Biology subjects

Jacob, J. J.

Publications and source records attributed to Jacob, J. J..

12 recordsLinked to original sources

bioRxiv2026

The comparative strengths and limitations of Nile Red and 9-(dicyanovinyl)-julolidine (DCVJ) fluorescent dyes for detecting microplastics and nanoplastics

Nile Red is widely used for the detection of microplastics because its fluorescence emission is sensitive to local polarity and can distinguish hydrophobic plastics from hydrophilic ones. The fluorescence of the molecular rotor, 9-(dicyanovinyl)-julolidine (DCVJ) is less sensitive to polarity but more to viscosity. DCVJ is less widely used for microplastic analysis, although it has been used to detect polystyrene nanobeads. Here, we compared these dyes with standard samples from the Hawaii Pacific University Polymer Kit 1.0 and confirmed that Nile Red, in general, was better for the detection and identification of microplastics. Fluorescence emission was analyzed using photography, as well as spectroscopy. The color and peak emission wavelength of some stained environmental microplastics were affected by additives. Raman spectroscopy was used to confirm the chemical identity of such samples. Although DCVJ emits green fluorescence on binding to some microplastics, a peak at 620 nm has been reported with polystyrene nanobeads, attributed to dimer/excimer formation. We confirmed this property and directly observed diffraction-limited spots using fluorescence microscopy, attributed to single or just a few nanobeads. Nile Red also stains polystyrene nanobeads and gave stronger signals than with DCVJ, but Nile Red was prone to false positives due to dye aggregation in aqueous solutions.

biophysics↗

bioRxiv2026

Three Plasmid Strategies, One Intermediate Convergence State: Lineage-Specific Resistance, Virulence Architecture in Dominant Indian Carbapenem-Resistant Klebsiella pneumoniae Clones

Carbapenem-resistant Klebsiella pneumoniae (CRKp) is a critical global healthcare threat driven by high-risk multidrug-resistant (MDR) clones that acquire hypervirulence genes. Although resistance-virulence co-occurrence is extensively documented, the plasmid-level mechanisms facilitating this convergence remain unclear. In this study, we utilized hybrid short- and long-read whole-genome sequencing of 376 clinical CRKp strains to define the evolutionary trajectories and structural plasmid dynamics of three predominant high-risk clones: ST147 (n=157), ST231 (n=108), and ST2096 (n=111). Carbapenemase genes were present in 90% of isolates, predominantly blaOXA-48-like and blaNDM-5 co-harbored with blaCTX-M-15. Virulence profiling indicated high aerobactin (iuc) prevalence (62.7%), while salmochelin and colibactin were undetected. Hypermucoviscosity occurred infrequently (6.6%) and was independent of rmpA/rmpA2, confirming a clear genotype-phenotype discordance. Comparative plasmid mapping revealed three distinct, lineage-specific plasmid configurations underlying this intermediate convergent pathotype: ST147 exhibited dynamic, mosaic hybrid IncFIB-IncHI1B plasmids; ST2096 showed structurally stabilized hybrids; and ST231 retained virulence and resistance determinants on separate, segregated plasmids. These findings show that convergence is regulated by multiple, clone-specific evolutionary routes rather than a single path, highlighting the critical need for more in-depth genomic surveillance capable of identifying convergent plasmids along with high-risk lineages

microbiology↗

bioRxiv2026

Development and validation of a genome-informed multiplex PCR for specific detection of typhoidal Salmonella serovars

