| Literature DB >> 30658995 |
Falk Hildebrand1, Lucas Moitinho-Silva1, Sonja Blasche1, Martin T Jahn2, Toni Ingolf Gossmann3, Jaime Huerta-Cepas1,4, Rajna Hercog5, Mechthild Luetge1, Mohammad Bahram6,7, Anna Pryszlak1, Renato J Alves1,8, Sebastian M Waszak9, Ana Zhu1,10, Lumeng Ye11, Paul Igor Costea1, Steven Aalvink12, Clara Belzer12, Sofia K Forslund1,13, Shinichi Sunagawa1,14, Ute Hentschel2, Christoph Merten1, Kiran Raosaheb Patil1, Vladimir Benes1, Peer Bork1,15,16.
Abstract
OBJECTIVE: The composition of the healthy human adult gut microbiome is relatively stable over prolonged periods, and representatives of the most highly abundant and prevalent species have been cultured and described. However, microbial abundances can change on perturbations, such as antibiotics intake, enabling the identification and characterisation of otherwise low abundant species.Entities:
Keywords: antibiotics; bacterial overgrowth; intestinal microbiology; molecular genetics
Mesh:
Substances:
Year: 2019 PMID: 30658995 PMCID: PMC6839795 DOI: 10.1136/gutjnl-2018-317715
Source DB: PubMed Journal: Gut ISSN: 0017-5749 Impact factor: 23.059
Figure 1Discovery and tracking of a novel bacterial species. (A) Composition plot (proportional abundance) of the 14 most abundant species in subject HD.S1 over the experiment duration. (B) The faecal microbial community of subject HD.S1 on days 374 and 377 after antibiotic treatment was characterised by extreme low diversity. The graphs show all genes (coverage >3) assembled from these sample with their guanine-cytosine (GC) content and coverage (online supplementary figures 16 and 17). Each sample is dominated by a single species and visible as denser gene clouds (38-fold and 47-fold higher abundance then second most abundant species in those samples). The coloured dots represent the conserved marker genes29 of five species (colours as in A). The grey squares show 40 conserved marker genes of other species that are very low abundant. (C) Summary of functional potential of U Borkfalki ceftriaxensis based on genome assembly and functional annotation (see online supplementary file 1). Short-chain fatty acids are indicated by yellow background. (D) U B. ceftriaxensis in faecal samples was detected via FISH, showing that it is viable within stool samples. It is a rod-shaped bacterium (white arrows, see online supplementary figure 15 for additional details). The tested sample was HD.S1.377. BMC, bacterial microcompartment, FISH, fluorescence in situ hybridisation.
Figure 2U Borkfalki ceftriaxensis is found in multiple samples, but there is a clear substructure to the population. (A) Genotypes of U B. ceftriaxensis in 37 patients based on all genomic sites, using samples with ≥2× genome coverage. Genotypes are in all cases specific to a subject where time series samples are available, with grey boxes indicating the same host. U B. ceftriaxensis type strain HDS1380 is marked by a white box. U B. ceftriaxensis shows large variation between individuals. The scale bar (5000 nt) corresponds to 0.2% genomic divergence.
Figure 3Phylogenetic maximum likelihood tree of all Firmicutes genera in reference database, based on the AA sequence of 40 conserved genes. U Borkfalki ceftriaxensis placement (red triangle) suggests that it represents a novel family, UComantemaea, as well as a new order, UComantemales, in phylum Firmicutes. Three uncharacterised putative species (MAGs) also belong to this family that were obtained by metagenomic binning before.15 Only non-parametric bootstrap values >80/100 are shown (blue circles). Novel proposed Ruminococcaceae families are shown with arrows, to split this family into monophyletic groups. The outer ring colour shows family assignments of the remaining taxa in the tree. All monophyletic families are collapsed, while remaining families were either paraphyletic or the placement seemed not to fit a monophyletic family origin. Further, species that group in conflict to current naming schemes are marked with purple triangles (online supplementary table 10). The tree is rooted with Escherichia coli, a gamma-proteobacterium. CAG, co-abundance group; IS, incertae sedis; MAG, metagenomic assembled genomes.
Figure 4Microbial responses to antibiotics are reflected in their co-occurrences. (A) Patient-specific (subject HD.S1) species association network for 24 time points. The two monodominant species, U Borkfalki ceftriaxensis and Parabacteroides distasonis, are highlighted with their association networks. These networks differed substantially: UB. ceftriaxensis was positively correlated to typical probiotic, lactose-fermenting bacteria. P. distasonis had only few positive correlations, with most associations being negative (18 associations), which could suggest a competitive or opportunistic role. These two interaction networks represent taxa associated to the first and second response stage, see (B). Nodes are coloured by their taxonomic class. Most associations are coloured grey, except those of U B. ceftriaxensis and P. distasonis, and only node names with associations to these are shown. Association line width and colour corresponds to Spearman correlations. Node size corresponds to average abundance of taxa in all HD.S1 samples. (B) The cumulative abundance of positive (above 0) and negative (below 0) taxa identified as part of the first and second response stage shows the dynamics of these subnetworks over time, coinciding with both antibiotic treatments. (C) Functional potential strongly varies between ecosystem successions (online supplementary tables 12 and 13). Carbohydrate active enzymes (CAZy) were enriched in the second response. Putative pathogenicity genes (PPG) were significantly increased in the first and significantly reduced during seconda response, while for antibiotic resistance genes (ARG) the opposite was true. CAZy, PPG and ARG are scaled by max/min abundance in HD.S1.
Figure 5Species loss after ceftriaxone treatment in subject HD.S1. (A) Comparing components of community variation between time ordered samples revealed a strong community turnover followed by a peak in species loss/gain (ie, nestedness) after ceftriaxone treatment. We hypothesised that this led to permanent loss of certain species in patient HD.S1. (B) Forty-one species could be detected in all four preantibiotic time points, but 10 of these were absent from postantibiotic samples. (C) We further tested the presence of these 10 species with a more targeted approach, mapping metagenomic reads against their reference genomes. Mappings were filtered to include only a ratio of expected (Ecov) and observed (Ocov) horizontal coverage between 0.5 and 2. The occurrence is noted in the lower part of the plot, marking the first detection of a species with an upward triangle and the last observation with a downward triangle. The analysis shows that most species were present at high horizontal coverage before the intervention and generally not observed after the intervention, or with such a low horizontal coverage that observation of their marker genes was statistically unlikely, that is, they are not detectable by marker based approaches. The second antibiotic treatment seems to reduce the surviving species from the initial set. Note that the range of <10% genome coverage could as well represent mobile elements or highly conserved genes being preserved in other species and is therefore the threshold applied to confirm species detection.