FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

The Forsyth Institute, Cambridge, MA, USA
October 11, 2024

Project ID: caries


I. Project Summary

Project caries services do not include NGS sequencing of the V1V3 region of the 16S rRNA gene amplicons from the samples. First and foremost, please download this report. These links will expire after 60 days. We cannot guarantee the availability of your data after 60 days.

Full Bioinformatics analysis service was requested.

We provide many downstream analyses such as taxonomy assignment, alpha and beta diversity analyses, and differential abundance analysis.

For taxonomy assignment, most informative would be the taxonomy barplots. We provide an interactive barplots to show the relative abundance of microbes at different taxonomy levels (from Phylum to species) that you can choose.

If you specify which groups of samples you want to compare for differential abundance, we provide both ANCOM and LEfSe differential abundance analysis.

 

II. Workflow Checklist

1.Sample Received
2.Sample Quality Evaluated
3.Sample Prepared for Sequencing
4.Next-Gen Sequencing
5.Sequence Quality Check
6.Absolute Abundance
7.Report and Raw Sequence Data Available for Download
8.Bioinformatics Analysis - Reads Processing (DADA2 Quality Trimming, Denoising, Paired Reads Merging)
9.Bioinformatics Analysis - Reads Taxonomy Assignment
10.Bioinformatics Analysis - Alpha Diversity Analysis
11.Bioinformatics Analysis - Beta Diversity Analysis
12.Bioinformatics Analysis - Differential Abundance Analysis
13.Bioinformatics Analysis - Heatmap Profile
14.Bioinformatics Analysis - Network Association
 

III. NGS Sequencing

Not available
 

IV. Complete Report Download

The complete report of your project, including all links in this report, can be downloaded by clicking the link provided below. The downloaded file is a compressed ZIP file and once unzipped, open the file “REPORT.html” (may only shown as "REPORT" in your computer) by double clicking it. Your default web browser will open it and you will see the exact content of this report.

Please download and save the file to your computer storage device. The download link will expire after 60 days upon your receiving of this report.

Complete report download link:

To view the report, please follow the following steps:
1.Download the .zip file from the report link above.
2.Extract all the contents of the downloaded .zip file to your desktop.
3.Open the extracted folder and find the "REPORT.html" (may shown as only "REPORT").
4.Open (double-clicking) the REPORT.html file. Your default browser will open the top age of the complete report. Within the report, there are links to view all the analyses performed for the project.

 

