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Transcriptome Analysis of Quantitative Resistance-Specific Response upon Ralstonia solanacearum Infection in Tomato

Overview of attention for article published in PLOS ONE, October 2012
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Title
Transcriptome Analysis of Quantitative Resistance-Specific Response upon Ralstonia solanacearum Infection in Tomato
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046763
Pubmed ID
Authors

Takeaki Ishihara, Ichiro Mitsuhara, Hideki Takahashi, Kazuhiro Nakaho

Abstract

Bacterial wilt, caused by the soil-borne bacterium Ralstonia solanacearum, is a lethal disease of tomato, but the molecular mechanisms of the host resistance responses to R. solanacearum remain unclear. In this study, we report the first work describing the transcriptome of cultivar resistance and susceptible tomato cultivar after inoculation with R. solanacearum. To elucidate the characteristics of resistance early in the interaction, we analyzed microarrays for resistant cultivar LS-89 and susceptible cultivar Ponderosa 1 day after stem inoculation. No change in gene expression was detected for Ponderosa, but expression levels of over 140 genes, including pathogenesis-related, hormone signaling and lignin biosynthesis genes, increased in LS-89. Expression of β-1,3-glucanase genes increased substantially. In an immunohistochemical study, glucanase in LS-89 accumulated in the xylem and pith tissues surrounding xylem vessels filled with R. solanacearum. The expression of these genes also increased in four other resistant cultivars, but changed little in four susceptible cultivars in response to R. solanacearum, suggesting that similar reactions occur in other cultivars. These gene expression profiles will serve as fundamental information to elucidate the molecular mechanisms in the resistance response to R. solanacearum in tomato.

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The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 <1%
Germany 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 25%
Researcher 22 19%
Student > Master 17 15%
Student > Bachelor 11 9%
Student > Doctoral Student 5 4%
Other 13 11%
Unknown 19 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 63%
Biochemistry, Genetics and Molecular Biology 12 10%
Medicine and Dentistry 2 2%
Immunology and Microbiology 2 2%
Environmental Science 1 <1%
Other 4 3%
Unknown 22 19%