Unknown,Transcriptomics,Genomics,Proteomics

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Microarray analysis of Lycopersicon esculentum plants subjected to tomato spotted wilt virus inoculation, western flower thrips infestation and a combination of virus and thrips

ABSTRACT: In the current study, we sought to elucidate the plant-mediated mechanisms underlying the interaction between TSWV and its insect vector, F. occidentalis in the plant host, tomato, Solanum lycopersicum L. We performed replicated greenhouse and laboratory experiments to confirm that TSWV altered vector performance and behavior in ways that improved virus transmission. To characterize plant molecular mechanisms, microarray analysis was done in tomato plants that were systemically-infected with TSWV, infested with thrips, or both TSWV and thrips using Affymetrix Tomato GeneChip®. The tomato microarray chip includes many defense- and stress-related genes and genes related to chloroplast function, cell wall modification, and protein synthesis which we hypothesized would be involved in TSWV-vector interaction.

ORGANISM(S): Solanum lycopersicum

SUBMITTER: Punya Nachappa

PROVIDER: E-MTAB-9294 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Gene-to-gene coexpression analysis is a powerful approach to infer function of uncharacterized genes. To perform non-targeted coexpression analysis of tomato genes, we collected a developmental gene expression dataset using various tissues of tomato plant. Expression data are collected from 24 different tissue types including root, hypocotyl, cotyledon, leaf at different stages, and fruit tissues at 4 different ripening stages from 4 different Solanum lycopersicum cultivars. Fruits were separated to the flesh and the peel. These two tissue types indeed showed remarkably different gene expression profiles. We also collected data from 4 different ripening stages (mature green, yellow, orange, and red) to detail the changes during ripening. By using this gene expression dataset, we calculated pair-wise Pearsonâs correlation coefficients, and performed network-based coexpression analysis. The analysis generated a number of coexpression modules, some of which showed an enrichment of genes associated with specific functional categories. This result will be useful in inferring functions of uncharacterized tomato genes, and in prioritizing genes for further experimental analysis. We used Affymetrix GeneChip Tomato genome Arrays to detail the global gene expression change using 24 different tomato tissue types (67 hybridizations). We collected gene expression data from 24 different tomato tissue types using 67 hybridizations. Root, hypocotyl, cotyledon, and leaf were sampled from 3-week-old or 5-weekâold plant of Solanum lycopersicum cultivar Micro-Tom. Fruit tissues were sampled from S. lycopersicum cultivars Micro-Tom, Anthocyanin fruit (Aft, LA1996), Line27859, and Momotaro 8 (Takii, Japan). From Micro-Tom fruit, the peel and the flesh were separately sampled from 4 different ripening stages: mature green (MG, approximately 30 day after anthesis), yellow (Y, approximately 35 days after anthesis), orange (O, approximately 38-40 days after anthesis), and red (R, approximately 45-48 days after anthesis). From fruits of Aft and Line27859, the peel and the flesh were sampled at mature green (MG, approximately 40 days after anthesis) and red (R, approximately 50-55 days after anthesis) stages. From Momotaro 8, the peel and the flesh were sampled at red (R, 50- approximately 50-55 days after anthesis) stages. For each tissue type, 2-4 biological replicates were made in RNA preparation.

Project description:An intriguing new paradigm in plant biology is that systemically-mobile mRNAs play a role in coordinating development. In this process, specific mRNAs are loaded into the phloem transport stream for translocation to distant tissues, where they may impact developmental processes. However, despite its potential significance for plant growth regulation, mRNA trafficking remains poorly understood and challenging to study. Here we show that phloem-mobile mRNAs can also traffic between widely divergent species from a host to the plant parasite, lespedeza dodder (Cuscuta pentagona Engelm.). Reverse transcriptase PCR (RT-PCR) and microarray analysis were used to detect specific tomato transcripts in dodder grown on tomato (Lycopersicon esculentum Mill.) that were not present in control dodder grown on other host species. The foreign transcripts included LeGAI, which has been previously shown to be translocated in the phloem, as well as nine other transcripts not reported to be mobile. Dodders are parasitic plants that obtain resources by drawing from the phloem of a host plant, and have joint plasmodesmata with host cortical cells. Although viruses are known to move between dodder and its hosts, translocation of endogenous plant mRNA has not been reported. These results point to a potentially new level of interspecies communication, and raise questions about the ability of parasites to recognize, use, and respond to transcripts acquired from their hosts. Experiment Overall Design: In order to identify potential tomato transcripts in dodder, microarray analysis was performed on RNA from dodder and hosts. Total RNA was extracted from the tomato host and from dodder grown on tomato, Arabidopsis, tobacco, or pumpkin. The host tomato RNA was included to verify that any transcripts detected in the parasite were in fact expressed in the host. The dodder samples grown on tobacco, Arabidopsis, and pumpkin served as controls for dodder genes that may cross-hybridize with tomato array probes, with three different host species used to minimize any host-specific effects on dodder gene expression. Samples were analyzed using the Affymetrix GeneChip Tomato Array and transcripts scored for presence or absence in each sample. Considering that host transcripts present in dodder would be at low levels and diluted with dodder transcripts, a P-value of 0.06 in at least two of three biological replicates was used as the threshold for scoring a transcript as being present.

Project description:Transcriptomic analysis in response to Botrytis cinerea infections under conrasting nitrate regime Nitrogen (N) is one of the main limiting nutrients for plant growth and crop yield. It is well documented that changes in nitrate availability, the main N source found in agricultural soils, influences a myriad of developmental programs and processes including the plant defense response. Indeed, many agronomical reports indicate that the plant N nutritional status influences their ability to respond effectively when challenged by different pathogens. However, the molecular mechanisms involved in N-modulation of plant susceptibility to pathogens are poorly characterized. In this work, we show that Solanum lycopersicum defense response to the necrotrophic fungus Botrytis cinerea is affected by plant N availability, with higher susceptibility in nitrate-limiting conditions. Global gene expression responses of tomato against B. cinerea under contrasting nitrate conditions reveals that plant primary metabolism is affected by the fungal infection regardless of N regimes. This result suggests that differential susceptibility to pathogen attack under contrasting N conditions is not only explained by a metabolic alteration. We used a systems biology approach to identify the transcriptional regulatory network implicated in plant response to the fungus infection under contrasting nitrate conditions. Interestingly, hub genes in this network are known key transcription factors involved in ethylene and jasmonic acid signaling. This result positions these hormones as key integrators of nitrate and defense against B. cinerea in tomato plants. Our results provide insights into potential crosstalk mechanisms between necrotrophic defense response and N status in plants. To better understand the molecular changes underlying the impact of nitrate availability on plant susceptibility to B. cinerea, we performed plant transcriptome profiling assays on mock-treated (3 biological replicates) and infected plants ( 3 biological replicates) grown under three N conditions, using GeneChip Tomato Genome Arrays (Affymetrix).

Dataset Information

Microarray analysis of Lycopersicon esculentum plants subjected to tomato spotted wilt virus inoculation, western flower thrips infestation and a combination of virus and thrips

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