A study into the diversity of coral-associated bacteria using culture-dependent and culture-independent approaches in coral Dipsastraea favus from the Gulf of Kutch.

Corals harbour ~25 % of the marine diversity referring to biodiversity hotspots in marine ecosystems. Global efforts to find ways to restore the coral reef ecosystem from various threats can be complemented by studying coral-associated bacteria. Coral-associated bacteria are vital components of overall coral wellbeing. We explored the bacterial diversity associated with coral Dipsastraea favus (D. favus) collected from the Gulf of Kutch, India, using both culture-dependent and metagenomic approaches. In both approaches, phylum Proteobacteria, Firmicutes, and Actinobacteria predominated, comprising the genera Vibrio, Bacillus, Shewanella, Pseudoalteromonas, Exiguobacterium and Streptomyces. Moreover, the majority of culturable isolates showed multiple antibiotic resistance index ≥0.2. In this study, specific bacterial diversity associated with coral sp. D. favus and its possible role in managing coral health was established. Almost 43 strains from the samples were successfully cultured, creating a base for exploring these microbes for their potential use in coral conservation methods.

Unravelling the genomic origins of lumpy skin disease virus in recent outbreaks.

Lumpy skin disease virus (LSDV) belongs to the genus Capripoxvirus and family Poxviridae. LSDV was endemic in most of Africa, the Middle East and Turkey, but since 2015, several outbreaks have been reported in other countries. In this study, we used whole genome sequencing approach to investigate the origin of the outbreak and understand the genomic landscape of the virus. Our study showed that the LSDV strain of 2022 outbreak exhibited many genetic variations compared to the Reference Neethling strain sequence and the previous field strains. A total of 1819 variations were found in 22 genome sequences, which includes 399 extragenic mutations, 153 insertion frameshift mutations, 234 deletion frameshift mutations, 271 Single nucleotide polymorphisms (SNPs) and 762 silent SNPs. Thirty-eight genes have more than 2 variations per gene, and these genes belong to viral-core proteins, viral binding proteins, replication, and RNA polymerase proteins. We highlight the importance of several SNPs in various genes, which may play an essential role in the pathogenesis of LSDV. Phylogenetic analysis performed on all whole genome sequences of LSDV showed two types of variants in India. One group of the variant with fewer mutations was found to lie closer to the LSDV 2019 strain from Ranchi while the other group clustered with previous Russian outbreaks from 2015. Our study highlights the importance of genomic characterization of viral outbreaks to not only monitor the frequency of mutations but also address its role in pathogenesis of LSDV as the outbreak continues.

Identification of novel exonic variants contributing to hereditary breast and ovarian cancer in west Indian population.

Breast and ovarian cancers are the most common cancer types in females worldwide and in India. Patients with these cancers require an early diagnosis which is essential for better prognosis, treatment and improved patient survival. Recently, the utilization of next-generation sequencing (NGS)-based screening has accelerated molecular diagnosis of various cancers. In the present study, we performed whole-exome sequencing (WES) of 30 patients who had a first or second-degree relative with breast or ovarian cancer and are tested negative for BRCA1/2 or other high and moderate-risk genes reported for HBOC. WES data from patients were analyzed and variants were called using bcftools. Functional annotation of variants and variant prioritization was performed by Exomiser. The clinical significance of variants was determined as per ACMG classification using Varsome tool. The functional analysis of genes was determined by STRING analysis and disease association was determined by open target tool. We found novel variants and gene candidates having significant association with HBOC conditions. The genes identified by exomiser (phenotype score > 0.75) are associated with various biological processes such as DNA integrity maintenance, transcription regulation, cell cycle regulation, and apoptosis. Our findings provide novel and prevalent gene variants associated with the HBOC condition in the West Indian population which could be further studied for early diagnosis and better prognosis of HBOC.

Resistance Evolution against Host-directed Antiviral Agents: Buffalopox Virus Switches to Use p38-ϒ under Long-term Selective Pressure of an Inhibitor Targeting p38-α.

Host-dependency factors have increasingly been targeted to minimize antiviral drug resistance. In this study, we have demonstrated that inhibition of p38 mitogen-activated protein kinase (a cellular protein) suppresses buffalopox virus (BPXV) protein synthesis by targeting p38-MNK1-eIF4E signaling pathway. In order to provide insights into the evolution of drug resistance, we selected resistant mutants by long-term sequential passages (P; n = 60) in the presence of p38 inhibitor (SB239063). The P60-SB239063 virus exhibited significant resistance to SB239063 as compared to the P60-Control virus. To provide mechanistic insights on the acquisition of resistance by BPXV-P60-SB239063, we generated p38-α and p38-ϒ (isoforms of p38) knockout Vero cells by CRISPR/Cas9-mediated genome editing. It was demonstrated that unlike the wild type (WT) virus which is dependent on p38-α isoform, the resistant virus (BPXV-P60-SB239063) switches over to use p38-ϒ so as to efficiently replicate in the target cells. This is a rare evidence wherein a virus was shown to bypass the dependency on a critical cellular factor under selective pressure of a drug.

Genomic Variations in SARS-CoV-2 Genomes From Gujarat: Underlying Role of Variants in Disease Epidemiology.

