Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Quantifying the relationship between genetic diversity and population size suggests natural selection cannot explain Lewontin’s Paradox

      research-article
      ,
      eLife
      eLife Sciences Publications, Ltd
      Lewontin's Paradox, phylogenetic comparative methods, linked selection, None

      Read this article at

      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

          Neutral theory predicts that genetic diversity increases with population size, yet observed levels of diversity across metazoans vary only two orders of magnitude while population sizes vary over several. This unexpectedly narrow range of diversity is known as Lewontin’s Paradox of Variation (1974). While some have suggested selection constrains diversity, tests of this hypothesis seem to fall short. Here, I revisit Lewontin’s Paradox to assess whether current models of linked selection are capable of reducing diversity to this extent. To quantify the discrepancy between pairwise diversity and census population sizes across species, I combine previously-published estimates of pairwise diversity from 172 metazoan taxa with newly derived estimates of census sizes. Using phylogenetic comparative methods, I show this relationship is significant accounting for phylogeny, but with high phylogenetic signal and evidence that some lineages experience shifts in the evolutionary rate of diversity deep in the past. Additionally, I find a negative relationship between recombination map length and census size, suggesting abundant species have less recombination and experience greater reductions in diversity due to linked selection. However, I show that even assuming strong and abundant selection, models of linked selection are unlikely to explain the observed relationship between diversity and census sizes across species.

          Related collections

          Most cited references168

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

          phytools: an R package for phylogenetic comparative biology (and other things)

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

            Stan: A Probabilistic Programming Language

            Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm. Stan is also a platform for computing log densities and their gradients and Hessians, which can be used in alternative algorithms such as variational Bayes, expectation propagation, and marginal inference using approximate integration. To this end, Stan is set up so that the densities, gradients, and Hessians, along with intermediate quantities of the algorithm such as acceptance probabilities, are easily accessible. Stan can be called from the command line using the cmdstan package, through R using the rstan package, and through Python using the pystan package. All three interfaces support sampling and optimization-based inference with diagnostics and posterior analysis. rstan and pystan also provide access to log probabilities, gradients, Hessians, parameter transforms, and specialized plotting.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Simple Features for R: Standardized Support for Spatial Vector Data

                Bookmark

                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                19 August 2021
                2021
                : 10
                : e67509
                Affiliations
                [1] Institute for Ecology and Evolution, University of Oregon Eugene United States
                Columbia University United States
                Max Planck Institute for Developmental Biology Germany
                Columbia University United States
                Columbia University United States
                University of British Columbia
                Author information
                https://orcid.org/0000-0003-4510-1609
                Article
                67509
                10.7554/eLife.67509
                8486380
                34409937
                6f72406f-7b5c-4837-aea2-5a9d8218d8b6
                © 2021, Buffalo

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 12 February 2021
                : 16 August 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: 1R01GM117241
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Evolutionary Biology
                Custom metadata
                Quantifying the relationship between census sizes and genetic diversity estimates provides insights into whether natural selection can explain the narrow range of diversity between species.

                Life sciences
                lewontin's paradox,phylogenetic comparative methods,linked selection,none
                Life sciences
                lewontin's paradox, phylogenetic comparative methods, linked selection, none

                Comments

                Comment on this article