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.
Original language | English |
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Pages (from-to) | 1060-1074 |
Number of pages | 15 |
Journal | Molecular Ecology |
Volume | 26 |
Issue number | 4 |
DOIs | |
State | Published - Feb 1 2017 |
Bibliographical note
Publisher Copyright:© 2016 John Wiley & Sons Ltd
Funding
We thank the numerous people who have assisted with data collection, entry and management of the 37-yr Rainbow Bay study, especially J. Pechmann, B. Metts, A. Chazal, A. Dancewicz-Helmers, R. Estes, J. Greene, R. Semlitsch, J. McGregor-Morton, G. Moran and W. Gibbons. We thank the University of Kentucky Center for Computational Sciences and the Lipscomb High Performance Computing Cluster for access to computing resources. This research was supported by University of Kentucky (UKY) Department of Biology Mini-Ribble Grant, UKY College of Arts and Sciences Summer Research Fellowship, Kentucky NSF EPSCoR Award Number 3049024999, SSAR Grants in Herpetology, Kentucky Academy of Sciences Marcia Athey Fund, U. S. Department of Energy under Financial Assistance Award Number DE-FC09-07SR22506 to the University of Georgia Research Foundation, National Science Foundation Awards DEB-0949532 and DEB-1355000 (to DWW), and was also made possible by the Department of Energy's Set Aside Program and status of the Savannah River Site as a National Environmental Research Park.
Funders | Funder number |
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Kentucky Academy of Sciences | |
NSF-Kentucky EPSCoR | 3049024999 |
U. S. Department of Energy | DE-FC09-07SR22506 |
National Science Foundation (NSF) | DEB-0949532, DEB-1355000 |
Michigan State University-U.S. Department of Energy (MSU-DOE) Plant Research Laboratory | |
University of Kentucky | |
University of Kentucky Information Technology Department and Center for Computational Sciences | |
University of Georgia Research Foundation |
Keywords
- Ambystoma
- amphibian decline
- coalescent
- demographic inference
- genetic monitoring
- temporal samples
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Genetics