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Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
Published on: January 13, 2016
Transcript profiles of Blumeria graminis development during infection reveal a cluster of genes that are potential
Maike Both1, Sabine E Eckert, Michael Csukai
1Department of Biological Sciences, Imperial College London, London, UK.
Abstract:
High-density cDNA microarrays (2,027 unigenes) were used to analyze transcript profiles of the plant-pathogenic fungus Blumeria graminis f. sp. hordei throughout its asexual life cycle and development of infection. RNA was obtained from four stages preceding penetration and four stages after penetration of the host cells. The microarray data was validated by comparing the expression of a plasma membrane H+-ATPase and fructose-1,6-bis phosphatase with the data obtained from a quantitative polymerase chain reaction (PCR) assay. The results showed that there was a global switch in expression between the pre- and postpenetrative stages. This was largely due to accumulation of RNA encoding protein biosynthesis genes in the late stages. Other functional clusters, such as virulence-related genes and sterol metabolism genes, are up-regulated in pre- and postpenetration stages, respectively. A group of RNAs whose abundance correlated with the expression of cap20, a gene known to be required for virulence in Colletotrichum gloeosporioides, identified genes that are strong candidates for pathogenicity factors in B. graminis.
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