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Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins

Ribosomal genes produce the constituents of the ribosome, one of the most conserved subcellular structures of all cells, from bacteria to eukaryotes, including animals. There are notions that some protein-coding ribosomal genes vary in their roles across species, particularly vertebrates, through th...

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Autores principales: Kyritsis, Konstantinos A, Ouzounis, Christos A, Angelis, Lefteris, Vizirianakis, Ioannis S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671327/
https://www.ncbi.nlm.nih.gov/pubmed/33575632
http://dx.doi.org/10.1093/nargab/lqaa088
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author Kyritsis, Konstantinos A
Ouzounis, Christos A
Angelis, Lefteris
Vizirianakis, Ioannis S
author_facet Kyritsis, Konstantinos A
Ouzounis, Christos A
Angelis, Lefteris
Vizirianakis, Ioannis S
author_sort Kyritsis, Konstantinos A
collection PubMed
description Ribosomal genes produce the constituents of the ribosome, one of the most conserved subcellular structures of all cells, from bacteria to eukaryotes, including animals. There are notions that some protein-coding ribosomal genes vary in their roles across species, particularly vertebrates, through the involvement of some in a number of genetic diseases. Based on extensive sequence comparisons and systematic curation, we establish a reference set for ribosomal proteins (RPs) in eleven vertebrate species and quantify their sequence conservation levels. Moreover, we correlate their coordinated gene expression patterns within up to 33 tissues and assess the exceptional role of paralogs in tissue specificity. Importantly, our analysis supported by the development and use of machine learning models strongly proposes that the variation in the observed tissue-specific gene expression of RPs is rather species-related and not due to tissue-based evolutionary processes. The data obtained suggest that RPs exhibit a complex relationship between their structure and function that broadly maintains a consistent expression landscape across tissues, while most of the variation arises from species idiosyncrasies. The latter may be due to evolutionary change and adaptation, rather than functional constraints at the tissue level throughout the vertebrate lineage.
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spelling pubmed-76713272021-02-10 Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins Kyritsis, Konstantinos A Ouzounis, Christos A Angelis, Lefteris Vizirianakis, Ioannis S NAR Genom Bioinform Standard Article Ribosomal genes produce the constituents of the ribosome, one of the most conserved subcellular structures of all cells, from bacteria to eukaryotes, including animals. There are notions that some protein-coding ribosomal genes vary in their roles across species, particularly vertebrates, through the involvement of some in a number of genetic diseases. Based on extensive sequence comparisons and systematic curation, we establish a reference set for ribosomal proteins (RPs) in eleven vertebrate species and quantify their sequence conservation levels. Moreover, we correlate their coordinated gene expression patterns within up to 33 tissues and assess the exceptional role of paralogs in tissue specificity. Importantly, our analysis supported by the development and use of machine learning models strongly proposes that the variation in the observed tissue-specific gene expression of RPs is rather species-related and not due to tissue-based evolutionary processes. The data obtained suggest that RPs exhibit a complex relationship between their structure and function that broadly maintains a consistent expression landscape across tissues, while most of the variation arises from species idiosyncrasies. The latter may be due to evolutionary change and adaptation, rather than functional constraints at the tissue level throughout the vertebrate lineage. Oxford University Press 2020-11-06 /pmc/articles/PMC7671327/ /pubmed/33575632 http://dx.doi.org/10.1093/nargab/lqaa088 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Standard Article
Kyritsis, Konstantinos A
Ouzounis, Christos A
Angelis, Lefteris
Vizirianakis, Ioannis S
Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins
title Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins
title_full Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins
title_fullStr Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins
title_full_unstemmed Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins
title_short Sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins
title_sort sequence variation, common tissue expression patterns and learning models: a genome-wide survey of vertebrate ribosomal proteins
topic Standard Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671327/
https://www.ncbi.nlm.nih.gov/pubmed/33575632
http://dx.doi.org/10.1093/nargab/lqaa088
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