ArticleFrontiers in microbiology2014
Seeing the forest for the genes: using metagenomics to infer the aggregated traits of microbial communities.
Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed.
- Soil proteogenomics uncover microbial strategies for soil depth-specific carbon cycling under whole-soil warming conditions.Nature communications · 2026Article
- Microbial ecology of shallow groundwater ecosystems.Nature reviews. Microbiology · 2026Review
- Article
- Disturbance intensity shapes universal and context-dependent functional traits in anaerobic microbiomes.Environmental science and ecotechnology · 2026Article
- Linking stochastic assembly to functional potential, redundancy, and trait patterns in bacterial communities.Microbiome · 2026Article
- Predicting microbial community responses to disturbance using genome-resolved trait-based life-history strategies.The ISME journal · 2026Article
- Carbon regime structures functional trait trajectories during primary succession in microorganisms.The ISME journal · 2026Article
- Time-series RNA metabarcoding of the activemSystems · 2025Article
- Metagenomic Insights into Disease-Induced Microbial Dysbiosis and Elemental Cycling Alterations inJournal of fungi (Basel, Switzerland) · 2025Article
- Differences in the genomic potential of soil bacterial and viral communities between urban greenspaces and natural arid soils.Applied and environmental microbiology · 2025Article
- Macroecological patterns of planktonic unicellular eukaryotes richness in the Southeast Pacific Ocean.Scientific reports · 2025Article
- A framework for integrating genomics, microbial traits, and ecosystem biogeochemistry.Nature communications · 2025Article
- Microbial functional diversity and redundancy: moving forward.FEMS microbiology reviews · 2025Review
- Long-term climate establishes functional legacies by altering microbial traits.The ISME journal · 2025Article
- Microbial dark matter could add uncertainties to metagenomic trait estimations.Nature microbiology · 2024Article
- Ecological relevance of flagellar motility in soil bacterial communities.The ISME journal · 2024Article
- Bacterial population-level trade-offs between drought tolerance and resource acquisition traits impact decomposition.The ISME journal · 2024Article
- Life history strategies of soil bacterial communities across global terrestrial biomes.Nature microbiology · 2023Article
- The reciprocal changes in dominant species with complete metabolic functions explain the decoupling phenomenon of microbial taxonomic and functional composition in a grassland.Frontiers in microbiology · 2023Article
- Potential and limitations for monitoring of pesticide biodegradation at trace concentrations in water and soil.World journal of microbiology & biotechnology · 2022Review
1 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
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Abstract
Most environments harbor large numbers of microbial taxa with ecologies that remain poorly described and characterizing the functional capabilities of whole communities remains a key challenge in microbial ecology. Shotgun metagenomic analyses are increasingly recognized as a powerful tool to understand community-level attributes. However, much of this data is under-utilized due, in part, to a lack of conceptual strategies for linking the metagenomic data to the most relevant community-level characteristics. Microbial ecologists could benefit by borrowing the concept of community-aggregated traits (CATs) from plant ecologists to glean more insight from the ever-increasing amount of metagenomic data being generated. CATs can be used to quantify the mean and variance of functional traits found in a given community. A CAT-based strategy will often yield far more useful information for predicting the functional attributes of diverse microbial communities and changes in those attributes than the more commonly used analytical strategies. A more careful consideration of what CATs to measure and how they can be quantified from metagenomic data, will help build a more integrated understanding of complex microbial communities.
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