Conservation genomics of natural and managed populations: building a conceptual and practical framework

The boom of massive parallel sequencing (MPS) technology and its applications in conservation of natural and managed populations brings new opportunities and challenges to meet the scientific questions that can be addressed. Genomic conservation offers a wide range of approaches and analytical techn...

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Bibliographic Details
Published in:Molecular ecology 2016-07, Vol.25 (13), p.2967-2977
Main Authors: Benestan, Laura Marilyn, Anne‐Laure Ferchaud, Paul A. Hohenlohe, Brittany A. Garner, Gavin J. P. Naylor, Iliana Brigitta Baums, Michael K. Schwartz, Joanna L. Kelley, Gordon Luikart
Format: Article
Language:English
Subjects:
analytical methods
Bioinformatics
Biological Evolution
Congresses as Topic
Conservation biology
conservation genomics
Conservation of Natural Resources
effective population size
Evolution & development
genetic population structure
Genetics, Population - methods
Genomics
Genomics - methods
High-Throughput Nucleotide Sequencing
local adaptation
massively parallel sequencing
Montana
Research Design
Sequence Analysis, DNA
SNPs discovery and filtering
teachers
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Summary:The boom of massive parallel sequencing (MPS) technology and its applications in conservation of natural and managed populations brings new opportunities and challenges to meet the scientific questions that can be addressed. Genomic conservation offers a wide range of approaches and analytical techniques, with their respective strengths and weaknesses that rely on several implicit assumptions. However, finding the most suitable approaches and analysis regarding our scientific question are often difficult and time‐consuming. To address this gap, a recent workshop entitled ‘ConGen 2015’ was held at Montana University in order to bring together the knowledge accumulated in this field and to provide training in conceptual and practical aspects of data analysis applied to the field of conservation and evolutionary genomics. Here, we summarize the expertise yield by each instructor that has led us to consider the importance of keeping in mind the scientific question from sampling to management practices along with the selection of appropriate genomics tools and bioinformatics challenges.
ISSN:0962-1083
1365-294X
DOI:10.1111/mec.13647