In depth search of the Sequence Read Archive database reveals global distribution of the emerging pathogenic fungus Scedosporium aurantiacum

Author:

Irinyi Laszlo123ORCID,Roper Michael4ORCID,Meyer Wieland1235ORCID

Affiliation:

1. Molecular Mycology Research Laboratory, Centre for Infectious Diseases and Microbiology, Faculty of Medicine and Health, Sydney Medical School, Westmead Clinical School, The University of Sydney, Westmead, NSW 2145, Australia

2. Sydney Institute for Infectious Diseases, The University of Sydney, Westmead, NSW 2145, Australia

3. Westmead Institute for Medical Research, Westmead, NSW 2145, Australia

4. Division of Biomedical Science and Biochemistry, Australian National University, Canberra, ACT 2601, Australia

5. Westmead Hospital (Research and Education Network), Westmead, NSW 2145, Australia

Abstract

Abstract Scedosporium species are emerging opportunistic fungal pathogens causing various infections mainly in immunocompromised patients, but also in immunocompetent individuals, following traumatic injuries. Clinical manifestations range from local infections, such as subcutaneous mycetoma or bone and joint infections, to pulmonary colonization and severe disseminated diseases. They are commonly found in soil and other environmental sources. To date S. aurantiacum has been reported only from a handful of countries. To identify the worldwide distribution of this species we screened publicly available sequencing data from fungal metabarcoding studies in the Sequence Read Archive (SRA) of The National Centre for Biotechnology Information (NCBI) by multiple BLAST searches. S. aurantiacum was found in 26 countries and two islands, throughout every climatic region. This distribution is like that of other Scedosporium species. Several new environmental sources of S. aurantiacum including human and bovine milk, chicken and canine gut, freshwater, and feces of the giant white-tailed rat (Uromys caudimaculatus) were identified. This study demonstrated that raw sequence data stored in the SRA database can be repurposed using a big data analysis approach to answer biological questions of interest. Lay summary To understand the distribution and natural habitat of S. aurantiacum, species-specific DNA sequences were searched in the SRA database. Our large-scale data analysis illustrates that S. aurantiacum is more widely distributed than previously thought and new environmental sources were identified.

Funder

National Library of Medicine

NHMRC

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,General Medicine

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