Enteric fever caused by Salmonella enterica serovars Typhi and Paratyphi A, B and C remains a major public health burden in endemic regions. Existing molecular assays frequently demonstrate limited specificity due to cross-reactivity with non-typhoidal Salmonella (NTS). In this study, we developed and validated a genomics-informed multiplex PCR assay capable of simultaneously differentiating all four typhoidal Salmonella serovars. A curated dataset of 3,239 Salmonella genomes, including S. Typhi (n=361), S. Paratyphi A (n=453), S. Paratyphi B (n=511), S. Paratyphi C (n=62), and NTS genomes (n=1,853), was used for comparative genomic analysis. Thirty published PCR targets were evaluated in silico, followed by pangenome and SNP analyses to identify discriminatory loci for mismatch amplification mutation assay (MAMA)-based primer design. Candidate primers were validated using in silico PCR, BLASTn analysis, and laboratory testing against a panel of typhoidal Salmonella, clinical NTS isolates, and non-Salmonella bacterial pathogens. In silico evaluation demonstrated substantial cross-reactivity among many published targets, whereas SNP-informed primer design targeting staG (S. Typhi), SPA0152 (S. Paratyphi A), SPAB_03490 (S. Paratyphi B), and SPC_0571 (S. Paratyphi C) achieved predicted specificities of 98-100% while retaining high analytical sensitivity (>97%) across target genomes. Combined with a pan-Salmonella invA target, the multiplex assay precisely identified all target serovars in vitro with minimal cross-reactivity. These findings demonstrate that genomics-informed SNP-based primer design enables reliable multiplex differentiation of typhoidal Salmonella serovars and provides a scalable framework for improving enteric fever diagnosis and surveillance in endemic settings. ImportanceTyphoidal Salmonella serovars remain major causes of enteric fever in endemic regions, yet molecular differentiation from non-typhoidal Salmonella (NTS) remains challenging because of extensive genomic conservation and cross-reactivity of commonly used diagnostic targets. In this study, we combined large-scale comparative genomics of 3,239 Salmonella genomes with SNP-informed primer design to develop a multiplex PCR assay capable of simultaneously differentiating all four typhoidal serovars (S. Typhi, S. Paratyphi A, B, and C) from NTS and other non-Salmonella pathogens. Unlike conventional gene-content-based assays, this approach incorporated lineage-specific SNPs and mismatch amplification strategies to improve specificity while maintaining high analytical sensitivity. In silico evaluation demonstrated high diagnostic performance across diverse global lineages, while in vitro testing confirmed accurate serovar-level discrimination with minimal cross-reactivity. These findings demonstrate the value of population-scale genomics for molecular assay development and provide a scalable framework for improving diagnosis and surveillance of enteric fever in endemic settings.

molecular biology↗

bioRxiv2025

A Supervised Learning Approach to Classify Clinical Outcomes in Helicobacter pylori-positive Patients

BackgroundHelicobacter pylori (H. pylori) infection is widespread globally and is linked to outcomes ranging from chronic gastritis to gastric cancer. However, only a minority of infected individuals progress to malignancy, influenced by a mix of bacterial, host, and environmental factors. Current predictive approaches are limited due to relying mainly on clinical and lifestyle data. Genomic approaches have been sparsely used, and thus their incorporation into machine learning models could ensure early and personalized detection. This study aimed to evaluate the impact of integrating host metadata with genomic features from H. pylori to predict gastric cancer outcomes and identify associated variables. Methods1,363 publicly available H. pylori genomes with associated host information between 1991 and 2024 were collected from NCBI and EnteroBase. Demographic features, virulence genes, sequence-derived and variant-based features were extracted. Machine learning models were then developed to classify infection outcomes into gastric cancer and non-gastric cancer. Logistic regression, an interpretable baseline model, was compared against higher-performance ensemble models (XGBoost, Random Forest). Model performance was assessed using recall, precision, AUROC, and AUPRC curves. ResultsThe logistic regression model achieved a recall of 0.736 (95% CI: 0.644-0.831) for gastric cancer and an AUROC of 0.888 (95% CI: 0.843-0.929). Both XGBoost and Random Forest models outperformed the baseline model with AUROC values ranging from 0.950-0.954 (95% CI: 0.904-0.976). Black-box model recall for gastric cancer detection improved compared to the baseline by 8.3% for XGBoost (0.797, 95% CI: 0.711-0.877), and 11.4% for Random Forest (0.820, 95% CI: 0.734-0.896). Across models, patient age consistently emerged as the strongest predictor of gastric cancer, with several sequence-derived genomic features beyond pre-established virulence genes contributing to the infection outcome differences. ConclusionThis study demonstrates that combining pathogen genomics with host demographics uncovers novel risk factors and ensures early detection with high predictive power. The use of explainability methods like SHAP allows for greater interpretability by clinical professionals and improves informed decision-making processes. Validation and translation into clinical practice can be carried out with broader, diverse datasets along with the inclusion of additional host and lifestyle variables.

bioinformatics↗

bioRxiv2024

Typhi Mykrobe: fast and accurate lineage identification and antimicrobial resistance genotyping directly from sequence reads for the typhoid fever agent Salmonella Typhi

