Development, validation and application of single molecule molecular inversion probe based novel integrated genetic screening method for 29 common lysosomal storage disorders in India.

BACKGROUND: Current clinical diagnosis pathway for lysosomal storage disorders (LSDs) involves sequential biochemical enzymatic tests followed by DNA sequencing, which is iterative, has low diagnostic yield and is costly due to overlapping clinical presentations. Here, we describe a novel low-cost and high-throughput sequencing assay using single-molecule molecular inversion probes (smMIPs) to screen for causative single nucleotide variants (SNVs) and copy number variants (CNVs) in genes associated with 29 common LSDs in India. RESULTS: 903 smMIPs were designed to target exon and exon-intron boundaries of targeted genes (n = 23; 53.7 kb of the human genome) and were equimolarly pooled to create a sequencing library. After extensive validation in a cohort of 50 patients, we screened 300 patients with either biochemical diagnosis (n = 187) or clinical suspicion (n = 113) of LSDs. A diagnostic yield of 83.4% was observed in patients with prior biochemical diagnosis of LSD. Furthermore, diagnostic yield of 73.9% (n = 54/73) was observed in patients with high clinical suspicion of LSD in contrast with 2.4% (n = 1/40) in patients with low clinical suspicion of LSD. In addition to detecting SNVs, the assay could detect single and multi-exon copy number variants with high confidence. Critically, Niemann-Pick disease type C and neuronal ceroid lipofuscinosis-6 diseases for which biochemical testing is unavailable, could be diagnosed using our assay. Lastly, we observed a non-inferior performance of the assay in DNA extracted from dried blood spots in comparison with whole blood. CONCLUSION: We developed a flexible and scalable assay to reliably detect genetic causes of 29 common LSDs in India. The assay consolidates the detection of multiple variant types in multiple sample types while having improved diagnostic yield at same or lower cost compared to current clinical paradigm.

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.

Moringa leaf meal exerts growth benefits in small ruminants through modulating the gastrointestinal microbiome.

This study investigated the impact of feeding 17% moringa leaf meal (MLM) on the ruminal and fecal microbial composition and body weight gain (BWG) performance of lambs (Ovis aries) and kids (Capra hircus). A total of n = 28 lambs (n = 14, no-moringa, n = 14, 17% moringa) and 24 kids (n = 12, no-moringa, n = 12, 17% moringa) were involved in the experiment and body weight was recorded fortnightly. Metagenomic shotgun sequencing was performed on 28, 22, and 26 ruminal solid, liquid fraction, and fecal samples from lambs, and 23, 22, and 23 samples from kids. Moringa supplementation significantly increased BWG in lambs (21.09 ± 0.78 to 26.12 ± 0.81 kg) and kids (14.60 ± 1.29 to 18.28 ± 1.09 kg) (p-value ≤ 0.01). Microbiome analysis revealed an elevated Firmicutes:Bacteroidetes ratio in the moringa diet group. Moringa-fed animals exhibited increased microbial genera associated with volatile fatty acids (VFAs) production (Prevotella, Anaerovibrio, Lachnospiraceae, Butyrivibrio, Christensenella) and starch and fiber digesters (Proteobacteria, Ruminococcus). The increase in the bacterial genus Sharpea suggested possible methane reduction and decreased proportion of pathogens, Aliarcobacter_ID28198, Campylobacter_ID194 and Campylobacter_ID1660076 suggest health benefits. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated significant alterations in microbial gene pool and metabolic pathways related to carbohydrate, protein, lipid and energy metabolism, indicating potential improvements in animal health. Overall, moringa feeding showed higher energy recovery, improved growth, and potential benefits in methane reduction and reduced pathogenic bacteria.

Heterologous expression of recombinant nattokinase in Escherichia coli BL21(DE3) and media optimization for overproduction of nattokinase using RSM.

