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The gut mycobiome of the Human Microbiome Project healthy cohort
by
Ross, Matthew C.
, Ajami, Nadim J.
, Stewart, Christopher J.
, Gibbs, Richard A.
, Muzny, Donna M.
, Smith, Daniel P.
, Gesell, Jonathan R.
, Metcalf, Ginger A.
, Nash, Andrea K.
, Wong, Matthew C.
, Auchtung, Thomas A.
, Petrosino, Joseph F.
in
Analysis
/ Bacteria
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Candida
/ Candida - classification
/ Candida - genetics
/ Candida - isolation & purification
/ Candida albicans
/ Cohort Studies
/ Disease
/ DNA sequencing
/ DNA, Ribosomal Spacer - genetics
/ Fecal microbiome
/ Feces - microbiology
/ Fungal microbiome
/ Fungi
/ Fungi - classification
/ Fungi - genetics
/ Fungi - isolation & purification
/ Gastrointestinal Microbiome - genetics
/ Genera
/ Genetic Variation
/ Healthy Volunteers
/ High-Throughput Nucleotide Sequencing - methods
/ HMP
/ Humans
/ Infections
/ Intestinal microflora
/ Malassezia
/ Malassezia - classification
/ Malassezia - genetics
/ Malassezia - isolation & purification
/ Medical Microbiology
/ Metagenomics - methods
/ Microbial Ecology
/ Microbial Genetics and Genomics
/ Microbiology
/ Microbiome
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Mycobiome
/ RNA, Ribosomal, 18S - genetics
/ rRNA 18S
/ Saccharomyces
/ Saccharomyces - classification
/ Saccharomyces - genetics
/ Saccharomyces - isolation & purification
/ Saccharomyces cerevisiae
/ Sequence Analysis, DNA
/ Spacer
/ Studies
/ Taxonomy
/ Virology
/ Volunteers
2017
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The gut mycobiome of the Human Microbiome Project healthy cohort
by
Ross, Matthew C.
, Ajami, Nadim J.
, Stewart, Christopher J.
, Gibbs, Richard A.
, Muzny, Donna M.
, Smith, Daniel P.
, Gesell, Jonathan R.
, Metcalf, Ginger A.
, Nash, Andrea K.
, Wong, Matthew C.
, Auchtung, Thomas A.
, Petrosino, Joseph F.
in
Analysis
/ Bacteria
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Candida
/ Candida - classification
/ Candida - genetics
/ Candida - isolation & purification
/ Candida albicans
/ Cohort Studies
/ Disease
/ DNA sequencing
/ DNA, Ribosomal Spacer - genetics
/ Fecal microbiome
/ Feces - microbiology
/ Fungal microbiome
/ Fungi
/ Fungi - classification
/ Fungi - genetics
/ Fungi - isolation & purification
/ Gastrointestinal Microbiome - genetics
/ Genera
/ Genetic Variation
/ Healthy Volunteers
/ High-Throughput Nucleotide Sequencing - methods
/ HMP
/ Humans
/ Infections
/ Intestinal microflora
/ Malassezia
/ Malassezia - classification
/ Malassezia - genetics
/ Malassezia - isolation & purification
/ Medical Microbiology
/ Metagenomics - methods
/ Microbial Ecology
/ Microbial Genetics and Genomics
/ Microbiology
/ Microbiome
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Mycobiome
/ RNA, Ribosomal, 18S - genetics
/ rRNA 18S
/ Saccharomyces
/ Saccharomyces - classification
/ Saccharomyces - genetics
/ Saccharomyces - isolation & purification
/ Saccharomyces cerevisiae
/ Sequence Analysis, DNA
/ Spacer
/ Studies
/ Taxonomy
/ Virology
/ Volunteers
2017
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The gut mycobiome of the Human Microbiome Project healthy cohort
by
Ross, Matthew C.
, Ajami, Nadim J.
, Stewart, Christopher J.
, Gibbs, Richard A.
, Muzny, Donna M.
, Smith, Daniel P.
, Gesell, Jonathan R.
, Metcalf, Ginger A.
, Nash, Andrea K.
, Wong, Matthew C.
, Auchtung, Thomas A.
