Literature DB >> 28026889

Genomic data detect corresponding signatures of population size change on an ecological time scale in two salamander species.

Schyler O Nunziata1, Stacey L Lance2, David E Scott2, Emily Moriarty Lemmon3, David W Weisrock1.   

Abstract

Understanding the demography of species over recent history (e.g. <100 years) is critical in studies of ecology and evolution, but records of population history are rarely available. Surveying genetic variation is a potential alternative to census-based estimates of population size, and can yield insight into the demography of a population. However, to assess the performance of genetic methods, it is important to compare their estimates of population history to known demography. Here, we leveraged the exceptional resources from a wetland with 37 years of amphibian mark-recapture data to study the utility of genetically based demographic inference on salamander species with documented population declines (Ambystoma talpoideum) and expansions (A. opacum), patterns that have been shown to be correlated with changes in wetland hydroperiod. We generated ddRAD data from two temporally sampled populations of A. opacum (1993, 2013) and A. talpoideum (1984, 2011) and used coalescent-based demographic inference to compare alternate evolutionary models. For both species, demographic model inference supported population size changes that corroborated mark-recapture data. Parameter estimation in A. talpoideum was robust to our variations in analytical approach, while estimates for A. opacum were highly inconsistent, tempering our confidence in detecting a demographic trend in this species. Overall, our robust results in A. talpoideum suggest that genome-based demographic inference has utility on an ecological scale, but researchers should also be cognizant that these methods may not work in all systems and evolutionary scenarios. Demographic inference may be an important tool for population monitoring and conservation management planning.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Ambystomazzm321990; amphibian decline; coalescent; demographic inference; genetic monitoring; temporal samples

Mesh:

Year:  2017        PMID: 28026889     DOI: 10.1111/mec.13988

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  9 in total

1.  Double-digest RAD-sequencing: do pre- and post-sequencing protocol parameters impact biological results?

Authors:  Tristan Cumer; Charles Pouchon; Frédéric Boyer; Glenn Yannic; Delphine Rioux; Aurélie Bonin; Thibaut Capblancq
Journal:  Mol Genet Genomics       Date:  2021-01-20       Impact factor: 3.291

2.  Estimation of contemporary effective population size and population declines using RAD sequence data.

Authors:  Schyler O Nunziata; David W Weisrock
Journal:  Heredity (Edinb)       Date:  2017-12-22       Impact factor: 3.821

3.  Genomic Data Reveal Conserved Female Heterogamety in Giant Salamanders with Gigantic Nuclear Genomes.

Authors:  Paul M Hime; Jeffrey T Briggler; Joshua S Reece; David W Weisrock
Journal:  G3 (Bethesda)       Date:  2019-10-07       Impact factor: 3.154

4.  Post-Pleistocene differentiation in a Central Interior Highlands endemic salamander.

Authors:  Jacob J Burkhart; Emily E Puckett; Chelsey J Beringer; Christine N Sholy; Raymond D Semlitsch; Lori S Eggert
Journal:  Ecol Evol       Date:  2019-08-27       Impact factor: 3.167

5.  From Cave Dragons to Genomics: Advancements in the Study of Subterranean Tetrapods.

Authors:  Hans Recknagel; Peter Trontelj
Journal:  Bioscience       Date:  2021-12-08       Impact factor: 8.589

6.  Conservation genomics of urban populations of Streamside Salamander (Ambystoma barbouri).

Authors:  N Wade Hubbs; Carla R Hurt; John Niedzwiecki; Brian Leckie; David Withers
Journal:  PLoS One       Date:  2022-06-30       Impact factor: 3.752

7.  Temporal genomic contrasts reveal rapid evolutionary responses in an alpine mammal during recent climate change.

Authors:  Ke Bi; Tyler Linderoth; Sonal Singhal; Dan Vanderpool; James L Patton; Rasmus Nielsen; Craig Moritz; Jeffrey M Good
Journal:  PLoS Genet       Date:  2019-05-03       Impact factor: 5.917

Review 8.  Population genomics for wildlife conservation and management.

Authors:  Paul A Hohenlohe; W Chris Funk; Om P Rajora
Journal:  Mol Ecol       Date:  2020-11-18       Impact factor: 6.185

9.  Demographic Reconstruction of Antarctic Fur Seals Supports the Krill Surplus Hypothesis.

Authors:  Joseph I Hoffman; Rebecca S Chen; David L J Vendrami; Anna J Paijmans; Kanchon K Dasmahapatra; Jaume Forcada
Journal:  Genes (Basel)       Date:  2022-03-18       Impact factor: 4.096

  9 in total

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