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Human  Microbiome  Conference   Vancouver,  BC   March  10-­‐12,  2011   HMP  Microblog   h4p://futureofgenomicsblog.org/HMP/   Status  of  the  NI...
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Human  Microbiome  Conference   Vancouver,  BC   March  10-­‐12,  2011  

HMP  Microblog   h4p://futureofgenomicsblog.org/HMP/  

Status  of  the  NIH  Human   Microbiome  Project   George  Weinstock   for   The  NIH  HMP  ConsorKum  

Metagenomics  Unfolds  

You  are   here  

HMP  Mission   The  goal  of  the  NIH  Human  Microbiome  Project   is  to  characterize  the  microbes  that  inhabit  the   human  body  and  examine  whether  changes  in   the  microbiome  can  be  related  to  health  and   disease.   URL:  h4p://nihroadmap.nih.gov/hmp/      h4p://hmpdacc.org/  

Subjects  

The  HMP  Model  

16S  rRNA  =  bar  code   idenKfier  of  species.   Take  a  species  census  

Samples  

Sources  of   strains   Catalog  of  Reference   Sequences  

Microbial   CommuniKes  

SG  =  shotgun  sequencing.   Sample  every  gene  in  the   community  

Metagenomics  

Virome   Transcriptome   DB  of  16S  Sequences  

SG   454   Illumina  

16S  rRNA  (Sanger;  454)  

Components  of  the  HMP   ~30  Awards,  ~$150M  

Reference   Sequences  

15  Projects  

Disease  

Health  

DemonstraKon   Projects  

Center  Grants  

Metagenomic   Data  

ELSI  

U  and  R   series   grants  

R  &  D  

Repositories   BEI  

NCBI  

SRA   dbGaP  

Laboratory  

DACC  

ComputaKonal  

Healthy  Microbiome  CharacterizaKon   Center  Grants  

1  

3,000  Bacterial   Genomes   EukaryoKc   Genomes  

Genome   Centers   Baylor   Broad  Inst.   JCVI   Wash.  Univ.  

2   300  Subjects   18  Body  Sites   MulKple  visits  

Shotgun  

Transcriptome  

3  

Virome   Data  Analysis   and   CoordinaKon   Center  

InformaKon   Hub  

16S  

Data   Submission  

Reference  Strain  Sequencing  

Science  (2010)  328:994-­‐999  

Status

Number

Not started

439

Awaiting DNA

241

In Progress

425

Complete

398

TOTAL

DistribuKon  by  Body  Site  

1503

85%  High  Quality  Drah,  15%  Improved   From  Sarah  Highlander,  Ashlee  Earl,  BeHy  Lobos,  Heather  Huot  Creasy  

Body  sites  being  sampled   •  •  •  •  •  •  •  •  • 

•  Retroauricular  crease,   both  ears  (2)   •  Antecubital  fossa  (inner   elbow),  both  arms  (2)   •  Anterior  right  and  leh   nares  (pooled)   •  Stool   •  Posterior  fornix,  vagina   •  Midpoint,  vagina   •  Vaginal  introitus  

Saliva   Tongue  dorsum   Hard  palate   Buccal  mucosa   KeraKnized  (a4ached)   gingiva   PalaKne  tonsils     Throat     Supragingival  plaque     Subgingival  plaque   Oral  

Skin  

Nasal  

Gut  

Vaginal  

Clinical  Sampling  Summary   600  

525  

Screened  

500  

1st  Sampling  

May  1,  2010   •   Data  Freeze  on  16S  rRNA  sequencing   Third  Sampling   •   >5,000  specimens  sequenced   285  of  300   •   Submi4ed  to  NCBI   •   Processing,  analysis  in  progress   2nd  Sampling  

400  

300  

200  

166  of  300   100  

(28  of  100)  

