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dc.contributor.authorCarroll, Emma L.
dc.contributor.authorBruford, Michael
dc.contributor.authorDeWoody, J. A.
dc.contributor.authorLeroy, G
dc.contributor.authorStrand, A
dc.contributor.authorWaits, L
dc.contributor.authorWang, J
dc.date.accessioned2018-03-27T11:30:06Z
dc.date.available2018-03-27T11:30:06Z
dc.date.issued2018-08
dc.identifier251887195
dc.identifierfaab9da3-7c42-4704-a423-c57ad8e08d28
dc.identifier85044222012
dc.identifier000439505200006
dc.identifier.citationCarroll , E L , Bruford , M , DeWoody , J A , Leroy , G , Strand , A , Waits , L & Wang , J 2018 , ' Genetic and genomic monitoring with minimally invasive sampling methods ' , Evolutionary Applications , vol. 11 , no. 7 , pp. 1094-1119 . https://doi.org/10.1111/eva.12600en
dc.identifier.issn1752-4571
dc.identifier.urihttps://hdl.handle.net/10023/13027
dc.descriptionFunding: Marie Slodowska Curie Fellowship, (Behaviour-Connect) funded by the EU Horizon2020 program (ELC).en
dc.description.abstractThe decreasing cost and increasing scope and power of emerging genomic technologies are reshaping the field of molecular ecology. However, many modern genomic approaches (e.g., RAD-seq) require large amounts of high quality template DNA. This poses a problem for an active branch of conservation biology: genetic monitoring using minimally invasive sampling (MIS) methods. Without handling or even observing an animal, MIS methods (e.g. collection of hair, skin, faeces) can provide genetic information on individuals or populations. Such samples typically yield low quality and/or quantities of DNA, restricting the type of molecular methods that can be used. Despite this limitation, genetic monitoring using MIS is an effective tool for estimating population demographic parameters and monitoring genetic diversity in natural populations. Genetic monitoring is likely to become more important in the future as many natural populations are undergoing anthropogenically-driven declines, which are unlikely to abate without intensive adaptive management efforts that often include MIS approaches. Here we profile the expanding suite of genomic methods and platforms compatible with producing genotypes from MIS, considering factors such as development costs and error rates. We evaluate how powerful new approaches will enhance our ability to investigate questions typically answered using genetic monitoring, such as estimating abundance, genetic structure and relatedness. As the field is in a period of unusually rapid transition, we also highlight the importance of legacy datasets and recommend how to address the challenges of moving between traditional and next generation genetic monitoring platforms. Finally, we consider how genetic monitoring could move beyond genotypes in the future. For example, assessing microbiomes or epigenetic markers could provide a greater understanding of the relationship between individuals and their environment.
dc.format.extent26
dc.format.extent1325636
dc.language.isoeng
dc.relation.ispartofEvolutionary Applicationsen
dc.subjectWildlife managementen
dc.subjectWildlife forensicsen
dc.subjectPopulation demographyen
dc.subjectConservation geneticsen
dc.subjectDNA fingerprintingen
dc.subjectIndividual identificationen
dc.subjectNon-invasive genetic samplingen
dc.subjectNext-gen genetic monitoring with MISen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQH301 Biologyen
dc.subjectQH426 Geneticsen
dc.subject.lccQA75en
dc.subject.lccQH301en
dc.subject.lccQH426en
dc.titleGenetic and genomic monitoring with minimally invasive sampling methodsen
dc.typeJournal itemen
dc.contributor.sponsorEuropean Commissionen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.identifier.doi10.1111/eva.12600
dc.description.statusPeer revieweden
dc.date.embargoedUntil2018-03-24
dc.identifier.grantnumber656774en


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