Biology subjects

Sharma, C. M.

Publications and source records attributed to Sharma, C. M..

17 recordsLinked to original sources

bioRxiv2026

Interdependent mode of RNA recognition by the interacting KH-domain proteins KhpA and KhpB

RNA-binding proteins (RBPs) are central regulators of gene expression. In bacteria, two KH domain-containing proteins, KhpA and KhpB, are increasingly recognized as globally-acting RBPs, including in pathogens that lack well-studied RBPs, such as Hfq and ProQ. While KhpA and KhpB interact with various RNAs in diverse bacteria, their crosstalk and molecular basis of RNA recognition remain poorly understood. Here, we explored the mutual dependence between KhpA and KhpB in the food-borne pathogen Campylobacter jejuni. We demonstrate KhpA and KhpB interact in vivo, and their individual global RNA recognition is largely dependent on the presence of the partner protein. Using RNA co-immunoprecipitation, we reveal that KhpA requires a conserved KH domain motif for RNA binding, whereas KhpB relies on an atypical R3H domain. Moreover, mutating the RNA-binding domain of one protein compromises the RNA interactome of the other. Overall, we demonstrate an interdependent RNA-binding mode of KhpA and KhpB and anticipate that such KH-proteins have co-evolved to elicit joint RNA regulation in bacteria.

microbiology↗

bioRxiv2026

Human-targeted drugs impact antibiotic sensitivity and growth of Campylobacter jejuni

Antibiotic resistance is increasingly recognized as a major threat to global health, yet the contribution of non-antibiotics to this problem remains poorly defined. Here, we established a transcriptional chemical genomics approach to map how 2,415 host-relevant small molecules influence stress-responsive promoters and fitness of the foodborne pathogen Campylobacter jejuni. This screen uncovered widespread activation of the CmeABC efflux pump by diverse compounds, including several human-targeted drugs. Notably, ibuprofen, one of the most widely used non-steroidal anti-inflammatory drugs worldwide, induced efflux pump expression and thereby enhanced bacterial tolerance to ciprofloxacin. We also identified multiple commensal-sparing human-targeted drugs with growth-inhibitory activity against C. jejuni, highlighting opportunities for pathogen-targeted drug repurposing. Together, our findings reveal that non-antibiotic drugs can both promote resistance-associated phenotypes and selectively suppress pathogen growth. This underscores the need to consider collateral drug effects on bacterial physiology when designing strategies to curb the burden of antimicrobial resistance.

microbiology↗

bioRxiv2026

Human-targeted drugs extensively reshape regulatory networks controlling virulence and antibiotic resistance in Salmonella Typhimurium

Human-targeted drugs are increasingly recognized to affect bacterial physiology, yet their impact beyond growth inhibition, and the underlying molecular mechanisms, remain poorly understood. Here, we systematically mapped how chemically diverse host-associated compounds influence virulence and intrinsic antibiotic resistance in Salmonella enterica serovar Typhimurium. Using a high-throughput reporter approach, we quantified transcriptional response of 26 key stress promoters in Salmonella against 2,415 compounds, including FDA-approved drugs, food-derived molecules, and human metabolites. We found that non-antibiotic compounds induce transcriptional responses distinct from those elicited by antibiotics, uncovering a regulatory shift from general stress responses to compound-specific regulation driven by ligand-responsive MarR- and TetR-family regulators. In particular, more than 200 non-antibiotic drugs modulate virulence or intrinsic resistance pathways through the central regulators SlyA or RamR, respectively. By integrating our large-scale dataset with machine learning, we further defined chemical features associated with ramA transcriptional activation in Salmonella, and predicted ~200 additional candidate inducers of intrinsic antibiotic resistance in this pathogen. Together, our results uncovered a large and previously unrecognized chemical landscape that reshapes bacterial stress responses through ligand-responsive regulatory mechanisms, with implications for how host-associated compounds influence pathogen virulence and antibiotic resistance.

