Microbial model communities exhibit widespread metabolic interdependencies

Microorganisms thrive in complex communities shaped by intricate interactions, yet the extent and ecological implications of biosynthetic dependencies in natural communities remain underexplored. Here, we used a dilution approach to cultivate 204 microbial model communities from the Baltic Sea and recovered 527 metagenome-assembled genomes (MAGs) that dereplicated into 72 species-clusters (>95% average nucleotide identity, ANI). Of these species, at least 70% represent previously uncultivated lineages. Combined with 1073 MAGs from Baltic Sea metagenomes, we generated a genomic catalog of 701 species-clusters. Our results show that cultures with more than three species included microorganisms with smaller genome sizes, lower biosynthetic potential for amino acids and B vitamins, and higher prevalence and abundance in the environment. Moreover, the taxa found together in the same model communities had complementary biosynthetic gene repertoires. Our results demonstrate that cultivating bacteria in dilution model communities facilitates access to previously uncultivated but abundant species that likely depend on metabolic partners for survival. Together, our findings highlight the value of community-based cultivation for unraveling ecological strategies. Finally, we confirm that metabolic interdependencies and genome streamlining are widespread features of successful environmental microorganisms.

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Publication Details

Journal
Communications Biology
Published
2025-12-03
DOI
https://doi.org/10.1038/s42003-025-09306-y
Citations
2
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
1.61
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article

Microbial model communities exhibit widespread metabolic interdependencies

Anders F. Andersson, Jennah E. Dharamshi, Alejandro Rodríguez-Gijón, Luis F. Delgado et al.
2 citations
Communications Biology
Microbial Metabolic Engineering and Bioproduction
1.61
article

Microbial model communities exhibit widespread metabolic interdependencies

Anders F. Andersson, Jennah E. Dharamshi, Alejandro Rodríguez-Gijón, Luis F. Delgado, Iva Veseli, Sarahi L. Garcia, Armando Pacheco-Valenciana, Anna Tausch, Fabian Bergland
article en
2 citations

Abstract

Microorganisms thrive in complex communities shaped by intricate interactions, yet the extent and ecological implications of biosynthetic dependencies in natural communities remain underexplored. Here, we used a dilution approach to cultivate 204 microbial model communities from the Baltic Sea and recovered 527 metagenome-assembled genomes (MAGs) that dereplicated into 72 species-clusters (>95% average nucleotide identity, ANI). Of these species, at least 70% represent previously uncultivated lineages. Combined with 1073 MAGs from Baltic Sea metagenomes, we generated a genomic catalog of 701 species-clusters. Our results show that cultures with more than three species included microorganisms with smaller genome sizes, lower biosynthetic potential for amino acids and B vitamins, and higher prevalence and abundance in the environment. Moreover, the taxa found together in the same model communities had complementary biosynthetic gene repertoires. Our results demonstrate that cultivating bacteria in dilution model communities facilitates access to previously uncultivated but abundant species that likely depend on metabolic partners for survival. Together, our findings highlight the value of community-based cultivation for unraveling ecological strategies. Finally, we confirm that metabolic interdependencies and genome streamlining are widespread features of successful environmental microorganisms.

Communications BiologyVol. 8(1)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Carl von Ossietzky Universität Oldenburg (DE), Stockholm University (SE), Science for Life Laboratory (SE), Helmholtz Institute for Functional Marine Biodiversity (DE), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 14%
Microbial Metabolic Engineering and Bioproduction
1.61
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