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RiceMetaSys:干旱-miR,一个一站式的水稻干旱响应 miRNA-mRNA 模块解决方案。

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

机构信息

ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India.

The Graduate School, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi 110012, India.

出版信息

Database (Oxford). 2024 Aug 21;2024. doi: 10.1093/database/baae076.

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/.

摘要

microRNAs 是参与植物应激反应的关键因子,已有报道称 miRNA 在水稻干旱胁迫反应中发挥作用。本研究基于公开 sRNA 数据集的元分析,开发了一个数据库 RiceMetaSys: Drought-miR。从 28 个干旱胁迫特异性 sRNA 数据集,我们鉴定了 216 个干旱响应 miRNA(DRMs)。该数据库的主要特点包括基因型、组织和 miRNA ID 特异性搜索选项,以及比较基因型以鉴定共同 miRNA。DRMs 与已知数量性状位点(QTLs)的共定位,即与不同干旱适应性状相关的水稻耐旱性的元 QTL 区域,将其缩小到 37 个有希望的 DRM。为了鉴定 DRM 在干旱胁迫下的高置信度靶基因,使用降解组数据集和干旱响应基因的网络资源(RiceMetaSys: DRG)。在 216 个独特的 DRM 中,只有 193 个具有高严格参数的靶基因。在降解组数据集鉴定的 1081 个靶基因中,730 个在至少一个品种中显示出干旱胁迫下的差异表达。为了检索靶基因的完整信息,该数据库与 RiceMetaSys: DRG 链接。此外,我们还通过添加从五个水稻基因型的 RNA-seq 数据集鉴定的 DRGs,对早期开发的 RiceMetaSys: DRGv1 进行了更新。我们还采用严格标准鉴定了 759 个假定的新 miRNA 及其靶基因。新 miRNA 搜索具有所有已知 miRNA 的搜索选项,此外,它还提供了关于其计算机验证特征的信息。还为 miRNA 及其靶基因设计并提供了简单重复序列标记。靶基因的网络分析确定了 60 个主要通过脱落酸途径和茉莉酸途径起作用的枢纽基因。枢纽基因与控制耐旱性的元 QTL 区域的共定位将其缩小到 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/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/202e/11338179/5d846c267f5a/baae076f1.jpg

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