BackgroundTyphoid fever results from systemic infection with Salmonella enterica serovar Typhi (Typhi) and causes 10 million illnesses annually. Disease control relies on prevention (water, sanitation, and hygiene interventions or vaccination) and effective antimicrobial treatment. Antimicrobial resistant (AMR) Typhi lineages have emerged and become established in many parts of the world. Knowledge of local pathogen populations informed by genomic surveillance, including of lineages (defined by the GenoTyphi scheme) and AMR determinants, is increasingly used to inform local treatment guidelines and to inform vaccination strategy. Current tools for genotyping Typhi require multiple read alignment or assembly steps and have not been validated for analysis of data generated with Oxford Nanopore Technologies (ONT) long-read sequencing devices. Here, we introduce Typhi Mykrobe, a command line software tool for rapid genotyping of Typhi lineages, AMR determinants, and plasmid replicons direct from sequencing reads. ResultsWe validated Typhi Mykrobe lineage genotyping by comparison with the current standard read mapping-based approach and demonstrated 99.8% concordance across nearly 13,000 genomes sequenced with Illumina platforms. For the few isolates with discordant calls, we show that Typhi Mykrobe results are better supported by the evidence from raw sequence read data than the results generated using the mapping-based approach. We also demonstrate 99.9% concordance for detection of AMR determinants compared with the current standard assembly-based approach, with similar results for plasmid marker detection. Typhi Mykrobe predicts clinical resistance categorisation (S/I/R) for eight drug classes, and we show strong agreement with phenotypic categorisations generated from reference laboratory minimum inhibitory concentration (MIC) data for n=1,572 Illumina-sequenced isolates (>99% agreement within one doubling dilution). We show strong concordance (>96% for genotype and >98% for AMR and plasmid) between calls made from ONT reads and those made from Illumina reads for isolates sequenced on both platforms (n =93 genomes). Typhi Mykrobe takes less than a minute per sample and is available at https://github.com/typhoidgenomics/genotyphi. ConclusionsTyphi Mykrobe provides rapid and sensitive genotyping of Typhi genomes direct from Illumina and ONT reads, although lower accuracy was observed for R9 ONT data. It demonstrated accurate assignment of GenoTyphi lineage, detection of AMR determinants and prediction of corresponding AMR phenotypes, and identification of plasmid replicons.

microbiology↗

bioRxiv2023

Recent emergence of cephalosporin resistant Salmonella Typhi carrying IncFIB(K) plasmid encoding blaCTX-M-15 gene in India

The emergence and spread of Salmonella Typhi (S. Typhi) resistant to third-generation cephalosporins is a serious global health concern. In this study, we genomically characterized 142 cephalosporin-resistant S. Typhi strains isolated from India. Comparative genome analysis revealed the emergence of a new clone of ceftriaxone-resistant S. Typhi harboring three plasmids of the incompatibility groups IncFIB(K), IncX1, and IncFIB(pHCM2). Among these, the IncFIB(K) plasmid confers resistance to third-generation cephalosporins through the blaCTX-M-15 gene, along with other resistance determinants such as aph(3"), aph(6), sul2, dfrA14, qnrS, and tetA. Phylogenetic analysis showed that the isolates from Gujarat (n=140/142) belong to a distinct subclade (genotype 4.3.1.2.2) within genotype 4.3.1.2 (H58 lineage II). SNP-based phylogenetic analysis of the core genes in IncFIB(K) reveals a close genetic relationship between the plasmid backbone and that of IncFIB(K) from other Enterobacterales, suggesting that the H58 lineage II possesses the capability to acquire MDR plasmids from these organisms. This could indicate the potential onset of a new wave of ceftriaxone-resistant S. Typhi in India. The implementation of control measures such as vaccination, and improved water, sanitation, and hygiene (WASH) systems, is crucial in areas where MDR or XDR S. Typhi strains are prevalent to curb the spread and impact of these resistant strains. ImportanceTyphoid fever remains a significant public health problem in many parts of the world, particularly in resource-limited settings with inadequate sanitation and limited access to clean water. The emergence of MDR S. Typhi resistant to first-line antibiotics (chloramphenicol, ampicillin, and cotrimoxazole) and fluoroquinolones marked the initial treatment challenge, leading to reliance on azithromycin and third-generation cephalosporins. Recently, researchers identified the emergence of XDR typhoid in Pakistan that is resistant to five classes of antibiotics including third-generation cephalosporins. In this study, we report a recent emergence of S. Typhi isolates resistant to third-generation cephalosporins. Genomic characterization and evolutionary analysis of the new strains revealed a recent acquisition of blaCTX-M carrying IncFIB(K) plasmid led to the emergence of ceftriaxone-resistant S. Typhi. Due to the ongoing nature of this outbreak, the data from this study deserves further consideration in order to control its spread in India.

