A genome-wide atlas of small secreted peptides (SSPs) in cotton identifies GDRP as a novel peptide hormone-enhancing drought tolerance via ABA and MAPK signaling
文献类型: 外文期刊
作者: Shuaiqi Lu;Teng Wang;Pengying Yang;Saiwen Chang;Zuoren Yang;Fei Xiao
作者机构:
关键词: cotton;drought stress;GDRP;MAPK and ABA signaling;peptide hormone;small secreted peptide (SSPs)
期刊名称: Plant Journal
ISSN: 0960-7412
年卷期: 2026 年 125 卷 1 期
页码:
收录情况: SCIE(2025版) ; ; EI(2025版)
摘要: Upland cotton (Gossypium hirsutum) and sea-island cotton (Gossypium barbadense) are the two most widely cultivated cotton species, differing in their fiber quality and environmental adaptability. Small secreted peptides (SSPs) are key signaling molecules that regulate plant development and stress responses, yet their genome-wide diversity and functional roles in cotton remain largely uncharacterized. Here, leveraging high-quality genome assemblies, we systematically identified 2629 and 2331 SSPs in G. hirsutum and G. barbadense, respectively. Transcriptomic analyses revealed distinct species SSP expression dynamics: Expressed SSPs number declined during fiber and ovule development in G. hirsutum, but increased in G. barbadense, implicating SSPs in the superior fiber traits of the latter. Under abiotic stress, G. hirsutum displayed a predominantly downregulated SSPs profile, whereas G. barbadense maintained a more balanced transcriptional response, suggesting divergent stress adaptation strategies. Among the differentially expressed SSPs, we identified and characterized GDRP (Gossypium Drought and Salt Resistance Peptide), a novel peptide strongly induced by both drought and salt stress. Exogenous application of GDRP significantly enhanced stress tolerance by reducing oxidative damage, improving water-use efficiency, and promoting stomatal closure. VIGS (Virus-Induced Gene Silencing) experiments have demonstrated that GhGDRP6 acts as a positive regulatory factor for drought tolerance. Mechanistically, GDRP activated abscisic acid (ABA) signaling by upregulating GhPYL4 and GhNACs, and repressing GhPP2Cs and GhPIP2;7, key negative regulators of ABA-mediated drought responses. Furthermore, GDRP induced the phosphorylation of GhMPK3 and GhMPK6, two central kinases in the MAPK signaling cascade. Virus-induced gene silencing of GhMPK3 or GhMPK6 abolished GDRP-mediated drought tolerance, confirming a MAPK3/6-dependent mechanism. Collectively, this study provides the first genome-wide SSP atlas in cotton and uncovers GDRP as a previously uncharacterized peptide that modulates ABA and MAPK signaling to enhance abiotic stress resilience. These findings lay the foundation for peptide-based crop improvement strategies targeting stress tolerance and yield stability in cotton.
分类号:
- 相关文献
作者其他论文 更多>>
-
An AP2/ERF transcription factor GhERF109 negatively regulates plant growth and development in cotton
作者:Huiyun Shi;Ghulam Qanmber;Zuoren Yang;Yuling Guo;Shuya Ma;Sheng Shu;Yujun Li;Zhongxu Lin;Fuguang Li;Zhao Liu
关键词:Arabidopsis;Auxin;Cotton;GhERF109;Plant growth;Plant height
-
Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)
作者:Liqiang Fan;Jiajie Yang;Xuwen Wang;Zhao Liu;Bowei Xu;Li Liu;Chenxu Gao;Xiantao Ai;Fuguang Li;Lei Gao;Yu Yu;Zuoren Yang
关键词:Genome-wide association study;LiDAR;Plant height;RGB;UAV
-
Leveraging computer-aided drug design for the discovery of phytohormone analogs: A review
作者:Yuling Guo;Ghulam Qanmber;Zhao Liu;Han Yang;Jun Li;Zhikun Yang;Zhongxian Li;Linlin Yang;Zuoren Yang
关键词:Abscisic acid;Artificial intelligence (AI);Brassinolide;Computer-aided drug design (CADD);Phytohormone analog
-
The promotive and repressive effects of exogenous H2O2 on Arabidopsis seed germination and seedling establishment depend on application dose
作者:Yakong Wang;Xiaohong Liu;Xiangyang Sun;Xiaonan Mao;Zhaoye Wang;Jun Peng;Zuoren Yang;Faiza Ali;Zhi Wang;Fuguang Li
关键词:H2O2; Arabidopsis; germination; seedling
-
UAV-based LiDAR and multispectral sensors fusion for cotton yield estimation: Plant height and leaf chlorophyll content as a bridge linking remote sensing data to yield
作者:Bin Wu;Liqiang Fan;Bowei Xu;Jiajie Yang;Rumeng Zhao;Qiong Wang;Xiantao Ai;Huixin Zhao;Zuoren Yang
关键词:Cotton;Data fusion;Machine learning;UAV;Yield estimation
-
Upgrading cotton-based resources for regenerated cellulose fibers, functional fibers, smart textiles, and other high-value uses
作者:Chenggu Cai;Zhao Liu;Fuguang Li;Zuoren Yang
关键词:Cotton waste valorization;Functional fibers;High-value applications;Regenerated cellulose fibers;Smart textiles
-
Chlorophyll dynamic fusion based on high-throughput remote sensing and machine learning algorithms for cotton yield prediction
作者:Jiajie Yang;Bowei Xu;Bin Wu;Rumeng Zhao;Le Liu;Fuguang Li;Xiantao Ai;Liqiang Fan;Zuoren Yang
关键词:Leaf chlorophyll content;Machine learning algorithms;Multi-source remote sensing;Unmanned aerial vehicle;Yield