Biology subjects

Ghosh, T.

Publications and source records attributed to Ghosh, T..

36 records · Page 2Linked to original sources

bioRxiv2024

ZNF574 is a Quality Control Factor For Defective Ribosome Biogenesis Intermediates

Eukaryotic ribosome assembly is an intricate process that involves four ribosomal RNAs, 80 ribosomal proteins, and over 200 biogenesis factors that take part in numerous interdependent steps. This complexity creates a large genetic space in which pathogenic mutations can occur. "Dead-end" ribosome intermediates that result from biogenesis errors are rapidly degraded, affirming the existence of quality control pathway(s) that monitor ribosome assembly. However, the factors that differentiate between on-path and dead-end intermediates are unknown. We engineered a system to perturb ribosome assembly in human cells and discovered that faulty ribosomes are degraded via the ubiquitin proteasome system. We identified ZNF574 as a key component of a novel quality control pathway, which we term the Ribosome Assembly Surveillance Pathway (RASP). Loss of ZNF574 results in the accumulation of faulty biogenesis intermediates that interfere with global ribosome production, further emphasizing the role of RASP in protein homeostasis and cellular health.

cell biology↗

bioRxiv2024

Blood immunophenotyping identifies distinct kidney histopathology and outcomes in patients with lupus nephritis

Lupus nephritis (LN) is a frequent manifestation of systemic lupus erythematosus, and fewer than half of patients achieve complete renal response with standard immunosuppressants. Identifying non-invasive, blood-based pathologic immune alterations associated with renal injury could aid therapeutic decisions. Here, we used mass cytometry immunophenotyping of peripheral blood mononuclear cells in 145 patients with biopsy-proven LN and 40 healthy controls to evaluate the heterogeneity of immune activation in patients with LN and to identify correlates of renal parameters and treatment response. Unbiased analysis identified 3 immunologically distinct groups of patients with LN that were associated with different patterns of histopathology, renal cell infiltrates, urine proteomic profiles, and treatment response at one year. Patients with enriched circulating granzyme B+ T cells at baseline showed more severe disease and increased numbers of activated CD8 T cells in the kidney, yet they had the highest likelihood of treatment response. A second group characterized primarily by a high type I interferon signature had a lower likelihood of response to therapy, while a third group appeared immunologically inactive by immunophenotyping at enrollment but with chronic renal injuries. Main immune profiles could be distilled down to 5 simple cytometric parameters that recapitulate several of the associations, highlighting the potential for blood immune profiling to translate to clinically useful non-invasive metrics to assess immune-mediated disease in LN.

immunology↗

bioRxiv2023

Regulation of Toxic RNA Foci and Repeat Expansion DMPK Transcripts: Role of MBNL Proteins and RNA Decay Pathways

Myotonic dystrophy type 1 (DM1) is a progressive, multisystemic disorder caused by an expansion of CTG repeats in the 3 untranslated region of the DMPK gene. When transcribed the mutant RNAs accumulate in affected tissues appearing as distinct foci when visualised by in situ hybridisation. The RNA foci are aggregates of CUG repeat-containing RNAs that sequester RNA-binding proteins, particularly muscleblind-like (MBNL) proteins, leading to their dysfunction and causing downstream molecular and cellular defects. Here we show the double knock-out of MBNL1 and 2 prevents RNA foci formation and nuclear retention of mutant DMPK mRNA in DM1 cells as well as promoting their degradation and nuclear export. Using stochastic optical reconstruction microscopy (STORM), we find the presence of both large foci and micro foci in DM1 cells. Large foci consist of multiple DMPK transcripts, while many micro foci are (CUG)n fragments. The absence of MBNL proteins not only prevents the aggregation of multiple DMPK transcripts into large foci, but also promotes their degradation and nuclear processing. However, although a substantial amount of MBNL1 proteins are bound to the mutant transcripts, the pools of free MBNL1 proteins are similar in DM1 nuclei to those in controls. Furthermore, we have identified several factors that are involved in the control of mutant DMPK mRNA turnover, including XRN2, EXOSC10, UPF1 and STAU1. Our study indicates that these factors are implicated in the RNA foci accumulation and the degradation of mutant DMPK mRNA. UPF1 and STAU1 may have additional roles beyond degradation, impacting the nuclear processing of mutant DMPK mRNA. Our study also highlights the critical role of MBNL proteins in regulating mutant DMPK mRNA metabolism: the absence of MBNLs in DM1 appears to expedite the processing of mutant DMPK mRNA mediated by these RNA decay factors. Significance statementOur investigations uncovered valuable data on the RNA foci dynamics in DM1, revealing the intricate mechanisms that underlie their formation, stability, and turnover. Our findings also contributed to delineate the complex pathways involved in the transportation and degradation of the mutant mRNA and provided insights into the critical role played by MBNL proteins in these processes. Studying the degradation mechanism of mutant DMPK mRNA in myotonic dystrophy may provide a foundation for comprehending the mechanisms of RNA degradation in other diseases caused by short tandem repeat (STR) mutations, such as Huntingtons disease, Fragile X syndrome, and several types of ataxia. Additionally, the use of cutting-edge STORM technology can provide a valuable tool for investigating RNA foci in other STR expansion disorders.

