Evidence map›Paper›PMID 33818680›Full record

ArticleBiogerontology2021

Analysis of longevity in Chordata identifies species with exceptional longevity among taxa and points to the evolution of longer lifespans.

Caglar Berkel, Ercan Cacan

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Article in Biogerontology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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4 · The record

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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

2 authors.

Caglar BerkelDepartment of Molecular Biology and Genetics, Tokat Gaziosmanpasa University, 60250, Tokat, Turkey. caglar.berkel@gop.edu.tr.ORCID 0000-0003-4787-5157
Ercan CacanDepartment of Molecular Biology and Genetics, Tokat Gaziosmanpasa University, 60250, Tokat, Turkey. ercan.cacan@gop.edu.tr.ORCID 0000-0002-3487-9493

Funding

TUBITAK 2211-E
6 · The paper itself

Abstract

Animals have a considerable variation in their longevity. This fundamental life-history trait is shaped by both intrinsic and extrinsic mortality pressures, influenced by multiple parameters including ecological variables and mode-of-life traits. Here, we examined the distribution of maximum age at multiple taxonomic ranks (class, order and family) in Chordata, and identified species with exceptional longevity within various taxa. We used a curated dataset of maximum longevity of animals from AnAge database, containing a total of 2542 chordates following our filtering criteria. We determined shapes of maximum age distributions at class, order and family taxonomic ranks, and calculated skewness values for each distribution, in R programming environment. We identified species with exceptional longevity compared to other species belonging to the same taxa, based on our definition of outliers. We collected data on ecological variables and mode-of-life traits which might possibly contribute, at least in part, to the exceptional lifespans of certain chordates. We found that 23, 12 and 4 species have exceptional longevity when we grouped chordates by their class, order and family, respectively. Almost all distributions of maximum age among taxa were positively skewed (towards increased longevity), possibly showing the emergence of longer lifespans in contrast to shorter lifespans, through the course of evolution. However, potential biases in the collection of data should be taken into account. Most of the identified species in the current study have not been previously studied in the context of animal longevity. Our analyses point that certain chordates may have evolved to have longer lifespans compared to other species belonging to the same taxa, and that among taxa, outliers in terms of maximum age have always longer lifespans, not shorter. Future research is required to understand how and why increased longevity have arose in certain species.

Indexed as

ChordataLongevityAnimalsPhenotypeAgingAnimal lifespanChordataExceptional lifespanExtrinsic mortalityLongevityMortality

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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.