Nattokinase, a serine protease, was discovered in Bacillus subtilis during the fermentation of a soybean byproduct. Nattokinase is essential for the lysis of blood clots and the treatment of cardiac diseases including atherosclerosis, thrombosis, high blood pressure, and stroke. The demand for thrombolytic drugs rises as the prevalence of cardiovascular disease rises, and nattokinase is particularly effective for the treatment of cardiovascular diseases due to its long duration of action. In this study, we cloned the nattokinase gene from the Bacillus subtilis strain into the pET32a vector and expressed the protein in the E. coli BL21(DE3) strain. The active recombinant nattokinase was purified using Ni-NTA affinity chromatography and then evaluated for fibrinolytic and blood clot lysis activity. Physiological parameters for optimizing protein production at optimal pH, temperature, IPTG concentration, and incubation time were investigated. A statistical technique was used to optimize media components for nattokinase overproduction, and Central Composite Design-Response Surface Methodology-based optimization was used to select significant components for protein production. The optimized media produced 1805.50 mg/L of expressed nattokinase and 42.80 gm/L of bacterial mass. The fibrinolytic activity obtained from refolded native protein was 58FU/mg, which was five times higher than the available orokinase drug (11FU/mg). The efficiency with which a statistical technique for media optimization was implemented improved recombinant nattokinase production and provides new information for scale - up nattokinase toward industrial applications.

Comprehensive analysis using DNA metabarcoding, SCAR marker based PCR assay, and HPLC unveils the adulteration in Brahmi herbal products.

BACKGROUND: Brahmi is one of the important nootropic botanicals, widely sold in the market, with the name "Brahmi'' being used to describe both Bacopa monnieri and Centella asiatica species. The Brahmi herbal products market is expanding; hence, economically motivated adulteration is highly prevalent. METHODS AND RESULTS: This study aimed to develop DNA-based methods, including SCAR marker-based PCR and metabarcoding, to authenticate Brahmi herbal products and compare these methods with HPLC. These methods have been validated using mock controls (in-house blended formulations). All targeted plant species in mock controls were detected successfully with all three methods, whereas, in market samples, only 22.2%, 55.6%, and 50.0% were found positive for Brahmi by PCR assay, DNA metabarcoding, and HPLC, respectively. Metabarcoding can detect the presence of non-labeled plants together with targeted species, which is an advantage over PCR assay or HPLC. CONCLUSION: SCAR marker-based PCR is a rapid and cost-effective method for detecting the presence of B. monnieri and C. asiatica. However, in this study, the success rate of PCR amplification was relatively low because the primers targeted either RAPD or ITS-based SCAR markers. HPLC assay, although an alternative, was unable to detect the presence of other botanicals, just like the SCAR marker-based PCR assay. On the other hand, metabarcoding can be utilized to identify the target plants, even in very small quantities, while also providing simulated identification of other botanicals. This study successfully addressed the need for quality control of Brahmi herbal products and provided the first-time report of DNA metabarcoding for such products.

Defective ORF8 dimerization in SARS-CoV-2 delta variant leads to a better adaptive immune response due to abrogation of ORF8-MHC1 interaction.

In India, during the second wave of the COVID-19 pandemic, the breakthrough infections were mainly caused by the SARS-COV-2 delta variant (B.1.617.2). It was reported that, among majority of the infections due to the delta variant, only 9.8% percent cases required hospitalization, whereas only 0.4% fatality was observed. Sudden dropdown in COVID-19 infections cases were observed within a short timeframe, suggesting better host adaptation with evolved delta variant. Downregulation of host immune response against SARS-CoV-2 by ORF8 induced MHC-I degradation has been reported earlier. The Delta variant carried mutations (deletion) at Asp119 and Phe120 amino acids which are critical for ORF8 dimerization. The deletions of amino acids Asp119 and Phe120 in ORF8 of delta variant resulted in structural instability of ORF8 dimer caused by disruption of hydrogen bonds and salt bridges as revealed by structural analysis and MD simulation studies. Further, flexible docking of wild type and mutant ORF8 dimer revealed reduced interaction of mutant ORF8 dimer with MHC-I as compared to wild-type ORF8 dimer with MHC-1, thus implicating its possible role in MHC-I expression and host immune response against SARS-CoV-2. We thus propose that mutant ORF8 of SARS-CoV-2 delta variant may not be hindering the MHC-I expression thereby resulting in a better immune response against the SARS-CoV-2 delta variant, which partly explains the possible reason for sudden drop of SARS-CoV-2 infection rate in the second wave of SARS-CoV-2 predominated by delta variant in India.

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.