V. Raw Sequence Data Download

Not available
 

VI. Analysis - DADA2 Read Processing

Not available
 

Sample Meta Information

#SampleIDSampleNameMediumInoculumTimeGroup
CM1CM1SalivaHealthy_saliva24hHealthy_saliva
CM2CM2SalivaHealthy_saliva24hHealthy_saliva
CM3CM3SalivaHealthy_saliva24hHealthy_saliva
CM4CM4SalivaCaries_saliva24hCaries_saliva
CM5CM5SalivaCaries_saliva24hCaries_saliva
CM6CM6SalivaCaries_saliva24hCaries_saliva
CM7CM7SalivaHealthy_saliva_plus_S_mutans24hHealthy_saliva_plus_S_mutans
CM8CM8SalivaHealthy_saliva_plus_S_mutans24hHealthy_saliva_plus_S_mutans
CM9CM9SalivaHealthy_saliva_plus_S_mutans24hHealthy_saliva_plus_S_mutans
CM10CM10SalivaNegative_control24hNegative_control
CM11CM11SHIHealthy_saliva24hHealthy_saliva
CM12CM12SHIHealthy_saliva24hHealthy_saliva
CM13CM13SHIHealthy_saliva24hHealthy_saliva
CM14CM14SHICaries_saliva24hCaries_saliva
CM15CM15SHICaries_saliva24hCaries_saliva
CM16CM16SHICaries_saliva24hCaries_saliva
CM17CM17SHIHealthy_saliva_plus_S_mutans24hHealthy_saliva_plus_S_mutans
CM18CM18SHIHealthy_saliva_plus_S_mutans24hHealthy_saliva_plus_S_mutans
CM19CM19SHIHealthy_saliva_plus_S_mutans24hHealthy_saliva_plus_S_mutans
CM20CM20SHINegative_control24hNegative_control
CM21CM21SalivaHealthy_saliva48h_no_medium_changeHealthy_saliva
CM22CM22SalivaHealthy_saliva48h_no_medium_changeHealthy_saliva
CM23CM23SalivaHealthy_saliva48h_no_medium_changeHealthy_saliva
CM24CM24SalivaCaries_saliva48h_no_medium_changeCaries_saliva
CM25CM25SalivaCaries_saliva48h_no_medium_changeCaries_saliva
CM26CM26SalivaCaries_saliva48h_no_medium_changeCaries_saliva
CM27CM27SalivaHealthy_saliva_plus_S_mutans48h_no_medium_changeHealthy_saliva_plus_S_mutans
CM28CM28SalivaHealthy_saliva_plus_S_mutans48h_no_medium_changeHealthy_saliva_plus_S_mutans
CM29CM29SalivaHealthy_saliva_plus_S_mutans48h_no_medium_changeHealthy_saliva_plus_S_mutans
CM30CM30SalivaNegative_control48h_no_medium_changeNegative_control
CM31CM31SHIHealthy_saliva48h_no_medium_changeHealthy_saliva
CM32CM32SHIHealthy_saliva48h_no_medium_changeHealthy_saliva
CM33CM33SHIHealthy_saliva48h_no_medium_changeHealthy_saliva
CM34CM34SHICaries_saliva48h_no_medium_changeCaries_saliva
CM35CM35SHICaries_saliva48h_no_medium_changeCaries_saliva
CM36CM36SHICaries_saliva48h_no_medium_changeCaries_saliva
CM37CM37SHIHealthy_saliva_plus_S_mutans48h_no_medium_changeHealthy_saliva_plus_S_mutans
CM38CM38SHIHealthy_saliva_plus_S_mutans48h_no_medium_changeHealthy_saliva_plus_S_mutans
CM39CM39SHIHealthy_saliva_plus_S_mutans48h_no_medium_changeHealthy_saliva_plus_S_mutans
CM40CM40SHINegative_control48h_no_medium_changeNegative_control
CM41CM41SalivaHealthy_saliva48h_medium_changeHealthy_saliva
CM42CM42SalivaHealthy_saliva48h_medium_changeHealthy_saliva
CM43CM43SalivaHealthy_saliva48h_medium_changeHealthy_saliva
CM44CM44SalivaCaries_saliva48h_medium_changeCaries_saliva
CM45CM45SalivaCaries_saliva48h_medium_changeCaries_saliva
CM46CM46SalivaCaries_saliva48h_medium_changeCaries_saliva
CM47CM47SalivaHealthy_saliva_plus_S_mutans48h_medium_changeHealthy_saliva_plus_S_mutans
CM48CM48SalivaHealthy_saliva_plus_S_mutans48h_medium_changeHealthy_saliva_plus_S_mutans
CM49CM49SalivaHealthy_saliva_plus_S_mutans48h_medium_changeHealthy_saliva_plus_S_mutans
CM50CM50SalivaNegative_control48h_medium_changeNegative_control
CM51CM51SHIHealthy_saliva48h_medium_changeHealthy_saliva
CM52CM52SHIHealthy_saliva48h_medium_changeHealthy_saliva
CM53CM53SHIHealthy_saliva48h_medium_changeHealthy_saliva
CM54CM54SHICaries_saliva48h_medium_changeCaries_saliva
CM55CM55SHICaries_saliva48h_medium_changeCaries_saliva
CM56CM56SHICaries_saliva48h_medium_changeCaries_saliva
CM57CM57SHIHealthy_saliva_plus_S_mutans48h_medium_changeHealthy_saliva_plus_S_mutans
CM58CM58SHIHealthy_saliva_plus_S_mutans48h_medium_changeHealthy_saliva_plus_S_mutans
CM59CM59SHIHealthy_saliva_plus_S_mutans48h_medium_changeHealthy_saliva_plus_S_mutans
CM60CM60SHINegative_control48h_medium_changeNegative_control
CM61CM61Mock_communityMock_communityMock_communityMock_community
CM62CM62Mock_communityMock_communityMock_communityMock_community
CM63CM63Healthy_inoculumHealthy_inoculumHealthy_inoculumHealthy_inoculum
CM64CM64Healthy_inoculumHealthy_inoculumHealthy_inoculumHealthy_inoculum
CM65CM65Caries_inoculumCaries_inoculumCaries_inoculumCaries_inoculum
CM66CM66Caries_inoculumCaries_inoculumCaries_inoculumCaries_inoculum
 
 

ASV Read Counts by Samples

#Sample IDRead Count
CM2125,696
CM3932,104
CM3241,929
CM148,509
CM5167,463
CM6668,760
CM5673,547
CM5575,489
CM1678,388
CM5279,208
CM6579,592
CM5481,008
CM3681,408
CM3181,491
CM2585,361
CM1587,503
CM1189,872
CM5789,968
CM2790,194
CM3890,980
CM6091,610
CM2894,376
CM6395,012
CM5996,404
CM5896,910
CM3798,636
CM4198,924
CM33101,062
CM14101,124
CM64101,184
CM35102,821
CM30103,716
CM12105,870
CM13107,660
CM34113,883
CM26118,102
CM17119,621
CM40120,168
CM23120,706
CM29120,938
CM50123,183
CM46126,117
CM62128,921
CM5128,928
CM22129,474
CM8130,052
CM10135,400
CM9139,397
CM4139,495
CM6140,012
CM53140,307
CM24140,688
CM7145,165
CM20145,453
CM48146,746
CM3147,571
CM47151,819
CM61152,333
CM45155,826
CM2157,066
CM44157,077
CM19157,557
CM43158,232
CM42169,723
CM18169,817
CM49173,857
 
 
 

VII. Analysis - Read Taxonomy Assignment

Read Taxonomy Assignment - Methods

 

The species-level, open-reference 16S rRNA NGS reads taxonomy assignment pipeline

