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The ecology and evolution of microsporidian parasites

Published online by Cambridge University Press:  08 December 2009

J. E. SMITH*
Affiliation:
Institute of Integrative and Comparative Biology, Faculty of Biological Sciences, The University of Leeds, Leeds LS2 9JT, UK
*
Corresponding author: Judith E. Smith, Institute of Integrative and Comparative Biology, Miall Building, Faculty of Biological Sciences, The University of Leeds, Leeds LS2 9JT, UK Tel: 0044 (0) 113 343 2892. E-mail: j.e.smith@leeds.ac.uk
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Summary

The phylum Microspora is ancient and diverse and affects a wide range of hosts. There is unusually high use of vertical transmission and this has significant consequences for transmission and pathogenicity. Vertical transmission is associated with low pathogenesis but nevertheless can have significant impact through associated traits such as sex ratio distortion. The majority of microsporidia have mixed transmission cycles and it is not clear whether they are able to modify their phenotype according to environmental circumstances. There is a great need to understand the mechanisms controlling transmission and one of the first challenges for the genomics era is to find genes associated with life cycle stages. Similarly we cannot currently predict the ease with which these parasites might switch between host groups. Phylogenetic analysis suggests that there are strong relationships between Microsporidia and their hosts. However closer typing of parasite isolates, in relation to host range and disease phenotype, is required to assess future environmental risk from these pathogens.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2009
Figure 0

Fig. 1. Microsporidian phylogenetic tree. The tree is based on around 800 bp 800 bp SSU rDNA sequences were used to reconstruct a phylogenetic tree of 315 microsporidian parasites with 4 species of fungi representing Chytridiomycota, Zygomycota, Ascomycota as outgroups. MrBayes v 3.1.1 (Huelsenbeck and Ronquist, 2001) was used to infer these Bayesian analyses over 8,000,000 generations, and nodal support was assessed by posterior probabilities estimated from the final 75% (60,000) sampled trees.