Mungbean Yellow Mosaic India Virus (MYMIV)-infection creates major hindrance in V . mungo cultivation and poses significant threat to other grain legume production. Symptoms associated include severe patho-physiological alterations characterized by chlorotic foliar lesion accompanied by reduced growth. However, dissection of the host’s defense machinery remains a tough challenge due to limited of host’s genomic resources. A comparative RNA-Seq transcriptomes of resistant (VM84) and susceptible (T9) plants was carried out to identify genes potentially involved in V . mungo resistance against MYMIV. Distinct gene expression landscapes were observed in VM84 and T9 with 2158 and 1679 differentially expressed genes (DEGs), respectively. Transcriptomic responses in VM84 reflect a prompt and intense immune reaction demonstrating an efficient pathogen surveillance leading to activation of basal and induced immune responses. Functional analysis of the altered DEGs identified multiple regulatory pathways to be activated or repressed over time. Up-regulation of DEGs including NB-LRR, WRKY33, ankyrin, argonaute and NAC transcription factor revealed an insight on their potential roles in MYMIV-resistance; and qPCR validation shows a propensity of their accumulation in VM84. Analyses of the current RNA-Seq dataset contribute immensely to decipher molecular responses that underlie MYMIV-resistance and will aid in the improvement strategy of V . mungo and other legumes through comparative functional genomics.

Mungbean Yellow Mosaic Virus (MYMIV) is the viral pathogen that causes yellow mosaic disease to a number of legumes including Vigna mungo. VM84 is a recombinant inbred line resistant to MYMIV, developed in our laboratory through introgression of resistance trait from V. mungo line VM-1. Here we present the quality control passed transcriptome data of mock inoculated (control) and MYMIV-infected VM84, those have already been submitted in Sequence Read Archive (SRX1032950, SRX1082731) of NCBI. QC reports of FASTQ files generated by ‘SeqQC V2.2’ bioinformatics tool.

No abstract

This study reports the root endophytic microbial community profile in rice (Oryza sativa L.), the largest food crop of Asia, using 16S rRNA gene amplicon sequencing. Metagenome of OS01 and OS04 consisted of 11,17,900 sequences with 300 Mbp size and average 55.6% G + C content. Data of this study are available at NCBI Bioproject (PRJNA360379). The taxonomic analysis of 843 OTU's showed that the sequences belonged to four major phyla revealing dominance of Proteobacteria, Firmicutes, Cyanobacteria and Actinobacteria. Results reveal the dominance of Bacillus as major endophytic genera in rice roots, probably playing a key role in Nitrogen fixation.

This study reports the analyses of the rhizospheric microbiome of the terrestrial mangrove fern Acrostichum aureum Linn. from the Indian Sunderbans. Samples were collected using standard protocols and 16S rRNA gene V3–V4 region amplicon sequencing was performed to identify the microbial communities prevalent in the rhizosphere. A total of 1,931,252 quality checked reads were assembled into 204,818 contigs and were analysed using QIIME to reveal the abundance of Proteobacteria, Acidobacteria and Planctomycetes. The data is available at the NCBI - Sequence Read Archive with accession number: SRX2660456. This is the first report of the rhizospheric microbiome belonging to a fern species.

The present CoVID-19 pandemic was first detected in December 2019 in Wuhan, China, and is rapidly spreading worldwide. To date, it has affected 465,915 individuals in 200 countries, and has been responsible for 21,031 deaths. In the absence of definitive treatment strategies, there is a pressing demand for drug discovery against CoVID-19. Drug repurposing is a cost- effective and time-saving strategy which essentially involves the identification of novel targets for known drug candidates. This reduces the time and cost of drug discovery, as the pharmacokinetics and toxicity profiles of the drugs are already known, which makes phase-I clinical trials redundant. Here, we employed a computational drug repurposing strategy for identifying drug hits against the RNA-dependent RNA polymerase (RDRP) protein of CoVID-19. Analysis of the human-virus protein-protein associations revealed that the viral RDRP (NSP12) is associated with multiple host proteins that partake in cellular processes, which indicated that NSP12 could be a potential target for drug discovery. This, combined with the fact that the RDRP protein is a potential antiviral target in several viral diseases, led us to consider the NSP12 as a potential drug target for CoVID-19. Owing to the absence of an experimentally-derived structure in the PDB, we constructed the NSP12 protein of CoVID-19 by homology modelling, and the potential druggable sites were analysed. The 13,533 entries in DrugBank were initially screened using the sequence of CoVID-19 NSP12. The 7 hits thus identified were subjected to a consensus docking and scoring strategy for identifying hits against the druggable site of CoVID-19 NSP12. Analysis of the docking scores and protein- ligand interactions revealed that two hits – N-alpha-[(benzyloxy)carbonyl]-n-[(1r)-4- hydroxy-1-methyl-2-oxobutyl]-l-phenylalaninamide and S-[5-(trifluoromethyl)-4h-1,2,4- triazol-3-yl] 5-(phenylethynyl) furan-2 -carbothioate, had stronger binding affinity than remdesivir, which is being presently tested in clinical trials for its antiviral activity against CoVID-19. This indicated that these two compounds might be effective against CoVID-19, however, further experimentation is necessary for obtaining substantial evidence. We believe that the results of this study could offer a novel avenue for drug development against CoVID- 19.

No abstract

No abstract