bioRxiv Science⌕ Search

Biology subjects

Sultana, M.

Publications and source records attributed to Sultana, M..

At least 19 recordsLinked to original sources

Kappa Prophage Impacts Vibrio cholerae Fitness and is Restricted by BREX Phage Defense System

Vibrio cholerae's pathogenicity largely stems from the acquisition of cholera toxin genes via lysogenic conversion mediated by the CTX prophage. However, the strong association of other prophages with epidemic strains has not been linked to lysogenic conversion. During the first wave of the seventh cholera pandemic, the Kappa prophage was commonly found in clinical isolates and was later shown to confer a competitive fitness advantage in the environment and to accelerate evolution by stimulating horizontal gene transfer; however, its role in virulence remains unknown. Here, we report that the Kappa prophage confers a competitive fitness advantage in vitro and during intestinal tract infection in both Wave 1 and Wave 3 strains. This competitive fitness advantage is due to phage predation on neighboring cells, and not to lysogenic conversion. Furthermore, we show that loss of Kappa coincides with the acquisition of novel phage defense systems from SXT ICEs VchBan9 and VchInd5. Phage defense systems BREX and AbiC inhibited Kappa predation and restricted horizontal gene transfer, thereby reducing Kappas competitive fitness advantage.

microbiology↗

Generative Language Modeling for Antibody CDR Grafting and Alignment-driven De Novo Design

Antibodies recognise their targets through hypervariable complementarity-determining regions (CDRs), which are interleaved with conserved frameworks in sequence space, making de novo CDR design an infilling problem. Autoregressive models generate residues left-to-right, which precludes full framework context during CDR generation and conflates framework and CDR likelihoods, leaving no natural prompt-response interface for feedback to steer generation. We present GenCDR, a family of LLaMa-based autoregressive language models that read all frameworks as a conditioning prompt and generate all CDRs jointly as a variable-length response, making CDR likelihoods a clean, separable target for reward attribution. The family comprises IgGenCDR, p-IgGenCDR, and NanoGenCDR, trained on unpaired, paired, and nanobody chains, respectively. GenCDR achieves the highest CDR recovery among autoregressive models and produces natural, diverse, human-like CDRs whose likelihoods correlate with fitness and developability assays. The prompt-response boundary also enables principled alignment: reward signals for binding affinity, expression, or developability can be composed to steer CDR generation. Over four rounds of alignment against antibody-antigen co-folding and developability objectives, we find that NanoGenCDR, which uses no explicit antigen encoding, can reach in silico structural interface metrics competitive with those of a structure-conditioned diffusion pipeline at roughly half the sampling budget, with more natural, developable designs. The same interface can be extended to integrate experimental feedback, opening a path to closed-loop antibody de novo design.

synthetic biology↗

Earth-Observation and Environmental Vision Transformers Reveal Genome-Environment Associations in Macroalgae

Macroalgae thrive in extreme environments, yet the genomic basis of their tolerance remains poorly resolved. We describe nine Arabian Gulf macroalgae and integrate them with 117 published genomes (126 total; 70 Rhodophyta, 43 Ochrophyta, 13 Chlorophyta) to test genome-environment associations. Google Earth Engine (GEE) for broad-scale oceanography and 10-meter resolution AlphaEarth Foundations (AEF) embeddings for fine-scale habitat heterogeneity. We identified 157 significant (FDR q < 0.05) correlations with global GEE variables--including a strong negative temperature association with DUF3570--while AEF embeddings uncovered over 1,000 lineage-specific signals within Rhodophyta and identified climate-driven Pfam modules. The von Willebrand factor type-A domain emerged as uniquely robust across all frameworks and enriched in Arabian Gulf species. In the Arabian Gulf, enrichment of this domain is consistent with selection for adhesion mechanisms capable of withstanding chronic hydrodynamic stress compounded by high temperature and salinity. These results demonstrate that converging remote sensing with deep learning identifies conserved and lineage-specific genomic signatures of ecological differentiation across diverse macroalgal lineages.

genomics↗

Distinct depressive-like behavioural phenotypes in mice exhibit unique patterns of transcriptional perturbations across habenular cell subtypes

