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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, Frederick

Abstract

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 Physiology
2007, 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