Genetic dissection of hexanol content in soybean seed through genome-wide association analysis

被引:0
|
作者
XIA Ning [1 ,2 ]
YAN Wen-bing [1 ]
WANG Xiao-qi [1 ]
SHAO Yu-peng [1 ]
YANG Ming-ming [1 ]
WANG Zhi-kun [1 ]
ZHAN Yu-hang [1 ]
TENG Wei-li [1 ]
HAN Ying-peng [1 ]
SHI Yan-guo [2 ]
机构
[1] Key Laboratory of Soybean Biology,Ministry of Education/Key Laboratory of Soybean Biology and Breeding/Genetics,Ministry of Agriculture and Rural Affairs/Agricultural College,Northeast Agricultural University
[2] School of Food Engineering,Harbin University of Commerce
基金
中国国家自然科学基金;
关键词
genome-wide association mapping; soybean; hexanol concentration; candidate genes;
D O I
暂无
中图分类号
S565.1 [大豆];
学科分类号
摘要
Hexanol is a major compound contributing to the off-flavors(the bean-like odor) of soybean derived soymilk. The most effective way to reduce the off-flavors of soymilk is the screening and utilization of soybean cultivars with improved hexanol content. However, no genome-wide genetic analysis for this particular trait has been conducted to date. The objective of the present study was to dissect the genetic basis of hexanol content in soybean seed through genome-wide association analysis(GWAS). A total of 105 soybean accessions were analyzed for hexanol content in a three-year experiments and genotyped by sequencing using the specific locus amplified fragment sequencing(SLAF-seq) approach. A total of 25 724 single nucleotide polymorphisms(SNPs) were obtained with minor allele frequencies(MAF)>5%. GWAS showed that 25 quantitative trait nucleotides(QTNs) were significantly associated with the hexanol concentration in soybean seed. These identified QTNs distributed on different genomic regions of the 15 chromosomes. A total of 91 genes were predicted as candidate genes underlying the seed hexanol level and six candidates were predicted possibly underlying the seed hexanol by gene based association. In this study, GWAS has been proven to be an effective way to dissect the genetic basis of the hexanol concentration in multiple genetic backgrounds. The identified beneficial alleles and candidate genes might be valuable for the improvement of marker-assisted breeding efficiency for low hexanol level and help to explore possible molecular mechanisms underlying hexanol content in soybean seed.
引用
收藏
页码:1222 / 1229
页数:8
相关论文
共 50 条
  • [1] Genetic dissection of hexanol content in soybean seed through genome-wide association analysis
    Xia Ning
    Yan Wen-bing
    Wang Xiao-qi
    Shao Yu-peng
    Yang Ming-ming
    Wang Zhi-kun
    Zhan Yu-hang
    Teng Wei-li
    Han Ying-peng
    Shi Yan-guo
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2019, 18 (06) : 1222 - 1229
  • [2] Genetic dissection of hexanol content in soybean seed through genome-wide association analysis (vol 18, pg 1222, 2019)
    XIA, Ning
    YAN, Wen-bing
    WANG, Xiao-qi
    SHAO, Yu-peng
    YANG, Ming-ming
    WANG, Zhi-kun
    ZHAN, Yu-hang
    TENG, Wei-li
    HAN, Ying-peng
    SH, Yan-guo, I
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2021, 20 (06) : V - V
  • [3] Genetic dissection of 2-heptenal content in soybean (Glycine max) seed through genome-wide association study
    Wang, Zhikun
    Yang, Mingming
    Wang, Yuanzhuo
    Yang, Chao
    Zhao, Xue
    Tian, Lizheng
    Shao, Yupeng
    Bao, Gege
    Huang, Jinxiu
    Xia, Ning
    Han, Yingpeng
    CROP & PASTURE SCIENCE, 2020, 71 (10): : 884 - 893
  • [4] Genetic analysis of protein content and oil content in soybean by genome-wide association study
    Jin, Hui
    Yang, Xue
    Zhao, Haibin
    Song, Xizhang
    Tsvetkov, Yordan Dimitrov
    Wu, YuE
    Gao, Qiang
    Zhang, Rui
    Zhang, Jumei
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [5] A genome-wide association study of seed protein and oil content in soybean
    Eun-Young Hwang
    Qijian Song
    Gaofeng Jia
    James E Specht
    David L Hyten
    Jose Costa
    Perry B Cregan
    BMC Genomics, 15
  • [6] A genome-wide association study of seed protein and oil content in soybean
    Hwang, Eun-Young
    Song, Qijian
    Jia, Gaofeng
    Specht, James E.
    Hyten, David L.
    Costa, Jose
    Cregan, Perry B.
    BMC GENOMICS, 2014, 15
  • [7] Genome-wide association study oF transmission of Soybean mosaic virus through seed
    Liu, Q.
    Hobbs, H.
    Domier, L.
    PHYTOPATHOLOGY, 2016, 106 (12) : 82 - 82
  • [8] Genome-wide association mapping and candidate gene analysis for saturated fatty acid content in soybean seed
    Zhao, Xue
    Chang, Hong
    Feng, Lei
    Jing, Yan
    Teng, Weili
    Qiu, Lijuan
    Zheng, Hongkun
    Han, Yingpeng
    Li, Wenbin
    PLANT BREEDING, 2019, 138 (05) : 588 - 598
  • [9] Genetic dissection of seed characteristics in field pennycress via genome-wide association mapping studies
    Tandukar, Zenith
    Chopra, Ratan
    Frels, Katherine
    Heim, Brett
    Marks, M. David
    Anderson, James A.
    PLANT GENOME, 2022, 15 (02):
  • [10] Genome-wide association study of sucrose content in vegetable soybean
    Wang, Pengwei
    Liu, Dandan
    Ni, Danqing
    Gao, Shu
    Hao, Yanpeng
    Xue, Chenchen
    Chen, Xin
    Zhao, Jinming
    Xing, Han
    Guo, Na
    BMC PLANT BIOLOGY, 2024, 24 (01):