genetics↗

bioRxiv2023

Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis

Rheumatoid arthritis (RA) is a systemic autoimmune disease with currently no universally highly effective prevention strategies. Identifying pathogenic immune phenotypes in At-Risk populations prior to clinical disease onset is crucial to establishing effective prevention strategies. Here, we applied mass cytometry to deeply characterize the immunophenotypes in blood from At-Risk individuals identified through the presence of serum antibodies to citrullinated protein antigens (ACPA) and/or first-degree relative (FDR) status (n=52), as compared to established RA (n=67), and healthy controls (n=48). We identified significant cell expansions in At-Risk individuals compared with controls, including CCR2+CD4+ T cells, T peripheral helper (Tph) cells, type 1 T helper cells, and CXCR5+CD8+ T cells. We also found that CD15+ classical monocytes were specifically expanded in ACPA-negative FDRs, and an activated PAX5low naive B cell population was expanded in ACPA-positive FDRs. Further, we developed an "RA immunophenotype score" classification method based on the degree of enrichment of cell states relevant to established RA patients. This score significantly distinguished At-Risk individuals from controls. In all, we systematically identified activated lymphocyte phenotypes in At-Risk individuals, along with immunophenotypic differences among both ACPA+ and ACPA-FDR At-Risk subpopulations. Our classification model provides a promising approach for understanding RA pathogenesis with the goal to further improve prevention strategies and identify novel therapeutic targets.

genomics↗

bioRxiv2023

Formation of clathrin-pits and ATP-independent cholesterol-dependent tubules initiates mechano-regulation on de-adhesion.

Adherent cells ensure membrane homeostasis during de-adhesion by various mechanisms including endocytosis. Although mechano-chemical feedbacks involved in this process have been studied, the step-by-step build-up and resolution of the mechanical changes by endocytosis is not well understood. To investigate this, we study the de-adhesion of HeLa cells using a combination of interference reflection microscopy, optical-trapping and fluorescence experiments. We found that de-adhesion enhanced membrane height fluctuations of the basal membrane in the presence of an intact cortex. A reduction in the tether-force was also noted at the apical side. However, membrane fluctuations reveal phases of an initial drop in effective tension followed by a saturation. The area fractions of early (Rab5-labelled) and recycling (Rab4-labelled) endosomes as well as transferrin-labelled pits close to the basal plasma membrane also transiently increased. On blocking dynamin-dependent scission of endocytic pits, the regulation of fluctuations was not blocked but proceeded uncontrolled. Interestingly, the regulation could not be suppressed by ATP or cholesterol depletion individually but was arrested on depleting both. The data strongly supports pit-formation to be central to the reduction in fluctuations whether in normal or ATP depleted condition. Furthermore, while in normal conditions the contribution of clathrin-mediated endocytosis is clear, under ATP-depleted conditions we propose that cholesterol-dependent pits spontaneously regulate tension. SummaryWe show that during de-adhesion, cell edges retract, creating membrane folds and increasing fluctuations. Cells increase the rate of endocytosis to regulate back their membrane fluctuations. This is achieved by forming invaginations. Dynamin-dependent pathways are majorly involved, while cholesterol-dependent ATP-independent mechanisms also contribute.

biophysics↗

bioRxiv2023

Human antigen R differentially modulates the translation of SARS-CoV-2 genomic and sub-genomic RNAs

Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) viral RNA associates with different RNA-binding host proteins at each stage of its life cycle. We found sequence dependent binding of one such important protein, human antigen R (HuR) to SARS-CoV-2 5'UTR and studied its potential role in virus life cycle. The knockdown and knockout studies revealed importance of such binding in viral translation. We identified 5'-UTR mutations in SARS-CoV-2 variants of concern that altered the HuR-binding affinity. Interestingly, HuR enhanced non-structural protein translation through the genomic 5'-UTR, by promoting polypyrimidine tract-binding protein binding to the 5'-UTR. However, HuR suppressed the structural protein translation from sub genomic 5UTR. HuR knockout increased the sensitivity to remdesivir treatment by decreasing its half-maximal inhibitory concentration. An antisense oligonucleotide (whose binding site overlapped the HuR-binding site) reduced viral RNA levels in wild-type cells but not HuR-knockout cells. Our results indicate that HuR regulates the balance between SARS-CoV-2 structural and non-structural proteins and guides the infection of viral variants, implying that HuR can potentially be targeted for therapeutic interventions. Author SummaryViruses interacts with various host proteins throughout their life cycle. One significant protein is HuR, an RNA-binding protein that regulates RNA stability and translation. HuR binds to viral RNAs at the 5UTR or 3UTR, impacting their translation and replication. We identified conserved HuR binding sites in the SARS-CoV-2 5UTR across different beta coronaviruses. This binding enhanced the initiation of translation from the genomic 5 UTR, increasing the production of non-structural proteins essential for viral replication. Additionally, we discovered that another host protein, PTB, promotes HuR binding to the viral 5 UTR, facilitating its loading onto ribosomes. Conversely, HuR plays an antagonistic role concerning subgenomic RNAs (sgRNAs), which code for structural proteins, by regulating and limiting their levels. This dual regulation indicates that the virus exploits HuR for its benefit while the host employs it to control viral spread. Targeting HuR may help manipulate the SARS-CoV-2 life cycle. We found that HuR knockout increased sensitivity to the antiviral drug Remdesivir. Using an antisense oligonucleotide to block HuR binding effectively reduced viral RNA levels. Our findings highlight the critical role of HuR in regulating viral protein production and its potential as a therapeutic target.

microbiology↗

bioRxiv2022

Copper-independent lysosomal localization of the Wilson disease protein ATP7B

In hepatocytes, the Wilson disease protein ATP7B resides on trans-Golgi network and traffics to peripheral lysosomes to export excess intracellular copper through lysosomal exocytosis. We found that in basal copper or even upon copper chelation, a significant amount of ATP7B persists in endolysosomal compartment of hepatocytes but not in non-hepatic cells. These ATP7B-harboring lysosomes lie in close proximity of [~]10nm to the TGN. ATP7B constitutively distributes itself between the sub-domain of the TGN with a lower pH and the TGN-proximal lysosomal compartments. Presence of ATP7B on TGN-Lysosome colocalizing sites upon Golgi disruption suggested possible exchange of ATP7B directly between the TGN and its proximal lysosomes. Manipulating lysosomal positioning significantly alters the localization of ATP7B in the cell. Contrary to previous understanding, we found that upon copper chelation in a copper-replete hepatocyte, ATP7B is not retrieved back to TGN from peripheral lysosomes; rather, ATP7B recycles to these TGN-proximal lysosomes to initiate the next cycle of copper transport. We report a hitherto unknown copper-independent lysosomal localization of ATP7B and the importance of TGN-proximal lysosomes but not TGN as the terminal acceptor organelle of ATP7B in its retrograde pathway. SynopsisExcess copper is toxic to the cell. In hepatocytes, the Wilson disease protein ATP7B has been reported to recycle between the trans-Golgi network and lysosomes to export copper in elevated copper conditions. We, for the first time, show that a large fraction of ATP7B constitutively resides on the lysosome and rather, the position of the lysosome shifts from TGN-proximal to the peripheral region of the cell in high copper to facilitate ATP7B-mediated lysosomal exocytosis of copper.

cell biology↗

bioRxiv2022

FunSpace: A functional and spatial analytic approach to cell imaging data using entropy measures