microbiology↗

bioRxiv2026

Unveiling the small protein landscape of uropathogenic E. coli

Uropathogenic Escherichia coli (UPEC) is the predominant causative agent of urinary tract infections. The UPEC strain, CFT073, has a mosaic genome containing 60 genomic islands enriched in virulence genes. In this study, we explore the small proteome of CFT073 using ribosome profiling (Ribo-seq) coupled with RNA sequencing (RNA-seq), and reveal 338 translated, previously unannotated, putative small open reading frames (sORFs) with less than 100 codons. Among them, 78 sORFs are located in intergenic regions. Fifteen intergenic sORFs encode a predicted transmembrane helix (smemORFs), of which seven are hypothetical or have not been characterized in other E. coli strains. The majority of the remaining putative sORFs encodes uncharacterized or novel soluble proteins (ssolORFs). Considering the evolution of many sORFs is likely to be recent, functional sORFs are more likely to have conserved gene neighborhood in other genomes. Searching into the genomes of 10 other E. coli strains and four enterobacteria species, synteny analysis reveals that 10 of 15 putative smemORFs, and 27 of 63 putative ssolORFs, have a homologous sequence in a similar genomic context in at least one other genome, supporting their likelihood of encoding functional proteins. Further validation of putative sORFs using proteomics, cell-free protein synthesis, and mNeonGreen tagging provide strong evidence for the translation of nine predicted intergenic sORFs. Notably, four previously uncharacterized small membrane proteins have increased abundance under oxidative stress, suggesting a potential role in the stress response. Together, our findings reveal the small proteome of an extraintestinal pathogenic E. coli and provide a catalog of putative sORFs for further investigation.

microbiology↗

bioRxiv2026

Molecular genetic characterization of bacterial KH-domain proteins

Post-transcriptional gene regulation is a key mechanism for bacterial stress responses and virulence, and RNA-mediated regulation frequently relies on global RNA-binding proteins (RBPs). A pair of interacting KH-domain proteins (KhpA and KhpB) have recently been identified as global RBPs in several bacterial species. To better understand their molecular functions, we employed bacterial two- and three-hybrid (B2H/B3H) assays in an E. coli reporter system to analyze protein-protein and protein-RNA interactions of KhpA/B orthologs from three human pathogens: Campylobacter jejuni, Helicobacter pylori, and Clostridioides difficile. Protein-protein interactions were conserved across all species, with KhpA-KhpB heterodimers forming more robustly than either homodimer and KhpA homodimerizing more readily than KhpB. On the other hand, protein-RNA interactions were more varied across species: C. jejuni and C. difficile KhpA bound both species-specific and non-specific RNAs, but H. pylori KhpA--and KhpB orthologs from all species--showed no RNA interaction in B3H assays. Site-directed mutagenesis experiments demonstrated that residues in the GXXG motif of KhpA are critical for RNA interaction and differences in these residues account for the distinct RNA-binding behaviors of KhpA orthologs. Collectively, these findings provide a cross-species, molecular view of how KhpA and KhpB recognize one another and RNA ligands to regulate gene expression.

molecular biology↗

bioRxiv2025

A revised genome annotation of the model cyanobacterium Synechocystis based on start and stop codon-enriched ribosome profiling and proteogenomics

Cyanobacteria are important primary producers and are used as microbial cell factories due to their ability to use solar light for oxygenic photosynthesis. Synechocystis sp. PCC 6803 is a popular model cyanobacterium, yet there are ambiguities in the precise coding regions of many genes, and numerous genes encoding small proteins have remained undetected. Here we present the results of a riboproteogenomic analysis, combining ribosome profiling (Ribo-seq) analysis involving inhibitors that stall ribosomes at translation initiation and termination sites (TIS- and TTS-Ribo-seq), with a proteogenomic reevaluation and reannotation of its entire genome. We report evidence for the translation of 3,055 annotated genes based on proteogenomics (83%), of 3,492 based on Ribo-seq (95.2%), and of 3,018 supported by both methods (82%). The data suggested unannotated protein-coding genes and corrections for annotated ones. We validated 15 small proteins translated from antisense RNAs, from intergenic and intragenic regions and provide proteogenomic support for up to 69 further, mostly small proteins. With slr0489, slr1079 and slr1082 we identified three genes with intragenic out-of-frame translons and show that both the internal and host reading frames are translated and that the resulting proteins interact with each other. Our data can be accessed via an intuitive and interactive genome browser platform at https://www.bioinf.uni-freiburg.de/[~]ribobase/. They illustrate the enormous value of consolidating genome annotations in the context of integrated experimental data.

