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Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing

Recent advancements in animal tracking technology and high-throughput sequencing are rapidly changing the questions and scope of research in the biological sciences. The integration of genomic data with high-tech animal instrumentation comes as a natural progression of traditional work in ecological...

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Detalles Bibliográficos
Autores principales: Shafer, Aaron B. A., Northrup, Joseph M., Wikelski, Martin, Wittemyer, George, Wolf, Jochen B. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712824/
https://www.ncbi.nlm.nih.gov/pubmed/26745372
http://dx.doi.org/10.1371/journal.pbio.1002350
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author Shafer, Aaron B. A.
Northrup, Joseph M.
Wikelski, Martin
Wittemyer, George
Wolf, Jochen B. W.
author_facet Shafer, Aaron B. A.
Northrup, Joseph M.
Wikelski, Martin
Wittemyer, George
Wolf, Jochen B. W.
author_sort Shafer, Aaron B. A.
collection PubMed
description Recent advancements in animal tracking technology and high-throughput sequencing are rapidly changing the questions and scope of research in the biological sciences. The integration of genomic data with high-tech animal instrumentation comes as a natural progression of traditional work in ecological genetics, and we provide a framework for linking the separate data streams from these technologies. Such a merger will elucidate the genetic basis of adaptive behaviors like migration and hibernation and advance our understanding of fundamental ecological and evolutionary processes such as pathogen transmission, population responses to environmental change, and communication in natural populations.
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spelling pubmed-47128242016-01-26 Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing Shafer, Aaron B. A. Northrup, Joseph M. Wikelski, Martin Wittemyer, George Wolf, Jochen B. W. PLoS Biol Essay Recent advancements in animal tracking technology and high-throughput sequencing are rapidly changing the questions and scope of research in the biological sciences. The integration of genomic data with high-tech animal instrumentation comes as a natural progression of traditional work in ecological genetics, and we provide a framework for linking the separate data streams from these technologies. Such a merger will elucidate the genetic basis of adaptive behaviors like migration and hibernation and advance our understanding of fundamental ecological and evolutionary processes such as pathogen transmission, population responses to environmental change, and communication in natural populations. Public Library of Science 2016-01-08 /pmc/articles/PMC4712824/ /pubmed/26745372 http://dx.doi.org/10.1371/journal.pbio.1002350 Text en © 2016 Shafer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
spellingShingle Essay
Shafer, Aaron B. A.
Northrup, Joseph M.
Wikelski, Martin
Wittemyer, George
Wolf, Jochen B. W.
Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing
title Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing
title_full Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing
title_fullStr Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing
title_full_unstemmed Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing
title_short Forecasting Ecological Genomics: High-Tech Animal Instrumentation Meets High-Throughput Sequencing
title_sort forecasting ecological genomics: high-tech animal instrumentation meets high-throughput sequencing
topic Essay
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712824/
https://www.ncbi.nlm.nih.gov/pubmed/26745372
http://dx.doi.org/10.1371/journal.pbio.1002350
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