Dataset Information

UV-B signaling in maize: transcriptomic and metabolomic studies at different irradiation times.

ABSTRACT: Plants have evolved adaptations to environmental factors, including UV-B present in solar radiation. Deployment of specific adaptive phenotypes to avoid or repair UV-B damage requires physiological and developmental acclimation to variable UV-B fluence. To gain a better understanding of the events in UV-B acclimation, we have analyzed a 5min to 6h time course of transcriptome and metabolome responses in irradiated and shielded leaves and in immature maize ears to unravel the systemic physiological and developmental responses in exposed and shielded organs. Within 10 min of UV-B exposure, transcripts are changed not only in irradiated leaves, but also in shielded tissues. The number of UV-B-regulated transcripts rapidly increases with exposure length. Interestingly, after 10 min of exposure, the overlap in transcriptome changes in irradiated and shielded organs is significant; while, after 6h of UV-B, most transcripts are specific for each tissue under study. We suggest that early events in all tissues may be elicited by common signaling pathways, while at longer exposure times responses become more organ-specific. Our working hypothesis is that mobile signaling molecules are generated in irradiated organs to elicit the initial responses. We found several metabolites that rapidly change after different treatments during the timecourse; myoinositol is one candidate metabolite based on its rapid modulation in all organs. There is also support from RNA profiling: after 1h UV-B, transcripts for myoinositol-1-phosphate synthase are decreased in both irradiated and shielded leaves suggesting downregulation of biogenesis.

SUBMITTER: Casati P

PROVIDER: S-EPMC3337180 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

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UV-B signaling in maize: transcriptomic and metabolomic studies at different irradiation times.

Casati Paula P Morrow Darren J DJ Fernandes John F JF Walbot Virginia V

Plant signaling & behavior 20111201 12

Plants have evolved adaptations to environmental factors, including UV-B present in solar radiation. Deployment of specific adaptive phenotypes to avoid or repair UV-B damage requires physiological and developmental acclimation to variable UV-B fluence. To gain a better understanding of the events in UV-B acclimation, we have analyzed a 5min to 6h time course of transcriptome and metabolome responses in irradiated and shielded leaves and in immature maize ears to unravel the systemic physiologic ...[more]

PMID: 22105027

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Project description:Seed aging during storage is irreversible, and a rapid, accurate detection method for seed vigor detection during seed aging is of great importance for seed companies and farmers. In this study, an artificial accelerated aging treatment was used to simulate the maize kernel aging process, and hyperspectral imaging at the spectral range of 874?1734 nm was applied as a rapid and accurate technique to identify seed vigor under different accelerated aging time regimes. Hyperspectral images of two varieties of maize processed with eight different aging duration times (0, 12, 24, 36, 48, 72, 96 and 120 h) were acquired. Principal component analysis (PCA) was used to conduct a qualitative analysis on maize kernels under different accelerated aging time conditions. Second-order derivatization was applied to select characteristic wavelengths. Classification models (support vector machine-SVM) based on full spectra and optimal wavelengths were built. The results showed that misclassification in unprocessed maize kernels was rare, while some misclassification occurred in maize kernels after the short aging times of 12 and 24 h. On the whole, classification accuracies of maize kernels after relatively short aging times (0, 12 and 24 h) were higher, ranging from 61% to 100%. Maize kernels with longer aging time (36, 48, 72, 96, 120 h) had lower classification accuracies. According to the results of confusion matrixes of SVM models, the eight categories of each maize variety could be divided into three groups: Group 1 (0 h), Group 2 (12 and 24 h) and Group 3 (36, 48, 72, 96, 120 h). Maize kernels from different categories within one group were more likely to be misclassified with each other, and maize kernels within different groups had fewer misclassified samples. Germination test was conducted to verify the classification models, the results showed that the significant differences of maize kernel vigor revealed by standard germination tests generally matched with the classification accuracies of the SVM models. Hyperspectral imaging analysis for two varieties of maize kernels showed similar results, indicating the possibility of using hyperspectral imaging technique combined with chemometric methods to evaluate seed vigor and seed aging degree.

Dataset Information

UV-B signaling in maize: transcriptomic and metabolomic studies at different irradiation times.

Publications

UV-B signaling in maize: transcriptomic and metabolomic studies at different irradiation times.

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