Literature DB >> 31925943

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

Alina von Thaden1,2, Carsten Nowak1,3, Annika Tiesmeyer1,2, Tobias E Reiners1,2, Paulo C Alves4,5,6, Leslie A Lyons7, Federica Mattucci8, Ettore Randi9,10, Margherita Cragnolini11, José Galián12, Zsolt Hegyeli13, Andrew C Kitchener14,15, Clotilde Lambinet16, José M Lucas12, Thomas Mölich17, Luana Ramos4,5, Vinciane Schockert16, Berardino Cocchiararo1,3.   

Abstract

The genomic era has led to an unprecedented increase in the availability of genome-wide data for a broad range of taxa. Wildlife management strives to make use of these vast resources to enable refined genetic assessments that enhance biodiversity conservation. However, as new genomic platforms emerge, problems remain in adapting the usually complex approaches for genotyping of noninvasively collected wildlife samples. Here, we provide practical guidelines for the standardized development of reduced single nucleotide polymorphism (SNP) panels applicable for microfluidic genotyping of degraded DNA samples, such as faeces or hairs. We demonstrate how microfluidic SNP panels can be optimized to efficiently monitor European wildcat (Felis silvestris S.) populations. We show how panels can be set up in a modular fashion to accommodate informative markers for relevant population genetics questions, such as individual identification, hybridization assessment and the detection of population structure. We discuss various aspects regarding the implementation of reduced SNP panels and provide a framework that will allow both molecular ecologists and practitioners to help bridge the gap between genomics and applied wildlife conservation.
© 2020 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Felis silvestriszzm321990; conservation biology; degraded DNA; genetic noninvasive sampling; reduced SNP panel; wildlife genomics

Mesh:

Substances:

Year:  2020        PMID: 31925943      PMCID: PMC7199164          DOI: 10.1111/1755-0998.13136

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


  74 in total

1.  Emerging Technologies to Conserve Biodiversity: Further Opportunities via Genomics. Response to Pimm et al.

Authors:  Helen R Taylor; Neil J Gemmell
Journal:  Trends Ecol Evol       Date:  2016-01-22       Impact factor: 17.712

Review 2.  Genotyping errors: causes, consequences and solutions.

Authors:  François Pompanon; Aurélie Bonin; Eva Bellemain; Pierre Taberlet
Journal:  Nat Rev Genet       Date:  2005-11       Impact factor: 53.242

3.  adegenet: a R package for the multivariate analysis of genetic markers.

Authors:  Thibaut Jombart
Journal:  Bioinformatics       Date:  2008-04-08       Impact factor: 6.937

4.  Application of single nucleotide polymorphisms to non-model species: a technical review.

Authors:  M R Garvin; K Saitoh; A J Gharrett
Journal:  Mol Ecol Resour       Date:  2010-11       Impact factor: 7.090

5.  Assessing statistical power of SNPs for population structure and conservation studies.

Authors:  Phillip A Morin; Karen K Martien; Barbara L Taylor
Journal:  Mol Ecol Resour       Date:  2008-10-21       Impact factor: 7.090

6.  Quantitative polymerase chain reaction analysis of DNA from noninvasive samples for accurate microsatellite genotyping of wild chimpanzees (Pan troglodytes verus).

Authors:  P A Morin; K E Chambers; C Boesch; L Vigilant
Journal:  Mol Ecol       Date:  2001-07       Impact factor: 6.185

7.  Golden Eagle fatalities and the continental-scale consequences of local wind-energy generation.

Authors:  Todd E Katzner; David M Nelson; Melissa A Braham; Jacqueline M Doyle; Nadia B Fernandez; Adam E Duerr; Peter H Bloom; Matthew C Fitzpatrick; Tricia A Miller; Renee C E Culver; Loan Braswell; J Andrew DeWoody
Journal:  Conserv Biol       Date:  2016-09-27       Impact factor: 6.560

8.  Development of SNP markers identifying European wildcats, domestic cats, and their admixed progeny.

Authors:  B Nussberger; M P Greminger; C Grossen; L F Keller; P Wandeler
Journal:  Mol Ecol Resour       Date:  2013-02-11       Impact factor: 7.090

9.  Development of Y chromosome intraspecific polymorphic markers in the Felidae.

Authors:  Shu-Jin Luo; Warren E Johnson; Victor A David; Marilyn Menotti-Raymond; Roscoe Stanyon; Qing Xiu Cai; Thomas Beck; Naoya Yuhki; Jill Pecon-Slattery; James L D Smith; Stephen J O'Brien
Journal:  J Hered       Date:  2007-07-23       Impact factor: 2.645

