Genomic and co-expression network analyses reveal candidate genes for oil accumulation based on an introgression population in Upland cotton (Gossypium hirsutum)

被引:1
|
作者
Ma, Jianjiang [1 ,2 ]
Jia, Bing [1 ]
Bian, Yingying [1 ]
Pei, Wenfeng [1 ]
Song, Jikun [1 ]
Wu, Man [1 ]
Wang, Wenkui [1 ]
Wang, Li [1 ]
Zhang, Bingbing [1 ]
Feng, Pan [1 ]
Yang, Liupeng [1 ]
Zhang, Jinfa [3 ]
Yu, Jiwen [1 ,2 ]
机构
[1] Chinese Acad Agr Sci, State Key Lab Cotton Biol, Key Lab Cotton Genet Improvement, Inst Cotton Res,Minist Agr, Anyang, Henan, Peoples R China
[2] Zhengzhou Univ, State Key Lab Cotton Biol, Zhengzhou Res Base, Zhengzhou, Peoples R China
[3] New Mexico State Univ, Dept Plant & Environm Sci, Las Cruces, NM 88003 USA
基金
中国国家自然科学基金;
关键词
ASSOCIATION ANALYSIS; WIDE ASSOCIATION; QUALITY TRAITS; FIBER QUALITY; IDENTIFICATION; OVEREXPRESSION; TRANSCRIPTOME; LOCI;
D O I
10.1007/s00122-023-04527-3
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Cotton is an economical source of edible oil for the food industry. The genetic mechanism that regulates oil biosynthesis in cottonseeds is essential for the genetic enhancement of oil content (OC). To explore the functional genomics of OC, this study utilized an interspecific backcross inbred line population to dissect the quantitative trait locus (QTL) interlinked with OC. In total, nine OC QTLs were identified, four of which were novel, and each QTL explained 3.62-34.73% of the phenotypic variation of OC. The comprehensive transcript profiling of developing cottonseeds revealed 3,646 core genes differentially expressed in both inbred parents. Functional enrichment analysis determined 43 genes were annotated with oil biosynthesis processes. Implementation of weighted gene co-expression network analysis showed that 803 differential genes had a significant correlation with the OC phenotype. Further integrated analysis identified seven important genes located in OC QTLs. Of which, the GhHSD1 gene located in stable QTL qOC-Dt3-1 exhibited the highest functional linkages with the other network genes. Phylogenetic analysis showed significant evolutionary differences in the HSD1 sequences between oilseed- and starch- crops. Furthermore, the overexpression of GhHSD1 in Arabidopsis yielded almost 6.78% higher seed oil. This study not only uncovers important genetic loci for oil accumulation in cottonseed, but also provides a set of new candidate genes that potentially influence the oil biosynthesis pathway in cottonseed.
引用
收藏
页数:13
相关论文
共 40 条
  • [1] Genomic and co-expression network analyses reveal candidate genes for oil accumulation based on an introgression population in Upland cotton (Gossypium hirsutum)
    Jianjiang Ma
    Bing Jia
    Yingying Bian
    Wenfeng Pei
    Jikun Song
    Man Wu
    Wenkui Wang
    Li Kashif
    Bingbing Shahzad
    Pan Wang
    Liupeng Zhang
    Jinfa Feng
    Jiwen Yang
    Theoretical and Applied Genetics, 2024, 137
  • [2] Genomic analyses reveal the genetic basis of early maturity and identification of loci and candidate genes in upland cotton (Gossypium hirsutumL.)
    Li, Libei
    Zhang, Chi
    Huang, Jianqin
    Liu, Qibao
    Wei, Hengling
    Wang, Hantao
    Liu, Guoyuan
    Gu, Lijiao
    Yu, Shuxun
    PLANT BIOTECHNOLOGY JOURNAL, 2021, 19 (01) : 109 - 123
  • [3] Whole genome sequencing of a MAGIC population identified genomic loci and candidate genes for major fiber quality traits in upland cotton (Gossypium hirsutum L.)