Major depressive disorder arises from diverse neurobiological mechanisms, yet how specific habenular cell types contribute to distinct depressive-like behaviours remains unclear. Using chronic social defeat stress, behavioural phenotyping, and single-cell RNA sequencing, we mapped stress-induced transcriptional changes across habenular cell types and lateral habenula (LHb) subregions. Our findings reveal that each behavioural phenotype is marked by its own transcriptional profile. These subregion-specific patterns across the LHb suggest that different cellular circuits contribute uniquely to depressive-like states.

neuroscience↗

Multi-omics decipher the molecular mechanisms driving high-lipid production in an artificially-evolved Chlamydomonas mutant

Enhancing lipid accumulation in microalgae is critical for commercial viability but often compromises growth. We previously identified an artificially evolved Chlamydomonas reinhardtii mutant (H5) that retains wild-type growth (CC-503) while producing significantly more lipids. Here, we present multi-omic analyses that elucidate the molecular basis of this phenotype. Whole-genome sequencing revealed over 3,000 mutations in H5, including 45 in protein-coding genes (e.g., phosphofructokinase, acyl-carrier protein, glycerol kinase). Six corresponding CLiP insertion mutants also showed elevated lipid content. Transcriptomics revealed upregulation of key genes for glycolysis, nutrient uptake, and proliferation (e.g., pyruvate carboxylase, carbonic anhydrase) under nutrient-replete conditions. Metabolomics identified a striking increase in malonate, a metabolite that supports fatty acid synthesis and cell proliferation. Epigenomic profiling showed hypomethylation in triacylglycerol (TAG) biosynthesis genes and hypermethylation in energy balance regulators. Together, these data suggest that accelerated glycolysis and streamlined metabolism drive lipid accumulation in H5 without compromising growth. Our findings provide a blueprint for engineering high-lipid microalgal strains for industrial applications. HIGHLIGHTSO_LIHigh-lipid Chlamydomonas mutant (H5) exhibits cancer-like metabolism: pseudo-hypoxia and nutrient deprivation response C_LIO_LIMulti-omics reveals 45 high-impact mutations synergistically enhance lipid production in H5 C_LIO_LISix CLiP mutants of H5-disrupted genes showed significantly increased lipid content C_LIO_LIMalonate levels increased 10-fold in H5, indicating altered mitochondrial function C_LIO_LIH5 upregulates glycolytic genes while maintaining wild-type growth rates C_LIO_LITranscriptomes from H5 and CC-503 converge after nitrogen deprivation despite replete-state differences C_LIO_LIH5 shows altered lipid composition with increased TAG diversity, decreased DAGs C_LIO_LIEpigenomic profiling reveals 14,720 differentially methylated transcribed regions in H5 C_LI

genomics↗

Aeromonas: Genomic Insights into an Environmental Pathogen and Reservoir of Antimicrobial Resistance

Aeromonads are an ecologically versatile group of bacteria that cause infection in aquatic animals and are recognised as an emerging human pathogen. Despite this, our understanding of Aeromonas diversity, especially the relationship between clinical and environmental strains, remains limited. Here, we present a complete view of the Aeromonas genus, comprising 1,853 genomes, and a detailed comparison of clinical and environmental strains from South Asia, including 996 newly sequenced genomes from Bangladesh and India. Phylogenetic analyses revealed that Aeromonas is a highly diverse genus, with no distinct clade separating clinical and environmental isolates. We identified 28 Aeromonas species and 905 novel sequence types, comprising 72.5% of the genomes. Notably, we show a high incidence of AMR genes across all isolates, including against front and last-line antibiotics. Finally, we highlight frequent misidentification of Aeromonas as Vibrio cholerae, key to cholera-endemic regions where both genera co-exist and are associated with diarrhoeal disease. Our study underscores Aeromonas as an important environmental AMR reservoir and emerging multi-species pathogen capable of spilling over into human populations.

