GWAS and eQTL analyses reveal genetic components influencing the key fiber yield trait lint percentage in upland cotton

被引:0
作者
Guo, Chunping [1 ]
Pi, Ruizhen [2 ]
Wu, Yuanlong [1 ]
You, Jiaqi [2 ]
Qi, Zhenyang [2 ]
Liu, Zhenping [2 ]
Chang, Xinyi [1 ]
Ding, Shugen [1 ]
Zhang, Qi [1 ]
Han, Peng [1 ]
Zhang, Xianlong [2 ]
You, Chunyuan [2 ]
Wang, Maojun [2 ]
Nie, Xinhui [1 ]
机构
[1] Shihezi Univ, Agr Coll, Key Lab Oasis Ecol Agr Xinjiang Bingtuan, Shihezi 832003, Xinjiang, Peoples R China
[2] Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Hubei Hongshan Lab, Wuhan 430070, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
fiber initiation; lint percentage; quantitative trait loci; expression QTL; transcriptome-wide association study; genetic regulation; GENOME-WIDE ASSOCIATION; TRANSCRIPTOME; LOCI; SELECTION; BRASSICA; POPULATION; QUALITY; FORMAT;
D O I
10.1111/tpj.70036
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Lint percentage is an important component of cotton yield traits and an important economic indicator of cotton production. The initial stage of fiber development is a critical developmental period that affects the lint percentage trait, but the genetic regulation of the initial stage of fiber development needs to be resolved. In this study, we used a genomewide association study (GWAS) to identify 11 quantitative trait loci (QTLs) related to lint percentage and identified a total of 13 859 expression QTL (eQTLs) through transcriptome sequencing of 312 upland cotton accessions. Candidate genes for improving the lint percentage trait were identified through transcriptome-wide association study (TWAS), colocalization analysis, and differentially expressed gene analysis. We located nine candidate genes through the TWAS, and prioritized two key candidate genes (Ghir_A12G025980 and Ghir_A12G025990) related to lint percentage through colocalization and differential expression analysis. We showed that two eQTL hotspots (Hot26 and Hot28) synergistically participate in regulating the biological pathways of fiber initiation and development. Additionally, we unlocked the potential of genomic variants in improving the lint percentage by aggregating favorable alleles in accessions. New accessions suitable for improving lint percentage were excavated.
引用
收藏
页数:17
相关论文
共 83 条
[1]   Integrating a genome-wide association study with a large-scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice [J].
Anacleto, Roslen ;
Badoni, Saurabh ;
Parween, Sabiha ;
Butardo, Vito M., Jr. ;
Misra, Gopal ;
Paula Cuevas, Rosa ;
Kuhlmann, Markus ;
Trinidad, Trinidad P. ;
Mallillin, Aida C. ;
Acuin, Cecilia ;
Bird, Anthony R. ;
Morell, Matthew K. ;
Sreenivasulu, Nese .
PLANT BIOTECHNOLOGY JOURNAL, 2019, 17 (07) :1261-1275
[2]   Unraveling cis and trans regulatory evolution during cotton domestication [J].
Bao, Ying ;
Hu, Guanjing ;
Grover, Corrinne E. ;
Conover, Justin ;
Yuan, Daojun ;
Wendel, Jonathan F. .
NATURE COMMUNICATIONS, 2019, 10 (1)
[3]   The wheat chloroplastic small heat shock protein (sHSP26) is involved in seed maturation and germination and imparts tolerance to heat stress [J].
Chauhan, Harsh ;
Khurana, Neetika ;
Nijhavan, Aashima ;
Khurana, Jitendra P. ;
Khurana, Paramjit .
PLANT CELL AND ENVIRONMENT, 2012, 35 (11) :1912-1931
[4]   fastp: an ultra-fast all-in-one FASTQ preprocessor [J].
Chen, Shifu ;
Zhou, Yanqing ;
Chen, Yaru ;
Gu, Jia .
BIOINFORMATICS, 2018, 34 (17) :884-890
[5]   Genome-wide association study reveals novel quantitative trait loci and candidate genes of lint percentage in upland cotton based on the CottonSNP80K array [J].
Chen, Yu ;
Gao, Yang ;
Chen, Pengyun ;
Zhou, Juan ;
Zhang, Chuanyun ;
Song, Zhangqiang ;
Huo, Xuehan ;
Du, Zhaohai ;
Gong, Juwu ;
Zhao, Chengjie ;
Wang, Shengli ;
Zhang, Jingxia ;
Wang, Furong ;
Zhang, Jun .
THEORETICAL AND APPLIED GENETICS, 2022, 135 (07) :2279-2295
[6]   Rice GROWTH-REGULATING FACTOR 7 controls tiller number by regulating strigolactone synthesis [J].
Chen, Yunping ;
Dan, Zhiwu ;
Li, Shaoqing .
PLANT SIGNALING & BEHAVIOR, 2020, 15 (11)
[7]   INFLUENCE OF LINT PERCENTAGE, BOLL SIZE, AND SEED SIZE ON LINT YIELD OF UPLAND COTTON WITH HIGH FIBER STRENGTH [J].
CULP, TW ;
HARRELL, DC .
CROP SCIENCE, 1975, 15 (06) :741-746
[8]   The variant call format and VCFtools [J].
Danecek, Petr ;
Auton, Adam ;
Abecasis, Goncalo ;
Albers, Cornelis A. ;
Banks, Eric ;
DePristo, Mark A. ;
Handsaker, Robert E. ;
Lunter, Gerton ;
Marth, Gabor T. ;
Sherry, Stephen T. ;
McVean, Gilean ;
Durbin, Richard .
BIOINFORMATICS, 2011, 27 (15) :2156-2158
[9]  
Falush D, 2003, GENETICS, V164, P1567
[10]   Genomic analyses in cotton identify signatures of selection and loci associated with fiber quality and yield traits [J].
Fang, Lei ;
Wang, Qiong ;
Hu, Yan ;
Jia, Yinhua ;
Chen, Jiedan ;
Liu, Bingliang ;
Zhang, Zhiyuan ;
Guan, Xueying ;
Chen, Shuqi ;
Zhou, Baoliang ;
Mei, Gaofu ;
Sun, Junling ;
Pan, Zhaoe ;
He, Shoupu ;
Xiao, Songhua ;
Shi, Weijun ;
Gong, Wenfang ;
Liu, Jianguang ;
Ma, Jun ;
Cai, Caiping ;
Zhu, Xiefei ;
Guo, Wangzhen ;
Du, Xiongming ;
Zhang, Tianzhen .
NATURE GENETICS, 2017, 49 (07) :1089-+