microbiology↗

bioRxiv2025

Functional genomics of Campylobacter-host interactions in an intestinal tissue model reveals a small lipoprotein essential for flagellar assembly

Campylobacter jejuni is the leading cause of bacterial food-poisoning, with motility being an essential virulence factor. While many aspects of flagella biogenesis have been studied, a complete picture of the components and regulators of these multi-protein machines is still missing. To identify genes crucial for C. jejuni pathogenesis and motility, we applied transposon sequencing in a humanized tissue model. This revealed three largely uncharacterized genes (pflC , pflD , pflE ) as essential for motility. While PflC/D turned out to be components of the flagellar motor disk structures, PflE is a small protein of only 57 aa. PflE strikingly affects motor biogenesis, with complete loss of motor structures upon its deletion. We demonstrate PflE is a lipoprotein and supports outer-membrane localization of the main basal-disk protein FlgP. With motility as a critical Campylobacter virulence factor, our work demonstrates that deletion of a small protein can bring a bacterial pathogen to a halt.

microbiology↗

bioRxiv2025

Statistical end-to-end analysis of large-scale microbial growth data with DGrowthR

Quantitative analysis of microbial growth curves is essential for understanding how bacterial populations respond to environmental cues. Traditional analysis approaches make parametric assumptions about the functional form of these curves, limiting their usefulness for studying conditions that distort standard growth curves. In addition, modern robotics platforms enable the high-throughput collection of large volumes of growth data, thus requiring strategies that can analyze large-scale growth data in a flexible and efficient manner. Here, we introduce DGrowthR, a statistical R framework and standalone app with a no-code interface for the integrative analysis of large growth experiments. DGrowthR comprises methods for data pre-processing and standardization, exploratory functional data analysis, and non-parametric modeling of growth curves using Gaussian Process regression. Importantly, DGrowthR includes a rigorous statistical testing framework for differential growth (DG) analysis. To illustrate the range of application scenarios of DGrowthR, we analyzed three large-scale bacterial growth datasets targeting distinct scientific inquiries. On an in-house dataset comprising more than 20, 000 growth curves of two pathogens that were subjected to chemical perturbations, DGrowthR enabled the discovery of compounds with significant growth inhibitory effects as well as compounds that induce non-canonical growth dynamics. On two publicly available perturbation datasets (> 100, 000 growth curves), DG analysis recovered reported adjuvants and antagonists of antibiotic activity, as well as bacterial genetic factors that determine susceptibility to specific antibiotic treatments. We anticipate DGrowthR to streamline the analysis of high-volume growth experiments, enabling researchers to make biological discoveries in a standardized and reproducible manner.

microbiology↗

bioRxiv2024

Pre-trained molecular representations enable antimicrobial discovery

The rise in antimicrobial resistance poses a worldwide threat, reducing the efficacy of common antibiotics. Determining the antimicrobial activity of new chemical compounds through experimental methods is still a time-consuming and costly endeavor. Compound-centric deep learning models hold the promise to speed up this search and prioritization process. Here, we introduce a lightweight computational strategy for antimicrobial discovery that builds on MolE(Molecular representation through redundancy reduced Embedding), a deep learning framework that leverages unlabeled chemical structures to learn task-independent molecular representations. By combining MolE representation learning with experimentally validated compound-bacteria activity data, we design a general predictive model that enables assessing compounds with respect to their antimicrobial potential. The model correctly identified recent growth-inhibitory compounds that are structurally distinct from current antibiotics and discovered de novo three human-targeted drugs as Staphylococcus aureus growth inhibitors which we experimentally confirmed. Our framework offers a viable cost-effective strategy to accelerate antibiotics discovery.

