Unraveling the genetic basis of heat tolerance and yield in bread wheat: QTN discovery and Its KASP-assisted validation.

IF 4.8 2区 生物学 Q1 PLANT SCIENCES BMC Plant Biology Pub Date : 2025-03-01 DOI:10.1186/s12870-025-06285-4
Latief Bashir, Neeraj Budhlakoti, Anjan Kumar Pradhan, Azhar Mehmood, Mahin Haque, Sherry R Jacob, Rakesh Bhardwaj, Kiran Gaikwad, Dwijesh Chandra Mishra, Satinder Kaur, Pradeep Kumar Bhati, G P Singh, Sundeep Kumar
{"title":"Unraveling the genetic basis of heat tolerance and yield in bread wheat: QTN discovery and Its KASP-assisted validation.","authors":"Latief Bashir, Neeraj Budhlakoti, Anjan Kumar Pradhan, Azhar Mehmood, Mahin Haque, Sherry R Jacob, Rakesh Bhardwaj, Kiran Gaikwad, Dwijesh Chandra Mishra, Satinder Kaur, Pradeep Kumar Bhati, G P Singh, Sundeep Kumar","doi":"10.1186/s12870-025-06285-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Wheat (Triticum aestivum L.), a globally significant cereal crop and staple food, faces major production challenges due to abiotic stresses such as heat stress (HS), which pose a threat to global food security. To address this, a diverse panel of 126 wheat genotypes, primarily landraces, was evaluated across twelve environments in India, comprising of three locations, two years and two growing conditions. The study aimed to identify genetic markers associated with key agronomic traits in bread wheat, including germination percentage (GERM_PCT), ground cover (GC), days to booting (DTB), days to heading (DTHD), days to flowering (DTFL), days to maturity (DTMT), plant height (PH), grain yield (GYLD), thousand grain weight (TGW), and the normalized difference vegetation index (NDVI) under both timely and late-sown conditions using 35 K SNP genotyping assays. Multi-locus GWAS (ML-GWAS) was employed to detect significant marker-trait associations, and the identified markers were further validated using Kompetitive Allele Specific PCR (KASP).</p><p><strong>Results: </strong>Six ML-GWAS models were employed for this purpose, leading to the identification of 42 highly significant and consistent quantitative trait nucleotides (QTNs) under both timely and late sown conditions, controlled by 20 SNPs, explaining 3-58% of the total phenotypic variation. Among these, noteworthy QTNs were a major grain yield QTN (qtn_nbpgr_GYLD_3B) on chromosome 3B, a pleiotropic SNP AX-95018072 on chromosome 7A influencing phenology and NDVI, and robust TGW QTNs on chromosomes 2B (qtn_nbpgr_TGW_2B), 1A (qtn_nbpgr_TGW_1A), and 4B (qtn_nbpgr_TGW_4B). Furthermore, annotation revealed that candidate genes near these QTNs encoded stress-responsive proteins, such as chaperonins, glycosyl hydrolases, and signaling molecules. Additionally, three major SNPs AX-95018072 (7A), AX-94946941 (6B), and AX-95232570 (1B) were successfully validated using KASP assay.</p><p><strong>Conclusion: </strong>Our study effectively uncovered novel QTNs and candidate genes linked to heat tolerance and yield-related traits in wheat through an extensive genetic approaches. These QTNs not only corresponded with previously identified QTLs and genes associated with yield traits but also highlighted several new loci, broadening the existing genetic understanding. These findings provide valuable insights into the genetic basis of heat tolerance in wheat and offer genomic resources, including validated markers that could accelerate marker-assisted breeding and the development of next-generation heat-resilient cultivars.</p>","PeriodicalId":9198,"journal":{"name":"BMC Plant Biology","volume":"25 1","pages":"268"},"PeriodicalIF":4.8000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11871653/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Plant Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12870-025-06285-4","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Wheat (Triticum aestivum L.), a globally significant cereal crop and staple food, faces major production challenges due to abiotic stresses such as heat stress (HS), which pose a threat to global food security. To address this, a diverse panel of 126 wheat genotypes, primarily landraces, was evaluated across twelve environments in India, comprising of three locations, two years and two growing conditions. The study aimed to identify genetic markers associated with key agronomic traits in bread wheat, including germination percentage (GERM_PCT), ground cover (GC), days to booting (DTB), days to heading (DTHD), days to flowering (DTFL), days to maturity (DTMT), plant height (PH), grain yield (GYLD), thousand grain weight (TGW), and the normalized difference vegetation index (NDVI) under both timely and late-sown conditions using 35 K SNP genotyping assays. Multi-locus GWAS (ML-GWAS) was employed to detect significant marker-trait associations, and the identified markers were further validated using Kompetitive Allele Specific PCR (KASP).

