Natural and after colon washing fecal samples: the two sides of the coin for investigating the human gut microbiome
Elisabetta PianconeiD, Bruno FossoiD, Marinella MarzanoiD, Mariangela De RobertisiD, Elisabetta Notario, Annarita OrangeriD, Caterina ManzariiD, Silvia BrunoiD, Grazia VisciiD, Giuseppe DefazioiD, Anna Maria D’ErchiaiD, Ermes FilomenaiD, Dominga Maio, Martina Minelli, Ilaria Vergallo, Mauro Minelli, Graziano PesoleiD
Abstract
To date there are several studies focusing on the importance of gut microbiome for human health, however the selection of a universal sampling matrix representative of the microbial biodiversity associated to the gastrointestinal (GI) tract, still represents a challenge. Here we present a study in which, through a deep metabarcoding analysis of the 16S rRNA gene, we compared two sampling matrices, feces (F) and colonic lavage liquid (LL), in order to evaluate their accuracy to represent the complexity of the human gut microbiome. A training set of 37 volunteers was attained and paired F and LL samples were collected from each subject. A preliminary absolute quantification of total 16S rDNA, performed by droplet digital PCR (ddPCR), confirmed that sequencing and taxonomic analysis were performed on same total bacterial abundance obtained from the two sampling methods. The taxonomic analysis of paired samples revealed that, although specific taxa were predominantly or exclusively observed in LL samples, as well as other taxa were detectable only or were predominant in stool, the microbiomes of the paired samples F and LL in the same subject hold overlapping taxonomic composition. Moreover, LL samples revealed a higher biodiversity than stool at all taxonomic ranks, as demonstrated by the Shannon Index and the Inverse Simpsons Index. We also found greater inter-individual variability than intra-individual variability in both sample matrices. Finally, functional differences were unveiled in the gut microbiome detected in the F and LL samples. A significant overrepresentation of 22 and 13 metabolic pathways, mainly occurring in Firmicutes and Proteobacteria, was observed in gut microbiota detected in feces and LL samples, respectively. This suggests that LL samples may allow for the detection of microbes adhering to the intestinal mucosal surface as members of the resident flora that are not easily detectable in stool, most likely representative of a diet-influenced transient microbiota. This first comparative study on feces and LL samples for the study of the human gut microbiome demonstrates that the use of both types of sample matrices may represent a possible choice to obtain a more complete view of the human gut microbiota in response to different biological and clinical questions.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 16
- FWCI
- 0.98
- Field percentile
- top 28%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- On the robustness of inference of association with the gut microbiota in stool, swab and mucosal tissue samples
S. Sun, X. Zhu, … A. A. Fodor·bioRxiv·Feb 4, 2021
- Influence of fecal collection conditions and 16S rRNA gene sequencing protocols at two centers on human gut microbiota analysis
Jocelyn Sietsma Penington, Megan A. S. Penno, … Peter Vuillermin·Scientific ReportsPeer-reviewed·Mar 6, 2018
- A Novel Approach Towards Less Invasive Multi 'Omics Gut Analyses: A Pilot Study
A. J. Berlinberg, A. Brar, … K. A. Kuhn·bioRxiv·Nov 24, 2021
- A Validated LC-MS/MS Method for Quantifying Phenolic Acids, Lignans, and Enterolignans from Human Fecal Samples
Chris A. Dicksion, Darrian N. Chao, … Elizabeth N. Bess·ACS Nutrition SciencePeer-reviewed·Jun 11, 2026
- Reconstruction and dynamics of human intestinal microbiome observed in situ
- Investigation of the impact of stool collection methods on the metabolomics analysis/profiles of infant fecal samples
C.-M. Homann, S. Dizzell, … J. C. Stearns·bioRxiv·Sep 21, 2021