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Citizen science project reveals high diversity in Didymellaceae (Pleosporales, Dothideomycetes).

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TLDR
From the results of this study, soil was revealed to be a rich substrate for members of Didymellaceae, several of which were previously known only from diseased or apparently healthy plant hosts.
Abstract
Fungal communities play a crucial role in maintaining the health of managed and natural soil environments, which directly or indirectly affect the properties of plants and other soil inhabitants. As part of a Citizen Science Project initiated by the Westerdijk Fungal Biodiversity Institute and the Utrecht University Museum, which aimed to describe novel fungal species from Dutch garden soil, the diversity of Didymellaceae, which is one of the largest families in the Dothideomycetes was investigated. A preliminary analysis of the ITS and LSU sequences from the obtained isolates allowed the identification of 148 strains belonging to the family. Based on a multi-locus phylogeny of a combined ITS, LSU, rpb2 and tub2 alignment, and morphological characteristics, 20 different species were identified in nine genera, namely Ascochyta, Calophoma, Didymella, Juxtiphoma, Nothophoma, Paraboeremia, Phomatodes, Stagonosporopsis, and Xenodidymella. Several isolates confirmed to be ubiquitous plant pathogens or endophytes were for the first time identified from soil, such as Ascochyta syringae, Calophoma clematidis-rectae, and Paraboeremia litseae. Furthermore, one new genus and 12 novel species were described from soil: Ascochyta benningiorum sp. nov., Didymella degraaffiae sp. nov., D. kooimaniorum sp. nov., Juxtiphoma kolkmaniorum sp. nov., Nothophoma brennandiae sp. nov., Paraboeremia rekkeri sp. nov., P. truiniorum sp. nov., Stagonosporopsis stuijvenbergii sp. nov., S. weymaniae sp. nov., Vandijckomycella joseae gen. nov. et sp. nov., V. snoekiae sp. nov., and Xenodidymella weymaniae sp. nov. From the results of this study, soil was revealed to be a rich substrate for members of Didymellaceae, several of which were previously known only from diseased or apparently healthy plant hosts.

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Citations
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Journal ArticleDOI

The phoma-like dilemma.

TL;DR: Rpb2 was revealed as the most effective locus for the identification of Didymellaceae at species level, and is proposed as a secondary DNA marker for the family in a robust, multi-locus reference phylogenetic tree of Didylellaceae.
Journal ArticleDOI

Identification and Characterization of Leaf-Inhabiting Fungi from Castanea Plantations in China.

TL;DR: Wang et al. as mentioned in this paper collected leaf samples of C. henryi and C. mollissima and identified twenty-six fungal species, including one new family, one new genus, and five new species.

Soil fungi: diversity and detection.

TL;DR: In this paper, the authors used a combination of broad spectrum polymerase chain reaction (PCR) detection, coupled with single strand conformation polymorphisms (SSCP) or denaturing gradient gel electrophoresis (DGGE) to detect fungus diversity in soil.
References
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Journal ArticleDOI

MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: An advanced version of the Molecular Evolutionary Genetics Analysis software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, is released, which enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny.

Brief Communication MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: The Molecular Evolutionary Genetics Analysis (MEGA) software as discussed by the authors provides facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, including the inference of timetrees.
Journal ArticleDOI

MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice across a Large Model Space

TL;DR: The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly, and provides more output options than previously, including samples of ancestral states, site rates, site dN/dS rations, branch rates, and node dates.
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