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Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics
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 det...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117765/ https://www.ncbi.nlm.nih.gov/pubmed/37223733 http://dx.doi.org/10.1093/femsml/uqad012 |
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author | Hadjeras, Lydia Heiniger, Benjamin Maaß, Sandra Scheuer, Robina Gelhausen, Rick Azarderakhsh, Saina Barth-Weber, Susanne Backofen, Rolf Becher, Dörte Ahrens, Christian H Sharma, Cynthia M Evguenieva-Hackenberg, Elena |
author_facet | Hadjeras, Lydia Heiniger, Benjamin Maaß, Sandra Scheuer, Robina Gelhausen, Rick Azarderakhsh, Saina Barth-Weber, Susanne Backofen, Rolf Becher, Dörte Ahrens, Christian H Sharma, Cynthia M Evguenieva-Hackenberg, Elena |
author_sort | Hadjeras, Lydia |
collection | PubMed |
description | 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, 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. |
format | Online Article Text |
id | pubmed-10117765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101177652023-05-23 Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics Hadjeras, Lydia Heiniger, Benjamin Maaß, Sandra Scheuer, Robina Gelhausen, Rick Azarderakhsh, Saina Barth-Weber, Susanne Backofen, Rolf Becher, Dörte Ahrens, Christian H Sharma, Cynthia M Evguenieva-Hackenberg, Elena Microlife Research Article 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, 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. Oxford University Press 2023-03-10 /pmc/articles/PMC10117765/ /pubmed/37223733 http://dx.doi.org/10.1093/femsml/uqad012 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of FEMS. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hadjeras, Lydia Heiniger, Benjamin Maaß, Sandra Scheuer, Robina Gelhausen, Rick Azarderakhsh, Saina Barth-Weber, Susanne Backofen, Rolf Becher, Dörte Ahrens, Christian H Sharma, Cynthia M Evguenieva-Hackenberg, Elena Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics |
title | Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics |
title_full | Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics |
title_fullStr | Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics |
title_full_unstemmed | Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics |
title_short | Unraveling the small proteome of the plant symbiont Sinorhizobium meliloti by ribosome profiling and proteogenomics |
title_sort | unraveling the small proteome of the plant symbiont sinorhizobium meliloti by ribosome profiling and proteogenomics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10117765/ https://www.ncbi.nlm.nih.gov/pubmed/37223733 http://dx.doi.org/10.1093/femsml/uqad012 |
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