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Record W4393686012 · doi:10.5281/zenodo.7808597

Metagenomics uncovers dietary adaptations for chitin digestion in the gut microbiota of convergent myrmecophagous mammals

2023· dataset· en· W4393686012 on OpenAlexaff
Teullet, Tilak, Magdeleine, Schaub, Weyer, Panaino, Fuller, Loughry, Avenant, De Thoisy, Borrel, Delsuc

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Fredericton
FundersHorizon 2020 Framework ProgrammeAgence Nationale de la Recherche
KeywordsMetagenomicsChitinDigestion (alchemy)BiologyGut floraZoologyEcologyEvolutionary biologyComputational biologyChemistryBiochemistryGene

Abstract

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Metagenomics uncovers dietary adaptations for chitin digestion in the gut microbiota of convergent myrmecophagous mammals Sophie Teulleta,#, Marie-Ka Tilaka, Amandine Magdeleinea, Roxane Schaubb,c, Nora M. Weyerd, Wendy Panainod,e, Andrea Fullerd, W. J. Loughryf, Nico L. Avenantg, Benoit de Thoisyh,i, Guillaume Borrelj and Frédéric Delsuca,# aInstitut des Sciences de l’Evolution de Montpellier (ISEM), Univ Montpellier, CNRS, IRD, Montpellier, France bCIC AG/Inserm 1424, Centre Hospitalier de Cayenne Andrée Rosemon, Cayenne, French Guiana cTropical Biome and immunopathology, Université de Guyane, Labex CEBA, DFR Santé, Cayenne, French Guiana dBrain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa eCentre for African Ecology, School of Animals, Plant, and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa fDepartment of Biology, Valdosta State University, Valdosta, GA, USA gNational Museum and Centre for Environmental Management, University of the Free State, Bloemfontein, South Africa hInstitut Pasteur de la Guyane, Cayenne, French Guiana, France iKwata NGO, Cayenne, French Guiana, France jInstitut Pasteur, Université Paris Cité, UMR CNRS 6047, Evolutionary Biology of the Microbial Cell, Paris, France #Corresponding authors: sophie.teullet@umontpellier.fr; frederic.delsuc@umontpellier.fr Abstract In mammals, myrmecophagy (ant and termite consumption) represents a striking example of dietary convergence. This trait evolved independently at least five times in placentals with myrmecophagous species comprising aardvarks, anteaters, some armadillos, pangolins, and aardwolves. The gut microbiome plays an important role in dietary adaptation, and previous analyses of 16S rRNA metabarcoding data have revealed convergence in the composition of the gut microbiota among some myrmecophagous species. However, the functions performed by these gut bacterial symbionts and their potential role in the digestion of prey chitinous exoskeletons remain open questions. Using long- and short-read sequencing of fecal samples, we generated 29 gut metagenomes from nine myrmecophagous and closely related insectivorous species sampled in French Guiana, South Africa, and the USA. From these, we reconstructed 314 high-quality bacterial genome bins of which 132 carried chitinase genes, highlighting their potential role in insect prey digestion. These chitinolytic bacteria belonged mainly to the family Lachnospiraceae, and some were likely convergently recruited in the different myrmecophagous species as they were detected in several host orders (i.e., Enterococcus faecalis, Blautia sp), suggesting that they could be directly involved in the adaptation to myrmecophagy. Others were found to be more host-specific, possibly reflecting phylogenetic constraints and environmental influences. Overall, our results highlight the potential role of the gut microbiome in chitin digestion in myrmecophagous mammals and provide the basis for future comparative studies performed at the mammalian scale to further unravel the mechanisms underlying the convergent adaptation to myrmecophagy. Figures and Tables Main_figures.zip Figure. 1. Phylogenetic position of the 314 high-quality selected bins reconstructed from 29 gut metagenomes of the nine focal myrmecophagous species within a reference prokaryotic phylogeny. A: Phylogeny of the 314 selected bins (red branches) with 2496 prokaryote reference genomes. Circles respectively indicate (from inner to outer circles): the bacterial phyla and kingdom to which these genome bins were assigned based on the Genome Taxonomy Database (Chaumeil et al, 2020). Clades, where a subtree was defined, are highlighted in blue for the Firmicutes (Fig 1B), green for the Bacteroidetes, and pink for the Proteobacteria (Figs S1 A and B respectively). B: Subtree within Firmicutes showing myrmecophagous-specific clades (blue highlights; dark blue corresponds to the three clades mentioned in the results, light blue to the other clades). The outer circle indicates the bacterial family to which these genome bins were assigned based on the Genome Taxonomy Database. Figure. 