Evidence map›Paper›PMID 36099283›Full record

ArticlePloS one2022

Comparison of genetic variation between rare and common congeners of Dipodomys with estimates of contemporary and historical effective population size.

Michaela K Halsey, John D Stuhler, Natalia J Bayona-Vásquez, Roy N Platt, Jim R Goetze, Robert E Martin, Kenneth G Matocha, Robert D Bradley, Richard D Stevens, David A Ray

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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Michaela K HalseyDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America.
John D StuhlerDepartment of Natural Resources Management, Texas Tech University, Lubbock, Texas, United States of America.
Natalia J Bayona-VásquezDepartment of Environmental Health Science, University of Georgia, Athens, Georgia, United States of America.ORCID 0000-0003-0602-2289
Roy N PlattTexas Biomedical Research Institute, San Antonio, Texas, United States of America.
Jim R GoetzeNatural Sciences Department, Laredo College, Laredo, Texas, United States of America.
Robert E MartinDepartment of Biology, McMurry University, Abilene, Texas, United States of America.
Kenneth G MatochaDepartment of Biology, South Arkansas Community College, El Dorado, Arkansas, United States of America.
Robert D BradleyDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America.
Richard D StevensDepartment of Natural Resources Management, Texas Tech University, Lubbock, Texas, United States of America.
David A RayDepartment of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America.ORCID 0000-0002-3340-3987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species with low effective population sizes are at greater risk of extinction because of reduced genetic diversity. Such species are more vulnerable to chance events that decrease population sizes (e.g. demographic stochasticity). Dipodomys elator, (Texas kangaroo rat) is a kangaroo rat that is classified as threatened in Texas and field surveys from the past 50 years indicate that the distribution of this species has decreased. This suggests geographic range reductions that could have caused population fluctuations, potentially impacting effective population size. Conversely, the more common and widespread D. ordii (Ord's kangaroo rat) is thought to exhibit relative geographic and demographic stability. We assessed the genetic variation of D. elator and D. ordii samples using 3RAD, a modified restriction site associated sequencing approach. We hypothesized that D. elator would show lower levels of nucleotide diversity, observed heterozygosity, and effective population size when compared to D. ordii. We were also interested in identifying population structure within contemporary samples of D. elator and detecting genetic variation between temporal samples to understand demographic dynamics. We analyzed up to 61,000 single nucleotide polymorphisms. We found that genetic variability and effective population size in contemporary D. elator populations is lower than that of D. ordii. There is slight, if any, population structure within contemporary D. elator samples, and we found low genetic differentiation between spatial or temporal historical samples. This indicates little change in nuclear genetic diversity over 30 years. Results suggest that genetic diversity of D. elator has remained stable despite reduced population size and/or abundance, which may indicate a metapopulation-like system, whose fluctuations might counteract species extinction.

Indexed as

DipodomysGenetic VariationAnimalsBase SequencePopulation DensityTexas

Identifiers

PMID36099283
PMCPMC9469943

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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.