microbiology↗

bioRxiv2023

Molecular model of a bacterial flagellar motor in situ reveals a "parts-list" of protein adaptations to increase torque

One hurdle to understanding how molecular machines work, and how they evolve, is our inability to see their structures in situ. Here we describe a minicell system that enables in situ cryogenic electron microscopy imaging and single particle analysis to investigate the structure of an iconic molecular machine, the bacterial flagellar motor, which spins a helical propeller for propulsion. We determine the structure of the high-torque Campylobacter jejuni motor in situ, including the subnanometre-resolution structure of the periplasmic scaffold, an adaptation essential to high torque. Our structure enables identification of new proteins, and interpretation with molecular models highlights origins of new components, reveals modifications of the conserved motor core, and explain how these structures both template a wider ring of motor proteins, and buttress the motor during swimming reversals. We also acquire insights into universal principles of flagellar torque generation. This approach is broadly applicable to other membrane-residing bacterial molecular machines complexes.

molecular biology↗

bioRxiv2023

Interplay of two small RNAs fine-tunes hierarchical flagellar gene expression in the foodborne pathogen Campylobacter jejuni

Like for many enteric bacteria, flagella are a crucial virulence factor for the foodborne pathogen Campylobacter jejuni, allowing the bacteria to move through the viscous mucus of the human intestine. Assembly of the complex flagellar machinery and filament requires hierarchical regulation via transcriptional control of each component. In C. jejuni, class I genes are transcribed from {sigma}70-dependent promoters and class II/III genes with the help of the alternative sigma factors RpoN ({sigma}54) and FliA ({sigma}28). In contrast to transcriptional control, less is known about post-transcriptional regulation of flagellar biosynthesis cascades via small regulatory RNAs (sRNAs). Here, we characterized two sRNAs with opposing effects on the cascade that fine-tune C. jejuni flagellar filament assembly and thereby impact motility. We demonstrate that the highly conserved Campylobacter sRNA CJnc230 (FlmE, flagellar length and motility enhancer), encoded downstream of the flagellar hook structural protein FlgE, is dependent on RpoN and that RNase III processes CJnc230 from the flgE mRNA, while RNase Y and PNPase mature its 3 end. We identify mRNAs encoding a regulator of flagella-flagella interactions and the anti-{sigma}28 factor FlgM as direct targets of CJnc230 repression. Overexpression of CJnc230 de-represses FliA activity and upregulates class III flagellar genes, such as the major flagellin flaA, culminating in longer flagella and increased motility. In contrast, overexpression of the FliA-dependent sRNA CJnc170 (FlmR, flagellar length and motility repressor) reduces flagellar length and motility. Overall, our study demonstrates sRNA-mediated post-transcriptional regulation fine-tunes C. jejuni flagellar biosynthesis through balancing of the hierarchically expressed components.

microbiology↗

bioRxiv2022

Small proteome of the nitrogen-fixing plant symbiont Sinorhizobium meliloti

The soil-dwelling plant symbiont Sinorhizobium meliloti is a major model organism of Alphaproteobacteria. Despite numerous detailed OMICS studies, information about small open reading frame (sORF)-encoded proteins (SEPs) is largely missing, because sORFs are poorly annotated, and SEPs are hard to detect experimentally. However, given that SEPs can fulfill important functions, cataloging the full complement of translated sORFs is critical for analyzing their roles in bacterial physiology. Ribosome profiling (Ribo-seq) can detect translated sORFs with high sensitivity, but is not yet routinely applied to bacteria because it must be adapted for each species. Here, we established a Ribo-seq procedure for S. meliloti 2011 based on RNase I digestion and detected translation for 60% of the annotated coding sequences during growth in minimal medium. Using ORF prediction tools based on Ribo-seq data, subsequent filtering, and manual curation, the translation of 37 non-annotated sORFs with [≤] 70 amino acids was predicted with high confidence. The Ribo-seq data were supplemented by mass spectrometry (MS) analyses from three sample preparation approaches and two integrated proteogenomic search databases (iPtgxDBs). Searches against a standard and a 20-fold smaller Ribo-seq data-informed custom iPtgxDB confirmed many annotated SEPs and identified 11 additional novel SEPs. Epitope tagging and Western blot analysis confirmed the translation of 15 out of 20 SEPs selected from the translatome map. Overall, by applying MS and Ribo-seq as complementary approaches, the small proteome of S. meliloti was substantially expanded by 48 novel SEPs. Several of them are conserved from Rhizobiaceae to Bacteria, suggesting important physiological functions.

