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Genome wide in-silico miRNA and target network prediction from stress responsive Horsegram (Macrotyloma uniflorum) accessions

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Title Genome wide in-silico miRNA and target network prediction from stress responsive Horsegram (Macrotyloma uniflorum) accessions
 
Creator Jeshima Khan Yasin
B K Mishra
M. Arumugam Pillai
Nidhi Verma
Shabir H. Wani
H.O. Elansary
D.O. El-Ansary
P. S. Pandey
Viswanathan Chinnusamy
 
Subject Genomics
Bioinformatics
physiology
crop improvement
ncRNA
 
Description Not Available
Horsegram (Macrotyloma uniflorum (Lam.) Verdc.) is a drought hardy food and fodder legume of Indo-African continents with diverse germplasm sources demonstrating alternating mechanisms depicting contrasting adaptations to different climatic zones. Tissue specific expression of genes contributes substantially to location specific adaptations. Regulatory networks of such adaptive genes are elucidated for downstream translational research. MicroRNAs are small endogenous regulatory RNAs which alters the gene expression profiles at a particular time and type of tissue. Identification of such small regulatory RNAs in low moisture stress hardy crops can help in cross species transfer and validation confirming stress tolerance ability. This study outlined prediction of conserved miRNAs from transcriptome shotgun assembled sequences and EST sequences of horsegram. We could validate eight out of 15 of the identified miRNAs to demonstrate their role in deficit moisture stress tolerance mechanism of horsegram variety Paiyur1 with their target networks. The putative mumiRs were related to other food legumes indicating the presence of gene regulatory networks. Differential miRNA expression among drought specific tissues indicted the probable energy conservation mechanism. Targets were identified for functional characterization and regulatory network was constructed to find out the probable pathways of post-transcriptional regulation. The functional network revealed mechanism of biotic and abiotic stress tolerance, energy conservation and photoperiod responsiveness.
Not Available
 
Date 2021-02-02T16:19:22Z
2021-02-02T16:19:22Z
2020-10-14
 
Type Research Paper
 
Identifier Jeshima Khan Yasin, B K Mishra, M. A. Pillai, Nidhi Verma, S. H. Wani, H.O. Elansary, D.O. El-Ansary, P. S. Pandey, Viswanathan Chinnusamy.2020.Genome wide in-silico miRNA and target network prediction from stress responsive Horsegram (Macrotyloma uniflorum) accessions. Scientific Reports.10: 17203.
DOI: 10.1038/s41598-020-73140-x
http://krishi.icar.gov.in/jspui/handle/123456789/45216
 
Language English
 
Relation Not Available;
 
Publisher Scientific Reports , Nature research