通过 QTL 映射和 Omics 分析确定控制玉米籽粒脱水的基因。

IF 4.4 1区 农林科学 Q1 AGRONOMY Theoretical and Applied Genetics Pub Date : 2024-09-26 DOI:10.1007/s00122-024-04715-9
Xining Jin, Xiaoxiang Zhang, Pingxi Wang, Juan Liu, Huaisheng Zhang, Xiangyuan Wu, Rui Song, Zhiyuan Fu, Shilin Chen
{"title":"通过 QTL 映射和 Omics 分析确定控制玉米籽粒脱水的基因。","authors":"Xining Jin, Xiaoxiang Zhang, Pingxi Wang, Juan Liu, Huaisheng Zhang, Xiangyuan Wu, Rui Song, Zhiyuan Fu, Shilin Chen","doi":"10.1007/s00122-024-04715-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Key message: </strong>This study mapped and screened three candidate genes related to kernel dehydration in maize. The slow development rate of maize kernels during later stages leads to high kernel moisture content at harvest, posing a challenge for mechanized maize harvesting in China. This study utilized a recombinant inbred line population derived from Zheng 58 (slow dehydration) and PH6WC (fast dehydration) as parents. After four years of trait investigation and analysis, 25 quantitative trait loci (QTLs) associated with kernel dehydration rate and moisture content were identified, with six QTLs showing a significant contribution value exceeding 10% in the phenotype. Furthermore, a comparison was made between the QTLs identified in this study and those from previous research on maize kernel moisture content and dehydration rate, followed by screening through the omics analysis of the parental lines. Three candidate genes related to kernel dehydration rate were identified, primarily involving carbohydrate metabolism, energy metabolism processes (Zm00001d014030 and Zm00001d006476), and stimulus resistance (Zm00001d040113). These findings provide valuable insights to assist and guide future breeding efforts for mechanical harvesting of maize.</p>","PeriodicalId":22955,"journal":{"name":"Theoretical and Applied Genetics","volume":"137 10","pages":"233"},"PeriodicalIF":4.4000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.\",\"authors\":\"Xining Jin, Xiaoxiang Zhang, Pingxi Wang, Juan Liu, Huaisheng Zhang, Xiangyuan Wu, Rui Song, Zhiyuan Fu, Shilin Chen\",\"doi\":\"10.1007/s00122-024-04715-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Key message: </strong>This study mapped and screened three candidate genes related to kernel dehydration in maize. The slow development rate of maize kernels during later stages leads to high kernel moisture content at harvest, posing a challenge for mechanized maize harvesting in China. This study utilized a recombinant inbred line population derived from Zheng 58 (slow dehydration) and PH6WC (fast dehydration) as parents. After four years of trait investigation and analysis, 25 quantitative trait loci (QTLs) associated with kernel dehydration rate and moisture content were identified, with six QTLs showing a significant contribution value exceeding 10% in the phenotype. Furthermore, a comparison was made between the QTLs identified in this study and those from previous research on maize kernel moisture content and dehydration rate, followed by screening through the omics analysis of the parental lines. Three candidate genes related to kernel dehydration rate were identified, primarily involving carbohydrate metabolism, energy metabolism processes (Zm00001d014030 and Zm00001d006476), and stimulus resistance (Zm00001d040113). These findings provide valuable insights to assist and guide future breeding efforts for mechanical harvesting of maize.</p>\",\"PeriodicalId\":22955,\"journal\":{\"name\":\"Theoretical and Applied Genetics\",\"volume\":\"137 10\",\"pages\":\"233\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theoretical and Applied Genetics\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1007/s00122-024-04715-9\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical and Applied Genetics","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s00122-024-04715-9","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

摘要

关键信息本研究绘制并筛选了三个与玉米籽粒脱水有关的候选基因。玉米后期籽粒发育速度慢,导致收获时籽粒含水量高,给中国玉米机械化收获带来挑战。本研究利用郑58(脱水慢)和PH6WC(脱水快)为亲本的重组近交系群体。经过四年的性状调查和分析,确定了 25 个与籽粒脱水率和水分含量相关的数量性状位点(QTL),其中 6 个 QTL 对表型的显著贡献值超过 10%。此外,通过对亲本品系进行omics分析筛选,将本研究确定的QTL与之前玉米籽粒含水率和脱水率研究中确定的QTL进行了比较。确定了三个与籽粒脱水率有关的候选基因,主要涉及碳水化合物代谢、能量代谢过程(Zm00001d014030 和 Zm00001d006476)和抗刺激性(Zm00001d040113)。这些发现为今后玉米机械收获的育种工作提供了宝贵的帮助和指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.

Key message: This study mapped and screened three candidate genes related to kernel dehydration in maize. The slow development rate of maize kernels during later stages leads to high kernel moisture content at harvest, posing a challenge for mechanized maize harvesting in China. This study utilized a recombinant inbred line population derived from Zheng 58 (slow dehydration) and PH6WC (fast dehydration) as parents. After four years of trait investigation and analysis, 25 quantitative trait loci (QTLs) associated with kernel dehydration rate and moisture content were identified, with six QTLs showing a significant contribution value exceeding 10% in the phenotype. Furthermore, a comparison was made between the QTLs identified in this study and those from previous research on maize kernel moisture content and dehydration rate, followed by screening through the omics analysis of the parental lines. Three candidate genes related to kernel dehydration rate were identified, primarily involving carbohydrate metabolism, energy metabolism processes (Zm00001d014030 and Zm00001d006476), and stimulus resistance (Zm00001d040113). These findings provide valuable insights to assist and guide future breeding efforts for mechanical harvesting of maize.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.60
自引率
7.40%
发文量
241
审稿时长
2.3 months
期刊介绍: Theoretical and Applied Genetics publishes original research and review articles in all key areas of modern plant genetics, plant genomics and plant biotechnology. All work needs to have a clear genetic component and significant impact on plant breeding. Theoretical considerations are only accepted in combination with new experimental data and/or if they indicate a relevant application in plant genetics or breeding. Emphasizing the practical, the journal focuses on research into leading crop plants and articles presenting innovative approaches.
期刊最新文献
QTL-seq and QTL mapping identify a new locus for Cercospora leaf spot (Cercospora canescens) resistance in mungbean (Vigna radiata) and a cluster of Receptor-like protein 12 (RLP12) genes as candidate genes for the resistance. An eight-founder wheat MAGIC population allows fine-mapping of flowering time loci and provides novel insights into the genetic control of flowering time. Cytological mapping of a powdery mildew resistance locus PmRc1 based on wheat-Roegneria ciliaris structural rearrangement library. Exploiting light energy utilization strategies in Populus simonii through multitrait-GWAS: insights from stochastic differential models. Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance.
×
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:481959085
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