Evidence map›Paper›PMID 25359921›Full record

ArticleGenome biology and evolution2014

Protein-protein interfaces from cytochrome c oxidase I evolve faster than nonbinding surfaces, yet negative selection is the driving force.

Juan Carlos Aledo, Héctor Valverde, Manuel Ruíz-Camacho, Ian Morilla, Francisco Demetrio López

Abstract read
In one paragraph

Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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  5. Assessing the fitness consequences of mitonuclear interactions in natural populations.Biological reviews of the Cambridge Philosophical Society · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Juan Carlos AledoDepartamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Spain caledo@uma.es.
Héctor ValverdeDepartamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Spain.
Manuel Ruíz-CamachoDepartamento de Estadística e Investigación Operativa, Facultad de Ciencias, Universidad de Málaga, Spain.
Ian MorillaDepartamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Spain.
Francisco Demetrio LópezDepartamento de Estadística e Investigación Operativa, Facultad de Ciencias, Universidad de Málaga, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory complexes are encoded by two genomes (mitochondrial DNA [mtDNA] and nuclear DNA [nDNA]). Although the importance of intergenomic coadaptation is acknowledged, the forces and constraints shaping such coevolution are largely unknown. Previous works using cytochrome c oxidase (COX) as a model enzyme have led to the so-called "optimizing interaction" hypothesis. According to this view, mtDNA-encoded residues close to nDNA-encoded residues evolve faster than the rest of positions, favoring the optimization of protein-protein interfaces. Herein, using evolutionary data in combination with structural information of COX, we show that failing to discern the effects of interaction from other structural and functional effects can lead to deceptive conclusions such as the "optimizing hypothesis." Once spurious factors have been accounted for, data analysis shows that mtDNA-encoded residues engaged in contacts are, in general, more constrained than their noncontact counterparts. Nevertheless, noncontact residues from the surface of COX I subunit are a remarkable exception, being subjected to an exceptionally high purifying selection that may be related to the maintenance of a suitable heme environment. We also report that mtDNA-encoded residues involved in contacts with other mtDNA-encoded subunits are more constrained than mtDNA-encoded residues interacting with nDNA-encoded polypeptides. This differential behavior cannot be explained on the basis of predicted thermodynamic stability, as interactions between mtDNA-encoded subunits contribute more weakly to the complex stability than those interactions between subunits encoded by different genomes. Therefore, the higher conservation observed among mtDNA-encoded residues involved in intragenome interactions is likely due to factors other than structural stability.

Indexed as

Evolution, MolecularSelection, GeneticAmino Acid SequenceAnimalsBinding SitesCattleDNA, MitochondrialElectron Transport Complex IVMolecular Sequence DataProtein BindingProtein SubunitsDNA, MitochondrialElectron Transport Complex IVProtein SubunitsCOXcytonuclear coevolutionevolutionary ratesmitochondriaoxidative phosphorylationprotein evolution

Identifiers

PMID25359921
PMCPMC4255772

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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.