Low Complexity Regions in Mammalian Proteins are Associated with Low Protein Abundance and High Transcript Abundance.

low complexity, protein abundance, transcript abundance, protein regulation

Journal

Molecular biology and evolution
ISSN: 1537-1719
Titre abrégé: Mol Biol Evol
Pays: United States
ID NLM: 8501455

Informations de publication

Date de publication:
03 05 2022
Historique:
pubmed: 29 4 2022
medline: 14 5 2022
entrez: 28 4 2022
Statut: ppublish

Résumé

Low Complexity Regions (LCRs) are present in a surprisingly large number of eukaryotic proteins. These highly repetitive and compositionally biased sequences are often structurally disordered, bind promiscuously, and evolve rapidly. Frequently studied in terms of evolutionary dynamics, little is known about how LCRs affect the expression of the proteins which contain them. It would be expected that rapidly evolving LCRs are unlikely to be tolerated in strongly conserved, highly abundant proteins, leading to lower overall abundance in proteins which contain LCRs. To test this hypothesis and examine the associations of protein abundance and transcript abundance with the presence of LCRs, we have integrated high-throughput data from across mammals. We have found that LCRs are indeed associated with reduced protein abundance, but are also associated with elevated transcript abundance. These associations are qualitatively consistent across 12 human tissues and nine mammalian species. The differential impacts of LCRs on abundance at the protein and transcript level are not explained by differences in either protein degradation rates or the inefficiency of translation for LCR containing proteins. We suggest that rapidly evolving LCRs are a source of selective pressure on the regulatory mechanisms which maintain steady-state protein abundance levels.

Identifiants

pubmed: 35482425
pii: 6575407
doi: 10.1093/molbev/msac087
pmc: PMC9070799
pii:
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

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Auteurs

Zachery W Dickson (ZW)

Department of Biology, McMaster University, Hamilton, ON, Canada.

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Classifications MeSH