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Comparative Analysis of Korean Human Gut Microbio
         ta by Barcoded Pyrosequencing



                  Young-Do Nam, PhD.


              Traditional Food Research Team
               Korea Food Research Institute
Human genome project

        105    106    107     108      109        1010 DNA Base Pairs
                                                      Genome size :3.3 Billion Bases
                                                      But only contains 30,000 genes




Microbes

                            (1.8 Million Bases)

                                          Russell Dolittle, Nature .419, p. 494 (2002)


Human genome contains around 30,000 genes rather than
 the estimated 100,000 protein coding genes
Human Microbiome Project




Human Microbiome Project (HMP) was initiated in US, Europe,
 Japan, China and many other countries.

To characterize “microbiome” and examine the relatedness between human
health and these gut microbiota
Roles of gut microbiota

Co-evolution with these great microbial ecosystems serves important fu
nctions for the human host by presenting

Nutrients from diets
Resisting the colonization of pathogens
stimulating the proliferation of the intestinal epithelium cells
Regulating fat storage of host.


In addition, numerous diseases such as
Type 1 diabetes (T1D)
Inflammatory bowel disease (IBD)
Gastric or colonic cancers

is known to be linked to dysbiosis of microbial communities
Microbial communities in human body




                                                                  Virus




Almost all the surfaces of the human body are occupied by habitat
 specific microbes
The colon contains 1011-1012 microbial cells per mL with two orders
 higher genes than human genes
Contains the three major domains of life: Eukaryota, Archaea, and
 Bacteria as well as viruses
Cultivation based analysis




Only 20-40% of bacterial species have been cultivated from
 the human intestine
History of molecular methods


                                          Carl Woese                                       G. Muyzer
                                                              Norman         Ed Delong
                                         uses ribosomal                                    DGGE :the
  Cohn,                                                      Pace uses                                                      James Tiedje
                                       RNA analysis to                       developed    most useful in
 Pasteur,                              recognize a third
                                                             rRNA as a       a powerful      current                        report the first
   Koch,                                                       tool for       method;                                       environmental
                                        form of life, the                                   microbial
Metchnikoff                                                   microbial         FISH                                          microarray
                                            Archaea                                         ecology
                                                              ecology.


  1875        1953        1960            1977               1986            1989 1993 1995                      1998            2002
         Watson&Crick의 Jacob&Monod          Sanger           Kary Mullis      Craig Venter         Mark Shena: C. Venter
         DNA double helix               determine the          uses a heat         at TIGR          Microarrays sequenced the
                          lac operon
                                         sequence of        stable enzyme       elucidate the       prepared by human genome
                                           all 5,375        from Thermus       first complete       high-speed using the whole
                                        nucleotides of       aquaticus to          genome         robotic printing genome
                                        bacteriophage           establish      sequence of a             of        shotgun
                                        phi-X174, the         polymerase      microorganism:      complementary technique
                                        first complete      chain reaction     Haemophilus        DNAs on glass
                                        genome of an          technology.         influenza.
                                           organism.
Massive sequencing technology




ABI 3730
Sanger Capillary Based Seq
   70,000 bp/run                     ?
Pyrosequencing




DNA Beads are generated using Emulsion PCR

DNA Beads are placed in wells

Nucleotide sequences are decoded by fluorescence
Multiplex Barcoded Pyrosequencing

   Sample specific barcode sequence
Data analysis pipeline
                                            Barcoded
                                         pyrosequencing
 Sample collection
                                              data
                                             Trimming
                                              quality
                                              filtering


   DNA extraction                            Barcode
                                              sorting
                                             alignment


                                                OTU
   Amplification                            determination

   With barcoded
                            Merge file                       Classification,
       primer               Distance                           Diversity
                             matrix                           estimation


                           Community                        Community
  Pyro-sequencing          Comparison                       composition
                        (UniFrac, UPGMA)                     (Diversity)

