Decoding the role of oxidative stress resistance and alternative carbon substrate assimilation in the mature biofilm growth mode of Candida glabrata.

BACKGROUND: Biofilm formation is viewed as a vital mechanism in C. glabrata pathogenesis. Although, it plays a significant role in virulence but transcriptomic architecture and metabolic pathways governing the biofilm growth mode of C. glabrata remain elusive. The present study intended to investigate the genes implicated in biofilm growth phase of C. glabrata through global transcriptomic approach. RESULTS: Functional analysis of Differentially expressed genes (DEGs) using gene ontology and pathways analysis revealed that upregulated genes are involved in the glyoxylate cycle, carbon-carbon lyase activity, pre-autophagosomal structure membrane and vacuolar parts whereas, down- regulated genes appear to be associated with glycolysis, ribonucleoside biosynthetic process, ribosomal and translation process in the biofilm growth condition. The RNA-Seq expression of eight selected DEGs (CgICL1, CgMLS1, CgPEP1, and CgNTH1, CgERG9, CgERG11, CgTEF3, and CgCOF1) was performed with quantitative real-time PCR (RT-qPCR). The gene expression profile of selected DEGs with RT-qPCR displayed a similar pattern of expression as observed in RNA-Seq. Phenotype screening of mutant strains generated for genes CgPCK1 and CgPEP1, showed that Cgpck1∆ failed to grow on alternative carbon substrate (Glycerol, Ethanol, Oleic acid) and similarly, Cgpep1∆ unable to grow on YPD medium supplemented with hydrogen peroxide. Our results suggest that in the absence of glucose, C. glabrata assimilate glycerol, oleic acid and generate acetyl coenzyme-A (acetyl-CoA) which is a central and connecting metabolite between catabolic and anabolic pathways (glyoxylate and gluconeogenesis) to produce glucose and fulfil energy requirements. CONCLUSIONS: The study was executed using various approaches (transcriptomics, functional genomics and gene deletion) and it revealed that metabolic plasticity of C. glabrata (NCCPF-100,037) in biofilm stage modulates its virulence and survival ability to counter the stress and may promote its transition from commensal to opportunistic pathogen. The observations deduced from the present study along with future work on characterization of the proteins involved in this intricate process may prove to be beneficial for designing novel antifungal strategies.

Correlation of severity & clinical outcomes of COVID-19 with virus variants: A prospective, multicentre hospital network study.

BACKGROUND OBJECTIVES: The clinical course of COVID-19 and its prognosis are influenced by both viral and host factors. The objectives of this study were to develop a nationwide platform to investigate the molecular epidemiology of SARS-CoV-2 (Severe acute respiratory syndrome Corona virus 2) and correlate the severity and clinical outcomes of COVID-19 with virus variants. METHODS: A nationwide, longitudinal, prospective cohort study was conducted from September 2021 to December 2022 at 14 hospitals across the country that were linked to a viral sequencing laboratory under the Indian SARS-CoV-2 Genomics Consortium. All participants (18 yr and above) who attended the hospital with a suspicion of SARS-CoV-2 infection and tested positive by the reverse transcription-PCR method were included. The participant population consisted of both hospitalized as well as outpatients. Their clinical course and outcomes were studied prospectively. Nasopharyngeal samples collected were subjected to whole genome sequencing to detect SARS-CoV-2 variants. RESULTS: Of the 4972 participants enrolled, 3397 provided samples for viral sequencing and 2723 samples were successfully sequenced. From this, the evolution of virus variants of concern including Omicron subvariants which emerged over time was observed and the same reported here. The mean age of the study participants was 41 yr and overall 49.3 per cent were female. The common symptoms were fever and cough and 32.5 per cent had comorbidities. Infection with the Delta variant evidently increased the risk of severe COVID-19 (adjusted odds ratio: 2.53, 95% confidence interval: 1.52, 4.2), while Omicron was milder independent of vaccination status. The independent risk factors for mortality were age >65 yr, presence of comorbidities and no vaccination. INTERPRETATION CONCLUSIONS: The authors believe that this is a first-of-its-kind study in the country that provides real-time data of virus evolution from a pan-India network of hospitals closely linked to the genome sequencing laboratories. The severity of COVID-19 could be correlated with virus variants with Omicron being the milder variant.

Prokaryotic communities adapted to microhabitats on the Indian lotus (Nelumbo nucifera) growing in the high-altitude urban Dal Lake.