molecular biology↗

bioRxiv2022

Complementary Ribo-seq approaches map the translatome and provide a small protein census in the foodborne pathogen Campylobacter jejuni

BackgroundKnowing the molecules encoded by bacterial pathogens and how their expression is regulated is essential to understand how they survive, colonize, and cause disease. RNA-seq technologies that map transcriptomes have revealed a wealth of new transcripts in bacterial pathogens. However, they do not provide direct evidence or coordinates for coding potential. In particular, they miss small proteins ([≤] 50-100 amino acids) translated from small open reading frames (sORFs). However, this still poorly annotated component of bacterial genomes shows emerging roles in bacterial physiology and virulence. ResultsHere, we present an integrated approach based on complementary ribosome profiling (Ribo-seq) techniques to map the "translatome" of Campylobacter jejuni, the most common cause of bacterial gastroenteritis. Besides conventional Ribo-seq, we employed translation initiation site (TIS) profiling to map start codons and reveal internal sORFs. We also developed a Ribo-seq approach for mapping of translation termination sites (TTS), which revealed stop codons not apparent from the reference genome in virulence-associated loci. Our translatome map confirms translation of leaderless ORFs and leader peptides, re-annotates start or stop codons of 35 genes, and reveals isoforms generated by internal start sites. It also adds 42 novel sORFs in diverse contexts to the C. jejuni annotation, such as within small RNAs, in 5' untranslated regions (UTRs), or internal/out-of-frame/antisense in larger ORFs. Using epitope tagging/western blot and mass spectrometry we validated expression of almost 60 annotated and novel sORFs, including cioY, which we show encodes a conserved, 34 amino acid component of the CioAB terminal oxidase. ConclusionsOverall, we provide a blueprint for integrating several Ribo-seq approaches to refine and enrich bacterial annotations.

genomics↗

bioRxiv2021

RiboReport - Benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria

Small proteins, those encoded by open reading frames, with less than or equal to 50 codons, are emerging as an important class of cellular macromolecules in all kingdoms of life. However, they are recalcitrant to detection by proteomics or in silico methods. Ribosome profiling (Ribo-seq) has revealed widespread translation of sORFs in diverse species, and this has driven the development of ORF detection tools using Ribo-seq read signals. However, only a handful of tools have been designed for bacterial data, and have not yet been systematically compared. Here, we have performed a comprehensive benchmark of ORF prediction tools which handle bacterial Ribo-seq data. For this, we created a novel Ribo-seq dataset for E. coli, and based on this plus three publicly available datasets for different bacteria, we created a benchmark set by manual labeling of translated ORFs using their Ribo-seq expression profile. This was then used to investigate the predictive performance of four Ribo-seq-based ORF detection tools we found are compatible with bacterial data (Reparation_blast, DeepRibo, Ribo-TISH and SPECtre). The tool IRSOM was also included as a comparison for tools using coding potential and RNA-seq coverage only. DeepRibo and Reparation_blast robustly predicted translated ORFs, including sORFs, with no significant difference for those inside or outside of operons. However, none of the tools was able to predict a set of recently identified, novel, experimentally-verified sORFs with high sensitivity. Overall, we find there is potential for improving the performance, applicability, usability, and reproducibility of prokaryotic ORF prediction tools that use Ribo-Seq as input. Key pointsO_LICreated a benchmark set for Ribo-seq based ORF prediction in bacteria C_LIO_LIDeepRibo the first choice for bacterial ORF prediction tasks C_LIO_LITool performance is comparable between operon vs single gene regions C_LIO_LIIdentification of novel sORF with DeepRibo is, with restrictions, possible, by using the top 100 novel sORFs sorted by rank. C_LIO_LIExperimental results show that considering translation initiation site data could boost the detection of novel small ORFs C_LIO_LIDetermination of novel sORFs in E. coli using a new experimental protocol to enrich for translation initiation site. These data-set shows that still a significant part (here 8 out 24, so 1/3) are not detected dispute sufficient Ribo-seq signal. An additional 7 could be recovered using translation initiation site protocols. C_LIO_LITools should embrace the use of replicate data and improve packaging, usability and documentation. C_LI

