ReviewMolecular ecology2016
Application of multivariate statistical techniques in microbial ecology.
Review in Molecular ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
128 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Crop rotation differentially increases soil bacterial and fungal diversities in global croplands: a meta-analysis.Nature communications · 2025Pooled it
- Multidimensional β-diversity responses to global change: a meta-analysis highlighting divergent effects on plant communities.Nature communications · 2025Pooled it
- Meta-analysis reveals the effects of microbial inoculants on the biomass and diversity of soil microbial communities.Nature ecology & evolution · 2024Pooled it
- Meta-analysis of the impacts of global change factors on soil microbial diversity and functionality.Nature communications · 2020Pooled it
- Host-diet-gut microbiome interactions influence human energy balance: a randomized clinical trial.Nature communications · 2023Trial
- Influence of Flax Seeds on the Gut Microbiota of Elderly Patients with Constipation.Journal of multidisciplinary healthcare · 2022Trial
- Integrated metabolome analysis reveals novel connections between maternal fecal metabolome and the neonatal blood metabolome in women with gestational diabetes mellitus.Scientific reports · 2020Trial
- Multi-omics profiling of oral microbial functional signatures and systemic immune-metabolic features in perinatal depression.Brain, behavior, & immunity - health · 2026Article
- Enhancing the understanding of environmental microbiomes through topic modeling: a quantitative and qualitative analysis.Environmental microbiome · 2026Article
- Gut microbiota restructured by social isolation: Evidence for sex-specific response patterns.Brain, behavior, & immunity - health · 2026Article
- Bacterial and Fungal Community Responses to Long-Term Salinity Gradients in Natural Soils of Kazakhstan.Microorganisms · 2026Article
- Ecological Processes Underpinning Microbial Variability in Archean Granitoids Beneath the Deccan Traps: Evidence From Deep Drilling in Koyna, India.Environmental microbiology reports · 2026Article
- Higher-dimensional ordination analysis teases out impacts ofMicrobiology spectrum · 2026Article
- α-Diversity analysis of hepatic transcriptome reveals distinct pathways in alcohol-associated hepatitis.JCI insight · 2026Article
- Exploratory identification of intestinal health and productive performance patterns in post-weaning piglets using explainable machine learning.Veterinary research communications · 2026Article
- Gut mucosal mycobiome profiling in Crohn's disease uncovers an AMP-mediated anti-inflammatory effect of Cladosporium sphaerospermum.Nature metabolism · 2026Article
- Groundwater microbial community structure under contrasting hydrological conditions in a sulfate-rich karst aquifer.Frontiers in microbiology · 2026Article
- Genotype-dependent stability and specialization of arbuscular mycorrhizal fungal communities under drought in common bean.Frontiers in plant science · 2026Article
- Association of gut microbiome signatures with iron metabolism response to roxadustat in peritoneal dialysis patients with anemia: a cross-sectional study.Frontiers in pharmacology · 2026Article
- Interpreting UniFrac with absolute abundance: a conceptual and practical guide.ISME communications · 2026Article
68 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Recent advances in high-throughput methods of molecular analyses have led to an explosion of studies generating large-scale ecological data sets. In particular, noticeable effect has been attained in the field of microbial ecology, where new experimental approaches provided in-depth assessments of the composition, functions and dynamic changes of complex microbial communities. Because even a single high-throughput experiment produces large amount of data, powerful statistical techniques of multivariate analysis are well suited to analyse and interpret these data sets. Many different multivariate techniques are available, and often it is not clear which method should be applied to a particular data set. In this review, we describe and compare the most widely used multivariate statistical techniques including exploratory, interpretive and discriminatory procedures. We consider several important limitations and assumptions of these methods, and we present examples of how these approaches have been utilized in recent studies to provide insight into the ecology of the microbial world. Finally, we offer suggestions for the selection of appropriate methods based on the research question and data set structure.
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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.