Wet-lab analysis
Data analysis pipeline
                                            Barcoded
                                         pyrosequencing
Sample collection
                                              data
                                              Trimming
                                               quality
                                               filtering


 DNA extraction                               Barcode
                                               sorting
                                              alignment


                                                OTU
 Amplification                              determination

 With barcoded
                          Merge file                         Classification,
     primer               Distance                             Diversity
                           matrix                             estimation


                         Community                          Community
Pyro-sequencing          Comparison                         composition
                      (UniFrac, UPGMA)                       (Diversity)

                                       Dry-lab analysis
OTU determination




                                                       8,600 Phylotypes




Total 303,402 sequences
Average 8,427 reads per individual
Average 771 species level phylotypes per individual
Rarefaction and coverages
                                                         Reaching plateau
                                                         but not saturated




Patterns Reaching plateau but failing to reach a saturation phase
Unseen OTUs still existed in the original samples
Good’s coverage of overall sequence was 90%
Majority of bacterial phylotypes is successfully identified
Phylum level diversities


                Firmicutes

           Bacteroidetes
                                                                  Eckburg et al. Science (2005)




                                                                    From Ley et al. Cell (2006)




The phylum level diversity of Korean gut microbiota is similar
 to the other human populations
Family level diversity



                                         Ruminococaceae


                               Bacteroidaceae




The most dominant family differed between individuals and the
 proportion of sequences attributable to the families Prevotellaceae
 and Ruminococcaceae
Taxa distribution

                                                   711 species level phylotypes




                                                                          Ave, 107




                                                                          Ave, 32.6

                                                                          Ave, 9.2

Diversity of specific taxa at the phylum to genus levels is relatively
 low but extremely high at the species and strain levels
Core Korean gut micobiota



                ID   Core gut microbiota
                 1   Bacteroides
                 2   Parabacteroides
                 3   Prevotella
                 4   Uncultured butyrate-producing bacterial group
                 5   Uncultured human intestinal Firmicutes group
                 6   Clostridium
                 7   Eubacterium
                 8   Faecalibacterium
                 9   Lachnospira
                10   Oscillibacter
                11   Roseburia
                12   Ruminococcus
                13   Subdoligranulum
                14   Fusobacterium
Core Korean gut micobiota
                                             Taxonomic rank                                          aNumber   of
Phylum          Class          Family                         Species                                  OTU
Bacteroidetes   Bacteroidia    Bacteroidaceae                 Bacteroides galacturonicus                2
Bacteroidetes   Bacteroidia    Bacteroidaceae                 Bacteroides sp. CO55                      1
Bacteroidetes   Bacteroidia    Bacteroidaceae                 Bacteroides sp. CS3                       1
Bacteroidetes   Bacteroidia    Bacteroidaceae                 Bacteroides uniformis                     1
Bacteroidetes   Bacteroidia    Bacteroidaceae                 Bacteroides vulgatus                      2
Bacteroidetes   Bacteroidia    Porphyromonadaceae             Parabacteroides merdae                    1
Firmicutes      Clostridia     Butyrate-producing bacterium   Butyrate-producing bacterium A1-86        1
Firmicutes      Clostridia     Butyrate-producing bacterium   Butyrate-producing bacterium A2-207       2
Firmicutes      Clostridia     Butyrate-producing bacterium   Butyrate-producing bacterium M21/2        3
Firmicutes      Clostridia     Butyrate-producing bacterium   Butyrate-producing bacterium SL6/1/1      1
Firmicutes      Clostridia     Butyrate-producing bacterium   Butyrate-producing bacterium SSC/2        1
Firmicutes      Clostridia     Butyrate-producing bacterium   Butyrate-producing bacterium T1-815       1
Firmicutes      Clostridia     Clostridiales bacterium        Clostridiales bacterium 80/4              1
Firmicutes      Clostridia     Clostridiaceae                 Clostridiaceae bacterium DJF LS13         1
Firmicutes      Clostridia     Clostridiaceae                 Clostridium bolteae                       1
Firmicutes      Clostridia     Clostridiaceae                 Clostridium orbiscindens                  1
Firmicutes      Clostridia     Clostridiaceae                 Clostridium saccharolyticum               1
Firmicutes      Clostridia     Eubacteriaceae                 Eubacterium tenue                         1
Firmicutes      Clostridia     Eubacteriaceae                 Eubacterium ventriosum                    1
Firmicutes      Clostridia     Ruminococcaceae                Faecalibacterium prausnitzii              4
Firmicutes      Clostridia     Ruminococcaceae                Faecalibacterium sp. DJF VR20             2
Firmicutes      Clostridia     Ruminococcaceae                Ruminococcus gnavus                       1
Firmicutes      Clostridia     Ruminococcaceae                Ruminococcus sp. CB3                      2
Firmicutes      Clostridia     Ruminococcaceae                Ruminococcus sp. CJ60                     2
Firmicutes      Clostridia     Ruminococcaceae                Ruminococcus sp. K-1                      1
Firmicutes      Clostridia     Ruminococcaceae                Ruminococcus sp. SC103                    1
Firmicutes      Clostridia     Ruminococcaceae                Subdoligranulum sp. DJF VR33k2            1
Firmicutes      Unclassified   Unclassified                   Firmicutes bacterium EG20                 1
Unclassified    Unclassified   Unclassified                   Human intestinal bacterium PUE            1
Unclassified    Unclassified   Unclassified                   Human intestinal firmicute CO35           2
Unclassified    Unclassified   Unclassified                   Rumen bacterium 8/9293-21                 1
Host specificity of gut microbiota




