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Xin H, Zhang L, Wang H, Zhu X. Dynamic transcriptome analysis provides molecular insights into underground floral differentiation in Adonis Amurensis Regel & Radde. BMC Genom Data 2024; 25:33. [PMID: 38515034 PMCID: PMC10956236 DOI: 10.1186/s12863-024-01220-2] [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: 10/14/2023] [Accepted: 03/13/2024] [Indexed: 03/23/2024] Open
Abstract
Understanding flower developmental processes is a prerequisite for improving flowering 'plants' production. Adonis amurensis is a fascinating spring ephemeral plant that develops its flower organs underground. Nevertheless, knowledge of the molecular mechanisms driving this particular process is scarce. Herein, we examined transcriptional changes during underground flower differentiation in A. amurensis and unveiled key differently regulated genes and pathways. High-throughput RNA sequencing of meristems at different flower developmental stages, including flower primordium (FP), sepal stage (SE), perianth primordium (PE), stamen stage (ST), and pistil stage (PI), identified 303,234 unigenes that showed 44.79% similarity with sequences in Aquilegia coerulea. Correlations, principal component, and differentially expressed genes (DEGs) analyses revealed that few molecular changes occurred during the transition from PE to ST. Many DEGs exhibited stage-specific regulations. Transcription factor (TF) and phytohormone family genes are critical regulators of the floral differentiation process in A. amurensis. The most differentially regulated TFs were MADS, FAR1, MYBs, AP2/ERF, B3, C2H2, and LOBs. We filtered out 186 candidate genes for future functional studies, including 18 flowering/circadian-related, 32 phytohormone-related, and TF family genes. Our findings deepen our understanding of the underground flower differentiation process and offer critical resources to dissect its regulatory network in A. amurensis. These findings establish a foundational platform for researchers dedicated to exploring the unique phenotypic characteristics of this specific flowering modality and delving into the intricate molecular mechanisms underpinning its regulation and expression.
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Affiliation(s)
- Hui Xin
- School of Landscape Architecture, Changchun University, 6543 Weixing Road, Changchun, China
| | - Lifan Zhang
- College of Life Sciences, Tonghua Normal University, 950, Yucai Road, Tonghua, China
| | - Hongtao Wang
- College of Life Sciences, Tonghua Normal University, 950, Yucai Road, Tonghua, China
| | - Xingzun Zhu
- School of Landscape Architecture, Changchun University, 6543 Weixing Road, Changchun, China.
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Su J, Zeng J, Wang S, Zhang X, Zhao L, Wen S, Zhang F, Jiang J, Chen F. Multi-locus genome-wide association studies reveal the dynamic genetic architecture of flowering time in chrysanthemum. PLANT CELL REPORTS 2024; 43:84. [PMID: 38448703 DOI: 10.1007/s00299-024-03172-4] [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: 12/22/2023] [Accepted: 02/07/2024] [Indexed: 03/08/2024]
Abstract
KEY MESSAGE The dynamic genetic architecture of flowering time in chrysanthemum was elucidated by GWAS. Thirty-six known genes and 14 candidate genes were identified around the stable QTNs and QEIs, among which ERF-1 was highlighted. Flowering time (FT) adaptation is one of the major breeding goals in chrysanthemum, a multipurpose ornamental plant. In order to reveal the dynamic genetic architecture of FT in chrysanthemum, phenotype investigation of ten FT-related traits was conducted on 169 entries in 2 environments. The broad-sense heritability of five non-conditional FT traits, i.e., budding (FBD), visible coloring (VC), early opening (EO), full-bloom (OF) and decay period (DP), ranged from 56.93 to 84.26%, which were higher than that of the five derived conditional FT traits (38.51-75.13%). The phenotypic variation coefficients of OF_EO and DP_OF were relatively large ranging from 30.59 to 36.17%. Based on 375,865 SNPs, the compressed variance component mixed linear model 3VmrMLM was applied for a multi-locus genome-wide association study (GWAS). As a result, 313 quantitative trait nucleotides (QTNs) were identified for the non-conditional FT traits in single-environment analysis, while 119 QTNs and 67 QTN-by-environment interactions (QEIs) were identified in multi-environment analysis. As for the conditional traits, 343 QTNs were detected in single-environment analysis, and 119 QTNs and 83 QEIs were identified in multi- environment analysis. Among the genes around stable QTNs and QEIs, 36 were orthologs of known FT genes in Arabidopsis and other plants; 14 candidates were mined by combining the transcriptomics data and functional annotation, including ERF-1, ACA10, and FOP1. Furthermore, the haplotype analysis of ERF-1 revealed six elite accessions with extreme FBD. Our findings contribute to the understanding of dynamic genetic architecture of FT and provide valuable resources for future chrysanthemum molecular breeding programs.
