with variegated testa color has attractive appearance and a higher market value. In addition, the variegated testa represents a distinct regulation pattern of anthocyanin accumulation in integument cells. METHODS In order to identify the genetic locus underlying variegated testa color in peanut, two populations were constructed from the crosses between Fuhua 8 (pure-pink testa) and Wucai (red on white variegated testa), Quanhonghua 1 (pure-red testa) and Wucai, respectively. Genetic analysis and bulked sergeant analysis sequencing were applied to detect and identify the genetic locus for variegated testa color. Marker-assisted selection was used to develop new variegated testa peanut lines. RESULTS As a result, all the seeds harvested from the F1 individuals of both populations showed the variegated testa type with white trace. Genetic analysis revealed that the pigmentation of colored region in red on white variegated testa was controlled by a previous reported gene AhRt1, while the formation of white region (un-pigmented region) in variegated testa was controlled by another single genetic locus. This locus, named as AhVt1 (Arachis hypogaea Variegated Testa 1), was preliminary mapped on chromosome 08 through bulked sergeant analysis sequencing. Using a secondary mapping population derived from the cross between Fuhua 8 and Wucai, AhVt1 was further mapped to a 1.89-Mb genomic interval by linkage analysis, and several potential genes associated with the uneven distribution of anthocyanin, such as MADS-box, MYB, and Chalcone synthase-like protein, were harbored in the region. Moreover, the molecular markers closely linked to the AhVt1 were developed, and the new variegated testa peanut lines were obtained with the help of marker-assisted selection. CONCLUSION Our findings will accelerate the breeding program for developing new peanut varieties with "colorful" testa colors and laid a foundation for map-based cloning of gene responsible for variegated testa.
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Affiliation(s)
- Hao Chen
- Institute of Crop Sciences, Fujian Academy of Agricultural Sciences, Fujian Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Fujian Engineering Research Center for Characteristic Upland Crops Breeding, Fujian Engineering Laboratory of Crop Molecular Breeding, Fuzhou, China
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Wuhan, China
| | - Xinlei Yang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Baoding, China
| | - Rirong Xu
- Institute of Crop Sciences, Fujian Academy of Agricultural Sciences, Fujian Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Fujian Engineering Research Center for Characteristic Upland Crops Breeding, Fujian Engineering Laboratory of Crop Molecular Breeding, Fuzhou, China
| | - Xiangyu Chen
- Institute of Crop Sciences, Fujian Academy of Agricultural Sciences, Fujian Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Fujian Engineering Research Center for Characteristic Upland Crops Breeding, Fujian Engineering Laboratory of Crop Molecular Breeding, Fuzhou, China
| | - Haifeng Zhong
- Institute of Crop Sciences, Fujian Academy of Agricultural Sciences, Fujian Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Fujian Engineering Research Center for Characteristic Upland Crops Breeding, Fujian Engineering Laboratory of Crop Molecular Breeding, Fuzhou, China
| | - Nian Liu
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Wuhan, China
| | - Li Huang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Wuhan, China
| | - Huaiyong Luo
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Wuhan, China
| | - Dongxin Huai
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Wuhan, China
| | - Wenjing Liu
- Institute of Quality Standards and Testing Technology for Agro-Products, Fujian Academy of Agricultural Sciences, Fujian Key Laboratory of Agro-products Quality and Safety, Fuzhou, China
| | - Yuhua Chen
- Institute of Crop Sciences, Fujian Academy of Agricultural Sciences, Fujian Research Station of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Fujian Engineering Research Center for Characteristic Upland Crops Breeding, Fujian Engineering Laboratory of Crop Molecular Breeding, Fuzhou, China
| | - Jianhong Chen
- R&D Center for Oil Crops, Quanzhou Institute of Agricultural Sciences, Jinjiang, China
