First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome.

Different human races across the globe responded in a different way to the SARS-CoV-2 infection leading to different disease severity. Therefore, it is anticipated that host genetic factors have a straight association with the COVID-19. We identified a total 6, 7, and 6 genomic loci for deceased-recovered, asymptomatic-recovered, and deceased-asymptomatic group comparison, respectively. Unfavourable alleles of the markers nearby the genes which are associated with lung and heart diseases such as Tumor necrosis factor superfamily (TNFSF4&18), showed noteworthy association with the disease severity and outcome for the COVID-19 patients in the western Indian population. The markers found with significant association with disease prognosis or recovery are of value in determining the individual's response to SARS-CoV-2 infection and can be used for the risk prediction in COVID-19. Besides, GWAS study in other populations from India may help to strengthen the outcome of this study.

Nasopharyngeal microbiome of COVID-19 patients revealed a distinct bacterial profile in deceased and recovered individuals.

The bacterial co-infections in SARS-CoV-2 patients remained the least explored subject of clinical manifestations that may also determine the disease severity. Nasopharyngeal microbial community structure within SARS-CoV-2 infected patients could reveal interesting microbiome dynamics that may influence the disease outcomes. Here, in this research study, we analyzed distinct nasopharyngeal microbiome profile in the deceased (n = 48) and recovered (n = 29) COVID-19 patients and compared it with control SARS-CoV-2 negative individuals (control) (n = 33). The nasal microbiome composition of the three groups varies significantly (PERMANOVA, p-value <0.001), where deceased patients showed higher species richness compared to the recovered and control groups. Pathogenic genera, including Corynebacterium (LDA score 5.51), Staphylococcus, Serratia, Klebsiella and their corresponding species were determined as biomarkers (p-value <0.05, LDA cutoff 4.0) in the deceased COVID-19 patients. Ochrobactrum (LDA score 5.79), and Burkholderia (LDA 5.29), were found in the recovered group which harbors ordinal bacteria (p-value <0.05, LDA-4.0) as biomarkers. Similarly, Pseudomonas (LDA score 6.19), and several healthy nasal cavity commensals including Veillonella, and Porphyromonas, were biomarkers for the control individuals. Healthy commensal bacteria may trigger the immune response and alter the viral infection susceptibility and thus, may play important role and possible recovery that needs to be further explored. This research finding provide vital information and have significant implications for understanding the microbial diversity of COVID-19 patients. However, additional studies are needed to address the microbiome-based therapeutics and diagnostics interventions.

Transcriptome profiling reveals upregulation of benzoate degradation and related genes in Pseudomonas aeruginosa D6 during textile dye degradation.

An upsurge in textile dye pollution has demanded immediate efforts to develop an optimum technology for their bioremediation. However, the molecular mechanism underpinning aerobic decolorization of dyes is still in its infancy. Thus, in the current work, the intricacies of aerobic remediation of textile dyes by Pseudomonas aeruginosa D6 were understood via a transcriptomic approach. The bacterium isolated from the sludge sample of a common effluent treatment plant was able to decolorize 54.42, 57.66, 50.84 and 65.86% of 100 mg L-1 of four different dyes i.e., TD01, TD04, TD05, and TD06, respectively. The maximum decolorization was achieved within six days and thus, the first and sixth day of incubation were selected for transcriptome analysis at the early and late phase of the decolorization, respectively. The expression profiles of all samples were compared to gain insight into the dye-specific response of bacterium and it was found that it behaved most uniquely in the presence of the dye TD01. Several genes critical to core metabolic processes like the TCA cycle, glycolysis, pentose phosphate pathway, translation, cell motility etc. Were found to be overexpressed in the presence of dyes. Interestingly, in response to dyes, the benzoate degradation pathway was significantly upregulated in the bacterium as compared to control (i.e., bacterium without dye). Thus, seven genes contributing to the induction of the same were further studied by RT-qPCR analysis. Overall, the involvement of the benzoate pathway implies the appearance of aromatic intermediates during decolorization, which in turn infers dye degradation.

Deciphering the black box of microbial community of common effluent treatment plant through integrated metagenomics: Tackling industrial effluent.

