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A comprehensive database of thermal developmental plasticity in reptiles
How temperature influences development has direct relevance to ascertaining the impact of climate change on natural populations. Reptiles have served as empirical models for understanding how the environment experienced by embryos can influence phenotypic variation, including sex ratio, phenology an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6049033/ https://www.ncbi.nlm.nih.gov/pubmed/30015809 http://dx.doi.org/10.1038/sdata.2018.138 |
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author | Noble, Daniel W. A. Stenhouse, Vaughn Riley, Julia L. Warner, Daniel A. While, Geoffrey M. Du, Wei-Guo Uller, Tobias Schwanz, Lisa E. |
author_facet | Noble, Daniel W. A. Stenhouse, Vaughn Riley, Julia L. Warner, Daniel A. While, Geoffrey M. Du, Wei-Guo Uller, Tobias Schwanz, Lisa E. |
author_sort | Noble, Daniel W. A. |
collection | PubMed |
description | How temperature influences development has direct relevance to ascertaining the impact of climate change on natural populations. Reptiles have served as empirical models for understanding how the environment experienced by embryos can influence phenotypic variation, including sex ratio, phenology and survival. Such an understanding has important implications for basic eco-evolutionary theory and conservation efforts worldwide. While there is a burgeoning empirical literature of experimental manipulations of embryonic thermal environments, addressing widespread patterns at a comparative level has been hampered by the lack of accessible data in a format that is amendable to updates as new studies emerge. Here, we describe a database with nearly 10, 000 phenotypic estimates from 155 species of reptile, collected from 300 studies manipulating incubation temperature (published between 1974–2016). The data encompass various morphological, physiological, behavioural and performance traits along with growth rates, developmental timing, sex ratio and survival (e.g., hatching success). This resource will serve as an important data repository for addressing overarching questions about thermal plasticity of reptile embryos. |
format | Online Article Text |
id | pubmed-6049033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60490332018-07-24 A comprehensive database of thermal developmental plasticity in reptiles Noble, Daniel W. A. Stenhouse, Vaughn Riley, Julia L. Warner, Daniel A. While, Geoffrey M. Du, Wei-Guo Uller, Tobias Schwanz, Lisa E. Sci Data Data Descriptor How temperature influences development has direct relevance to ascertaining the impact of climate change on natural populations. Reptiles have served as empirical models for understanding how the environment experienced by embryos can influence phenotypic variation, including sex ratio, phenology and survival. Such an understanding has important implications for basic eco-evolutionary theory and conservation efforts worldwide. While there is a burgeoning empirical literature of experimental manipulations of embryonic thermal environments, addressing widespread patterns at a comparative level has been hampered by the lack of accessible data in a format that is amendable to updates as new studies emerge. Here, we describe a database with nearly 10, 000 phenotypic estimates from 155 species of reptile, collected from 300 studies manipulating incubation temperature (published between 1974–2016). The data encompass various morphological, physiological, behavioural and performance traits along with growth rates, developmental timing, sex ratio and survival (e.g., hatching success). This resource will serve as an important data repository for addressing overarching questions about thermal plasticity of reptile embryos. Nature Publishing Group 2018-07-17 /pmc/articles/PMC6049033/ /pubmed/30015809 http://dx.doi.org/10.1038/sdata.2018.138 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Noble, Daniel W. A. Stenhouse, Vaughn Riley, Julia L. Warner, Daniel A. While, Geoffrey M. Du, Wei-Guo Uller, Tobias Schwanz, Lisa E. A comprehensive database of thermal developmental plasticity in reptiles |
title | A comprehensive database of thermal developmental plasticity in reptiles |
title_full | A comprehensive database of thermal developmental plasticity in reptiles |
title_fullStr | A comprehensive database of thermal developmental plasticity in reptiles |
title_full_unstemmed | A comprehensive database of thermal developmental plasticity in reptiles |
title_short | A comprehensive database of thermal developmental plasticity in reptiles |
title_sort | comprehensive database of thermal developmental plasticity in reptiles |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6049033/ https://www.ncbi.nlm.nih.gov/pubmed/30015809 http://dx.doi.org/10.1038/sdata.2018.138 |
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