Literature DB >> 25327780

Comparative riverscape genetics reveals reservoirs of genetic diversity for conservation and restoration of Great Plains fishes.

Megan J Osborne1, Joshuah S Perkin, Keith B Gido, Thomas F Turner.   

Abstract

We used comparative landscape genetics to examine the relative roles of historical events, intrinsic traits and landscape factors in determining the distribution of genetic diversity of river fishes across the North American Great Plains. Spatial patterns of diversity were overlaid on a patch-based graphical model and then compared within and among three species that co-occurred across five Great Plains watersheds. Species differing in reproductive strategy (benthic vs. pelagic-spawning) were hypothesized to have different patterns of genetic diversity, but the overriding factor shaping contemporary patterns of diversity was the signature of past climates and geological history. Allelic diversity was significantly higher at southern latitudes for Cyprinella lutrensis and Hybognathus placitus, consistent with northward expansion from southern Pleistocene refugia. Within the historical context, all species exhibited lowered occupancy and abundance in heavily fragmented and drier upstream reaches, particularly H. placitus; a pelagic-spawning species, suggesting rates of extirpation have outpaced losses of genetic diversity in this species. Within most tributary basins, genetically diverse populations of each species persisted. Hence, reconnecting genetically diverse populations with those characterized by reduced diversity (regardless of their position within the riverine network) would provide populations with greater genetic and demographic resilience. We discuss cases where cross-basin transfer may be appropriate to enhance genetic diversity and mitigate negative effects of climate change. Overall, striking similarities in genetic patterns and in response to fragmentation and dewatering suggest a common strategy for genetic resource management in this unique riverine fish assemblage.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  dendritic landscapes; dispersal constraints; graph theory; habitat fragmentation; landscape genetics; river networks

Mesh:

Year:  2014        PMID: 25327780      PMCID: PMC4246026          DOI: 10.1111/mec.12970

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


  18 in total

1.  Dynamic biogeography and conservation of endangered species.

Authors:  R Channell; M V Lomolino
Journal:  Nature       Date:  2000-01-06       Impact factor: 49.962

2.  Landscape genetic patterns of the rainbow darter Etheostoma caeruleum: a catchment analysis of mitochondrial DNA sequences and nuclear microsatellites.

Authors:  A E Haponski; T L Bollin; M A Jedlicka; C A Stepien
Journal:  J Fish Biol       Date:  2009-12       Impact factor: 2.051

Review 3.  What can genetics tell us about population connectivity?

Authors:  Winsor H Lowe; Fred W Allendorf
Journal:  Mol Ecol       Date:  2010-08       Impact factor: 6.185

4.  Flow regulation and fragmentation imperil pelagic-spawning riverine fishes.

Authors:  Robert K Dudley; Steven P Platania
Journal:  Ecol Appl       Date:  2007-10       Impact factor: 4.657

5.  The theory of a cline.

Authors:  J B S HALDANE
Journal:  J Genet       Date:  1948-01       Impact factor: 1.166

6.  NeEstimator v2: re-implementation of software for the estimation of contemporary effective population size (Ne ) from genetic data.

Authors:  C Do; R S Waples; D Peel; G M Macbeth; B J Tillett; J R Ovenden
Journal:  Mol Ecol Resour       Date:  2013-08-31       Impact factor: 7.090

7.  Phylogeography of the plains killifish, Fundulus zebrinus.

Authors:  B R Kreiser; J B Mitton; J D Woodling
Journal:  Evolution       Date:  2001-02       Impact factor: 3.694

8.  Genes meet geology: fish phylogeographic pattern reflects ancient, rather than modern, drainage connections.

Authors:  J M Waters; D Craw; J H Youngson; G P Wallis
Journal:  Evolution       Date:  2001-09       Impact factor: 3.694

9.  The average lifetime of a population in a varying environment.

Authors:  E G Leigh
Journal:  J Theor Biol       Date:  1981-05-21       Impact factor: 2.691

10.  Arlequin (version 3.0): an integrated software package for population genetics data analysis.

Authors:  Laurent Excoffier; Guillaume Laval; Stefan Schneider
Journal:  Evol Bioinform Online       Date:  2007-02-23       Impact factor: 1.625

View more
  4 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

2.  Biogeography of "Cyprinella lutrensis": intensive genetic sampling from the Pecos River 'melting pot' reveals a dynamic history and phylogenetic complexity.

Authors:  Megan J Osborne; Tracy A Diver; Christopher W Hoagstrom; Thomas F Turner
Journal:  Biol J Linn Soc Lond       Date:  2015-09-26       Impact factor: 2.138

3.  Broad-scale sampling of primary freshwater fish populations reveals the role of intrinsic traits, inter-basin connectivity, drainage area and latitude on shaping contemporary patterns of genetic diversity.

Authors:  Carla Sousa-Santos; Joana I Robalo; Ana M Pereira; Paulo Branco; José Maria Santos; Maria Teresa Ferreira; Mónica Sousa; Ignacio Doadrio
Journal:  PeerJ       Date:  2016-02-29       Impact factor: 2.984

4.  Genetic Pattern and Demographic History of Salminus brasiliensis: Population Expansion in the Pantanal Region during the Pleistocene.

Authors:  Lívia A de Carvalho Mondin; Carolina B Machado; Emiko K de Resende; Debora K S Marques; Pedro M Galetti
Journal:  Front Genet       Date:  2018-01-17       Impact factor: 4.599

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.