Accession PRJCA001538
Title The sampling dependency of richness estimation in 1 m2 of top-soil
Relevance Environmental
Data types Raw sequence reads
Organisms soil metagenome
Description In this study, a nested design experiment was conducted in a semiarid temperate steppe in northern China and totally 705 topsoil samples were collected in five sampling quadrats. We focus on a small scale (1.19 m2 for a quadrat) with easy to thoroughly sampling, to illustrate how many prokaryotic species inhabit in 1.19 m2 grassland topsoil (0-20 cm), and to assess the effects of sampling strategies, including sample numbers, biological or technical replicates and their combinations, pooling and sequencing depth on the captured and estimated richness, as well as widespread common species.
Sample scope Environment
Release date 2019-06-26
PubMed ID Article title Journal name DOI Year
33636764 Sampling cores and sequencing depths affected the measurement of microbial diversity in soil quadrats The Science of The Total Environment 10.1016/j.scitotenv.2021.144966 2021
Agency program Grant ID Grant title
Chinese Academy of Sciences (CAS) NA
Submitter shuzhen    li  (
Organization Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing
Submission date 2019-06-26

Project Data

Resource name Description
BioSample (175)  show -
GSA (1) -
CRA001897 The sampling dependency of richness estimation in 1 m2 of top-soil