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Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor

The vertebrate photoperiodic neuroendocrine system uses the photoperiod as a proxy to time the annual rhythms in reproduction. The thyrotropin receptor (TSHR) is a key protein in the mammalian seasonal reproduction pathway. Its abundance and function can tune sensitivity to the photoperiod. To inves...

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Autores principales: van Rosmalen, Laura, Schepers, Robin, Hao, Wensi, Przybylska-Piech, Anna S., Herman, Jeremy S., Stojak, Joanna, Wójcik, Jan M., van de Zande, Louis, Searle, Jeremy B., Hut, Roelof A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957289/
https://www.ncbi.nlm.nih.gov/pubmed/36833219
http://dx.doi.org/10.3390/genes14020292
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author van Rosmalen, Laura
Schepers, Robin
Hao, Wensi
Przybylska-Piech, Anna S.
Herman, Jeremy S.
Stojak, Joanna
Wójcik, Jan M.
van de Zande, Louis
Searle, Jeremy B.
Hut, Roelof A.
author_facet van Rosmalen, Laura
Schepers, Robin
Hao, Wensi
Przybylska-Piech, Anna S.
Herman, Jeremy S.
Stojak, Joanna
Wójcik, Jan M.
van de Zande, Louis
Searle, Jeremy B.
Hut, Roelof A.
author_sort van Rosmalen, Laura
collection PubMed
description The vertebrate photoperiodic neuroendocrine system uses the photoperiod as a proxy to time the annual rhythms in reproduction. The thyrotropin receptor (TSHR) is a key protein in the mammalian seasonal reproduction pathway. Its abundance and function can tune sensitivity to the photoperiod. To investigate seasonal adaptation in mammals, the hinge region and the first part of the transmembrane domain of the Tshr gene were sequenced for 278 common vole (Microtus arvalis) specimens from 15 localities in Western Europe and 28 localities in Eastern Europe. Forty-nine single nucleotide polymorphisms (SNPs; twenty-two intronic and twenty-seven exonic) were found, with a weak or lack of correlation with pairwise geographical distance, latitude, longitude, and altitude. By applying a temperature threshold to the local photoperiod–temperature ellipsoid, we obtained a predicted critical photoperiod (pCPP) as a proxy for the spring onset of local primary food production (grass). The obtained pCPP explains the distribution of the genetic variation in Tshr in Western Europe through highly significant correlations with five intronic and seven exonic SNPs. The relationship between pCPP and SNPs was lacking in Eastern Europe. Thus, Tshr, which plays a pivotal role in the sensitivity of the mammalian photoperiodic neuroendocrine system, was targeted by natural selection in Western European vole populations, resulting in the optimized timing of seasonal reproduction.
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spelling pubmed-99572892023-02-25 Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor van Rosmalen, Laura Schepers, Robin Hao, Wensi Przybylska-Piech, Anna S. Herman, Jeremy S. Stojak, Joanna Wójcik, Jan M. van de Zande, Louis Searle, Jeremy B. Hut, Roelof A. Genes (Basel) Article The vertebrate photoperiodic neuroendocrine system uses the photoperiod as a proxy to time the annual rhythms in reproduction. The thyrotropin receptor (TSHR) is a key protein in the mammalian seasonal reproduction pathway. Its abundance and function can tune sensitivity to the photoperiod. To investigate seasonal adaptation in mammals, the hinge region and the first part of the transmembrane domain of the Tshr gene were sequenced for 278 common vole (Microtus arvalis) specimens from 15 localities in Western Europe and 28 localities in Eastern Europe. Forty-nine single nucleotide polymorphisms (SNPs; twenty-two intronic and twenty-seven exonic) were found, with a weak or lack of correlation with pairwise geographical distance, latitude, longitude, and altitude. By applying a temperature threshold to the local photoperiod–temperature ellipsoid, we obtained a predicted critical photoperiod (pCPP) as a proxy for the spring onset of local primary food production (grass). The obtained pCPP explains the distribution of the genetic variation in Tshr in Western Europe through highly significant correlations with five intronic and seven exonic SNPs. The relationship between pCPP and SNPs was lacking in Eastern Europe. Thus, Tshr, which plays a pivotal role in the sensitivity of the mammalian photoperiodic neuroendocrine system, was targeted by natural selection in Western European vole populations, resulting in the optimized timing of seasonal reproduction. MDPI 2023-01-22 /pmc/articles/PMC9957289/ /pubmed/36833219 http://dx.doi.org/10.3390/genes14020292 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
van Rosmalen, Laura
Schepers, Robin
Hao, Wensi
Przybylska-Piech, Anna S.
Herman, Jeremy S.
Stojak, Joanna
Wójcik, Jan M.
van de Zande, Louis
Searle, Jeremy B.
Hut, Roelof A.
Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor
title Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor
title_full Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor
title_fullStr Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor
title_full_unstemmed Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor
title_short Seasonal Adaptation: Geographic Photoperiod–Temperature Patterns Explain Genetic Variation in the Common Vole Tsh Receptor
title_sort seasonal adaptation: geographic photoperiod–temperature patterns explain genetic variation in the common vole tsh receptor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957289/
https://www.ncbi.nlm.nih.gov/pubmed/36833219
http://dx.doi.org/10.3390/genes14020292
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