Biology subjects

Jani, K.

Publications and source records attributed to Jani, K..

4 recordsLinked to original sources

bioRxiv2025

Chemical modulation of the unfolded protein response reveals an antiviral role for the PERK pathway in human coronavirus 229E infection

Broad spectrum antivirals are critical to respond rapidly to the threat posed by newly emerging RNA viruses. One potential candidate is the natural compound thapsigargin (Tg). Tg potently induces endoplasmic reticulum (ER) stress and activates the unfolded protein response (UPR). Recent studies have demonstrated that Tg has robust antiviral activity against several human coronaviruses (CoVs), including SARS-CoV-2, although the specific antiviral mechanism(s) have remained unclear. Here, we aimed to characterize the role of the UPR in the antiviral activity of Tg against HCoV-229E, a model common cold CoV. Consistent with previous findings, we show that a short 30-minute priming of A549 cells with Tg potently inhibits HCoV-229E infection. Time-of-addition assays showed that Tg is most effective when added up to 8 hours post-infection. Furthermore, Tg inhibits the accumulation of double-stranded RNA in infected cells, suggesting that Tg inhibits early stages of viral RNA replication. Using selective UPR pathway inhibitors to narrow down the role of these pathways in mediating the antiviral effect of Tg, we show that the inhibition of IRE1 or ATF6 does not impair the ability of Tg to inhibit HCoV-229E infection. The use of stable knockdown A549 cells in which IRE1, PERK, or ATF6 expression was silenced further revealed that the antiviral activity of Tg is not dependent on the expression of any of the three UPR sensors individually. However, HCoV-229E replication is inhibited in A549-shIRE1 cells, or in cells treated with the IRE1 inhibitor (KIRA6), suggesting that IRE1 activation may play a pro-viral role during HCoV-229E infection. Selective UPR pathway activators were used to further probe down the role of each pathway during HCoV-229E infection. Selective activation of the PERK pathway, but not IRE1 or ATF6 pathways, inhibits HCoV-229E infection. Lastly, to more broadly test the antiviral role of PERK against CoV RNA replication, we used BHK-21 cells that stably express a SARS-CoV-2 replicon. We show that selective PERK activation robustly inhibits SARS-CoV-2 replication, comparable to Tg. Overall, these findings provide insight into the antiviral mechanism(s) of Tg against CoV infection and demonstrate that modulation of the UPR may be exploited as an antiviral strategy.

microbiology↗

bioRxiv2024

Fertilization impacts microbiomes along the grassland trophic chain

Agricultural grasslands are often managed intensively, influencing soil properties and microbial communities. This can result in significant community changes and challenges to health and function at different levels along the trophic chain. This study investigates how fertilization affects microbial communities in grassland ecosystems in multiple connected trophic compartments. Shifts in microbial composition occurred in response to fertilization with effects being host-dependent and changes being more pronounced in belowground compartments. Strong interactions between trophic levels facilitated transmission of bacterial genera from soil and roots to higher trophic levels. Pig slurry- derived microbes were found in all compartments, but their low prevalence suggests an indirect effect of fertilisation, primarily due to changes in nutrient availability. Our findings emphasize the importance of considering both individual compartments and trophic interactions in ecosystems to fully understand the effects of anthropogenic disturbances on environmental and human health.

microbiology↗

bioRxiv2020

PAN-INDIA 1000 SARS-CoV-2 RNA Genome Sequencing Reveals Important Insights into the Outbreak

The PAN-INDIA 1000 SARS-CoV-2 RNA Genome Sequencing Consortium has achieved its initial goal of completing the sequencing of 1000 SARS-CoV-2 genomes from nasopharyngeal and oropharyngeal swabs collected from individuals testing positive for COVID-19 by Real Time PCR. The samples were collected across 10 states covering different zones within India. Given the importance of this information for public health response initiatives investigating transmission of COVID-19, the sequence data is being released in GISAID database. This information will improve our understanding on how the virus is spreading, ultimately helping to interrupt the transmission chains, prevent new cases of infection, and provide impetus to research on intervention measures. This will also provide us with information on evolution of the virus, genetic predisposition (if any) and adaptation to human hosts. One thousand and fifty two sequences were used for phylodynamic, temporal and geographic mutation patterns and haplotype network analyses. Initial results indicate that multiple lineages of SARS-CoV-2 are circulating in India, probably introduced by travel from Europe, USA and East Asia. A2a (20A/B/C) was found to be predominant, along with few parental haplotypes 19A/B. In particular, there is a predominance of the D614G mutation, which is found to be emerging in almost all regions of the country. Additionally, mutations in important regions of the viral genome with significant geographical clustering have also been observed. The temporal haplotype diversities landscape in each region appears to be similar pan India, with haplotype diversities peaking between March-May, while by June A2a (20A/B/C) emerged as the predominant one. Within haplotypes, different states appear to have different proportions. Temporal and geographic patterns in the sequences obtained reveal interesting clustering of mutations. Some mutations are present at particularly high frequencies in one state as compared to others. The negative estimate Tajimas D (D = -2.26817) is consistent with the rapid expansion of SARS-CoV-2 population in India. Detailed mutational analysis across India to understand the gradual emergence of mutants at different regions of the country and its possible implication will help in better disease management.

genomics↗

bioRxiv2020

Phylogenomic analysis of SARS-CoV-2 genomes from western India reveals unique linked mutations

India has become the third worst-hit nation by the COVID-19 pandemic caused by the SARS-CoV-2 virus. Here, we investigated the molecular, phylogenomic, and evolutionary dynamics of SARS-CoV-2 in western India, the most affected region of the country. A total of 90 genomes were sequenced. Four nucleotide variants, namely C241T, C3037T, C14408T (Pro4715Leu), and A23403G (Asp614Gly), located at 5UTR, Orf1a, Orf1b, and Spike protein regions of the genome, respectively, were predominant and ubiquitous (90%). Phylogenetic analysis of the genomes revealed four distinct clusters, formed owing to different variants. The major cluster (cluster 4) is distinguished by mutations C313T, C5700A, G28881A are unique patterns and observed in 45% of samples. We thus report a newly emerging pattern of linked mutations. The predominance of these linked mutations suggests that they are likely a part of the viral fitness landscape. A novel and distinct pattern of mutations in the viral strains of each of the districts was observed. The Satara district viral strains showed mutations primarily at the 3' end of the genome, while Nashik district viral strains displayed mutations at the 5' end of the genome. Characterization of Pune strains showed that a novel variant has overtaken the other strains. Examination of the frequency of three mutations i.e., C313T, C5700A, G28881A in symptomatic versus asymptomatic patients indicated an increased occurrence in symptomatic cases, which is more prominent in females. The age-wise specific pattern of mutation is observed. Mutations C18877T, G20326A, G24794T, G25563T, G26152T, and C26735T are found in more than 30% study samples in the age group of 10-25. Intriguingly, these mutations are not detected in the higher age range 61-80. These findings portray the prevalence of unique linked mutations in SARS-CoV-2 in western India and their prevalence in symptomatic patients. ImportanceElucidation of the SARS-CoV-2 mutational landscape within a specific geographical location, and its relationship with age and symptoms, is essential to understand its local transmission dynamics and control. Here we present the first comprehensive study on genome and mutation pattern analysis of SARS-CoV-2 from the western part of India, the worst affected region by the pandemic. Our analysis revealed three unique linked mutations, which are prevalent in most of the sequences studied. These may serve as a molecular marker to track the spread of this viral variant to different places.

genomics↗