title: Utilizing Genomics to Study Entomopathogenicity in the Fungal Phylum Entomophthoromycota: A Review of Current Genetic Resources.
abstract: The order Entomophthorales, which formerly contained c.280 species, has recently been recognized as a separate phylum, Entomophthoromycota, consisting of three recognized classes and six families. Many genera in this group contain obligate insect-pathogenic species with narrow host ranges, capable of producing epizootics in natural insect populations. Available sequence information from the phylum Entomophthoromycota can be classified into three main categories: first, partial gene regions (exons+introns) used for phylogenetic inference; second, protein coding gene regions obtained using degenerate primers, expressed sequence tag methodology or de novo transcriptome sequencing with molecular function inferred by homology analysis; and third, primarily forthcoming whole-genome sequencing data sets. Here we summarize the current genetic resources for Entomophthoromycota and identify research areas that are likely to be significantly advanced from the availability of new whole-genome resources.
authors.affiliation: University of Copenhagen, Frederiksberg, Denmark.
authors.forename: H H
authors.initials: HH
authors.lastname: De Fine Licht
authors.affiliation: Cornell University, Ithaca, NY, United States.
authors.forename: A E
authors.initials: AE
authors.lastname: Hajek
authors.affiliation: University of Copenhagen, Frederiksberg, Denmark.
authors.forename: J
authors.initials: J
authors.lastname: Eilenberg
authors.affiliation: University of Copenhagen, Frederiksberg, Denmark.
authors.forename: A B
authors.initials: AB
authors.lastname: Jensen
mesh_terms: D000818:Animals; D005075:Biological Evolution; D005658:Fungi / Q000472:pathogenicity*; D016681:Genome, Fungal; D023281:Genomics / Q000379:methods*; D054884:Host-Pathogen Interactions; D007313:Insecta / Q000382:microbiology*; D010802:Phylogeny
keywords: Basal fungi; Genomics; Host–pathogen genetics; Nonmodel organisms; Transcriptomics