Version 20210310
 

1. Raw sequences reads in FASTA format were BLASTN-searched against a combined set of 16S rRNA reference sequences. It consists of MOMD (version 0.1), the HOMD (version 15.2 http://www.homd.org/index.php?name=seqDownload&file&type=R ), HOMD 16S rRNA RefSeq Extended Version 1.1 (EXT), GreenGene Gold (GG) (http://greengenes.lbl.gov/Download/Sequence_Data/Fasta_data_files/gold_strains_gg16S_aligned.fasta.gz) , and the NCBI 16S rRNA reference sequence set (https://ftp.ncbi.nlm.nih.gov/blast/db/16S_ribosomal_RNA.tar.gz). These sequences were screened and combined to remove short sequences (<1000nt), chimera, duplicated and sub-sequences, as well as sequences with poor taxonomy annotation (e.g., without species information). This process resulted in 1,015 from HOMD V15.22, 495 from EXT, 3,940 from GG and 18,044 from NCBI, a total of 25,120 sequences. Altogether these sequence represent a total of 15,601 oral and non-oral microbial species.

The NCBI BLASTN version 2.7.1+ (Zhang et al, 2000) was used with the default parameters. Reads with ≥ 98% sequence identity to the matched reference and ≥ 90% alignment length (i.e., ≥ 90% of the read length that was aligned to the reference and was used to calculate the sequence percent identity) were classified based on the taxonomy of the reference sequence with highest sequence identity. If a read matched with reference sequences representing more than one species with equal percent identity and alignment length, it was subject to chimera checking with USEARCH program version v8.1.1861 (Edgar 2010). Non-chimeric reads with multi-species best hits were considered valid and were assigned with a unique species notation (e.g., spp) denoting unresolvable multiple species.

2. Unassigned reads (i.e., reads with < 98% identity or < 90% alignment length) were pooled together and reads < 200 bases were removed. The remaining reads were subject to the de novo operational taxonomy unit (OTU) calling and chimera checking using the USEARCH program version v8.1.1861 (Edgar 2010). The de novo OTU calling and chimera checking was done using 98% as the sequence identity cutoff, i.e., the species-level OTU. The output of this step produced species-level de novo clustered OTUs with 98% identity. Representative reads from each of the OTUs/species were then BLASTN-searched against the same reference sequence set again to determine the closest species for these potential novel species. These potential novel species were pooled together with the reads that were signed to specie-level in the previous step, for down-stream analyses.

Reference:
Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bioinformatics. 2010 Oct 1;26(19):2460-1. doi: 10.1093/bioinformatics/btq461. Epub 2010 Aug 12. PubMed PMID: 20709691.

3. Designations used in the taxonomy:

	1) Taxonomy levels are indicated by these prefixes:
	
	   k__: domain/kingdom
	   p__: phylum
	   c__: class
	   o__: order
	   f__: family
	   g__: genus  
	   s__: species
	
	   Example: 
	
	   k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Blautia;s__faecis
		
	2) Unique level identified – known species:
	   
	   k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Roseburia;s__hominis
	
	   The above example shows some reads match to a single species (all levels are unique)
	
	3) Non-unique level identified – known species:

	   k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Roseburia;s__multispecies_spp123_3
	   
	   The above example “s__multispecies_spp123_3” indicates certain reads equally match to 3 species of the 
	   genus Roseburia; the “spp123” is a temporally assigned species ID.
	
	   k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__multigenus;s__multispecies_spp234_5
	   
	   The above example indicates certain reads match equally to 5 different species, which belong to multiple genera.; 
	   the “spp234” is a temporally assigned species ID.
	
	4) Unique level identified – unknown species, potential novel species:
	   
	   k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Roseburia;s__ hominis_nov_97%
	   
	   The above example indicates that some reads have no match to any of the reference sequences with 
	   sequence identity ≥ 98% and percent coverage (alignment length)  ≥ 98% as well. However this groups 
	   of reads (actually the representative read from a de novo  OTU) has 96% percent identity to 
	   Roseburia hominis, thus this is a potential novel species, closest to Roseburia hominis. 
	   (But they are not the same species).
	
	5) Multiple level identified – unknown species, potential novel species:
	   k__Bacteria;p__Firmicutes;c__Clostridia;o__Clostridiales;f__Lachnospiraceae;g__Roseburia;s__ multispecies_sppn123_3_nov_96%
	
	   The above example indicates that some reads have no match to any of the reference sequences 
	   with sequence identity ≥ 98% and percent coverage (alignment length)  ≥ 98% as well. 
	   However this groups of reads (actually the representative read from a de novo  OTU) 
	   has 96% percent identity equally to 3 species in Roseburia. Thus this is no single 
	   closest species, instead this group of reads match equally to multiple species at 96%. 
	   Since they have passed chimera check so they represent a novel species. “sppn123” is a 
	   temporary ID for this potential novel species. 

