Literature DB >> 30913353

Genetic tagging in the Anthropocene: scaling ecology from alleles to ecosystems.

Clayton T Lamb1, Adam T Ford2, Michael F Proctor3, J Andrew Royle4, Garth Mowat5,6, Stan Boutin1.   

Abstract

The Anthropocene is an era of marked human impact on the world. Quantifying these impacts has become central to understanding the dynamics of coupled human-natural systems, resource-dependent livelihoods, and biodiversity conservation. Ecologists are facing growing pressure to quantify the size, distribution, and trajectory of wild populations in a cost-effective and socially acceptable manner. Genetic tagging, combined with modern computational and genetic analyses, is an under-utilized tool to meet this demand, especially for wide-ranging, elusive, sensitive, and low-density species. Genetic tagging studies are now revealing unprecedented insight into the mechanisms that control the density, trajectory, connectivity, and patterns of human-wildlife interaction for populations over vast spatial extents. Here, we outline the application of, and ecological inferences from, new analytical techniques applied to genetically tagged individuals, contrast this approach with conventional methods, and describe how genetic tagging can be better applied to address outstanding questions in ecology. We provide example analyses using a long-term genetic tagging dataset of grizzly bears in the Canadian Rockies. The genetic tagging toolbox is a powerful and overlooked ensemble that ecologists and conservation biologists can leverage to generate evidence and meet the challenges of the Anthropocene.
© 2019 The Authors. Ecological Applications published by Wiley Periodicals, Inc. on behalf of Ecological Society of America.

Entities:  

Keywords:  demography; genomics; habitat loss; minimally invasive; noninvasive; population change; population ecology

Mesh:

Year:  2019        PMID: 30913353     DOI: 10.1002/eap.1876

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  5 in total

1.  Spatial proximity moderates genotype uncertainty in genetic tagging studies.

Authors:  Ben C Augustine; J Andrew Royle; Daniel W Linden; Angela K Fuller
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-13       Impact factor: 11.205

2.  Characterization of 25 new microsatellite markers for the fin whale (Balaenoptera physalus) and cross-species amplification in other cetaceans.

Authors:  Céline Tardy; Serge Planes; Jean-Luc Jung; Denis Ody; Emilie Boissin
Journal:  Mol Biol Rep       Date:  2020-09-06       Impact factor: 2.316

3.  A DNA methylation age predictor for zebrafish.

Authors:  Benjamin Mayne; Darren Korbie; Lisa Kenchington; Ben Ezzy; Oliver Berry; Simon Jarman
Journal:  Aging (Albany NY)       Date:  2020-12-23       Impact factor: 5.682

Review 4.  A review of spatial capture-recapture: Ecological insights, limitations, and prospects.

Authors:  Mahdieh Tourani
Journal:  Ecol Evol       Date:  2021-12-21       Impact factor: 2.912

5.  Cross-amplification of ungulate microsatellite markers in the endemic Indian antelope or blackbuck (Antilope cervicapra) for population monitoring and conservation genetics studies in south Asia.

Authors:  Rahul De; Vinay Kumar; Kumar Ankit; Khursid Alam Khan; Himanshu Kumar; Nirmal Kumar; Bilal Habib; Surendra Prakash Goyal
Journal:  Mol Biol Rep       Date:  2021-07-02       Impact factor: 2.316

  5 in total

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