Dataset Information

Transcriptome analysis of potato tubers: Effects of different agricultural practices

ABSTRACT: The use of profiling techniques such as transcriptomics, proteomics, and metabolomics has been proposed to improve the detection of side effects of plant breeding processes. This paper describes the construction of a food safety-oriented potato cDNA microarray (FSPM). Microarray analysis was performed on a well-defined set of tuber samples of two different potato varieties, grown under different, well-recorded environmental conditions. Data were analyzed to assess the potential of transcriptomics to detect differences in gene expression due to genetic differences or environmental conditions. The most pronounced differences were found between the varieties Sante and Lady Balfour, whereas differences due to growth conditions were less significant. Transcriptomics results were confirmed by quantitative PCR. Furthermore, the bandwidth of natural variation of gene expression was explored to facilitate biological and/or toxicological evaluation in future assessments. Keywords: experiment with factorial design factorial design; 2 potato cultivars (Sante, Lady Balfour); 2 fertilizers (dairy manure compost, chicken manure pellets); 3 plant protection treatments (copper oxychloride, comcat, water), 3 biological replicates, 48 samples

ORGANISM(S): Solanum tuberosum

SUBMITTER: Jeroen van Dijk Kok J Esther Jeroen P van Dijk Katarina Cankar

PROVIDER: E-GEOD-11875 | ArrayExpress | 2009-02-01

SECONDARY ACCESSION(S): GSE11875PRJNA105687

REPOSITORIES: GEO, ArrayExpress

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Transcriptome analysis of potato tubers--effects of different agricultural practices.

van Dijk Jeroen P JP Cankar Katarina K Scheffer Stanley J SJ Beenen Henriek G HG Shepherd Louise V T LV Stewart Derek D Davies Howard V HV Wilkockson Steve J SJ Leifert Carlo C Gruden Kristina K Kok Esther J EJ

Journal of agricultural and food chemistry 20090201 4

The use of profiling techniques such as transcriptomics, proteomics, and metabolomics has been proposed to improve the detection of side effects of plant breeding processes. This paper describes the construction of a food safety-oriented potato cDNA microarray (FSPM). Microarray analysis was performed on a well-defined set of tuber samples of two different potato varieties, grown under different, well-recorded environmental conditions. Data were analyzed to assess the potential of transcriptomic ...[more]

PMID: 19173602

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Project description:BACKGROUND: Phytophthora infestans, causing late blight in potato, remains one of the most devastating pathogens in potato production and late blight resistance is a top priority in potato breeding. The introduction of multiple resistance (R) genes with different spectra from crossable species into potato varieties is required. Cisgenesis is a promising approach that introduces native genes from the crops own gene pool using GM technology, thereby retaining favourable characteristics of established varieties. RESULTS: We pursued a cisgenesis approach to introduce two broad spectrum potato late blight R genes, Rpi-sto1 and Rpi-vnt1.1 from the crossable species Solanum stoloniferum and Solanum venturii, respectively, into three different potato varieties. First, single R gene-containing transgenic plants were produced for all varieties to be used as references for the resistance levels and spectra to be expected in the respective genetic backgrounds. Next, a construct containing both cisgenic late blight R genes (Rpi-vnt1.1 and Rpi-sto1), but lacking the bacterial kanamycin resistance selection marker (NPTII) was transformed to the three selected potato varieties using Agrobacterium-mediated transformation. Gene transfer events were selected by PCR among regenerated shoots. Through further analyses involving morphological evaluations in the greenhouse, responsiveness to Avr genes and late blight resistance in detached leaf assays, the selection was narrowed down to eight independent events. These cisgenic events were selected because they showed broad spectrum late blight resistance due to the activity of both introduced R genes. The marker-free transformation was compared to kanamycin resistance assisted transformation in terms of T-DNA and vector backbone integration frequency. Also, differences in regeneration time and genotype dependency were evaluated. CONCLUSIONS: We developed a marker-free transformation pipeline to select potato plants functionally expressing a stack of late blight R genes. Marker-free transformation is less genotype dependent and less prone to vector backbone integration as compared to marker-assisted transformation. Thereby, this study provides an important tool for the successful deployment of R genes in agriculture and contributes to the production of potentially durable late blight resistant potatoes.