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Identification of Genes Differentially Expressed between Resistant and Susceptible Tomato Lines during Time-Course Interactions with Xanthomonas perforans Race T3

Overview of attention for article published in PLOS ONE, March 2014
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Title
Identification of Genes Differentially Expressed between Resistant and Susceptible Tomato Lines during Time-Course Interactions with Xanthomonas perforans Race T3
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0093476
Pubmed ID
Authors

Heshan Du, Wenhui Li, Yuqing Wang, Wencai Yang

Abstract

Bacterial spot caused by several Xanthomonas sp. is one of the most devastating diseases in tomato (Solanum lycopersicum L.). The genetics of hypersensitive resistance to X. perforans race T3 has been intensively investigated and regulatory genes during the infection of race T3 have been identified through transcriptional profiling. However, no work on isolating regulatory genes for field resistance has been reported. In this study, cDNA-amplified fragment length polymorphism technique was used to identify differentially expressed transcripts between resistant tomato accession PI 114490 and susceptible variety OH 88119 at 3, 4 and 5 days post-inoculation of the pathogen. Using 256 selective primer combinations, a total of 79 differentially expressed transcript-derived fragments (TDFs) representing 71 genes were obtained. Of which, 60 were up-regulated and 4 were down-regulated in both tomato lines, 4 were uniquely up-regulated and 2 were uniquely down-regulated in PI 114490, and 1 was specifically up-regulated in OH 88119. The expression patterns of 19 representative TDFs were further confirmed by semi-quantitative and/or quantitative real time RT-PCR. These results suggested that the two tomato lines activated partly similar defensive mechanism in response to race T3 infection. The data obtained here will provide some fundamental information for elucidating the molecular mechanism of response to race T3 infection in tomato plants with field resistance.

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Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 5%
France 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 42%
Student > Master 3 16%
Student > Postgraduate 2 11%
Student > Bachelor 1 5%
Unspecified 1 5%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 47%
Biochemistry, Genetics and Molecular Biology 4 21%
Unspecified 1 5%
Medicine and Dentistry 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 2 11%