• Corpus ID: 89542781

Phylogenetic relationships within the genus Desmothrips (Thysanoptera, Aeolothripidae), an Australian genus of facultative flower-living predators

  title={Phylogenetic relationships within the genus Desmothrips (Thysanoptera, Aeolothripidae), an Australian genus of facultative flower-living predators},
  author={V. Ron and L. Ur},
A phylogenetic analysis of the Australian Aeolothripidae genus Desmoth- rips Hood is presented. A data matrix with 27 species is analysed under parsimony criteria. The monophyly of Desmothrips is recovered. Continuous and discrete char- acters were analysed separately and in combination, and continuous characters were rescaled and analysed under equal weights. Three new species from the northwestern and one from the southeastern areas of Australia are described and illustrated. A key to the 18… 


Phylogenetic relationships within the genus Cranothrips (Thysanoptera, Melanthripidae) with consideration of host associations and disjunct distributions within the family
The optimal tree obtained from discrete characters alone was similar to the tree resulting from total evidence, and for most groups, the support values resulting from all the evidence analysis were higher than those obtained from the discrete‐only analysis.
Biology and identification of Aeolothripidae (Thysanoptera) in Australia
The diversity of biologies amongst Australian thrips of the family Aeolothripidae is discussed, and a Mymarothrips species from Darwin is re-identified as the Indonesian species M. bicolor Strassen.
TNT, a free program for phylogenetic analysis
Through the use of a number of native commands and a simple but powerful scripting language, TNT allows the user an enormous flexibility in phylogenetic analyses or simulations.
Continuous characters analyzed as such
Quantitative and continuous characters have rarely been included in cladistic analyses of morphological data; when included, they have always been discretized, using a variety of ad hoc methods. As
Methods for Computing Wagner Trees
Abstract Farris, J. S. (Biol. Sci., State Univ., Stony Brook, N. Y.) 1970. Methods for computing Wagner Trees. Syst. Zool., 19:8342.-The article derives some properties of Wagner Trees and Networks
Improvements to resampling measures of group support
Several aspects of current resampling methods to assess group support are reviewed. When the characters have different prior weights or some state transformation costs are different, the frequencies
Methods for Quick Consensus Estimation
A method that allows estimating consensus trees without exhaustive searches is described. The method consists of comparing the results of different independent superficial searches. The results of