Transcriptomic variations associated with salinity stress in Penaeus indicus.

BACKGROUND: The Indian white shrimp, Penaeus indicus a native species of India, is important brackishwater aquaculture species. Shrimps are euryhaline in nature and they regulate osmotic and ionic concentrations by osmoregulatory process. However, variations in abiotic factors such as salinity result in stress to the shrimps during culture period affecting their growth and immunity. METHODS AND RESULTS: To understand the adaptive mechanism to stress in low salinity conditions, RNA-seq was used to compare the transcriptomic response of P. indicus upto 3 weeks. De novo assembly using Trinity assembler generated a total of 173,582 transcripts. The assembly had a mean length of 854 bp, N50 value of 1243 bp and GC content of 42.33%. Differential gene expression analysis, resulted in identification of 2130, 3090, and 5351 DEGs in 7 days, 14 days and 21 days respectively of salinity stress period. The pathway prediction of the assembled trinity transcripts using KEGG database showed total number of 329 pathways linking 12,430 transcripts. KEGG pathway enrichment analyses led to the identification of several enriched pathways related to lipid metabolism, amino acid metabolism, glycolysis, signalling pathways etc. Selected genes involved in osmoregulatory process and immune response in shrimps were validated and analysed for the gene expression levels by quantitative real-time PCR (qPCR). CONCLUSION: This study on the adaptive transcriptomic response of P. indicus to low salinity, will further help in our understanding of the molecular mechanisms underlying osmoregulation mechanism in shrimps.

MRF: a tool to overcome the barrier of inconsistent genome annotations and perform comparative genomics studies for the largest animal DNA virus.

BACKGROUND: The genome of the largest known animal virus, the white spot syndrome virus (WSSV) responsible for huge economic losses and loss of employment in aquaculture, suffers from inconsistent annotation nomenclature. Novel genome sequence, circular genome and variable genome length led to nomenclature inconsistencies. Since vast knowledge has already accumulated in the past two decades with inconsistent nomenclature, the insights gained on a genome could not be easily extendable to other genomes. Therefore, the present study aims to perform comparative genomics studies in WSSV on uniform nomenclature. METHODS: We have combined the standard mummer tool with custom scripts to develop missing regions finder (MRF) that documents the missing genome regions and coding sequences in virus genomes in comparison to a reference genome and in its annotation nomenclature. The procedure was implemented as web tool and in command-line interface. Using MRF, we have documented the missing coding sequences in WSSV and explored their role in virulence through application of phylogenomics, machine learning models and homologous genes. RESULTS: We have tabulated and depicted the missing genome regions, missing coding sequences and deletion hotspots in WSSV on a common annotation nomenclature and attempted to link them to virus virulence. It was observed that the ubiquitination, transcription regulation and nucleotide metabolism might be essentially required for WSSV pathogenesis; and the structural proteins, VP19, VP26 and VP28 are essential for virus assembly. Few minor structural proteins in WSSV would act as envelope glycoproteins. We have also demonstrated the advantage of MRF in providing detailed graphic/tabular output in less time and also in handling of low-complexity, repeat-rich and highly similar regions of the genomes using other virus cases. CONCLUSIONS: Pathogenic virus research benefits from tools that could directly indicate the missing genomic regions and coding sequences between isolates/strains. In virus research, the analyses performed in this study provides an advancement to find the differences between genomes and to quickly identify the important coding sequences/genomes that require early attention from researchers. To conclude, the approach implemented in MRF complements similarity-based tools in comparative genomics involving large, highly-similar, length-varying and/or inconsistently annotated viral genomes.

Phylogenetic relations and mitogenome-wide similarity metrics reveal monophyly of Penaeus sensu lato.

Splitting of the genus Penaeus sensu lato into six new genera based on morphological features alone has been controversial in penaeid shrimp taxonomy. Several studies focused on building phylogenetic relations among the genera of Penaeus sensu lato. However, they lack in utilizing full mitochondrial DNA genome of shrimp representing all the six controversial genera. For the first time, the present study targeted the testing of all the six genera of Penaeus sensu lato for phylogenetic relations utilizing complete mitochondrial genome sequence. In addition, the study reports for the first time about the complete mitochondrial DNA genome sequence of Fenneropenaeus indicus, an important candidate species in aquaculture and fisheries, and utilized it for phylogenomics. The maximum likelihood and Bayesian approaches were deployed to generate and comprehend the phylogenetic relationship among the shrimp in the suborder, Dendrobranchiata. The phylogenetic relations established with limited taxon sampling considered in the study pointed to the monophyly of Penaeus sensu lato and suggested collapsing of the new genera to a single genus. Further, trends in mitogenome-wide estimates of average amino acid identity in the order Decapoda and the genus Penaeus sensu lato supported restoration of the old genus, Penaeus, rather promoting the creation of new genera.

In silico screening of drugs to find potential gamma-secretase inhibitors using pharmacophore modeling, QSAR and molecular docking studies.

Modulation of gamma-secretase cleavage of Amyloid Precursor Protein (APP) to control the level of Amyloid-beta (A-beta) peptide is one of the strategies to develop therapy for Alzheimer's disease. Presenilin is a subunit and the catalytic core of gamma-secretase. It has Asp 257 and Asp 385 residues, which are essential for catalytic activity and thus serve as the region of interest for screening of potential gamma-secretase inhibitors. In the present study, in silico screening of drug molecules has been performed in an attempt to identify effective inhibitors of presenilin. Ligand-based pharmacophore models generated with reported inhibitor molecules have been used as query for screening from DrugBank database. Inhibitory activity (IC50) of the screening hits is predicted using a QSAR model developed. The selected molecules have been subjected to docking study against Presenilin1 C-terminal fragment that houses Asp 385 in place of presenilin, as its structure is unavailable. Finally, 46 potential inhibitor molecules were selected based on scores of scoring function and interaction with Asp 385. The selected compounds have spatial arrangement of features essential for binding to presenilin, desired inhibitory activity against processing of APP to A-beta by gamma-secretase and selective interaction with specific amino acids in ligand-protein docked complexes.