title: Distinguishing plant and fungal sequences in ESTs from infected plant tissues.
abstract: Expressed sequence tags (ESTs) from fungal-infected plant tissues are composed of a mixture of plant and fungal sequences. Using freely available software and tools, a novel procedure is described for distinguishing plant and fungal DNA sequences. Although the GenBank non-redundant (NR) database is larger and therefore one would presume that BLASTX analysis of it would be more accurate, superior resolution of 700 randomly selected fungal ESTs was found with Standalone TBLASTX analyses with a local matching database composed of a plant and a fungal genome. Standalone TBLASTX analyses of 3,983 ESTs from nine different fungal-infected plant EST libraries also proved to be superior in identifying the origin of sequences as either plant or fungal compared to GenBank BLASTX analysis. Standalone TBLASTX with a matching database comprised of a single plant and a single fungal genome appears to be a faster and more accurate method than BLASTX searches of the GenBank non-redundant database to distinguish fungal and plant sequences in mixed EST collections.
authors.affiliation: Department of Environmental Biology, University of Guelph, Guelph, Ontario, Canada N1G 2W1. thsiang@uoguelph.ca
authors.forename: Tom
authors.initials: T
authors.lastname: Hsiang
authors.forename: Paul H
authors.initials: PH
authors.lastname: Goodwin
mesh_terms: D004271:DNA, Fungal / Q000737:chemistry / Q000145:classification / Q000235:genetics*; D018744:DNA, Plant / Q000737:chemistry / Q000145:classification / Q000235:genetics*; D030561:Databases, Nucleic Acid; D020224:Expressed Sequence Tags; D008969:Molecular Sequence Data; D010935:Plant Diseases / Q000235:genetics / Q000382:microbiology*
chemical_list: D004271:DNA, Fungal; D018744:DNA, Plant