Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa

Mountain plants, challenged by vegetation time contractions and dynamic changes in environmental conditions, developed adaptations that help them to balance their growth, reproduction, survival, and regeneration. However, knowledge regarding the genetic basis of species adaptation to higher altitude...

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Main Authors: Julia Zaborowska, Bartosz Łabiszak, Annika Perry, Stephen Cavers, Witold Wachowiak
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/22/7/3477
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author Julia Zaborowska
Bartosz Łabiszak
Annika Perry
Stephen Cavers
Witold Wachowiak
author_facet Julia Zaborowska
Bartosz Łabiszak
Annika Perry
Stephen Cavers
Witold Wachowiak
author_sort Julia Zaborowska
collection DOAJ
description Mountain plants, challenged by vegetation time contractions and dynamic changes in environmental conditions, developed adaptations that help them to balance their growth, reproduction, survival, and regeneration. However, knowledge regarding the genetic basis of species adaptation to higher altitudes remain scarce for most plant species. Here, we attempted to identify such corresponding genomic regions of high evolutionary importance in two closely related European pines, <i>Pinus mugo</i> and <i>P. uncinata</i>, contrasting them with a reference lowland relative—<i>P. sylvestris</i>. We genotyped 438 samples at thousands of single nucleotide polymorphism (SNP) markers, tested their genetic differentiation and population structure followed by outlier detection and gene ontology annotations. Markers clearly differentiated the species and uncovered patterns of population structure in two of them. In <i>P. uncinata</i> three Pyrenean sites were grouped together, while two outlying populations constituted a separate cluster. In <i>P. sylvestris</i>, Spanish population appeared distinct from the remaining four European sites. Between mountain pines and the reference species, 35 candidate genes for altitude-dependent selection were identified, including such encoding proteins responsible for photosynthesis, photorespiration and cell redox homeostasis, regulation of transcription, and mRNA processing. In comparison between two mountain pines, 75 outlier SNPs were found in proteins involved mainly in the gene expression and metabolism.
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spelling doaj.art-983eb0651d5f4a9db37f8c981909dddf2023-11-21T13:05:45ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-03-01227347710.3390/ijms22073477Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine TaxaJulia Zaborowska0Bartosz Łabiszak1Annika Perry2Stephen Cavers3Witold Wachowiak4Institute of Environmental Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614 Poznań, PolandInstitute of Environmental Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614 Poznań, PolandCentre for Ecology and Hydrology-Edinburgh Site, Bush Estate, Penicuik, Midlothian EH26 0QB, UKCentre for Ecology and Hydrology-Edinburgh Site, Bush Estate, Penicuik, Midlothian EH26 0QB, UKInstitute of Environmental Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614 Poznań, PolandMountain plants, challenged by vegetation time contractions and dynamic changes in environmental conditions, developed adaptations that help them to balance their growth, reproduction, survival, and regeneration. However, knowledge regarding the genetic basis of species adaptation to higher altitudes remain scarce for most plant species. Here, we attempted to identify such corresponding genomic regions of high evolutionary importance in two closely related European pines, <i>Pinus mugo</i> and <i>P. uncinata</i>, contrasting them with a reference lowland relative—<i>P. sylvestris</i>. We genotyped 438 samples at thousands of single nucleotide polymorphism (SNP) markers, tested their genetic differentiation and population structure followed by outlier detection and gene ontology annotations. Markers clearly differentiated the species and uncovered patterns of population structure in two of them. In <i>P. uncinata</i> three Pyrenean sites were grouped together, while two outlying populations constituted a separate cluster. In <i>P. sylvestris</i>, Spanish population appeared distinct from the remaining four European sites. Between mountain pines and the reference species, 35 candidate genes for altitude-dependent selection were identified, including such encoding proteins responsible for photosynthesis, photorespiration and cell redox homeostasis, regulation of transcription, and mRNA processing. In comparison between two mountain pines, 75 outlier SNPs were found in proteins involved mainly in the gene expression and metabolism.https://www.mdpi.com/1422-0067/22/7/3477candidate geneshigh-altitude adaptationsmountain pinesoutlier loci<i>Pinus</i>SNP genotyping array
spellingShingle Julia Zaborowska
Bartosz Łabiszak
Annika Perry
Stephen Cavers
Witold Wachowiak
Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa
International Journal of Molecular Sciences
candidate genes
high-altitude adaptations
mountain pines
outlier loci
<i>Pinus</i>
SNP genotyping array
title Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa
title_full Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa
title_fullStr Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa
title_full_unstemmed Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa
title_short Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa
title_sort candidate genes for the high altitude adaptations of two mountain pine taxa
topic candidate genes
high-altitude adaptations
mountain pines
outlier loci
<i>Pinus</i>
SNP genotyping array
url https://www.mdpi.com/1422-0067/22/7/3477
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