Literature DB >> 25042673

A single-nucleotide polymorphism-based approach for rapid and cost-effective genetic wolf monitoring in Europe based on noninvasively collected samples.

Robert H S Kraus1, Bridgett vonHoldt, Berardino Cocchiararo, Verena Harms, Helmut Bayerl, Ralph Kühn, Daniel W Förster, Jörns Fickel, Christian Roos, Carsten Nowak.   

Abstract

Noninvasive genetics based on microsatellite markers has become an indispensable tool for wildlife monitoring and conservation research over the past decades. However, microsatellites have several drawbacks, such as the lack of standardisation between laboratories and high error rates. Here, we propose an alternative single-nucleotide polymorphism (SNP)-based marker system for noninvasively collected samples, which promises to solve these problems. Using nanofluidic SNP genotyping technology (Fluidigm), we genotyped 158 wolf samples (tissue, scats, hairs, urine) for 192 SNP loci selected from the Affymetrix v2 Canine SNP Array. We carefully selected an optimised final set of 96 SNPs (and discarded the worse half), based on assay performance and reliability. We found rates of missing data in this SNP set of <10% and genotyping error of ~1%, which improves genotyping accuracy by nearly an order of magnitude when compared to published data for other marker types. Our approach provides a tool for rapid and cost-effective genotyping of noninvasively collected wildlife samples. The ability to standardise genotype scoring combined with low error rates promises to constitute a major technological advancement and could establish SNPs as a standard marker for future wildlife monitoring.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  Canis lupus; conservation; genetic monitoring; scat sampling; single-nucleotide polymorphism; single-nucleotide polymorphism chip; wildlife management

Mesh:

Year:  2014        PMID: 25042673     DOI: 10.1111/1755-0998.12307

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  18 in total

1.  Applying genomic data in wildlife monitoring: Development guidelines for genotyping degraded samples with reduced single nucleotide polymorphism panels.

Authors:  Alina von Thaden; Carsten Nowak; Annika Tiesmeyer; Tobias E Reiners; Paulo C Alves; Leslie A Lyons; Federica Mattucci; Ettore Randi; Margherita Cragnolini; José Galián; Zsolt Hegyeli; Andrew C Kitchener; Clotilde Lambinet; José M Lucas; Thomas Mölich; Luana Ramos; Vinciane Schockert; Berardino Cocchiararo
Journal:  Mol Ecol Resour       Date:  2020-01-30       Impact factor: 7.090

2.  A bioinformatic pipeline for identifying informative SNP panels for parentage assignment from RADseq data.

Authors:  Kimberly R Andrews; Jennifer R Adams; E Frances Cassirer; Raina K Plowright; Colby Gardner; Maggie Dwire; Paul A Hohenlohe; Lisette P Waits
Journal:  Mol Ecol Resour       Date:  2018-07-09       Impact factor: 7.090

3.  Empowering conservation practice with efficient and economical genotyping from poor quality samples.

Authors:  Meghana Natesh; Ryan W Taylor; Nathan K Truelove; Elizabeth A Hadly; Stephen R Palumbi; Dmitri A Petrov; Uma Ramakrishnan
Journal:  Methods Ecol Evol       Date:  2019-04-10       Impact factor: 7.781

4.  Population-level consequences of complementary sex determination in a solitary parasitoid.

Authors:  Jetske G de Boer; Martien A M Groenen; Bart A Pannebakker; Leo W Beukeboom; Robert H S Kraus
Journal:  BMC Evol Biol       Date:  2015-05-30       Impact factor: 3.260

Review 5.  Strategies for determining kinship in wild populations using genetic data.

Authors:  Veronika Städele; Linda Vigilant
Journal:  Ecol Evol       Date:  2016-07-29       Impact factor: 2.912

6.  Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population.

Authors:  Hanna Granroth-Wilding; Craig Primmer; Meri Lindqvist; Jenni Poutanen; Olaf Thalmann; Jouni Aspi; Jenni Harmoinen; Ilpo Kojola; Toni Laaksonen
Journal:  BMC Ecol       Date:  2017-12-19       Impact factor: 2.964

7.  Novel efficient genome-wide SNP panels for the conservation of the highly endangered Iberian lynx.

Authors:  Daniel Kleinman-Ruiz; Begoña Martínez-Cruz; Laura Soriano; Maria Lucena-Perez; Fernando Cruz; Beatriz Villanueva; Jesús Fernández; José A Godoy
Journal:  BMC Genomics       Date:  2017-07-21       Impact factor: 3.969

8.  Assessing SNP genotyping of noninvasively collected wildlife samples using microfluidic arrays.

Authors:  Alina von Thaden; Berardino Cocchiararo; Anne Jarausch; Hannah Jüngling; Alexandros A Karamanlidis; Annika Tiesmeyer; Carsten Nowak; Violeta Muñoz-Fuentes
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

9.  Conservation priorities for endangered Indian tigers through a genomic lens.

Authors:  Meghana Natesh; Goutham Atla; Parag Nigam; Yadvendradev V Jhala; Arun Zachariah; Udayan Borthakur; Uma Ramakrishnan
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

10.  Fresh is best: Accurate SNP genotyping from koala scats.

Authors:  Anthony J Schultz; Romane H Cristescu; Bethan L Littleford-Colquhoun; Damian Jaccoud; Céline H Frère
Journal:  Ecol Evol       Date:  2018-02-18       Impact factor: 2.912

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