Multi-Replicated Enrichment Communities As a Model System in Microbial Ecology
Overview
Affiliations
Recent advances in robotics and affordable genomic sequencing technologies have made it possible to establish and quantitatively track the assembly of enrichment communities in high-throughput. By conducting community assembly experiments in up to thousands of synthetic habitats, where the extrinsic sources of variation among replicates can be controlled, we can now study the reproducibility and predictability of microbial community assembly at different levels of organization, and its relationship with nutrient composition and other ecological drivers. Through a dialog with mathematical models, high-throughput enrichment communities are bringing us closer to the goal of developing a quantitative predictive theory of microbial community assembly. In this short review, we present an overview of recent research on this growing field, highlighting the connection between theory and experiments and suggesting directions for future work.
Understanding the limitations of substrate degradation in bioelectrochemical systems.
Bird H, Velasquez-Orta S, Heidrich E Front Microbiol. 2025; 15():1511142.
PMID: 39834375 PMC: 11743565. DOI: 10.3389/fmicb.2024.1511142.
Schaerer L, Aloba S, Wood E, Olson A, Valencia I, Ong R PLoS One. 2024; 19(12):e0315432.
PMID: 39729501 PMC: 11676569. DOI: 10.1371/journal.pone.0315432.
Castledine M, Pennycook J, Newbury A, Lear L, Erdos Z, Lewis R Microbiology (Reading). 2024; 170(9).
PMID: 39297874 PMC: 11412253. DOI: 10.1099/mic.0.001489.
Hu H, Wang M, Huang Y, Xu Z, Xu P, Nie Y mLife. 2024; 1(4):382-398.
PMID: 38818482 PMC: 10989833. DOI: 10.1002/mlf2.12043.
Complete genome sequences of 30 bacterial species from a synthetic community.
Hogle S, Tamminen M, Hiltunen T Microbiol Resour Announc. 2024; 13(6):e0011124.
PMID: 38727234 PMC: 11237487. DOI: 10.1128/mra.00111-24.