genomics↗

bioRxiv2022

Genomic analysis unveils the role of genome degradation events and gene flux in the emergence and persistence of S. Paratyphi A lineages

Paratyphoid fever caused by S. Paratyphi A is endemic in parts of Asia and Sub-Saharan Africa. The proportion of enteric fever cases caused by S. Paratyphi A has substantially increased, yet only limited data is available on the population structure and genetic diversity of this serovar. We examined the phylogenetic distribution and evolutionary trajectory of S. Paratyphi A isolates collected as part of the Indian enteric fever surveillance study "Surveillance of Enteric Fever in India (SEFI)." In the study period (2017-2020), S. Paratyphi A comprised 17.6% (441/2503) of total enteric fever cases in India, with the isolates highly susceptible to all the major antibiotics used for treatment except fluoroquinolones. Phylogenetic analysis clustered the global S. Paratyphi A collection into seven lineages (A-G), and the present study isolates were distributed in lineages A, C and F. Our analysis documented that the genome degradation events and gene acquisitions or losses play a major role in the evolution of new S. Paratyphi A lineages/sub-lineages. A total of 10 pseudogene-forming mutations possibly associated with the emergence of lineages were identified. Pan-genome analysis identified the insertion of P2/PSP3 phage and acquisition of IncX1 plasmid during the selection in 2.3.2/2.3.3 and 1.2.2 genotypes, respectively. We also identified that the six characteristic missense mutations associated with the lipopolysaccharide (LPS) biosynthesis genes of S. Paratyphi A confer only a low structural impact and would therefore have minimal impact on vaccine effectiveness. Since S. Paratyphi A is human restricted, high levels of genetic drift are not expected unless these bacteria transmit to naive hosts. However, public-health investigation and intervention by means of genomic surveillance would be continually needed to avoid S. Paratyphi A serovar becoming a public health threat similar to the S. Typhi of today.

genomics↗

bioRxiv2022

Genomic rearrangements of mobile genetic elements associated with carbapenem resistance of Acinetobacter baumannii

With the excessive genome plasticity, Acinetobacter baumannii has the capability to acquire and disseminate antimicrobial resistance genes that are often associated with mobile genetic elements (MGE). Analyzing the genetic environment of resistance genes often provides valuable information on the origin, emergence, evolution and spread of resistance. Thus, we characterized the genomic features of some clinical isolates of carbapenem-resistant A. baumannii to understand the role of diverse MGE and their genetic context that are responsible for the dissemination of carbapenem resistance genes. For this, a total of 17 clinical isolates of A. baumannii obtained from multiple hospitals in India between the years 2018 and 2019 were analysed. Antimicrobial resistance determinants, genetic context of resistance genes and molecular epidemiology were studied using whole genome sequencing. A high prevalence of blaOXA-23 was observed followed by the presence of dual carbapenemase, blaOXA-23 and blaNDM. Three novel Oxford sequence types were identified. Majority of the isolates belonged to dominant clone, IC2 followed by less prevalent clones such as IC7 and IC8. Complex diverse AbaR4 like and AbGRI-like islands belonging to IC2 lineage were identified. To the best of our knowledge, this is the first study that provides a comprehensive profiling of resistance islands along with the MGE, acquired antimicrobial resistance genes and the distribution of clonal lineages of carbapenem resistant A. baumannii from India.

microbiology↗

bioRxiv2021

Colistin resistance in Acinetobacter baumannii is driven by multiple genomic traits: Evaluating the role of ISAba1-driven eptA overexpression among Indian isolates

Colistin resistance in Acinetobacter baumannii is mediated by multiple mechanisms. Recently, mutations within pmrAB two component system and overexpression of eptA due to upstream insertion of ISAba1 play a major role.To characterize colistin resistance mechanisms among the clinical isolates of A. baumannii in India. A total of 224 clinical isolates of A. baumannii collected from 2016 to 2019 were included in this study. Mutations within lipid A biosynthesis and pmrAB genes were characterized by Whole Genome Shotgun sequencing. Twenty eight complete genomes were further characterized for insertional inactivation of lpx genes and the association of ISAba1-eptA using hybrid assembly approach. Non-sysnonymous mutations like M12I in pmrA, A138T and A444V in pmrB and E117K in lpxD were identified. Four of the five colistin resistant A.baumannii isolates had insertion of ISAba1 upstream eptA. No mcr genes were identified.Overall, the present study highlights the diversity of colistin resistance mechanisms in A. baumannii. ISAba1-driven eptA overexpression could be responsible for colistin resistance among Indian isolates of colistin resistant A. baumannii.