Indian lotus (Nelumbo nucifera) is one of the dominant aquatic plants cultivated in Dal Lake, situated at 1586 m above mean sea level (MSL) in the northeast of Srinagar, Kashmir. Despite their economic and ecological role, the microbial communities associated with the lotus plant are still unexplored. In this study, we investigated the prokaryotic communities on surfaces of different lotus microhabitats (roots, rhizome, leaves, flowers, and fruits), lake water, and sediments using 16S rRNA gene amplicon sequencing. Overall, prokaryotic diversity decreased significantly on the surface of lotus microhabitats in comparison to the lake water and sediments. Among the microhabitats of lotus, roots and leaves harbored more diverse communities in comparison to rhizomes, fruits, and flowers. A total of 98 genera were shared by lotus and the Dal Lake sediments and water. However, significant differences were found in their relative abundance; for example, Pseudomonas was the most dominant genus on the majority of lotus microhabitats. On the other hand, Flavobacterium was highly abundant in the lake water, while a higher abundance of Acinetobacter was recorded in sediments. Additionally, we also noted the presence of potential human pathogenic genera including Escherichia-Shigella, Enterobacter, Pantoea, Raoultella, Serratia, and Sphingomonas on the lotus microhabitats. Predicted functions of prokaryotic communities revealed a higher abundance of genes associated with nutrient uptake in the microhabitats of the lotus. This study offered first-hand information on the prokaryotic communities harbored by lotus plants and water and sediments of the Dal Lake and demonstrated the adaptation of diverse communities to microhabitats of lotus.

Bacterial Communities and Diversity of Western Ghats Soil: A Study of a Biodiversity Hotspot.

The Western Ghats is one of India's mega-diversity hotspots and an ecologically and geologically important area for the diversity of endemic plants and animals. The present study provides insights into the aerobic bacterial diversity and composition of the soils of North Western Ghats located in Maharashtra state (NWGM), India. The samples for the culture-dependent study were collected from 6 different locations namely Malshej Ghat, Bhimashankar, Lonavala, Mulshi, Tail-Baila, and Mahabaleshwar. A total of 173 isolates were obtained from the different samples, which belonged to Proteobacteria (43%), Firmicutes (36%), and Actinobacteria (19%). Sequences of 15 strains shared ≤ 98.7% similarity (a species cut-off) which represent potential novel species. Metagenomic analysis revealed the presence of Actinobacteria and Proteobacteria as the most dominant phyla at both MB and MG. However, both sites showed variation in the composition of rare phyla and other dominant phyla. This difference in bacterial community composition could be due to differences in altitude or other physicochemical properties. The functional prediction from the amplicon sequencing showed the abundance of carbohydrate, protein, and lipid metabolism which was corroborated by screening the isolated bacterial strains for the same. The present study has a unique take on microbial diversity and defines the importance of community assembly processes such as drift, dispersal, and selection. Such processes are relatively important in controlling community diversity, distribution, as well as succession. This study has shown that the microbial community of NWGM is a rich source of polysaccharide degrading bacteria having biotechnological potential.

Paenibacillus oleatilyticus sp. nov., isolated from soil.

A gram-stain-negative, endo-spore forming, facultatively anaerobic, motile, rod-shaped bacterial strain SM69T, isolated from soil samples of Rohtak, Haryana, India was characterized using polyphasic approach. White colonies were 2-3 mm, in diameter and growth occurred between 20 and 55 °C, pH 6.0-10.0 with 0-2.0% (w/v) NaCl. Based on 16S rRNA gene sequence similarity the strain is placed in the genus Paenibacillus as it is closely related to 'Paenibacillus tyrfis MSt1T' (99.7%) and P. elgii SD17T (99.6%). The cell wall peptidoglycan contained meso-diaminopimelic acid. The dominant fatty acids included anteiso-C15: 0 (50%), C16: 0 (12%) and anteiso-C17: 0 (10%). Major polar lipids were diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylglycerol. The size of the draft genome was 7,848,017 bp, with 53.1% G+C content. dDDH (51.6%) and ANI (93.5%) of strain SM69T with its close relatives indicates that it represents a novel species, for which the name Paenibacillus oleatilyticus sp. nov. (Type strain SM69T = MCC 3064T = JCM 33981T = KACC 21649T) is proposed.

