Two Clonal Species of Phytophthora Associated to Solanaceous Crops Coexist in Central and Southern Colombia

Comprehensive Time-Series Analysis of the Gene Expression Profile in a Susceptible Cultivar of Tree Tomato (Solanum betaceum) During the Infection of Phytophthora betacei

Solanum betaceum is a tree from the Andean region bearing edible fruits, considered an exotic export. Although there has been renewed interest in its commercialization, sustainability, and disease management have been limiting factors. Phytophthora betacei is a recently described species that causes late blight in S. betaceum. There is no general study of the response of S. betaceum, particularly, in the changes in expression of pathogenesis-related genes. In this manuscript we present a comprehensive RNA-seq time-series study of the plant response to the infection of P. betacei. Following six time points of infection, the differentially expressed genes (DEGs) involved in the defense by the plant were contextualized in a sequential manner. We documented 5,628 DEGs across all time-points. From 6 to 24 h post-inoculation, we highlighted DEGs involved in the recognition of the pathogen by the likely activation of pattern-triggered immunity (PTI) genes. We also describe the possible effect of the pathogen effectors in the host during the effector-triggered response. Finally, we reveal genes related to the susceptible outcome of the interaction caused by the onset of necrotrophy and the sharp transcriptional changes as a response to the pathogen. This is the first report of the transcriptome of the tree tomato in response to the newly described pathogen P. betacei.

Genome-wide microsatellites and species specific markers in genus Phytophthora revealed through whole genome analysis

Genome wide microsatellite maps shall support Phytophthora systematics through the development of reliable markers, enabling species discrimination and variability analyses. Whole genome sequences of 17 Phytophthora accessions belonging to 14 species were retrieved from GenBank and the genome-wide microsatellites in each species were mined. A total of 51,200 microsatellites, including dinucleotide to decanucleotide motifs, have been identified across all the species and each one was characterized for uniqueness and repeat number. The P. infestans T30-4 genome had the highest (6873) and P. multivora 3378 had the lowest number of microsatellites (1802). Dinucleotide motifs (63.6%) followed by trinucleotide motifs (30.1%) were most abundant in all the genome. From 14 species, 250 microsatellites which are unique for the respective genomes are detailed along with their primer combinations and product sizes. P. sojae had the highest number of unique microsatellite motifs. Genome wide microsatellite maps for all the 14 Phytophthora species including the chromosome, position, motif, repeat number, forward and reverse primer sequences and expected PCR product size, for every microsatellite are presented. Markers based on the unique microsatellites could be used to identify each species, whereas the ones common to all species could be used to identify the genetic variability. Furthermore, to confirm the results, pure cultures of P. capsici, P. nicotianae and P. palmivora were procured from the Phytophthora Repository, DNA was isolated and the unique markers were screened across the species. The characteristic markers developed have confirmed the genome analysis results.