Genomic Epidemiology of Early SARS-CoV-2 Transmission Dynamics, Gujarat, India.

Limited genomic sampling in many high-incidence countries has impeded studies of severe respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic epidemiology. Consequently, critical questions remain about the generation and global distribution of virus genetic diversity. We investigated SARS-CoV-2 transmission dynamics in Gujarat, India, during the state's first epidemic wave to shed light on spread of the virus in one of the regions hardest hit by the pandemic. By integrating case data and 434 whole-genome sequences sampled across 20 districts, we reconstructed the epidemic dynamics and spatial spread of SARS-CoV-2 in Gujarat. Our findings indicate global and regional connectivity and population density were major drivers of the Gujarat outbreak. We detected >100 virus lineage introductions, most of which appear to be associated with international travel. Within Gujarat, virus dissemination occurred predominantly from densely populated regions to geographically proximate locations that had low population density, suggesting that urban centers contributed disproportionately to virus spread.

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.

Spectre of SARS-CoV-2 RNA in the ambient urban waters of Ahmedabad and Guwahati: A tale of two Indian cities.

COVID-19 positive patients can egest live SARS-CoV-2 virus and viral genome fragments through faecal matter and urine, raising concerns about viral transmission through the faecal-oral route and/or contaminated aerosolized water. These concerns are amplified in many low- and middle-income countries, where raw sewage is often discharged into surface waterways and open defecation is common. Nonetheless, there has been no evidence of COVID-19 transmission via ambient urban water, and the virus viability in such aquatic matrices is believed to be minimal and not a matter of concern. In this manuscript, we attempt to discern the presence of SARS-CoV-2 genetic material (ORF-1ab, N and S genes) in the urban water (lakes, rivers, and drains) of the two Indian cities viz., Ahmedabad (AMD), in western India with 9 wastewater treatment plants (WWTPs) and Guwahati (GHY), in the north-east of the country with no such treatment facilities. The present study was carried out to establish the applicability of environmental water surveillance (E-wat-Surveillance) of COVID-19 as a potential tool for public health monitoring at the community level. 25.8% and 20% of the urban water samples had detectable SARS-CoV-2 RNA load in AMD and GHY, respectively. N-gene > S-gene > ORF-1ab-gene were readily detected in the urban surface water of AMD, whereas no such observable trend was noticed in the case of GHY. The high concentrations of SARS-CoV-2 genes (e.g., ORF-1ab; 800 copies/L for Sabarmati River, AMD and S-gene; 565 copies/L for Bharalu urban river, GHY) found in urban waters suggest that WWTPs do not always completely remove the virus genetic material and that E-wat-Surveillance of COVID-19 in cities/rural areas with poor sanitation is possible.

Unravelling the early warning capability of wastewater surveillance for COVID-19: A temporal study on SARS-CoV-2 RNA detection and need for the escalation.

Wastewater-based Epidemiological (WBE) surveillance offers a promising approach to assess the pandemic situation covering pre-symptomatic and asymptomatic cases in highly populated area under limited clinical tests. In the present study, we analyzed SARS-CoV-2 RNA in the influent wastewater samples (n = 43) from four wastewater treatment plants (WWTPs) in Gandhinagar, India, during August 7th to September 30th, 2020. A total of 40 samples out of 43 were found positive i.e. having at least two genes of SARS-CoV-2. The average Ct values for S, N, and ORF 1 ab genes were 32.66, 33.03, and 33.95, respectively. Monthly variation depicted a substantial rise in the average copies of N (~120%) and ORF 1 ab (~38%) genes in the month of September as compared to August, while S-gene copies declined by 58% in September 2020. The SARS-CoV-2 genome concentration was higher in the month of September (~924.5 copies/L) than August (~897.5 copies/L), corresponding to a ~2.2-fold rise in the number of confirmed cases during the study period. Further, the percentage change in genome concentration level on a particular date was found in the lead of 1-2 weeks of time with respect to the official confirmed cases registered based on clinical tests on a temporal scale. The results profoundly unravel the potential of WBE surveillance to predict the fluctuation of COVID-19 cases to provide an early warning. Our study explicitly suggests that it is the need of hour that the wastewater surveillance must be included as an integral part of COVID-19 pandemic monitoring which can not only help the water authorities to identify the hotspots within a city but can provide up to 2 weeks of time lead for better tuning the management interventions.