MicFunPred: A conserved approach to predict functional profiles from 16S rRNA gene sequence data.

The 16S rRNA gene amplicon sequencing is a popular technique that provides accurate characterization of microbial taxonomic abundances but does not provide any functional information. Several tools are available to predict functional profiles based on 16S rRNA gene sequence data that use different genome databases and approaches. As variable regions of partially-sequenced 16S rRNA gene cannot resolve taxonomy accurately beyond the genus level, these tools may give inflated results. Here, we developed 'MicFunPred', which uses a novel approach to derive imputed metagenomes based on a set of core genes only, thereby minimizing false-positive predictions. On simulated datasets, MicFunPred showed the lowest False Positive Rate (FPR) with mean Spearman's correlation of 0.89 (SD = 0.03), while on seven real datasets the mean correlation was 0.75 (SD = 0.08). MicFunPred was found to be faster with low computational requirements and performed better or comparable when compared with other tools.

A Microcosm Model for the Study of Microbial Community Shift and Carbon Emission from Landfills.

The landfill is an inexpensive way of municipal solid waste (MSW) management and contributes extensively to the total carbon budget and global climate change. Three landfills from two geographically distinct metro- cities of India were taken as model systems to create microcosms and study their physiochemistry, microbiology, and carbon emission. The microcosm experiments revealed that facultative anaerobic bacterial community showing the dominance in the beginning but with the progression of anoxia and anaerobic conditions, methanogenesis prevailed, resulting in a clear shift towards the abundance of methanogens especially the members of Methanosarcina, Methanocorpusculum, and Methanoculleus (70-90% of the total microbial population). Geochemical data showed a wide range of heterogeneity in landfills' composition located even in the same city. In past, greenhouse gas emission from landfills is mainly estimated using different models which lack accuracy. As limited information is available as of now, this study can elicit researcher interest for in-depth characterization of microbial diversity and carbon emission from landfills. The microcosm model presented in the current study is a robust and straightforward method of accurate estimation of amounts of different types of gases release from landfill. It can also be extrapolate for estimation of different gases release from actual landfill sites by setting the on-site experiments. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-021-00995-7.

Disruptions in oral and nasal microbiota in biomass and tobacco smoke associated chronic obstructive pulmonary disease.

Chronic exposures to tobacco and biomass smoke are the most prevalent risk factors for COPD development. Although microbial diversity in tobacco smoke-associated COPD (TSCOPD) has been investigated, microbiota in biomass smoke-associated COPD (BMSCOPD) is still unexplored. We aimed to compare the nasal and oral microbiota between healthy, TSCOPD, and BMSCOPD subjects from a rural population in India. Nasal swabs and oral washings were collected from healthy (n = 10), TSCOPD (n = 11), and BMSCOPD (n = 10) subjects. The downstream analysis was performed using QIIME pipeline (v1.9). In nasal and oral microbiota no overall differences were noted, but there were key taxa that had differential abundance in either Healthy vs COPD and/or TSCOPD vs. BMSCOPD. Genera such as Actinomyces, Actinobacillus, Megasphaera, Selenomonas, and Corynebacterium were significantly higher in COPD subjects. This study suggests that microbial community undergoes dysbiosis which may further contribute to the progression of disease. Thus, it is important to identify etiological agents for such a polymicrobial alterations which contribute highly to the disease manifestation.

Contrasting Composition, Diversity and Predictive Metabolic Potential of the Rhizobacterial Microbiomes Associated with Native and Invasive Prosopis Congeners.

