Project description:Full-length 16S rRNA gene amplicon sequencing to characterize the bacterial community associated with Dactylopius opuntiae using Oxford Nanopore MinION technology. Raw sequence reads
Project description:Plant diseases induced by fungi are one of the most important limiting factors during pre- and post-harvest food production. For decades, synthetic chemical fungicides have been used to control these diseases, however, increase on worldwide regulatory policies and the demand to reduced their application, have led to search new ecofriendly alternatives such as the biostimulants. Commercial application of yeast as biocontrol, have shown low efficacy compared to synthetic fungicides, mostly due to the limited knowledge of the molecular mechanisms of yeast-induced responses. Interestingly, to date, only two genome-wide transciptomic analysis have been used to characterize the mode of action of biocontrols using the plant model Arabidopsis thaliana, missing, in our point of view, all its molecular and genomic potential. Here we described that compounds released by the biocontrol yeast Hanseniaspora opuntiae (HoFs) can protect Glycine max and Arabidopsis thaliana plants against the broad host-range necrotroph fungi Corynespora cassiicola and Botrytis cinerea, respectively. We show that HoFs have a long-lasting, dose-dependent local and systemic effect against Botrytis cinerea. Additionally, we performed a genome-wide transcriptomic analysis to identified HoFs-induced differentially expressed genes in Arabidopsis thaliana. Importantly, our work provides a novel and valuable information that can help the researchers to improve HoFs efficacy in order to become an ecofriendly alternative to synthetic fungicides
Project description:In the presence of environmental change, natural selection can shape the transcriptome. Under a scenario of environmental change, genotypes that are better able to modulate gene expression to maximize fitness will tend to be favored. Therefore, it is important to examine gene expression at the population level in order to distinguish random or neutral gene expression variation from the pattern produced by natural selection. This study investigates the natural variation in transcriptional response to a cactus host shift utilizing the mainland Sonora population of Drosophila mojavensis. Drosophila mojavensis is a cactophilic species composed of four cactus host populations endemic to the deserts of North America. Overall, the change in cactus host was associated with a significant reduction in larval viability, as well as the differential expression of 21% of the genome (3,109 genes). Among the genes identified were a set of genes previously known to be involved in xenobiotic metabolism, as well as genes involved in cellular energy production, oxidoreductase/carbohydrate metabolism, structural components and mRNA binding. Interestingly, of the 3,109 genes whose expression was affected by host use, there was a significant overrepresentation of genes that lacked an orthologous call to the D. melanogaster genome, suggesting the possibility of an accelerated rate of evolution in these genes. Of the genes with a significant cactus effect, the majority, 2,264 genes, did not exhibit a significant cactus-by-line interaction. This population level approach facilitated the identification of genes involved in past cactus host shifts. Dataset from Population transcriptomics of cactus host shifts in Drosophila mojavensis, Matzkin, LM. Molecular Ecology.
Project description:Hanseniaspora opuntiae Metagenome Assembled Genome obtained through a manually-curated metagenomic binning from environmental DNA extracted from fermenting cocoa pulp-bean mass