Beneficial microbial associations enhance the fitness of most living organisms, and wood-feeding insects offer some of the most striking examples of this. Odontotaenius disjunctus is a wood-feeding beetle that possesses a digestive tract with four main compartments, each of which contains well-differentiated microbial populations, suggesting that anatomical properties and separation of these compartments may enhance energy extraction from woody biomass. Here, using integrated chemical analyses, we demonstrate that lignocellulose deconstruction and fermentation occur sequentially across compartments, and that selection for microbial groups and their metabolic pathways is facilitated by gut anatomical features. Metaproteogenomics showed that higher oxygen concentration in the midgut drives lignocellulose depolymerization, while a thicker gut wall in the anterior hindgut reduces oxygen diffusion and favours hydrogen accumulation, facilitating fermentation, homoacetogenesis and nitrogen fixation. We demonstrate that depolymerization continues in the posterior hindgut, and that the beetle excretes an energy- and nutrient-rich product on which its offspring subsist and develop. Our results show that the establishment of beneficial microbial partners within a host requires both the acquisition of the microorganisms and the formation of specific habitats within the host to promote key microbial metabolic functions. Together, gut anatomical properties and microbial functional assembly enable lignocellulose deconstruction and colony subsistence on an extremely nutrient-poor diet.
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Metagenomic data are publicly available at the National Center for Biotechnology Information under the BioProject PRJNA510434. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium with the dataset identifier PXD012200. Metabolomics data can be found at https://osf.io/qey67/.
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This work was funded by the Department of Energy’s Genomic Science Program (grant SCW1039). Part of this work was performed at Lawrence Berkeley National Laboratory and Lawrence Livermore National Laboratory under United States Department of Energy contract numbers DE-AC02-05CH11231 and DE-AC52-07NA27344, respectively. A portion of this research was also performed under an Environmental Molecular Sciences Laboratory Science Theme Project (awarded to E.L.B.), which is a Department of Energy Office of Science User Facility sponsored by the Office of Biological and Environmental Research and operated under contract DE-AC05-76RL01830 (EMSL). DNA sequencing was performed at the Vincent J. Coates Genomics Sequencing Laboratory at the University of California Berkeley, supported by NIH S10 Instrumentation grants S10RR029668 and S10RR027303. We thank K. Burnum-Johnson for helpful discussion.
The authors declare no competing interests.
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Figures 1–5, Supplementary Tables 1–3 and legends for Supplementary Datasets.
Fasta file containing all metagenome-assembled contigs.
Fasta file containing all the metagenome predicted proteins. Proteins were predicted from assembled contigs using the Prodigal package.
Compilation of average coverage and protein detections for the different assembled contigs and predicted/annotated proteins by genome bin.
Tab 1 contains the compilation of coverage distribution of identified genes of interest and calculated statistical parameters (mean, standard error, P-value and results of pairwise comparisons). Tab 2 contains the rank distribution of genomes/bins extracted from
Bacterial composition of the metagenome of O. disjuntus. Taxonomy rank is presented at the level of order.
Archaeal composition of the metagenome of O. disjuntus. Taxonomy rank is presented at the level of order.