Difference between revisions of "Microbiome"

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* Two fundamentally different approaches can be used to model microbiome metabolism: genome-based multi-species models and metagenomics-based supra-organism models.
 
* Two fundamentally different approaches can be used to model microbiome metabolism: genome-based multi-species models and metagenomics-based supra-organism models.
  
* Preliminary studies of these modeling approaches demonstrate tremendous potential but several challenges should be addressed before a comprehensive modeling framework can be
+
* Preliminary studies of these modeling approaches demonstrate tremendous potential but several challenges should be addressed before a comprehensive modeling framework can be introduced.
introduced.
+
 
 +
<blockquote>
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Individual human genomes have been sequenced, and there are approximately 3 million to 4 million variations with respect to the reference genome (Frazer et al., 2009). It is thought that some of these variants will cause phenotypic differences that can lead to disease or apparent physical traits. It is estimated that 3–8% of the human genome is functional (Siepel et al., 2005), so it is unlikely that all the variation in the 3 Gb human genome will lead to phenotypic differences. Rather, functional variants may be localized to the 90–240 Mb of human genome that contains transcribed coding genes, regulatory elements, RNA genes, and other functional elements.
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<br/>
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By contrast, the human microbiome has extensive diversity. Each location (skin, mouth, intestine, etc) has its own metagenome. Recent studies have suggested that healthy individuals have up to 15,000 species-level phylotypes in their gastrointestinal tracts as determined by 16S rRNA sequencing (>97% identity) (Peterson et al., 2008) (Fig. 1.1 of this chapter), and that the two major phylogenetic groups
 +
present are the Firmicutes and Bacteriodetes. The average genome size of sequenced organisms from these groups is 3.4 Mb (Liolios et al., 2008), and the percentage of these genomes that codes for protein-coding genes is approximately 92%. Therefore, the functional part of the gastrointestinal microbiome can be estimated to be approximately 47,000 Mb (15,000 × 3.4 × 0.92), which is more than two orders of magnitude greater than the above-mentioned estimate of the functional part of the human genome.
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<br/>
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...
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<br/>
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The microbiome is an ecosystem in which the various members maintain equilibrium. So far, it appears that many diseases are associated with an abnormal proportion of the same taxonomic groups that are present in healthy individuals. For example, patients with Crohn’s disease show a lower than normal frequency of bacteria from the phylum Bacteriodetes in their gastrointestinal tract (e.g., Gophna et al., 2006), whereas patients suffering from active celiac disease have a higher than normal frequency of Bacteriodetes (e.g., Nadal et al., 2007). Biodiversity also plays a role in the microbiome.
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*Source: ''Metagenomics of the Human Body''<ref name="Nelson2011">Jonathan H. Badger, Pauline C. Ng, and J. Craig Venter (2011). "Chapter 1: The Human Genome, Microbiomes, and Disease" in ''Metagenomics of the Human Body''. K.E. Nelson (ed.). C Springer Science+Business Media, LLC 2011. {{doi|10.1007/978-1-4419-7089-3_1}}.</ref>
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</blockquote>
  
 
==Human microbiome composition==
 
==Human microbiome composition==
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* [[wikipedia:Directed graph]]
 
* [[wikipedia:Directed graph]]
 
* flux balance analysis (FBA)
 
* flux balance analysis (FBA)
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* [[wikipedia:linkage disequilibrium]]
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* [[wikipedia:List of human flora]]
  
 
==Glossary==
 
==Glossary==
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;bacteriotherapy : the modulation of one's microbiota via antibiotics and probiotics or the transplantation of a complete microbiota into a recipient. (see: ''Clostridium difficile'')
 
;bacteriotherapy : the modulation of one's microbiota via antibiotics and probiotics or the transplantation of a complete microbiota into a recipient. (see: ''Clostridium difficile'')
 
;ecosystomics : a high-throughput systematic study of all realizable ecosystems in a given environment.
 
;ecosystomics : a high-throughput systematic study of all realizable ecosystems in a given environment.
 +
;operational taxonomic units (OTUs) : given the number of sequences collected and a pairwise sequence identity (ID%) cutoff. A 99% ID level correlates with accepted strain classifications, likewise 97% with species and 95% with genus.<ref name="Nelson2011"/>
 +
:A low value will group highly diverse organisms together, underestimating biodiversity, but a high value may overestimate biodiversity, particularly in the case of next-generation sequencing methods, as they often have a higher rate of sequencing error than the traditional Sanger method.
 +
;probiotics : (from the Greek "pro bios", meaning "for, or promoting, life") are foods or supplements containing live bacteria thought to promote health.
 +
:While yogurt and other fermented products have traditionally been considered "health food", studies of the human microbiome promise to understand what effect they have on the composition of the microbiome and ultimately health. Studies have shown that probiotics can manipulate the microbiome, as well as affect the intestinal barrier (Zyrek et al., 2007) and the immune system (Fitzpatrick et al., 2007).<ref name="Nelson2011"/>
 +
;prebiotics : oligosaccharides or complex saccharides that stimulate the growth or activity of the beneficial commensal bacteria that already are present in the host.
  
