Literature DB >> 30739375

Is genomic diversity a useful proxy for census population size? Evidence from a species-rich community of desert lizards.

Maggie R Grundler1,2, Sonal Singhal1,3, Mark A Cowan4, Daniel L Rabosky1.   

Abstract

Species abundance data are critical for testing ecological theory, but obtaining accurate empirical estimates for many taxa is challenging. Proxies for species abundance can help researchers circumvent time and cost constraints that are prohibitive for long-term sampling. Under simple demographic models, genetic diversity is expected to correlate with census size, such that genome-wide heterozygosity may provide a surrogate measure of species abundance. We tested whether nucleotide diversity is correlated with long-term estimates of abundance, occupancy and degree of ecological specialization in a diverse lizard community from arid Australia. Using targeted sequence capture, we obtained estimates of genomic diversity from 30 species of lizards, recovering an average of 5,066 loci covering 3.6 Mb of DNA sequence per individual. We compared measures of individual heterozygosity to a metric of habitat specialization to investigate whether ecological preference exerts a measurable effect on genetic diversity. We find that heterozygosity is significantly correlated with species abundance and occupancy, but not habitat specialization. Demonstrating the power of genomic sampling, the correlation between heterozygosity and abundance/occupancy emerged from considering just one or two individuals per species. However, genetic diversity does no better at predicting abundance than a single day of traditional sampling in this community. We conclude that genetic diversity is a useful proxy for regional-scale species abundance and occupancy, but a large amount of unexplained variation in heterozygosity suggests additional constraints or a failure of ecological sampling to adequately capture variation in true population size.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  Lewontin's paradox; heterozygosity; species abundance; squamates; target capture

Mesh:

Year:  2019        PMID: 30739375     DOI: 10.1111/mec.15042

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


  6 in total

1.  Species ecology explains the spatial components of genetic diversity in tropical reef fishes.

Authors:  Giulia Francesca Azzurra Donati; Niklaus Zemp; Stéphanie Manel; Maude Poirier; Thomas Claverie; Franck Ferraton; Théo Gaboriau; Rodney Govinden; Oskar Hagen; Shameel Ibrahim; David Mouillot; Julien Leblond; Pagu Julius; Laure Velez; Irthisham Zareer; Adam Ziyad; Fabien Leprieur; Camille Albouy; Loïc Pellissier
Journal:  Proc Biol Sci       Date:  2021-09-29       Impact factor: 5.530

2.  Genetic variation across trophic levels: A test of the correlation between population size and genetic diversity in sympatric desert lizards.

Authors:  Erica M Rutherford; Andrew Ontano; Camille Kantor; Eric J Routman
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

3.  Population genomic monitoring provides insight into conservation status but no correlation with demographic estimates of extinction risk in a threatened trout.

Authors:  William Hemstrom; Daniel Dauwalter; Mary M Peacock; Douglas Leasure; Seth Wenger; Michael R Miller; Helen Neville
Journal:  Evol Appl       Date:  2022-09-04       Impact factor: 4.929

4.  Genetic variability and the ecology of geographic range: A test of the central-marginal hypothesis in Australian scincid lizards.

Authors:  Sonal Singhal; John Wrath; Daniel L Rabosky
Journal:  Mol Ecol       Date:  2022-07-14       Impact factor: 6.622

5.  No link between population isolation and speciation rate in squamate reptiles.

Authors:  Sonal Singhal; Guarino R Colli; Maggie R Grundler; Gabriel C Costa; Ivan Prates; Daniel L Rabosky
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-25       Impact factor: 12.779

6.  Genomic methods reveal independent demographic histories despite strong morphological conservatism in fish species.

Authors:  Tamí Mott; Ricardo J Pereira; Jessika M M Neves; Zachary J Nolen; Nidia N Fabré
Journal:  Heredity (Edinb)       Date:  2021-07-05       Impact factor: 3.821

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.