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Clinal variation as a tool to understand climate change
Clines are observable gradients that reflect continuous change in biological traits of species across geographical ranges. Clinal gradients could vary at geographic scales (latitude and altitude). Since clinal variations represent active genomic responses at the population level they (clines) provid...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593049/ https://www.ncbi.nlm.nih.gov/pubmed/36304576 http://dx.doi.org/10.3389/fphys.2022.880728 |
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author | Mayekar, Harshad Vijay Ramkumar, Durga Kavya Garg, Divita Nair, Abhishek Khandelwal, Ashwin Joshi, Kavya Rajpurohit, Subhash |
author_facet | Mayekar, Harshad Vijay Ramkumar, Durga Kavya Garg, Divita Nair, Abhishek Khandelwal, Ashwin Joshi, Kavya Rajpurohit, Subhash |
author_sort | Mayekar, Harshad Vijay |
collection | PubMed |
description | Clines are observable gradients that reflect continuous change in biological traits of species across geographical ranges. Clinal gradients could vary at geographic scales (latitude and altitude). Since clinal variations represent active genomic responses at the population level they (clines) provide an immense power to address questions related to climatic change. With the fast pace of climate change i.e. warming, populations are also likely to exhibit rapid responses; at both the phenotypic and genotypic levels. We seek to understand how clinal variation could be used to anticipate climatic responses using Drosophila, a pervasively used inter-disciplinary model system owing to its molecular repertoire. The genomic information coupled with the phenotypic variation greatly facilitates our understanding of the Drosophilidae response to climate change. We discuss traits associated with clinal variation at the phenotypic level as well as their underlying genetic regulators. Given prevailing climatic conditions and future projections for climate change, clines could emerge as monitoring tools to track the cross-talk between climatic variables and organisms. |
format | Online Article Text |
id | pubmed-9593049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95930492022-10-26 Clinal variation as a tool to understand climate change Mayekar, Harshad Vijay Ramkumar, Durga Kavya Garg, Divita Nair, Abhishek Khandelwal, Ashwin Joshi, Kavya Rajpurohit, Subhash Front Physiol Physiology Clines are observable gradients that reflect continuous change in biological traits of species across geographical ranges. Clinal gradients could vary at geographic scales (latitude and altitude). Since clinal variations represent active genomic responses at the population level they (clines) provide an immense power to address questions related to climatic change. With the fast pace of climate change i.e. warming, populations are also likely to exhibit rapid responses; at both the phenotypic and genotypic levels. We seek to understand how clinal variation could be used to anticipate climatic responses using Drosophila, a pervasively used inter-disciplinary model system owing to its molecular repertoire. The genomic information coupled with the phenotypic variation greatly facilitates our understanding of the Drosophilidae response to climate change. We discuss traits associated with clinal variation at the phenotypic level as well as their underlying genetic regulators. Given prevailing climatic conditions and future projections for climate change, clines could emerge as monitoring tools to track the cross-talk between climatic variables and organisms. Frontiers Media S.A. 2022-10-11 /pmc/articles/PMC9593049/ /pubmed/36304576 http://dx.doi.org/10.3389/fphys.2022.880728 Text en Copyright © 2022 Mayekar, Ramkumar, Garg, Nair, Khandelwal, Joshi and Rajpurohit. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Mayekar, Harshad Vijay Ramkumar, Durga Kavya Garg, Divita Nair, Abhishek Khandelwal, Ashwin Joshi, Kavya Rajpurohit, Subhash Clinal variation as a tool to understand climate change |
title | Clinal variation as a tool to understand climate change |
title_full | Clinal variation as a tool to understand climate change |
title_fullStr | Clinal variation as a tool to understand climate change |
title_full_unstemmed | Clinal variation as a tool to understand climate change |
title_short | Clinal variation as a tool to understand climate change |
title_sort | clinal variation as a tool to understand climate change |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593049/ https://www.ncbi.nlm.nih.gov/pubmed/36304576 http://dx.doi.org/10.3389/fphys.2022.880728 |
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