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Ribosomal RNA Surveys of Human-
   Occupied Indoor Environments

             Norm Pace
            CU-Boulder
        nrpace@colorado.edu
Outline

•  The microbial world is a complex place -
     How to make sense of “diversity”?

•  The molecular view of the natural microbial
     world.

•  Sampling the indoor environment – aerosols.
Kim Ross

 Kim Ross
Making Sense of Sequences:
                Molecular Phylogeny

1.  Align sequences so that “homologous” residues
    are juxtaposed.


2.  Count the number of differences between pairs of
    sequences; this is some measure of “evolutionary
    distance” that separates the organisms.


3.  Calculate the “tree”, the relatedness map, that most
    accurately represents all the pairwise differences.
You are here -->
“Metagenomics”
Sample  DNA  rDNA PCR library  clone  sequence

     “       “       “          Next-gen multiplex
Expansion of the Bacterial Tree
E.g. Gene contents of different
 “strains” of “Escherichia coli”




                        Strain B

  Strain A




             Strain C
Indoor Microbiology Project              (sponsored by A.P. Sloan Fndn.)

Laura Baumgartner
    • NYC Subway system aerosols (7 stations, 3 connected
           sites, multiple seasons.
Piret Koll
    • School aerosols (3 in Denver–Boulder area)
    • Homeless shelter aerosols (2 in Denver–Boulder area)
    • Health setting aerosols (2 hospitals, 1 clinic in CO)
    • Hotel HVAC (1, Atlanta)
    • Office building aerosols (2, Atlanta)
    • University setting aerosols (3 in TX, several in CO)

Kim Ross
    • Municipal water distribution, source-to-POU (many
        samples in Boulder and Centennial systems, some
        overlap with a concurrent 454 source water survey.

Kristen Peterson
    • Public swimming facility aerosols and biofilms (5 in CO,
         2 in TX)
Sampling aerosols: NON-TRIVIAL!
Evolution of the Sceptor Industries Omni 3000
What	
  are	
  we	
  finding	
  generally?	
  
• 	
  The	
  microbiology	
  of	
  the	
  human	
  environment	
  phylogene:cally	
  is	
  rela:vely	
  simple,	
  
mainly	
  only	
  ~5	
  of	
  ~100	
  known	
  phyla.	
  	
  Few	
  “candidate	
  phyla”	
  in	
  ~100K	
  sequences.	
  

• 	
  Sequences	
  are	
  seldom	
  iden:cal	
  to	
  a	
  previously	
  determined	
  sequence,	
  but	
  many	
  
“bin”	
  with	
  cultured	
  species	
  at	
  the	
  “genus”	
  level	
  (95%)	
  or	
  even	
  “species”	
  level	
  (97%).	
  	
  	
  

• 	
  Every	
  site	
  sampled	
  differs	
  in	
  the	
  detail,	
  but	
  generali:es	
  emerge	
  for	
  
each	
  kind	
  of	
  environment.	
  

• 	
  Indoor	
  aerosol	
  microbiology	
  is	
  significantly/mainly	
  human-­‐shed	
  microbiology.	
  

• 	
  Water	
  microbiology	
  is	
  idiosyncra:c	
  with	
  source	
  and	
  system,	
  and	
  in	
  some	
  seSngs	
  is	
  
of	
  poten:al	
  health	
  concern.	
  	
  
How similar are our samples to the Human Microbiome?
Where in the home? -

    Any place moist




    Who’s in your showerhead?
Examples of Showerhead Biofilm Swab
                         Results
                          VSM5Q1u
                       showerhead swab
                            N=85
            Streptococcus oralis                                                                     BSD2Q1u
                          Dietzia maris                                                           showerhead swab
   Staphylococcus                  Moraxella osloensis                           Chlamydiae
                                                                                                       N=81
       capitis                                                                       1%
 Staphylococcus                                                              Novel Group
                                                                                 2%
   epidermidis
                                                   Mycobacterium     Methylococcaceae
Sphingomonas                                                                2%
  yanoikuyae                                           avium
                                                                     Flavobacterium
Blastomonas                                                                2%
                                                                                                              Methylocystis
  natatoria                                                        Mycobacterium                                  34%
                                                                     gordonae
                                                                        7%


Escherichia coli                                                      Bacillus
                                                                        7%




Delftia acidovorans                              Mycobacterium
                                                   gordonae          Bacteroidetes
                                                                         11%
                                           Mycobacterium other                                             Sphingomonas
                   Methylobacterium                                      Uncultured Beta Proteo
                                                                                                                16%
                          sp.                                                     13%




Mycobacterium avium Positive                                             M. avium Negative
-cause of MAC pulmonary infections
-have seen in 35/54 Showerheads
analyzed
Water/Showerhead Swab Comparison
                      VPM5W1u,
            water from pipe pre-showerhead
                         N=86



           Escherichia coli
     Novosphingobium
         lentum                                                                                                                VSM5Q1u
Mycobacterium avium                                                                                                         showerhead swab
      Mycobacterium                                                                                                              N=85
        gordonae                               Methylobacter
                                               psychrophilus                                                         Streptococcus oralis
Blastomonas natatoria
                                                                                                                                    Dietzia maris

                                                                 Dir. of Water Flow	

                                                          Moraxella osloensis

                                                                                               Staphylococcus capitis
                                                                                                    Staphylococcus
                                                                                                      epidermidis
        Methylobacterium sp.
                                                                                         Sphingomonas yanoikuyae                                                 Mycobacterium avium


                                                                                         Blastomonas natatoria


                        Mycobacterium
                          gordonae
                                                   VSM5W1u,                                       Escherichia coli
                Legionella waltersii
                                        water collected post-showerhead
         Blastomonas natatoria
                                                      N=90
                 Bdellovibrio
                                                                                                   Delftia acidovorans
                bacteriovorus                                                                                                                                Mycobacterium gordonae
        Rhodobacter blastica
                                                                                                                                                     Mycobacterium other
        Sphingomonas sp.                                                                                               Methylobacterium sp.

