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Next‐generation conservation genetics and biodiversity monitoring
This special issue of Evolutionary Applications consists of 10 publications investigating the use of next‐generation tools and techniques in population genetic analyses and biodiversity assessment. The special issue stems from a 2016 Next Generation Genetic Monitoring Workshop, hosted by the Nationa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050179/ https://www.ncbi.nlm.nih.gov/pubmed/30026795 http://dx.doi.org/10.1111/eva.12661 |
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author | Hunter, Margaret E. Hoban, Sean M. Bruford, Michael W. Segelbacher, Gernot Bernatchez, Louis |
author_facet | Hunter, Margaret E. Hoban, Sean M. Bruford, Michael W. Segelbacher, Gernot Bernatchez, Louis |
author_sort | Hunter, Margaret E. |
collection | PubMed |
description | This special issue of Evolutionary Applications consists of 10 publications investigating the use of next‐generation tools and techniques in population genetic analyses and biodiversity assessment. The special issue stems from a 2016 Next Generation Genetic Monitoring Workshop, hosted by the National Institute for Mathematical and Biological Synthesis (NIMBioS) in Tennessee, USA. The improved accessibility of next‐generation sequencing platforms has allowed molecular ecologists to rapidly produce large amounts of data. However, with the increased availability of new genomic markers and mathematical techniques, care is needed in selecting appropriate study designs, interpreting results in light of conservation concerns, and determining appropriate management actions. This special issue identifies key attributes of successful genetic data analyses in biodiversity evaluation and suggests ways to improve analyses and their application in current population and conservation genetics research. |
format | Online Article Text |
id | pubmed-6050179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60501792018-07-19 Next‐generation conservation genetics and biodiversity monitoring Hunter, Margaret E. Hoban, Sean M. Bruford, Michael W. Segelbacher, Gernot Bernatchez, Louis Evol Appl Perspective This special issue of Evolutionary Applications consists of 10 publications investigating the use of next‐generation tools and techniques in population genetic analyses and biodiversity assessment. The special issue stems from a 2016 Next Generation Genetic Monitoring Workshop, hosted by the National Institute for Mathematical and Biological Synthesis (NIMBioS) in Tennessee, USA. The improved accessibility of next‐generation sequencing platforms has allowed molecular ecologists to rapidly produce large amounts of data. However, with the increased availability of new genomic markers and mathematical techniques, care is needed in selecting appropriate study designs, interpreting results in light of conservation concerns, and determining appropriate management actions. This special issue identifies key attributes of successful genetic data analyses in biodiversity evaluation and suggests ways to improve analyses and their application in current population and conservation genetics research. John Wiley and Sons Inc. 2018-07-17 /pmc/articles/PMC6050179/ /pubmed/30026795 http://dx.doi.org/10.1111/eva.12661 Text en © 2018 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Perspective Hunter, Margaret E. Hoban, Sean M. Bruford, Michael W. Segelbacher, Gernot Bernatchez, Louis Next‐generation conservation genetics and biodiversity monitoring |
title | Next‐generation conservation genetics and biodiversity monitoring |
title_full | Next‐generation conservation genetics and biodiversity monitoring |
title_fullStr | Next‐generation conservation genetics and biodiversity monitoring |
title_full_unstemmed | Next‐generation conservation genetics and biodiversity monitoring |
title_short | Next‐generation conservation genetics and biodiversity monitoring |
title_sort | next‐generation conservation genetics and biodiversity monitoring |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050179/ https://www.ncbi.nlm.nih.gov/pubmed/30026795 http://dx.doi.org/10.1111/eva.12661 |
work_keys_str_mv | AT huntermargarete nextgenerationconservationgeneticsandbiodiversitymonitoring AT hobanseanm nextgenerationconservationgeneticsandbiodiversitymonitoring AT brufordmichaelw nextgenerationconservationgeneticsandbiodiversitymonitoring AT segelbachergernot nextgenerationconservationgeneticsandbiodiversitymonitoring AT bernatchezlouis nextgenerationconservationgeneticsandbiodiversitymonitoring |