First comparison of conventional activated sludge versus root-zone treatment for SARS-CoV-2 RNA removal from wastewaters: Statistical and temporal significance.

In the initial pandemic phase, effluents from wastewater treatment facilities were reported mostly free from Severe Acute Respiratory Coronavirus 2 (SARS-CoV-2) RNA, and thus conventional wastewater treatments were generally considered effective. However, there is a lack of first-hand data on i) comparative efficacy of various treatment processes for SARS-CoV-2 RNA removal; and ii) temporal variations in the removal efficacy of a given treatment process in the backdrop of active COVID-19 cases. This work provides a comparative account of the removal efficacy of conventional activated sludge (CAS) and root zone treatments (RZT) based on weekly wastewater surveillance data, consisting of forty-four samples, during a two-month period. The average genome concentration was higher in the inlets of CAS-based wastewater treatment plant (WWTP) in the Sargasan ward (1.25 × 103 copies/ L), than that of RZT-based WWTP (7.07 × 102 copies/ L) in an academic institution campus of Gandhinagar, Gujarat, India. ORF 1ab and S genes appeared to be more sensitive to treatment i.e., significantly reduced (p < 0.05) than N genes (p > 0.05). CAS treatment exhibited better RNA removal efficacy (p = 0.014) than RZT (p = 0.032). Multivariate analyses suggested that the effective genome concentration should be calculated based on the presence/absence of multiple genes. The present study stresses that treated effluents are not always free from SARS-CoV-2 RNA, and the removal efficacy of a given WWTP is prone to exhibit temporal variability owing to variations in active COVID-19 cases in the vicinity and genetic material accumulation over the time. Disinfection seems less effective than the adsorption and coagulation processes for SARS-CoV-2 removal. Results stress the need for further research on mechanistic insight on SARS-CoV-2 removal through various treatment processes taking solid-liquid partitioning into account.

DNA meta-barcoding using rbcL based mini-barcode revealed presence of unspecified plant species in Ayurvedic polyherbal formulations.

INTRODUCTION: Ayurveda takes advantage of the beneficial properties of medicinal plants. High demands in combination with inadequate availability of botanicals and a lack of knowledge with respect to their precise identification lead to adulterations in herbal products. Identification becomes more difficult in complex herbal formulations. Four different polyherbal formulations have been analyzed for the present paper. The targeted plants have different pharmacological properties for various ailments. OBJECTIVE: We aimed to examine the rbcL gene based plant DNA mini-barcode to identify target and non-target plants in polyherbal formulations by using high-throughput next generation sequencing. METHODS: Degenerate primers of the selected mini-barcode region have been identified from the literature. A blend of 30 authentic medicinal plant species was used to examine the species resolution capacity of the mini-barcode. DNA was isolated from herbal formulations, an amplicon library was prepared, and sequencing was performed on an IonS5 system. Data were analyzed using various bioinformatics tools. RESULTS: Analysis of control pooled samples revealed the optimum resolving power of the DNA mini-barcode. Data analysis of the commercial samples revealed that only one herbal formulation contained all plants and matched with listed contents. In two formulations, only 10 out of 21 and 11 out of 20 plants were detected, respectively. Additionally, several non-listed plants were also detected in these formulations. Two formulations contained >20% reads assigned to non-target plants. Overall, 21.98% of the reads were assigned to non-target plants. CONCLUSION: The present study clearly demonstrated the successful application and potential of meta-barcoding in the quality control of complex herbal matrices. The results strongly suggest that this approach can be used in pharmacovigilance of processed herbal products.