2. Phylogeny of the 394 GH18 sequences identified in 132 high-quality selected bins reconstructed from 29 gut metagenomes of the nine focal myrmecophagous species and relatives. Red branches indicate the 237 sequences having an active chitinolytic site (DXXDXDXE). Circles respectively indicate (from inner to outer circles): the bacterial family and phyla of the bin the sequence was retrieved from. Colored sequence names indicate the host species. Colored circles at certain nodes indicate enzymes to which sequences are similar when blasting them against the NCBI non-redundant protein database. Figure 3. Detection of the 314 high-quality selected bins (lines) in the 29 gut metagenomes (columns) of the nine focal species. Each square indicates the detection of a bin in a sample as estimated by anvi’o v7 (Eren et al, 2021). Names of bins are indicated on the left with red indicating bins detected in at least one soil sample (detection > 0.25) (Fig S4 and detection table available via Zenodo). Phylogenetic relationships of host species, distinguished by different color strips, are represented at the bottom of the graph. Columns on the right indicate (from left to right): the number of GH18 sequences identified in each bin (from 0 to 17), the bin’s taxonomic phylum, class, order, and family. The phylogeny of the 314 selected bins inferred with PhyloPhlAn v3.0.58 (Asnicar et al, 2020) is also represented on the right of the graph (see Fig S2). Silhouettes were downloaded from phylopic.org. Figure 4. Distribution of chitinolytic selected bins (red links) among the nine focal myrmecophagous species and relatives. Phylogenies of the 314 high-quality selected bins (Fig S2) and of the nine host species (downloaded from timetree.org) are represented respectively on the left and the right of the graph. Links illustrate, for each bin, in which host species the bin was detected (detection threshold > 0.25). Red links indicate bins in which at least one GH18 sequence with an active chitinolytic site (DXXDXDXE) was found (chitinolytic bins). The size of the circles at the tips of the host phylogeny is proportional to the number of samples (n = 1 for D. kap; n = 2 for D. nov, C. uni and M. tri; n = 3 for T. tet and O. afe; n = 4 for D. sp. nov FG; n = 6 for P. cri and S. tem). Bins’ names are indicated at the tip of the bins’ phylogeny and main bacterial phyla are indicated by colored vertical bars. This graph was done with the cophylo R package within the phytools suite (Revell, 2012). Silhouettes downloaded from phylopic.org. Table 1. Detailed sample information for the 33 fecal samples collected. Supplementary Materials Supplementary_material_Teullet_etal_2023.pdf contains supplementary figures (S1-4) and tables (S2-3). Supplementary_results_Teullet_etal_2023.pdf includes a comparison of genome statistics of the selected bins reconstructed from the long-read vs the short-read datasets, a phylogeny of the set of selected bins before dereplication (n = 407) and a comparison of the distribution of shared and specific genome bins carrying GH18 among host orders. Supplementary_material_files.zip contains a file for each of the supplementary material figures (S1-4) and tables (S2-3). Supplementary_results_files.zip contains a file for each of the three figures presented in the supplementary results. Table S1. Raw results of the different analyses conducted on each gut metagenome to reconstruct high-quality genome bins from raw metagenomic data for each dataset (long- and short-reads). Zenodo supplementary files Assemblies Long-read_metagenomic_assemblies_polished.zip contains 31 long-read metagenomes assembled with metaFlye strain v2.9 and polished with short reads using Pilon v1.4, which were used for binning. Long-read_metagenomic_assemblies_not_polished.zip contains 33 long-read metagenomes assembled with metaFlye strain v2.9 before polishing. Short-read_metagenomic_assemblies.zip contains 31 short-read metagenomes assembled with metaSPAdes and MEGAHIT. N.B: Two samples were not sequenced using Illumina short reads (DASY_M1746 and DASY_VLD168), only long reads were generated and assembled for these two samples and are made available here. As these assemblies could not be polished, these samples were not included in downstream analyses. Two samples were highly contaminated by host reads (CAB_M3141 and MYR_M5295) and not used for downstream analyses. As they were still assembled with the other samples, the corresponding metagenomes are made available here. Binning: genome bins and dereplication results High-quality_selected_bins_dereplicated.zip contains the 314 high-quality selected bins (>90% completion, <5% redundancy) reconstructed from long- and short-read metagenomes with metaBAT2 and dereplicated with dRep at 98% ANI. metaBAT2_short-read_assemblies_bins.zip contains all bins reconstructed from the short-read assemblies with metaBAT2 (i.e, output of metaBAT2). metaBAT2_long-read_assemblies_bi

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.277
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
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