Bacteroides uniformis
ENA first public
2024-09-21
INSDC center name
EMBL Heidelberg
INSDC status
public
Submitter Id
spire_mag_01580972
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
megahit 1.2.9
binning parameters
default
binning software
metabat 2.12.1
broad-scale environmental context
human digestive system
broker name
EBI-EMG
collection date
2016-06-16
completeness score
99.66
completeness software
checkm2 0.1.3
contamination score
0.95
environmental medium
stool
geographic location (country and/or sea)
Ireland
geographic location (latitude)
53.39458800
geographic location (longitude)
-6.35547900
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
human gut
metagenomic source
human gut metagenome
project name
The gut microbiome has begun to be characterised in athlete groups, albeit, to date, only across a subset of sports. This study aimed to determine if the gut microbiome and metabolome differed across sports classification groups among elite Irish athletes, many of whom were participating in the 2016 Summer Olympics. Faecal and urine samples were collected from 37 international level athletes. Faecal samples were prepared for shotgun metagenomic sequencing and faecal and urine samples underwent metabolomic profiling. Dietary intake data was collected using food frequency questionnaires and translated into daily intakes using FETA (Food Frequency Questionnaire European Prospective Investigation into Cancer and Nutrition Tool for Analysis). Differences were observed in the composition and functional capacity of the gut microbiome of athletes across sports groups that were distinguished on the basis of the level of dynamic and static components. The microbiomes of athletes participating in sports with a high dynamic component were found to be most distinct compositionally, while those of athletes participating in sports with high dynamic and static components were the most functionally distinct. Additionally, both microbial (faecal) and human (urine) derived metabolites were found to vary between sports classification groups. In particular cis-aconitate, succinic acid and lactate, in urine samples, and creatinine, in faeces, were found to be significantly different between groups. These differences were evident despite the absence of significant differences in diet. Differences in the gut microbiome and metabolome between groups, in the absence of dietary changes, indicate a role for training load or type as a contributory factor. Further exploration of this hypothesis has the potential to benefit athletes, aspiring athletes and the general public.
sample derived from
SAMEA5665393
sample name
spire_mag_01580972
scientific_name
Bacteroides uniformis
sequencing method
NextSeq 500
taxonomic identity marker
multi-marker approach