Spatial heterogeneity in the tumor microenvironment (TME) plays a critical role in gaining insights into tumor development and progression. Conventional metrics typically capture the spatial differential between TME cellular architectures by either exploring the cell distributions in a pairwise fashion or aggregating the heterogeneity across multiple cell distributions without considering for the spatial contribution. As such, none of the existing approaches has fully accounted for the heterogeneity caused by both cellular diversity and spatial configurations of multiple cell categories. In this article, we propose an approach to leverage the spatial entropy measures at multiple distance ranges to account for the spatial heterogeneity across different cellular architectures. Then, functional principal component analysis (FPCA) targeting sparse data is applied to estimate FPC scores which are then predictors in a Cox regression model to investigate the impact of spatial heterogeneity in the TME on survival outcome, holding other clinical variables constant. Using an ovarian cancer dataset (n = 114) as a case study, we found that the spatial heterogeneity in the TME immune compositions of CD19+ B cells, CD4+ T cells, CD8+ T cells, and CD68+ macrophages, had a significant non-zero effect on the overall survival (p = 0.027). In the simulations studies under different spatial configurations, the proposed method demonstrated a high predictive power by accounting for both clinical effect and the impact of spatial heterogeneity.

bioinformatics↗

bioRxiv2022

A retroviral origin of vertebrate myelin

Myelin, the insulating sheath that surrounds neuronal axons, is produced by oligodendrocytes in the central nervous system (CNS). This evolutionary innovation, which first appears in jawed vertebrates, enabled rapid transmission of nerve impulses, more complex brains and greater morphological diversity. Here we report that RNA level expression of RNLTR12-int, a retrotransposon of retroviral origin, is essential for myelination. We show RNLTR12-int-encoded non-coding RNA binds to the transcription factor SOX10 to regulate transcription of myelin basic protein (Mbp, the major constituent of myelin) in rodents. RNLTR12-int like sequences (which we name RetroMyelin) are found in all jawed-vertebrates and we further demonstrate their function in regulating myelination in two different vertebrate phyla (zebrafish and frogs). Our study therefore suggests that retroviral endogenization was a key step in the emergence of vertebrate myelin.

neuroscience↗

bioRxiv2022

Consideration of genetic variation and evolutionary history in future conservation of Indian one-horned rhinoceros (Rhinoceros unicornis)

The extant members of the Eurasian rhino species have experienced severe population and range declines through a combination of natural and anthropogenic factors since Pleistocene. The one-horned rhino is the only Asian species recovered from such strong population decline but most of their fragmented populations in India and Nepal are reaching carrying capacity. Implementation of any future reintroduction-based conservation efforts would greatly benefit from currently unavailable detailed genetic assessments and evolutionary history of these populations. We sequenced wild one-horned rhino mitogenome from all the extant populations (n=16 individuals) for the first time, identified the polymorphic sites and assessed genetic variation (2531bp mtDNA, n=111 individuals) across India. Results showed 30 unique rhino haplotypes distributed as three distinct genetic clades (Fst value 0.68-1) corresponding to the states of Assam (n=28 haplotypes), West Bengal and Uttar Pradesh (both monomorphic). Phylogenetic analyses suggest earlier coalescence of Assam ([~]0.5 Mya) followed by parallel divergence of West Bengal and Uttar Pradesh/Nepal ([~]0.06-0.05Mya), supported by the paleobiogeographic history of the Indian subcontinent. Combined together, we propose recognising three Evolutionary Significant Units (ESUs) of Indian rhino. As recent assessments suggest further genetic isolations of Indian rhinos at local scales, future management efforts should focus on identifying genetically variable founder animals and consider periodic supplementation events while planning future rhino reintroduction programs in India. Such well-informed, multidisciplinary approach is the only way to ensure evolutionary, ecological and demographic stability of the species across its range.