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Affiliation(s)
- Jiangshuo Su
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Junwei Zeng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Siyue Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Xuefeng Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Limin Zhao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Shiyun Wen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
| | - Fei Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, China
| | - Jiafu Jiang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, China
| | - Fadi Chen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No.1, Nanjing, 210095, Jiangsu Province, China.
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, China.
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Ding T, Cai L, He Y, Li Y, Tian E, Zhou Q, Zhou X, Wang X, Yu K, Shen X. BnPLP1 Positively Regulates Flowering Time, Plant Height, and Main Inflorescence Length in Brassica napus. Genes (Basel) 2023; 14:2206. [PMID: 38137028 PMCID: PMC10743044 DOI: 10.3390/genes14122206] [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: 11/21/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Protein prenylation mediated by the Arabidopsis thaliana PLURIPETALA (AtPLP) gene plays a crucial role in plant growth, development, and environmental response by adding a 15-carbon farnesyl group or one to two 20-carbon geranylgeranyl groups onto one to two cysteine residues at the C-terminus of the target protein. However, the homologous genes and their functions of AtPLP in rapeseed are unclear. In this study, bioinformatics analysis and gene cloning demonstrated the existence of two homologous genes of AtPLP in the Brassica napus L. genome, namely, BnPLP1 and BnPLP2. Evolutionary analysis revealed that BnPLP1 originated from the B. rapa L. genome, while BnPLP2 originated from the B. oleracea L. genome. Genetic transformation analysis revealed that the overexpression of BnPLP1 in Arabidopsis plants exhibited earlier flowering initiation, a prolonged flowering period, increased plant height, and longer main inflorescence length compared to the wild type. Contrarily, the downregulation of BnPLP1 expression in B. napus plants led to delayed flowering initiation, shortened flowering period, decreased plant height, and reduced main inflorescence length compared to the wild type. These findings indicate that the BnPLP1 gene positively regulates flowering time, plant height, and main inflorescence length. This provides a new gene for the genetic improvement of flowering time and plant architecture in rapeseed.
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Affiliation(s)
- Ting Ding
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
| | - Lei Cai
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
- Center for Research and Development of Fine Chemical of Guizhou University, Guiyang 550025, China
| | - Yuqi He
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
| | - Yuanhong Li
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
| | - Entang Tian
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
| | - Qianhui Zhou
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
| | - Xufan Zhou
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
| | - Xiaodong Wang
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China;
| | - Kunjiang Yu
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
- Center for Research and Development of Fine Chemical of Guizhou University, Guiyang 550025, China
| | - Xinjie Shen
- College of Agriculture, Guizhou University, Guiyang 550025, China; (T.D.); (L.C.); (Y.H.); (Y.L.); (E.T.); (Q.Z.); (X.Z.)