genomics↗

Capturing dynamic phage-pathogen coevolution by clinical surveillance

Bacteria harness diverse defense systems that protect against phage predation1, many of which are encoded on horizontally transmitted mobile genetic elements (MGEs)2. In turn, phages evolve counter-defenses3, driving a dynamic arms race that remains underexplored in human disease contexts. For the diarrheal pathogen Vibrio cholerae, a higher burden of its lytic phage, ICP1, in patient stool correlates with reduced disease severity4. However, direct molecular evidence of phage-driven selection of epidemic V. cholerae has not been demonstrated. Here, through clinical surveillance in cholera-endemic Bangladesh, we capture the acquisition of a parasitic anti-phage MGE, PLE11, that initiated a selective sweep coinciding with the largest cholera outbreak in recent records. PLE11 exhibited potent anti-phage activity against co-circulating ICP1, explaining its rapid and dominating emergence. We identify PLE11-encoded Rta as the novel defense responsible and provide evidence that Rta restricts phage tail assembly. Using experimental evolution, we predict phage counteradaptations against PLE11 and document the eventual emergence and selection of ICP1 that achieves a convergent evolutionary outcome. By probing how PLEs hijack phage structural proteins to drive their horizontal transmission while simultaneously restricting phage tail assembly, we discover that PLEs manipulate tail assembly to construct chimeric tails comprised of MGE and phage-encoded proteins. Collectively, our findings reveal the molecular basis of the natural selection of a globally significant pathogen and its virus in a clinically relevant context.

microbiology↗

Temporal and spatial distribution of microbial community in urban river in Dhaka

Buriganga River in central Bangladesh represents a complex ecosystem with extreme pollution and altered water quality. It is well known that microorganisms play a key role in regulating the function and health of aquatic ecosystems. Microbial activities also have a direct impact on biogeochemical cycling and degradation of pollutants. Despite numerous studies on the physicochemical parameters of the water quality of this central river, a comprehensive understanding of microbial diversity and the impact of waters physicochemical properties on bacterial community structure is not well documented. Therefore, the present investigation was done to elucidate the spatial and temporal shifts of microbial communities in the Buriganga River water in correlation to different physicochemical factors as well as heavy metal content. A total of 13 distinct sampling sites (from Amin Bazar Bridge to Postogola Cantonment B-C Friendship Bridge) encompassing a length of approximately 19 km along the rivers centre were selected to gather the sample seasonally during pre-monsoon, monsoon, post-monsoon, and winter. 16S rRNA gene-based metagenomics analysis revealed significant variation of bacterial diversity in winter rather than the rest of the three seasons with minimal variation suggesting stable geochemical cycles. Also, microbial diversity was higher at sampling points downstream compared to upstream along the river with overall dominance of Proteobacteria and Firmicutes. Physicochemical water quality parameters analysis identified Zn, TP (Total phosphate), BOD, and COD as key factors influencing bacterial community diversity and composition, although they were not the sole contributors. At the heavily polluted Lohar Bridge (10CS) site, significant nitrogen cycle disruption was evident. The high abundance of metal and antibiotic-resistant bacteria genera such as Pseudomonas, Ralstonia, and Acinetobacter at specific sampling positions indicated a relation between antibiotic and heavy metal pollution from adjacent hospitals and industrial effluent release points. The prevalence of metabolically unique bacteria such as Geobacter and Dehalococcoides, that are well known for utilizing specific heavy metals like iron and uranium as well as chlorinated compounds, might indicate the selective pressure of metal pollution from nearby working factories/industries. The investigation also identified potential pathogens like Arcobacter, Acinetobacter, and Pseudomonas, posing potential risks to both the environment and human health. Therefore, the Buriganga River belt serves as a potential hub for metal-antibiotic tolerant/resistant species with a direct influence on indigenous river-flowing communities correlating unique nutrient/geochemical cycling. The overall microbial community reflects unrestricted pollution in Buriganga central river aggravating water quality for regular use, indicating urgent intervention. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/625349v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@509d47org.highwire.dtl.DTLVardef@85d0b0org.highwire.dtl.DTLVardef@14813b5org.highwire.dtl.DTLVardef@105d1c1_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSignificant bacterial diversity was observed during winter compared to the other three seasons (Premonsoon, monsoon, and post monsoon). Zn, TP, BOD, and COD were found to be key factors influencing the diversity and composition of the bacterial community. Disruption of the nitrogen cycle was evident at the heavily polluted monitoring point. Potential pathogens were identified that may pose risks to both the environment and human health.

genomics↗

The Role of Morphological Adaptability in Vibrio cholerae's Motility and Pathogenicity

