JamesColtmanMurrayEtAl2011

Référence

James, P.M.A., Coltman, D.W., Murray, B.W., Hamelin, R.C. and Sperling, F.A.H. (2011) Spatial genetic structure of a symbiotic beetle-fungal system: Toward multi-taxa integrated landscape genetics. PLoS ONE, 6(10):e25359. (Scopus )

Résumé

Spatial patterns of genetic variation in interacting species can identify shared features that are important to gene flow and can elucidate co-evolutionary relationships. We assessed concordance in spatial genetic variation between the mountain pine beetle (Dendroctonus ponderosae) and one of its fungal symbionts, Grosmanniaclavigera, in western Canada using neutral genetic markers. We examined how spatial heterogeneity affects genetic variation within beetles and fungi and developed a novel integrated landscape genetics approach to assess reciprocal genetic influences between species using constrained ordination. We also compared landscape genetic models built using Euclidean distances based on allele frequencies to traditional pair-wise Fst. Both beetles and fungi exhibited moderate levels of genetic structure over the total study area, low levels of structure in the south, and more pronounced fungal structure in the north. Beetle genetic variation was associated with geographic location while that of the fungus was not. Pinevolume and climate explained beetle genetic variation in the northern region of recent outbreak expansion. Reciprocal genetic relationships were only detectedin the south where there has been alonger history of beetle infestations. The Euclidean distance and Fst-based analyses resulted in similar models in the north and over the entire study area, but differences between methods in the south suggest that genetic distances measures should be selected based on ecological and evolutionary contexts. The integrated landscape genetics framework we present is powerful, general, and can be applied to other systems to quantify the biotic and abiotic determinants of spatial genetic variation within and among taxa. © 2011 James et al.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { JamesColtmanMurrayEtAl2011,
    AUTHOR = { James, P.M.A. and Coltman, D.W. and Murray, B.W. and Hamelin, R.C. and Sperling, F.A.H. },
    TITLE = { Spatial genetic structure of a symbiotic beetle-fungal system: Toward multi-taxa integrated landscape genetics },
    JOURNAL = { PLoS ONE },
    YEAR = { 2011 },
    VOLUME = { 6 },
    PAGES = { e25359 },
    NUMBER = { 10 },
    ABSTRACT = { Spatial patterns of genetic variation in interacting species can identify shared features that are important to gene flow and can elucidate co-evolutionary relationships. We assessed concordance in spatial genetic variation between the mountain pine beetle (Dendroctonus ponderosae) and one of its fungal symbionts, Grosmanniaclavigera, in western Canada using neutral genetic markers. We examined how spatial heterogeneity affects genetic variation within beetles and fungi and developed a novel integrated landscape genetics approach to assess reciprocal genetic influences between species using constrained ordination. We also compared landscape genetic models built using Euclidean distances based on allele frequencies to traditional pair-wise Fst. Both beetles and fungi exhibited moderate levels of genetic structure over the total study area, low levels of structure in the south, and more pronounced fungal structure in the north. Beetle genetic variation was associated with geographic location while that of the fungus was not. Pinevolume and climate explained beetle genetic variation in the northern region of recent outbreak expansion. Reciprocal genetic relationships were only detectedin the south where there has been alonger history of beetle infestations. The Euclidean distance and Fst-based analyses resulted in similar models in the north and over the entire study area, but differences between methods in the south suggest that genetic distances measures should be selected based on ecological and evolutionary contexts. The integrated landscape genetics framework we present is powerful, general, and can be applied to other systems to quantify the biotic and abiotic determinants of spatial genetic variation within and among taxa. © 2011 James et al. },
    COMMENT = { Export Date: 15 May 2012 Source: Scopus Art. No.: e25359 doi: 10.1371/journal.pone.0025359 },
    ISSN = { 19326203 (ISSN) },
    KEYWORDS = { abiotic stress, article, beetle, biotic stress, Canada, climate, controlled study, Dendroctonus ponderosae, ecological genetics, fungus, gene frequency, genetic distance, genetic heterogeneity, genetic marker, genetic selection, genetic variability, geographic distribution, Grosmanniaclavigera, infestation, landscape genetics, nonhuman, spatial genetic variation, symbiosis, taxon, Coleoptera, Dendroctonus ponderosae, Fungi },
    OWNER = { Luc },
    TIMESTAMP = { 2012.05.15 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-80053526616&partnerID=40&md5=daf4aac550ab61b044a7d4b10c5aafb1 },
}

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - Mycorhizes_2019 ****************** **********************************************************

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...