    Gregory N. Thyssen
    Johnie N. Jenkins
    Jack C. McCarty
    Linghe Zeng
    B. Todd Campbell
    Christopher D. Delhom
    Md. Sariful Islam
    Ping Li
    Don C. Jones
    Brian D. Condon
    David D. Fang
    Theoretical and Applied Genetics, 2019, 132 : 989 - 999
  • [4] Whole genome sequencing of a MAGIC population identified genomic loci and candidate genes for major fiber quality traits in upland cotton (Gossypium hirsutum L.)
    Thyssen, Gregory N.
    Jenkins, Johnie N.
    McCarty, Jack C.
    Zeng, Linghe
    Campbell, B. Todd
    Delhom, Christopher D.
    Islam, Md. Sariful
    Li, Ping
    Jones, Don C.
    Condon, Brian D.
    Fang, David D.
    THEORETICAL AND APPLIED GENETICS, 2019, 132 (04) : 989 - 999
  • [5] Homology-based identification of candidate genes for male sterility editing in upland cotton (Gossypium hirsutum L.)
    Morales, Karina Y.
    Bridgeland, Aya H.
    Hake, Kater D.
    Udall, Joshua A.
    Thomson, Michael J.
    Yu, John Z.
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [6] Co-Expression Network Analysis and Hub Gene Selection for High-Quality Fiber in Upland Cotton (Gossypium hirsutum) Using RNA Sequencing Analysis
    Zou, Xianyan
    Liu, Aiying
    Zhang, Zhen
    Ge, Qun
    Fan, Senmiao
    Gong, Wankui
    Li, Junwen
    Gong, Juwu
    Shi, Yuzhen
    Tian, Baoming
    Wang, Yanling
    Liu, Ruixian
    Lei, Kang
    Zhang, Qi
    Jiang, Xiao
    Feng, Yulong
    Zhang, Shuya
    Jia, Tingting
    Zhang, Lipeng
    Yuan, Youlu
    Shang, Haihong
    GENES, 2019, 10 (02)
  • [7] Weighted Gene Co-Expression Network Analysis Reveals Hub Genes for Fuzz Development in Gossypium hirsutum
    Jiao, Yang
    Long, Yilei
    Xu, Kaixiang
    Zhao, Fuxiang
    Zhao, Jieyin
    Li, Shengmei
    Geng, Shiwei
    Gao, Wenju
    Sun, Peng
    Deng, Xiaojuan
    Chen, Quanjia
    Li, Chunpin
    Qu, Yanying
    GENES, 2023, 14 (01)
  • [8] Identification of Loci and Candidate Genes Responsible for Fiber Length in Upland Cotton (Gossypium hirsutum L.) via Association Mapping and Linkage Analyses
    Zhang, Chi
    Li, Libei
    Liu, Qibao
    Gu, Lijiao
    Huang, Jianqin
    Wei, Hengling
    Wang, Hantao
    Yu, Shuxun
    FRONTIERS IN PLANT SCIENCE, 2019, 10
  • [9] Dynamic transcriptome and co-expression network analysis of the cotton (Gossypium hirsutum) root response to salinity stress at the seedling stage
    Wang, Yongqiang
    Liu, Jianguang
    Zhao, Guiyuan
    Geng, Zhao
    Qi, Hong
    Dou, Haikuan
    Zhang, Hanshuang
    ACTA PHYSIOLOGIAE PLANTARUM, 2020, 42 (08)
  • [10] Dynamic transcriptome and co-expression network analysis of the cotton (Gossypium hirsutum) root response to salinity stress at the seedling stage
    Yongqiang Wang
    Jianguang Liu
    Guiyuan Zhao
    Zhao Geng
    Hong Qi
    Haikuan Dou
    Hanshuang Zhang
    Acta Physiologiae Plantarum, 2020, 42