Multi-locus genome-wide association study reveal genomic regions underlying root system architecture traits in Ethiopian sorghum germplasm.

IF 3.9 2区 生物学 Q1 GENETICS & HEREDITY Plant Genome Pub Date : 2024-06-01 Epub Date: 2024-02-15 DOI:10.1002/tpg2.20436
Masarat Elias, Diriba Chere, Dagnachew Lule, Desalegn Serba, Alemu Tirfessa, Dandena Gelmesa, Tesfaye Tesso, Kassahun Bantte, Temesgen M Menamo
{"title":"Multi-locus genome-wide association study reveal genomic regions underlying root system architecture traits in Ethiopian sorghum germplasm.","authors":"Masarat Elias, Diriba Chere, Dagnachew Lule, Desalegn Serba, Alemu Tirfessa, Dandena Gelmesa, Tesfaye Tesso, Kassahun Bantte, Temesgen M Menamo","doi":"10.1002/tpg2.20436","DOIUrl":null,"url":null,"abstract":"<p><p>The identification of genomic regions underlying the root system architecture (RSA) is vital for improving crop abiotic stress tolerance. To improve sorghum (Sorghum bicolor L. Moench) for environmental stress tolerance, information on genetic variability and genomic regions linked to RSA traits is paramount. The aim of this study was, therefore, to investigate common quantitative trait nucleotides (QTNs) via multiple methodologies and identify genomic regions linked to RSA traits in a panel of 274 Ethiopian sorghum accessions. Multi-locus genome-wide association study was conducted using 265,944 high-quality single nucleotide polymorphism markers. Considering the QTN detected by at least three different methods, a total of 17 reliable QTNs were found to be significantly associated with root angle, number, length, and dry weight. Four QTNs were detected on chromosome SBI-05, followed by SBI-01 and SBI-02 with three QTNs each. Among the 17 QTNs, 11 are colocated with previously identified root traits quantitative trait loci and the remaining six are genome regions with novel genes. A total of 118 genes are colocated with these up- and down-streams of the QTNs. Moreover, five QTNs were found intragenic. These QTNs are S5_8994835 (number of nodal roots), S10_55702393 (number of nodal roots), S1_56872999 (nodal root angle), S9_1212069 (nodal root angle), and S5_5667192 (root dry weight) intragenic regions of Sobic.005G073101, Sobic.010G198000, Sobic.001G273000, Sobic.009G013600, and Sobic.005G054700, respectively. Particularly, Sobic.005G073101, Sobic.010G198000, and Sobic.009G013600 were found responsible for the plant growth hormone-induced RSA. These genes may regulate root development in the seedling stage. Further analysis on these genes might be important to explore the genetic structure of RSA of sorghum.</p>","PeriodicalId":49002,"journal":{"name":"Plant Genome","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant Genome","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/tpg2.20436","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

The identification of genomic regions underlying the root system architecture (RSA) is vital for improving crop abiotic stress tolerance. To improve sorghum (Sorghum bicolor L. Moench) for environmental stress tolerance, information on genetic variability and genomic regions linked to RSA traits is paramount. The aim of this study was, therefore, to investigate common quantitative trait nucleotides (QTNs) via multiple methodologies and identify genomic regions linked to RSA traits in a panel of 274 Ethiopian sorghum accessions. Multi-locus genome-wide association study was conducted using 265,944 high-quality single nucleotide polymorphism markers. Considering the QTN detected by at least three different methods, a total of 17 reliable QTNs were found to be significantly associated with root angle, number, length, and dry weight. Four QTNs were detected on chromosome SBI-05, followed by SBI-01 and SBI-02 with three QTNs each. Among the 17 QTNs, 11 are colocated with previously identified root traits quantitative trait loci and the remaining six are genome regions with novel genes. A total of 118 genes are colocated with these up- and down-streams of the QTNs. Moreover, five QTNs were found intragenic. These QTNs are S5_8994835 (number of nodal roots), S10_55702393 (number of nodal roots), S1_56872999 (nodal root angle), S9_1212069 (nodal root angle), and S5_5667192 (root dry weight) intragenic regions of Sobic.005G073101, Sobic.010G198000, Sobic.001G273000, Sobic.009G013600, and Sobic.005G054700, respectively. Particularly, Sobic.005G073101, Sobic.010G198000, and Sobic.009G013600 were found responsible for the plant growth hormone-induced RSA. These genes may regulate root development in the seedling stage. Further analysis on these genes might be important to explore the genetic structure of RSA of sorghum.

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
多焦点全基因组关联研究揭示了埃塞俄比亚高粱种质根系结构性状的基因组区域。
根系结构(RSA)基因组区域的鉴定对于提高作物的非生物胁迫耐受性至关重要。为了提高高粱(Sorghum bicolor L. Moench)对环境胁迫的耐受性,遗传变异和与 RSA 性状相关的基因组区域的信息至关重要。因此,本研究旨在通过多种方法调查共同的数量性状核苷酸(QTNs),并在 274 个埃塞俄比亚高粱品种中确定与 RSA 性状相关的基因组区域。利用 265 944 个高质量单核苷酸多态性标记进行了多焦点全基因组关联研究。考虑到通过至少三种不同方法检测到的 QTN,共发现 17 个可靠的 QTN 与根的角度、数量、长度和干重显著相关。在染色体 SBI-05 上检测到 4 个 QTN,其次是 SBI-01 和 SBI-02,各有 3 个 QTN。在这 17 个 QTNs 中,有 11 个与之前确定的根系性状数量性状位点同位,其余 6 个是带有新基因的基因组区域。共有 118 个基因与这些 QTN 的上下游共位。此外,还发现了五个 QTNs 的内基因。这些 QTN 分别是 S5_8994835(节根数)、S10_55702393(节根数)、S1_56872999(节根角)、S9_1212069(节根角)和 S5_5667192(根干重)。G073101、Sobic.010G198000、Sobic.001G273000、Sobic.009G013600 和 Sobic.005G054700 的基因内区。其中,Sobic.005G073101、Sobic.010G198000 和 Sobic.009G013600 对植物生长素诱导的 RSA 负有责任。这些基因可能调控幼苗期的根系发育。对这些基因的进一步分析可能对探索高粱 RSA 的遗传结构具有重要意义。
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
Plant Genome
Plant Genome PLANT SCIENCES-GENETICS & HEREDITY
CiteScore
6.00
自引率
4.80%
发文量
93
审稿时长
>12 weeks
期刊介绍: The Plant Genome publishes original research investigating all aspects of plant genomics. Technical breakthroughs reporting improvements in the efficiency and speed of acquiring and interpreting plant genomics data are welcome. The editorial board gives preference to novel reports that use innovative genomic applications that advance our understanding of plant biology that may have applications to crop improvement. The journal also publishes invited review articles and perspectives that offer insight and commentary on recent advances in genomics and their potential for agronomic improvement.
期刊最新文献
Genome-wide association study uncovers pea candidate genes and metabolic pathways involved in rust resistance. Introducing CHiDO-A No Code Genomic Prediction software implementation for the characterization and integration of driven omics. Studies of genetic diversity and genome-wide association for vitamin C content in lettuce (Lactuca sativa L.) using high-throughput SNP arrays. Translating weighted probabilistic bits to synthetic genetic circuits. Functional analysis of PagERF021 gene in salt stress tolerance in Populus alba × P. glandulosa.
×
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