 
4. The taxonomy assignment algorithm is illustrated in this flow char below:
 
 
 
 

Read Taxonomy Assignment - Result Summary *

CodeCategoryMPC=0% (>=1 read)MPC=0.01%(>=637 reads)
ATotal reads7,347,4137,347,413
BTotal assigned reads6,378,7456,378,745
CAssigned reads in species with read count < MPC054,202
DAssigned reads in samples with read count < 50000
ETotal samples6666
FSamples with reads >= 5006666
GSamples with reads < 50000
HTotal assigned reads used for analysis (B-C-D)6,378,7456,324,543
IReads assigned to single species5,628,8115,608,127
JReads assigned to multiple species445,435441,329
KReads assigned to novel species304,499275,087
LTotal number of species1,805158
MNumber of single species571119
NNumber of multi-species598
ONumber of novel species1,17531
PTotal unassigned reads968,668968,668
QChimeric reads26,66726,667
RReads without BLASTN hits336336
SOthers: short, low quality, singletons, etc.941,665941,665
A=B+P=C+D+H+Q+R+S
E=F+G
B=C+D+H
H=I+J+K
L=M+N+O
P=Q+R+S
* MPC = Minimal percent (of all assigned reads) read count per species, species with read count < MPC were removed.
* Samples with reads < 500 were removed from downstream analyses.
* The assignment result from MPC=0.1% was used in the downstream analyses.
 
 
 

