Project description:Penicillium digitatum is the pathogen of Green mold in Postharvest citrus. After inoculating Penicillium digitatum into the wound of citrus to infect it, transcriptome sequencing was carried out and compared with the results of transcriptome sequencing of Penicillium digitatum before inoculation in order to screen the differentially expressed genes and reveal its infection mechanism.
Project description:RNA-seq was used in combination with various analytical chemistry approaches to identify the chemical and genetic basis of pigment production of the bacterium Glutamicibacter arilaitensis when growing on cheese. This bacterium commonly found in cheese rinds where it co-occurs with Penicillium species and other molds. Pinkish-red pigments are produced by the bacterium in response to growth with Penicillium. Both chemical analyses and RNA-seq point to coproporphyrin III as the major metabolite leading to pigment formation.
Project description:Purpose: The goal of this study is to compare differences between Penicillium roqueforti conidia from various conditions shown to affect heat-resistance to identify genes possibly related to heat-resistance using RNA-seq. Methods: mRNA from Penicillium roqueforti conidia produced at different temperatures (15C, 25C or 30C) and different cultivation times (3, 5, 7 or 10 days) was extracted, in triplicate, and sequenced with Illumina NextSeq500. The sequence reads that passed quality filters were analyzed using Hisat2 followed by Cufflinks. Results: we mapped about 19 million sequence reads per sample to the Penicillium roqueforti genome (build LCP96 04111) and identified 9723 transcripts in the conidia. Data analysis revealed a subset of 33 genes showing increased expression in culture conditions that increase heat-resistance. Conclusions: Our study generated insight into multiple genes that are likely involved in the heat-resistance of Penicillium roqueforti.
