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Guidelines for collecting and maintaining archives for genetic monitoring
Stockholm University, Faculty of Science, Department of Zoology, Population Genetics.ORCID iD: 0000-0001-9286-3361
2012 (English)In: Conservation Genetics Resources, ISSN 1877-7252, E-ISSN 1877-7260, Vol. 4, no 2, 527-536 p.Article in journal (Refereed) Published
Abstract [en]

Rapid advances in molecular genetic techniques and the statistical analysis of genetic data have revolutionized the way that populations of animals, plants and microorganisms can be monitored. Genetic monitoring is the practice of using molecular genetic markers to track changes in the abundance, diversity or distribution of populations, species or ecosystems over time, and to follow adaptive and non-adaptive genetic responses to changing external conditions. In recent years, genetic monitoring has become a valuable tool in conservation management of biological diversity and ecological analysis, helping to illuminate and define cryptic and poorly understood species and populations. Many of the detected biodiversity declines, changes in distribution and hybridization events have helped to drive changes in policy and management. Because a time series of samples is necessary to detect trends of change in genetic diversity and species composition, archiving is a critical component of genetic monitoring. Here we discuss the collection, development, maintenance, and use of archives for genetic monitoring. This includes an overview of the genetic markers that facilitate effective monitoring, describes how tissue and DNA can be stored, and provides guidelines for proper practice.

Place, publisher, year, edition, pages
2012. Vol. 4, no 2, 527-536 p.
Keyword [en]
Conservation, Museum DNA, Biodiversity, Molecular markers, Biological collections
National Category
Biological Sciences
Research subject
Population Genetics
Identifiers
URN: urn:nbn:se:su:diva-66087DOI: 10.1007/s12686-011-9545-xISI: 000303536400077OAI: oai:DiVA.org:su-66087DiVA: diva2:466921
Note

The Genetic Monitoring Working Group

Available from: 2011-12-17 Created: 2011-12-17 Last updated: 2017-12-08Bibliographically approved

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