| | - Huifang Jiang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs of People’s Republic of China, Wuhan, China
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Guo J, Qi F, Qin L, Zhang M, Sun Z, Li H, Cui M, Zhang M, Li C, Li X, Zhao Q, Luo D, Tian M, Liu H, Xu J, Miao L, Huang B, Dong W, Han S, Zhang X. Mapping of a QTL associated with sucrose content in peanut kernels using BSA-seq. Front Genet 2023; 13:1089389. [PMID: 36685909 PMCID: PMC9845247 DOI: 10.3389/fgene.2022.1089389] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 11/28/2022] [Indexed: 01/05/2023] Open
Abstract
As an important factor affecting the edible quality of peanut kernels, sucrose content is a complex quantitative trait regulated by multiple factors. In this study, an F2 segregating population and a recombinant inbred line (RIL) population, derived from a cross between the high sucrose content variety Jihuatian 1 and the low sucrose content line PI478819, were used as materials to map a quantitative trait locus (QTL) associated with sucrose content in peanut kernels. Four QTLs were initially located on chromosomes A03 and A06 based on BSA-seq technology, and multiple kompetitive allele-specific PCR markers were developed based on single-nucleotide polymorphisms (SNPs) in the intervals. The markers were genotyped in the RIL population and finely mapped to a stable QTL, qSUCA06, located on chromosome A06 within a 0.29-Mb physical genomic interval (112367085-112662675 bp), which accounted for 31.95%-41.05% of the phenotypic variance explained. SNP and insertion/deletion annotations were performed on genes in the candidate interval, and having screened out those genes with mutations in exons, candidate genes were verified by qRT-PCR. The results revealed that Arahy.Y2LWD9 may be the main gene regulating sucrose content. The QTL identified in this study will not only contribute to marker-assisted breeding for improvement of peanut sucrose content but also paves the way for identifying gene function.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Suoyi Han
- *Correspondence: Xinyou Zhang, ; Suoyi Han,
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Zhang C, Xie W, Fu H, Chen Y, Chen H, Cai T, Yang Q, Zhuang Y, Zhong X, Chen K, Gao M, Liu F, Wan Y, Pandey MK, Varshney RK, Zhuang W. Whole genome resequencing identifies candidate genes and allelic diagnostic markers for resistance to Ralstonia solanacearum infection in cultivated peanut ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2023; 13:1048168. [PMID: 36684803 PMCID: PMC9845939 DOI: 10.3389/fpls.2022.1048168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/22/2022] [Indexed: 06/17/2023]
Abstract
Bacterial wilt disease (BWD), caused by Ralstonia solanacearum is a major challenge for peanut production in China and significantly affects global peanut field productivity. It is imperative to identify genetic loci and putative genes controlling resistance to R. solanacearum (RRS). Therefore, a sequencing-based trait mapping approach termed "QTL-seq" was applied to a recombination inbred line population of 581 individuals from the cross of Yueyou 92 (resistant) and Xinhuixiaoli (susceptible). A total of 381,642 homozygous single nucleotide polymorphisms (SNPs) and 98,918 InDels were identified through whole genome resequencing of resistant and susceptible parents for RRS. Using QTL-seq analysis, a candidate genomic region comprising of 7.2 Mb (1.8-9.0 Mb) was identified on chromosome 12 which was found to be significantly associated with RRS based on combined Euclidean Distance (ED) and SNP-index methods. This candidate genomic region had 180 nonsynonymous SNPs and 14 InDels that affected 75 and 11 putative candidate genes, respectively. Finally, eight nucleotide binding site leucine rich repeat (NBS-LRR) putative resistant genes were identified as the important candidate genes with high confidence. Two diagnostic SNP markers were validated and revealed high phenotypic variation in the different resistant and susceptible RIL lines. These findings advocate the expediency of the QTL-seq approach for precise and rapid identification of candidate genomic regions, and the development of diagnostic markers that are applicable in breeding disease-resistant peanut varieties.
