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

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.

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Publication Details

Journal
The Plant Journal
Published
2025-03-01
DOI
https://doi.org/10.1111/tpj.70036
Citations
2
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
3.50

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article

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

Chunping Guo, Jiaqi You, Yuanlong Wu, Maojun Wang et al.
2 citations
The Plant Journal
Research in Cotton Cultivation
3.50
article

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

Chunping Guo, Jiaqi You, Yuanlong Wu, Maojun Wang, Zhili Qi, Chunyuan You, Shugen Ding, Ruizhen Pi, Qi Zhang, Xianlong Zhang, Peng Han, Zhenping Liu, Xinhui Nie, Xinyi Chang
article en
2 citations

Abstract

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.

The Plant JournalVol. 121(5)
Shihezi University (CN), Huazhong Agricultural University (CN), Xinjiang Production and Construction Corps (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Research in Cotton Cultivation
3.50
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