Invasive plants are known to alter the soil microbial communities; however, the effects of co-occurring native and invasive congeners on the soil bacterial diversity and their predictive metabolic profiles are not known. Here, we compared the rhizosphere bacterial communities of invasive Prosopis juliflora and its native congener Prosopis cineraria using high-throughput sequencing of the 16S rRNA gene. Unweighted Pair Group Method with Arithmetic mean (UPGMA) based dendrogram revealed significant variation in the communities of these co-occurring Prosopis species. Additionally, Canonical Correspondence Analysis (CCA) based on microbial communities in addition to the soil physiochemical parameters viz. soil pH, electrical conductivity, moisture content and sampling depth showed ~ 80% of the variation in bacterial communities of the rhizosphere and control soil. We observed that Proteobacteria was the predominant phylum of P. juliflora rhizosphere and the control soil, while P. cineraria rhizosphere was dominated by Cyanobacteria. Notably, the invasive P. juliflora rhizosphere showed an enhanced abundance of bacterial phyla like Actinobacteria, Chloroflexi, Firmicutes and Acidobacteria compared to the native P. cineraria as well as the control soil. Predictive metagenomics revealed that the bacterial communities of the P. juliflora rhizosphere had a higher abundance of pathways involved in antimicrobial biosynthesis and degradation, suggesting probable exposure to enemy attack and an active response mechanism to counter it as compared to native P. cineraria. Interestingly, the higher antimicrobial biosynthesis predicted in the invasive rhizosphere microbiome is further corroborated by the fact that the bacterial isolates purified from the rhizosphere of P. juliflora belonged to genera like Streptomyces, Isoptericola and Brevibacterium from the phylum Actinobacteria, which are widely reported for their antibiotic production ability. In conclusion, our results demonstrate that the co-occurring native and invasive Prosopis species have significantly different rhizosphere bacterial communities in terms of composition, diversity and their predictive metabolic potentials. In addition, the rhizosphere microbiome of invasive Prosopis proffers it a fitness advantage and influences invasion success of the species.

Integrated Genomic and Functional Characterization of the Anti-diabetic Potential of Arthrobacter sp. SW1.

For decades, bacterial natural products have served as valuable resources for developing novel drugs to treat several human diseases. Recent advancements in the integrative approach of using genomic and functional tools have proved beneficial in obtaining a comprehensive understanding of these biomolecules. This study presents an in-depth characterization of the anti-diabetic activity exhibited by a bacterial isolate SW1, isolated from an effluent treatment plant. As a primary screening, we assessed the isolate for its potential to inhibit alpha-amylase and alpha-glucosidase enzymes. Upon confirmation, we further utilized LC-MS, ESI-MS/MS, and NMR spectroscopy to identify and characterize the biomolecule. These efforts were coupled with the genomic assessment of the biosynthetic gene cluster involved in the anti-diabetic compound production. Our investigation discovered that the isolate SW1 inhibited both α-amylase and α-glucosidase activity. The chemical analysis suggested the production of acarbose, an anti-diabetic biomolecule, which was further confirmed by the presence of biosynthetic gene cluster "acb" in the genome. Our in-depth chemical characterization and genome mining approach revealed the potential of bacteria from an unconventional niche, an effluent treatment plant. To the best of our knowledge, it is one of the first few reports of acarbose production from the genus Arthrobacter.

Draft Genome Sequences of Two Phytoplasma Strains Associated with Sugarcane Grassy Shoot (SCGS) and Bermuda Grass White Leaf (BGWL) Diseases.

We performed whole-genome sequencing of two phytoplasmas associated with sugarcane grassy shoot (SCGS) and Bermuda grass white leaf diseases. These are the first draft genomes of SCGS phytoplasma (strain SCGS) and 'Candidatus Phytoplasma cynodontis' (strain LW01) and may help to delineate these phytoplasmas at a finer taxonomic level.

Comparative genomics of whole-cell pertussis vaccine strains from India.

BACKGROUND: Despite high vaccination coverage using acellular (ACV) and whole-cell pertussis (WCV) vaccines, the resurgence of pertussis is observed globally. Genetic divergence in circulating strains of Bordetella pertussis has been reported as one of the contributing factors for the resurgence of the disease. Our current knowledge of B. pertussis genetic evolution in circulating strains is mostly based on studies conducted in countries using ACVs targeting only a few antigens used in the production of ACVs. To better understand the adaptation to vaccine-induced selection pressure, it will be essential to study B. pertussis populations in developing countries which are using WCVs. India is a significant user and global supplier of WCVs. We report here comparative genome analyses of vaccine and clinical isolates reported from India. Whole-genome sequences obtained from vaccine strains: WCV (J445, J446, J447 and J448), ACV (BP165) were compared with Tohama-I reference strain and recently reported clinical isolates from India (BPD1, BPD2). Core genome-based phylogenetic analysis was also performed using 166 isolates reported from countries using ACV. RESULTS: Whole-genome analysis of vaccine and clinical isolates reported from India revealed high genetic similarity and conserved genome among strains. Phylogenetic analysis showed that clinical and vaccine strains share genetic closeness with reference strain Tohama-I. The allelic profile of vaccine strains (J445:ptxP1/ptxA2/prn1/fim2-1/fim3-1; J446: ptxP2/ptxA4/prn7/fim2-2/fim3-1; J447 and J448: ptxP1/ptxA1/ prn1/fim2-1/fim3-1), which matched entirely with clinical isolates (BPD1:ptxP1/ptxA1/prn1/fim2-1 and BPD2: ptxP1/ptxA1/prn1/fim2-1) reported from India. Multi-locus sequence typing (MLST) demonstrated the presence of dominant sequence types ST2 and primitive ST1 in vaccine strains which will allow better coverage against circulating strains of B. pertussis. CONCLUSIONS: The study provides a detailed characterization of vaccine and clinical strains reported from India, which will further facilitate epidemiological studies on genetic shifts in countries which are using WCVs in their immunization programs.