Vibrio cholerae, the etiological agent of cholera, exhibits remarkable adaptability to different environmental conditions by undergoing morphological changes that significantly contribute to its pathogenicity and impact the epidemiology of the disease globally. This study investigates the morphological adaptability of the clinically isolated V. cholerae O1 strain, specifically focusing on the motility and pathogenicity differences between the filamentous and original comma-shaped forms within diverse viscosity conditions. Utilizing the El Tor strain of V. cholerae O1, we induced the transformation into the filamentous form and performed a comparative analysis with the canonical comma-shaped morphology. Our approach involved assessing motility patterns, swimming speeds, rotation rates, kinematics, and reversal frequencies through dark-field microscopy and high-speed imaging techniques. The findings reveal that filamentous V. cholerae cell retains enhanced motility in viscous environments. This suggests an evolutionary adaptation enabling survival across a range of habitats, notably the human gastrointestinal tract. Filamentous forms demonstrated increased reversal behavior at mucin interfaces, hinting at an advantage in penetrating the mucus layer. Rabbit intestinal loop assays further showed that both morphological forms exhibit similar fluid accumulation ratios, thus indicating comparable pathogenic potentials. These results underscore the significance of V. choleraes morphological flexibility in adapting to environmental viscosity changes, shedding light on the bacteriums intricate survival and infection strategies. Our study provides critical insights into the dynamics of cholera, underlining the importance of considering bacterial morphology in developing effective cholera control strategies.

microbiology↗

Genomic diversity and molecular epidemiology of a multidrug resistant Pseudomonas aeruginosa DMC30b isolated from hospitalized burn patient in Bangladesh

ObjectivesPseudomonas aeruginosa is a key opportunistic pathogen causing a wide range of community- and hospital-acquired infections in immunocompromised or catheterized patients. Here, we report the complete genome sequence of a multidrug resistant (MDR) P. aeruginosa DMC30b in order to elucidate the genetic diversity, molecular epidemiology, and underlying mechanisms for antimicrobial resistance and virulence. MethodsP. aeruginosa DMC30b was isolated from septic wound swab of a severe burn patient. Whole-genome sequencing (WGS) was performed under Ion Torrent platform. The genome was annotated using the SPAdes v. 3.12.01 in an integrated Genome Analysis Platform (IonGAP) for Ion Torrent sequence data. The genome was annotated using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP). In-silico predictions of antimicrobial resistance genes (ARGs), virulence factor genes (VFGs) and metabolic functional potentials were performed using different curated bioinformatics tools. ResultsP. aeruginosa DMC30b was classified as MDR and belongs to sequence type 244 (ST244). The complete genome size is 6,994,756 bp with a coverage of 76.76x, G+C content of 65.7% and a BUSCO (Benchmarking Universal Single-Copy Orthologs) score of 100. The genome of P. aeruginosa DMC30b harboured two plasmids (e,g., IncP-6 plasmid p10265-KPC; 78,007 bp and ColRNAI_pkOIISD1; 9,359 bp), 35 resistomes (ARGs) conferring resistance to 18 different antibiotics (including four beta-lactam classes), and 214 VFGs. It was identified as the 167th ST244 strain among [~] 5,800 whole-genome sequences of P. aeruginosa available in the NCBI database. ConclusionP. aeruginosa DMC30b belongs to ST244 and was identified as the 167th such isolate to be submitted to NCBI, and the first complete ST244 genome from Bangladesh. The complete genome data with high genetic diversity and underlying mechanisms for antimicrobial resistance and virulence of P. aeruginosa DMC30b (ST244) will aid in understanding the evolution and phylogeny of such high-risk clones and provide a solid basis for further research on MDR or extensively drug resistant strains.

microbiology↗

Genomic characteristics of recently recognized Vibrio cholerae El Tor lineages associated with cholera in Bangladesh, 1991-2017

