Comparative selective signature analysis and high-resolution GWAS reveal a new candidate gene controlling seed weight in soybean

被引:48
|
作者
Zhang, Wei [1 ]
Xu, Wenjing [2 ]
Zhang, Hongmei [1 ]
Liu, Xiaoqing [1 ]
Cui, Xiaoyan [1 ]
Li, Songsong [1 ,2 ]
Song, Li [3 ]
Zhu, Yuelin [2 ]
Chen, Xin [1 ]
Chen, Huatao [1 ]
机构
[1] Jiangsu Acad Agr Sci, Inst Ind Crops, Nanjing 210014, Peoples R China
[2] Nanjing Agr Univ, Coll Hort, Nanjing 210095, Peoples R China
[3] Yangzhou Univ, Coinnovat Ctr Modern Prod Technol Grain Crops, Jiangsu Key Lab Crop Genom & Mol Breeding, Joint Int Res Lab Agr & Agriprod Safety, Yangzhou 225009, Jiangsu, Peoples R China
关键词
48;
D O I
10.1007/s00122-021-03774-6
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Key message We detected a QTL qHSW-16 undergone strong selection associated with seed weight and identified a novel candidate gene controlling seed weight candidate gene for this major QTL by qRT-PCT. Soybean [Glycine max (L.) Merr.] provides more than half of the world's oilseed production. To expand its germplasm resources useful for breeding increased yield and oil quality cultivars, it is necessary to resolve the diversity and evolutionary history of this crop. In this work, we resequenced 283 soybean accessions from China and obtained a large number of high-quality SNPs for investigation of the population genetics that underpin variation in seed weight and other agronomic traits. Selective signature analysis detected 78 (similar to 25.0 Mb) and 39 (similar to 22.60 Mb) novel putative selective signals that were selected during soybean domestication and improvement, respectively. Genome-wide association study (GWAS) identified five loci associated with seed weight. Among these QTLs, qHSW-16, overlapped with the improvement-selective region on chromosome 16, suggesting that this QTL may be underwent strong selection during soybean improvement. Of the 18 candidate genes in qHSW-16, only SoyZH13_16G122400 showed higher expression levels in a large seed variety compared to a small seed variety during seed development. These results identify SoyZH13_16G122400 as a novel candidate gene controlling seed weight and provide foundational insights into the molecular targets for breeding improvement of seed weight and potential seed yield in soybean.
引用
收藏
页码:1329 / 1341
页数:13
相关论文
共 35 条
  • [31] High-resolution bacterial 16S rRNA gene profile meta-analysis and biofilm status reveal common colorectal cancer consortia (vol 5, 2, 2019)
    Drewes, Julia L.
    White, James R.
    Dejea, Christine M.
    Fathi, Payam
    Iyadorai, Thevambiga
    Vadivelu, Jamuna
    Roslani, April C.
    Wick, Elizabeth C.
    Mongodin, Emmanuel F.
    Loke, Mun Fai
    Thulasi, Kumar
    Gan, Han Ming
    Goh, Khean Lee
    Chong, Hoong Yin
    Kumar, Sandip
    Wanyiri, Jane W.
    Sears, Cynthia L.
    NPJ BIOFILMS AND MICROBIOMES, 2019, 5
  • [32] Duffy blood group phenotype-genotype correlations using high-resolution melting analysis PCR and microarray reveal complex cases including a new null FY*A allele: the role for sequencing in genotyping algorithms
    Lopez, G. H.
    Morrison, J.
    Condon, J. A.
    Wilson, B.
    Martin, J. R.
    Liew, Y. -W.
    Flower, R. L.
    Hyland, C. A.
    VOX SANGUINIS, 2015, 109 (03) : 296 - 303
  • [33] Comparative Transcriptomics Analysis and Functional Study Reveal Important Role of High-Temperature Stress Response Gene GmHSFA2 During Flower Bud Development of CMS-Based F1 in Soybean
    Ding, Xianlong
    Guo, Qingling
    Li, Qiang
    Gai, Junyi
    Yang, Shouping
    FRONTIERS IN PLANT SCIENCE, 2020, 11
  • [34] Integration of high-resolution array comparative genomic hybridization analysis of chromosome 16q with expression array data refines common regions of loss at 16q23–qter and identifies underlying candidate tumor suppressor genes in prostate cancer
    J E Vivienne Watson
    Norman A Doggett
    Donna G Albertson
    Armann Andaya
    Arul Chinnaiyan
    Herman van Dekken
    David Ginzinger
    Christopher Haqq
    Karen James
    Sherwin Kamkar
    David Kowbel
    Daniel Pinkel
    Lars Schmitt
    Jeffry P Simko
    Stanislav Volik
    Vivian K Weinberg
    Pamela L Paris
    Colin Collins
    Oncogene, 2004, 23 : 3487 - 3494
  • [35] Integration of high-resolution array comparative genomic hybridization analysis of chromosome 16q with expression array data refines common regions of loss at16q23-qter and identifies underlying candidate tumor suppressor genes in prostate cancer
    Watson, JEV
    Doggett, NA
    Albertson, DG
    Andaya, A
    Chinnaiyan, A
    van Dekken, H
    Ginzinger, D
    Haqq, C
    James, K
    Kamkar, S
    Kowbel, D
    Pinkel, D
    Schmitt, L
    Simko, JP
    Volik, S
    Weinberg, VK
    Paris, PL
    Collins, C
    ONCOGENE, 2004, 23 (19) : 3487 - 3494