Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mayekar, Harshad Vijay, Ramkumar, Durga Kavya, Garg, Divita, Nair, Abhishek, Khandelwal, Ashwin, Joshi, Kavya, Rajpurohit, Subhash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784815070446878720
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
work_keys_str_mv AT mayekarharshadvijay clinalvariationasatooltounderstandclimatechange
AT ramkumardurgakavya clinalvariationasatooltounderstandclimatechange
AT gargdivita clinalvariationasatooltounderstandclimatechange
AT nairabhishek clinalvariationasatooltounderstandclimatechange
AT khandelwalashwin clinalvariationasatooltounderstandclimatechange
AT joshikavya clinalvariationasatooltounderstandclimatechange
AT rajpurohitsubhash clinalvariationasatooltounderstandclimatechange