Genome-Wide Association Analysis Reveals Loci and Candidate Genes Involved in Fiber Quality Traits Under Multiple Field Environments in Cotton (Gossypium hirsutum)

被引:15
|
作者
Song, Xiaohui [1 ]
Zhu, Guozhong [1 ]
Hou, Sen [1 ]
Ren, Yamei [1 ]
Amjid, Muhammad Waqas [1 ]
Li, Weixi [1 ]
Guo, Wangzhen [1 ]
机构
[1] Nanjing Agr Univ, State Key Lab Crop Genet & Germplasm Enhancement, Minist Educ, Cotton Germplasm Enhancement & Applicat Engn Res, Nanjing, Peoples R China
来源
关键词
fiber quality traits; genome-wide association study; upland cotton; single nucleotide polymorphism; quantitative trait loci; EMPIRICAL BAYES; QTL ANALYSIS; INTEGRATION; PROTEINS; FAMILY;
D O I
10.3389/fpls.2021.695503
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Fiber length, fiber strength, and fiber micronaire are the main fiber quality parameters in cotton. Thus, mining the elite and stable loci/alleles related to fiber quality traits and elucidating the relationship between the two may accelerate genetic improvement of fiber quality in cotton. Here, genome-wide association analysis (GWAS) was performed for fiber quality parameters based on phenotypic data, and 56,010 high-quality single nucleotide polymorphisms (SNPs) using 242 upland cotton accessions under 12 field environments were obtained. Phenotypic analysis exhibited that fiber length (FL) had a positive correlation with fiber strength (FS) and had a negative correlation with fiber micronaire (Mic). Genetic analysis also indicated that FL, FS, and Mic had high heritability of more than 80%. A total of 67 stable quantitative trait loci (QTLs) were identified through GWAS analysis, including 31 for FL, 21 for FS, and 22 for Mic. Of them, three pairs homologous QTLs were detected between A and D subgenomes, and seven co-located QTLs with two fiber quality parameters were found. Compared with the reported QTLs, 34 co-located with previous studies, and 33 were newly revealed. Integrated with transcriptome analysis, we selected 256, 244, and 149 candidate genes for FL, FS, and Mic, respectively. Gene Ontology (GO) analysis showed that most of the genes located in QTLs interval of the three fiber quality traits were involved in sugar biosynthesis, sugar metabolism, microtubule, and cytoskeleton organization, which played crucial roles in fiber development. Through correlation analysis between haplotypes and phenotypes, three genes (GH_A05G1494, GH_D11G3097, and GH_A05G1082) predominately expressed in fiber development stages were indicated to be potentially responsible for FL, FS, and Mic, respectively. The GH_A05G1494 encoded a protein containing SGS-domain, which is related to tubulin-binding and ubiquitin-protein ligase binding. The GH_D11G3097 encoded 20S proteasome beta subunit G1, and was involved in the ubiquitin-dependent protein catabolic process. The GH_A05G1082 encoded RAN binding protein 1 with a molecular function of GTPase activator activity. These results provide new insights and candidate loci/genes for the improvement of fiber quality in cotton.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Genetic variations in plant architecture traits in cotton (Gossypium hirsutum) revealed by a genome-wide association study
    Wen, Tianwang
    Dai, Baosheng
    Wang, Tao
    Liu, Xinxin
    You, Chunyuan
    Lin, Zhongxu
    CROP JOURNAL, 2019, 7 (02): : 209 - 216
  • [22] Allele and transcriptome mining in Gossypium hirsutum reveals variation in candidate genes at genetic loci affecting cotton fiber quality and textile flammability
    Thyssen, Gregory N.
    Smith, Wayne
    Naoumkina, Marina
    Pinnika, Ganesh
    Jenkins, Johnie N.
    Mccarty, Jack C.
    Li, Ping
    Florane, Christopher B.
    Jones, Don C.
    Fang, David D.
    BMC PLANT BIOLOGY, 2025, 25 (01):
  • [23] Uncovering Novel Genomic Regions and Candidate Genes for Senescence-Related Traits by Genome-Wide Association Studies in Upland Cotton (Gossypium hirsutum L.)
    Liu, Qibao
    Li, Libei
    Feng, Zhen
    Yu, Shuxun
    FRONTIERS IN PLANT SCIENCE, 2022, 12
  • [24] Genome-wide association reveals genetic variation of lint yield components under salty field conditions in cotton (Gossypium hirsutum L.)
    Guozhong Zhu
    Wenwei Gao
    Xiaohui Song
    Fenglei Sun
    Sen Hou
    Na Liu
    Yajie Huang
    Dayong Zhang
    Zhiyong Ni
    Quanjia Chen
    Wangzhen Guo
    BMC Plant Biology, 20
  • [25] Genome-wide association reveals genetic variation of lint yield components under salty field conditions in cotton (Gossypium hirsutum L.)
    Zhu, Guozhong
    Gao, Wenwei
    Song, Xiaohui
    Sun, Fenglei
    Hou, Sen
    Liu, Na
    Huang, Yajie
    Zhang, Dayong
    Ni, Zhiyong
    Chen, Quanjia
    Guo, Wangzhen
    BMC PLANT BIOLOGY, 2020, 20 (01)
  • [26] Genome-Wide Association in Tomato Reveals 44 Candidate Loci for Fruit Metabolic Traits
    Sauvage, Christopher
    Segura, Vincent
    Bauchet, Guillaume
    Stevens, Rebecca
    Phuc Thi Do
    Nikoloski, Zoran
    Fernie, Alisdair R.
    Causse, Mathilde
    PLANT PHYSIOLOGY, 2014, 165 (03) : 1120 - 1132
  • [27] Quantitative trait loci and candidate genes for yield-related traits of upland cotton revealed by genome-wide association analysis under drought conditions
    Fenglei Sun
    Yanlong Yang
    Penglong Wang
    Jun Ma
    Xiongming Du
    BMC Genomics, 24
  • [28] Quantitative trait loci and candidate genes for yield-related traits of upland cotton revealed by genome-wide association analysis under drought conditions
    Sun, Fenglei
    Yang, Yanlong
    Wang, Penglong
    Ma, Jun
    Du, Xiongming
    BMC GENOMICS, 2023, 24 (01)
  • [29] Genome-wide association analysis reveals genetic loci and candidate genes for white diarrhea in Jingyuan chickens
    Yang, Lijuan
    Chen, Siyu
    Zhao, Wei
    Zhang, Guojun
    Zhang, Hu
    Zhang, Tong
    Xue, Lin
    Tian, Jinli
    Gu, Yaling
    Li, Lanlan
    Wang, Hu
    Zhang, Juan
    RESEARCH IN VETERINARY SCIENCE, 2025, 186
  • [30] Genome-wide association study identifies loci and candidate genes for meat quality traits in Simmental beef cattle
    Jiangwei Xia
    Xin Qi
    Yang Wu
    Bo Zhu
    Lingyang Xu
    Lupei Zhang
    Xue Gao
    Yan Chen
    Junya Li
    Huijiang Gao
    Mammalian Genome, 2016, 27 : 246 - 255