From  Joe  Petrosino  

May-­‐10  

Apr-­‐10  

Mar-­‐10  

Feb-­‐10  

Jan-­‐10  

Dec-­‐09  

Nov-­‐09  

Oct-­‐09  

Sep-­‐09  

Aug-­‐09  

Jul-­‐09  

Jun-­‐09  

May-­‐09  

Apr-­‐09  

Mar-­‐09  

Feb-­‐09  

Jan-­‐09  

Dec-­‐08  

0  

From  Dirk  Gevers,  BI  

300

First visit

Number of Subjects per Body Site for First, Second, Third Samplings

Second visit Third visit

280 260 240

Subjects

220 200 180 160 140 120 100 80 60 40 20

Body  Site  

From  Owen  White,  Dirk  Gevers,  and  Ashlee  Earl  

pforn

mid_v

v_int

tonsils

tongue

throat

saliva

supra

subg

hpal

ging

bucc

a_nares

r_fossa

l_fossa

r_crease

l_crease

stool

0

16S rRNA sequencing on 454: Total Reads per Body Site

total_runs Second

4,000,000

Third

3,500,000

Reads

3,000,000 2,500,000 2,000,000 1,500,000 1,000,000 500,000

Body  Site  

From  Owen  White,  Dirk  Gevers,  and  Ashlee  Earl  

pforn

mid_v

v_int

tonsils

tongue

throat

saliva

supra

subg

hpal

ging

bucc

a_nares

r_fossa

l_fossa

r_crease

l_crease

stool

0

All

Average Number of Reads Per Patient per Body Site

12,000

V1_V3 V3_V5

10,000

Reads

8,000

6,000

4,000

2,000

Body  Site  

From  Owen  White,  Dirk  Gevers,  and  Ashlee  Earl  

pforn

mid_v

v_int

tonsils

tongue

throat

saliva

supra

subg

hpal

ging

bucc

a_nares

r_fossa

l_fossa

r_crease

l_crease

stool

0

Shotgun  Metagenomic  Sequencing   •  Mainly  Illumina,  paired  100  base  reads   –  Some  454  also  performed  

•  Focus  on  6  body  sites     –  Nasal,  vaginal,  gut,  oral  (3)   –  Skin  and  other  sites  if  enough  DNA

   

•  10  Gb  per  body  site   •  Remove  human  sequences  and  duplicate   microbial  sequences  =>  unique  microbial  seq.  

#  samples  sequenced  

Number  of  shotgun  samples  per  body  site  

gut  

nose  

747  total  samples  

oral  

vaginal  

skin  

Gb  of  shotgun  sequence  per  body  site  

Gb  Total  Sequence  

8049  Gb  Total   4649  Gb  Unique  Microbial  

from  Owen  White  

www.hmpdacc.org  

Elaborate,  Complex  Set  of  Data   •  See  DACC  web  site  for  details   •  16S  data:  Sanger,  454  data   –  Human  filtered  without  processing   –  Processed  files:  trimmed,  chimeras  removed,  etc.  

•  Shotgun  data:  Illumina,  454   –  Human  filtered  w/wo  processing  

•  dbGaP   –  Data  without  human  reads  removed   –  Clinical  metadata  

InformaKcs  and  Analysis  

HMP  Data  Analysis  Working  Group   •  80  members  of  the  DAWG  

–  Mainly  from  Genome  Centers   –  People  outside  of  the  HMP  are  welcome   –  Chaired  by  Jennifer  Wortman  (U  Md)  

•  Analysis  of  16S  data  

–  Co-­‐chairs  Erica  Sodergren  (Wash  U),  Dirk  Gevers  (Broad  Inst)  

•  Analysis  of  Shotgun  data  

–  Co-­‐chairs  Makedonka  Mitreva  (Wash  U),  Owen  White  (U  Md)  

•  Many  subgroups  focusing  on  specific  tasks  

–  Core  microbiome,  novel  organisms,  assembly  of  metagenomic   data,  pathway  analysis,  …  

The  InternaKonal  Human  Microbiome   ConsorKum  (IHMC)   The  IHMC  works  to:   •  Generate  a  shared  resource  of  human  microbiome  data   –  Rapid  data  release   –  Common  informed  consent  principles   –  Common  IP  guidelines   •  Coordinate  internaKonal  efforts  to  reduce  redundancy   •  Provide  a  venue  for    internaKonal  communicaKon  of  results  and  strategies  

•  Microbiome  MeeXng  in  Vancouver,  March  10-­‐12,  2011  

Acknowledgments   •  Baylor  College  of  Medicine  –  Human   Genome  Sequencing  Center   •  Broad  InsKtute   •  J.  Craig  Venter  InsKtute   •  Washington  Univ.  Genome  Center   •  Clinical  Sampling  Teams  at  Baylor  College   of  Med.  and  Washington  Univ.   •  Univ.  Maryland  School  of  Medicine  –  Data   Analysis  and  CoordinaKon  Center   •  15  DemonstraKon  Projects   •  Technology  Development  Projects   •  ELSI  Projects   •  …and  many  more  

•  •  •  •  •  •  •  •  •  •  •  •  •  •  •  •  •  • 

NCCAM   NCI   NHGRI   NHLBI   NIA   NIAAA   NIAID   NIAMS   NIBIB   NICHD   NIDA   NIDCR   NIDDK   NIEHS   NIGMS   NIMH   OD   ORWH