Dataset Information

Tissue-specific expression of a defence-related peroxidase in transgenic wheat potentiates cell death in pathogen-attacked leaf epidermis.

ABSTRACT: Gene technology can offer creative solutions to problems of agronomical relevance, which may not be solved by conventional breeding methods. One of the major problems of wheat cultivation is disease caused by a number of fungal pathogens including the wheat powdery mildew fungus Blumeria graminis f.sp. tritici (Bgt). Transgenic wheat plants that constitutively express the coding sequence of the defence-related wheat peroxidase TaPrx103 (previously TaPERO) in shoot epidermis under the control of the wheat GstA1 promoter were generated and found to exhibit enhanced resistance to Bgt (Altpeter et al., Plant. Mol. Biol. 57, 271-283). Here, I report on physiological and molecular analyses of these plants in order to assess the mode of action of the peroxidase encoded by the TaGstA1:TaPrx103 transgene. Epidermal cells of transgenic lines with enhanced resistance were found to respond to Bgt attack more frequently with hypersensitive cell death and the generation of hydrogen peroxide. By contrast, resistance of epidermal cell walls to degradation by fungal enzymes appeared to be similar in transgenic and wild-type plants. Moreover, the analysis of the abundance of approximately 10,000 wheat transcripts revealed no significant effect of the GstA1i:TaPrx103 transgene on host gene expression in non-inoculated leaves and only a marginal effect in Bgt-challenged leaves, compared with wild-type plants treated in the same manner. The results indicate that the TaPrx103 protein is involved in generating reactive oxygen species specifically in pathogen-attacked cells, which may lead to localized cell death and resistance. I therefore suggest that the transgenic plants presented here can be regarded as substantially equivalent to non-transgenic wheat.

SUBMITTER: Schweizer P

PROVIDER: S-EPMC6640441 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature

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Tissue-specific expression of a defence-related peroxidase in transgenic wheat potentiates cell death in pathogen-attacked leaf epidermis.

Schweizer Patrick P

Molecular plant pathology 20080101 1

Gene technology can offer creative solutions to problems of agronomical relevance, which may not be solved by conventional breeding methods. One of the major problems of wheat cultivation is disease caused by a number of fungal pathogens including the wheat powdery mildew fungus Blumeria graminis f.sp. tritici (Bgt). Transgenic wheat plants that constitutively express the coding sequence of the defence-related wheat peroxidase TaPrx103 (previously TaPERO) in shoot epidermis under the control of ...[more]

PMID: 18705883

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Project description:The stomatal index of the leaf is the ratio of the number of stomata to the total number of stomata and epidermal cells. Comparing with the stomatal density, the stomatal index is relatively constant in environmental conditions and the age of the leaf and, therefore, of diagnostic characteristics for a given genotype or species. Traditional assessment methods involve manual counting of the number of stomata and epidermal cells in microphotographs, which is labor-intensive and time-consuming. Although several automatic measurement algorithms of stomatal density have been proposed, no stomatal index pipelines are currently available. The main aim of this research is to develop an automated stomatal index measurement pipeline. The proposed method employed Faster regions with convolutional neural networks (R-CNN) and U-Net and image-processing techniques to count stomata and epidermal cells, and subsequently calculate the stomatal index. To improve the labeling speed, a semi-automatic strategy was employed for epidermal cell annotation in each micrograph. Benchmarking the pipeline on 1,000 microscopic images of leaf epidermis in the wheat dataset (Triticum aestivum L.), the average counting accuracies of 98.03 and 95.03% for stomata and epidermal cells, respectively, and the final measurement accuracy of the stomatal index of 95.35% was achieved. R 2 values between automatic and manual measurement of stomata, epidermal cells, and stomatal index were 0.995, 0.983, and 0.895, respectively. The average running time (ART) for the entire pipeline could be as short as 0.32 s per microphotograph. The proposed pipeline also achieved a good transferability on the other families of the plant using transfer learning, with the mean counting accuracies of 94.36 and 91.13% for stomata and epidermal cells and the stomatal index accuracy of 89.38% in seven families of the plant. The pipeline is an automatic, rapid, and accurate tool for the stomatal index measurement, enabling high-throughput phenotyping, and facilitating further understanding of the stomatal and epidermal development for the plant physiology community. To the best of our knowledge, this is the first deep learning-based microphotograph analysis pipeline for stomatal index assessment.

Dataset Information

Tissue-specific expression of a defence-related peroxidase in transgenic wheat potentiates cell death in pathogen-attacked leaf epidermis.

Publications

Tissue-specific expression of a defence-related peroxidase in transgenic wheat potentiates cell death in pathogen-attacked leaf epidermis.

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