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Applications of next generation sequencing in molecular ecology of non-model organisms
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Population and Conservation Biology.
2011 (English)In: Heredity, ISSN 0018-067X, E-ISSN 1365-2540, Vol. 107, no 1, 1-15 p.Article, review/survey (Refereed) Published
Abstract [en]

As most biologists are probably aware, technological advances in molecular biology during the last few years have opened up possibilities to rapidly generate large-scale sequencing data from non-model organisms at a reasonable cost. In an era when virtually any study organism can 'go genomic', it is worthwhile to review how this may impact molecular ecology. The first studies to put the next generation sequencing (NGS) to the test in ecologically well-characterized species without previous genome information were published in 2007 and the beginning of 2008. Since then several studies have followed in their footsteps, and a large number are undoubtedly under way. This review focuses on how NGS has been, and can be, applied to ecological, population genetic and conservation genetic studies of non-model species, in which there is no (or very limited) genomic resources. Our aim is to draw attention to the various possibilities that are opening up using the new technologies, but we also highlight some of the pitfalls and drawbacks with these methods. We will try to provide a snapshot of the current state of the art for this rapidly advancing and expanding field of research and give some likely directions for future developments.

Place, publisher, year, edition, pages
2011. Vol. 107, no 1, 1-15 p.
Keyword [en]
ecological genomics, 454 sequencing, NGS, digital transcriptomics, SNP
National Category
Natural Sciences
URN: urn:nbn:se:uu:diva-155692DOI: 10.1038/hdy.2010.152ISI: 000291635500001OAI: oai:DiVA.org:uu-155692DiVA: diva2:427691
Available from: 2011-06-28 Created: 2011-06-28 Last updated: 2013-09-23Bibliographically approved

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Ekblom, Robert
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Population and Conservation Biology
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