bioinformatics↗

bioRxiv2021

An RNase III processed, antisense RNA pair regulates a Campylobacter jejuni colonization factor

Bacterial small RNAs (sRNAs) are important post-transcriptional regulators in stress responses and virulence. They can be derived from an expanding list of genomic contexts, such as processing from parental transcripts by RNase E. The role of RNase III in sRNA biogenesis is less well understood despite its well-known roles in rRNA processing, RNA decay, and cleavage of sRNA-mRNA duplexes. Here, we show that RNase III processes a pair of cis-encoded sRNAs (CJnc190 and CJnc180) of the foodborne pathogen Campylobacter jejuni. While CJnc180 processing by RNase III requires CJnc190, In contrast, RNase III processes CJnc190 independent of CJnc180 via cleavage of an intramolecular duplex. We also show that CJnc190 directly represses translation of the colonization factor PtmG by targeting a G-rich ribosome binding site, and uncover that CJnc180 is a cis-acting antagonist of CJnc190, indirectly affecting ptmG regulation. Our study highlights a role for RNase III in sRNA biogenesis and adds cis-encoded RNAs to the expanding diversity of transcripts that antagonize bacterial sRNAs.

microbiology↗

bioRxiv2020

A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence

Small proteins are an emerging class of gene products with diverse roles in bacterial physiology. However, a full understanding of their importance has been hampered by insufficient genome annotations and a lack of comprehensive characterization in microbes other than Escherichia coli. We have taken an integrative approach to accelerate the discovery of small proteins and their putative virulence-associated functions in Salmonella Typhimurium. We merged the annotated small proteome of Salmonella with new small proteins predicted with in silico and experimental approaches. We then exploited existing and newly generated global datasets that provide information on small open reading frame expression during infection of epithelial cells (dual RNA-seq), contribution to bacterial fitness inside macrophages (TraDIS), and potential engagement in molecular interactions (Grad-seq). This integrative approach suggested a new role for the small protein MgrB beyond its known function in regulating PhoQ. We demonstrate a virulence and motility defect of a Salmonella {Delta}mgrB mutant and reveal an effect of MgrB in regulating the Salmonella transcriptome and proteome under infection-relevant conditions. Our study highlights the power of interpreting available "omics" datasets with a focus on small proteins, and may serve as a blueprint for a data integration-based survey of small proteins in diverse bacteria.

microbiology↗

bioRxiv2020

HRIBO - High-throughput analysis of bacterial ribosome profiling data

MotivationRibosome profiling (Ribo-seq) is a powerful approach based on ribosome-protected RNA fragments to explore the translatome of a cell, and is especially useful for the detection of small proteins (<=70 amino acids) that are recalcitrant to biochemical and in silico approaches. While pipelines are available to analyze Ribo-seq data, none are designed explicitly for the analysis of Ribo-seq data from prokaryotes, nor are they focused on the discovery of unannotated open reading frames (ORFs) in bacteria. ResultsWe present HRIBO (High-throughput annotation by Ribo-seq), a workflow to enable reproducible and high-throughput analysis of bacterial Ribo-seq data. The workflow performs all required pre-processing and quality control steps. Importantly, HRIBO outputs annotation-independent ORF predictions based on two complementary bacteria-focused tools, and integrates them with additional features. This facilitates the rapid discovery of novel ORFs and their prioritization for functional characterization. AvailabilityHRIBO is a free and open source project available under the GPL-3 license at: https://github.com/RickGelhausen/HRIBO

bioinformatics↗