Comparative genomic analysis of Vibrio cholerae El Tor associated with endemic cholera in Asia revealed two distinct lineages, one dominant in Bangladesh and the other in India. An in depth whole genome study of V. cholerae El Tor clinical strains isolated during endemic cholera in Bangladesh (1991 - 2017) included reference genome sequence data obtained online. Core genome phylogeny established using single nucleotide polymorphisms (SNPs) showed V. cholerae El Tor strains comprised two lineages, BD-1 and BD-2, which, according to Bayesian phylodynamic analysis, originated from paraphyletic group BD-0 around 1981. BD-1 and BD-2 lineages overlapped temporally but were negatively associated as causative agents of cholera 2004-2017. Genome wide association study (GWAS) revealed 140 SNPs and 31 indels, resulting in gene alleles unique to BD-1 and BD-2. Regression analysis of root to tip distance and year of isolation indicated early BD-0 strains at the base, whereas BD-1 and BD-2 subsequently emerged and progressed by accumulating SNPs. Pangenome analysis provided evidence of gene acquisition by both BD-1 and BD-2, of which six crucial proteins of known function were predominant in BD-2. BD-1 and BD-2 diverged and have distinctively different genomic traits, namely heterogeneity in VSP-2, VPI-1, mobile elements, toxin encoding elements, and total gene abundance. In addition, the observed phage-inducible chromosomal island-like element (PLE1), and SXT ICE elements (ICETET) in BD-2 presumably provided a fitness advantage for the lineage to outcompete BD-1 as the etiological agent of the endemic cholera in Bangladesh, with implications for global cholera epidemiology. ImportanceCholera is a global disease with specific reference to the Bay of Bengal Ganges Delta where Vibrio cholerae O1 El Tor, causative agent of the disease showed two circulating lineages, one dominant in Bangladesh and the other in India. Results of in-depth genomic study of V. cholerae associated with endemic cholera during the past 27 years (1991 - 2017) indicate emergence and succession of the two lineages, BD-1 and BD-2, arising from a common ancestral paraphylatic group, BD-0, comprising the early strains and short-term evolution of the bacterium in Bangladesh. Among the two V. cholerae lineages, BD-2 supersedes BD-1 and is predominant in the most recent endemic cholera in Bangladesh. The BD-2 lineage contained significantly more SNPs and indels, and showed richness in gene abundance, including antimicrobial resistance genes, gene cassettes, and PLE to fight against bacteriophage infection, acquired over time. These findings have important epidemic implications at a global scale.

genomics↗

Vibrio cholerae El Tor strains linked to global cholera are homogeneous by pulsed-field gel electrophoresis

Vibrio cholerae O1 El Tor, causative agent of the ongoing seventh cholera pandemic, is native to the aquatic environment of the Ganges Delta, Bay of Bengal (GDBB). Recent studies traced pandemic strains to the GDBB and proposed global spread of cholera had occurred via intercontinental transmission. In the research presented here, NotI-digested genomic DNA extracted from V. cholerae O1 clinical and environmental strains isolated in Bangladesh during 2004 - 2014 was analyzed by pulsed-field gel electrophoresis (PFGE). Results of cluster analysis showed 94.67% of the V. cholerae isolates belonged to clade A and included the majority of clinical isolates of spatio-temporal origin and representing different cholera endemic foci. The rest of the strains were estuarine, all environmental isolates from Mathbaria, Bangladesh, and occurred as singletons, clustered in clades B and C, or in the small clades D and E. Cluster analysis of the Bangladeshi strains and including 157 El Tor strains from thirteen countries in Asia, Africa, and the Americas revealed 85% of the total set of isolates belonged to clade A, indicating all were related, yet did not form an homogeneous cluster. Overall, 15% of the global strains comprised multiple small clades or segregated as singletons. Three sub-clades could be discerned within the major clade A, reflecting distinct lineages of V. cholerae El Tor associated with cholera in Asia, Africa, and the Americas. The presence in Asia and the Americas of non-pandemic V. cholerae El Tor populations differing by PFGE and from strains associated with cholera globally suggests different ecotypes are resident in distant geographies. Author SummaryCholera is a major health threat, especially in the Ganges Delta, Bay of Bengal (GDBB). Vibrio cholerae, causative agent of cholera, is native to the GDBB aquatic environment. Recent genomic studies suggest GDBB is the cholera hotspot where the disease spreads globally via human activity. Pulsed-field gel electrophoresis (PFGE) of NotI-digested genomic DNA from V. cholerae El Tor endemic cholera strains was done, including Bangladesh aquatic environment and clinical strains from distant geographical regions representing three cholera-prone continents. Results showed the majority of pandemic strains belonged to a major cluster, suggesting clonal relatedness. Ecotypes were detected, indicating geographically specific lineages. It is concluded that epidemic strains in Bangladesh and thirteen countries of Asia, Africa, and the Americas are geographically adapted, with independent evolution of the bacterium in respective geographical regions.

molecular biology↗

Evolutionary sweeps of subviral parasites and their phage host bring unique parasite variants and disappearance of a phage CRISPR-Cas system