microbiology↗

bioRxiv2020

Evolutionary tracking of SARS-CoV-2 genetic variants highlights intricate balance of stabilizing and destabilizing mutations

The currently ongoing COVID-19 pandemic caused by SARS-CoV-2 has accounted for millions of infections and deaths across the globe. Genome sequences of SARS-CoV-2 are being published daily in public databases and the availability of this genome datasets has allowed unprecedented access into the mutational patterns of SARS-CoV-2 evolution. We made use of the same genomic information for conducting phylogenetic analysis and identifying lineage-specific mutations. The catalogued lineage defining mutations were analysed for their stabilizing or destabilizing impact on viral proteins. We recorded persistence of D614G, S477N, A222V V1176F variants and a global expansion of the PANGOLIN variant B.1. In addition, a retention of Q57H (B.1.X), R203K/G204R (B.1.1.X), T85I (B.1.2-B.1.3), G15S+T428I (C.X) and I120F (D.X) variations was observed. Overall, we recorded a striking balance between stabilizing and destabilizing mutations, therefore well-maintained protein structures. With selection pressures in the form of newly developed vaccines and therapeutics to mount soon in coming months, the task of mapping of viral mutations and recording of their impact on key viral proteins would be crucial to pre-emptively catch any escape mechanism that SARS-CoV-2 may evolve for. STUDY IMPORTANCEAs large numbers of the SARS CoV-2 genome sequences are shared in publicly accessible repositories, it enables scientists a detailed evolutionary analysis since its initial isolation in Wuhan, China. We investigated the evolutionarily associated mutational diversity overlaid on the major phylogenetic lineages circulating globally, using 513 representative genomes. We detailed phylogenetic persistence of key variants facilitating global expansion of the PANGOLIN variant B.1, including the recent, fast expanding, B.1.1.7 lineage. The stabilizing or destabilizing impact of the catalogued lineage defining mutations on viral proteins indicates their possible involvement in balancing the protein function and structure. A clear understanding of this mutational profile is of high clinical significance to catch any vaccine escape mechanism, as the same proteins make crucial components of vaccines recently approved and in development. In this direction, our study provides an imperative framework and baseline data upon which further analysis could be built as newer variants of SARS-CoV-2 continue to appear.

genomics↗

bioRxiv2020

Mosaic antimicrobial resistance/virulence plasmid in hypervirulent ST2096 Klebsiella pneumoniae in India: The rise of a new superbug?

Hypervirulent K. pneumoniae (HvKp) is typically associated with ST23 clone; however, hvKp is also emerging from clones ST11, ST15 and ST147, which are also multi-drug resistant (MDR). Here, we aimed to characterise nine novel MDR hvKp isolates harbouring mosaic plasmids simultaneously carrying antimicrobial resistance (AMR) and virulence genes. Nine HvKp isolates obtained from hospitalised patients in southern India were characterized for antimicrobial susceptibility and hypervirulence phenotypes. All nine hvKp isolates were subjected to whole genome sequencing (WGS) using Ilumina HiSeq2500 and a subset of four were sequenced using Oxford Nanopore MinION. Among the nine isolates, seven were carbapenem-resistant, two of which carried blaNDM-5 on an IncFII plasmid and five carried blaOXA-232 on a ColKP3 plasmid. The virulence determinants were encoded in a mosaic plasmid ([~]320 Kbp) that formed as a result of its insertion in a IncFIB-IncHI1B plasmid co-integrate. The mosaic plasmid carried AMR genes (aadA2, armA, blaOXA-1, msrE, mphE, sul1 and dfrA14) in addition to rmpA2, iutA and iucABCD virulence genes. Interestingly the mosaic plasmid carried its own type IV-A3 CRISPR-cas system that is likely able to target the acquisition of IncF plasmid with the help of a traL spacer. The convergence of virulence and AMR is the biggest threat among invasive K. pneumoniae infections. However, increasing reports of the presence of mosaic plasmid carrying both AMR and virulence genes suggests MDR-hvKp isolates are no longer confined to selected clones and the containment of such isolates is very challenging. IMPORTANCEKlebsiella pneumoniae is an opportunistic pathogen that commonly associated with hospital-acquired infections in the urinary tract, respiratory tract, lung, wound sites. The organism has gained notoriety by acquiring additional genetic traits to become either hypervirulent (HV) phenotype or multidrug resistant (MDR) phenotype. Though the infections by both these phenotypes were very challenging to treat, the MDR K. pneumonia (MDR-Kp) were remained in the hospital settings while HV K. pneumonia (hvKp) strains were mostly originated from the community settings. In a recent turn of events, the evolution of MDR-Kp and hvKp has converged as both clones found to carry both MDR plasmids and virulence plasmid. These convergent strains are challenging to treat and is associated with higher mortality rate. As the recent hvKp isolates harbour mosaic plasmid encoding both AMR and virulence determinants there is a need to investigate the evolution of these pathogens. The significance of our research is in characterising the novel mosaic plasmid identified in MDR-hvKp isolates that belong sequence type (ST) 2096. Tracking the possible evolution pathway of MDR-hvKPs would greatly help in the proper surveillance and management of this superbugs. RepositoriesThe whole genome sequences of the present study isolates have been deposited in GenBank, NCBI, with accession numbers CP053765 - CP053770, CP053771 - CP053780, CP058798-CP058806, JAARNO010000001.1 - JAARNO010000005.1, JAAQSG000000000, JAARNJ000000000, JAARMH000000000 and JAAQTC000000000

