Genetic diversity of Ligula intestinalis (Cestoda: Diphyllobothriidea) based on analysis of inter‐simple sequence repeat markers
Identifieur interne : 000D67 ( Istex/Curation ); précédent : 000D66; suivant : 000D68Genetic diversity of Ligula intestinalis (Cestoda: Diphyllobothriidea) based on analysis of inter‐simple sequence repeat markers
Auteurs : W. Bouzid [France, Tunisie] ; S. Lek [France] ; M. Mace [France] ; O. Ben Hassine [Tunisie] ; R. Etienne [France] ; L. Legal [France] ; G. Loot [France]Source :
- Journal of Zoological Systematics and Evolutionary Research [ 0947-5745 ] ; 2008-11.
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Abstract
In order to investigate the genetic diversity of Ligula intestinalis populations, nine inter‐simple sequence repeat (ISSR) markers were applied to populations from nine geographical areas around the world and 10 host species. The 110 loci selected from the ISSR patterns produced revealed high variability among the analysed samples, with a polymorphism of 100% and a global coefficient of gene differentiation estimated by Nei’s index (GST) of 0.776. Major genetic differentiation was found to be correlated to five broad geographical regions (Europe, China, Canada, Australia and Algeria). Nevertheless, no significant genetic variation was found among European isolates, although they originated from disparate geographical localities and/or unrelated hosts. Classical classification methods: maximum parsimony and factorial correspondence analysis were compared with an advanced statistical method: the self‐organizing map (SOM). The results demonstrated that the ISSR approach is rapid and inexpensive and provides reliable markers to assess genetic diversity of L. intestinalis. Furthermore, SOM artificial neuronal networks are considered to provide an efficient alternative tool for mapping the genetic structures of parasite populations.
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DOI: 10.1111/j.1439-0469.2008.00471.x
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The 110 loci selected from the ISSR patterns produced revealed high variability among the analysed samples, with a polymorphism of 100% and a global coefficient of gene differentiation estimated by Nei’s index (GST) of 0.776. Major genetic differentiation was found to be correlated to five broad geographical regions (Europe, China, Canada, Australia and Algeria). Nevertheless, no significant genetic variation was found among European isolates, although they originated from disparate geographical localities and/or unrelated hosts. Classical classification methods: maximum parsimony and factorial correspondence analysis were compared with an advanced statistical method: the self‐organizing map (SOM). The results demonstrated that the ISSR approach is rapid and inexpensive and provides reliable markers to assess genetic diversity of L. intestinalis. Furthermore, SOM artificial neuronal networks are considered to provide an efficient alternative tool for mapping the genetic structures of parasite populations.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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