Biomedical application, drug delivery and metabolic pathway of antiviral nanotherapeutics for combating viral pandemic: A review.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a neoteric virus belonging to the beta coronavirus class has created a global health concern, responsible for an outbreak of severe acute respiratory illness, the COVID-19 pandemic. Infected hosts exhibit diverse clinical features, ranging from asymptomatic to severe symptoms in their genital organs, respiratory, digestive, and circulatory systems. Considering the high transmissibility (R0: ≤6.0) compared to Middle East respiratory syndrome coronavirus (MERS-CoV) and SARS-CoV, the quest for the clinical development of suitable antiviral nanotherapeutics (NTPs) is incessant. We are presenting a systematic review of the literature published between 2003 and 2020 to validate the hypothesis that the pharmacokinetics, collateral acute/chronic side effects of nano drugs and spike proteins arrangement of coronaviruses can revolutionize the therapeutic approach to cure COVID-19. Our aim is also to critically assess the slow release kinetics and specific target site chemical synthesis influenced competence of NTPs and nanotoxicity based antiviral actions, which are commonly exploited in the synthesis of modulated nanomedicines. The pathogenesis of novel virulent pathogens at the cellular and molecular levels are also considered, which is of utmost importance to characterize the emerging nano-drug agents as diagnostics or therapeutics or viral entry inhibitors. Such types of approaches trigger the scientists and policymakers in the development of a conceptual framework of nano-biotechnology by linking nanoscience and virology to present a smart molecular diagnosis/treatment for pandemic viral infections.

Prevalence of antibiotic resistance in the tropical rivers of Sri Lanka and India.

We evaluate the imprints of urbanization, landuse and lifestyle on the prevalence and provenance of antibiotic resistance in the tropical rivers of Sri Lanka (Kelani and Gin) and India (Sabarmati, and Brahmaputra River). The prevalence of E. coli in the Kelani, Sabarmati, and Brahmaputra Rivers was in the range of 10-27, 267-76,600, and <50 CFU ml-1 respectively. Isolated E. coli colonies were subjected to six antibiotics to assess their resistance. We found higher resistance to old generation antibiotics like tetracycline (TC), and sulfamethoxazole (ST) transcends the resistance for fluoroquinolones like norfloxacin (NFX), ciprofloxacin (CIP), and levofloxacin (LVX). Interestingly, both Indian rivers had exhibited relatively higher resistance to TC and ST than the Kelani river or Gin River, implying that the Sri Lankan situation is relatively less critical. At genetic level the resistance for ß-lactams, fluoroquinolones and sulphonamides, were detected in many samples, as reported globally. While the resistance genes for aac-(6')-1b-cr, qnrS and sul1 were detected in both Sri Lankan and Indian Rivers, blaTEM and ampC were specific to the Indian Rivers only. Decoupling of the prevalence of metal contamination and antibiotic resistance has been noticed in India and Sri Lanka. Study implies that urbanization, landuse, and lifestyle (ULL) are the three most critical factors governing multidrug resistance (MDR) and fecal contamination.

A snapshot of microbial communities from the Kutch: one of the largest salt deserts in the World.

Here we present the first report on the taxonomic diversity of the microbial communities of the saline desert of the Great Rann of Kutch, Gujarat, India, using a metagenomic approach. Seven samples, differing in salinity levels and covering different seasons, were analysed to investigate the dynamics of microbial communities in relation to salinity and season. Metagenomic data generated using whole metagenome sequencing revealed that despite its very high salinity (4.11-30.79 %), the saline desert's microbiota had a rich microbial diversity that included all major phyla. Notably, 67 archaeal genera, representing more than 60 % of all known archaeal genera, were present in this ecosystem. A strong positive correlation (0.85) was observed between the presence of the extremely halophilic bacterium Salinibacter and salinity level. Taxonomic and functional comparisons of the saline desert metagenome with those of other publicly available metagenomes (i.e. sea, hypersaline lagoon, solar saltern, brine, hot desert) was carried out. The microbial community of the Kutch was found to be unique yet more similar to the sea biomes followed by hypersaline lagoon.

Metagenomics of petroleum muck: revealing microbial diversity and depicting microbial syntrophy.

Present study attempts in revealing taxonomic and functional diversity of microorganism from petroleum muck using metagenomics approach. Using Ion Torrent Personal Genome Machine, total of 249 Mb raw data were obtained which was analysed using MG-RAST platform. The taxonomic analysis revealed predominance of Proteobacteria with Gammaproteobacteria as major class and Pseudomonas stutzeri as most abundant organism. Several enzymes involved in aliphatic and aromatic hydrocarbon degradation through both aerobic and anaerobic routes and proteins related to stress response were also present. Comparison of our metagenome with the existing metagenomes from oil-contaminated sites and wastewater treatment plant indicated uniqueness of this metagenome taxonomically and functionally. Based on these results a hypothetical community model showing survival and syntrophy of microorganisms in hydrocarbon-rich environment is proposed. Validation of the metagenome data was done in three tiers by validating major OTUs by isolating oil-degrading microbes, confirmation of key genes responsible for hydrocarbon degradation by Sanger sequencing and studying functional dynamics for degradation of the hydrocarbons by the muck meta-community using GC-MS.

