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A molecular characterization of species and populations of Dugesia gonocephala s.l.
Batistoni, R.; Rossi, L.; Cori, F.; Deri, P. (2001). A molecular characterization of species and populations of Dugesia gonocephala s.l. Belg. J. Zool. 131(Suppl. 1): 97-100
In: Belgian Journal of Zoology. Koninklijke Belgische Vereniging voor Dierkunde = Société royale zoologique de Belgique: Gent. ISSN 0777-6276; e-ISSN 2295-0451, more
Also appears in:
Saló, E.; Watson, N.; Schockaert, E. (Ed.) (2001). Proceedings of the 9th International Symposium on the Biology of the Turbellaria, Barcelona, Spain, June 2000. Belgian Journal of Zoology, 131(Suppl. 1). Koninklijke Belgische Vereniging voor Dierkunde = Société royale zoologique de Belgique: Diepenbeek. 236 pp., more
Peer reviewed article  
Available in  Authors 
Keywords
    Invertebrates > Platyhelminthes > Turbellaria > Tricladida > Planariidae > Dugesia
    Nucleic compounds > Nucleic acids > Dna > Repetitive dna
    Platyhelminthes [WoRMS]; Tricladida [WoRMS]; Turbellaria [WoRMS]
    Marine/Coastal
Authors  Top 
  • Batistoni, R.
  • Rossi, L.
  • Cori, F.
  • Deri, P.
Abstract
    We have employed a molecular approach to identify genomic characteristics in planarians belonging to Dugesia gonocephala s.l. In this paper we report the further characterisation of a repetitive DNA family (Del) that represents a useful molecular marker for establishing the genomic relationships among the species. We also describe the use of the molecular approach to obtain information about the genome organization of an asexual population of D. gonocephala s.l. from Montecristo Island, a natural park of the Tuscan Archipelago in the Tyrrhenian Sea. Specific DNA patterns have been individuated by using Southern blot analysis and the RAPD-PCR technique. These results, compared with those obtained in other species of Dugesia gonocephala s.l., indicate that some genomic differences characterise this geographically isolated planarian population. The possibility of a microspeciation event in the insular area is hypothesised.
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