Detecting macroecological patterns in bacterial communities across independent studies of global soils
- Submitting institution
-
Brunel University London
- Unit of assessment
- 3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
- Output identifier
- 092-185277-24541
- Type
- D - Journal article
- DOI
-
10.1038/s41564-017-0062-x
- Title of journal
- Nature Microbiology
- Article number
- -
- First page
- 189
- Volume
- 3
- Issue
- 2
- ISSN
- 2058-5276
- Open access status
- Technical exception
- Month of publication
- November
- Year of publication
- 2017
- URL
-
https://derby.openrepository.com/handle/10545/622077?show=full
- Supplementary information
-
https://www.nature.com/articles/s41564-017-0062-x#Sec14
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
35
- Research group(s)
-
1 - Biosciences
- Citation count
- 49
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- High-throughput DNA sequencing methods allows unprecedented opportunities to unravel bacterial biodiversity and its worldwide role from human health to ecosystem functioning. This paper addresses how to combine data from multiple individual studies, which was methodically challenging and plagued with biases to give meaningful results for analysis. We successfully merged 30 independent bacterial data sets comprising 1,998 soil samples from 21 countries. And then for the first time on a large scale look at the macroecological patterns in bacterial communities across independent studies of global soils. This journal first 2 year impact factor has just been publish as 14.174
- Non-English
- No
- English abstract
- -