Read Taxonomy Assignment - ASV Species-Level Read Counts Table

This table shows the read counts for each sample (columns) and each species identified based on the ASV sequences. The downstream analyses were based on this table.
SPIDTaxonomyCM1CM10CM11CM12CM13CM14CM15CM16CM17CM18CM19CM2CM20CM21CM22CM23CM24CM25CM26CM27CM28CM29CM3CM30CM31CM32CM33CM34CM35CM36CM37CM38CM39CM4CM40CM41CM42CM43CM44CM45CM46CM47CM48CM49CM5CM50CM51CM52CM53CM54CM55CM56CM57CM58CM59CM6CM60CM61CM62CM63CM64CM65CM66CM7CM8CM9
SP1Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_064335128193281409813387146549008249802309717681197001833621612340973712510727942802111751155317643915286400476749099870758903848988122561784611072444196562691282383654486514876215512833867034336074910161034348628361094220524212085229223485004319931047516161
SP10Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis259908116952904955435566761975098489011107437905247521546216468500815540492161638179662249202329393807842452923348740843580729769633507381393760276741071281395334391082228653121295466638992328205511421217280982480412201260487367122474128598
SP101Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-3];sp._oral_taxon_351040571957623971414141501427922371224015173124420130324011001000441142244225721546159341195147873
SP102Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Megasphaera;micronuciformis07018281425125048621350016016020725167178410510902924160104506839173619101217183003112503110151224182316201291017165243151310
SP103Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;scopos1305512391117021467151842567273124544411520354216171141496244414462501861121361031071621472625604842082332262112
SP108Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_930041951722411483611805211680001630680094260002600390121000111101003000321102111712110
SP11Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group600280223248117101437246182314902656178201916029653137452612039817675225911308278310971373718067220881650014260791353814480231814311585114341582725611868307325383288133344339420333128278223142021518906269647588465472162510861738823471312751411292399462432643161379118329612825026542
SP111Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;dianae19002485122251331572105511450412051051622854211403431034444110104583301165921981048000002248210
SP112Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;murinus24705188786263313434299128332022327106636844702432411241531564322594321826292318162024198318162820162412674329
SP113Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum1032111261381516501504281415301554270173528616112421212133102220104033157872611869915811216911012
SP116Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;infelix250010675811923711751265182701156801132078021010611010263045613020033446621471101021281010
SP12Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;melaninogenica9724231478514969377435992631263411111683443285128551216279681367494904321038242795437537713500111791820475633828406028873385125393832151895613469940126280574865101643222837512062153489454676410967478401242111715101393379103081251324480423125771974414740864798
SP122Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;haemolysans061131011261439738343214212250474122630541230616610621230120202341310203142104250153114448583226615
SP123Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_47931200026234120201000742038300000000657071001010426910142491040132129103611001003133
SP125Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._str._ACS21140312018312181634110116112007118734012304347221418162821121504252261321585127252278121
SP126Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;buccae010000341640302113125915195100123260542851801209410000011083227323173313890211101012000
SP128Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Propionibacteriaceae;Propionibacterium;granulosum02000010200000040103500111280001000500104000600004691105100100002021211
SP129Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;aeria833615212158120391000010002150000010000131798050616748546110241711913169610512341013445938211786
SP13Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi1294168279110109212732928394492135396702434185623597276141919488245821392413084378099941294921510983105281059501082960736888718333563268255252715191071326249631274476333242307307563242742015291149203
SP132Bacteria;Actinobacteria;Actinobacteria;Micrococcales;Micrococcaceae;Arthrobacter;russicus000000006000055010000000010510010259001166112233280100002070020002000000
SP135Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pallens428038317202974290032172163284254091284553337152462104012103134149102001009013290001221026865422663946
SP136Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Geobacillus;sp._str._WCH702014000000000016000000100090000000000150000000000500000000009000000011111
SP137Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-2];sp._oral_taxon_085040101310034294373128173242650813240632020942615309007100172090134105148015318106014615104710
SP14Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis50112527713116496995455811821548205717751200271000112394266913808001076160293910813032687859212656171343113337112414944645069553717441467212978615721015467211674121251171252132392421471181252118591879262323637845741214
SP141Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;parvulum120413613711147351041431691122911451211973084206555137614476104384739413829071931151759202171725481596149169159161151221520616413726616
SP142Plantae;Pinophyta;Pinopsida;Pinales;Pinaceae;Pinus;thunbergii_Oral_Taxon_D30000000000000000100444130218161000000100000000060000000070000000011000000
SP144Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Bosea;vestrisii0917821162811000000020010129060110000001000000002000000000000000006002006
SP147Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;saburreum021027636275250202113114030000130247233800022000000112023104573461391510212019102
SP149Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei01707710310811911024514120542015475462343902575516617232143192201146244961627044911345641381014175449288797226727974275615515412876261524
SP15Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;vestibularis34206720400285257323423129210361759510115764397902556263834531014534617133142222413224771662681232181196314136852441628265551125917196597258112134304411472871318555564966320991248
SP153Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;dentocariosa00100100011002119110100190100000001919000102013170300100171000512100637653151125133237000
SP155Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp._oral_taxon_1100000020270240901947635438541933903752943521152521840216020101321010218230206500311101000
SP157Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;pneumosintes0001010643217601050374830801014002674325290006600000100100003216042212100010120100
SP16Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcus;stomatis39263301819562782288316791578155414431111786132193212217647411355291469216110202334176123582361112440912401296371212082984305339373622532584815136566417348628593255353749173815593594516675574222371682
SP164Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_21512012202720231291526161586711231633111123403532049013590311021212403250237044266238131681644525150
SP165Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;shahii012153621392265413633104160399241015120470930282121244022320200511071160176436586011343390812033292823300
SP168Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens00132393510110184215318453351326112231541311911321521057020120010120094812324259660431319511110
SP17Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;nigrescens201000605101010370000101088051001104102830120200936200031009227005154521047287241859938461813720
SP173Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Lautropia;mirabilis79823212111118171770140617132318211811129134191620751115073551743382430131833303010339775815125113816353146354580111
SP176Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_1710000101001000020211110000760010000004000000110001000020100110142476000
