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Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms
SIMPLE SUMMARY: Circadian clocks are molecular pacemakers that drive daily rhythms in physiology, metabolism, and behavior. They are present in a diverse range of organisms, from cyanobacteria to humans. In the last few decades, enormous progress has been made in understanding the molecular details...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295014/ https://www.ncbi.nlm.nih.gov/pubmed/37372143 http://dx.doi.org/10.3390/biology12060858 |
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author | Khatib, Loren Subasi, Bengisu Sezen Fishman, Bettina Kapun, Martin Tauber, Eran |
author_facet | Khatib, Loren Subasi, Bengisu Sezen Fishman, Bettina Kapun, Martin Tauber, Eran |
author_sort | Khatib, Loren |
collection | PubMed |
description | SIMPLE SUMMARY: Circadian clocks are molecular pacemakers that drive daily rhythms in physiology, metabolism, and behavior. They are present in a diverse range of organisms, from cyanobacteria to humans. In the last few decades, enormous progress has been made in understanding the molecular details of the circadian clock. The fruit-fly Drosophila has been instrumental in identifying ‘clock’ genes, which are well conserved in mammals, both in sequence and function. Many ‘clock’ genes have been identified using laboratory mutagenesis screens, which look for mutants that show aberrant circadian behavior. The recent accumulation of genomic sequences from wild populations of Drosophila provides an opportunity to identify natural genetic variations in ‘clock’ genes, which serve as molecular adaptations to local habitats. Here, we focused on nine polymorphic sites in genes associated with the clock and tested their impact on diurnal behavior. We found seven sites whose alleles confer different circadian behavior or seasonal response. This analysis of natural variation can provide information about fine-tuning of the clock, and it is essential for understanding the evolution of the circadian system. ABSTRACT: Our understanding of the gene regulatory network that constitutes the circadian clock has greatly increased in recent decades, notably due to the use of Drosophila as a model system. In contrast, the analysis of natural genetic variation that enables the robust function of the clock under a broad range of environments has developed more slowly. In the current study, we analyzed comprehensive genome sequencing data from wild European populations of Drosophila, which were densely sampled through time and space. We identified hundreds of single nucleotide polymorphisms (SNPs) in nine genes associated with the clock, 276 of which exhibited a latitudinal cline in their allele frequencies. While the effect sizes of these clinal patterns were small, indicating subtle adaptations driven by natural selection, they provided important insights into the genetic dynamics of circadian rhythms in natural populations. We selected nine SNPs in different genes and assessed their impact on circadian and seasonal phenotypes by reconstructing outbred populations fixed for either of the SNP alleles, from inbred DGRP strains. The circadian free-running period of the locomotor activity rhythm was affected by an SNP in doubletime (dbt) and eyes absent (Eya). The SNPs in Clock (Clk), Shaggy (Sgg), period (per), and timeless (tim) affected the acrophase. The alleles of the SNP in Eya conferred different levels of diapause and the chill coma recovery response. |
format | Online Article Text |
id | pubmed-10295014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102950142023-06-28 Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms Khatib, Loren Subasi, Bengisu Sezen Fishman, Bettina Kapun, Martin Tauber, Eran Biology (Basel) Article SIMPLE SUMMARY: Circadian clocks are molecular pacemakers that drive daily rhythms in physiology, metabolism, and behavior. They are present in a diverse range of organisms, from cyanobacteria to humans. In the last few decades, enormous progress has been made in understanding the molecular details of the circadian clock. The fruit-fly Drosophila has been instrumental in identifying ‘clock’ genes, which are well conserved in mammals, both in sequence and function. Many ‘clock’ genes have been identified using laboratory mutagenesis screens, which look for mutants that show aberrant circadian behavior. The recent accumulation of genomic sequences from wild populations of Drosophila provides an opportunity to identify natural genetic variations in ‘clock’ genes, which serve as molecular adaptations to local habitats. Here, we focused on nine polymorphic sites in genes associated with the clock and tested their impact on diurnal behavior. We found seven sites whose alleles confer different circadian behavior or seasonal response. This analysis of natural variation can provide information about fine-tuning of the clock, and it is essential for understanding the evolution of the circadian system. ABSTRACT: Our understanding of the gene regulatory network that constitutes the circadian clock has greatly increased in recent decades, notably due to the use of Drosophila as a model system. In contrast, the analysis of natural genetic variation that enables the robust function of the clock under a broad range of environments has developed more slowly. In the current study, we analyzed comprehensive genome sequencing data from wild European populations of Drosophila, which were densely sampled through time and space. We identified hundreds of single nucleotide polymorphisms (SNPs) in nine genes associated with the clock, 276 of which exhibited a latitudinal cline in their allele frequencies. While the effect sizes of these clinal patterns were small, indicating subtle adaptations driven by natural selection, they provided important insights into the genetic dynamics of circadian rhythms in natural populations. We selected nine SNPs in different genes and assessed their impact on circadian and seasonal phenotypes by reconstructing outbred populations fixed for either of the SNP alleles, from inbred DGRP strains. The circadian free-running period of the locomotor activity rhythm was affected by an SNP in doubletime (dbt) and eyes absent (Eya). The SNPs in Clock (Clk), Shaggy (Sgg), period (per), and timeless (tim) affected the acrophase. The alleles of the SNP in Eya conferred different levels of diapause and the chill coma recovery response. MDPI 2023-06-14 /pmc/articles/PMC10295014/ /pubmed/37372143 http://dx.doi.org/10.3390/biology12060858 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Khatib, Loren Subasi, Bengisu Sezen Fishman, Bettina Kapun, Martin Tauber, Eran Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms |
title | Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms |
title_full | Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms |
title_fullStr | Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms |
title_full_unstemmed | Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms |
title_short | Unveiling Subtle Geographical Clines: Phenotypic Effects and Dynamics of Circadian Clock Gene Polymorphisms |
title_sort | unveiling subtle geographical clines: phenotypic effects and dynamics of circadian clock gene polymorphisms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295014/ https://www.ncbi.nlm.nih.gov/pubmed/37372143 http://dx.doi.org/10.3390/biology12060858 |
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