Literature DB >> 27273322

Identifying environmental correlates of intraspecific genetic variation.

K A Harrisson1, J D L Yen2, A Pavlova1, M L Rourke3, D Gilligan4, B A Ingram5, J Lyon6, Z Tonkin6, P Sunnucks1.   

Abstract

Genetic variation is critical to the persistence of populations and their capacity to adapt to environmental change. The distribution of genetic variation across a species' range can reveal critical information that is not necessarily represented in species occurrence or abundance patterns. We identified environmental factors associated with the amount of intraspecific, individual-based genetic variation across the range of a widespread freshwater fish species, the Murray cod Maccullochella peelii. We used two different approaches to statistically quantify the relative importance of predictor variables, allowing for nonlinear relationships: a random forest model and a Bayesian approach. The latter also accounted for population history. Both approaches identified associations between homozygosity by locus and both disturbance to the natural flow regime and mean annual flow. Homozygosity by locus was negatively associated with disturbance to the natural flow regime, suggesting that river reaches with more disturbed flow regimes may support larger, more genetically diverse populations. Our findings are consistent with the hypothesis that artificially induced perennial flows in regulated channels may provide greater and more consistent habitat and reduce the frequency of population bottlenecks that can occur frequently under the highly variable and unpredictable natural flow regime of the system. Although extensive river regulation across eastern Australia has not had an overall positive effect on Murray cod numbers over the past century, regulation may not represent the primary threat to Murray cod survival. Instead, pressures other than flow regulation may be more critical to the persistence of Murray cod (for example, reduced frequency of large floods, overfishing and chemical pollution).

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Year:  2016        PMID: 27273322      PMCID: PMC4981683          DOI: 10.1038/hdy.2016.37

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  24 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

3.  Fitness and adaptation in a novel environment: effect of inbreeding, prior environment, and lineage.

Authors:  David H Reed; Edwin H Lowe; David A Briscoe; Richard Frankham
Journal:  Evolution       Date:  2003-08       Impact factor: 3.694

4.  Forecasting changes in population genetic structure of alpine plants in response to global warming.

Authors:  Flora Jay; Stéphanie Manel; Nadir Alvarez; Eric Y Durand; Wilfried Thuiller; Rolf Holderegger; Pierre Taberlet; Olivier François
Journal:  Mol Ecol       Date:  2012-04-18       Impact factor: 6.185

Review 5.  Spatial modelling and landscape-level approaches for visualizing intra-specific variation.

Authors:  Henri A Thomassen; Zachary A Cheviron; Adam H Freedman; Ryan J Harrigan; Robert K Wayne; Thomas B Smith
Journal:  Mol Ecol       Date:  2010-08-13       Impact factor: 6.185

6.  Genetic conservation: our evolutionary responsibility.

Authors:  O H Frankel
Journal:  Genetics       Date:  1974-09       Impact factor: 4.562

7.  Variable stocking effect and endemic population genetic structure in Murray cod Maccullochella peelii.

Authors:  M L Rourke; H C McPartlan; B A Ingram; A C Taylor
Journal:  J Fish Biol       Date:  2011-06-16       Impact factor: 2.051

Review 8.  Isolation by environment.

Authors:  Ian J Wang; Gideon S Bradburd
Journal:  Mol Ecol       Date:  2014-10-16       Impact factor: 6.185

9.  Ecological genomics meets community-level modelling of biodiversity: mapping the genomic landscape of current and future environmental adaptation.

Authors:  Matthew C Fitzpatrick; Stephen R Keller
Journal:  Ecol Lett       Date:  2014-09-30       Impact factor: 9.492

10.  A Bayesian toolkit for genetic association studies.

Authors:  David J Lunn; John C Whittaker; Nicky Best
Journal:  Genet Epidemiol       Date:  2006-04       Impact factor: 2.135

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  3 in total

1.  De novo genome assembly and annotation of Australia's largest freshwater fish, the Murray cod (Maccullochella peelii), from Illumina and Nanopore sequencing read.

Authors:  Christopher M Austin; Mun Hua Tan; Katherine A Harrisson; Yin Peng Lee; Laurence J Croft; Paul Sunnucks; Alexandra Pavlova; Han Ming Gan
Journal:  Gigascience       Date:  2017-08-01       Impact factor: 6.524

2.  Severe consequences of habitat fragmentation on genetic diversity of an endangered Australian freshwater fish: A call for assisted gene flow.

Authors:  Alexandra Pavlova; Luciano B Beheregaray; Rhys Coleman; Dean Gilligan; Katherine A Harrisson; Brett A Ingram; Joanne Kearns; Annika M Lamb; Mark Lintermans; Jarod Lyon; Thuy T T Nguyen; Minami Sasaki; Zeb Tonkin; Jian D L Yen; Paul Sunnucks
Journal:  Evol Appl       Date:  2017-05-11       Impact factor: 5.183

3.  Combining Bayesian genetic clustering and ecological niche modeling: Insights into wolf intraspecific genetic structure.

Authors:  Pietro Milanesi; Romolo Caniglia; Elena Fabbri; Felice Puopolo; Marco Galaverni; Rolf Holderegger
Journal:  Ecol Evol       Date:  2018-10-30       Impact factor: 2.912

  3 in total

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