 
==Keywords==
 
==Keywords==
 
systems biology; metabolic models; human microbiome; metagenomics; reverse ecology; ecosystomics
 
systems biology; metabolic models; human microbiome; metagenomics; reverse ecology; ecosystomics
 +
 +
==List of people involved with microbiome research==
 +
Elhanan Borenstein, Jonathan H. Badger, Pauline C. Ng, and J. Craig Venter, Mark J. Pallen
  
 
==References==
 
==References==

Revision as of 01:41, 23 July 2012

A microbiome is the totality of microbes, their genetic elements (genomes), and environmental interactions in a particular environment. The term "microbiome" was coined by Joshua Lederberg, who argued that microorganisms inhabiting the human body should be included as part of the human genome, because of their influence on human physiology. The human body contains over 10 times more microbial cells than human cells.[1][2][3]

Microbiomes are being characterized in many other environments as well, including soil, seawater and freshwater systems.

Overview of human microbiome

  • The human microbiome is a complex biological system — interactions between numerous genes and between the various species comprising the microbiome markedly affect its function, dynamics and impact on the host.
  • Studying the human microbiome calls for a systems-based research and for system-level modeling, ultimately leading to a better and more profound understanding of the microbiome.
  • Computational systems biology of in silico metabolic models proved extremely useful in studying microbial metabolism.
  • Two fundamentally different approaches can be used to model microbiome metabolism: genome-based multi-species models and metagenomics-based supra-organism models.
  • Preliminary studies of these modeling approaches demonstrate tremendous potential but several challenges should be addressed before a comprehensive modeling framework can be introduced.

Individual human genomes have been sequenced, and there are approximately 3 million to 4 million variations with respect to the reference genome (Frazer et al., 2009). It is thought that some of these variants will cause phenotypic differences that can lead to disease or apparent physical traits. It is estimated that 3–8% of the human genome is functional (Siepel et al., 2005), so it is unlikely that all the variation in the 3 Gb human genome will lead to phenotypic differences. Rather, functional variants may be localized to the 90–240 Mb of human genome that contains transcribed coding genes, regulatory elements, RNA genes, and other functional elements.

By contrast, the human microbiome has extensive diversity. Each location (skin, mouth, intestine, etc) has its own metagenome. Recent studies have suggested that healthy individuals have up to 15,000 species-level phylotypes in their gastrointestinal tracts as determined by 16S rRNA sequencing (>97% identity) (Peterson et al., 2008) (Fig. 1.1 of this chapter), and that the two major phylogenetic groups present are the Firmicutes and Bacteriodetes. The average genome size of sequenced organisms from these groups is 3.4 Mb (Liolios et al., 2008), and the percentage of these genomes that codes for protein-coding genes is approximately 92%. Therefore, the functional part of the gastrointestinal microbiome can be estimated to be approximately 47,000 Mb (15,000 × 3.4 × 0.92), which is more than two orders of magnitude greater than the above-mentioned estimate of the functional part of the human genome.
...
The microbiome is an ecosystem in which the various members maintain equilibrium. So far, it appears that many diseases are associated with an abnormal proportion of the same taxonomic groups that are present in healthy individuals. For example, patients with Crohn’s disease show a lower than normal frequency of bacteria from the phylum Bacteriodetes in their gastrointestinal tract (e.g., Gophna et al., 2006), whereas patients suffering from active celiac disease have a higher than normal frequency of Bacteriodetes (e.g., Nadal et al., 2007). Biodiversity also plays a role in the microbiome.

  • Source: Metagenomics of the Human Body[4]

Human microbiome composition

Anatomic regions of the gut

  • Over 100 trillion organisms (1014</sup>)
  • 100 fold more genes in our gut then in us
  • Upper GI tract: 102 – 104 cells/ml
    • Lactobacilli, streptococci, H pylori
  • Ileum: 106-1012 cells /ml, upper bacteria plus
    • Faculative anaerobes: Enterobacteriaceae
    • Obligate anaerobes: Bacteroides, Veillonella, Fusobacterium, and Clostridium species
  • Colon: distal human colon is the most biodense natural ecosystem known (1010-1012 cells/ml)
    • Complex and diverse
    • Comprise most of our bacterial biomass
  • Firmicutes, bacteroidetes, actinobacteria, proteobacteria, and others.

Gut flora and metabolism

Source: Hooper, et al. Annu Rev Nutr, 2002.