SP178Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;rava030700967418326021009679448610311281814293021210105331328500011309514210203202142313811
SP18Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_058152411256541461947439797740586813742011288523638263538534495260232235101043604604492247001915307362197598443892784671311082306351011796363107591069139958107160164443362248150322
SP19Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Propionibacteriaceae;Propionibacterium;acnes3702023340316716024418715211316176139562925785854615913537466587441011251118114626782061656136533527236102542305811157243516913724149238414102925450
SP190Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-1];[Eubacterium]_sulci002510228212627329100590130418805332645688821733451542411113510526301333110123025261111745711594201482716332191275561303
SP196Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-2];sp._oral_taxon_091000000412110000006721230120101232124610101000011000000010008392111100000000
SP2Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;salivarius517104921381335147214467000571713356355230789035280224428973082441211561128261343117823346976726562008472208262813027989212442185723095022830284689669355985286742285732483899687972108447081540118467496430172446458943612792161811401668153054575710733463693385490855681
SP20Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_31412213796817581036342395249265047571272328295402756312519110819236312968517231122171281893470258783455511268706032170613461112155113958411543118913265572612601264183546943
SP21Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;graevenitzii0601640431418228014771513475209011411450000100164210030313480402156165146144324
SP22Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;australis1555114437398456168107156661513985529841741249910530218139237297333818156329392151139192294117466058700618148023714922975095617630557914952821041081034418789121413381384879741146673790
SP223Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Rhizobiaceae;Rhizobium;skierniewicense3046000000000014000000000015000000000017000000000023000000000018000000024115
SP23Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_14911518731508767288837106582144144215974424932823631727855386236027020239926881771176373334860781102712629854228294237620942473669128285108961754866391871111140018369197874991541317779437513237205
SP236Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Rhizobiaceae;Rhizobium;loti9490000000000100000000000600000000008000000000030000000000600000001170
SP24Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;denticariosi162119171852443398426165484747129436532012483144120079161103108114145990996401101029221011060029184579146
SP243Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Rhizobiaceae;Agrobacterium;tumefaciens749000000000017000000000013000000000090000000000100000000000120000000440
SP245Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Phyllobacteriaceae;Defluvibacter;sp._Oral_Taxon_B905641100011000003070000000050100000000820360001000000200000000050000000634
SP25Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;umeaense0241038667453558288811138212274657176352380302432737319261260092300121010241315953724322728351324125163017200
SP26Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis8432279543763878455326822746868785485527656676838583170406222041324236333682482829601513232076290244128147324753830204879131456693812323791111082772135222312162631731085722719914432111852106371346805318326094622
SP27Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii4719936018491836193617019424532553996145323443331592554287812528114718141693241226021811491360165827513317785723974217929127812071284650553557162633294121072321132234876216720652104612306045632229148167221131314381827
SP29Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;periodonticum1221998352912807342915794954727528218489691129103413303851193206530143713586109213481504485921235619711251530191672415203482801221341592787149414631219681158813545194146846234422913827
SP3Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus80966551314101111612868208240792817278821691827721380168623851478422728652235169615632873474791211156126722012433811135289135673449592111395685409364031227159917294624125260520735569454025146029182074832465492445371231413431643
SP30Bacteria;Firmicutes;Bacilli;Bacillales;Staphylococcaceae;Staphylococcus;caprae05000000500000000300000000200000000749100001200000000020000000010001
SP31Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;histicola80212732953964109968955867511851817215314875317971416184311828171134825188439368723933212081678820791757137553234153564732656991800488277203823926892652195018639485938186675303115208817932965828315244845313301213314318601714
SP32Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_I7133556428873058292623401500283954284267223245241145705573668811811484018523831522130963202662345478154383615216533203854802360355395478447423626173415921751399149397242774104371096034439201818222379459148751020540987062638438857859776231143304
SP33Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_4236730486833092843317955746686939773824451631653818081758214734898932219442339332512423929816332025726443630193115712833366138224297411413192443331312189225654335628117862689812151149545384545320232837838414912240724073400
SP34Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;salivae81486170176241772593141620718099273145925033876277405591835708835451252882017765936503621115924117112221472902013595411266329051292511856515657906571801020437814584535330582512392
SP35Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus5512277436503985266817851712219582148916102366272633562338552061346233516872563360425243456721146248434672139141525442512902440591664172320583263307317673869488952257491757271111983480513381600865289131128621743610581569231717718622725213784315833854
SP36Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;intermedius1721301291752407861577256314871801324054107821234166210211619215473223914169421821365491921037568014120511876213105142468267
SP37Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sanguinis225462230454349371870711961362104660510291349867669739865136648857244933623172443394603337595333124676051241872779890812457451312815118573936717269406139345592699268225771972021228193201219505581830
SP38Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;mucilaginosa1512049423212013001301700330000010312112383133110010120111046550125792084630
SP39Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_17201804245261282119414014114393117107121452747941214044391086241110980747751722215100109273872018111451178921372514334244940032112
SP4Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0571836621522491901547112328623043942762623587011782382062223995242143263315021981811633033885307119209181489170168226621680921992586577123651716748805230302282326772134327362
SP40Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_27906711796817828245158437133118173414411315791504754832898510091075831326142689624222241301566612245965816212618222728314122293092381411299011927337455235112421112169687585423536
SP41Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus1882633112205821482262509233136196303132663049329341157320482393262951092242235324941102038003162518342136354426103888245335613423804524527831612597206118212165964939816110370816241461160986470058951313363359608160394044955552
SP42Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_308143561041006451140176374525511071807643882423260971236541742836201166607001771304881263351062246548154368946301091016845487978
SP43Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;sanguinis2421729894482983370519593123263272270060151431363516909662702317174523568112039668391873421053923616515626482220523012094145443
SP44Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_II7826893975710268181294118319922197163325032127244203227643150192239161993150923592540139011381219862067225223782333166211918621193221163151773114365127701000615036119521905722087526155808120075424511563201010611025232685822256197891850186933943224180016222375
SP45Bacteria;[Thermi];Deinococci;Thermales;Thermaceae;Thermus;thermophilus50191612610161150012300040018102056200192011186206816234841233116322112004100003000526