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Su J, Lu Z, Zeng J, Zhang X, Yang X, Wang S, Zhang F, Jiang J, Chen F. Multi-locus genome-wide association study and genomic prediction for flowering time in chrysanthemum. PLANTA 2023; 259:13. [PMID: 38063918 DOI: 10.1007/s00425-023-04297-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/15/2023] [Indexed: 12/18/2023]
Abstract
MAIN CONCLUSION Multi-locus GWAS detected several known and candidate genes responsible for flowering time in chrysanthemum. The associations could greatly increase the predictive ability of genome selection that accelerates the possible application of GS in chrysanthemum breeding. Timely flowering is critical for successful reproduction and determines the economic value for ornamental plants. To investigate the genetic architecture of flowering time in chrysanthemum, a multi-locus genome-wide association study (GWAS) was performed using a collection of 200 accessions and 330,710 single-nucleotide polymorphisms (SNPs) via 3VmrMLM method. Five flowering time traits including budding (FBD), visible colouring (VC), early opening (EO), full-bloom (OF) and senescing (SF) stages, plus five derived conditional traits were recorded in two environments. Extensive phenotypic variations were observed for these flowering time traits with coefficients of variation ranging from 6.42 to 38.27%, and their broad-sense heritability ranged from 71.47 to 96.78%. GWAS revealed 88 stable quantitative trait nucleotides (QTNs) and 93 QTN-by-environment interactions (QEIs) associated with flowering time traits, accounting for 0.50-8.01% and 0.30-10.42% of the phenotypic variation, respectively. Amongst the genes around these stable QTNs and QEIs, 21 and 10 were homologous to known flowering genes in Arabidopsis; 20 and 11 candidate genes were mined by combining the functional annotation and transcriptomics data, respectively, such as MYB55, FRIGIDA-like, WRKY75 and ANT. Furthermore, genomic selection (GS) was assessed using three models and seven unique marker datasets. We found the prediction accuracy (PA) using significant SNPs identified by GWAS under SVM model exhibited the best performance with PA ranging from 0.90 to 0.95. Our findings provide new insights into the dynamic genetic architecture of flowering time and the identified significant SNPs and candidate genes will accelerate the future molecular improvement of chrysanthemum.
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Affiliation(s)
- Jiangshuo Su
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Zhaowen Lu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Junwei Zeng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Xuefeng Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Xiuwei Yang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Siyue Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
| | - Fei Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
- Zhongshan Biological Breeding Laboratory, No. 50 Zhongling Street, Nanjing, 210014, China
| | - Jiafu Jiang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China
- Zhongshan Biological Breeding Laboratory, No. 50 Zhongling Street, Nanjing, 210014, China
| | - Fadi Chen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China.
- Zhongshan Biological Breeding Laboratory, No. 50 Zhongling Street, Nanjing, 210014, China.
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Yuan P, Liu H, Wang X, Hammond JP, Shi L. Genome-wide association study reveals candidate genes controlling root system architecture under low phosphorus supply at seedling stage in Brassica napus. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:63. [PMID: 37521313 PMCID: PMC10382450 DOI: 10.1007/s11032-023-01411-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 07/18/2023] [Indexed: 08/01/2023]
Abstract
Optimal root system architecture (RSA) is essential for vigorous growth and yield in crops. Plants have evolved adaptive mechanisms in response to low phosphorus (LP) stress, and one of those is changes in RSA. Here, more than five million single-nucleotide polymorphisms (SNPs) obtained from whole-genome re-sequencing data (WGR) of an association panel of 370 oilseed rape (Brassica napus L.) were used to conduct a genome-wide association study (GWAS) of RSA traits of the panel at LP in "pouch and wick" system. Fifty-two SNPs were forcefully associated with lateral root length (LRL), total root length (TRL), lateral root density (LRD), lateral root number (LRN), mean lateral root length (MLRL), and root dry weight (RDW) at LP. There were significant correlations between phenotypic variation and the number of favorable alleles of the associated loci on chromosomes A06 (chrA06_20030601), C03 (chrC03_3535483), and C07 (chrC07_42348561), respectively. Three candidate genes (BnaA06g29270D, BnaC03g07130D, and BnaC07g43230D) were detected by combining transcriptome, candidate gene association analysis, and haplotype analysis. Cultivar carrying "CCGC" at BnaA06g29270DHap1, "CAAT" at BnaC03g07130DHap1, and "ATC" at BnaC07g43230DHap1 had greater LRL, LRN, and RDW than lines carrying other haplotypes at LP supply. The RSA of a cultivar harboring the three favorable haplotypes was further confirmed by solution culture experiments. These findings define exquisite insights into genetic architectures underlying B. napus RSA at LP and provide valuable gene resources for root breeding. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01411-2.
