International Journal of Molecular SciencesMolecular BiologyPeer-reviewed journal article
Transcriptome-based Analysis of Tomato Genotypes Resistant to Bacterial spot (Xanthomonas perforans) Race T4
Abstract
Bacterial spot (BS) is one of the most devastating foliar bacterial diseases of tomato caused by multiple species of Xanthomonas. We performed the RNA-Seq analysis of three tomato lines with different level of resistance to Xanthomonas perforans race T4 to study the differentially expressed genes (DEGs) and transcript-based sequence variations.\n\nAnalysis between inoculated and control samples revealed that resistant line PI 270443 had more DEGs (834), followed by susceptible line NC 714 (373), and intermediate line NC 1CELBR (154). Gene functional analysis based on Gene Ontology (GO) terms revealed that more GO terms (51) were enriched for up-regulated DEGs in the resistant line PI 270443, and more down-regulated DEGs (67) were enriched in the susceptible line NC 714. The specific analysis for DEGs in biotic stress pathway using MapMan software showed more up-regulated biotic stress pathway DEGs (67) for PI 270443 compared to more down-regulated DEGs (125) for susceptible NC 714 line. One interesting feature was that resistant PI 270443 has three up-regulated DEGs for PR-protein, and susceptible line NC 714 has one down-regulated R gene, which is disease-related.\n\nAnalysis of sequence variations called from RNA-Seq reads against the reference genome of susceptible Heinz 1706 showed that chr11 which has multiple reported resistance QTLs to BS race T4 is identical between two resistant lines, PI 270443 and NC 1CELBR, suggesting that these two lines share the same resistance QTLs on this chromosome. Several loci for PR-resistance proteins with sequence variation between the resistant and susceptible tomato lines were identified near the known Rx4 resistance gene on chr11. These findings may be useful for further molecular breeding of tomato.
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 22
- FWCI
- 1.45
- Field percentile
- top 19%
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