Yingjie Zheng, Yajing Zheng, Wanyi Liu, Peiting Hu, Li Zhang, Junwei Yang, Guanpeng Huang, Zhenqi Li, Aliye Abulajiang, Tao Li, Xu Wang, Samuel Tareke Woldegiorgis, Wei Liu, Lina Zhang, Yufang Ai, Ti Wu, Shoukai Lin, Huaqin He
{"title":"Landscape and population genomic analysis reveal climate adaptation strategies in Chinese wild grapes (Vitis spp.)","authors":"Yingjie Zheng, Yajing Zheng, Wanyi Liu, Peiting Hu, Li Zhang, Junwei Yang, Guanpeng Huang, Zhenqi Li, Aliye Abulajiang, Tao Li, Xu Wang, Samuel Tareke Woldegiorgis, Wei Liu, Lina Zhang, Yufang Ai, Ti Wu, Shoukai Lin, Huaqin He","doi":"10.1016/j.stress.2026.101526","DOIUrl":null,"url":null,"abstract":"<div><div>Global climate change threatens grape production, while wild germplasm provides valuable genetic resources for climate resilience. To systematically understand the genetic diversity and climate adaptation of Chinese wild grapes, we integrated population and landscape genomics analyses of 61 accessions. The Northeastern group formed a distinct genetic cluster, whereas most other groups exhibited high genetic diversity, moderate genetic differentiation, and substantial admixture. The temperature‐related variables, particularly annual mean temperature and maximum temperatures in June and July, were associated with patterns of adaptive genetic variation in Chinese wild grape populations. Genotype‐environment association (GEA) analysis identified 346 SNPs significantly associated with temperature‐related climatic factors. Among the corresponding candidate genes, transcriptomic, RT‐qPCR, and biochemical evidence further supported <em>VdCAT1</em> (<em>Vitvi18g00095</em>) as a heat‐responsive candidate, while promoter analysis identified a SNP difference between <em>Vitis davidii</em> and <em>Vitis vinifera</em> that may affect a CTCC <em>cis</em>‐regulatory element and thereby influence <em>VdCAT1</em> expression under heat stress. Meanwhile, we found that the population vulnerability of Chinese wild grapes would markedly increase due to climate warming, particularly in Northeastern China and the Yunnan‐Guizhou region. These findings advanced the understanding of climate-associated variation to local adaptation in Chinese wild grapes, provided a basis for conserving wild grape germplasm and breeding climate‐adaptive cultivars.</div></div>","PeriodicalId":34736,"journal":{"name":"Plant Stress","volume":"23 ","pages":"Article 101526"},"PeriodicalIF":8.1000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant Stress","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667064X26003088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Global climate change threatens grape production, while wild germplasm provides valuable genetic resources for climate resilience. To systematically understand the genetic diversity and climate adaptation of Chinese wild grapes, we integrated population and landscape genomics analyses of 61 accessions. The Northeastern group formed a distinct genetic cluster, whereas most other groups exhibited high genetic diversity, moderate genetic differentiation, and substantial admixture. The temperature‐related variables, particularly annual mean temperature and maximum temperatures in June and July, were associated with patterns of adaptive genetic variation in Chinese wild grape populations. Genotype‐environment association (GEA) analysis identified 346 SNPs significantly associated with temperature‐related climatic factors. Among the corresponding candidate genes, transcriptomic, RT‐qPCR, and biochemical evidence further supported VdCAT1 (Vitvi18g00095) as a heat‐responsive candidate, while promoter analysis identified a SNP difference between Vitis davidii and Vitis vinifera that may affect a CTCC cis‐regulatory element and thereby influence VdCAT1 expression under heat stress. Meanwhile, we found that the population vulnerability of Chinese wild grapes would markedly increase due to climate warming, particularly in Northeastern China and the Yunnan‐Guizhou region. These findings advanced the understanding of climate-associated variation to local adaptation in Chinese wild grapes, provided a basis for conserving wild grape germplasm and breeding climate‐adaptive cultivars.
期刊介绍:
The journal Plant Stress deals with plant (or other photoautotrophs, such as algae, cyanobacteria and lichens) responses to abiotic and biotic stress factors that can result in limited growth and productivity. Such responses can be analyzed and described at a physiological, biochemical and molecular level. Experimental approaches/technologies aiming to improve growth and productivity with a potential for downstream validation under stress conditions will also be considered. Both fundamental and applied research manuscripts are welcome, provided that clear mechanistic hypotheses are made and descriptive approaches are avoided. In addition, high-quality review articles will also be considered, provided they follow a critical approach and stimulate thought for future research avenues.
Plant Stress welcomes high-quality manuscripts related (but not limited) to interactions between plants and:
Lack of water (drought) and excess (flooding),
Salinity stress,
Elevated temperature and/or low temperature (chilling and freezing),
Hypoxia and/or anoxia,
Mineral nutrient excess and/or deficiency,
Heavy metals and/or metalloids,
Plant priming (chemical, biological, physiological, nanomaterial, biostimulant) approaches for improved stress protection,
Viral, phytoplasma, bacterial and fungal plant-pathogen interactions.
The journal welcomes basic and applied research articles, as well as review articles and short communications. All submitted manuscripts will be subject to a thorough peer-reviewing process.