Comparative <i>Penicillium</i> spp. Transcriptomics: Conserved Pathways and Processes Revealed in Ungerminated Conidia and during Postharvest Apple Fruit Decay

Blue mold, caused by <i>Penicillium</i> spp., is an impactful postharvest disease resulting in significant economic losses due to reduced pome fruit quality and mycotoxin contamination. Using two <i>Penicillium</i> species with different levels of aggressiveness, transcriptom...

Full description

Bibliographic Details
Main Authors: Holly P. Bartholomew, Franz J. Lichtner, Michael Bradshaw, Verneta L. Gaskins, Jorge M. Fonseca, Joan W. Bennett, Wayne M. Jurick
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Microorganisms
Subjects:
Online Access:https://www.mdpi.com/2076-2607/10/12/2414
Description
Summary:Blue mold, caused by <i>Penicillium</i> spp., is an impactful postharvest disease resulting in significant economic losses due to reduced pome fruit quality and mycotoxin contamination. Using two <i>Penicillium</i> species with different levels of aggressiveness, transcriptomics were implemented in order to identify genes expressed during apple fruit decay and loci expressed in ungerminated conidia. Total RNA was isolated from ungerminated conidia and decayed apple fruit infected with <i>P. expansum</i> R19 or <i>P. polonicum</i> RS1. There were 2442 differentially expressed genes (DEGs) between the R19 and RS1 in apple. Comparisons within species between apple and conidia revealed 4404 DEGs for R19 and 2935 for RS1, respectively. Gene ontology (GO) analysis revealed differential regulation in fungal transport and metabolism genes during decay, suggesting a flux in nutrient acquisition and detoxification strategies. In R19, the oxidoreductase GO category comprised 20% of all DEG groups in apple verses conidia. Ungerminated conidia from both species showed DEGs encoding the glyoxylate shunt and beta-oxidation, specifying the earliest metabolic requirements for germination. This is the first study to identify pre-loaded transcripts in conidia from blue mold fungi, reveal unique genes between species expressed during apple decay, and show the expression dynamics of known fungal virulence factors. These findings will enable development of targeted approaches for blue mold abatement strategies.
ISSN:2076-2607