Nitrincola tapanii sp. nov., a novel alkaliphilic bacterium from An Indian Soda Lake.

A novel Gram-stain-negative bacterial strain designated as MEB193T was isolated from a sediment sample collected from Lonar Lake, India. The cells were motile, non-spore-forming and rod-shaped. The strain was oxidase- and catalase-positive. It grew optimally at pH 9.0 and at 1 % (w/v) NaCl concentration at 30 °C. Based on 16S rRNA gene sequence similarity, MEB193T belongs to genus Nitrincola, with Nitrincola alkalilacustris ZV-19T (95.89 %) and Nitrincola lacisaponensis 4CAT (95.87 %) as its closest neighbours. The major fatty acid was summed feature 8 comprising C18:1ω7c/C18:1ω6c (52 %) followed by C16 : 0 (25 %). Phosphatidylglycerol (PG) and diphosphatidylglycerol (DPG) were present as the major polar lipids. The draft genome obtained in this study was 2 793 747 bp and the G+C content was 50.79 mol%. Average nucleotide identity (71.76 %) and DNA-DNA hybridization (<20 %) values between strain MEB193T and Nitrincola lacisaponensis 4CAT confirmed the novelty of this new species. Based on phenotypic including chemotaxonomic and genotypic characterization data, strain MEB193T represents a new species of the genus Nitrincola for which the name Nitrincola tapanii sp. nov. is proposed. The type strain is MEB193T (=MCC 2863T=JCM 31570 T=KCTC 52390 T).

Bacterial Communities Associated with the Biofilms Formed in High-Altitude Brackish Water Pangong Tso Located in the Himalayan Plateau.

Pangong Tso is a long and narrow lake situated at an altitude of ~ 4266 m amsl in the Himalayan Plateau on the side of the India/China border. Biofilm has been observed in a small area near the shore of Pangong Tso. Bacterial communities of the lake sediment, water and biofilms were studied using amplicon sequencing of V3-V4 region of the 16S rRNA gene. The standard QIIME pipeline was used for analysis. The metabolic potential of the community was predicted using functional prediction tool Tax4Fun. Bacterial phyla Proteobacteria, followed by Bacteroidetes, Acidobacteria, Planctomycetes, Actinobacteria, and Firmicutes, were found to be dominant across these samples. Shannon's and Simpson's alpha diversity analysis revealed that sediment communities are the most diverse, and water communities are the least diverse. Principal Coordinates based beta diversity analysis showed significant variation in the bacterial communities of the water, sediment and biofilm samples. Bacterial phyla Verrucomicrobia, Deinococcus-Thermus and Cyanobacteria were explicitly enriched in the biofilm samples. Predictive functional profiling of these bacterial communities showed a higher abundance of genes involved in photosynthesis, biosynthesis of secondary metabolites, carbon fixation in photosynthetic organisms and glyoxylate and dicarboxylate metabolism in the biofilm sample. In conclusion, the Pangong Tso bacterial communities are quite similar to other saline and low-temperature lakes in the Tibetan Plateau. Bacterial community structure of the biofilm samples was significantly different from that of the water and sediment samples and enrichment of saprophytic communities was observed in the biofilm samples, indicating an important succession event in this high-altitude lake.

Treatment of industrial effluents and assessment of their impact on the structure and function of microbial diversity in a unique Anoxic-Aerobic sequential batch reactor (AnASBR).

