Affiliation:
1. Computational Structural Biology Lab, Department of Biotechnology Indian Institute of Technology Kharagpur Kharagpur India
2. Department of Biotechnology Koneru Lakshmaiah Education Foundation Guntur India
3. Department of Biotechnology Visva‐Bharati Santiniketan India
4. Department of Computer Science and Engineering Birla Institute of Technology Mesra India
Abstract
Abstract
Pigeon pea (Cajanus cajan) is widely cultivated for its nutritional and medicinal value yet remains an orphan crop as productivity has not been improved because of a lack of genome and non‐coding genome information. Non‐coding RNAs, like miRNAs and long non‐coding RNAs (lncRNAs), are involved in regulation of growth, metabolism, development, and stress response, and have a critical role in post‐transcriptional gene regulation (PTGR).
We attempted to elucidate the roles of miRNAs and lncRNAs in pigeon pea through experimental validation of computationally predicted miRNAs and lncRNAs and targets of miRNAs on mRNAs.
We experimentally validated 20 miRNAs and 11 lncRNAs. We predicted cleavage sites of three miRNA targets: serine/threonine‐protein kinase, polygalacturonase, beta‐galactosidase. We identified 469 targets of 265 miRNAs and their functional annotations using computational methods. We built a miRNA‐mRNA‐lncRNA network model, with the miRNAs targeting both mRNAs and lncRNAs, to obtain information on the interplay of these three molecules.
A confirmed interaction through experimental validation was established between miRNA, namely cca‐miR1535a targeting the mRNA for beta‐galactosidase, as well as the lncRNA cca‐lnc‐020033. Our findings increase knowledge of the non‐coding genome of pigeon pea and their roles in PTGR and in improving agronomic traits of this pulse crop.
Funder
Council of Scientific and Industrial Research, India
Cited by
1 articles.
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