ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Plant Abiotic Stress

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1610552

This article is part of the Research TopicAdvancing Plant Abiotic Stress Research with Integrated Multi-Omics TechnologiesView all articles

Comparative transcriptome and metabolome profiling unveil genotypespecific strategies for drought tolerance in cotton

Provisionally accepted
AiXia  HanAiXia HanWanWan  FuWanWan FuYunhao  LiuSuiYunhao LiuSuiXingYue  ZhongXingYue ZhongXin  ZhangXin ZhangZiYu  WangZiYu WangYuanXin  LiYuanXin LiJiingBo  ZhangJiingBo Zhang*YanJun  GuoYanJun Guo*
  • School of Life Sciences, Xinjiang Normal University, Urumchi, China

The final, formatted version of the article will be published soon.

As a globally important economic crop, cotton often faces yield and quality limitations due to drought stress. To elucidate drought tolerance mechanisms, this study screened a drought-tolerant variety (64-22-3) and a drought-sensitive variety (Anmian 3, A3) from five drought-resistant and five drought-sensitive materials, respectively. Integrated transcriptomic and metabolomic analyses revealed 7,351 differentially expressed genes (DEGs) in the drought-tolerant variety under drought treatment (5,034 upregulated, 2,317 downregulated), while the drought-sensitive variety exhibited 5,009 DEGs (3,222 upregulated, 1,787 downregulated). Metabolomic profiling identified 169 differentially accumulated metabolites (DAMs) (120 upregulated, 49 downregulated) in 64-22-3 and 173 DAMs (120 upregulated, 53 downregulated) in A3. KEGG enrichment analysis showed that DEGs and DAMs in both varieties were significantly enriched in secondary metabolite biosynthesis, flavonoid biosynthesis, and sesquiterpenoid/triterpenoid biosynthesis. Notably, the drought-tolerant variety displayed specific enrichment in phenylpropanoid biosynthesis, linoleic acid metabolism, and glucosinolate biosynthesis, suggesting their roles in drought adaptation. Weighted gene co-expression network analysis (WGCNA) of 2,064 unique DEGs and 20 key metabolites in the drought-tolerant variety identified blue and turquoise modules as strongly associated with metabolite accumulation, with core hub genes Ghi_D06G05631 and Ghi_A13G12271, which encode TOPLESS-related 1 protein and CIPK6 (CBL-interacting protein kinase 6) separately. Transcription factor (TF) analysis revealed seven high-connectivity TF families (HSF, Golden2-like, SNF2, mTERF, bHLH, C2H2, B3) in the blue module and six TF families (Tify, ARR-B, AUX/IAA, bHLH, Alfin-like, LUG) in the turquoise module, suggesting their coordinated regulation of drought responses. This study systematically elucidates the molecular network underlying cotton's drought adaptation, providing critical insights for identifying key drought-resistant genes and developing resilient cultivars.Cotton is one of the most economically significant natural fiber crops globally (Geng et al., 2024). As the largest producer and consumer of cotton globally, China faces significant economic implications from potential shortages of cotton and cotton-derived products. Current cultivation practices ; 删除[韩爱霞]:. The accumulation of lipids and phenylpropanoid derivatives in the tolerant variety may enhance cell membrane stability and antioxidant capacity.

Keywords: Cotton, Drought-resistant varieties, Transcriptome, Metabolome, Hub gene GARP-G2-like, MTERF, Aux/IAA

Received: 12 Apr 2025; Accepted: 22 May 2025.

Copyright: © 2025 Han, Fu, LiuSui, Zhong, Zhang, Wang, Li, Zhang and Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
JiingBo Zhang, School of Life Sciences, Xinjiang Normal University, Urumchi, China
YanJun Guo, School of Life Sciences, Xinjiang Normal University, Urumchi, China

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