10.  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

View more
  13 in total

1.  Single trait versus principal component based association analysis for flowering related traits in pigeonpea.

Authors:  Kuldeep Kumar; Priyanka Anjoy; Sarika Sahu; Kumar Durgesh; Antara Das; Kishor U Tribhuvan; Amitha Mithra Sevanthi; Rekha Joshi; Pradeep Kumar Jain; Nagendra Kumar Singh; Atmakuri Ramakrishna Rao; Kishor Gaikwad
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

2.  Contemporary and historical selection in Tasmanian devils (Sarcophilus harrisii) support novel, polygenic response to transmissible cancer.

Authors:  Amanda R Stahlke; Brendan Epstein; Soraia Barbosa; Mark J Margres; Austin H Patton; Sarah A Hendricks; Anne Veillet; Alexandra K Fraik; Barbara Schönfeld; Hamish I McCallum; Rodrigo Hamede; Menna E Jones; Andrew Storfer; Paul A Hohenlohe
Journal:  Proc Biol Sci       Date:  2021-05-26       Impact factor: 5.349

3.  Testing the effectiveness of genetic monitoring using genetic non-invasive sampling.

Authors:  Anthony James Schultz; Kasha Strickland; Romane H Cristescu; Jonathan Hanger; Deidre de Villiers; Céline H Frère
Journal:  Ecol Evol       Date:  2021-12-27       Impact factor: 2.912

Review 4.  Noninvasive Genetic Assessment Is an Effective Wildlife Research Tool When Compared with Other Approaches.

Authors:  Miriam A Zemanova
Journal:  Genes (Basel)       Date:  2021-10-23       Impact factor: 4.096

5.  Mapping of Quantitative Trait Loci Controlling Egg-Quality and -Production Traits in Japanese Quail (Coturnix japonica) Using Restriction-Site Associated DNA Sequencing.

Authors:  Mohammad Ibrahim Haqani; Shigeru Nomura; Michiharu Nakano; Tatsuhiko Goto; Atsushi J Nagano; Atsushi Takenouchi; Yoshiaki Nakamura; Akira Ishikawa; Masaoki Tsudzuki
Journal:  Genes (Basel)       Date:  2021-05-13       Impact factor: 4.096

6.  Genomic basis for drought resistance in European beech forests threatened by climate change.

Authors:  Markus Pfenninger; Friederike Reuss; Angelika Kiebler; Philipp Schönnenbeck; Cosima Caliendo; Susanne Gerber; Berardino Cocchiararo; Sabrina Reuter; Nico Blüthgen; Karsten Mody; Bagdevi Mishra; Miklós Bálint; Marco Thines; Barbara Feldmeyer
Journal:  Elife       Date:  2021-06-16       Impact factor: 8.140

7.  An 85K SNP Array Uncovers Inbreeding and Cryptic Relatedness in an Antarctic Fur Seal Breeding Colony.

Authors:  Emily Humble; Anneke J Paijmans; Jaume Forcada; Joseph I Hoffman
Journal:  G3 (Bethesda)       Date:  2020-08-05       Impact factor: 3.154

Review 8.  Population genomics for wildlife conservation and management.

Authors:  Paul A Hohenlohe; W Chris Funk; Om P Rajora
Journal:  Mol Ecol       Date:  2020-11-18       Impact factor: 6.185

9.  Reliable wolf-dog hybrid detection in Europe using a reduced SNP panel developed for non-invasively collected samples.

Authors:  Violeta Muñoz-Fuentes; Carsten Nowak; Jenni Harmoinen; Alina von Thaden; Jouni Aspi; Laura Kvist; Berardino Cocchiararo; Anne Jarausch; Andrea Gazzola; Teodora Sin; Hannes Lohi; Marjo K Hytönen; Ilpo Kojola; Astrid Vik Stronen; Romolo Caniglia; Federica Mattucci; Marco Galaverni; Raquel Godinho; Aritz Ruiz-González; Ettore Randi
Journal:  BMC Genomics       Date:  2021-06-25       Impact factor: 3.969

10.  Genetic mapping of adult-plant resistance genes to powdery mildew in triticale.

Authors:  Mateusz Dyda; Mirosław Tyrka; Gabriela Gołębiowska; Marcin Rapacz; Maria Wędzony
Journal:  J Appl Genet       Date:  2021-09-24       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.