Quantitative Trait Loci and Transcriptome Analysis Reveal Genetic Basis of Fiber Quality Traits in CCRI70 RIL Population of Gossypium hirsutum

被引:5
|
作者
Jiang, Xiao [1 ]
Gong, Juwu [1 ,2 ]
Zhang, Jianhong [3 ]
Zhang, Zhen [1 ]
Shi, Yuzhen [1 ]
Li, Junwen [1 ]
Liu, Aiying [1 ]
Gong, Wankui [1 ]
Ge, Qun [1 ]
Deng, Xiaoying [1 ]
Fan, Senmiao [1 ]
Chen, Haodong [4 ]
Kuang, Zhengcheng [4 ]
Pan, Jingtao [1 ]
Che, Jincan [5 ]
Zhang, Shuya [1 ]
Jia, Tingting [1 ]
Wei, Renhui [1 ]
Chen, Quanjia [2 ]
Wei, Shoujun [1 ]
Shang, Haihong [1 ,5 ]
Yuan, Youlu [1 ,2 ,5 ]
机构
[1] Chinese Acad Agr Sci, Inst Cotton Res, State Key Lab Cotton Biol, Anyang, Peoples R China
[2] Xinjiang Agr Univ, Coll Agr, Engn Res Centre Cotton, Minist Educ, Urumqi, Peoples R China
[3] Hebei Acad Agr & Forestry Sci, Inst Cotton, Shijiazhuang, Peoples R China
[4] Natl Hybrid Cotton Res Promot Ctr, Cotton Sci Res Inst Hunan, Changde, Peoples R China
[5] Zhengzhou Univ, Sch Agr Sci, Zhengzhou, Peoples R China
来源
FRONTIERS IN PLANT SCIENCE | 2021年 / 12卷
基金
中国国家自然科学基金;
关键词
Gossypium hirsutum; RIL; fiber quality; quantitative trait loci; RNA-seq; UPLAND COTTON; BRASSINOSTEROID BIOSYNTHESIS; ARABIDOPSIS-THALIANA; GENOME SEQUENCE; QTL ANALYSIS; MAP; BARBADENSE; EXPRESSION; PATHWAY; LIGNIN;
D O I
10.3389/fpls.2021.753755
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Upland cotton (Gossypium hirsutum) is widely planted around the world for its natural fiber, and producing high-quality fiber is essential for the textile industry. CCRI70 is a hybrid cotton plant harboring superior yield and fiber quality, whose recombinant inbred line (RIL) population was developed from two upland cotton varieties (sGK156 and 901-001) and were used here to investigate the source of high-quality related alleles. Based on the material of the whole population, a high-density genetic map was constructed using specific locus-amplified fragment sequencing (SLAF-seq). It contained 24,425 single nucleotide polymorphism (SNP) markers, spanning a distance of 4,850.47 centimorgans (cM) over 26 chromosomes with an average marker interval of 0.20 cM. In evaluating three fiber quality traits in nine environments to detect multiple environments stable quantitative trait loci (QTLs), we found 289 QTLs, of which 36 of them were stable QTLs and 18 were novel. Based on the transcriptome analysis for two parents and two RILs, 24,941 unique differentially expressed genes (DEGs) were identified, 473 of which were promising genes. For the fiber strength (FS) QTLs, 320 DEGs were identified, suggesting that pectin synthesis, phenylpropanoid biosynthesis, and plant hormone signaling pathways could influence FS, and several transcription factors may regulate fiber development, such as GAE6, C4H, OMT1, AFR18, EIN3, bZIP44, and GAI. Notably, the marker D13_56413025 in qFS-chr18-4 provides a potential basis for enhancing fiber quality of upland cotton via marker-assisted breeding and gene cloning of important fiber quality traits.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Genetic analysis of fiber quality traits in short season cotton (Gossypium hirsutum L.)