Oncolytic Activity of Canine Distemper Virus in Human Ductal Breast Carcinoma Cells.

INTRODUCTION: Oncolytic virotherapy is a novel strategy for cancer treatment in humans and companion animals. Canine distemper virus (CDV) is known to induce apoptosis in tumor cells, thus serving as a potential candidate for oncolytic therapy. However, the mechanism of viral oncolytic activity is less studied and varies depending on the type of cancer and cell lines. METHODS: In the present study, the susceptibility of the MCF-7 cell line to CDV infection was assessed using the CDV strain, which was confirmed previously through sequence analysis in the Vero cell line. The impact of CDV infection on cell proliferation and apoptosis was studied by evaluating the expression of four target genes including the myeloid cell leukemia 1 (MCL-1), phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), transcription factor (SP1), and DNA (cytosine-5)-methyltransferase 3A (DNMT3A). RESULTS: CDV replication in the cells induced cytopathic effect and decreased in the cell proliferation rates compared to the uninfected control. MCL-1, SP1, and PIK3R1 gene expression was down-regulated, while the expression of DNMT3A was up-regulated 3 days post-infection. The expression levels of the target genes suggest that CDV may be inducing the intrinsic apoptotic pathway in the cancer cell line. CONCLUSION: Overall, the results strongly propose CDV strain as a potential candidate for cancer therapy after detailed studies.

Exploring genetic landscape of low-density polyethylene degradation for sustainable troubleshooting of plastic pollution at landfills.

Plastic pollution increases globally due to the high volume of its production and inadequate mismanagement, leading to dumps in landfills affecting terrestrial and aquatic ecosystems. Landfills, as sink for plastics, leach various toxic chemicals and microplastics into the environment. We scrutinized the genetic expression for low-density polyethylene (LDPE) degradation via microorganisms to investigate cell viability and metabolic activities for biodegradation and genetic profiling. Samples were collected from the Pirana waste landfill at Ahmedabad, Gujarat, which is one of the largest and oldest municipal solid waste (MSW) dump sites in Asia. Results analyzed that isolated bacterial culture PN(A)1 (Bacillus cereus) is metabolically active on LDPE as carbon source during starvation conditions when incubated for up to 60 days, which was confirmed via 2,3,5-triphenyl-tetrazolium chloride (TTC) reduction test, reported cell viability and LDPE degradation. Abrasions, surface erosions, and cavity formations were analyzed via scanning electron microscopy (SEM), whereas the breakdown of high molecular polymers converted to low molecules, i.e., depolymerization, was also observed via Fourier-transform infrared (FTIR) spectroscopy over 90 days, along with changes in functional groups of carboxylic acids and aldehyde as well as the formation of polysulfide, aliphatic compounds, aromatic ethers, alcohols, and ether linkages. Further, transcriptomic analysis was performed via DESeq2 analysis to understand key gene expression patterns and pathways involved in LDPE degradation. During the initial phase of LDPE degradation, genes related to biological processes, like membrane transportation, ABC transporters, carbon and lipid metabolism, fatty acid degradation/oxidation, and TCA cycle, are likely to indicate pathways for stress response and molecular functions, like oxidoreductase, catalytic, lyase, transferase, and hydrolase activities were expressed. Interlinking between metabolic pathways indicates biodegradation process that mineralizes LDPE during subsequent incubation days. These pathways can be targeted for increasing the efficiency of LDPE degradation using microbes in future studies. Thus, considering microbial-mediated biodegradation as practical, eco-friendly, and low-cost alternatives, healthy biomes can degrade polymers in natural environments explored by understanding the genetic and enzymatic expression, connecting their role in the process to the likely metabolic pathways involved, thereby increasing the rate of their biodegradation.