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Affiliation(s)
- Pan Yuan
- National Key Lab of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070 China
- Key Lab of Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs/Microelement Research Centre, Huazhong Agricultural University, Wuhan, 430070 China
| | - Haijiang Liu
- National Key Lab of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070 China
- Key Lab of Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs/Microelement Research Centre, Huazhong Agricultural University, Wuhan, 430070 China
| | - Xiaohua Wang
- College of Agriculture and Forestry Science, Linyi University, Linyi, 276000 China
| | - John P. Hammond
- School of Agriculture, Policy and Development, University of Reading, Reading, RG6 6AR UK
| | - Lei Shi
- National Key Lab of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070 China
- Key Lab of Cultivated Land Conservation, Ministry of Agriculture and Rural Affairs/Microelement Research Centre, Huazhong Agricultural University, Wuhan, 430070 China
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Chen Y, Niu S, Deng X, Song Q, He L, Bai D, He Y. Genome-wide association study of leaf-related traits in tea plant in Guizhou based on genotyping-by-sequencing. BMC PLANT BIOLOGY 2023; 23:196. [PMID: 37046207 PMCID: PMC10091845 DOI: 10.1186/s12870-023-04192-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 03/24/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Studying the genetic characteristics of tea plant (Camellia spp.) leaf traits is essential for improving yield and quality through breeding and selection. Guizhou Plateau, an important part of the original center of tea plants, has rich genetic resources. However, few studies have explored the associations between tea plant leaf traits and single nucleotide polymorphism (SNP) markers in Guizhou. RESULTS In this study, we used the genotyping-by-sequencing (GBS) method to identify 100,829 SNP markers from 338 accessions of tea germplasm in Guizhou Plateau, a region with rich genetic resources. We assessed population structure based on high-quality SNPs, constructed phylogenetic relationships, and performed genome-wide association studies (GWASs). Four inferred pure groups (G-I, G-II, G-III, and G-IV) and one inferred admixture group (G-V), were identified by a population structure analysis, and verified by principal component analyses and phylogenetic analyses. Through GWAS, we identified six candidate genes associated with four leaf traits, including mature leaf size, texture, color and shape. Specifically, two candidate genes, located on chromosomes 1 and 9, were significantly associated with mature leaf size, while two genes, located on chromosomes 8 and 11, were significantly associated with mature leaf texture. Additionally, two candidate genes, located on chromosomes 1 and 2 were identified as being associated with mature leaf color and mature leaf shape, respectively. We verified the expression level of two candidate genes was verified using reverse transcription quantitative polymerase chain reaction (RT-qPCR) and designed a derived cleaved amplified polymorphism (dCAPS) marker that co-segregated with mature leaf size, which could be used for marker-assisted selection (MAS) breeding in Camellia sinensis. CONCLUSIONS In the present study, by using GWAS approaches with the 338 tea accessions population in Guizhou, we revealed a list of SNPs markers and candidate genes that were significantly associated with four leaf traits. This work provides theoretical and practical basis for the genetic breeding of related traits in tea plant leaves.
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Affiliation(s)
- Yanjun Chen
- College of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Suzhen Niu
- College of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
- Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region, Ministry of Education, Institute of Agro-Bioengineering, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Xinyue Deng
- School of Architecture, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Qinfei Song
- College of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Limin He
- College of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Dingchen Bai
- College of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
| | - Yingqin He
- College of Tea Science / Tea Engineering Technology Research Center, Guizhou University, Guiyang, 550025 Guizhou Province People’s Republic of China
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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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Chen L, Lei W, He W, Wang Y, Tian J, Gong J, Hao B, Cheng X, Shu Y, Fan Z. Mapping of Two Major QTLs Controlling Flowering Time in Brassica napus Using a High-Density Genetic Map. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11192635. [PMID: 36235500 PMCID: PMC9571212 DOI: 10.3390/plants11192635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/01/2022] [Accepted: 10/05/2022] [Indexed: 05/31/2023]
Abstract
Research on the flowering habit of rapeseed is important for the selection of varieties adapted to specific ecological environments. Here, quantitative trait loci (QTL) for the days-to-flowering trait were identified using a doubled haploid population of 178 lines derived from a cross between the winter type SGDH284 and the semi-winter type 158A. A linkage map encompassing 3268.01 cM was constructed using 2777 bin markers obtained from next-generation sequencing. The preliminary mapping results revealed 56 QTLs for the days to flowering in the six replicates in the three environments. Twelve consensus QTLs were identified by a QTL meta-analysis, two of which (cqDTF-C02 and cqDTF-C06) were designated as major QTLs. Based on the micro-collinearity of the target regions between B. napus and Arabidopsis, four genes possibly related to flowering time were identified in the cqDTF-C02 interval, and only one gene possibly related to flowering time was identified in the cqDTF-C06 interval. A tightly linked insertion-deletion marker for the cqFT-C02 locus was developed. These findings will aid the breeding of early maturing B. napus varieties.
