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Local Adaptation in European Firs Assessed through Extensive Sampling across Altitudinal Gradients in Southern Europe

Brousseau, Louise (författare)
INRA, Domaine St Paul, URFM Ecol Forets Mediterraneennes UR629, Site Agroparc CS,Site Agroparc CS 40509, F-84914 Avignon 9, France.;Natl Res Council IBBR CNR, Div Florence, Inst Biosci & BioResources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, France.
Postolache, Dragos (författare)
Natl Res Council IBBR CNR, Div Florence, Inst Biosci & BioResources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, France.;Scuola Super Sant Anna, Piazza Martiri Liberta 33, I-56127 Pisa, Italy.;Natl Inst Forest Res & Dev INCDS, Res Stn Simeria, Str Biscaria 1, Simeria 335900, Romania.
Lascoux, Martin (författare)
Uppsala universitet,Växtekologi och evolution
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Drouzas, Andreas D. (författare)
Aristotle Univ Thessaloniki, Sch Biol, GR-54124 Thessaloniki, Greece.
Källman, Thomas (författare)
Uppsala universitet,Institutionen för medicinsk biokemi och mikrobiologi
Leonarduzzi, Cristina (författare)
Natl Res Council IBBR CNR, Div Florence, Inst Biosci & BioResources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, France.;Natl 3 Res Council Corso Calatafimi, Div Palermo, Inst Biosci & BioResources, Natl Res Council IBBR CNR, I-90129 Palermo, PA, Italy.
Liepelt, Sascha (författare)
Univ Marburg, Fac Biol, Conservat Biol, Karl von Frisch Str, D-35032 Marburg, Germany.
Piotti, Andrea (författare)
Natl Res Council IBBR CNR, Div Florence, Inst Biosci & BioResources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, France.
Popescu, Flaviu (författare)
Natl Inst Forest Res & Dev INCDS, Res Stn Simeria, Str Biscaria 1, Simeria 335900, Romania.
Roschanski, Anna M. (författare)
Univ Marburg, Fac Biol, Conservat Biol, Karl von Frisch Str, D-35032 Marburg, Germany.;Leibniz Inst Plant Genet & Crop Plant Res IPK, Genebank Collect North, Inselstr 9, D-23999 Malchow Poel, Germany.
Zhelev, Peter (författare)
Univ Forestry, 10 Kl Ohridsky Blvd, Sofia 1797, Bulgaria.
Fady, Bruno (författare)
INRA, Domaine St Paul, URFM Ecol Forets Mediterraneennes UR629, Site Agroparc CS,Site Agroparc CS 40509, F-84914 Avignon 9, France.
Vendramin, Giovanni Giuseppe (författare)
Natl Res Council IBBR CNR, Div Florence, Inst Biosci & BioResources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, France.
visa färre...
INRA, Domaine St Paul, URFM Ecol Forets Mediterraneennes UR629, Site Agroparc CS,Site Agroparc CS 40509, F-84914 Avignon 9, France;Natl Res Council IBBR CNR, Div Florence, Inst Biosci & BioResources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, France. Natl Res Council IBBR CNR, Div Florence, Inst Biosci & BioResources, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, France.;Scuola Super Sant Anna, Piazza Martiri Liberta 33, I-56127 Pisa, Italy.;Natl Inst Forest Res & Dev INCDS, Res Stn Simeria, Str Biscaria 1, Simeria 335900, Romania. (creator_code:org_t)
2016-07-08
2016
Engelska.
Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 11:7
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Background Local adaptation is a key driver of phenotypic and genetic divergence at loci responsible for adaptive traits variations in forest tree populations. Its experimental assessment requires rigorous sampling strategies such as those involving population pairs replicated across broad spatial scales. Methods A hierarchical Bayesian model of selection (HBM) that explicitly considers both the replication of the environmental contrast and the hierarchical genetic structure among replicated study sites is introduced. Its power was assessed through simulations and compared to classical 'within-site' approaches (FDIST, BAYESCAN) and a simplified, within-site, version of the model introduced here (SBM). Results HBM demonstrates that hierarchical approaches are very powerful to detect replicated patterns of adaptive divergence with low false-discovery (FDR) and false-non-discovery (FNR) rates compared to the analysis of different sites separately through within-site approaches. The hypothesis of local adaptation to altitude was further addressed by analyzing replicated Abies alba population pairs (low and high elevations) across the species' southern distribution range, where the effects of climatic selection are expected to be the strongest. For comparison, a single population pair from the closely related species A. cephalonica was also analyzed. The hierarchical model did not detect any pattern of adaptive divergence to altitude replicated in the different study sites. Instead, idiosyncratic patterns of local adaptation among sites were detected by within-site approaches. Conclusion Hierarchical approaches may miss idiosyncratic patterns of adaptation among sites, and we strongly recommend the use of both hierarchical (multi-site) and classical (within-site) approaches when addressing the question of adaptation across broad spatial scales.

Ämnesord

NATURVETENSKAP  -- Biologi -- Evolutionsbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Evolutionary Biology (hsv//eng)

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