ecology↗

bioRxiv2021

DenVar: Density-based Variation analysis of multiplex imaging data

Multiplex immunohistochemistry (mIHC) and multiplexed ion beam imaging (MIBI) platforms have become increasingly popular for studying complex single-cell biology in the tumor microenvironment (TME) of cancer subjects. Studying the intensity of the proteins that regulate important cell-functions, often known as functional markers, in the TME becomes extremely crucial for subject-specific assessment of risks, such as risk of recurrence and risk of death. The conventional approach requires selection of two thresholds, one to define the cells of the TME as positive or negative for a particular functional marker, and the other to classify the subjects based on the proportion of the positive cells. The selection of the thresholds has a large impact on the results and an arbitrary selection can lead to an incomprehensible conclusion. In light of this problem, we present a threshold-free distance between the subjects based on the probability densities of the functional markers. The distance can be used to classify the subjects into meaningful groups or can be used in a linear mixed model setup for testing association with clinical outcomes. The method gets rid of the subjectivity bias of the thresholding-based approach, enabling an easier but interpretable analysis of these types of data. With the proposed method, we analyze a lung cancer dataset from an mIHC platform, finding the difference in the density of functional marker HLA-DR to be significantly associated with the overall survival. The approach is also applied on an MIBI triple-negative breast cancer dataset to analyze effects of multiple functional markers. Finally, we demonstrate the reliability of our method through extensive simulation studies.

bioinformatics↗

bioRxiv2021

PaIRKAT: A pathway integrated regression-based kernel association test with applications to metabolomics and COPD phenotypes

High-throughput data such as metabolomics, genomics, transcriptomics, and proteomics have become familiar data types within the "-omics" family. For this work, we focus on subsets that interact with one another and represent these "pathways" as graphs. Observed pathways often have disjoint components, i.e. nodes or sets of nodes (metabolites, etc.) not connected to any other within the pathway which notably lessens testing power. In this paper we propose the Pathway Integrated Regression-based Kernel Association Test (PaIRKAT), a new kernel machine regression method for incorporating known pathway information into the semi-parametric kernel regression framework. This paper also contributes an application of a graph kernel regularization method for overcoming disconnected pathways. By incorporating a regularized or "smoothed" graph into a score test, PaIRKAT is capable of providing more powerful tests for associations between biological pathways and phenotypes of interest and will be helpful in identifying novel pathways for targeted clinical research. We evaluate this method through several simulation studies and an application to real metabolomics data from the COPDGene study. Our simulation studies illustrate the robustness of this method to incorrect and incomplete pathway knowledge, and the real data analysis shows meaningful improvements of testing power in pathways. PaIRKAT was developed for application to metabolomic pathway data, but the techniques are easily generalizable to other data sources with a graph-like structure. Author SummaryPaIRKAT is a tool for improving testing power on high dimensional data by including graph topography in the kernel machine regression setting. Studies on high dimensional data can struggle to include the complex relationships between variables. The semi-parametric kernel machine regression model is a powerful tool for capturing these types of relationships. They provide a framework for testing for relationships between outcomes of interest and high dimensional data such as metabolomic, genomic, or proteomic pathways. Our paper proposes PaIRKAT, a method for including known biological connections between high dimensional variables by representing them as edges of graphs or networks. It is common for nodes (e.g. metabolites) to be disconnected from all others within the graph, which leads to meaningful decreases in testing power whether or not the graph information is included. We include a graph regularization or smoothing approach for managing this issue. We demonstrate the benefits of this approach through simulation studies and an application to the metabolomic data from the COPDGene study.

bioinformatics↗

bioRxiv2020

Naturally secreted bacterial outer membrane vesicles: potential platform for a vaccine against Campylobacter jejuni

