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Decoupling of evolutionary changes in mRNA and protein levels
Variation in gene expression across lineages is thought to explain much of the observed phenotypic variation and adaptation. The protein is closer to the target of natural selection but gene expression is typically measured as the amount of mRNA. The broad assumption that mRNA levels are good proxie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104238/ https://www.ncbi.nlm.nih.gov/pubmed/37066157 http://dx.doi.org/10.1101/2023.04.08.536110 |
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author | Jiang, Daohan Cope, Alexander L. Zhang, Jianzhi Pennell, Matt |
author_facet | Jiang, Daohan Cope, Alexander L. Zhang, Jianzhi Pennell, Matt |
author_sort | Jiang, Daohan |
collection | PubMed |
description | Variation in gene expression across lineages is thought to explain much of the observed phenotypic variation and adaptation. The protein is closer to the target of natural selection but gene expression is typically measured as the amount of mRNA. The broad assumption that mRNA levels are good proxies for protein levels has been undermined by a number of studies reporting moderate or weak correlations between the two measures across species. One biological explanation for this discrepancy is that there has been compensatory evolution between the mRNA level and regulation of translation. However, we do not understand the evolutionary conditions necessary for this to occur nor the expected strength of the correlation between mRNA and protein levels. Here we develop a theoretical model for the coevolution of mRNA and protein levels and investigate the dynamics of the model over time. We find that compensatory evolution is widespread when there is stabilizing selection on the protein level, which is true across a variety of regulatory pathways. When the protein level is under directional selection, the mRNA level of a gene and its translation rate of the same gene were negatively correlated across lineages but positively correlated across genes. These findings help explain results from comparative studies of gene expression and potentially enable researchers to disentangle biological and statistical hypotheses for the mismatch between transcriptomic and proteomic studies. |
format | Online Article Text |
id | pubmed-10104238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101042382023-04-15 Decoupling of evolutionary changes in mRNA and protein levels Jiang, Daohan Cope, Alexander L. Zhang, Jianzhi Pennell, Matt bioRxiv Article Variation in gene expression across lineages is thought to explain much of the observed phenotypic variation and adaptation. The protein is closer to the target of natural selection but gene expression is typically measured as the amount of mRNA. The broad assumption that mRNA levels are good proxies for protein levels has been undermined by a number of studies reporting moderate or weak correlations between the two measures across species. One biological explanation for this discrepancy is that there has been compensatory evolution between the mRNA level and regulation of translation. However, we do not understand the evolutionary conditions necessary for this to occur nor the expected strength of the correlation between mRNA and protein levels. Here we develop a theoretical model for the coevolution of mRNA and protein levels and investigate the dynamics of the model over time. We find that compensatory evolution is widespread when there is stabilizing selection on the protein level, which is true across a variety of regulatory pathways. When the protein level is under directional selection, the mRNA level of a gene and its translation rate of the same gene were negatively correlated across lineages but positively correlated across genes. These findings help explain results from comparative studies of gene expression and potentially enable researchers to disentangle biological and statistical hypotheses for the mismatch between transcriptomic and proteomic studies. Cold Spring Harbor Laboratory 2023-04-08 /pmc/articles/PMC10104238/ /pubmed/37066157 http://dx.doi.org/10.1101/2023.04.08.536110 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Jiang, Daohan Cope, Alexander L. Zhang, Jianzhi Pennell, Matt Decoupling of evolutionary changes in mRNA and protein levels |
title | Decoupling of evolutionary changes in mRNA and protein levels |
title_full | Decoupling of evolutionary changes in mRNA and protein levels |
title_fullStr | Decoupling of evolutionary changes in mRNA and protein levels |
title_full_unstemmed | Decoupling of evolutionary changes in mRNA and protein levels |
title_short | Decoupling of evolutionary changes in mRNA and protein levels |
title_sort | decoupling of evolutionary changes in mrna and protein levels |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104238/ https://www.ncbi.nlm.nih.gov/pubmed/37066157 http://dx.doi.org/10.1101/2023.04.08.536110 |
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