A novel Anoxic-Aerobic Process (AnAP) that eliminated the anaerobic process was optimized and operated for the simultaneous remediation of phosphate, nitrate, and chemical oxygen demand (COD) from industrial effluents. Two sequential batch reactors (SBR) with AnAP were established for the treatment of effluent from two industries; phosphate fertilizer (AnASBR_PPL) and dairy industry (AnASBR_DW). The adaptability of the bacterial consortium in the SBRs, dominated by denitrifying phosphate accumulating organisms (DNPAOs), facilitates the stable performance of AnAP for simultaneous nutrient and COD removal. Up to 90% and ~80% of COD removal were achieved in AnASBR_PPL and AnASBR_DW, respectively. Nearly complete denitrification was observed along with phosphate removal accounted for ~90% in both the reactors. Granulation of sludge has been widely reported in aerobic reactors; however, interestingly, in this study, partial granulation of the sludge was observed in both the AnASBRs which facilitated the microorganisms to uptake a minimal amount of phosphate and nitrate even under the aerobic condition. The underlying mechanism of DNPAOs and other associated microbes in the consortium were investigated for microbial diversity by 16S rDNA based targeted amplicon sequencing using the Illumina platform and imputed metagenomic analysis. The dominance of Betaproteobacteria, Alphaproteobacteria, Gammaproteobacteria, and Bacteroidia was observed in AnASBRs. At steady-state operation, the identity of the core community members remained largly stable, but their relative abundances changed considerably in both the reactors as a function of varying industrial effluent. However, population of few strains such as Lactobacteriales, Enterobacteriales changed drastically with respect to the influent, as these strains were predominat in AnASBR_DW but not present in AnASBR_PPL. The dominant strains were the vital contributor to the gene pool encoding for denitrification, dephosphatation, TCA cycle, glycolysis, EPS production, and polyhydroxyalkanoate (PHA) storage, etc. Few less abundant but persistent species were also detected as contributors to these functional groups. It unveiled the TCA cycle remains preferable over conventional glycolysis in both the SBR irrespective of carbon source. The new AnASBR was proved to be an efficient alternative system that is energy efficient with higher ease of operation for the treatment of different industrial effluents without fail.

Mining the Core Gut Microbiome from a Sample Indian Population.

Human gut microbiome studies are increasing at a rapid pace to understand contributions of the prokaryotic life to the innate workings of their eukaryotic host. Majority of studies focus on the pattern of gut microbial diversity in various diseases, however, understanding the core microbiota of healthy individuals presents a unique opportunity to study the microbial fingerprint in population specific studies. Present study was undertaken to determine the core microbiome of a healthy population and its imputed metabolic role. A total of 8990, clone library sequences (> 900 bp) of 16S rRNA gene from fecal samples of 43 individuals were used. The core gut microbiota was computed using QIIME pipeline. Our results show the distinctive predominance of genus Prevotella and the core composition of genera Prevotella, Bacteroides, Roseburia and Megasphaera in the Indian gut. PICRUSt analysis for functional imputation of the microbiome indicates a higher potential of the microbiota for carbohydrate metabolism. The presence of core microbiota may indicate key functions played by these microbes for the human host.

Comparative genome analysis reveals key genetic factors associated with probiotic property in Enterococcus faecium strains.

BACKGROUND: Enterococcus faecium though commensal in the human gut, few strains provide a beneficial effect to humans as probiotics while few are responsible for the nosocomial infection. Comparative genomics of E. faecium can decipher the genomic differences responsible for probiotic, pathogenic and non-pathogenic properties. In this study, we compared E. faecium strain 17OM39 with a marketed probiotic, non-pathogenic non-probiotic (NPNP) and pathogenic strains. RESULTS: E. faecium 17OM39 was found to be closely related with marketed probiotic strain T110 based on core genome analysis. Strain 17OM39 was devoid of known vancomycin, tetracycline resistance and functional virulence genes. Moreover, E. faecium 17OM39 genome was found to be more stable due to the absence of frequently found transposable elements. Genes imparting beneficial functional properties were observed to be present in marketed probiotic T110 and 17OM39 strains. Genes associated with colonization and survival within gastrointestinal tract was also detected across all the strains. CONCLUSIONS: Beyond shared genetic features; this study particularly identified genes that are responsible for imparting probiotic, non-pathogenic and pathogenic features to the strains of E. faecium. Higher genomic stability, absence of known virulence factors and antibiotic resistance genes and close genomic relatedness with marketed probiotics makes E. faecium 17OM39 a potential probiotic candidate. The work presented here demonstrates that comparative genome analyses can be applied to large numbers of genomes, to find potential probiotic candidates.