Acute diarrheal illness and gastroenteritis caused by Campylobacter jejuni (C. jejuni) infection remain significant public health risks in developing countries with substantial mortality and morbidity in humans, particularly in children under the age of five. Despite improved global awareness in sanitation and hygiene practices, including food safety measures, C. jejuni infections continue to rise even across the developed nations and no vaccine is currently available for humans. Genetic diversities among C. jejuni strains as well as limited understanding of immunological correlates of host protection remain primary impediments for developing an effective vaccine against C. jejuni. Given the role of bacterial outer membrane-associated proteins in intestinal adherence and invasion as well as modulating dynamic interplay between host and pathogens, bacterial outer membrane vesicles (OMVs) have emerged as potential vaccine platforms against a number of enteric pathogens, including C. jejuni. In the present study, we describe a mucosal vaccine strategy using chitosan (CS) coated OMVs (CS-OMVs) to induce specific immune responses against C. jejuni in mice. However, considering the challenges of mucosal delivery of OMVs in terms of exposure to variable pH, risk of enzymatic degradation, rapid gut transit, and low permeability across the intestinal epithelium, we preferentially used CS as a non-toxic, mucoadhesive polymer to coat OMVs. Mucosal administration of CS-OMVs induced high titre of systemic (IgG) and local (secretory IgA) antibodies in mice. The neutralizing ability of secretory IgA (sIgA) produced in the intestine was confirmed by in vitro inhibition of cell adherence and invasion of C. jejuni while in vivo challenge study in OMVs immunized mice showed a significant reduction in cecal colonization of C. jejuni. Moreover, to investigate the immunological correlates of the observed protection, present data suggest OMVs driven T cell proliferation with an increased population of CD4+ and CD8+ T cells. In addition to antibody isotype profile, significant upregulation of IFN-{gamma} and IL-6 gene expression in mesenteric lymph nodes collected from OMVs immunized mice further suggests that mucosal delivery of OMVs promotes a Th1/Th2 mixed type immune responses. Together, we provide strong experimental evidence that as an acellular and non-replicating canonical end product of bacterial secretion, mucosal delivery of OMVs may represent a promising platform for developing an effective vaccine against C. jejuni. Author SummaryDespite the loss of 7.5 million disability-adjusted life years, which is over and above any other globally prevalent enteric or enterotoxigenic pathogens, C. jejuni remains a neglected foodborne pathogen, particularly in tropical countries. Even with the improved global awareness in sanitation and hygiene practices, including food safety measures C. jejuni infections continue to rise globally and no vaccine is currently available for humans. In light of the importance of the diverse cargo selection by bacterial OMVs, the present study describes a mucosal vaccine strategy using chitosan-coated OMVs to induce specific immune responses against C. jejuni in mice. We provide here strong experimental evidence that as a non-replicating canonical end product of bacterial secretion, mucosal delivery of OMVs represents an attractive vaccine platform against C. jejuni.

immunology↗

bioRxiv2020

Dynamics of the COVID -19 Related Publications

BackgroundThis study aims to analyze the dynamics of the published articles and preprints of Covid-19 related literature from different scientific databases and sharing platforms. MethodsThe PubMed, Elsevier, and Research Gate (RG) databases were under consideration in this study over a specific time. Analyses were carried out on the number of publications as (a) function of time (day), (b) journals and (c) authors. Doubling time of the number of publications was analyzed for PubMed "all articles" and Elsevier published articles. Analyzed databases were (1A) PubMed "all articles" (01/12/2019-12/06/2020) (1B) PubMed Review articles (01/12/2019-2/5/2020) and (1C) PubMed Clinical Trials (01/01/2020-30/06/2020) (2) Elsevier all publications (01/12/2019-25/05/2020) (3) RG (Article, Pre Print, Technical Report) (15/04/2020-30/4/2020). FindingsTotal publications in the observation period for PubMed, Elsevier, and RG were 23000, 5898 and 5393 respectively. The average number of publications/day for PubMed, Elsevier and RG were 70.0 {+/-}128.6, 77.6{+/-}125.3 and 255.6{+/-}205.8 respectively. PubMed shows an avalanche in the number of publication around May 10, number of publications jumped from 6.0{+/-}8.4/day to 282.5{+/-}110.3/day. The average doubling time for PubMed, Elsevier, and RG was 10.3{+/-}4 days, 20.6 days, and 2.3{+/-}2.0 days respectively. In PubMed average articles/journal was 5.2{+/-}10.3 and top 20 authors representing 935 articles are of Chinese descent. The average number of publications per author for PubMed, Elsevier, and RG was 1.2{+/-}1.4, 1.3{+/-}0.9, and 1.1{+/-}0.4 respectively. Subgroup analysis, PubMed review articles mean and median review time for each article were <0|17{+/-}17|77> and 13.9 days respectively; and reducing at a rate of-0.21 days (count)/day. InterpretationAlthough the disease has been known for around 6 months, the number of publications related to the Covid-19 until now is huge and growing very fast with time. It is essential to rationalize the publications scientifically by the researchers, authors, reviewers, and publishing houses. FundingNone

scientific communication and education↗

bioRxiv2020

An in-silico study on SARS-CoV-2: Its compatibility with human tRNA pool, and the polymorphism arising in a single lineage over a month