Vibrio cholerae is a significant threat to global public health in part due to its propensity for large-scale evolutionary sweeps where lineages emerge and are replaced. These sweeps may originate from the Bay of Bengal where bacteriophage predation and the evolution of anti-phage counter defenses is a recurring theme. The bacteriophage ICP1 is a key predator of epidemic V. cholerae and is notable for acquiring a CRISPR-Cas system to combat PLE, a defensive subviral parasite encoded by its V. cholerae host. Here we describe the discovery of five previously unknown PLE variants, including one found during recent surveillance of patient samples in Bangladesh. We also observed a lineage sweep of PLE negative V. cholerae occurring within a patient population in under a year which coincided with a loss of ICP1s CRISPR-Cas system. These findings reinforce the importance of surveillance to better understand the selective pressures that drive pandemic cholera.

microbiology↗

Microbiome dysbiosis regulates the level of energy production under anaerobic condition

The microbiome of the anaerobic digester (AD) regulates the level of energy production. To assess the microbiome dysbiosis in different stages of anaerobic digestion, we analyzed 16 samples dividing into four groups (Group-I = 2; Group-II = 5; Group-III = 5 and Group-IV = 4) through whole metagenome sequencing (WMS). The physicochemical analysis revealed that highest CH4 production (74.1%, on Day 35 of digestion) was associated with decreased amount of non-metal (phosphorus and sulfur) and heavy metals (chromium, lead and nickel). The WMS generated 380.04 million reads mapped to ~ 2800 distinct bacterial, archaeal and viral genomes through PathoScope (PS) and MG-RAST (MR) analyses. The PS analysis detected 768, 1421, 1819 and 1774 bacterial strains in Group-I, Group-II, Group-III and Group-IV, respectively which were represented by Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, Spirochaetes and Fibrobacteres (> 93.0% of the total abundances). The archaeal fraction of the AD microbiomes was represented by 343 strains, of which 95.90% strains shared across these metagenomes. The indicator species analysis showed that Methanosarcina vacuolate, Dehalococcoides mccartyi, Methanosarcina sp. Kolksee and Methanosarcina barkeri were the highly specific for energy production in Group-III and Group-IV. However, most of the indicator phylotypes displayed reduced abundance in the initial stage of biogas production (Group-I and Group-II) compared to their increased relative abundances in Group-IV (Day 35). The correlation network analysis showed that different strains of Euryarcheota and Firmicutes phyla were associated with highest level (74.1%) of energy production (Group-IV). In addition to taxonomic dysbiosis, top CH4 producing microbiomes showed increased genomic functional activities related to one carbon and biotin metabolism, oxidative stress, proteolytic pathways, MT1-MMP pericellular network, acetyl-CoA production, motility and chemotaxis. This study reveals distinct changes in composition and diversity of the AD microbiomes including different indicator species, and their genomic features that are highly specific for energy production.

microbiology↗

Temporal Shifts in Antibiotic Resistance Elements Govern Virus-Pathogen Conflicts

Bacteriophage predation selects for diverse anti-phage systems that frequently cluster on mobilizable defense islands in bacterial genomes. However, there remains a lack of molecular insight into the reciprocal dynamics of phage-bacterial adaptations in nature, particularly in clinical contexts where there is need to inform phage therapy efforts and understand how phages drive pathogen evolution. Here, using time-shift experiments we show that fluctuations in SXT integrative and conjugative elements (ICEs), which notoriously confer antibiotic resistance, govern Vibrio choleraes susceptibility to phages in clinical samples. We find that SXT ICEs, which are widespread in Gammaproteobacteria, invariably encode phage defense and function to protect other genera from phage attack following conjugation. We discover phage counter-adaptation to SXT-mediated restriction in clinical samples, and show that heterogeneity in SXT ICEs allows for re-emergence of phage resistance. Further, phage infection stimulates high frequency SXT ICE conjugation, leading to the concurrent dissemination of phage and antibiotic resistance.

microbiology↗

Genome-wide diversity and differentiation of two novel multidrug-resistant populations of Pasteurella multocida type B:2 from fowl cholera

Pasteurella multocida is the etiologic agent of fowl cholera (FC), a highly contagious and severe disease in poultry with higher mortality and morbidity. Twenty-two P. multocida strains isolated from the FC outbreaks were subjected to phenotypic and genotypic characterization. The isolates were grouped into two distinct RAPD biotypes harboring a range of pathogenic genes; exbB, ompH, ptfA, nanB, sodC, and hgbA. Among these strains, 90.90% and 36.37% were multidrug-resistant and strong biofilm formers, respectively. Whole genome sequencing of the two representative RAPD isolates confirmed as P. multocida type B:L2:ST122 harboring a number of virulence factors, and antimicrobial resistance genes. Pan-genome analysis revealed 90 unique genes in these genomes associated with versatile metabolic functions, pathogenicity, virulence, and antimicrobial resistance. This study for the first time reports the association of P. multocida genotype B:L2:ST122 in the pathogenesis of FC, and provides a genetic context for future researches on P. multocida strains.

