five

Universal Metabarcodes (16S & 18S) from the POTATOE Cruise in 2003

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP551354
下载链接
链接失效反馈
官方服务:
资源简介:
This metabarcoding dataset is derived from PCR amplification of marine plankton-derived DNA from during a ship of opportunity cruise on the RVIB Nathaniel B Palmer in 2003. Metabarcoding reads were generated using a single primer set that simultaneously amplifies both 16S and 18S genes, though users should note that specific bioinformatic procedures are required to recover and analyze 18S sequences (see: https://github.com/jcmcnch/eASV-pipeline-for-515Y-926R).This dataset is part of a larger collaborative project called GRUMP (Global rRNA Universal Metabarcoding of Plankton) which has produced metabarcoding data from worldwide cruises from the same universal primer set (Parada et al., 2016, doi:10.1111/1462-2920.13023) on unfractionated samples (> 0.2 um). This primer set perfectly matches the rRNA of most surface ocean organisms, including eukaryotic and metazoan 18S (McNichol et al., 2021, doi:10.1128/msystems. 00565-21). As a result, the sequences here represent a full-community profile of each water sample with the same denominator and the same primer set (Yeh et al., 2021, doi:10.1111/1462-2920.15553).Notes for data users:Only limited environmental covariate data has been uploaded with the raw sequences. More data will be made available at the locations specified below.Final, processed data (16S + 18S relative abundances with taxonomic annotations) will be provided through the Simons Foundation CMAP (Collaborative Marine Atlas Project; https://simonscmap.com/) alongside environmental covariates. If you do not wish to reanalyze these data, we suggest using this data product.Bioinformatic intermediates, and scripts are stored at OSF in a single umbrella repository (https://osf.io/57dpa/). This is a useful place for those who might wish to analyze only a subset of our data (e.g. 18S or 16S only) or who wish to understand the bioinformatic processing in greater detail.Additional updates (e.g. linking additional environmental covariates to metabarcoding data) will be provided at our github page (https://github.com/jcmcnch/Global-rRNA-Univeral-Metabarcoding-of-Plankton). This is a good place to check for the latest updates to the GRUMP project.Specific notes for this dataset:This dataset contains relative abundance and taxonomic information for planktonic organisms collected by filtering whole seawater (20L) collected at sea surface between 1-2 m onto 0.22uM Sterivex filters during a ship of opportunity cruise on the RVIB Nathaniel B Palmer in 2003 (Moss et al., 2020). Sterivex filters and continuously stored at -80C until further processing. Samples were thawed and filters removed using sterile scalpel and forceps and placed into gDNA extraction tubes. Extractions proceeded following the MoBio PowerSoil Extraction kit protocol (MoBio). DNA was amplified, and sequenced by Jesse McNichol, Yubin Raut, & Bruce Yanpui Chan (Fuhrman Lab, USC) in 2020 and 2021.PCR amplification and sequencing:5' master mix (product 2200400/2200410) was used for DNA amplification with the 515Y (5'-GTGYCAGCMGCCGCGGTAA) and 926R (5'-CCGYCAATTYMTTTRAGTTT) primers with Illumina adapters and barcodes pre-ligated (as noted here: dx.doi.org/10.17504/protocols.io.vb7e2rn). Sequencing was done at Tufts University Medical School using HiSeq Rapid Run technology (2x250 bp).
创建时间:
2026-01-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作