Literature DB >> 33888580

Geography is more important than life history in the recent diversification of the tiger salamander complex.

Kathryn M Everson1, Levi N Gray1, Angela G Jones1, Nicolette M Lawrence1, Mary E Foley1, Kelly L Sovacool1,2, Justin D Kratovil1,3, Scott Hotaling1,4, Paul M Hime1,5, Andrew Storfer4, Gabriela Parra-Olea6, Ruth Percino-Daniel7, X Aguilar-Miguel8, Eric M O'Neill1, Luis Zambrano6, H Bradley Shaffer9, David W Weisrock10.   

Abstract

The North American tiger salamander species complex, including its best-known species, the Mexican axolotl, has long been a source of biological fascination. The complex exhibits a wide range of variation in developmental life history strategies, including populations and individuals that undergo metamorphosis; those able to forego metamorphosis and retain a larval, aquatic lifestyle (i.e., paedomorphosis); and those that do both. The evolution of a paedomorphic life history state is thought to lead to increased population genetic differentiation and ultimately reproductive isolation and speciation, but the degree to which it has shaped population- and species-level divergence is poorly understood. Using a large multilocus dataset from hundreds of samples across North America, we identified genetic clusters across the geographic range of the tiger salamander complex. These clusters often contain a mixture of paedomorphic and metamorphic taxa, indicating that geographic isolation has played a larger role in lineage divergence than paedomorphosis in this system. This conclusion is bolstered by geography-informed analyses indicating no effect of life history strategy on population genetic differentiation and by model-based population genetic analyses demonstrating gene flow between adjacent metamorphic and paedomorphic populations. This fine-scale genetic perspective on life history variation establishes a framework for understanding how plasticity, local adaptation, and gene flow contribute to lineage divergence. Many members of the tiger salamander complex are endangered, and the Mexican axolotl is an important model system in regenerative and biomedical research. Our results chart a course for more informed use of these taxa in experimental, ecological, and conservation research.

Entities:  

Keywords:  Ambystoma; life history; phylogenetics; population genomics; salamanders

Mesh:

Year:  2021        PMID: 33888580      PMCID: PMC8092605          DOI: 10.1073/pnas.2014719118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  47 in total

1.  Evolution of paedomorphosis in plethodontid salamanders: ecological correlates and re-evolution of metamorphosis.

Authors:  Ronald M Bonett; Michael A Steffen; Shea M Lambert; John J Wiens; Paul T Chippindale
Journal:  Evolution       Date:  2013-10-16       Impact factor: 3.694

2.  Marine speciation on a small planet.

Authors:  S R Palumbi
Journal:  Trends Ecol Evol       Date:  1992-04       Impact factor: 17.712

3.  Quartet inference from SNP data under the coalescent model.

Authors:  Julia Chifman; Laura Kubatko
Journal:  Bioinformatics       Date:  2014-08-07       Impact factor: 6.937

4.  Clumpak: a program for identifying clustering modes and packaging population structure inferences across K.

Authors:  Naama M Kopelman; Jonathan Mayzel; Mattias Jakobsson; Noah A Rosenberg; Itay Mayrose
Journal:  Mol Ecol Resour       Date:  2015-02-27       Impact factor: 7.090

5.  Evolutionary genetics of metamorphic failure using wild-caught vs. laboratory axolotls (Ambystoma mexicanum).

Authors:  S R Voss; H B Shaffer
Journal:  Mol Ecol       Date:  2000-09       Impact factor: 6.185

6.  Adaptive evolution via a major gene effect: paedomorphosis in the Mexican axolotl.

Authors:  S R Voss; H B Shaffer
Journal:  Proc Natl Acad Sci U S A       Date:  1997-12-09       Impact factor: 11.205

7.  Multiple nuclear gene sequences identify phylogenetic species boundaries in the rapidly radiating clade of Mexican ambystomatid salamanders.

Authors:  David W Weisrock; H Bradley Shaffer; Brian L Storz; Shonna R Storz; S Randal Voss
Journal:  Mol Ecol       Date:  2006-08       Impact factor: 6.185

8.  Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7.

Authors:  Andrew Rambaut; Alexei J Drummond; Dong Xie; Guy Baele; Marc A Suchard
Journal:  Syst Biol       Date:  2018-09-01       Impact factor: 15.683

9.  The variant call format and VCFtools.

Authors:  Petr Danecek; Adam Auton; Goncalo Abecasis; Cornelis A Albers; Eric Banks; Mark A DePristo; Robert E Handsaker; Gerton Lunter; Gabor T Marth; Stephen T Sherry; Gilean McVean; Richard Durbin
Journal:  Bioinformatics       Date:  2011-06-07       Impact factor: 6.937

10.  BEAST: Bayesian evolutionary analysis by sampling trees.

Authors:  Alexei J Drummond; Andrew Rambaut
Journal:  BMC Evol Biol       Date:  2007-11-08       Impact factor: 3.260

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