Serveur d'exploration sur le chêne en Belgique (avant curation)

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Global warming will affect the genetic diversity and uniqueness of Lycaena helle populations

Identifieur interne : 000475 ( Main/Exploration ); précédent : 000474; suivant : 000476

Global warming will affect the genetic diversity and uniqueness of Lycaena helle populations

Auteurs : Jan Christian Habel [Allemagne, Luxembourg (pays)] ; Dennis Rödder [Allemagne] ; Thomas Schmitt [Allemagne] ; Gabriel Nève [France]

Source :

RBID : ISTEX:181F2E276174DBAE69CADD59A3C77937F885D143

English descriptors

Abstract

The climate warming of the postglacial has strongly reduced the distribution of cold‐adapted species over most of Central Europe. Such taxa have therefore become extinct over most of the lowlands and shifted to higher altitudes where they have survived to the present day. The lycaenid butterfly Lycaena helle follows this pattern of former widespread distribution and later restriction to mountain areas such as the European middle mountains. We sampled 203 individuals from 10 populations representing six mountain ranges (Pyrenees, Jura, Massif Central, Morvan, Vosges and Ardennes) over the species' western distribution. Allozyme and microsatellite polymorphisms were analysed to study the genetic status of these highly fragmented populations. Both molecular marker systems revealed a strong genetic differentiation among the analysed populations, coinciding with the orographic structure and highly restricted gene flow among them. The large‐scale genetic differentiation is more pronounced in allozymes (FCT: 0.326) than in microsatellites (RCT: 0.113), but microsatellites show a higher resolution on the regional scale (RSC: 0.082) compared with allozymes (FSC: n.s.). For both analytical tools, we found private alleles occurring exclusively in a single mountain area. The highly fragmented and isolated occurrence of populations is supported by the distribution pattern of potentially suitable climate suggested by species distribution models. Model projections under two climate warming scenarios predict a decline of climatically suitable areas, which will result in the extinction of most of the populations showing unique genetic characteristics.

Url:
DOI: 10.1111/j.1365-2486.2010.02233.x


Affiliations:


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Le document en format XML

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