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Affiliation(s)
- Lei Chen
- College of Agriculture, Anhui Science and Technology University, Fengyang 233100, China
| | - Weixia Lei
- Crop Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Wangfei He
- College of Agriculture, Anhui Science and Technology University, Fengyang 233100, China
| | - Yifan Wang
- College of Agriculture, Anhui Science and Technology University, Fengyang 233100, China
| | - Jie Tian
- College of Agriculture, Anhui Science and Technology University, Fengyang 233100, China
| | - Jihui Gong
- College of Agriculture, Anhui Science and Technology University, Fengyang 233100, China
| | - Bing Hao
- Bengbu Ludu Crop Residue Biotechnology Co., Ltd., Bengbu 233000, China
| | - Xinxin Cheng
- College of Agriculture, Anhui Science and Technology University, Fengyang 233100, China
| | - Yingjie Shu
- College of Agriculture, Anhui Science and Technology University, Fengyang 233100, China
| | - Zhixiong Fan
- Crop Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China
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Xu W, Bao W, Liu H, Chen C, Bai H, Huang M, Zhu G, Zhao H, Gou N, Chen Y, Wang L, Wuyun TN. Insights Into the Molecular Mechanisms of Late Flowering in Prunus sibirica by Whole-Genome and Transcriptome Analyses. FRONTIERS IN PLANT SCIENCE 2022; 12:802827. [PMID: 35145534 PMCID: PMC8821173 DOI: 10.3389/fpls.2021.802827] [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: 10/27/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
Freezing during the flowering of Prunus sibirica is detrimental to fruit production. The late flowering (LF) type, which is delayed by 7-15 days compared with the normal flowering (NF) type, avoids damages at low temperature, but the molecular mechanism of LF remains unclear. Therefore, this study was conducted to comprehensively characterize floral bud differentiation. A histological analysis showed that initial floral bud differentiation was delayed in the LF type compared to the NF type. Genome-wide associated studies (GWAS) showed that a candidate gene (PaF106G0600023738.01) was significantly associated with LF type. It was identified as trehalose-6-phosphate phosphatase (PsTPPF), which is involved in trehalose-6-phosphate (Tre6P) signaling pathway and acts on floral transition. A whole-transcriptome RNA sequencing analysis was conducted, and a total of 6,110 differential expression (DE) mRNAs, 1,351 DE lncRNAs, and 148 DE miRNAs were identified. In addition, 24 DE mRNAs related with floral transition were predicted, and these involved the following: three interactions between DE lncRNAs and DE mRNAs of photoperiod pathway with two mRNAs (COP1, PaF106G0400018289.01 and CO3, MXLOC_025744) and three lncRNAs (CCLR, LTCONS_00031803, COCLR1, LTCONS_00046726, and COCLR2, LTCONS_00046731); one interaction between DE miRNAs and DE mRNAs with one mRNA, encoding trehalose-6-phosphate synthase (PsTPS1, PaF106G0100001132.01), and one miRNA (miRNA167h). Combined with the expression profiles and Tre6P levels, functions of PsTPPF and PsTPS1 in Tre6P regulation were considered to be associated with flowering time. A new network of ceRNAs correlated with LF was constructed, and it consisted of one mRNA (PsTPS1), one lncRNA (TCLR, LTCONS_00034157), and one miRNA (miR167h). This study provided insight into the molecular regulatory mechanism of LF in Prunus sibirica.
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Affiliation(s)
- Wanyu Xu
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Wenquan Bao
- College of Forestry, Inner Mongolia Agricultural University, Hohhot, China
| | - Huimin Liu
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Chen Chen
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Haikun Bai
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Mengzhen Huang
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Gaopu Zhu
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Han Zhao
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Ningning Gou
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Yixiao Chen
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Lin Wang
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
| | - Ta-Na Wuyun
- State Key Laboratory of Tree Genetics and Breeding, Non-timber Forest Research and Development Center, Chinese Academy of Forestry, Zhengzhou, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou, China
- Key Laboratory of Non-timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou, China
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