SARS-CoV-2 has caused a global pandemic that has costed enormous human lives in the recent past. The present study is an investigation of the viral codon adaptation, ORFs stability and tRNA co-adaptation with humans. We observed that for the codon usage bias in viral ssRNA, ORFs have near values of folding free energies and codon adaptation index with mRNAs of the human housekeeping CDS. However, the correlation between the stability of the ORFs in ssRNA and CAI is stronger than the mRNA stability and CAI of HKG, suggesting a greater expression capacity of SARS-CoV-2. Mutational analysis reflects polymorphism in the virus for ORF1ab, surface glycoprotein and nucleocapsid phosphoprotein ORFs. Non-synonymous mutations have shown non-polar substitutions. Out of the twelve mutations nine are for a higher t-RNA copy number. Viruses in general have high mutation rates. To understand the chances of survival for the mutated SARS-CoV-2 we did simulation for synonymous mutations. It resulted in 50% ORFs with higher stability than their native equivalents. Thus, considering only the synonymous mutations the virus can exhibit a lot of polymorphism. Collectively our data provides new insights for SARS-CoV-2 mutations and the human t-RNA compatibility. SignificanceSurvivability of SARS-CoV-2 in humans is essential for its spread. It has overlapping genes exhibiting a high codon optimization with humans even after a higher codon usage bias. They seem to possess cognizance for high copy number t-RNA (cognate or near-cognate) in humans, while mutating. Even though, it has been well established that native transcripts posses the highest stability, our in-silico studies show that SARS-CoV-2 under mutations give rise to ORFs with higher stability. These results significantly present the viruss ability and the credibility of survival for the mutants. Despite its focus on a geographical location it explains the ongoing behavior of SARS-CoV-2 for a steady existence in humans as all the different lineages have a common origin. Wuhan, China.

bioinformatics↗

bioRxiv2019

A practive faeces collection protocol for multidisciplinary research in wildlife science

Faecal samples have become important non-invasive source of information in wildlife biology and ecological research. Despite regular use of faeces, there is no universal protocol available for faeces collection and storage to answer various questions in wildlife biology. We collected 1408 faeces from ten different species using a dry sampling approach, and achieved 94.87% and 86.02% success rate in mitochondrial and nuclear marker amplifications. We also suggest a universal framework to use the same samples for different use. This protocol provides an easy, quick and cheap option to collect non-invasive samples from species living at different environmental conditions to answer multidisciplinary questions in wildlife biology.

ecology↗

bioRxiv2018

Gut microbiome recovery after antibiotic usage is mediated by specific bacterial species

Dysbiosis in the gut microbiome due to antibiotic usage can persist for extended periods of time, impacting host health and increasing the risk for pathogen colonization. The specific factors associated with variability in gut microbiome recovery remain unknown. Using data from 4 different cohorts in 3 continents comprising >500 microbiome profiles from 117 subjects, we identified 20 bacterial species exhibiting robust association with gut microbiome recovery post antibiotic therapy. Functional and growth analysis showed that microbiome recovery is supported by enrichment in carbohydrate degradation and energy production capabilities. Association rule mining on 782 microbiome profiles from the MEDUSA database enabled reconstruction of the gut microbial food-web, identifying many recovery-associated bacteria (RABs) as primary colonizing species, with the ability to use both host and diet-derived energy sources, and to break down complex carbohydrates to support the growth of other bacteria. Experiments in a mouse model recapitulated the ability of RABs (Bacteroides thetaiotamicron and Bifidobacterium adolescentis) to promote microbiome recovery with synergistic effects, providing a two orders of magnitude boost to microbial abundance in early time-points and faster maturation of microbial diversity. The identification of specific microbial factors promoting microbiome recovery opens up opportunities for rationally fine-tuning pre- and probiotic formulations that prevent pathogen colonization and promote gut health.

genomics↗

bioRxiv2017

Sporosarcina pasteurii can form nanoscale crystals on cell surface

Using a semi-solid 0.5% agar column, we study the phenomenon of microbially induced mineral (calcium carbonate) by the bacteria Sporosarcina pasteurii. Our platform allows for in-situ visualization of the phenomena, and we found clear evidence of bacterial cell surface facilitating formation of nanoscale crystals. Moreover, in the bulk agar we found the presence of microspheres, which seem to arise from an aggregation of nanoscale crystals with needle like morphology. Extensive chemical characterization confirmed that the crystals to be calcium carbonate, and two different polymorphs (calcite and vaterite) were identified.

biophysics↗