Evidence map›Paper›PMID 31805058›Full record

ArticlePloS one2019

Genetic variation across trophic levels: A test of the correlation between population size and genetic diversity in sympatric desert lizards.

Erica M Rutherford, Andrew Ontano, Camille Kantor, Eric J Routman

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Erica M RutherfordDepartment of Biology, San Francisco State University, Holloway Avenue, San Francisco, California, United States of America.
Andrew OntanoDepartment of Biology, San Francisco State University, Holloway Avenue, San Francisco, California, United States of America.
Camille KantorDepartment of Biology, San Francisco State University, Holloway Avenue, San Francisco, California, United States of America.
Eric J RoutmanDepartment of Biology, San Francisco State University, Holloway Avenue, San Francisco, California, United States of America.ORCID 0000-0002-4839-995X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the causes of genetic variation in real populations has been elusive. Competing theories claim that neutral vs. selective processes have a greater influence on the genetic variation within a population. A key difference among theories is the relationship between population size and genetic diversity. Our study tests this empirically by sampling two species of herbivorous lizards (Dipsosaurus dorsalis and Sauromalus ater) and two species of carnivorous lizards (Crotaphytus bicinctores and Gambelia wislizenii) that vary in population size at the same locality, and comparing metrics of genetic diversity. Contrary to neutral expectations, results from four independent loci showed levels of diversity were usually higher for species with smaller population sizes. This suggests that selective processes may be having an important impact on intraspecific diversity in this reptile community, although tests showed little evidence for selection on the loci sequenced for this study. It is also possible that idiosyncratic histories of the focal species may be overriding predictions from simple neutral models. If future studies show that lack of correlation between population size and genetic diversity is common, methods using genetic diversity to estimate population parameters like population size or time to common ancestor should be used with caution, as these estimates are based on neutral theory predictions.

Indexed as

Genetic VariationSympatryAnimalsDesert ClimateDNA, MitochondrialLizardsPopulation DensitySpecies SpecificityDNA, Mitochondrial

Identifiers

PMID31805058
PMCPMC6894812

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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.