PNNL-13501 - Pacific Northwest National Laboratory
PNNL-13501 - Pacific Northwest National Laboratory
PNNL-13501 - Pacific Northwest National Laboratory
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Plant Root Exudates and Microbial Gene Expression in the Rhizosphere<br />
Study Control Number: PN99056/1384<br />
Mark T. Kingsley<br />
Nucleic acid arrays are widely used in the pharmaceutical industry to provide information on differentially expressed<br />
genes when screening drugs and drug candidate compounds. Nucleic acid, DNA array analyses provide an automatable,<br />
compact, discrete, reproducible format for analyzing genomic information of microbes and higher organisms. Gene chips<br />
are also being developed for the specific identification of organisms by both government and industry. This project<br />
explored the use of an array based on short oligonucleotide targets, for identifying agricultural pathogens by differential<br />
pattern development and recognition.<br />
Project Description<br />
This research involved 1) developing DNA microarray<br />
analytical methods for 16S rRNA from environmental<br />
samples to rapidly identify members of microbial<br />
communities, and 2) genotyping arrays for environmental<br />
organisms and potential food pathogens, and<br />
“fingerprinting” arrays for discriminating closely related<br />
organisms. We are developing fluorescent polymerase<br />
chain reaction analytical methods for agricultural crop<br />
pathogens (Kingsley 2000; Kingsley and Fritz 2000) that<br />
could have the potential to be employed in agricultural<br />
bioterrorism. DNA microarrays offer a unique ability to<br />
provide inexpensive, rapid, and specific identification of<br />
microbes. Since productivity of renewable energy<br />
biomass sources (crop, forest) can be drastically limited<br />
by bacterial, fungal, or viral pathogen attack, rapid<br />
methods for the specific identification of the causitive<br />
agent(s) is desirable. The high density of diagnostic<br />
probes achievable on microarrays provides for a highly<br />
robust analytical tool. The array technology can be<br />
integrated into online analytical devices currently under<br />
development. A goal of this project was to develop<br />
appropriate DNA diagnostic suites of oligonucleotides for<br />
agricultural and forest pathogens. As part of this initial<br />
proof-of-concept demonstration, we tested microarrays<br />
for analysis of bacterial pathogens in the genus<br />
Xanthomonas and fungal pathogens in the genus<br />
Fusarium. Some members of the genus Fusarium, in<br />
addition to leading to crop productivity losses, produce<br />
mycotoxins which are toxic and/or carcinogenic to<br />
humans or animals.<br />
Introduction<br />
The development and use of nucleic acid arrays in<br />
detection, genotyping, and analysis of gene expression, is<br />
increasing rapidly (Behr et al. 1999; Cockerill 1999;<br />
Tao et al. 1999; Westin et al. 2000). Currently, many<br />
groups are developing DNA arrays for microbial<br />
detection and identification. Genetic arrays, once<br />
prototyped and developed, offer extremely robust, yet<br />
relatively inexpensive means (the array itself is cheap) for<br />
identifying organisms. Arrays offer the ability to create<br />
multiplexed (combined) assays providing for the analysis<br />
of multiple targets simultaneously. Exploiting this<br />
powerful analytical tool for analysis of phytopathogens<br />
has not been reported. This project aims to explore the<br />
use of DNA microarrays for differentiating and<br />
identifying various Xanthomonas (bacterial) and<br />
Fusarium (fungal) phytopathogens.<br />
Since agricultural and forest productivity can be<br />
compromised by rhizosphere inhabiting pathogens such as<br />
the Fusarium species, and foliar pathogens such as<br />
Xanthomonas, rapid and sensitive methods for analysis of<br />
seeds, plant tissues, and soils by DNA microarrays offers<br />
the benefit of a highly accurate method of detection and<br />
pathogen identification. Often these pathogens remain<br />
undetected until the plants are symptomatic, which often<br />
is too late. Preventing crop losses due to early pathogen<br />
detection could become an important issue for DOE’s<br />
Bioenergy initiative where the goal is to triple the use of<br />
renewable crops for fuels and feedstock by the year 2010.<br />
Phytopathogen analysis, especially of orgranisms in the<br />
bacterial genus Xanthomonas and the fungal genus<br />
Fusarium would benefit greatly from the power of nucleic<br />
acid array analysis. Numerous clonally derived species<br />
and subspecies are known within both Fusarium and<br />
Xanthomonas. Historically, these organisms were classed<br />
according to their pathogenicity to particular hosts. Issues<br />
of genetic relatedness to other members of the genus that<br />
attacked different hosts were ignored. Only with the<br />
advent and power of nucleic acid analysis have a number<br />
of issues of taxonomic position and relatedness been<br />
Biosciences and Biotechnology 91