Ant metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA170250 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR655327.fastq.gz | Fastqsanger.gz | |||
| SRR655328.fastq.gz | Fastqsanger.gz | |||
| SRR655329.fastq.gz | Fastqsanger.gz | |||
| SRR655330.fastq.gz | Fastqsanger.gz | |||
| SRR655331.fastq.gz | Fastqsanger.gz |
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Project description:Instrument data for publication "Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens", ISME J. 2012 Sep; 6(9): 1688-1701. PMID: 22378535. PMCID: PMC3498920
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Project description:Leaf-cutting ants of the genera Acromyrmex and Atta live in mutualistic symbiosis with a basidiomycete fungus (Leucocoprinus gongylophorus), which they cultivate as fungal gardens in underground nest chambers. The ants provide the fungus with a growth substrate consisting of freshly cut leaf fragments. After new leaf fragments are brought into the nest, the ants chew them into smaller pieces and apply droplets of fecal fluid to the leaf pulp before depositing this mixed substrate in the fungus garden and inoculating it with small tufts of mycelium from older parts of the garden. Previous work has shown that the fecal fluid contains a range of digestive enzymes including proteases, amylases, chitinases, cellulases, pectinases, hemicellulases and laccases, and that most of these enzymes are produced by the fungal symbiont in specialized structures called gongylidia that the ants eat. After ingestion, the enzymes apparently pass unharmed through the alimentary channel of the ants and end up in the fecal fluid. Most likely this complex system is an adaptation of the ant-fungus symbiosis to a herbivorous lifestyle, as the ancient ancestors of the ants and the fungus lived as hunter-gatherers and saprotrophs, respectively. The promise of fecal fluid for getting insight into the molecular adaptations that enables the ant-fungus holosymbiont to live as a herbivore, led us to investigate the fecal fluid proteome using LC-MS/MS in order to get a more comprehensive picture of the repertoire of proteins present.
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Project description:The rate, timing, and mode of species dispersal is recognized as a key driver of the structure and function of communities of macroorganisms, and may be one ecological process that determines the diversity of microbiomes. Many previous studies have quantified the modes and mechanisms of bacterial motility using monocultures of a few model bacterial species. But most microbes live in multispecies microbial communities, where direct interactions between microbes may inhibit or facilitate dispersal through a number of physical (e.g., hydrodynamic) and biological (e.g., chemotaxis) mechanisms, which remain largely unexplored. Using cheese rinds as a model microbiome, we demonstrate that physical networks created by filamentous fungi can impact the extent of small-scale bacterial dispersal and can shape the composition of microbiomes. From the cheese rind of Saint Nectaire, we serendipitously observed the bacterium Serratia proteamaculans actively spreads on networks formed by the fungus Mucor. By experimentally recreating these pairwise interactions in the lab, we show that Serratia spreads on actively growing and previously established fungal networks. The extent of symbiotic dispersal is dependent on the fungal network: diffuse and fast-growing Mucor networks provide the greatest dispersal facilitation of the Serratia species, while dense and slow-growing Penicillium networks provide limited dispersal facilitation. Fungal-mediated dispersal occurs in closely related Serratia species isolated from other environments, suggesting that this bacterial-fungal interaction is widespread in nature. Both RNA-seq and transposon mutagenesis point to specific molecular mechanisms that play key roles in this bacterial-fungal interaction, including chitin utilization and flagellin biosynthesis. By manipulating the presence and type of fungal networks in multispecies communities, we provide the first evidence that fungal networks shape the composition of bacterial communities, with Mucor networks shifting experimental bacterial communities to complete dominance by motile Proteobacteria. Collectively, our work demonstrates that these strong biophysical interactions between bacterial and fungi can have community-level consequences and may be operating in many other microbiomes.
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