                    The un-weighted UPGMA clustering
                    analysis revealed that each individual have
                    specific microbial members.
Temporal stability of gut microbiota




  The composition of gut microbiota ordinarily fluctuated
   through the life.
Community Comparison

                                    100%
                                                                        Uncultured

                                                                        Ruminococcus
                                    80%
                                                                        Faecalibacterium

                                                                        Clostridium
                                    60%                                 Prevotella

                                                                        Bacteroides

                                    40%                                 Bifidobacterium



                                    20%



                                     0%
                                           Korea   China   US   Japan


Each country member clustered together.
Korean takes higher dietary fibers than other country members
Korean have higher abundance of Butyrate producing bacteria
Summary of this study

Overall composition of Korean gut microbiota is similar to that of other country
members

Korean individuals contain diverse and host specific microbial diversity at
species level.

The member of korean gut microbiota stably maintained but the abundance of
each community member seems to continuously fluctuate through the life

Eeach country member has region specific gut microbiota. And Korean s have
higher level of butyrate producing bacteria rather than other county members

The difference of gut microbiota seems to come from factors of host genotype
and diet styles
Thank you!

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6.남영도110923

  • 1. Comparative Analysis of Korean Human Gut Microbio ta by Barcoded Pyrosequencing Young-Do Nam, PhD. Traditional Food Research Team Korea Food Research Institute
  • 2. Human genome project 105 106 107 108 109 1010 DNA Base Pairs Genome size :3.3 Billion Bases But only contains 30,000 genes Microbes (1.8 Million Bases) Russell Dolittle, Nature .419, p. 494 (2002) Human genome contains around 30,000 genes rather than the estimated 100,000 protein coding genes
  • 3. Human Microbiome Project Human Microbiome Project (HMP) was initiated in US, Europe, Japan, China and many other countries. To characterize “microbiome” and examine the relatedness between human health and these gut microbiota
  • 4. Roles of gut microbiota Co-evolution with these great microbial ecosystems serves important fu nctions for the human host by presenting Nutrients from diets Resisting the colonization of pathogens stimulating the proliferation of the intestinal epithelium cells Regulating fat storage of host. In addition, numerous diseases such as Type 1 diabetes (T1D) Inflammatory bowel disease (IBD) Gastric or colonic cancers is known to be linked to dysbiosis of microbial communities
  • 5. Microbial communities in human body Virus Almost all the surfaces of the human body are occupied by habitat specific microbes The colon contains 1011-1012 microbial cells per mL with two orders higher genes than human genes Contains the three major domains of life: Eukaryota, Archaea, and Bacteria as well as viruses