genomics↗

Evolutionary dynamics of SARS-CoV-2 nucleocapsid protein (N protein) and its consequences

The emerging novel coronavirus SARS-CoV-2 has created a global confusing pandemic health crisis that warrants an accurate and detailed characterization of the rapidly evolving viral genome for understanding its epidemiology, pathogenesis and containment. We explored 61,485 sequences of the Nucleocapsid (N) protein, a potent diagnostic and prophylactic target, for identifying the mutations to review their roles in RT-PCR based diagnosis and observe consequent impacts. Compared to the Wuhan reference strain, a total of 1034 unique nucleotide mutations were identified in the mutant strains (49.15%, n=30,221) globally. Of these mutations, 367 occupy primer binding sites including 3-end mismatch to primer-pair of 11 well characterized primer sets. Noteworthy, CDC (USA) recommended N2 primer set contained lower mismatch than the other primer sets. Moreover, 684 amino acid (aa) substitutions located across 317 (75.66% of total aa) unique positions including 82, 21, and 83 of those in RNA binding N-terminal domain (NTD), SR-rich region, and C-terminal dimerization domain (CTD), respectively. Moreover, 11 in-frame deletions were revealed, mostly (n =10) within the highly flexible linker region, and the rest within the NTD region. Furthermore, we predicted the possible consequences of high-frequency mutations ([&ge;] 20) and deletions on the tertiary structure of the N protein. Remarkably, we observed that high frequency (67.94% of mutated sequences) coevolving mutations (R203K and G204R) destabilized and decreased overall structural flexibility. Despite being proposed as the alternate target to spike protein for vaccine and therapeutics, ongoing nonsynonymous evolution of the N protein may challenge the endeavors, thus need further immunoinformatics analyses. Therefore, continuous monitoring is required for tracing the ongoing evolution of the SARS-CoV-2 N protein in prophylactic and diagnostic interventions.

evolutionary biology↗

Genome-wide Genetic Marker Analysis and Genotyping of Escherichia fergusonii strain OTSVEF-60

Poultry originated Escherichia fergusonii (POEF), an emerging bacterial pathogen, causes a wide range of intestinal and extra-intestinal infections in the poultry industry which incurred significant economic losses worldwide. Chromosomal co-existence of antibiotics and metal resistance genes has recently been the focal point of POEF isolates besides its pathogenic potentials. This study reports the complete genome analysis of POEF strain OTSVEF-60 from the poultry originated samples of Bangladesh. The assembled draft genome of the strain was 4.2 Mbp containing 4,503 coding sequences, 120 RNA (rRNA = 34, tRNA = 79, ncRNA = 7), and three intact phage signature regions. Forty one broad range antibiotic resistance genes (ARGs) including dfrA12, qnrS1, blaTEM-1, aadA2, tet(A) and sul-2 along with multiple efflux pump genes were detected, which translated to phenotypic resistant patterns of the pathogen to trimethoprim, fluoroquinolones, {beta}-lactams, aminoglycoside, tetracycline, and sulfonamides. Moreover, 22 metal resistance genes were found co-existing within the genome of the POEF strain, and numerous virulence genes (VGs) coding for cit (AB), feo (AB), fep (ABCG), csg (ABCDEFG), fliC, ompA gadA, ecpD etc were also identified throughout the genome. In addition, we detected a Class I integron gene cassette harboring dfrA12, ant (3'')-I and qacE{Delta}-sul2) genes, 42 copies of insertion sequence (IS) elements, and two CRISPR arrays. The genomic functional analysis revealed overexpression of several metabolic pathways related to motility, flagellar assembly, epithelial cell invasion, quorum sensing, biofilm formation, and biosynthesis of vitamin, co-factors, and secondary metabolites. We herein for the first time detected multiple ARGs, VGs, mobile genetic elements, and some metabolic functional genes in the complete genome of POEF strain OTSVEF-60, which might be associated with the pathogenesis, spreading of ARGs and VGs, and subsequent treatment failure against this emerging avian pathogen with currently available antimicrobials.

microbiology↗