, Petrosino, Joseph F.
in
Analysis
/ Bacteria
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Candida
/ Candida - classification
/ Candida - genetics
/ Candida - isolation & purification
/ Candida albicans
/ Cohort Studies
/ Disease
/ DNA sequencing
/ DNA, Ribosomal Spacer - genetics
/ Fecal microbiome
/ Feces - microbiology
/ Fungal microbiome
/ Fungi
/ Fungi - classification
/ Fungi - genetics
/ Fungi - isolation & purification
/ Gastrointestinal Microbiome - genetics
/ Genera
/ Genetic Variation
/ Healthy Volunteers
/ High-Throughput Nucleotide Sequencing - methods
/ HMP
/ Humans
/ Infections
/ Intestinal microflora
/ Malassezia
/ Malassezia - classification
/ Malassezia - genetics
/ Malassezia - isolation & purification
/ Medical Microbiology
/ Metagenomics - methods
/ Microbial Ecology
/ Microbial Genetics and Genomics
/ Microbiology
/ Microbiome
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Mycobiome
/ RNA, Ribosomal, 18S - genetics
/ rRNA 18S
/ Saccharomyces
/ Saccharomyces - classification
/ Saccharomyces - genetics
/ Saccharomyces - isolation & purification
/ Saccharomyces cerevisiae
/ Sequence Analysis, DNA
/ Spacer
/ Studies
/ Taxonomy
/ Virology
/ Volunteers
2017
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The gut mycobiome of the Human Microbiome Project healthy cohort
Journal Article
The gut mycobiome of the Human Microbiome Project healthy cohort
2017
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Overview
Background
Most studies describing the human gut microbiome in healthy and diseased states have emphasized the bacterial component, but the fungal microbiome (i.e., the mycobiome) is beginning to gain recognition as a fundamental part of our microbiome. To date, human gut mycobiome studies have primarily been disease centric or in small cohorts of healthy individuals. To contribute to existing knowledge of the human mycobiome, we investigated the gut mycobiome of the Human Microbiome Project (HMP) cohort by sequencing the Internal Transcribed Spacer 2 (ITS2) region as well as the 18S rRNA gene.
Results
Three hundred seventeen HMP stool samples were analyzed by ITS2 sequencing. Fecal fungal diversity was significantly lower in comparison to bacterial diversity. Yeast dominated the samples, comprising eight of the top 15 most abundant genera. Specifically, fungal communities were characterized by a high prevalence of
Saccharomyces
,
Malassezia
, and
Candida
, with
S. cerevisiae
,
M. restricta
, and
C. albicans
operational taxonomic units (OTUs) present in 96.8, 88.3, and 80.8% of samples, respectively. There was a high degree of inter- and intra-volunteer variability in fungal communities. However,
S. cerevisiae
,
M. restricta
, and
C. albicans
OTUs were found in 92.2, 78.3, and 63.6% of volunteers, respectively, in all samples donated over an approximately 1-year period. Metagenomic and 18S rRNA gene sequencing data agreed with ITS2 results; however, ITS2 sequencing provided greater resolution of the relatively low abundance mycobiome constituents.
Conclusions
Compared to bacterial communities, the human gut mycobiome is low in diversity and dominated by yeast including
Saccharomyces
,
Malassezia
, and
Candida
. Both inter- and intra-volunteer variability in the HMP cohort were high, revealing that unlike bacterial communities, an individual’s mycobiome is no more similar to itself over time than to another person’s. Nonetheless, several fungal species persisted across a majority of samples, evidence that a core gut mycobiome may exist. ITS2 sequencing data provided greater resolution of the mycobiome membership compared to metagenomic and 18S rRNA gene sequencing data, suggesting that it is a more sensitive method for studying the mycobiome of stool samples.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Bacteria
/ Biomedical and Life Sciences
/ Candida
/ Candida - isolation & purification
/ Disease
/ DNA, Ribosomal Spacer - genetics
/ Fungi
/ Fungi - isolation & purification
/ Gastrointestinal Microbiome - genetics
/ Genera
/ High-Throughput Nucleotide Sequencing - methods
/ HMP
/ Humans
/ Malassezia - isolation & purification
/ Microbial Genetics and Genomics
/ Microbiota (Symbiotic organisms)
/ RNA, Ribosomal, 18S - genetics
/ rRNA 18S
/ Saccharomyces - classification
/ Saccharomyces - isolation & purification
/ Spacer
/ Studies
/ Taxonomy
/ Virology
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