Literature DB >> 27575282

Riverscape genomics of a threatened fish across a hydroclimatically heterogeneous river basin.

Chris J Brauer1, Michael P Hammer2, Luciano B Beheregaray3.   

Abstract

Understanding how natural selection generates and maintains adaptive genetic diversity in heterogeneous environments is key to predicting the evolutionary response of populations to rapid environmental change. Detecting selection in complex spatial environments remains challenging, especially for threatened species where the effects of strong genetic drift may overwhelm signatures of selection. We carried out a basinwide riverscape genomic analysis in the threatened southern pygmy perch (Nannoperca australis), an ecological specialist with low dispersal potential. High-resolution environmental data and 5162 high-quality filtered SNPs were used to clarify spatial population structure and to assess footprints of selection associated with a steep hydroclimatic gradient and with human disturbance across the naturally and anthropogenically fragmented Murray-Darling Basin (Australia). Our approach included FST outlier tests to define neutral loci, and a combination of spatially explicit genotype-environment association analyses to identify candidate adaptive loci while controlling for the effects of landscape structure and shared population history. We found low levels of genetic diversity and strong neutral population structure consistent with expectations based on spatial stream hierarchy and life history. In contrast, variables related to precipitation and temperature appeared as the most important environmental surrogates for putatively adaptive genetic variation at both regional and local scales. Human disturbance also influenced the variation in candidate loci for adaptation, but only at a local scale. Our study contributes to understanding of adaptive evolution along naturally and anthropogenically fragmented ecosystems. It also offers a tangible example of the potential contributions of landscape genomics for informing in situ and ex situ conservation management of biodiversity.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Nannoperca australiszzm321990; Australia; Murray-Darling Basin; climate change; conservation genetics; ddRAD-seq; landscape genomics

Mesh:

Year:  2016        PMID: 27575282     DOI: 10.1111/mec.13830

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


  19 in total

1.  Landscape genetics informs mesohabitat preference and conservation priorities for a surrogate indicator species in a highly fragmented river system.

Authors:  J Lean; M P Hammer; P J Unmack; M Adams; L B Beheregaray
Journal:  Heredity (Edinb)       Date:  2016-11-23       Impact factor: 3.821

Review 2.  Ten Years of Landscape Genomics: Challenges and Opportunities.

Authors:  Yong Li; Xue-Xia Zhang; Run-Li Mao; Jie Yang; Cai-Yun Miao; Zhuo Li; Ying-Xiong Qiu
Journal:  Front Plant Sci       Date:  2017-12-12       Impact factor: 5.753

3.  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

4.  Cunningham's skinks show low genetic connectivity and signatures of divergent selection across its distribution.

Authors:  Benjamin Y Ofori; Linda J Beaumont; Adam J Stow
Journal:  Ecol Evol       Date:  2016-11-29       Impact factor: 2.912

5.  Mitochondrial DNA is unsuitable to test for isolation by distance.

Authors:  Peter R Teske; Tirupathi Rao Golla; Jonathan Sandoval-Castillo; Arsalan Emami-Khoyi; Carl D van der Lingen; Sophie von der Heyden; Brent Chiazzari; Bettine Jansen van Vuuren; Luciano B Beheregaray
Journal:  Sci Rep       Date:  2018-05-31       Impact factor: 4.379

6.  Genetic Characterization of the Fish Piaractus brachypomus by Microsatellites Derived from Transcriptome Sequencing.

Authors:  Paulo H Jorge; Vito A Mastrochirico-Filho; Milene E Hata; Natália J Mendes; Raquel B Ariede; Milena Vieira de Freitas; Manuel Vera; Fábio Porto-Foresti; Diogo T Hashimoto
Journal:  Front Genet       Date:  2018-02-22       Impact factor: 4.599

7.  Theory, practice, and conservation in the age of genomics: The Galápagos giant tortoise as a case study.

Authors:  Stephen J Gaughran; Maud C Quinzin; Joshua M Miller; Ryan C Garrick; Danielle L Edwards; Michael A Russello; Nikos Poulakakis; Claudio Ciofi; Luciano B Beheregaray; Adalgisa Caccone
Journal:  Evol Appl       Date:  2017-10-23       Impact factor: 5.183

8.  Riverscape genetics in brook lamprey: genetic diversity is less influenced by river fragmentation than by gene flow with the anadromous ecotype.

Authors:  Quentin Rougemont; Victoria Dolo; Adrien Oger; Anne-Laure Besnard; Dominique Huteau; Marie-Agnès Coutellec; Charles Perrier; Sophie Launey; Guillaume Evanno
Journal:  Heredity (Edinb)       Date:  2020-09-28       Impact factor: 3.821

9.  Environmental gradients of selection for an alpine-obligate bird, the white-tailed ptarmigan (Lagopus leucura).

Authors:  Shawna J Zimmerman; Cameron L Aldridge; Kathryn M Langin; Gregory T Wann; R Scott Cornman; Sara J Oyler-McCance
Journal:  Heredity (Edinb)       Date:  2020-08-17       Impact factor: 3.821

10.  From conservation genetics to conservation genomics: a genome-wide assessment of blue whales (Balaenoptera musculus) in Australian feeding aggregations.

Authors:  Catherine R M Attard; Luciano B Beheregaray; Jonathan Sandoval-Castillo; K Curt S Jenner; Peter C Gill; Micheline-Nicole M Jenner; Margaret G Morrice; Luciana M Möller
Journal:  R Soc Open Sci       Date:  2018-01-31       Impact factor: 2.963

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