RiceMetaSys: Drought-miR, a one-stop solution for drought responsive miRNAs-mRNA module in rice.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Deepesh Kumar, SureshKumar Venkadesan, Ratna Prabha, Shbana Begam, Bipratip Dutta, Dwijesh C Mishra, K K Chaturvedi, Girish Kumar Jha, Amolkumar U Solanke, Amitha Mithra Sevanthi
{"title":"RiceMetaSys: Drought-miR, a one-stop solution for drought responsive miRNAs-mRNA module in rice.","authors":"Deepesh Kumar, SureshKumar Venkadesan, Ratna Prabha, Shbana Begam, Bipratip Dutta, Dwijesh C Mishra, K K Chaturvedi, Girish Kumar Jha, Amolkumar U Solanke, Amitha Mithra Sevanthi","doi":"10.1093/database/baae076","DOIUrl":null,"url":null,"abstract":"<p><p>MicroRNAs are key players involved in stress responses in plants and reports are available on the role of miRNAs in drought stress response in rice. This work reports the development of a database, RiceMetaSys: Drought-miR, based on the meta-analysis of publicly available sRNA datasets. From 28 drought stress-specific sRNA datasets, we identified 216 drought-responsive miRNAs (DRMs). The major features of the database include genotype-, tissue- and miRNA ID-specific search options and comparison of genotypes to identify common miRNAs. Co-localization of the DRMs with the known quantitative trait loci (QTLs), i.e., meta-QTL regions governing drought tolerance in rice pertaining to different drought adaptive traits, narrowed down this to 37 promising DRMs. To identify the high confidence target genes of DRMs under drought stress, degradome datasets and web resource on drought-responsive genes (RiceMetaSys: DRG) were used. Out of the 216 unique DRMs, only 193 had targets with high stringent parameters. Out of the 1081 target genes identified by Degradome datasets, 730 showed differential expression under drought stress in at least one accession. To retrieve complete information on the target genes, the database has been linked with RiceMetaSys: DRG. Further, we updated the RiceMetaSys: DRGv1 developed earlier with the addition of DRGs identified from RNA-seq datasets from five rice genotypes. We also identified 759 putative novel miRNAs and their target genes employing stringent criteria. Novel miRNA search has all the search options of known miRNAs and additionally, it gives information on their in silico validation features. Simple sequence repeat markers for both the miRNAs and their target genes have also been designed and made available in the database. Network analysis of the target genes identified 60 hub genes which primarily act through abscisic acid pathway and jasmonic acid pathway. Co-localization of the hub genes with the meta-QTL regions governing drought tolerance narrowed down this to 16 most promising DRGs. Database URL: http://14.139.229.201/RiceMetaSys_miRNA Updated database of RiceMetaSys URL: http://14.139.229.201/RiceMetaSysA/Drought/.</p>","PeriodicalId":10923,"journal":{"name":"Database: The Journal of Biological Databases and Curation","volume":"2024 ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11338179/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Database: The Journal of Biological Databases and Curation","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/database/baae076","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

MicroRNAs are key players involved in stress responses in plants and reports are available on the role of miRNAs in drought stress response in rice. This work reports the development of a database, RiceMetaSys: Drought-miR, based on the meta-analysis of publicly available sRNA datasets. From 28 drought stress-specific sRNA datasets, we identified 216 drought-responsive miRNAs (DRMs). The major features of the database include genotype-, tissue- and miRNA ID-specific search options and comparison of genotypes to identify common miRNAs. Co-localization of the DRMs with the known quantitative trait loci (QTLs), i.e., meta-QTL regions governing drought tolerance in rice pertaining to different drought adaptive traits, narrowed down this to 37 promising DRMs. To identify the high confidence target genes of DRMs under drought stress, degradome datasets and web resource on drought-responsive genes (RiceMetaSys: DRG) were used. Out of the 216 unique DRMs, only 193 had targets with high stringent parameters. Out of the 1081 target genes identified by Degradome datasets, 730 showed differential expression under drought stress in at least one accession. To retrieve complete information on the target genes, the database has been linked with RiceMetaSys: DRG. Further, we updated the RiceMetaSys: DRGv1 developed earlier with the addition of DRGs identified from RNA-seq datasets from five rice genotypes. We also identified 759 putative novel miRNAs and their target genes employing stringent criteria. Novel miRNA search has all the search options of known miRNAs and additionally, it gives information on their in silico validation features. Simple sequence repeat markers for both the miRNAs and their target genes have also been designed and made available in the database. Network analysis of the target genes identified 60 hub genes which primarily act through abscisic acid pathway and jasmonic acid pathway. Co-localization of the hub genes with the meta-QTL regions governing drought tolerance narrowed down this to 16 most promising DRGs. Database URL: http://14.139.229.201/RiceMetaSys_miRNA Updated database of RiceMetaSys URL: http://14.139.229.201/RiceMetaSysA/Drought/.

RiceMetaSys:Drought-miR,水稻干旱响应 miRNAs-mRNA 模块的一站式解决方案。
微RNA是参与植物胁迫响应的关键因子,目前已有关于miRNA在水稻干旱胁迫响应中的作用的报道。这项工作报告了一个数据库的开发情况,即 RiceMetaSys:Drought-miR 数据库。我们从 28 个干旱胁迫特异性 sRNA 数据集中鉴定出 216 个干旱响应 miRNA(DRMs)。该数据库的主要特点包括针对基因型、组织和 miRNA ID 的搜索选项,以及比较基因型以确定常见的 miRNA。将 DRMs 与已知的数量性状位点(QTLs)(即与不同干旱适应性性状有关的支配水稻耐旱性的元 QTL 区域)共定位后,将 DRMs 的范围缩小到 37 个有希望的 DRMs。为了确定干旱胁迫下 DRMs 的高置信度靶基因,研究人员使用了降解组数据集和干旱响应基因网络资源(RiceMetaSys:DRG)。在 216 个独特的 DRMs 中,只有 193 个具有高严格参数的目标基因。在 Degradome 数据集确定的 1081 个靶基因中,有 730 个在干旱胁迫下至少在一个品种中表现出差异表达。为了检索目标基因的完整信息,该数据库已与 RiceMetaSys:DRG 链接。此外,我们还更新了早先开发的 RiceMetaSys:DRGv1,增加了从五个水稻基因型的 RNA-seq 数据集中鉴定出的 DRGs。我们还采用严格的标准鉴定了 759 个推测的新型 miRNA 及其靶基因。新型 miRNA 搜索具有已知 miRNA 的所有搜索选项,此外,它还提供了有关其硅验证特征的信息。数据库还设计并提供了 miRNA 及其靶基因的简单序列重复标记。目标基因网络分析确定了 60 个主要通过脱落酸途径和茉莉酸途径发挥作用的中心基因。中心基因与支配耐旱性的元 QTL 区域的共定位将范围缩小到 16 个最有希望的 DRGs。数据库网址:http://14.139.229.201/RiceMetaSys_miRNA 更新的RiceMetaSys数据库网址:http://14.139.229.201/RiceMetaSysA/Drought/。
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 求助全文
来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信