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Peter R. Johnston

Researcher at Landcare Research

Publications -  124
Citations -  12230

Peter R. Johnston is an academic researcher from Landcare Research. The author has contributed to research in topics: Genus & Leotiomycetes. The author has an hindex of 33, co-authored 120 publications receiving 9940 citations.

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Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi

Conrad L. Schoch, +160 more
TL;DR: Among the regions of the ribosomal cistron, the internal transcribed spacer (ITS) region has the highest probability of successful identification for the broadest range of fungi, with the most clearly defined barcode gap between inter- and intraspecific variation.
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The Colletotrichum gloeosporioides species complex

TL;DR: The limit of the Colletotrichum gloeosporioides species complex is defined genetically, based on a strongly supported clade within the Col letteredum ITS gene tree, as well as all taxa accepted within this clade, as it has been applied in the literature for the past 50 years.
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Colletotrichum - current status and future directions.

TL;DR: A review is provided of the current state of understanding of Colletotrichum systematics, focusing on species-level data and the major clades, and the taxonomic placement of the genus is discussed.
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The Ascomycota Tree of Life: A Phylum-wide Phylogeny Clarifies the Origin and Evolution of Fundamental Reproductive and Ecological Traits

Conrad L. Schoch, +65 more
- 01 Apr 2009 - 
TL;DR: A 6-gene, 420-species maximum-likelihood phylogeny of Ascomycota, the largest phylum of Fungi, and a phylogenetic informativeness analysis of all 6 genes and a series of ancestral character state reconstructions support a terrestrial, saprobic ecology as ancestral are presented.
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Finding needles in haystacks: Linking scientific names, reference specimens and molecular data for Fungi

Conrad L. Schoch, +101 more
- 30 Jun 2014 - 
TL;DR: A set of standards and protocols are proposed to improve the data quality of new sequences, and it is suggested how type and other reference sequences can be used to improve identification of Fungi.