Genome Sequence of the Fungus Nannizziopsis barbatae, an Emerging Reptile Pathogen

Powell, Daniel; Jones, Ashley; Kent, Nicola; Kaur, Parwinder; Bar, Ido; Schwessinger, Benjamin; Frère, Céline

doi:10.1128/mra.01213-20

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…Type cultures listed in Table 1 were purchased from the UAMH Centre for Global Microfungal Biodiversity in Toronto, Canada. N. barbatae strain USC001 was isolated and sequenced previously (Powell et al, 2021 ). Fungal cultures were grown on potato dextrose agar at 25°C for up to 3 weeks to obtain sufficient growth.…”

Section: Methodsmentioning

confidence: 99%

Whole‐mitochondrial genomes of Nannizziopsis provide insights in evolution and detection

Powell

Schwessinger

Frère

2023

Ecology and Evolution

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Diseases-causing fungi pose a serious threat to wildlife populations, yet despite the impact they have had on global biodiversity, they are notably understudied (Ghosh et al., 2018). New fungal pathogens are emerging that are capable of infecting an increasingly diverse range of taxa and their impacts are being exacerbated by changing climate conditions and globalization (Fisher et al., 2012;Ghosh et al., 2020).Urbanization can be a key driver of disease emergence, facilitating transmission due to newly overlapping geographic expansions (Hassell et al., 2017), increasing the risk of disease spillover from wildlife into humans and other animals (Heesterbeek et al., 2015).Reports of emerging fungal pathogens are rising (Fisher et al., 2020) and over the past few decades, a group of Onygenalean fungi from the genera Nannizziopsis, Paranannizziopsis, and Ophidiomyces have emerged as a leading cause of severe mycoses in reptiles (Paré & Sigler, 2016).Fungi from the genus Nannizziopsis are capable of causing disease in several species of reptiles and have also been known to infect humans (Nourrisson et al., 2018). Infection in reptiles is contagious and initially presents as cutaneious disease with characteristic lesions forming crusts, ulcers, and hyperkeratosis that often progresses to fatal mycoses (Sigler et al., 2013). Among several species from this genus identified as reptile pathogens, infection with Nannizziopsis barbatae has become increasingly observed in free-living populations of Australian reptiles with a wide variety of species being reported

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Section: Methodsmentioning

confidence: 99%

Whole‐mitochondrial genomes of Nannizziopsis provide insights in evolution and detection

Powell

Schwessinger

Frère

2023

Ecology and Evolution

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“…Type cultures were purchased from the UAMH Centre for Global Microfungal Biodiversity in Toronto, Canada. N. barbatae strain USC001 was isolated and sequenced previously (Powell et al, 2021). Fungal cultures were grown on potato dextrose agar at 25 o C for up to three weeks to obtain sufficient growth.…”

Section: Sample Culturing and Processingmentioning

confidence: 99%

A species-specific qPCR assay for the reptile pathogen Nannizziopsis barbatae and mitochondrial genomes of Nannizziopsis and Paranannizziopsis

Powell

Schwessinger

Frère

2022

Preprint

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Infectious fungal diseases can have devastating effects on wildlife health and our ability to detect emerging fungal pathogens in the wild is considered indispensable for effective management strategies. Several fungi from the genus Nannizziopsis and Paranannizziopsis are emerging pathogens of reptiles and have been observed to cause disease in a wide range of taxa. Nannizziopsis barbatae has become a particularly important pathogen of Australian reptiles with an increasing number of herpetofauna being reported with cases of infection from across the country. Here, we report a species-specific qPCR assay for the rapid detection of N. barbatae and demonstrate its application in a wild urban population of a dragon lizard. In addition, we present the mitochondrial genome sequences and phylogenetic analysis for seven species in this group of fungi to support further research into the evolutionary ecology of these emerging pathogens.

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“…However, fungal pathogens can have severe adverse effects on human and animal health and agriculture. Fungi can cause large-scale biodiversity losses [23, 24], as demonstrated by the near extinction of amphibian taxa by the globally devastating fungal pathogen Batrachochytrium dendrobatidis [25], and the local extinction of several myrtaceae tree species by the rust fungus Austropuccinia psidii [26]. Fungal plant pathogens cost billions of dollars in global food production annually [27].…”

Section: Introductionmentioning

confidence: 99%

Linked machine learning classifiers improve species classification of fungi when using error-prone long-reads on extended metabarcodes

Irinyi

et al. 2021

Preprint

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The increased usage of long-read sequencing for metabarcoding has not been matched with public databases suited for error-prone long-reads. We address this gap and present a proof-of-concept study for classifying fungal species using linked machine learning classifiers. We demonstrate its capability for accurate classification using labelled and unlabelled fungal sequencing datasets. We show the advantage of our approach for closely related species over current alignment and k-mer methods and suggest a confidence threshold of 0.85 to maximise accurate target species identification from complex samples of unknown composition. We suggest future use of this approach in medicine, agriculture, and biosecurity.

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Genome Sequence of the Fungus Nannizziopsis barbatae, an Emerging Reptile Pathogen

Abstract: Nannizziopsis barbatae is an emerging fungal pathogen capable of causing contagious dermatomycosis in reptiles. Here, we report a 31.54-Mb draft genome sequence of an isolate originating from an infected eastern water dragon in Brisbane, Australia.

Cited by 4 publications

References 14 publications

Whole‐mitochondrial genomes of Nannizziopsis provide insights in evolution and detection

Whole‐mitochondrial genomes of Nannizziopsis provide insights in evolution and detection

A species-specific qPCR assay for the reptile pathogen Nannizziopsis barbatae and mitochondrial genomes of Nannizziopsis and Paranannizziopsis

Linked machine learning classifiers improve species classification of fungi when using error-prone long-reads on extended metabarcodes

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