Molecular simulation unravels the amyloidogenic misfolding of nascent ApoA1 protein, driven by deleterious point mutations occurring in between 170-178 hotspot region.

Protein ApoA1 is extensively studied for its role in lipid metabolism. Its seedy dark side of amyloid formulation remains relatively understudied yet. Due to genetic mutations, the protein pathologically misshapes into its amyloid form that gets accumulated in various organs, including the heart. To contrive effective therapeutics against this debilitating congenital disorder, it is imperative to comprehend the structural ramifications induced by mutations in APoA1's dynamic conformation. Till now, several point mutations have been implicated in ApoA1's amyloidosis, although only a handful has been examined considerably. Especially, the single nucleotide polymorphisms (SNPs) that occur in-between 170-178 mutation hotspot site of APoA1 needs to be investigated, since most of them are culpable of amyloid deposition in the heart. To that effect, in the present study, we have computationally quantified and studied the ApoA1's biomolecular modifications fostered by SNPs in the 170-178 mutation hotspot. Findings from discrete molecular dynamics simulation studies indicate that the SNPs have noticeably steered the ApoA1's behaviour from its native structural dynamics. Analysis of protein's secondary structural changes exhibits a considerable change upon mutations. Further, subjecting the protein structures to simulated thermal denaturation shows increased resistance to denaturation among mutants when compared to native. Further, normal mode analysis of protein's dynamic motion also shows discrepancy in its dynamic structural change upon SNP. These structural digressions induced by SNPs can very well be the biomolecular incendiary that drives ApoA1 into its amyloidogenesis. And, understanding these structural modifications initiates a better understanding of SNP's amyloidogenic pathology on APoA1.Communicated by Ramaswamy H. Sarma.

Novel approaches on identification of conserved miRNAs for broad-spectrum Potyvirus control measures.

Potyviridae comprises more than 200 ssRNA viruses, many of which have a broad host range and geographical distributions. Potyvirids (members of Potyviridae) infect several economically important plants such as saffron, cardamom, cucumber, pepper, potato, tomato, yam, etc. Cumulatively, potyvirids cause a substantial economic loss. The major bottleneck in developing an efficient antiviral strategy is that viruses quickly evade host immunity owing to their higher mutation and recombination rates. Due to this reason, the emergence of newer and improved broad-spectrum approaches to combat viral infections is essential. The use of microRNA's (miRNA) to circumvent viral infection against animal viruses has been successfully employed. Fewer studies reported the development of efficient miRNA-based antivirus resistant strategies against plant viruses and none focused on multiple virus resistance. We focused on potyviruses since studies are limited and identification of conserved miRNAs among various host plants would be an initiative to design broad-spectrum antivirus strategies. In this study, we predicted evolutionarily conserved miRNAs by BLAST searching of reported miRNAs from 15 plants against the GSS and EST sequences of banana. A total of nine miRNAs were predicted and screened in nine diverse potyvirids' hosts (Banana, Tomato, Green gram, Jasmine, Chilli, Coriander, Onion, Rose and Colocasia) belonging to eight different orders (Zingiberales, Solanales, Fabales, Lamiales, Apiales, Asperagales, Rosales and Alismatales). Results suggested that miR168 and miR162 are conserved among all the selected plants. This comprehensive study laid the foundations to design broad-spectrum antivirus resistance using miRNAs. To conclude miR168 and miR162 are conserved among many plants and play a crucial role in evading virus infection which could be used as a potential candidate for developing antiviral strategies against potyvirid infections.