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ZENODO
Other literature type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
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Terminal regions of a protein are a hotspot for low complexity regions (LCRs) and selection

Authors: Vijay, Nagarjun;

Terminal regions of a protein are a hotspot for low complexity regions (LCRs) and selection

Abstract

The majority of eukaryotic protein-coding genes contain low complexity regions (LCRs), which serve as a distinct source of adaptive variation, functional diversification, and evolutionary novelty. The intricate governance of low complexity regions (LCRs) involves the interplay of selection and mutation dynamics, necessitating a more comprehensive understanding of their complex interdependence. Our investigation demonstrates that positively-selected sites (PSS) and low complexity regions (LCRs) are predominantly located in terminal gene regions across most Tetrapoda clades. In seven of the twelve clades studied, PSS are notably favored within LCRs, revealing a positional specificity for PSS within genes. Central-PSS genes are mainly associated with defense responses, while terminal-PSS genes serve non-specific functions. Furthermore, genes with LCRs in the Tetrapoda clade exhibit a higher %GC and lower ω (dN/dS) compared to those without LCRs, indicating intense purifying selection despite rapid functional diversity. Our findings highlight a consistent prevalence of LCRs at lower purity levels, with a clear preference for specific gene positions as LCR stretch purity increases, suggesting a composition-dependent evolutionary role. Overall, these results significantly contribute to our understanding of how the intricate interplay between selection and LCRs shapes genetic diversity and adaptation within the Tetrapoda clade.

Keywords

FOS: Computer and information sciences, Evolution, Bioinformatics, Genomics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average