Ophiostoma haidaense, sp. nov., a new member of the O. piceae species complex associated with yellow-cedar, Callitropsis nootkatensis.

Ophiostoma haidanensis is described as a new species of the Ophiostoma piceae complex isolated from yellow-cedar (Callitropsis nootkatensis (D. Don) Oerst. ex D.P. Little) sapwood in the Haida Gwaii island archipelago and the North Coast of British Columbia, Canada. The fungus is characterized by the production of a typical sporothrix-like asexual morph but is distinguished morphologically from other members of the O. piceae species complex by its large, multiseptate primary conidia. Phylogenetic analysis of DNA sequences from the nuc rDNA internal transcribed spacer region ITS1-5.8S-ITS2 (ITS) and the ß-tubulin (BTUB) and translation elongation factor 1-α (TEF1) genes supports the inclusion of O. haidensis as a distinct member within the O. piceae complex. To our knowledge, this is the first report of a blue stain fungus infecting yellow-cedar, an ecologically, culturally, and economically important conifer naturally distributed along the coastal forests of the Pacific Northwest in North America.

Genome sequences of three genetic lineages of the fungus Nothophaeocryptopus gaeumannii, the causal agent of Swiss needle cast on Douglas-fir trees.

Here, we present the nearly complete genome sequences of the three main genetic lineages of Nothophaeocryptopus gaeumannii, an endophytic ascomycete fungus responsible for Swiss needle cast, a foliar disease that is emerging as a significant threat to the Douglas-fir tree in its natural distribution range.

DNA-Barcoding Identification of Plant Pathogens for Disease Diagnostics.

The accurate identification of plant pathogens is a critical step to prevent their spread and attenuate their impact. Among the wide range of methods available, DNA-barcoding, i.e., the identification of an organism through the PCR amplification and sequencing of a single locus, remains one of the most straightforward and accurate plant-pathogen identification techniques that can be used in a generic molecular biology lab. This chapter provides a detailed protocol for the isolation of genomic DNA of fungal and oomycete pathogens from fresh field samples and the amplification and sequencing of the internal transcribed spacer (ITS) locus for DNA-barcoding purpose. Amendments to the protocol are provided to help in resolving issues related to the analysis of complicated samples and to the lack of species resolution that can be encountered with ITS barcodes.

Genome-Enhanced Detection and Identification (GEDI) of plant pathogens.

Plant diseases caused by fungi and Oomycetes represent worldwide threats to crops and forest ecosystems. Effective prevention and appropriate management of emerging diseases rely on rapid detection and identification of the causal pathogens. The increase in genomic resources makes it possible to generate novel genome-enhanced DNA detection assays that can exploit whole genomes to discover candidate genes for pathogen detection. A pipeline was developed to identify genome regions that discriminate taxa or groups of taxa and can be converted into PCR assays. The modular pipeline is comprised of four components: (1) selection and genome sequencing of phylogenetically related taxa, (2) identification of clusters of orthologous genes, (3) elimination of false positives by filtering, and (4) assay design. This pipeline was applied to some of the most important plant pathogens across three broad taxonomic groups: Phytophthoras (Stramenopiles, Oomycota), Dothideomycetes (Fungi, Ascomycota) and Pucciniales (Fungi, Basidiomycota). Comparison of 73 fungal and Oomycete genomes led the discovery of 5,939 gene clusters that were unique to the targeted taxa and an additional 535 that were common at higher taxonomic levels. Approximately 28% of the 299 tested were converted into qPCR assays that met our set of specificity criteria. This work demonstrates that a genome-wide approach can efficiently identify multiple taxon-specific genome regions that can be converted into highly specific PCR assays. The possibility to easily obtain multiple alternative regions to design highly specific qPCR assays should be of great help in tackling challenging cases for which higher taxon-resolution is needed.

Horizontal gene transfer and gene dosage drives adaptation to wood colonization in a tree pathogen.

Some of the most damaging tree pathogens can attack woody stems, causing lesions (cankers) that may be lethal. To identify the genomic determinants of wood colonization leading to canker formation, we sequenced the genomes of the poplar canker pathogen, Mycosphaerella populorum, and the closely related poplar leaf pathogen, M. populicola. A secondary metabolite cluster unique to M. populorum is fully activated following induction by poplar wood and leaves. In addition, genes encoding hemicellulose-degrading enzymes, peptidases, and metabolite transporters were more abundant and were up-regulated in M. populorum growing on poplar wood-chip medium compared with M. populicola. The secondary gene cluster and several of the carbohydrate degradation genes have the signature of horizontal transfer from ascomycete fungi associated with wood decay and from prokaryotes. Acquisition and maintenance of the gene battery necessary for growth in woody tissues and gene dosage resulting in gene expression reconfiguration appear to be responsible for the adaptation of M. populorum to infect, colonize, and cause mortality on poplar woody stems.

Detection of Elm Yellows Phytoplasma in Elms and Insects Using Real-Time PCR.

A rapid and accurate method to detect the common strain of elm yellows (EY) phytoplasma in elm and insect samples was developed using a real-time polymerase chain reaction (PCR) procedure based on the TaqMan minor-groove-binder probe. Primers and probe were designed based on the EY phytoplasma-specific translocation protein secY gene DNA sequence. Success of the DNA extraction procedure was evaluated by amplifying the chloroplast trnL gene of Ulmus americana. The real-time PCR assay reacted positively with EY and EY phytoplasma strain ULW DNA, an isolate which occurs in Europe. It did not cross-react with Illinois EY or aster yellows phytoplasma DNA, both of which are known to occur in elm trees in the United States, nor did it amplify several other phytoplasmas belonging to the 16SrV and other phylogenetic groups. The real-time PCR protocol was used to identify 30 EY-positive elm trees on The Pennsylvania State University, University Park campus. Threshold cycle (CT) values obtained from the EY phytoplasma-infected elm trees ranged from 15 to 37. EY phytoplasma was detected in several leafhopper taxa. This real-time PCR method can be used for the diagnostic screening of elm trees and for the identification of possible insect vectors of EY phytoplasma.