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

Author:

Kumar Deepesh12,Venkadesan SureshKumar1ORCID,Prabha Ratna3,Begam Shbana1,Dutta Bipratip12,Mishra Dwijesh C4,Chaturvedi K K4,Jha Girish Kumar4,Solanke Amolkumar U1,Sevanthi Amitha Mithra1ORCID

Affiliation:

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

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

3. AKMU, ICAR-Indian Agricultural Research Institute , Pusa Campus, New Delhi 110012, India

4. ICAR-Indian Agricultural Statistics Research Institute , Pusa Campus, New Delhi 110012, India

Abstract

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/

Funder

Centre for Agricultural Bioinformatics

Publisher

Oxford University Press (OUP)

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