Comparative Metagenomics Revealed Commonly Enriched Gene Sets in Human Gut Microbiomes
By K. Kurokawa, T. Itoh, T. Kuwahara, K. Oshima, Hidehiro Toh, A. Toyoda, H. Takami, H. Morita, Vineet K. Sharma, Tulika Srivastava and 10 more. DNA Research, 2007
884 citations recorded by the source corpus.
Numerous microbes inhabit the human intestine, many of which are uncharacterized or uncultivable. They form a complex microbial community that deeply affects human physiology. To identify the genomic features common to all human gut microbiomes as well as those variable among them, we performed a large-scale comparative metagenomic analysis of fecal samples from 13 healthy individuals of various ages, including unweaned infants. We found that, while the gut microbiota from unweaned infants were simple and showed a high inter-individual variation in taxonomic and gene composition, those from adults and weaned children were more complex but showed a high functional uniformity regardless of age or sex. In searching for the genes over-represented in gut microbiomes, we identified 237 gene families commonly enriched in adult-type and 136 families in infant-type microbiomes, with a small overlap. An analysis of their predicted functions revealed various strategies employed by each type of microbiota to adapt to its intestinal environment, suggesting that these gene sets encode the core functions of adult and infant-type gut microbiota. By analysing the orphan genes, 647 new gene families were identified to be exclusively present in human intestinal microbiomes. In addition, we discovered a conjugative transposon family explosively amplified in human gut microbiomes, which strongly suggests that the intestine is a ‘hot spot’ for horizontal gene transfer between microbes.
Subfields: Genetics, Molecular Biology, Physiology
View Paper: https://www.semanticscholar.org/paper/adaa16cc69daab12b2e3f5a0055bba9e5533cca9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Rob Knight
- Ivica Letunic
- Patrick D. Schloss
- Peer Bork
- Curtis Huttenhower
- W. D. de Vos
- Peter J. Turnbaugh
- Mihai Pop
In Molecular Biology
- Rob Knight
- Curtis Huttenhower
- Nicola Segata
- J. Cryan
- Peter J. Turnbaugh
- Ruth E. Ley
- Ted G. Dinan
- Xochitl C. Morgan
In Physiology
- Rob Knight
- Peter J. Turnbaugh
- Curtis Huttenhower
- Jeffrey I. Gordon
- Ruth E. Ley
- Catherine A. Lozupone
- Jeroen Raes
- J. Cryan
Citations in the corpus
- Composition of the adult digestive tract bacterial microbiome based on seven mouth surfaces, tonsils, throat and stool samples (2012, background): “Many previous studies of adult American populations have observed the reverse, a preponderance of Firmicutes [15,71-73], and similar observations have been reported in geographically diverse populations [74,75] and in infant gut microbiome colonization investigations [76].”
- Intestinal microbiota in human health and disease: the impact of probiotics (2011, background): “The first metagenomic studies have demonstrated that, compared with the human genome, the human intestinal microbiome is highly enriched for COG and KEGG categories involved in metabolism (Gill et al. 2006; Kurokawa et al. 2007; Turnbaugh et al. 2009).”
- KEGG Mapper for inferring cellular functions from protein sequences (2019, neutral): “Here an example is shown for the combination of human genome (T01001) and a gut metagenome sample (T30003).(11) As shown in Figure 2a, the mapping results are displayed in different tabs with the number of matched pathway maps, and so forth, in parentheses.”
- Functional and comparative metagenomic analysis of bile salt hydrolase activity in the human gut microbiome (2008, methodology): “S3, from 15 human gut metagenomes (6, 7), Sargasso sea (24), soil (25), and the combined gut metagenomes of lean and obese mice (8) were used to calculate and compare the relative abundance of these proteins in each metagenome.”
- Understanding the Holobiont: How microbial metabolites affect human health and shape the immune system (2017, background): “Obese individuals share a functionally similar gut microbiome between them, with reduced but still considerable species diversity (Human Microbiome Project Consortium, 2012; Kurokawa et al., 2007; Qin et al., 2010; Turnbaugh et al., 2009).”
- Next-generation DNA sequencing methods. (2008, background): “Epigenomics: seeks to define the influence of changes to gene expression that are independent of gene sequence studied is the lower intestine of humans, first characterized by 16S rRNA classification (4, 5, 28) and more recently by 454 pyrosequencing in adult humans (16, 36, 48) and in infants (25, ”
- Metagenomic biomarker discovery and explanation (2011, methodology): “The COG profiles of the nine adult and four unweaned infant microbiomes were obtained from the supplemental material of [73] and used unmodified in this study.”
- A Bioinformatician's Guide to Metagenomics (2008, background): “Gut microbiomen of Human healthy Japanese infants and adults Univ of Tokyo (72) Metagene Gut microbiome of Mouse lean and obese Washington Univ (130) Blast Gut viriome of Human healthy adults Genome Institute of Singapore (144) Blast Marine archaeal anaerobic methane oxidation (AOM) communities from”
- Human gut microbiome viewed across age and geography (2012, background): “97% throughout the length of the shortest read(37); and (4) all sequences with significant similarity to human reference genomes (Blastn E-value threshold # 10(25), bitscore $ 50, percentage identity $ 75%) to ensure the continued de-identification of samples.”
- Antibiotics and the gut microbiota. (2014, neutral): “…microbiota from Japanese individuals provided support for these conjugation-conducive features, revealing that a conjugative transposon family (Tn1549-like CTns) was highly prevalent across individuals and abundant within individual metagenomes, accounting for almost 1% of all predicted genes (46).”
- Succession of microbial consortia in the developing infant gut microbiome (2010, background): “This second observation is consistent with other metagenomic analyses of infant gut microbiomes, which reported microbial enzymes that degrade nondigestible polysaccharides of plant origin (2, 5).”
- Escherichia coli induces DNA damage in vivo and triggers genomic instability in mammalian cells (2010, background): “A recent comparative metagenomic analysis of fecal samples from 13 healthy individuals of various ages, including unweaned infants, showed that pks island genes are found in 40% of samples, especially in infants (32).”