    Meizhen Song
    Shuli Fan
    Chaoyou Pang
    Hengling Wei
    Ji Liu
    Shuxun Yu
    Euphytica, 2015, 202 : 97 - 108
  • [22] Genetic analysis of fiber quality traits in short season cotton (Gossypium hirsutum L.)
    Song, Meizhen
    Fan, Shuli
    Pang, Chaoyou
    Wei, Hengling
    Liu, Ji
    Yu, Shuxun
    EUPHYTICA, 2015, 202 (01) : 97 - 108
  • [23] Genetic linkage analysis of stable QTLs in Gossypium hirsutum RIL population revealed function of GhCesA4 in fiber development
    Liu, Ruixian
    Xiao, Xianghui
    Gong, Jw
    Li, Junwen
    Yan, Haoliang
    Ge, Qun
    Lu, Quanwei
    Li, Pengtao
    Pan, Jingtao
    Shang, Haihong
    Shi, Yuzhen
    Chen, Quanjia
    Yuan, Youlu
    Gong, Wankui
    JOURNAL OF ADVANCED RESEARCH, 2024, 65 : 33 - 46
  • [24] Genetic dissection and origin of pleiotropic loci underlying multilevel fiber quality traits in upland cotton (Gossypium hirsutum L.)
    Li, Hongge
    Tang, Shurong
    Peng, Zhen
    Fu, Guoyong
    Jia, Yinhua
    Wei, Shoujun
    Chen, Baojun
    Iqbal, Muhammad Shahid
    He, Shoupu
    Du, Xiongming
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2024, 23 (10) : 3250 - 3263
  • [25] Fiber Quality Improvement in Upland Cotton (Gossypium hirsutum L.): Quantitative Trait Loci Mapping and Marker Assisted Selection Application
    Ijaz, Babar
    Zhao, Nan
    Kong, Jie
    Hua, Jinping
    FRONTIERS IN PLANT SCIENCE, 2019, 10
  • [26] Analysis of transcriptome data and quantitative trait loci enables the identification of candidate genes responsible for fiber strength in Gossypium barbadense
    Duan, Yajie
    Chen, Qin
    Chen, Quanjia
    Zheng, Kai
    Cai, Yongsheng
    Long, Yilei
    Zhao, Jieyin
    Guo, Yaping
    Sun, Fenglei
    Qu, Yanying
    G3-GENES GENOMES GENETICS, 2022, 12 (09):
  • [27] 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):
  • [28] Quantitative Trait Loci Mapping and Candidate Gene Analysis for Fiber Quality Traits in Upland Cotton
    Jia, Xiaoyun
    Zhao, Hongxia
    Zhu, Jijie
    Wang, Shijie
    Li, Miao
    Wang, Guoyin
    AGRONOMY-BASEL, 2024, 14 (08):
  • [29] Construction of genetic map and QTL analysis of fiber quality traits for Upland cotton (Gossypium hirsutum L.)
    Tang, Shiyi
    Teng, Zhonghua
    Zhai, Tengfei
    Fang, Xiaomei
    Liu, Fang
    Liu, Dajun
    Zhang, Jian
    Liu, Dexin
    Wang, Shunfeng
    Zhang, Ke
    Shao, Qianshun
    Tan, Zhaoyun
    Paterson, Andrew H.
    Zhang, Zhengsheng
    EUPHYTICA, 2015, 201 (02) : 195 - 213
  • [30] Construction of genetic map and QTL analysis of fiber quality traits for Upland cotton (Gossypium hirsutum L.)
    Shiyi Tang
    Zhonghua Teng
    Tengfei Zhai
    Xiaomei Fang
    Fang Liu
    Dajun Liu
    Jian Zhang
    Dexin Liu
    Shunfeng Wang
    Ke Zhang
    Qianshun Shao
    Zhaoyun Tan
    Andrew H. Paterson
    Zhengsheng Zhang
    Euphytica, 2015, 201 : 195 - 213