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Affiliation(s)
- Chong Zhang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai’an, China
| | - Wenping Xie
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Huiwen Fu
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yuting Chen
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hua Chen
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Tiecheng Cai
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qiang Yang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yuhui Zhuang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xin Zhong
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Kun Chen
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Meijia Gao
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Fengzhen Liu
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai’an, China
| | - Yongshan Wan
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai’an, China
| | - Manish K. Pandey
- Center of Excellence in Genomics and Systems Biology (CEGSB), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev K. Varshney
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- Murdoch’s Centre for Crop and Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Weijian Zhuang
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, College of Agriculture, Institute of Oil Crops Research, Research Center for Genetics and Systems Biology of Leguminous Oil Plants, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
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Qi Y, Wang L, Li W, Xie Y, Zhao W, Dang Z, Li W, Zhao L, Zhang J. Phenotypic analysis of Longya-10 × pale flax hybrid progeny and identification of candidate genes regulating prostrate/erect growth in flax plants. FRONTIERS IN PLANT SCIENCE 2022; 13:1044415. [PMID: 36561460 PMCID: PMC9763623 DOI: 10.3389/fpls.2022.1044415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/14/2022] [Indexed: 06/17/2023]
Abstract
Flax is a dual-purpose crop that is important for oil and fiber production. The growth habit is one of the crucial targets of selection during flax domestication. Wild hybridization between cultivated flax and wild flax can produce superior germplasms for flax breeding and facilitate the study of the genetic mechanism underlying agronomically important traits. In this study, we used pale flax, Linum grandiflorum, and L. perenne to pollinate Longya-10. Only pale flax interspecific hybrids were obtained, and the trait analysis of the F1 and F2 generations showed that the traits analyzed in this study exhibited disparate genetic characteristics. In the F1 generation, only one trait, i.e., the number of capsules per plant (140) showed significant heterosis, while the characteristics of other traits were closely associated with those of the parents or a decline in hybrid phenotypes. The traits of the F2 generation were widely separated, and the variation coefficient ranged from 9.96% to 146.15%. The quantitative trait locus underlying growth habit was preliminarily found to be situated on chromosome 2 through Bulked-segregant analysis sequencing. Then linkage mapping analysis was performed to fine-map GH2.1 to a 23.5-kb interval containing 4 genes. Among them, L.us.o.m.scaffold22.109 and L.us.o.m.scaffold22.112 contained nonsynonymous SNPs with Δindex=1. Combined with the qRT-PCR results, the two genes might be possible candidate genes for GH2.1. This study will contribute to the development of important germplasms for flax breeding, which would facilitate the elucidation of the genetic mechanisms regulating the growth habit and development of an ideal architecture for the flax plant.
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8
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Liu T, Liu X, He J, Dong K, Pan W, Zhang L, Ren R, Zhang Z, Yang T. Identification and fine-mapping of a major QTL ( PH1.1) conferring plant height in broomcorn millet ( Panicum miliaceum). FRONTIERS IN PLANT SCIENCE 2022; 13:1010057. [PMID: 36304390 PMCID: PMC9593001 DOI: 10.3389/fpls.2022.1010057] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
The plant height of broomcorn millet (Panicum miliaceum) is a significant agronomic trait that is closely related to its plant architecture, lodging resistance, and final yield. However, the genes underlying the regulation of plant height in broomcorn millet are rarely reported. Here, an F2 population derived from a cross between a normal variety, "Longmi12," and a dwarf mutant, "Zhang778," was constructed. Genetic analysis for the F2 and F2:3 populations revealed that the plant height was controlled by more than one locus. A major quantitative trait locus (QTL), PH1.1, was preliminarily identified in chromosome 1 using bulked segregant analysis sequencing (BSA-seq). PH1.1 was fine-mapped to a 109-kb genomic region with 15 genes using a high-density map. Among them, longmi011482 and longmi011489, containing nonsynonymous variations in their coding regions, and longmi011496, covering multiple insertion/deletion sequences in the promoter regions, may be possible candidate genes for PH1.1. Three diagnostic markers closely linked to PH1.1 were developed to validate the PH1.1 region in broomcorn millet germplasm. These findings laid the foundation for further understanding of the molecular mechanism of plant height regulation in broomcorn millet and are also beneficial to the breeding program for developing new varieties with optimal height.
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Affiliation(s)
- Tianpeng Liu
- Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China
- College of Agronomy and Biotechnology, Southwest University, Chongqing, China
| | - Xueying Liu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, China
| | - Jihong He
- Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China
| | - Kongjun Dong
- Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China
| | - Wanxiang Pan
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Lei Zhang
- Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China
| | - Ruiyu Ren
- Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China
| | - Zhengsheng Zhang
- College of Agronomy and Biotechnology, Southwest University, Chongqing, China
| | - Tianyu Yang
- Crop Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China
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9
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Zhang K, Ma J, Gangurde SS, Hou L, Xia H, Li N, Pan J, Tian R, Huang H, Wang X, Zhang Y, Zhao C. Targeted metabolome analysis reveals accumulation of metabolites in testa of four peanut germplasms. FRONTIERS IN PLANT SCIENCE 2022; 13:992124. [PMID: 36186006 PMCID: PMC9523574 DOI: 10.3389/fpls.2022.992124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/29/2022] [Indexed: 06/16/2023]
Abstract
Cultivated peanut (Arachis hypogaea L.) is an important source of edible oil and protein. Peanut testa (seed coat) provides protection for seeds and serves as a carrier for diversity metabolites necessary for human health. There is significant diversity available for testa color in peanut germplasms. However, the kinds and type of metabolites in peanut testa has not been comprehensively investigated. In this study, we performed metabolite profiling using UPLC-MS/MS for four peanut germplasm lines with different testa colors, including pink, purple, red, and white. A total of 85 metabolites were identified in four peanuts. Comparative metabolomics analysis identified 78 differentially accumulated metabolites (DAMs). Some metabolites showed significant correlation with other metabolites. For instance, proanthocyanidins were positively correlated with cyanidin 3-O-rutinoside and malvin, and negatively correlated with pelargonidin-3-glucoside. We observed that the total proanthocyanidins are most abundant in pink peanut variety WH10. The red testa accumulated more isoflavones, flavonols and anthocyanidins compared with that in pink testa. These results provided valuable information about differential accumulation of metabolites in testa with different color, which are helpful for further investigation of the molecular mechanism underlying biosynthesis and accumulation of these metabolites in peanut.