SP46Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani45149543147020181931718697109233893511104528474210611051122039593748216442196974177820345762794745457669165627741283925394619390415325403624131444752022392565273137127119345301593303293210561075626529348642942
SP47Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;odontolyticus0344711524357601672883472127910631225120831134311402311720410791286564521321121517144391269256171653356609849318876791281811882215519756156421971233614611258261723
SP48Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_417010000040313306930801430811401221620000100520268002000100010006369445354180
SP49Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_06118141101662492691412082383202064564521126325040513825620917924223019628016331223814629923577583101039219616617622725051028332522277062658863100452540130527248290565487161365604
SP5Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;atypica1194680115517441585396426235585913804794256322732410978546187790418414292150046347144513262465625814442490132542077250741727768334769107519948836544193911142040661559841069653811036605792336642533052555541085025132530367212053148513331175171141214054
SP50Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens1232124677757686520370118426553081172153815110010651157137607818978571881083124684674154842062313571511878513107639491477894283832491517240811815470179174200123124618806763101484263256276
SP51Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;peroris1281121118181118101845211235715111867231002322181715180711305329312325302235121614431055841410088817052162940
SP52Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_066371702341046836931931061321598152218401439201363135814048115010091599020811080244739468941441301417463513581146182770139913593321731562240140724052117148443419263650267264248123138298268876528413111862
SP53Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;lingnae_[NVP]04081154114020131340164936114018313131101910106513207014900434510011333697811103610132142159150210
SP55Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae2132238240503444179281916272131874425751505190121441901360101217716047412115141110710929140285346881778683539171914
SP56Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flavescens|subflava136094539615112815161952424141924562218389612519142932311191720181642314512332410720241830143532216720275477677824832078225439
SP57Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_30620153418421294751243028158165254720131111663312374152540341078690903109343791362816974546717012375135600116272722109110801178779138391094358309
SP58Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0700563351237166773939975144383635742882904701374158235242651491111971748546499982302756515729866818352815124628717710114873331128113845642127116253115897214105619469495543092825436223430520226
SP59Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris11002413101012363415046120273246817171972120236041391332317111182120200147372105014221265932131172301661411313
SP6Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;longum09823732435794601231320519446874293248287691353611518619284274205169106984514633150241201712183316212107521902600114344737038119881902129749182224262291529
SP60Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;constellatus1208164189145841447124221056142120306818124117123315037150300219175312003941967531110121101540
SP62Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sputigena53108624233103221159913636498032366243760593161110299771881212612085956274501347514002417142607378020101012433853
SP63Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._str._C300164808344319358231226349261615295413011619312201114816141455121217222151132115551313383423925322222224121314814987773272723957924561910133136151514429441
SP64Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Phyllobacteriaceae;Phyllobacterium;myrsinacearum2811723645139232232547237239350252942251916919252171938125267261042882617304213783930319143301516718437712294747073645063455063793481778354306471365622639314023062119411493187105209193292
SP65Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_47300537322934975751894077651151844984554802571152222561036611082472115140551711131862628607010158457102491071154531945449299726331218
SP67Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;nanceiensis172138121149111928641499126311814585126210876327810297354343229380374303021241815112223328301415371715290232311818172820
SP69Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_71040495934546264013211932119642525022162817423921075969222023441318234075465218581774672832622702871551951132422071231335266114833261
SP7Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_43139751195896396111010872134512738581371981358345237044488517126327091122102718299441541907438103244922542157824480349404684470597542836532252102245341062654093902149670173139149900901285623155931007925
SP72Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_07431512246373143142958192232331095023383455341184031171385439632334940415240501511451832214051636111520260850011829867056716311452
SP73Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_18004051358437443581721924179317132432937861516691115031011230500715510812960320271365643538521
SP75Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;diversum6341468983862151541794866259321915301379187016285431545541576998913181566911179771225538111957313151203184816111425221433487351309221877627107192514231212834766312327476615713577922
SP8Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_313197117243825034014861353544519573265146363028343719693709553162153614515461677262417963944275546232476505114151049811289287127159933206141342658948341256456240198915654773043106376561121159440512
SP80Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus03221371307524499210233461663599021322167316941113307270264623459004142366201454021131563644
SP81Bacteria;Firmicutes;Bacilli;Lactobacillales;Enterococcaceae;Tetragenococcus;halophilus0000000011000000001200000000110000000025725522212120000000090000000000000
SP82Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva58565338375140868715251811325226196910363864659111519353343291650302910322542792682356286156611375101058252241345338979678
SP83Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_05601001115919481822191601012111456341740316172110136014141251612473239245412110385140321810234128791614
SP84Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mutans42383144135184095472323523371012211021413322741729589117018145751432013297522034136522615844145652304640438227501397239
SP85Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_478421249057701220320126183305366553042294311151269497611265614293022121012316653775227454188341737152121102462425
SP86Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;asaccharolyticum492278337296972759011101457118541110216430347627268509491286102141973110595610584651912101922252417144195
SP87Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sinus222981218910022424918936623512928330222912383751602931432191899025092732192451502361802286248141412231774198613516851971561661503361682141732982253259485132215650901
SP89Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_13810001051341500203214123120442040113521222120330002317700129011226608004501000001911
SP9Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_136181199365897774127483787921321662961281022933782983636898542513223513064914510820615775194106678712468203285961481852231238981527448123252188239743923939812881616232492901665482582737191018013702323214
SP90Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;elegans0015178480013603550206276289000397001220471034000350279001001000000437400081201302327155002
SP91Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;sp._oral_taxon_09716267438651461021157007008856115214654527175732747482637823146185711412413114965106158202113142180635004293216112155
SP94Bacteria;Proteobacteria;Gammaproteobacteria;Xanthomonadales;Xanthomonadaceae;Stenotrophomonas;maltophilia0000000000001281017025725033647400001023000000101500000010120000002017000000