genomics↗

bioRxiv2020

Salmonella Typhi acquires diverse plasmids from other Enterobacteriaceae to develop cephalosporin resistance

BackgroundRecent reports have established the emergence and dissemination of extensively drug resistant (XDR) H58 Salmonella Typhi clone in Pakistan. In India where typhoid fever is endemic, only sporadic cases of ceftriaxone resistant S. Typhi are reported. This study aimed at elucidating the phylogenetic evolutionary framework of ceftriaxone resistant S. Typhi isolates from India to predict their potential dissemination in endemic regions. MethodsFive ceftriaxone resistant S. Typhi isolates from three tertiary care hospitals in India were sequenced on an Ion Torrent Personal Genome Machine (PGM). A core genome single-nucleotide-polymorphism (SNP) based phylogeny of the isolates in comparison to the global collection of MDR and XDR S. Typhi isolates was built. Two of five isolates were additionally sequenced using Oxford Nanopore MinION to completely characterize the plasmid and understand its transmission dynamics within Enterobacteriaceae. ResultsComparative genomic analysis and detailed plasmid characterization indicate that while in Pakistan (4.3.1 lineage I) the XDR trait is associated with blaCTX-M-15 gene on IncY plasmid, in India (4.3.1 lineage II), the ceftriaxone resistance is due to short term adaptation of resistance plasmids such as IncX3 or IncN. ConclusionSince the bacterial acquisition of smaller resistance plasmids such as IncX3 or IncN from other Enterobacteriaceae can be much faster than the larger IncY plasmids, the rapid expansion of these genotypically novel XDR S. Typhi could potentially cause large outbreaks. Therefore, continuous monitoring of S. Typhi lineages carrying cephalosporin resistance on IncX3 or IncN plasmids is vital not just for India but globally. ImportanceGenomic analysis of cephalosporin resistant S. Typhi isolated from India indicates the potential of S. Typhi to develop cephalosporin resistance by acquiring diverse plasmids from other Enterobacteriaceae. We identified the occurrence of independent acquisition of drug-resistant plasmids such as IncX3 and IncN with genes encoding beta-lactamases in H58/4.3.1.2 lineage. A short term adaptation of drug-resistant plasmids in H58/4.3.1.2 lineage can be the reason for the sporadic cases cephalosporin resistant S. Typhi in India. However, the IncY plasmid acquired by isolates that belong to H58/4.3.1.1 lineage appeared to be well adapted as observed in XDR S. Typhi outbreak in Pakistan. Plasmid acquisition and maintenance of cephalosporin resistant S. Typhi appears to be specific to the phylogenetic lineage as lineages differ in compensating the initial cost imposed by the plasmid. The stable maintenance of these resistance plasmids without a fitness cost, are determinant in understanding the future spread of cephalosporin resistance in S. Typhi. Therefore, critical strategies in monitoring and control of cephalosporin resistant S. Typhi is needed to tackle further public health crisis.

genomics↗