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Affiliation(s)
- Kun Zhang
- College of Tropical Crops, Hainan University, Haikou, China
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Agricultural Science and Technology, Shandong Agriculture and Engineering University, Jinan, China
| | - Jing Ma
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Sunil S. Gangurde
- Crop Protection and Management Research Unit, USDA-ARS, Tifton, GA, United States
- Department of Plant Pathology, University of Georgia, Tifton, GA, United States
| | - Lei Hou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Han Xia
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Nana Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Jiaowen Pan
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Ruizheng Tian
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Huailing Huang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Xingjun Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Yindong Zhang
- College of Tropical Crops, Hainan University, Haikou, China
- Hainan Academy of Agricultural Sciences, Haikou, China
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
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Zhang K, Yuan M, Xia H, He L, Ma J, Wang M, Zhao H, Hou L, Zhao S, Li P, Tian R, Pan J, Li G, Thudi M, Ma C, Wang X, Zhao C. BSA‑seq and genetic mapping reveals AhRt2 as a candidate gene responsible for red testa of peanut. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1529-1540. [PMID: 35166897 DOI: 10.1007/s00122-022-04051-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
Abstract
The candidate recessive gene AhRt2 responsible for red testa of peanut was identified through combined BSA-seq and linkage mapping approaches. The testa color of peanuts (Arachis hypogaea L.) is an important trait, and those with red testa are particularly popular owing to the high-anthocyanin content. However, the identification of genes underlying the regulation of the red testa trait in peanut are rarely reported. In order to fine map red testa gene, two F2:4 populations were constructed through the cross of YZ9102 (pink testa) with ZH12 (red testa) and ZH2 (red testa). Genetic analysis indicated that red testa was controlled by a single recessive gene named as AhRt2 (Red testa gene 2). Using BSA-seq approach, AhRt2 was preliminary identified on chromosome 12, which was further mapped to a 530-kb interval using 220 recombinant lines through linkage mapping. Furthermore, functional annotation, expression profiling, and the analyses of sequence variation confirmed that the anthocyanin reductase namely (Arahy.IK60LM) was the most likely candidate gene for AhRt2. It was found that a SNP in the third exon of AhRt2 altered the encoding amino acids, and was associated with red testa in peanut. In addition, a closely linked molecular marker linked with red testa trait in peanut was also developed for future studies. Our results provide valuable insight into the molecular mechanism underlying peanut testa color and present significant diagnostic marker resources for marker-assisted selected breeding in peanut.
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Affiliation(s)
- Kun Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Agricultural Science and Technology, Shandong Agriculture and Engineering University, Jinan, 250100, People's Republic of China
- College of Tropical Crops, Hainan University, Haikou, 572208, China
| | - Mei Yuan
- Shandong Peanut Research Institute, Qingdao, 266199, Shandong, People's Republic of China
| | - Han Xia
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Liangqiong He
- Cash Crop Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Jing Ma
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Mingxiao Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Huiling Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Lei Hou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Shuzhen Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Pengcheng Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Ruizheng Tian
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Jiaowen Pan
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Guanghui Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
| | - Mahendar Thudi
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China
- Dr. Rajendra Prasad Central Agricultural University, Pusa, Samsthipur, Bihar, 848125, India
| | - Changle Ma
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China
| | - Xingjun Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China.
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China.
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Shandong Academy of Agricultural Sciences, Jinan, 250100, People's Republic of China.
- College of Life Sciences, Shandong Normal University, Jinan, 250014, People's Republic of China.
