Unraveling the small proteome of the plant symbiontSinorhizobium melilotiby ribosome profiling and proteogenomics

Author:

Hadjeras Lydia1ORCID,Heiniger Benjamin2,Maaß Sandra3ORCID,Scheuer Robina4,Gelhausen Rick5ORCID,Azarderakhsh Saina4,Barth-Weber Susanne4,Backofen Rolf5ORCID,Becher Dörte3ORCID,Ahrens Christian H2ORCID,Sharma Cynthia M1ORCID,Evguenieva-Hackenberg Elena4ORCID

Affiliation:

1. Institute of Molecular Infection Biology, University of Würzburg , 97080 Würzburg, Germany

2. Molecular Ecology, Agroscope and SIB Swiss Institute of Bioinformatics , 8046 Zurich, Switzerland

3. Institute of Microbiology, University of Greifswald , 17489 Greifswald, Germany

4. Institute of Microbiology and Molecular Biology, University of Giessen , 35392 Giessen, Germany

5. Bioinformatics Group, Department of Computer Science, University of Freiburg , 79110 Freiburg, Germany

Abstract

AbstractThe 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, identification 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 confidence. The Ribo-seq data were supplemented by mass spectrometry (MS) analyses from three sample preparation approaches and two integrated proteogenomic search database (iPtgxDB) types. Searches against standard and 20-fold smaller Ribo-seq data-informed custom iPtgxDBs confirmed 47 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 combining MS and Ribo-seq approaches, the small proteome of S. meliloti was substantially expanded by 48 novel SEPs. Several of them are part of predicted operons and/or are conserved from Rhizobiaceae to Bacteria, suggesting important physiological functions.

Funder

German Research Foundation

Swiss National Science Foundation

de.NBI

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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