Regulatory divergence of homoeologs underlies network optimization for fiber improvement in domesticated cotton

Polyploidy is prominent in plant evolution and in many of the world’s most important crops, yet how domestication reshapes the regulation of duplicated genes (homoeologs) to generate superior agronomic traits remains incompletely understood. Here, we integrate population genomics, stage-resolved transcriptomics, expression quantitative trait locus (eQTL) mapping, and coexpression network analysis across 161 semiwild and 376 cultivated accessions of allotetraploid cotton ( Gossypium hirsutum ) to dissect the regulatory consequences of domestication. We show that domestication increases both the frequency and magnitude of homoeologous expression bias (HEB), with biased pairs preferentially organized into trait-associated, functionally specialized coexpression network modules. Bias-eQTL mapping identifies HEB-associated cis -regulatory variants that are enriched in open chromatin regions. Bayesian colocalization analysis further reveals that 92 bias-eQTLs colocalize with fiber quality-related genetic loci, where favorable alleles exhibit substantial frequency increases during domestication. Collectively, this work provides a mechanistic framework linking selection-driven regulatory asymmetry to coexpression network optimization in polyploids and highlights expression bias as a promising target for precision breeding in crops.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-08-20
DOI
https://doi.org/10.1073/pnas.2523784123
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
0.00

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article

Regulatory divergence of homoeologs underlies network optimization for fiber improvement in domesticated cotton

Maojun Wang, Yanchao Xu, Xuehan Tian, Jonathan F. Wendel et al.
Proceedings of the National Academy of Sciences
Research in Cotton Cultivation
article

Regulatory divergence of homoeologs underlies network optimization for fiber improvement in domesticated cotton

Maojun Wang, Yanchao Xu, Xuehan Tian, Jonathan F. Wendel, Zeyu Zhang, Yawen Wang, Fang Liu, Xianlong Zhang, Zhengyang Qi, Lili Tu, Xinhui Nie, Wei Zhang, Boyang Chen, Zhiwei Chen, Yang Meng, Jinglei Yang
article en

Abstract

Polyploidy is prominent in plant evolution and in many of the world’s most important crops, yet how domestication reshapes the regulation of duplicated genes (homoeologs) to generate superior agronomic traits remains incompletely understood. Here, we integrate population genomics, stage-resolved transcriptomics, expression quantitative trait locus (eQTL) mapping, and coexpression network analysis across 161 semiwild and 376 cultivated accessions of allotetraploid cotton ( Gossypium hirsutum ) to dissect the regulatory consequences of domestication. We show that domestication increases both the frequency and magnitude of homoeologous expression bias (HEB), with biased pairs preferentially organized into trait-associated, functionally specialized coexpression network modules. Bias-eQTL mapping identifies HEB-associated cis -regulatory variants that are enriched in open chromatin regions. Bayesian colocalization analysis further reveals that 92 bias-eQTLs colocalize with fiber quality-related genetic loci, where favorable alleles exhibit substantial frequency increases during domestication. Collectively, this work provides a mechanistic framework linking selection-driven regulatory asymmetry to coexpression network optimization in polyploids and highlights expression bias as a promising target for precision breeding in crops.

Proceedings of the National Academy of SciencesVol. 123(34)
Iowa State University (US), Huazhong Agricultural University (CN), Xinjiang Production and Construction Corps (CN), Cotton Research Institute (CN), Chinese Academy of Agricultural Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 12%
Research in Cotton Cultivation
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