Humanity has seen numerous pandemics during its course of evolution. The list includes several incidents from the past, such as measles, Ebola, severe acute respiratory syndrome (SARS), and Middle East respiratory syndrome (MERS), etc. The latest edition to this is coronavirus disease 2019 (COVID-19), caused by the novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of August 18, 2020, COVID-19 has affected over 21 million people from 180 + countries with 0.7 million deaths across the globe. Genomic technologies have enabled us to understand the genomic constitution of pathogens, their virulence, evolution, and rate of mutation, etc. To date, more than 83,000 viral genomes have been deposited in public repositories, such as GISAID and NCBI. While we are writing this, India is the third most affected country by COVID-19, with 2.7 million cases and > 53,000 deaths. Gujarat is the 11th highest affected state with a 3.48% death rate compared to the national average of 1.91%. In this study, a total of 502 SARS-CoV-2 genomes from Gujarat were sequenced and analyzed to understand its phylogenetic distribution and variants against global and national sequences. Further variants were analyzed from diseased and recovered patients from Gujarat and the world to understand its role in pathogenesis. Among the missense mutations present in the Gujarat SARS-CoV-2 genomes, C28854T (Ser194Leu) had an allele frequency of 47.62 and 7.25% in deceased patients from the Gujarat and global datasets, respectively. In contrast, the allele frequency of 35.16 and 3.20% was observed in recovered patients from the Gujarat and global datasets, respectively. It is a deleterious mutation present in the nucleocapsid (N) gene and is significantly associated with mortality in Gujarat patients with a p-value of 0.067 and in the global dataset with a p-value of 0.000924. The other deleterious variant identified in deceased patients from Gujarat (p-value of 0.355) and the world (p-value of 2.43E-06) is G25563T, which is located in Orf3a and plays a potential role in viral pathogenesis. SARS-CoV-2 genomes from Gujarat are forming distinct clusters under the GH clade of GISAID. This study will shed light on the viral haplotype in SARS-CoV-2 samples from Gujarat, India.

Metagenomic dataset on lichen Dirinaria sp. from the Great Rann of Kutch and tropical moist deciduous Dang forest of Gujarat.

This paper describes the additional data to our research article "Bacterial line of defense in Dirinaria lichen from two different ecosystems: First genomic insights of its mycobiont Diriniria sp. GBRC AP01" by Puvar et al. [1]. In this manuscript we are presenting the data obtained during the annotation of the genome enriched from metagenomic data from the lichen samples.

Bacterial line of defense in Dirinaria lichen from two different ecosystems: First genomic insights of its mycobiont Dirinaria sp. GBRC AP01.

Lichens have been widely studied for their symbiotic properties and for the secondary metabolites production by its fungal symbiont. Recent molecular studies have confirmed coexistence of bacteria along with the fungal and algal symbionts. Direct nucleic acid study by -omics approaches is providing better insights into their structural and functional dynamics. However, genomic analysis of individual members of lichen is difficult by the conventional approach. Hence, genome assembly from metagenome data needs standardization in the eukaryotic system like lichens. The present study aimed at metagenomic characterization of rock associated lichen Dirinaria collected from Kutch and Dang regions of Gujarat, followed by genome reconstruction and annotation of the mycobiont Dirinaria. The regions considered in the study are eco-geographically highly variant. The results revealed higher alpha diversity in the dry region Kutch as compared to the tropical forest associated lichen from Dang. Ascomycota was the most abundant eukaryote while Proteobacteria dominated the bacterial population. There were 23 genera observed only in the Kutch lichen (KL) and one genus viz., Candidatus Vecturithrix unique to the Dang lichen (DL). The exclusive bacterial genera in the Kutch mostly belonged to groups reported for stress tolerance and earlier isolated from lithobionts of extreme niches. The assembled data of KL & DL were further used for genome reconstruction of Dirinaria sp. using GC and tetra-pentamer parameters and reassembly that resulted into a final draft genome of 31.7 Mb and 9556 predicted genes. Twenty-eight biosynthesis gene clusters were predicted that included genes for polyketide, indole and terpene synthesis. Association analysis of bacteria and mycobiont revealed 8 pathways specific to bacteria with implications in lichen symbiosis and environment interaction. The study provides the first draft genome of the entire fungal Dirinaria genus and provides insights into the Dirinaria lichen metagenome from Gujarat region.

Whole exome sequencing reveals novel LEPR frameshift mutation in severely obese children from Western India.

BACKGROUND: Obesity, especially early onset of obesity is a serious health concern in both developed and developing countries. This is further associated with serious comorbidities like a fatty liver disease, cardiovascular diseases, type-2 diabetes, obstructive sleep apnea, renal complications and respiratory problems. Many times early onset of obesity is linked with heritable monogenic, polygenic and syndromic forms. Globally, studies on roles of genes involved in early onset of obesity are limited. METHODS: Here in this study, a consanguineous family of Western Indian origin having four siblings, one unaffected and three affected with severe early onset of obesity was enrolled. Affected siblings also displayed comorbidities like mild to moderate obstructive sleep apnea, raised Renal Resistance Index, oliguria, and severe anemia. Whole Exome Sequencing (WES) of Trio with one affected and unaffected sibling was done. Data analysis was performed to check pathogenic mutation segregation in unaffected parents with affected and unaffected sibling. RESULTS: WES of trio identified novel frameshift mutation in the LEPR gene resulting in truncated leptin receptor (LEPR). The same mutation was confirmed in other affected siblings and two siblings of distant relatives by Sanger sequencing. The possible effects of truncating mutation in LEPR function by in silico analysis were also studied. CONCLUSION: Understanding genetic basis of obesity might provide a clue for better management and treatment in times to come. This work demonstrates identification of novel mutation in LEPR gene resulting into early onset of obesity. Discovery of novel, population-specific genomics markers will help population screening programs in creating base for possible therapeutic applications and prevention of this disease for next generations.