World's Largest Mass Bathing Event Influences the Bacterial Communities of Godavari, a Holy River of India.

Kumbh Mela is one of the largest religious mass gathering events (MGE) involving bathing in rivers. The exponential rise in the number of devotees, from around 0.4 million in 1903 to 120 million in 2013, bathing in small specified sites can have a dramatic impact on the river ecosystem. Here, we present the spatiotemporal profiling of bacterial communities in Godavari River, Nashik, India, comprising five sites during the Kumbh Mela, held in 2015. Assessment of environmental parameters indicated deterioration of water quality. Targeted amplicon sequencing demonstrates approximately 37.5% loss in microbial diversity because of anthropogenic activity during MGE. A significant decrease in phyla viz. Actinobacteria, Chloroflexi, Proteobacteria, and Bacteroidetes was observed, while we noted substantial increase in prevalence of the phylum Firmicutes (94.6%) during MGE. qPCR estimations suggested nearly 130-fold increase in bacterial load during the event. Bayesian mixing model accounted the source of enormous incorporation of bacterial load of human origin. Further, metagenomic imputations depicted increase in virulence and antibiotic resistance genes during the MGE. These observations suggest the striking impact of the mass bathing on river ecosystem. The subsequent increase in infectious diseases and drug-resistant microbes pose a critical public health concern.

Reclassification of Phycicola gilvus (Lee et al. 2008) and Leifsonia pindariensis (Reddy et al. 2008) as Microterricola gilva comb. nov. and Microterricola pindariensis comb. nov. and emended description of the genus Microterricola.

The taxonomic positions of Microterricola viridarii JCM 15926T, Phycicola gilvus DSM 18319T and Leifsonia pindariensis JCM 15132T were re-examined. Phylogenetic analysis and 16S rRNA gene sequence similarities revealed that all three strains are closely related with each other and form a monophyletic cluster with high sequence similarity (99.2 -99.9 %). A dendrogram constructed based on the protein spectra generated by matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy also displayed close clustering of these three strains. The fatty acid profiles of three strains were very similar to each other and contained branched fatty acids (anteiso-C15 : 0, anteiso-C17 : 0 and iso-C16 : 0) as the predominant cellular fatty acids. The polar lipid profiles of the three stains were similar and consisted of diphosphatidylglycerol, phosphatidylglycerol and phosphatidylcholine as major polar lipids and an unknown lipid. Comparisons of morphological, chemotaxonomic and physiological data of Microterricola viridarii JCM 15926T, Leifsonia pindariensis JCM 15132T and Phycicola gilvus DSM 18319T are in agreement with the features of a common genus. DNA-DNA hybridization data generated during this study showed less than 70 % reassociation value with each other indicating that they are different at species level. Based on the present study, we conclude that Phycicola gilvus DSM 18319T and Leifsonia pindariensis JCM 15132T should be reclassified under the genus Microterricola, since this genus has the nomenclatural priority, and reclassified as Microterricolagilva comb. nov. (type strain SSWW-21T=DSM 18319T=KCTC 19185T=JCM 30550T) and Microterricolapindariensis comb. nov. (type strain PON10T=LMG 24222T=JCM 15132T=MTCC9128T). An emended description of the genus Microterricola is also presented.

Genomic and functional features of the biosurfactant producing Bacillus sp. AM13.

Genomic studies provide deeper insights into secondary metabolites produced by diverse bacterial communities, residing in various environmental niches. This study aims to understand the potential of a biosurfactant producing Bacillus sp. AM13, isolated from soil. An integrated approach of genomic and chemical analysis was employed to characterize the antibacterial lipopeptide produced by the strain AM13. Genome analysis revealed that strain AM13 harbors a nonribosomal peptide synthetase (NRPS) cluster; highly similar with known biosynthetic gene clusters from surfactin family: lichenysin (85 %) and surfactin (78 %). These findings were substantiated with supplementary experiments of oil displacement assay and surface tension measurements, confirming the biosurfactant production. Further investigation using LCMS approach exhibited similarity of the biomolecule with biosurfactants of the surfactin family. Our consolidated effort of functional genomics provided chemical as well as genetic leads for understanding the biochemical characteristics of the bioactive compound.