Results: Six ML-GWAS models were employed for this purpose, leading to the identification of 42 highly significant and consistent quantitative trait nucleotides (QTNs) under both timely and late sown conditions, controlled by 20 SNPs, explaining 3-58% of the total phenotypic variation. Among these, noteworthy QTNs were a major grain yield QTN (qtn_nbpgr_GYLD_3B) on chromosome 3B, a pleiotropic SNP AX-95018072 on chromosome 7A influencing phenology and NDVI, and robust TGW QTNs on chromosomes 2B (qtn_nbpgr_TGW_2B), 1A (qtn_nbpgr_TGW_1A), and 4B (qtn_nbpgr_TGW_4B). Furthermore, annotation revealed that candidate genes near these QTNs encoded stress-responsive proteins, such as chaperonins, glycosyl hydrolases, and signaling molecules. Additionally, three major SNPs AX-95018072 (7A), AX-94946941 (6B), and AX-95232570 (1B) were successfully validated using KASP assay.

Conclusion: Our study effectively uncovered novel QTNs and candidate genes linked to heat tolerance and yield-related traits in wheat through an extensive genetic approaches. These QTNs not only corresponded with previously identified QTLs and genes associated with yield traits but also highlighted several new loci, broadening the existing genetic understanding. These findings provide valuable insights into the genetic basis of heat tolerance in wheat and offer genomic resources, including validated markers that could accelerate marker-assisted breeding and the development of next-generation heat-resilient cultivars.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
揭示面包小麦耐热性和产量的遗传基础:QTN 发现及其 KASP 辅助验证。
背景:小麦(Triticum aestivum L.)作为全球重要的谷类作物和主食,由于热胁迫(HS)等非生物胁迫对全球粮食安全构成威胁,其生产面临重大挑战。为了解决这个问题,一个由126种小麦基因型组成的多样化小组,主要是地方品种,在印度的12个环境中进行了评估,包括三个地点,两年和两种生长条件。本研究旨在利用35 K SNP基因分型技术,鉴定与面包小麦发芽率(GERM_PCT)、土地覆被(GC)、孕穗期(DTB)、抽穗期(DTHD)、开花期(DTFL)、成熟期(DTMT)、株高(PH)、产量(GYLD)、千粒重(TGW)和归一化植被指数(NDVI)相关的关键农艺性状遗传标记。采用多位点GWAS (ML-GWAS)检测标记与性状之间的显著相关性,并利用竞争等位基因特异性PCR (competitive Allele Specific PCR, KASP)进一步验证鉴定的标记。结果:利用6个ML-GWAS模型,鉴定出42个在播时和播后条件下高度显著且一致的数量性状核苷酸(QTNs),由20个snp控制,解释了总表型变异的3-58%。其中,值得注意的QTNs是3B染色体上的主要产量QTN (qtn_nbpgr_GYLD_3B), 7A染色体上影响物物学和NDVI的多效SNP AX-95018072,以及2B染色体(qtn_nbpgr_TGW_2B)、1A染色体(qtn_nbpgr_TGW_1A)和4B染色体(qtn_nbpgr_TGW_4B)上的强效TGW QTNs。此外,注释显示这些QTNs附近的候选基因编码应激反应蛋白,如伴侣蛋白、糖基水解酶和信号分子。此外,三个主要snp AX-95018072 (7A)、AX-94946941 (6B)和AX-95232570 (1B)通过KASP试验成功验证。结论:本研究通过广泛的遗传方法有效地揭示了小麦耐热性和产量相关性状的新qtn和候选基因。这些QTNs不仅与先前发现的qtl和与产量性状相关的基因相对应,而且突出了几个新的位点,拓宽了现有的遗传认识。这些发现为小麦耐热性的遗传基础提供了有价值的见解,并提供了基因组资源,包括可加速标记辅助育种和下一代耐热品种开发的经过验证的标记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
BMC Plant Biology
BMC Plant Biology 生物-植物科学
CiteScore
8.40
自引率
3.80%
发文量
539
审稿时长
3.8 months
期刊介绍: BMC Plant Biology is an open access, peer-reviewed journal that considers articles on all aspects of plant biology, including molecular, cellular, tissue, organ and whole organism research.
期刊最新文献
Comprehensive evaluation and climate response analysis of Ginkgo biloba Linn. wood properties across different regions. Reconciling canopy light interception and photosynthetic efficiency to optimize source-sink coordination and yield formation in winter wheat. Multi-omics prediction of terpene constituents and phenolic traits in Eucalyptus globulus using Bayesian models and tree-based machine learning. Transcriptional signatures of salinity tolerance in Egyptian wheat: unveiling WRKY-mediated defense mechanisms. Variations of terpenes profiling and functional characterization of terpene synthases in Agrimonia pilosa.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1