Literature DB >> 16101766

Using naturally shed feathers for individual identification, genetic parentage analyses, and population monitoring in an endangered Eastern imperial eagle (Aquila heliaca) population from Kazakhstan.

Jamie A Rudnick1, Todd E Katzner, Evgeny A Bragin, O Eugene Rhodes, J Andrew DeWoody.   

Abstract

Genetic analyses on noninvasively collected samples have revolutionized how populations are monitored. Most noninvasive monitoring studies have used hair or scat for individual identification of elusive mammals, but here we utilize naturally shed feathers. The Eastern imperial eagle (EIE) is a species of conservation concern throughout Central Asia and, like most raptors, EIEs are inherently challenging to study because adults are difficult to capture and band using conventional techniques. Over 6 years, we noninvasively collected hundreds of adult feathers and directly sampled EIE chicks at a national nature reserve in Kazakhstan. All samples were genetically sexed and genotyped at a suite of microsatellite loci. Genetically profiled adult feathers identified and monitored the presence of individual eagles over time, enabling us to address a variety of issues related to the biology, demography, and conservation of EIEs. Specifically, we characterized (i) the genetic mating system, (ii) relatedness among mated pairs, (iii) chick sex ratios, and (iv) annual turnover in an adult breeding population. We show that EIEs are genetically monogamous and furthermore, there is no apparent relatedness-based system of mate choice (e.g. inbreeding avoidance). Results indicate that annual adult EIE survivorship (84%) is lower than expected for a long-lived raptor, but initial analyses suggest the current reproductive rate at our study site is sufficient to maintain a stable breeding population. The pristine habitat at our study site supports an EIE population that is probably the most demographically robust in the world; thus, our results caution that populations in marginal habitats may not be self-sustaining.

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Year:  2005        PMID: 16101766     DOI: 10.1111/j.1365-294X.2005.02641.x

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


  12 in total

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2.  SPATIAL DEMOGRAPHIC MODELS TO INFORM CONSERVATION PLANNING OF GOLDEN EAGLES IN RENEWABLE ENERGY LANDSCAPES.

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3.  Reconstructing genetic mating systems in the absence of parental information in colonially breeding waterbirds.

Authors:  Carolina I Miño; Michael A Russello; Priscila F Mussi Gonçalves; Silvia N Del Lama
Journal:  BMC Evol Biol       Date:  2011-07-08       Impact factor: 3.260

4.  Win-stay, lose-switch and public information strategies for patch fidelity of songbirds with rare extra-pair paternity.

Authors:  Andrew J Campomizzi; Michael L Morrison; J Andrew Dewoody; Shannon L Farrell; R Neal Wilkins
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5.  The genome sequence of a widespread apex predator, the golden eagle (Aquila chrysaetos).

Authors:  Jacqueline M Doyle; Todd E Katzner; Peter H Bloom; Yanzhu Ji; Bhagya K Wijayawardena; J Andrew DeWoody
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

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Authors:  María Morán-Luis; Alberto Fameli; Beatriz Blanco-Fontao; Alberto Fernández-Gil; Rolando Rodríguez-Muñoz; Mario Quevedo; Patricia Mirol; María-José Bañuelos
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7.  Long-term genetic monitoring of a riverine dragonfly, Orthetrum coerulescens (Odonata: Libellulidae]: Direct anthropogenic impact versus climate change effects.

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Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

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Authors:  Joel F Swift; Richard F Lance; Xin Guan; Eric R Britzke; Denise L Lindsay; Christine E Edwards
Journal:  Evol Appl       Date:  2018-05-31       Impact factor: 5.183

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Authors:  Hope M Draheim; Jennifer A Moore; Marie-Josée Fortin; Kim T Scribner
Journal:  Evol Appl       Date:  2018-03-25       Impact factor: 5.183

10.  New insights into the phylogenetics and population structure of the prairie falcon (Falco mexicanus).

Authors:  Jacqueline M Doyle; Douglas A Bell; Peter H Bloom; Gavin Emmons; Amy Fesnock; Todd E Katzner; Larry LaPré; Kolbe Leonard; Phillip SanMiguel; Rick Westerman; J Andrew DeWoody
Journal:  BMC Genomics       Date:  2018-04-04       Impact factor: 4.547

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