Metagenomic amplicon-based sequencing data for fungal communities found in rainwater

Published: 7 March 2019| Version 1 | DOI: 10.17632/72bzhb8c22.1
Contributors:
Sharifa Crandall,
Norah Saarman,
Greg Gilbert

Description

Amplicon-based metagenomic next generation sequencing was used to identify airborne fungal communities over natural vegetation types during the wet season on the central coast of California, USA. Rainwater spore traps were collected weekly from three habitat types (redwood forest, mixed-evergreen forest, and maritime chaparral) from December - March (2012-2013). The rainwater was filtered and eDNA was extracted using a phenol-chloroform technique. The ITS 1-2 region was amplified, libraries were prepared, and high throughput sequencing was conducted using an Illumina Miseq platform. Raw reads were filtered and sorted using Quantitative Insights in Microbial Ecology (QIIME) and sequences were matched to the UNITE database to assign taxonomies. The .csv data file here contains columns displaying 1) OTU identification, 2) sample names which represent each rainwater spore trap and the corresponding read abundances, and 3) consensus lineage with taxonomic data.

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Steps to reproduce

See Crandall et al. 2019 (Fungal Ecology)

Institutions

University of California Santa Cruz, Yale University, California State University Monterey Bay

Categories

Diversity of Microorganism, Fungal Diseases in Plant, Fungal Classification

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