Evidence map›Paper›PMID 33791336›Full record

ArticleFrontiers in molecular biosciences2021

Long-Lived Species of Bivalves Exhibit Low MT-DNA Substitution Rates.

Mathieu Mortz, Aurore Levivier, Nicolas Lartillot, France Dufresne, Pierre U Blier

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

5 authors.

Mathieu MortzInstitut Des Sciences De La Mer De Rimouski, Université Du Québec à Rimouski, Rimouski, QC, Canada.
Aurore LevivierInstitut Des Sciences De La Mer De Rimouski, Université Du Québec à Rimouski, Rimouski, QC, Canada.
Nicolas LartillotLaboratoire De Biométrie et Biologie Evolutive, UMR CNRS, Université Lyon 1, Villeurbanne, France.
France DufresneLaboratoire D'écologie Moléculaire, Département De Biologie, Université Du Québec à Rimouski, Rimouski, QC, Canada.
Pierre U BlierLaboratoire De Physiologie Intégrative Et Evolutive, Département De Biologie, Université Du Québec à Rimouski, Rimouski, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bivalves represent valuable taxonomic group for aging studies given their wide variation in longevity (from 1-2 to >500 years). It is well known that aging is associated to the maintenance of Reactive Oxygen Species homeostasis and that mitochondria phenotype and genotype dysfunctions accumulation is a hallmark of these processes. Previous studies have shown that mitochondrial DNA mutation rates are linked to lifespan in vertebrate species, but no study has explored this in invertebrates. To this end, we performed a Bayesian Phylogenetic Covariance model of evolution analysis using 12 mitochondrial protein-coding genes of 76 bivalve species. Three life history traits (maximum longevity, generation time and mean temperature tolerance) were tested against 1) synonymous substitution rates (dS), 2) conservative amino acid replacement rates (Kc) and 3) ratios of radical over conservative amino acid replacement rates (Kr/Kc). Our results confirm the already known correlation between longevity and generation time and show, for the first time in an invertebrate class, a significant negative correlation between dS and longevity. This correlation was not as strong when generation time and mean temperature tolerance variations were also considered in our model (marginal correlation), suggesting a confounding effect of these traits on the relationship between longevity and mtDNA substitution rate. By confirming the negative correlation between dS and longevity previously documented in birds and mammals, our results provide support for a general pattern in substitution rates.

Indexed as

bayesian statisticsbivalvelife-history evolutionlongevityMarkov chain Monte Carlomitochondrial genomesynonymous substitution rates

Identifiers

PMID33791336
PMCPMC8005583

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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.