The fungal diversity associated with leaves, flowers and fruits of olive (Olea europaea) was investigated in different phenological stages (May, June, October and December) using an implemented metabarcoding approach. It consisted of the 454 pyrosequencing of the fungal ITS2 region and the subsequent phylogenetic analysis of relevant genera along with validated reference sequences. Most sequences were identified up to the species level or were associated with a restricted number of related taxa enabling supported speculations regarding their biological role. Analyses revealed a rich fungal community with 195 different OTUs. Ascomycota was the dominating phyla representing 93.6% of the total number of detected sequences followed by unidentified fungi (3.6%) and Basidiomycota (2.8%). A higher level of diversity was revealed for leaves compared to flowers and fruits. Among plant pathogens the genus Colletotrichum represented by three species (C. godetiae syn. C. clavatum, C. acutatum s.s and C. karstii) was the most abundant on ripe fruits but it was also detected in other organs. Pseudocercospora cladosporioides was detected with a high frequency in all leaf samples and to a less extent in ripe fruits. A much lower relative frequency was revealed for Spilocaea oleagina and for other putative pathogens including Fusarium spp., Neofusicoccum spp., and Alternaria spp. Among non-pathogen taxa, Aureobasidium pullulans, the species complex of Cladosporium cladosporioides and Devriesia spp. were the most represented. This study highlights the existence of a complex fungal consortium including both phytopathogenic and potentially antagonistic microorganisms that can have a significant impact on olive productions.

An amplicon metagenomic approach based on the ITS2 region of fungal rDNA was used to identify the composition of fungal communities associated with different strawberry organs (leaves, flowers, immature and mature fruits), grown on a farm using management practices that entailed the routine use of various chemical pesticides. ITS2 sequences clustered into 316 OTUs and Ascomycota was the dominant phyla (95.6%) followed by Basidiomycota (3.9%). Strawberry plants supported a high diversity of microbial organisms, but two genera, Botrytis and Cladosporium, were the most abundant, representing 70–99% of the relative abundance (RA) of all detected sequences. According to alpha and beta diversity analyses, strawberry organs displayed significantly different fungal communities with leaves having the most diverse fungal community, followed by flowers, and fruit. The interruption of chemical treatments for one month resulted in a significant modification in the structure of the fungal community of leaves and flowers while immature and mature fruit were not significantly affected. Several plant pathogens of other plant species, that would not be intuitively expected to be present on strawberry plants such as Erysiphe, were detected, while some common strawberry pathogens, such as Rhizoctonia, were less evident or absent.

Pomegranate (Punica granatum L.) peel and sumac (Rhus coriaria L.) fruit and leaf extracts were chemically characterized and their ability to inhibit table grape (cv. Italia) rots caused by Botrytis cinerea was evaluated on artificially inoculated berries. Different extraction methods were applied and extracts were characterized through Ultra Fast High Performance Liquid Chromatography coupled to Photodiode array detector and Electrospray ionization Mass spectrometer (UPLC-PDA-ESI/MS n ) for their phenol and anthocyanin contents. The concentrated pomegranate peel extract (PGE-C) was the richest in phenols (66.97 g gallic acid equivalents/kg) while the concentrated sumac extract from fruits (SUF-C) showed the highest anthocyanin amount (171.96 mg cyanidin 3-glucoside equivalents/kg). Both phenolic and anthocyanin profile of pomegranate and sumac extracts were quite different: pomegranate extract was rich in cyanidin 3-glucoside, pelargonidin 3-glucoside and ellagic acid derivatives, while sumac extract was characterized by 7-methyl-cyanidin 3-galactoside and gallic acid derivatives. The concentrated extracts from both pomegranate peel and sumac leaves significantly reduced the development of Botrytis rots. In particular, the extract from OPEN ACCESSMolecules 2015, 20 11942 pomegranate peel completely inhibited the pathogen at different intervals of time (0, 12, and 24 h) between treatment and pathogen inoculation on fruits maintained at 22-24 °C and high relative humidity (RH). This extract may represent a valuable alternative to control postharvest fungal rots in view of its high efficacy because of the low cost of pomegranate peel, which is a waste product of processing factories.

Quantitative polymerase chain reaction (qPCR) is a versatile technique for the accurate, sensitive, reliable and high‐throughput detection and quantification of target DNA in various environmental samples, and in recent years, it has greatly contributed to the advancement of knowledge in the plant pathology field. Indeed, this technique is ideal to evaluate inoculum threshold levels and to study the epidemiology, biology and ecology of phytopathogenic fungi and oomycetes, thus opening up new research opportunities to investigate host–pathogen interactions and to address tasks related to quarantine, eradication and biosecurity. Moreover, it can be a useful tool in breeding programs. The present review analyses the most relevant applications of qPCR for the detection and quantification of filamentous fungi and oomycetes within host tissues and in soil, air and water, along with brief paragraphs focusing on new application fields such as the detection and quantification of mycotoxigenic fungi and biocontrol agents. The high potentiality of qPCR for present and future applications is highlighted together with a critical analysis of major drawbacks that need to be corrected to definitively confirm it as a preferential routine quantitative detection method.

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