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

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.

基于扩增子的宏基因组下一代测序（amplicon-based metagenomic next generation sequencing）被用于识别美国加利福尼亚州中部海岸自然植被区域湿季的空气传播真菌群落。本研究于2012-2013年12月至次年3月期间，每周从红杉林、常绿混交林、滨海灌丛三种生境类型中采集雨水孢子捕集器样本。对采集得到的雨水样品进行过滤，并采用酚-氯仿法提取环境DNA（eDNA）。扩增ITS 1-2区域，构建测序文库，并依托Illumina Miseq平台开展高通量测序。使用微生物生态学定量洞察工具（Quantitative Insights in Microbial Ecology, QIIME）对原始读段进行过滤与分类，并将序列比对至UNITE数据库以完成分类学注释。本次提供的.csv数据文件包含以下三列信息：1）操作分类单元（Operational Taxonomic Unit, OTU）标识；2）样本名称——对应各雨水孢子捕集器及其对应的读段丰度；3）包含分类学数据的共识谱系。