Literature DB >> 26497007

Genetic diversity loss in a biodiversity hotspot: ancient DNA quantifies genetic decline and former connectivity in a critically endangered marsupial.

Carlo Pacioni1, Helen Hunt1, Morten E Allentoft1,2, Timothy G Vaughan3, Adrian F Wayne4, Alexander Baynes5, Dalal Haouchar1, Joe Dortch6, Michael Bunce1,7.   

Abstract

The extent of genetic diversity loss and former connectivity between fragmented populations are often unknown factors when studying endangered species. While genetic techniques are commonly applied in extant populations to assess temporal and spatial demographic changes, it is no substitute for directly measuring past diversity using ancient DNA (aDNA). We analysed both mitochondrial DNA (mtDNA) and nuclear microsatellite loci from 64 historical fossil and skin samples of the critically endangered Western Australian woylie (Bettongia penicillata ogilbyi), and compared them with 231 (n = 152 for mtDNA) modern samples. In modern woylie populations 15 mitochondrial control region (CR) haplotypes were identified. Interestingly, mtDNA CR data from only 29 historical samples demonstrated 15 previously unknown haplotypes and detected an extinct divergent clade. Through modelling, we estimated the loss of CR mtDNA diversity to be between 46% and 91% and estimated this to have occurred in the past 2000-4000 years in association with a dramatic population decline. In addition, we obtained near-complete 11-loci microsatellite profiles from 21 historical samples. In agreement with the mtDNA data, a number of 'new' microsatellite alleles was only detected in the historical populations despite extensive modern sampling, indicating a nuclear genetic diversity loss >20%. Calculations of genetic diversity (heterozygosity and allelic rarefaction) showed that these were significantly higher in the past and that there was a high degree of gene flow across the woylie's historical range. These findings have an immediate impact on how the extant populations are managed and we recommend the implementation of an assisted migration programme to prevent further loss of genetic diversity. Our study demonstrates the value of integrating aDNA data into current-day conservation strategies.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  Bettongia; ancient DNA; biodiversity loss; genetic diversity; population bottleneck

Mesh:

Substances:

Year:  2015        PMID: 26497007     DOI: 10.1111/mec.13430

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


  5 in total

1.  Evolutionary history and genetic connectivity across highly fragmented populations of an endangered daisy.

Authors:  Yael S Rodger; Alexandra Pavlova; Steve Sinclair; Melinda Pickup; Paul Sunnucks
Journal:  Heredity (Edinb)       Date:  2021-02-19       Impact factor: 3.821

2.  Spatial and temporal genetic dynamics of the grasshopper Oedaleus decorus revealed by museum genomics.

Authors:  Sarah Schmid; Samuel Neuenschwander; Camille Pitteloud; Gerald Heckel; Mila Pajkovic; Raphaël Arlettaz; Nadir Alvarez
Journal:  Ecol Evol       Date:  2017-12-29       Impact factor: 2.912

3.  Augmenting the conservation value of rehabilitated wildlife by integrating genetics and population modeling in the post-rehabilitation decision process.

Authors:  Carlo Pacioni; Chris Rafferty; Kelly Morley; Sarah Stevenson; Andrew Chapman; Michael Wickins; Terry Verney; Gerry Deegan; Sabrina Trocini; Peter B S Spencer
Journal:  Curr Zool       Date:  2017-11-08       Impact factor: 2.624

Review 4.  The Small and the Dead: A Review of Ancient DNA Studies Analysing Micromammal Species.

Authors:  Roseina Woods; Melissa M Marr; Selina Brace; Ian Barnes
Journal:  Genes (Basel)       Date:  2017-11-08       Impact factor: 4.096

5.  Phylogeographic and genome-wide investigations of Vietnam ethnic groups reveal signatures of complex historical demographic movements.

Authors:  S Pischedda; R Barral-Arca; A Gómez-Carballa; J Pardo-Seco; M L Catelli; V Álvarez-Iglesias; J M Cárdenas; N D Nguyen; H H Ha; A T Le; F Martinón-Torres; C Vullo; A Salas
Journal:  Sci Rep       Date:  2017-10-03       Impact factor: 4.379

  5 in total

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