ArticleNature microbiology2018
Detecting macroecological patterns in bacterial communities across independent studies of global soils.
Article in Nature microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
57 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Towards an integrative understanding of soil biodiversity.Biological reviews of the Cambridge Philosophical Society · 2020Pooled it
- Pooled it
- Molecular bioindicators for assessing environmental impacts of emerging contaminants.Fundamental research · 2026Review
- Extracellular DNA Alters Detection of Subtle Bacterial Responses to Soil Rewetting.Microbial ecology · 2026Article
- SIPdb: a stable isotope probing database and analytical dashboard for linking amplicon sequences to microbial activity using reverse ecology.ISME communications · 2026Article
- Rare Phyla, Such as CPR and DPANN, Shape Ecosystem-Level Microbial Community Structure Dissimilarities.Microbial ecology · 2025Article
- Mapping total microbial communities and waterborne pathogens in household drinking water in China by citizen science and metabarcoding.Frontiers in microbiology · 2025Article
- A benchmark analysis of feature selection and machine learning methods for environmental metabarcoding datasets.Computational and structural biotechnology journal · 2025Article
- Investigating impacts from topsoil stockpile height on soil microbial communities.Frontiers in microbiomes · 2025Article
- Development of a logic regression-based approach for the discovery of host- and niche-informative biomarkers inApplied and environmental microbiology · 2024Article
- Heritable microbiome variation is correlated with source environment in locally adapted maize varieties.Nature plants · 2024Article
- Above- and belowground fungal biodiversity of Populus trees on a continental scale.Nature microbiology · 2023Article
- Multidimensional specialization and generalization are pervasive in soil prokaryotes.Nature ecology & evolution · 2023Article
- Enumerating soil biodiversity.Proceedings of the National Academy of Sciences of the United States of America · 2023Review
- Artificial Intelligence: A Promising Tool in Exploring the Phytomicrobiome in Managing Disease and Promoting Plant Health.Plants (Basel, Switzerland) · 2023Review
- High-resolution single-molecule long-fragment rRNA gene amplicon sequencing of bacterial and eukaryotic microbial communities.Cell reports methods · 2023Article
- Ecological insights into soil health according to the genomic traits and environment-wide associations of bacteria in agricultural soils.ISME communications · 2023Article
- The combined effect of fire and nitrogen addition on biodiversity and herbaceous aboveground productivity in a coastal shrubland.Frontiers in plant science · 2023Article
- Defending Earth's terrestrial microbiome.Nature microbiology · 2022Review
- Beyond Basic Diversity Estimates-Analytical Tools for Mechanistic Interpretations of Amplicon Sequencing Data.Microorganisms · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
36 authors.
Funding
Abstract
The emergence of high-throughput DNA sequencing methods provides unprecedented opportunities to further unravel bacterial biodiversity and its worldwide role from human health to ecosystem functioning. However, despite the abundance of sequencing studies, combining data from multiple individual studies to address macroecological questions of bacterial diversity remains methodically challenging and plagued with biases. Here, using a machine-learning approach that accounts for differences among studies and complex interactions among taxa, we merge 30 independent bacterial data sets comprising 1,998 soil samples from 21 countries. Whereas previous meta-analysis efforts have focused on bacterial diversity measures or abundances of major taxa, we show that disparate amplicon sequence data can be combined at the taxonomy-based level to assess bacterial community structure. We find that rarer taxa are more important for structuring soil communities than abundant taxa, and that these rarer taxa are better predictors of community structure than environmental factors, which are often confounded across studies. We conclude that combining data from independent studies can be used to explore bacterial community dynamics, identify potential 'indicator' taxa with an important role in structuring communities, and propose hypotheses on the factors that shape bacterial biogeography that have been overlooked in the past.
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29158606What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.