23
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Genetic Response to Climatic Change: Insights from Ancient DNA and Phylochronology

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Understanding how climatic change impacts biological diversity is critical to conservation. Yet despite demonstrated effects of climatic perturbation on geographic ranges and population persistence, surprisingly little is known of the genetic response of species. Even less is known over ecologically long time scales pertinent to understanding the interplay between microevolution and environmental change. Here, we present a study of population variation by directly tracking genetic change and population size in two geographically widespread mammal species (Microtus montanus and Thomomys talpoides) during late-Holocene climatic change. We use ancient DNA to compare two independent estimates of population size (ecological and genetic) and corroborate our results with gene diversity and serial coalescent simulations. Our data and analyses indicate that, with population size decreasing at times of climatic change, some species will exhibit declining gene diversity as expected from simple population genetic models, whereas others will not. While our results could be consistent with selection, independent lines of evidence implicate differences in gene flow, which depends on the life history strategy of species.

          Abstract

          A novel analysis of paleoclimatic data, fossil abundance and contemporary and ancient DNA from different time periods introduces "phylochronology" and reveals how species respond genetically to climate change

          Related collections

          Most cited references51

          • Record: found
          • Abstract: not found
          • Article: not found

          The sampling theory of selectively neutral alleles.

          W.J. Ewens (1972)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Estimating mutation parameters, population history and genealogy simultaneously from temporally spaced sequence data.

            Molecular sequences obtained at different sampling times from populations of rapidly evolving pathogens and from ancient subfossil and fossil sources are increasingly available with modern sequencing technology. Here, we present a Bayesian statistical inference approach to the joint estimation of mutation rate and population size that incorporates the uncertainty in the genealogy of such temporally spaced sequences by using Markov chain Monte Carlo (MCMC) integration. The Kingman coalescent model is used to describe the time structure of the ancestral tree. We recover information about the unknown true ancestral coalescent tree, population size, and the overall mutation rate from temporally spaced data, that is, from nucleotide sequences gathered at different times, from different individuals, in an evolving haploid population. We briefly discuss the methodological implications and show what can be inferred, in various practically relevant states of prior knowledge. We develop extensions for exponentially growing population size and joint estimation of substitution model parameters. We illustrate some of the important features of this approach on a genealogy of HIV-1 envelope (env) partial sequences.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Phylogeography: the history and formation of species

                Bookmark

                Author and article information

                Journal
                PLoS Biol
                pbio
                PLoS Biology
                Public Library of Science (San Francisco, USA )
                1544-9173
                1545-7885
                October 2004
                7 September 2004
                : 2
                : 10
                : e290
                Affiliations
                [1] 1Department of Biological Sciences, Stanford University Stanford, CaliforniaUnited States of America
                [2] 2Museum of Vertebrate Zoology, University of California Berkeley, Berkeley, CaliforniaUnited States of America
                Article
                10.1371/journal.pbio.0020290
                515369
                15361933
                715da79a-334f-41da-9886-bc1cb31dc297
                Copyright: © 2004 Hadly et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
                History
                : 29 January 2004
                : 5 July 2004
                Categories
                Research Article
                Ecology
                Evolution
                Paleontology
                Zoology
                Mammals

                Life sciences
                Life sciences

                Comments

                Comment on this article