Metagenomics uncovers dietary adaptations for chitin digestion in the gut microbiota of convergent myrmecophagous mammals
Notice bibliographique
Résumé
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
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».