Comparative identification of WRKY transcription factors and transcriptional response to Ralstonia solanacearum in tomato.

In order to study the responses of tomato (Solanum lycopersicum) WRKY TFs to bacterial wilt caused by Ralstonia solanacearum, the most up-to-date genomes and transcriptional profiles were used to identify WRKY TFs in control and infected inbred lines. In total, 85 tomato WRKY TFs were identified and categorized into groups I, IIa + b, IIc, IId + e, and III. These WRKYs, especially those from group IIe, were mainly distributed at chromosome ends and in clusters.

Gene enrichment and co-expression analysis shed light on transcriptional responses to Ralstonia solanacearum in tomato.

Background: Tomato (Solanum lycopersicum) is both an important agricultural product and an excellent model system for studying plant-pathogen interactions. It is susceptible to bacterial wilt caused by Ralstonia solanacearum (Rs), and infection can result in severe yield and quality losses. To investigate which genes are involved in the resistance response to this pathogen, we sequenced the transcriptomes of both resistant and susceptible tomato inbred lines before and after Rs inoculation.

Isolation and characterization of a pathogenesis-related protein 1 (SlPR1) gene with induced expression in tomato (Solanum lycopersicum) during Ralstonia solanacearum infection.

In order to explore the function of pathogenesis-related (PR) proteins in regulating tomato (Solanum lycopersicum) biological stress response, a PR protein gene (SlPR1) (Gen ID: Solyc01g106620.2) was isolated from tomato by RT-PCR. The full-length cDNA was 760 bp, which encoded a total of 179 amino acids.

Phylogenetic Relationship of Plant Genes and Transcriptional Response of Genes to in Tomato.

As a broad-spectrum disease resistance factor, is involved in a variety of biotic and abiotic stress responses in plants. To figure out the structural features, phylogenetic relationships, and expression patterns of genes, we investigated the genome and transcriptome sequencing data of 28 plant species using bioinformatics tools. A total of 197 genes were identified.