Abstract:Adaptive divergence would occur even between the insu ciently isolated populations when there is a great difference in the environments between their habitats. The individuals present in the intermediate zone of the two divergent populations are expected to have an admixed genetic structure due to gene ow. A selective pressure that acts on the genetically admixed individuals may limit the gene ow and promote the adaptive divergence. Here, we addressed a question whether the selection occurs in the genetically … Show more
“…While there have been a few studies on population structure in Japanese A. halleri , they relied on a limited number of loci and sampling locations (Sato and Kudoh, 2014) or focused on a microgeographic scale (Kubota et al, 2015; Yoshida et al, 2023). In this study, by using full-genome re-sequencing data from region-wide samples, we revealed a population structure that showed a clear geographic pattern (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…This study focused on Arabidopsis halleri, a perennial herb distributed in East Asia and Europe. This species has been used extensively for evolutionary and ecological studies (reviewed in Honjo and Kudoh, 2019; Koch, 2018), such as self-incompatibility (Castric and Vekemans, 2004; Durand et al, 2020), heavy metal hyperaccumulation (Krämer, 2010; Stein et al, 2017), and adaptation to high altitudes (Kubota et al, 2015; Yoshida et al, 2023; Yumoto et al, 2021). Five subspecies are recognized in A. halleri : A. halleri subsp.…”
Section: Introductionmentioning
confidence: 99%
“…Given its wide distribution in the diverse climates across the Japanese archipelago, A. halleri can serve as a model species to study how plant populations are locally adapted to diverse climates and their changes during glacial cycles. Population structure and demographic histories are the fundamental basis for studying local adaptation, but the information is currently limited except for a few studies, including the one based on microsatellite markers (Sato and Kudoh, 2014) or the one on a microgeographic scale (Kubota et al, 2015; Yoshida et al, 2023).…”
Section: Introductionmentioning
confidence: 99%
“…The copyright holder for this preprint this version posted April 11, 2024. ; https://doi.org/10.1101/2024.04.08.588504 doi: bioRxiv preprint incompatibility (Castric and Vekemans, 2004;Durand et al, 2020), heavy metal hyperaccumulation (Krämer, 2010;Stein et al, 2017), and adaptation to high altitudes (Kubota et al, 2015;Yoshida et al, 2023;Yumoto et al, 2021). Five subspecies are recognized in A.…”
Climate oscillations in the Quaternary forced species to major latitudinal or altitudinal range shifts. It has been suggested that adaptation concomitant with range shifts plays key roles in species responses during climate oscillations, but the role of selection for local adaptation to climatic changes remains largely unexplored. Here, we investigated population structure, demographic history, and signatures of climate-driven selection based on genome-wide polymorphism data of 141 JapaneseArabidopsis halleriindividuals, with European ones as outgroups. Coalescent-based analyses suggested a genetic differentiation between Japanese subpopulations since the Last Glacial Period (LGP), which would have contributed to shaping the current pattern of population structure. Population demographic analysis revealed the population size fluctuations in the LGP, which were particularly prominent since the subpopulations started to diverge (~50 kya). The ecological niche modeling predicted the range shifts from southern coastal regions to northern coastal and mountainous areas, possibly in association with the population size fluctuations. Through genome-wide association analyses of bioclimatic variables and selection scans, we investigated whether climate-associated loci are enriched in the extreme tails of selection scans, and demonstrated the prevailing signatures of selection, particularly toward a warmer climate in southern subpopulations and a drier environment in northern subpopulations, which may have taken place during or after the LGP. Our study highlights the importance of integrating climate associations, selection scans, and population demographic analyses for identifying genomic signatures of population-specific adaptation, which would also help us predict the evolutionary responses to future climate changes.
“…While there have been a few studies on population structure in Japanese A. halleri , they relied on a limited number of loci and sampling locations (Sato and Kudoh, 2014) or focused on a microgeographic scale (Kubota et al, 2015; Yoshida et al, 2023). In this study, by using full-genome re-sequencing data from region-wide samples, we revealed a population structure that showed a clear geographic pattern (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…This study focused on Arabidopsis halleri, a perennial herb distributed in East Asia and Europe. This species has been used extensively for evolutionary and ecological studies (reviewed in Honjo and Kudoh, 2019; Koch, 2018), such as self-incompatibility (Castric and Vekemans, 2004; Durand et al, 2020), heavy metal hyperaccumulation (Krämer, 2010; Stein et al, 2017), and adaptation to high altitudes (Kubota et al, 2015; Yoshida et al, 2023; Yumoto et al, 2021). Five subspecies are recognized in A. halleri : A. halleri subsp.…”
Section: Introductionmentioning
confidence: 99%
“…Given its wide distribution in the diverse climates across the Japanese archipelago, A. halleri can serve as a model species to study how plant populations are locally adapted to diverse climates and their changes during glacial cycles. Population structure and demographic histories are the fundamental basis for studying local adaptation, but the information is currently limited except for a few studies, including the one based on microsatellite markers (Sato and Kudoh, 2014) or the one on a microgeographic scale (Kubota et al, 2015; Yoshida et al, 2023).…”
Section: Introductionmentioning
confidence: 99%
“…The copyright holder for this preprint this version posted April 11, 2024. ; https://doi.org/10.1101/2024.04.08.588504 doi: bioRxiv preprint incompatibility (Castric and Vekemans, 2004;Durand et al, 2020), heavy metal hyperaccumulation (Krämer, 2010;Stein et al, 2017), and adaptation to high altitudes (Kubota et al, 2015;Yoshida et al, 2023;Yumoto et al, 2021). Five subspecies are recognized in A.…”
Climate oscillations in the Quaternary forced species to major latitudinal or altitudinal range shifts. It has been suggested that adaptation concomitant with range shifts plays key roles in species responses during climate oscillations, but the role of selection for local adaptation to climatic changes remains largely unexplored. Here, we investigated population structure, demographic history, and signatures of climate-driven selection based on genome-wide polymorphism data of 141 JapaneseArabidopsis halleriindividuals, with European ones as outgroups. Coalescent-based analyses suggested a genetic differentiation between Japanese subpopulations since the Last Glacial Period (LGP), which would have contributed to shaping the current pattern of population structure. Population demographic analysis revealed the population size fluctuations in the LGP, which were particularly prominent since the subpopulations started to diverge (~50 kya). The ecological niche modeling predicted the range shifts from southern coastal regions to northern coastal and mountainous areas, possibly in association with the population size fluctuations. Through genome-wide association analyses of bioclimatic variables and selection scans, we investigated whether climate-associated loci are enriched in the extreme tails of selection scans, and demonstrated the prevailing signatures of selection, particularly toward a warmer climate in southern subpopulations and a drier environment in northern subpopulations, which may have taken place during or after the LGP. Our study highlights the importance of integrating climate associations, selection scans, and population demographic analyses for identifying genomic signatures of population-specific adaptation, which would also help us predict the evolutionary responses to future climate changes.
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