1
|
Yadav S, Yadava YK, Kohli D, Meena S, Kalwan G, Bharadwaj C, Gaikwad K, Arora A, Jain PK. Genome-wide identification, in silico characterization and expression analysis of the RNA helicase gene family in chickpea (C. arietinum L.). Sci Rep 2022; 12:9778. [PMID: 35697711 PMCID: PMC9192698 DOI: 10.1038/s41598-022-13823-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/27/2022] [Indexed: 11/18/2022] Open
Abstract
The RNA helicases are an important class of enzymes which are known to influence almost every aspect of RNA metabolism. The majority of RNA helicases belong to the SF2 (superfamily 2) superfamily, members of which are further categorized into three separate subfamilies i.e., the DEAD, DEAH and DExD/H-box subfamilies. In chickpea, these RNA helicases have not been characterized until now. A genome-wide analysis across the chickpea genome led to the identification of a total of 150 RNA helicase genes which included 50 DEAD, 33 DEAH and 67 DExD/H-box genes. These were distributed across all the eight chromosomes, with highest number on chromosome 4 (26) and least on chromosome 8 (8). Gene duplication analysis resulted in identification of 15 paralogous gene pairs with Ka/Ks values < 1, indicating towards the genes being under purifying selection during the course of evolution. The promoter regions of the RNA helicase genes were enriched in cis-acting elements like the light and ABA-responsive elements. The drought responsiveness of the genes was analysed by studying the expression profiles of few of these genes, in two different genotypes, the cultivated variety ICC 8261 (kabuli, C. arietinum) and the wild accession ILWC 292 (C. reticulatum), through qRT-PCR. These genotypes were selected based on their drought responsiveness in a field experiment, where it was observed that the percentage (%) reduction in relative water content (RWC) and membrane stability index (MSI) for the drought stressed plants after withholding water for 24 days, over the control or well-watered plants, was least for both the genotypes. The genes CaDEAD50 and CaDExD/H66 were identified as drought-responsive RNA helicase genes in chickpea. The protein encoded by the CaDExD/H66 gene shares a high degree of homology with one of the CLSY (CLASSY) proteins of A. thaliana. We hypothesize that this gene could possibly be involved in regulation of DNA methylation levels in chickpea by regulating siRNA production, in conjunction with other proteins like the Argonaute, RNA dependent RNA polymerases and Dicer-like proteins.
Collapse
Affiliation(s)
- Sheel Yadav
- ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India
| | - Yashwant K Yadava
- ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India
| | - Deshika Kohli
- ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India
| | - Shashi Meena
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Gopal Kalwan
- ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India
| | - C Bharadwaj
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Kishor Gaikwad
- ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India
| | - Ajay Arora
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - P K Jain
- ICAR-National Institute for Plant Biotechnology, New Delhi, 110012, India.
| |
Collapse
|
2
|
Shukla B, Gupta S, Srivastava G, Sharma A, Shukla AK, Shasany AK. lncRNADetector: a bioinformatics pipeline for long non-coding RNA identification and MAPslnc: a repository of medicinal and aromatic plant lncRNAs. RNA Biol 2021; 18:2290-2295. [PMID: 33685383 DOI: 10.1080/15476286.2021.1899673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are an emerging class of non-coding RNAs and potent regulatory elements in the living cells. High throughput RNA sequencing analyses have generated a tremendous amount of transcript sequence data. A large proportion of these transcript sequences does not code for proteins and are known as non-coding RNAs. Among them, lncRNAs are a unique class of transcripts longer than 200 nucleotides with diverse biological functions and regulatory mechanisms. Recent emerging studies and next-generation sequencing technologies show a substantial amount of lncRNAs within the plant genome, which are yet to be identified. The computational identification of lncRNAs from these transcripts is a challenging task due to the involvement of a series of filtering steps. We have developed lncRNADetector, a bioinformatics pipeline for the identification of novel lncRNAs, especially from medicinal and aromatic plant (MAP) species. The lncRNADetector has been utilized to analyse and identify more than 88,459 lncRNAs from 21 species of MAPs. To provide a knowledge resource for the plant research community towards elucidating the diversity of biological roles of lncRNAs, the information generated about MAP lncRNAs (post-filtering steps) through lncRNADetector has been stored and organized in MAPslnc database (MAPslnc, https://lncrnapipe.cimap.res.in). The lncRNADetector web server and MAPslnc database have been developed in order to facilitate researchers for accurate identification of lncRNAs from the next-generation sequencing data of different organisms for downstream studies. To the best of our knowledge no such MAPslnc database is available till date.
Collapse
Affiliation(s)
- Bhaskar Shukla
- Information and Communication Technology Department, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Sanchita Gupta
- CSIR-National Botanical Research Institute, Lucknow, India
| | - Gaurava Srivastava
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.,Biotechnology Division, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow, India
| | - Ashok Sharma
- Information and Communication Technology Department, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow, India.,Biotechnology Division, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow, India
| | - Ashutosh K Shukla
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.,Biotechnology Division, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow, India
| | - Ajit K Shasany
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.,Biotechnology Division, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow, India
| |
Collapse
|