     Novosphingobium sp.


                                                   Methylobacterium sp.




               Methylobacter
               psychrophilus
The End




nrpace@colorado.edu

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Pace.indoor air2011

  • 1. Ribosomal RNA Surveys of Human- Occupied Indoor Environments Norm Pace CU-Boulder nrpace@colorado.edu
  • 2. Outline •  The microbial world is a complex place - How to make sense of “diversity”? •  The molecular view of the natural microbial world. •  Sampling the indoor environment – aerosols.
  • 4. Making Sense of Sequences: Molecular Phylogeny 1.  Align sequences so that “homologous” residues are juxtaposed. 2.  Count the number of differences between pairs of sequences; this is some measure of “evolutionary distance” that separates the organisms. 3.  Calculate the “tree”, the relatedness map, that most accurately represents all the pairwise differences.
  • 7. Sample  DNA  rDNA PCR library  clone  sequence “ “ “  Next-gen multiplex
  • 8. Expansion of the Bacterial Tree
  • 9. E.g. Gene contents of different “strains” of “Escherichia coli” Strain B Strain A Strain C
  • 10. Indoor Microbiology Project (sponsored by A.P. Sloan Fndn.) Laura Baumgartner • NYC Subway system aerosols (7 stations, 3 connected sites, multiple seasons. Piret Koll • School aerosols (3 in Denver–Boulder area) • Homeless shelter aerosols (2 in Denver–Boulder area) • Health setting aerosols (2 hospitals, 1 clinic in CO) • Hotel HVAC (1, Atlanta) • Office building aerosols (2, Atlanta) • University setting aerosols (3 in TX, several in CO) Kim Ross • Municipal water distribution, source-to-POU (many samples in Boulder and Centennial systems, some overlap with a concurrent 454 source water survey. Kristen Peterson • Public swimming facility aerosols and biofilms (5 in CO, 2 in TX)
  • 12. Evolution of the Sceptor Industries Omni 3000
  • 13. What  are  we  finding  generally?   •   The  microbiology  of  the  human  environment  phylogene:cally  is  rela:vely  simple,   mainly  only  ~5  of  ~100  known  phyla.    Few  “candidate  phyla”  in  ~100K  sequences.   •   Sequences  are  seldom  iden:cal  to  a  previously  determined  sequence,  but  many   “bin”  with  cultured  species  at  the  “genus”  level  (95%)  or  even  “species”  level  (97%).       •   Every  site  sampled  differs  in  the  detail,  but  generali:es  emerge  for   each  kind  of  environment.   •   Indoor  aerosol  microbiology  is  significantly/mainly  human-­‐shed  microbiology.   •   Water  microbiology  is  idiosyncra:c  with  source  and  system,  and  in  some  seSngs  is   of  poten:al  health  concern.    
  • 14. How similar are our samples to the Human Microbiome?
  • 15. Where in the home? - Any place moist Who’s in your showerhead?
  • 16. Examples of Showerhead Biofilm Swab Results VSM5Q1u showerhead swab N=85 Streptococcus oralis BSD2Q1u Dietzia maris showerhead swab Staphylococcus Moraxella osloensis Chlamydiae N=81 capitis 1% Staphylococcus Novel Group 2% epidermidis Mycobacterium Methylococcaceae Sphingomonas 2% yanoikuyae avium Flavobacterium Blastomonas 2% Methylocystis natatoria Mycobacterium 34% gordonae 7% Escherichia coli Bacillus 7% Delftia acidovorans Mycobacterium gordonae Bacteroidetes 11% Mycobacterium other Sphingomonas Methylobacterium Uncultured Beta Proteo 16% sp. 13% Mycobacterium avium Positive M. avium Negative -cause of MAC pulmonary infections -have seen in 35/54 Showerheads analyzed
  • 17. Water/Showerhead Swab Comparison VPM5W1u, water from pipe pre-showerhead N=86 Escherichia coli Novosphingobium lentum VSM5Q1u Mycobacterium avium showerhead swab Mycobacterium N=85 gordonae Methylobacter psychrophilus Streptococcus oralis Blastomonas natatoria Dietzia maris Dir. of Water Flow Moraxella osloensis Staphylococcus capitis Staphylococcus epidermidis Methylobacterium sp. Sphingomonas yanoikuyae Mycobacterium avium Blastomonas natatoria Mycobacterium gordonae VSM5W1u, Escherichia coli Legionella waltersii water collected post-showerhead Blastomonas natatoria N=90 Bdellovibrio Delftia acidovorans bacteriovorus Mycobacterium gordonae Rhodobacter blastica Mycobacterium other Sphingomonas sp. Methylobacterium sp. Novosphingobium sp. Methylobacterium sp. Methylobacter psychrophilus