Molecular approaches for inferring evolutionary relationships among protistan parasites.
Within the diverse group of parasites broadly recognized as protists, there are limited morphological characters that can be used to distinguish species and even fewer characters that can infer evolutionary relationships among species. For this reason, molecular data are commonly used to infer relationships among species and strains. These studies most commonly rely on sequences associated with the ribosomal RNA genes but increasingly other nuclear, mitochondrial or plastid genes are contributing data. Molecular systematics has been invaluable in expanding the range of characters that are available for inferring relationships among protistan taxa. As an adjunct to morphological characters, sequence data allow us to better understand the evolutionary history of this group of parasites and thereby erect a well-supported taxonomic framework that reflects these historical relationships. Importantly, the predictive nature of such a framework can aid the search for therapeutic compounds (e.g. via shared biochemical pathways) and highlight organisms that should be tested for cross-reactivity in immunological or molecular diagnostic methods (e.g. use of the closest relatives to assess test specificity). For emergent and poorly known parasites, molecular characterization and placement within the broader phylogenetic framework can help predict likely life history traits, including possible or likely definitive hosts.
Barta
J R
JR
Department of Pathobiology, University of Guelph, Guelph, Ontario N1G 2W1, Canada. jbarta@uoguelph.ca
D000818:Animals; D016782:Apicomplexa / Q000145:classification / Q000235:genetics; D003044:Coccidia / Q000145:classification / Q000235:genetics; D003458:Cryptosporidium / Q000145:classification / Q000235:genetics; D056890:Eukaryota / Q000145:classification* / Q000235:genetics; D019143:Evolution, Molecular; D020459:Genes, rRNA / Q000235:genetics; D006790:Host-Parasite Interactions / Q000235:genetics; D008967:Molecular Biology; D008969:Molecular Sequence Data; D010802:Phylogeny; D016133:Polymerase Chain Reaction / Q000662:veterinary; D017422:Sequence Analysis, DNA; D013045:Species Specificity