Biology subjects

Gelhausen, R.

Publications and source records attributed to Gelhausen, R..

9 recordsLinked to original sources

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↗

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↗

bioRxiv2023

Ribosome profiling reveals the fine-tuned response of Escherichia coli to mild and severe acid stress

The ability to respond to acidic environments is crucial for neutralophilic bacteria. Escherichia coli has a well-characterized regulatory network that triggers a multitude of defense mechanisms to counteract excess of protons. Nevertheless, systemic studies of the transcriptional and translational reprogramming of E. coli to different degrees of acid stress have not yet been performed. Here, we used ribosome profiling and RNA sequencing to compare the response of E. coli (pH 7.6) to sudden mild (pH 5.8) and severe near-lethal acid stress (pH 4.4) conditions that mimic passage through the gastrointestinal tract. We uncovered new differentially regulated genes and pathways, key transcriptional regulators, and 18 novel acid-induced candidate sORFs. By using machine learning leveraging large compendia of publicly available E. coli expression data, we were able to distinguish between the response to acid stress and general stress. These results expand the acid resistance network and provide new insights into the fine-tuned response of E. coli to mild and severe acid stress.

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↗

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↗

bioRxiv2018

uORF-Tools - Workflow for the determination of translation-regulatory upstream open reading frames

Ribosome profiling (ribo-seq) provides a means to analyze active translation by determining ribosome occupancy in a transcriptome-wide manner. The vast majority of ribosome protected fragments resides within the protein-coding sequence of mRNAs. However, commonly reads are also found within the transcript leader sequence (TLS) (aka 5 untranslated region) preceding the main open reading frame (ORF), which indicates the translation of regulatory upstream ORFs (uORFs). Here, we present a workflow for the identification of functional uORFs, which contribute to the translational regulation of their associated main ORFs. The workflow is available as free and open Snakemake workflow. Furthermore, we provide a comprehensive human uORF annotation file, which can be used within the pipeline, thus reducing the runtime. (Availability: https://github.com/anibunny12/uORF-Tools)

bioinformatics↗