Evidence map›Paper›PMID 34878126›Full record

ArticleMolecular biology and evolution2022

Intermolecular Interactions Drive Protein Adaptive and Coadaptive Evolution at Both Species and Population Levels.

Junhui Peng, Nicolas Svetec, Li Zhao

Open access · goldAbstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Junhui PengLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA.
Nicolas SvetecLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA.ORCID 0000-0001-9617-2752
Li ZhaoLaboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, NY, USA.ORCID 0000-0001-6776-1996
Rockefeller University · US

Funding

The genetic and epigenetic mechanisms of phenotypic innovationhttps://apps.era.nih.gov/gm/reportCheckList.do?applicationID=9798249R35GM133780 · NIGMS · ROCKEFELLER UNIVERSITY · PI Li Zhao · 2019 to 2026
$3.5M
NIGMS NIH HHS R35 GM133780
6 · The paper itself

Abstract

Proteins are the building blocks for almost all the functions in cells. Understanding the molecular evolution of proteins and the forces that shape protein evolution is essential in understanding the basis of function and evolution. Previous studies have shown that adaptation frequently occurs at the protein surface, such as in genes involved in host-pathogen interactions. However, it remains unclear whether adaptive sites are distributed randomly or at regions associated with particular structural or functional characteristics across the genome, since many proteins lack structural or functional annotations. Here, we seek to tackle this question by combining large-scale bioinformatic prediction, structural analysis, phylogenetic inference, and population genomic analysis of Drosophila protein-coding genes. We found that protein sequence adaptation is more relevant to function-related rather than structure-related properties. Interestingly, intermolecular interactions contribute significantly to protein adaptation. We further showed that intermolecular interactions, such as physical interactions, may play a role in the coadaptation of fast-adaptive proteins. We found that strongly differentiated amino acids across geographic regions in protein-coding genes are mostly adaptive, which may contribute to the long-term adaptive evolution. This strongly indicates that a number of adaptive sites tend to be repeatedly mutated and selected throughout evolution in the past, present, and maybe future. Our results highlight the important roles of intermolecular interactions and coadaptation in the adaptive evolution of proteins both at the species and population levels.

Indexed as

DrosophilaEvolution, MolecularAnimalsGenomePhylogenyProteinsProteinsadaptive and nonadaptive changescoadaptationDrosophilaintermolecular interactionphysical interactionpopulation

Identifiers

PMID34878126
PMCPMC8789070
OpenAlexW4206512201

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.