title: Genetic networking of the Bemisia tabaci cryptic species complex reveals pattern of biological invasions.
abstract: BACKGROUND
  A challenge within the context of cryptic species is the delimitation of individual species within the complex. Statistical parsimony network analytics offers the opportunity to explore limits in situations where there are insufficient species-specific morphological characters to separate taxa. The results also enable us to explore the spread in taxa that have invaded globally.
  
  
  RESULTS
  Using a 657 bp portion of mitochondrial cytochrome oxidase 1 from 352 unique haplotypes belonging to the Bemisia tabaci cryptic species complex, the analysis revealed 28 networks plus 7 unconnected individual haplotypes. Of the networks, 24 corresponded to the putative species identified using the rule set devised by Dinsdale et al. (2010). Only two species proposed in Dinsdale et al. (2010) departed substantially from the structure suggested by the analysis. The analysis of the two invasive members of the complex, Mediterranean (MED) and Middle East - Asia Minor 1 (MEAM1), showed that in both cases only a small number of haplotypes represent the majority that have spread beyond the home range; one MEAM1 and three MED haplotypes account for >80% of the GenBank records. Israel is a possible source of the globally invasive MEAM1 whereas MED has two possible sources. The first is the eastern Mediterranean which has invaded only the USA, primarily Florida and to a lesser extent California. The second are western Mediterranean haplotypes that have spread to the USA, Asia and South America. The structure for MED supports two home range distributions, a Sub-Saharan range and a Mediterranean range. The MEAM1 network supports the Middle East - Asia Minor region.
  
  
  CONCLUSIONS
  The network analyses show a high level of congruence with the species identified in a previous phylogenetic analysis. The analysis of the two globally invasive members of the complex support the view that global invasion often involve very small portions of the available genetic diversity.
authors: CSIRO Ecosystem Sciences, Brisbane, Queensland, Australia. paul.debarro@csiro.au
authors: Paul
authors: P
authors: De Barro
authors: Muhammad Z
authors: MZ
authors: Ahmed
mesh_terms: D000818:Animals; D003576:Electron Transport Complex IV / Q000235:genetics; D017344:Genes, Insect / Q000235:genetics*; D014644:Genetic Variation / Q000235:genetics; D006239:Haplotypes / Q000235:genetics; D006430:Hemiptera / Q000145:classification* / Q000235:genetics*; D058865:Introduced Species; D008928:Mitochondria / Q000201:enzymology; D008969:Molecular Sequence Data; D010802:Phylogeny
chemical_list: D003576:Electron Transport Complex IV