  • 6. Cultivation based analysis Only 20-40% of bacterial species have been cultivated from the human intestine
  • 7. History of molecular methods Carl Woese G. Muyzer Norman Ed Delong uses ribosomal DGGE :the Cohn, Pace uses James Tiedje RNA analysis to developed most useful in Pasteur, recognize a third rRNA as a a powerful current report the first Koch, tool for method; environmental form of life, the microbial Metchnikoff microbial FISH microarray Archaea ecology ecology. 1875 1953 1960 1977 1986 1989 1993 1995 1998 2002 Watson&Crick의 Jacob&Monod Sanger Kary Mullis Craig Venter Mark Shena: C. Venter DNA double helix determine the uses a heat at TIGR Microarrays sequenced the lac operon sequence of stable enzyme elucidate the prepared by human genome all 5,375 from Thermus first complete high-speed using the whole nucleotides of aquaticus to genome robotic printing genome bacteriophage establish sequence of a of shotgun phi-X174, the polymerase microorganism: complementary technique first complete chain reaction Haemophilus DNAs on glass genome of an technology. influenza. organism.
  • 8. Massive sequencing technology ABI 3730 Sanger Capillary Based Seq 70,000 bp/run ?
  • 9. Pyrosequencing DNA Beads are generated using Emulsion PCR DNA Beads are placed in wells Nucleotide sequences are decoded by fluorescence
  • 10. Multiplex Barcoded Pyrosequencing Sample specific barcode sequence
  • 11. Data analysis pipeline Barcoded pyrosequencing Sample collection data Trimming quality filtering DNA extraction Barcode sorting alignment OTU Amplification determination With barcoded Merge file Classification, primer Distance Diversity matrix estimation Community Community Pyro-sequencing Comparison composition (UniFrac, UPGMA) (Diversity) Wet-lab analysis
  • 12. Data analysis pipeline Barcoded pyrosequencing Sample collection data Trimming quality filtering DNA extraction Barcode sorting alignment OTU Amplification determination With barcoded Merge file Classification, primer Distance Diversity matrix estimation Community Community Pyro-sequencing Comparison composition (UniFrac, UPGMA) (Diversity) Dry-lab analysis
  • 13. OTU determination 8,600 Phylotypes Total 303,402 sequences Average 8,427 reads per individual Average 771 species level phylotypes per individual
  • 14. Rarefaction and coverages Reaching plateau but not saturated Patterns Reaching plateau but failing to reach a saturation phase Unseen OTUs still existed in the original samples Good’s coverage of overall sequence was 90% Majority of bacterial phylotypes is successfully identified
  • 15. Phylum level diversities Firmicutes Bacteroidetes Eckburg et al. Science (2005) From Ley et al. Cell (2006) The phylum level diversity of Korean gut microbiota is similar to the other human populations
  • 16. Family level diversity Ruminococaceae Bacteroidaceae The most dominant family differed between individuals and the proportion of sequences attributable to the families Prevotellaceae and Ruminococcaceae
  • 17. Taxa distribution 711 species level phylotypes Ave, 107 Ave, 32.6 Ave, 9.2 Diversity of specific taxa at the phylum to genus levels is relatively low but extremely high at the species and strain levels
  • 18. Core Korean gut micobiota ID Core gut microbiota 1 Bacteroides 2 Parabacteroides 3 Prevotella 4 Uncultured butyrate-producing bacterial group 5 Uncultured human intestinal Firmicutes group 6 Clostridium 7 Eubacterium 8 Faecalibacterium 9 Lachnospira 10 Oscillibacter 11 Roseburia 12 Ruminococcus 13 Subdoligranulum 14 Fusobacterium
