Literature DB >> 33603090

Conservation priorities in an endangered estuarine seahorse are informed by demographic history.

Thomas Kalama Mkare1,2, Bettine Jansen van Vuuren3, Peter R Teske3.   

Abstract

Historical demographic events shape genetic diversity that remains evident in the genomes of contemporary populations. In the case of species that are of conservation concern, this information helps to unravel evolutionary histories that can be critical in guiding conservation efforts. The Knysna seahorse, Hippocampus capensis, is the world's most endangered seahorse species, and it presently survives in only three estuaries on the South African south coast. Factors that contributed to the species becoming endangered are unclear; additionally, the lack of information on whether the three populations should be managed separately because of potential long-term isolation hampers effective management efforts. In the present study, we reconstructed the seahorses' demographic history using a suite of microsatellite loci. We found that the largest population (Knysna Estuary) has colonised the other estuaries relatively recently (< 450 years ago), and that its population size is comparatively large and stable. Neither of the other two populations shows signs of long-term reductions in population size. The high conservation status of the species is thus a result of its limited range rather than historical population declines. Our findings indicate that the long-term survival of H. capensis depends primarily on the successful management of the Knysna population, although the other estuaries may serve as reservoirs of genetic diversity.

Entities:  

Mesh:

Year:  2021        PMID: 33603090      PMCID: PMC7892823          DOI: 10.1038/s41598-021-83754-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

1.  Distinguishing migration from isolation: a Markov chain Monte Carlo approach.

Authors:  R Nielsen; J Wakeley
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

2.  PGDSpider: an automated data conversion tool for connecting population genetics and genomics programs.

Authors:  H E L Lischer; L Excoffier
Journal:  Bioinformatics       Date:  2011-11-21       Impact factor: 6.937

Review 3.  Genetic rescue to the rescue.

Authors:  Andrew R Whiteley; Sarah W Fitzpatrick; W Chris Funk; David A Tallmon
Journal:  Trends Ecol Evol       Date:  2014-11-27       Impact factor: 17.712

4.  Mutation rate and pattern of microsatellites in common carp (Cyprinus carpio L.).

Authors:  G H Yue; L David; L Orban
Journal:  Genetica       Date:  2006-08-01       Impact factor: 1.082

5.  Comparative population genomics in animals uncovers the determinants of genetic diversity.

Authors:  J Romiguier; P Gayral; M Ballenghien; A Bernard; V Cahais; A Chenuil; Y Chiari; R Dernat; L Duret; N Faivre; E Loire; J M Lourenco; B Nabholz; C Roux; G Tsagkogeorga; A A-T Weber; L A Weinert; K Belkhir; N Bierne; S Glémin; N Galtier
Journal:  Nature       Date:  2014-08-20       Impact factor: 49.962

Review 6.  Determinants of genetic diversity.

Authors:  Hans Ellegren; Nicolas Galtier
Journal:  Nat Rev Genet       Date:  2016-06-06       Impact factor: 53.242

7.  Protecting Free-Living Dormice: Molecular Identification of Cestode Parasites in Captive Dormice (Muscardinus avellanarius) Destined for Reintroduction.

Authors:  Gabriela Peniche; Peter D Olson; Dominic J Bennett; Louise Wong; Anthony W Sainsbury; Christopher Durrant
Journal:  Ecohealth       Date:  2016-03-08       Impact factor: 3.184

8.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

9.  Bayesian inference of population size history from multiple loci.

Authors:  Joseph Heled; Alexei J Drummond
Journal:  BMC Evol Biol       Date:  2008-10-23       Impact factor: 3.260

10.  Revisiting an old riddle: what determines genetic diversity levels within species?

Authors:  Ellen M Leffler; Kevin Bullaughey; Daniel R Matute; Wynn K Meyer; Laure Ségurel; Aarti Venkat; Peter Andolfatto; Molly Przeworski
Journal:  PLoS Biol       Date:  2012-09-11       Impact factor: 8.029

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