Research article - Peer-reviewed, 2007
Transcript profiling of a conifer pathosystem: response of Pinus sylvestris root tissues to pathogen (Heterobasidion annosum) invasion
Adomas, Aleksandra; Heller, Gregory; Li, Guosheng; Olson, Åke; Stenlid, Jan; Finlay, Roger; Asiegbu, FrederickAbstract
The mechanisms underlying defence reactions to a pathogen attack, though well studied in crop plants, are poorly understood in conifers. To analyze changes in gene tran- script abundance in Pinus sylvestris L. root tissues infected by Heterobasidion annosum (Fr.) Bref. s.l., a cDNA microarray containing2109ESTsfromP.taedaL.wasused.Mixedmodel statistical analysis identified 179 expressed sequence tags dif- ferentially expressed at 1, 5 or 15 days post inoculation. In gen- eral, the total number of genes differentially expressed during the infection increased over time. The most abundant group of genes up-regulated upon infection coded for enzymes involved in metabolism ( phenylpropanoid pathway) and defence-re- lated proteins with antimicrobial properties. A class III peroxidase responsible for lignin biosynthesis and cell wall thickening had increased transcript abundance at all measure- ment times. Real-time RT-PCR verified the microarray results with high reproducibility. The similarity of the expression pro- filing pattern observed in this pathosystem to those docu- mented in crop pathology suggests that angiosperms and gym- nosperms use similar genetic programs in responding to inva- sive growth by microbial pathogens.Published in
Tree Physiology2007, volume: 27, number: 10, pages: 1441-1458
Authors' information
Adomas, Aleksandra
Swedish University of Agricultural Sciences, Department of Forest Mycology and Pathology
Heller, Gregory
Swedish University of Agricultural Sciences, Department of Forest Mycology and Pathology
Li, Guosheng
Swedish University of Agricultural Sciences, Department of Forest Mycology and Pathology
Swedish University of Agricultural Sciences, Department of Forest Mycology and Pathology
Swedish University of Agricultural Sciences, Department of Forest Mycology and Plant Pathology
Swedish University of Agricultural Sciences, Department of Forest Mycology and Pathology
Asiegbu, Frederick
Swedish University of Agricultural Sciences, Department of Forest Mycology and Pathology
UKÄ Subject classification
Microbiology
Genetics
Bioinformatics and Systems Biology
Publication Identifiers
DOI: https://doi.org/10.1093/treephys/27.10.1441
URI (permanent link to this page)
https://res.slu.se/id/publ/38962