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Medicinal plants have been used as traditional herbal medicines in the treatment of various types of diseases. However, the increased demand for these plants highlights the importance of conservation specifically for endangered species. Significant advancements in next-generation sequencing (NGS) technologies have accelerated medicinal plant research while reducing costs and time demands. NGS systems enable high-throughput whole genome sequencing as well as direct RNA sequencing and transcriptome analysis. The sequence data sets created can be used in a variety of areas of study, including biodiversity conservation, comparative genomics, transcriptomic analysis, single cell mining, metagenomics, epigenetics, molecular marker discovery, multi genome sequencing, and so on. Commercial sequencing service providers are constantly working to improve technologies to address bioinformatics problems in NGS data analysis. Several genome sequencing projects on medicinal plants have been completed recently and a few more are in the works. In some medicinal plants, massive NGS-based data has been developed. In the present review, we have attempted to briefly discuss advancements in NGS technology on medicinally essential plants in India. The review will also provide ideas for applying NGS technologies for exploring genomes of various endangered medicinal plants whose genome sequences are not normally available and thus provides valuable insights for the conservation of these vulnerable species. [ABSTRACT FROM AUTHOR]

Visceral leishmaniasis (VL) caused by parasites of the Leishmania donovani complex can be fatal in susceptible individuals. Understanding the interactions between host and pathogen is one way to obtain leads to develop better drugs and for vaccine development. In recent years multiple omics-based approaches have assisted researchers to gain a more global picture of this interaction in leishmaniasis. Here we review results from studies using three omics-based approaches to study VL caused by L. donovani in India: (i) chip-based analysis of single nucleotide variants in the first genome-wide association study of host genetic risk factors for VL, followed by analysis of epitope binding to HLA DRB1 risk versus protective alleles; (ii) transcriptional profiling demonstrating pathways important in Amphotericin B treated compared to active VL cases, including demonstration that anti-interleukin-10 unleashes a storm of chemokines and cytokines in whole blood responses to soluble leishmania antigen in active cases; and (iii) a meta-taxonomic approach based on sequencing amplicons derived from regions of 16S ribosomal RNA (16S rRNA) and 18S rRNA genes that allowed us to determine composition of both prokaryotic and eukaryotic gut microflora in VL cases compared to endemic controls. Overall, our omics-based approaches demonstrate that global analyses of genetic risk factors, host responses to infection, and the interaction between host, parasite and the microbiome can point to the most critical factors that determine the outcome of infection [ABSTRACT FROM AUTHOR]

High-throughput omics strategies delineate the molecular mechanism of toxicity, predict the toxicity of newer drugs and chemicals, and identify individuals at high risks on the basis of expression patterns of messenger ribonucleic acids, genes, and proteins, and detection of intermediary metabolites. Despite being a developing country, India is one of the fastest growing nations in the usages and applications of omics technologies. Several differentially expressed genes and proteins under various pathological and toxicant-exposed conditions have been identified, and many association studies on genetic polymorphisms with toxicant-induced diseases have been conducted for the predictive and mechanistic purposes. To date, omics-driven approaches have identified some novel fingerprints associated with disease risk/protection and prediction of toxicity of newer chemicals. Although the contributions of such findings in the mechanistic toxicology have been immense, predictive values of these findings in toxicology have been limited. In this review, the current status of omics-based research and its future possibilities at the Indian Institute of Toxicology Research (IITR), Lucknow, India, have been discussed. [ABSTRACT FROM AUTHOR]