Identifying the microbial community and their functional potential from different stages of common effluent treatment plants (CETP) can enhance the efficiency of wastewater treatment systems. In this study, wastewater metagenomes from 8 stages of CETP were screened for microbial diversity and gene profiling along with their corresponding degradation activities. The microbial community displayed 98.46% of bacterial species, followed by Eukarya (0.10%) and Archaea 0.02%. At the Phylum level, Proteobacteria (28.8%) was dominant, followed by Bacteroidetes (16.1%), Firmicutes (11.7%), and Fusobacteria (6.9%) which are mainly capable of degrading the aromatic compounds. Klebsiella pneumoniae, Wolinella succinogenes, Pseudomonas stutzeri, Desulfovibrio vulgaris, and Clostridium sticklandii were the most prevalent species. The functional analysis further demonstrated the presence of enzymes linked with genes/pathways known to be involved in the degradation/metabolization of aromatic compounds like benzoate, bisphenol, 1,2-dichloroethane phenylalanine. This information was further validated with the whole genome analysis of the bacteria isolated from the CETP. We anticipate that integrating both shotgun and whole-genome analyses can reveal the rich reservoir for novel enzymes and genes present in CETP effluent that can contribute to designing efficient bioremediation strategies for the environment in general CETP system, in particular.

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.

Landfill microbiome harbour plastic degrading genes: A metagenomic study of solid waste dumping site of Gujarat, India.

Globally, environmental pollution by plastic waste has become a severe ecological and social problem worldwide. The present study aimed to analyse the bacterial community structure and functional potential of the landfill site using high throughput shotgun metagenomic approach to understand plastic degrading capabilities present in the municipal solid waste (MSW) dumping site. In this study, soil, leachate and compost samples were collected from various locations (height and depth) of the Pirana landfill site in Ahmedabad city Gujarat, India. In total 30 phyla, 58 class, 125 order, 278 families, 793 genera, and 2468 species were predicted. The most dominant phyla detected were Proteobacteria, Bacteroidetes, Firmicutes, and Actinobacteria in the soil and compost samples. Whereas, in leachate samples, the predominant phyla belonged to Firmicutes (54.24%) followed by Actinobacteria (43.67%) and Proteobacteria (1.02%). The functional profiling revealed the presence of enzymatic groups and pathways involved in biodegradation of xenobiotics. The results also demonstrated the presence of potential genes that is associated with the biodegradation of different types of plastics such as polyethylene (PE), polyethylene terephthalate (PET), and polystyrene (PS). Present study extablishes the relationship between microbial community structure and rich sources of gene pool, which are actively involved in biodegradation of plastic waste in landfill sites.

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.

Role of l-Arginine in Oligohydramnios.

BACKGROUND: Oligohydramnios is a known obstetric complication which is associated with operative interferences and perinatal morbidity and mortality. l-arginine is a precursor of nitric oxide and may play a role in local vasodilatation. Administration of l-arginine has been suggested to improve amniotic fluid index (AFI) in oligohydramnios. AIMS AND OBJECTIVES: To study the effect of l-arginine in optimizing fetal outcome in cases of oligohydramnios. MATERIALS AND METHODS: A retrospective study was conducted at Dr L H Hiranandani hospital consisting of 100 antenatal patients diagnosed with oligohydramnios [AFI < 8 cm] remote from term. Patients were evaluated for all antenatal risk factors and were started on l-arginine sachets (3 g, 3 sachets a day). The treatment was continued till an adequate improvement in liquor was noted. However, patients were considered for delivery if the liquor remained <5. Further, mean increase in AFI, intervention delivery interval, and neonatal outcome were studied. RESULTS: The mean gestational age at the time of recruitment was 32.3 weeks. The mean AFI noted was 5.421 cm. These patients were delivered at 35 ± 1.1 weeks, and thus, pregnancy could be prolonged by 2.4 ± 1.1 weeks. The mean AFI at the end of therapeutic intervention was 8.753, and thus, an AFI increase of 3.332 cm could be obtained. There was no significant neonatal morbidity in these patients. Significant improvement in liquor volume was obtained in these patients after intervention with l-arginine sachets. CONCLUSION: l-arginine supplementation is promising in improving volume of amniotic fluid in cases of oligohydramnios and prolonging pregnancy by a mean of 2.4 weeks, allowing fetal lung maturation thus benefiting the neonatal outcome.