  • Microbial genomes enhance our metabolic activity
  • May indirectly or directly effect our metabolism
  • The colon is very active metabolically
    • 20-70 gms of carbos and 5-20 gms of protein/day
    • Over 100 kcal per day!
  • Mass of colonic microbiome = single kidney
  • Metabolically as active as the liver
  • Energy salvage: esp via the short-chain fatty acids
    • Acetate, butyrate, propionate (SCFAs)
    • Absorbed into body and used by liver and others organs
    • Acetate and propionate modulate glucose metabolism in the liver and adipocytes (glycemic index)
    • 50-70% of colonic cell energy derived from butyrate
  • Mice and humans have different gut flora but the two largest divisions are shared in common:
    • Bacteroidetes (Gram -)
    • Firmicutes (Gram +)
    These flora change in response to diet and obesity of host

Regulators

  • Archae: 1-2 % of mouse and human flora
  • Represent a major microbial group in gut flora Increased in obese mice
  • Many are methanogenic : Methanobacter smithii
  • Converts CO2 and H2 gas to methane
  • By decreasing the partial pressure of H2 gas these bacteria can drive bacterial metabolism
  • The flora of obese mice are more efficient at extracting energy: "The Energy Harvest".

Research questions

Systems biology research has already revolutionized genomics and could similarly transform metagenomic research and particularly research of the human microbiome.

Systems based research represents a unique opportunity for addressing several of the most pressing questions concerning the human microbiome:

  • What determines the assembly of the microbiome and what role do interspecific interactions play in its composition?
  • Which factors govern the response of the microbiome to various perturbations?
  • How does the microbiome, as a whole, interact with the human host and how does it impact human health?

Online resources for the human microbiome

The following are a list of useful online resources for systems biology and modeling of the human microbiome:

  • Microbial genomic data and analysis
    • IMG
    • DACC
    • GOLD
    • Microbes online
    • RAST
  • Metagenomic data and analysis
    • IMG/M
    • MG-RAST
    • METAREP
  • Metabolic databases
    • KEGG
    • MetaCyc
    • Brenda
  • Metabolic model reconstruction, visualization, and analysis
    • The Model Seed
    • Systems Biology Research Group
    • iPath
    • Pathway Tools
    • Cytoscape
    • Cobra
  • Reverse ecology software
    • NetSeed

See also

Concepts

Glossary

metatran-scriptomic
meta-metabolomic
auxotrophy 
(Gr. αὐξάνω "to increase"; τροφή "nourishment") is most commonly defined as the inability of an organism to synthesize a particular organic compound required for its growth (as defined by IUPAC). An auxotroph is an organism that displays this characteristic; auxotrophic is the corresponding adjective.
bacteriotherapy 
the modulation of one's microbiota via antibiotics and probiotics or the transplantation of a complete microbiota into a recipient. (see: Clostridium difficile)
ecosystomics 
a high-throughput systematic study of all realizable ecosystems in a given environment.
operational taxonomic units (OTUs) 
given the number of sequences collected and a pairwise sequence identity (ID%) cutoff. A 99% ID level correlates with accepted strain classifications, likewise 97% with species and 95% with genus.[4]
A low value will group highly diverse organisms together, underestimating biodiversity, but a high value may overestimate biodiversity, particularly in the case of next-generation sequencing methods, as they often have a higher rate of sequencing error than the traditional Sanger method.
probiotics 
(from the Greek "pro bios", meaning "for, or promoting, life") are foods or supplements containing live bacteria thought to promote health.
While yogurt and other fermented products have traditionally been considered "health food", studies of the human microbiome promise to understand what effect they have on the composition of the microbiome and ultimately health. Studies have shown that probiotics can manipulate the microbiome, as well as affect the intestinal barrier (Zyrek et al., 2007) and the immune system (Fitzpatrick et al., 2007).[4]
prebiotics 
oligosaccharides or complex saccharides that stimulate the growth or activity of the beneficial commensal bacteria that already are present in the host.

Keywords

systems biology; metabolic models; human microbiome; metagenomics; reverse ecology; ecosystomics

List of people involved with microbiome research

Elhanan Borenstein, Jonathan H. Badger, Pauline C. Ng, and J. Craig Venter, Mark J. Pallen

References

  1. Zimmer, Carl (13 July 2010). "How Microbes Defend and Define Us". New York Times.
  2. Because bacteria are 10-100 times smaller than human cells, the entire microbiome weighs about 200 grams.
  3. Coyle WJ. "The Human Microbiome: The Undiscovered Country".
  4. 4.0 4.1 4.2 Jonathan H. Badger, Pauline C. Ng, and J. Craig Venter (2011). "Chapter 1: The Human Genome, Microbiomes, and Disease" in Metagenomics of the Human Body. K.E. Nelson (ed.). C Springer Science+Business Media, LLC 2011. DOI:10.1007/978-1-4419-7089-3_1 .

External links