  • 19. Core Korean gut micobiota Taxonomic rank aNumber of Phylum Class Family Species OTU Bacteroidetes Bacteroidia Bacteroidaceae Bacteroides galacturonicus 2 Bacteroidetes Bacteroidia Bacteroidaceae Bacteroides sp. CO55 1 Bacteroidetes Bacteroidia Bacteroidaceae Bacteroides sp. CS3 1 Bacteroidetes Bacteroidia Bacteroidaceae Bacteroides uniformis 1 Bacteroidetes Bacteroidia Bacteroidaceae Bacteroides vulgatus 2 Bacteroidetes Bacteroidia Porphyromonadaceae Parabacteroides merdae 1 Firmicutes Clostridia Butyrate-producing bacterium Butyrate-producing bacterium A1-86 1 Firmicutes Clostridia Butyrate-producing bacterium Butyrate-producing bacterium A2-207 2 Firmicutes Clostridia Butyrate-producing bacterium Butyrate-producing bacterium M21/2 3 Firmicutes Clostridia Butyrate-producing bacterium Butyrate-producing bacterium SL6/1/1 1 Firmicutes Clostridia Butyrate-producing bacterium Butyrate-producing bacterium SSC/2 1 Firmicutes Clostridia Butyrate-producing bacterium Butyrate-producing bacterium T1-815 1 Firmicutes Clostridia Clostridiales bacterium Clostridiales bacterium 80/4 1 Firmicutes Clostridia Clostridiaceae Clostridiaceae bacterium DJF LS13 1 Firmicutes Clostridia Clostridiaceae Clostridium bolteae 1 Firmicutes Clostridia Clostridiaceae Clostridium orbiscindens 1 Firmicutes Clostridia Clostridiaceae Clostridium saccharolyticum 1 Firmicutes Clostridia Eubacteriaceae Eubacterium tenue 1 Firmicutes Clostridia Eubacteriaceae Eubacterium ventriosum 1 Firmicutes Clostridia Ruminococcaceae Faecalibacterium prausnitzii 4 Firmicutes Clostridia Ruminococcaceae Faecalibacterium sp. DJF VR20 2 Firmicutes Clostridia Ruminococcaceae Ruminococcus gnavus 1 Firmicutes Clostridia Ruminococcaceae Ruminococcus sp. CB3 2 Firmicutes Clostridia Ruminococcaceae Ruminococcus sp. CJ60 2 Firmicutes Clostridia Ruminococcaceae Ruminococcus sp. K-1 1 Firmicutes Clostridia Ruminococcaceae Ruminococcus sp. SC103 1 Firmicutes Clostridia Ruminococcaceae Subdoligranulum sp. DJF VR33k2 1 Firmicutes Unclassified Unclassified Firmicutes bacterium EG20 1 Unclassified Unclassified Unclassified Human intestinal bacterium PUE 1 Unclassified Unclassified Unclassified Human intestinal firmicute CO35 2 Unclassified Unclassified Unclassified Rumen bacterium 8/9293-21 1
  • 20. Host specificity of gut microbiota The un-weighted UPGMA clustering analysis revealed that each individual have specific microbial members.
  • 21. Temporal stability of gut microbiota The composition of gut microbiota ordinarily fluctuated through the life.
  • 22. Community Comparison 100% Uncultured Ruminococcus 80% Faecalibacterium Clostridium 60% Prevotella Bacteroides 40% Bifidobacterium 20% 0% Korea China US Japan Each country member clustered together. Korean takes higher dietary fibers than other country members Korean have higher abundance of Butyrate producing bacteria
  • 23. Summary of this study Overall composition of Korean gut microbiota is similar to that of other country members Korean individuals contain diverse and host specific microbial diversity at species level. The member of korean gut microbiota stably maintained but the abundance of each community member seems to continuously fluctuate through the life Eeach country member has region specific gut microbiota. And Korean s have higher level of butyrate producing bacteria rather than other county members The difference of gut microbiota seems to come from factors of host genotype and diet styles