Comparative co-occurrence network analyses of the cichlid fish gut microbiota: community conservation and diet-associated shifts
Riera, J. L.; Baldo, L.
Show abstract
Co-occurrence networks of bacteria associations are a powerful approach to explore ecologically relevant aspects of the gut microbiota structure, beyond community composition alone. Here we exploit the remarkable diversity of cichlid fishes and their multiple lake assemblages to investigate a) network features and patterns of microbial associations that were robust to major phylogeographical variables, and b) community structure changes along cichlid dietary shifts. We tackled these objectives using the large gut microbiota sequencing dataset available (nine lakes from Africa and America), building geographical and diet-specific networks and performing comparative analyses. Major findings indicated that lake and continental networks were highly resembling in global topology and node taxonomic composition, suggesting important constraints in the cichlid gut community assembling. A small fraction of the observed co-occurrence pairwises was conserved across all lake assemblages; while the origin and ecological relevance of these core associations remains unclear, their persistence suggests a potential functional role in the cichlid gut. Comparison of carnivores and herbivores-specific networks as well as mapping of diet-specific values on the African Lake Tanganyika network revealed a clear community shift as a function of diet, with an increase in complexity and node taxonomic diversity from carnivores-omnivores-plantkivores to herbivores. More importantly, diet-associated nodes in herbivores formed complex modules of positive interactions. By intersecting results from association patterns and experimental trials, future studies will be directed to test the strength of these microbial associations and predict the outcome of community alterations driven by diet. ImportanceThe gut microbiota is a complex community of interacting bacteria. Predicting patterns of co-occurrence among microbes can help understanding key ecological aspects driving community structure, maintenance and dynamics. Here we showed a powerful application of co-occurrence networks to explore gut bacteria interactions in a primary model system to study animal diversification, the cichlid fishes. Taking advantage of the large scale of phylogeographical and ecological diversity of this fish family, we built gut microbiota networks from distinct lake and continental fish assemblages and performed extensive comparative analyses to retrieve conserved and trait-specific patterns of bacteria associations. Our results identified network features that were independent from the fish biogeography and that indicated an important host selection effect on gut community assembling. Focusing on a single lake assemblage, and therefore excluding the major geographical effect, we observed that the gut microbiota structure dramatically shifted from carnivore to herbivore fishes, with a substantial increase in the number and complexity of microbial interactions.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The role of land use types and water chemical properties in structuring the microbiomes of a connected lakes system 96%
- Skin microbiomes of frogs vary among individuals and body regions, revealing differences that reflect known patterns of chytrid infection 95%
- Facilitative interaction networks in experimental microbial community dynamics 95%
Similar papers in this journal
- Data-driven identification of major axes of functional variation in bacteria 96%
- Cellular life from the three domains and viruses are transcriptionally active in a hypersaline desert community 95%
- Seasonal cycles in a seaweed holobiont: A multiyear time series reveals repetitive microbial shifts and core taxa 94%
Similar papers in this journal
- Metagenomics uncovers dietary adaptations for chitin digestion in the gut microbiota of convergent myrmecophagous mammals 94%
- The signal and the noise - characteristics of antisense RNA in complex microbial communities 94%
- Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.