The two fungicides azoxystrobin and fenpropimorph are used against powdery mildew and rust diseases in wheat (Triticum aestivumL). Azoxystrobin, a strobilurin, inhibits fungal mitochondrial respiration and fenpropimorph, a morpholin, represses biosynthesis of ergosterol, the major sterol of fungal membranes. Although the fungitoxic activity of these compounds is well understood, their effects on plant metabolism remain unclear. In contrast to the fungicides which directly affect pathogen metabolism, benzo(1,2,3) thiadiazole-7-carbothioic acid S-methylester (BTH) induces resistance against wheat pathogens by the activation of systemic acquired resistance in the host plant. In this study, we monitored gene expression in spring wheat after treatment with each of these agrochemicals in a greenhouse trial using a microarray containing 600 barley cDNA clones. Defence-related genes were strongly induced after treatment with BTH, confirming the activation of a similar set of genes as in dicot plants following salicylic acid treatment. A similar gene expression pattern was observed after treatment with fenpropimorph and some defence-related genes were induced by azoxystrobin, demonstrating that these fungicides also activate a defence reaction. However, less intense responses were triggered than with BTH. The same experiments performed under field conditions gave dramatically different results. No gene showed differential expression after treatment and defence genes were already expressed at a high level before application of the agrochemicals. These differences in the expression patterns between the two environments demonstrate the importance of plant growth conditions for testing the impact of agrochemicals on plant metabolism.

In wheat, herbicides are used to control weeds. Little is known about the changes induced in the metabolism of tolerant plants after herbicide treatment. The impact of three herbicides [2,4-dichlorophenoxyacetic acid (2,4-D), cinidon-ethyl and tribenuron-methyl] on the wheat transcriptome was studied using cDNA microarrays. Gene expression of plants grown in a controlled environment or in the field was studied between 24 h and 2 weeks after treatment. Under controlled conditions, 2,4-D induced genes of the phenylpropanoid pathway soon after treatment. Cinidon-ethyl triggered peroxidase and defence-related gene expression under controlled conditions, probably because reactive oxygen species are released by photo-oxidation of protoporphyrin-IX. The same genes were upregulated in the field as under controlled conditions, albeit at a weaker level. These results show that cinidon-ethyl specifically induces genes involved in plant defence. Under controlled conditions, tribenuron-methyl did not change the expression profile immediately after treatment, but defence-related genes were upregulated after 1 week. Sulfonylurea compounds such as tribenuron-methyl specifically inhibit acetolactate synthase and are rapidly detoxified, but the activity of some of the resulting metabolites could explain later changes in gene expression. Finally, overexpression of the isopropylmalate synthase gene, involved in branched-chain amino acid synthesis, and of defence-related genes was observed in the field after sulfonylurea treatment.

No abstract

We have developed a microarray for identification of sweet cherry incompatibility alleles. Using intron sequence information of the S-RNase gene, we have created a microarray chip that allows the specific recognition of the incompatibility alleles present in a cultivar. Most of the probes designed showed high specificity towards their alleles. In the original set of probes, cross-hybridization was observed between a few alleles with high sequence similarity. As our identification system is based on the combined hybridization information from both introns, we were able to identify false positive and unspecific probes which could be eliminated from our microarray. The optimized microarray was tested on cultivars with known alleles. The chip correctly identified all alleles tested. Furthermore, it was also possible to identify alleles in other cultivars where, so far, only one allele has been determined and also to determine in sour cherry the alleles originating from the sweet cherry parent. Our results demonstrate the great promise of microarray technology for this novel application.

Microarrays offer virtually unlimited diagnostics capability, and have already been developed into diagnostic chips for many different plant pests. The full capacity of such chips, however, has lagged far behind their full potential. The main reason for this is that current chip design relies on a priori genetic information for target organisms and on a consensus on the genetic sequences to be used in particular organism groups. Such information is often unavailable and laborious to obtain. Thus, broad‐application diagnostic microarrays have been limited to narrow organism groups focused on Genera of pests/pathogens or those affecting individual host crops, without applicability for simultaneous detection of diverse pests affecting many crops. This paper describes the development of a diagnostic microarray platform that has universal application based on genomic fingerprinting of any organism without a need for a priori sequence information. Taxon‐specific hybridization patterns are obtained by unique hybridisation of genomic DNA to 100s–1000s of short random oligonucleotide probes. Taxon identification is then achieved by comparison of hybridisation patterns from an unknown sample against a reference‐pattern database. Using bacteria as a model pathogen group, these methods deliver highly reproducible hybridisation patterns with high resolution power and enable discrimination at the species and subspecies level.