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11
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Zhao H, Tian R, Xia H, Li C, Li G, Li A, Zhang X, Zhou X, Ma J, Huang H, Zhang K, Thudi M, Ma C, Wang X, Zhao C. High-Density Genetic Variation Map Reveals Key Candidate Loci and Genes Associated With Important Agronomic Traits in Peanut. Front Genet 2022; 13:845602. [PMID: 35401655 PMCID: PMC8990815 DOI: 10.3389/fgene.2022.845602] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Peanut is one of the most important cash crops with high quality oil, high protein content, and many other nutritional elements, and grown globally. Cultivated peanut (Arachis hypogaea L.) is allotetraploid with a narrow genetic base, and its genetics and molecular mechanisms controlling the agronomic traits are poorly understood. Here, we report a comprehensive genome variation map based on the genotyping of a panel of 178 peanut cultivars using Axiom_Arachis2 SNP array, including 163 representative varieties of different provinces in China, and 15 cultivars from 9 other countries. According to principal component analysis (PCA) and phylogenetic analysis, the peanut varieties were divided into 7 groups, notable genetic divergences between the different areas were shaped by environment and domestication. Using genome-wide association study (GWAS) analysis, we identified several marker-trait associations (MTAs) and candidate genes potentially involved in regulating several agronomic traits of peanut, including one MTA related with hundred seed weight, one MTA related with total number of branches, and 14 MTAs related with pod shape. This study outlines the genetic basis of these peanut cultivars and provides 13,125 polymorphic SNP markers for further distinguishing and utility of these elite cultivars. In addition, the candidate loci and genes provide valuable information for further fine mapping of QTLs and improving the quality and yield of peanut using a genomic-assisted breeding method.
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Affiliation(s)
- Huiling Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Ruizheng Tian
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Han Xia
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Changsheng Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Guanghui Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Aiqin Li
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Xianying Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
| | - Ximeng Zhou
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Jing Ma
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Huailing Huang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Kun Zhang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Agricultural Science and Technology, Shandong Agriculture and Engineering University, Jinan, China
| | - Mahendar Thudi
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- Rajendra Prasad Central Agricultural University, Samsthipur, India
| | - Changle Ma
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Xingjun Wang
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
- *Correspondence: Xingjun Wang, ; Chuanzhi Zhao,
| | - Chuanzhi Zhao
- Institute of Crop Germplasm Resources (Institute of Biotechnology), Shandong Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
- *Correspondence: Xingjun Wang, ; Chuanzhi Zhao,
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Li J, Ma Y, Hu M, Zhao Y, Liu B, Wang C, Zhang M, Zhang L, Yang X, Mu G. Multi-Omics and miRNA Interaction Joint Analysis Highlight New Insights Into Anthocyanin Biosynthesis in Peanuts ( Arachis hypogaea L.). FRONTIERS IN PLANT SCIENCE 2022; 13:818345. [PMID: 35251087 PMCID: PMC8888885 DOI: 10.3389/fpls.2022.818345] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/24/2022] [Indexed: 06/01/2023]
Abstract
Peanut (Arachis hypogaea L.) is one of the most important economic and oil crops in the world. At present, peanut varieties with rich anthocyanin in testa are rare in the market, but the selection and breeding of varieties with the related traits has always attracted the attention of breeders. In this study, two peanut varieties with the pink and purple testa, G110 (G) and Z18-40 (Z) were used to conduct interaction joint analysis of multi-omics and miRNA-target gene. The anthocyanin content of Z18-40 was 7.49-8.62-folds higher than G110 on 30 DAF (days after flowering) and 45 DAF via Ultraviolet-visible Spectrophotometer (UV-5800, Shanghai, China). And then, a total of 14 candidate genes related with the anthocyanin biosynthesis were identified for correlation in different comparison groups (R 2 ≥ 0.80), among of a novel gene Ah21440 related with hydroxycinnamoyl transferase (HCT) biosynthesis was identified. In addition, Cyanidin 3-O-glucoside (Kuromanin, pmb0550) was the only common differentially accumulated metabolite (DAM) identified using multi-omics joint analysis in G1_vs_G2, Z1_vs_Z2, G1_vs_Z1, and G2_vs_Z2, respectively. Correlation analysis of miRNA-target genes and DEGs in the transcriptome shows that, AhmiR2950, AhmiR398, AhmiR50, and AhmiR51 regulated to HCT and chalcone biosynthesis related candidate genes (Ah21440, AhCHS, AhCHI). Lastly, all of 14 candidate genes and 4 differentially expressed miRNAs were validated using quantitative real-time PCR (qRT-PCR), which trends were consistent with that of the former transcriptome data. The results provide important reference for in-depth research on the anthocyanin metabolism mechanism in peanut testa.
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