Genetic and genomic monitoring with minimally invasive sampling methods.

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dc.contributor.author Carroll, Emma en
dc.contributor.author Bruford, Mike W en
dc.contributor.author DeWoody, J Andrew en
dc.contributor.author Leroy, Gregoire en
dc.contributor.author Strand, Alan en
dc.contributor.author Waits, Lisette en
dc.contributor.author Wang, Jinliang en
dc.date.accessioned 2019-03-18T02:20:34Z en
dc.date.issued 2018-08 en
dc.identifier.citation Evolutionary applications 11(7):1094-1119 Aug 2018 en
dc.identifier.issn 1752-4571 en
dc.identifier.uri http://hdl.handle.net/2292/46061 en
dc.description.abstract The 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 data sets 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. en
dc.format.medium Electronic-eCollection en
dc.language eng en
dc.relation.ispartofseries Evolutionary applications en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.title Genetic and genomic monitoring with minimally invasive sampling methods. en
dc.type Journal Article en
dc.identifier.doi 10.1111/eva.12600 en
pubs.issue 7 en
pubs.begin-page 1094 en
pubs.volume 11 en
dc.rights.holder Copyright: The authors en
pubs.end-page 1119 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype research-article en
pubs.subtype Journal Article en
pubs.elements-id 754647 en
pubs.org-id Science en
pubs.org-id Biological Sciences en
dc.identifier.eissn 1752-4571 en
pubs.record-created-at-source-date 2018-07-21 en
pubs.dimensions-id 30026800 en


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