SP95Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;orale031858073665913221682214111064713923491924220781441467591753131107011030102428421182756558652418326418112713201
SP97Bacteria;Actinobacteria;Actinobacteria;Corynebacteriales;Corynebacteriaceae;Corynebacterium;accolens00000000000000050011000088700000004000000004000000004000000007000300
SPN1025Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis_nov_97.590%022061093036451211212331511133246309202351018837244325471112653431871691013171992194451021083934307221255747716713914513931
SPN123Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-2];sp._oral_taxon_091_nov_97.101%0001101183057032595177684211315250011023211331761533631310480020100220140016668791376401111100100
SPN266Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;danieliae_nov_98.943%469640473390340834373891390132602313285024665243229223962502186621382173276323142114226442962188180120293051370732023150311633283048420929611305158814191296129914081056122114624445189914861332151813741237131319792394201247452001196120311517187413341022476140643813
SPN275Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis_nov_97.390%1751910636102217861170457572350220237442113282743130701306463269289131766810522032255441563131742518881702718
SPN286Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis_nov_97.992%0132411116526341832341101515103040541220244015926345513115223519823434733733196180342108953833107992522838520
SPN299Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group_nov_97.852%182140242323453481043114547595174152754054273210343995009713715966412898022227272224227203183619131203211099
SPN311Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus_nov_97.845%1361464465268129853110007461756246959284115220437188138004582131222215545020252121319712240020001011196
SPN323Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus_nov_97.992%04815962551718169899657014241591891228425324014235911132415058161626715111552421017034131017152511211171013216237770
SPN334Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;histicola_nov_97.769%047010716154033810922172110110010915583623430156672031541511134534431812113660254212123103367221
SPN345Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;salivae_nov_96.538%002792159026000200000000100201689840120000215613171300002801125005339144031805383200000
SPN368Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;histicola_nov_97.769%292698707696152171656465177942341327648541250292007609151328106312841820171372176142911769641813151267204643495613872013269627751384513026224418343634613
SPN369Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_149_nov_97.642%560002576310555135095731117501175280254976090300810108443330017100014419153822148301404213180
SPN373Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group_nov_94.129%0158035241114346098101232840174400020111600252011036532010222156110124112168201191340620005206269171
SPN382Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;shahii_nov_87.903%676466488387704630174100101215131813901514912333017519642422391001112613126847492334452721816641
SPN394Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus_nov_99.070%0001814305631501511110001100012013160010100000010001302261733362831482190159000000000
SPN407Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus_nov_97.791%053036623212195533648030223322137347150020516121902259036452912112458525809286101121531910413152852
SPN415Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_136_nov_97.642%2000005265551030124224524720251001405255112000611077368301721000216261711124110002111123
SPN425Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra_nov_97.077%0008211373464600411389544012051187075173324104451163115300010120100252028242201237017151317712
SPN445Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;danieliae_nov_96.829%58141612455135633434018353338233857571218531411171113121161814161011171211698312101150331411958991670620165944
SPN465Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;NA;Tepidimonas;taiwanensis_nov_100.000%00000000000000020000101077610000005000000002000000013000000004001101
SPN476Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_064_nov_97.992%1070072392922074235512982896692039149159205704576110151487741141911624775461171739329411224263961681802094243269213854543423441494560874492578539038711694101593408
SPN477Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;sanguinis_nov_94.632%10453585700000284000090000002036000020300001020331201090616941104006314500104000800
SPN487Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;salivarius_nov_95.984%01504103137136221801210120098210010902070100727241210600012042213110121922060061
SPN587Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae_nov_96.774%362143604334891157558714456133516619732110569061711210653214432544790541663591153829163525412522011413214111502242650000184132
SPN694Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_057_nov_97.984%227559411094866010120312728010011641852476511011611615627132210171196150951311604275112681970564669792506573095980042714754656159307544191057106352976327194
SPN72Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Anoxybacillus;flavithermus_nov_97.800%000000001300000000160000000090000000031455311212160000000060000000000000
SPN914Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_II_nov_97.992%3141489627352417912248213414118716981396681287905097881703014176226815728810391702384108274257452281201131228126314254141
SPP11Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;multispecies_spp11_2197061222926520275531147569021052593129669458165018337654813111982911340585462111695634411131236913998110310101657420287915911057727672371104527512321961241181188857968672127666474
SPP14Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp14_2259010621143532624281101410432529262601116825322380229016149085226626482624823087254341999109816501911141012604923
SPP22Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp22_2115115281510362833421609817351125326220218515624115300410214131513326806901113382001421763438
SPP24Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp24_251302837157876814314818411173392100100398682731048668240575855411156817284562435310973994688551611228101619191386411031191351251404911392
SPP28Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp28_2276918011811921877132030502312672667375555925257452056173607061613342665330913158347872704026176213238713334471841243581176218411562309125718378198601084246774171684615769266345627975718316393635135919621400350021831924532217481512014507196962036337113192628886595735
SPP33Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp33_223012527141037512313402621119173148941473412161403119875214919063323691431251581919738236172421251271001053939972131
SPP38Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;multispecies_spp38_2196867818362343469004660732350470402111060756736131332108506182813627991201721884503614416724922779702309274104144755597245417145
SPP45Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp45_20206212017351021024129382711200012122423354155012816530705439929312250535382033416132323315211143
SPPN25Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_sppn25_2_nov_97.992%2110108142011150000125463200031000322915110509001106195035310000442001050124243135510363
SPPN33Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_sppn33_3_nov_97.395%0320172217191830232222341104123210138182510347161361302129241351527433637363581841473691700072802818312623
SPPN38Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;multispecies_sppn38_3_nov_97.972%000232019918823250312140111110000932273701001410251961432940242501231729273532193441001915474730510
SPPN82Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_sppn82_2_nov_97.189%41850574729221519724024050138425320122534361671105625316171629120758033820718448424435110956361876655127381145408437845346201161
 
 
Download OTU Tables at Different Taxonomy Levels
PhylumCount*: Relative**: CLR***:
ClassCount*: Relative**: CLR***:
OrderCount*: Relative**: CLR***:
FamilyCount*: Relative**: CLR***:
GenusCount*: Relative**: CLR***:
SpeciesCount*: Relative**: CLR***:
* Read count
** Relative abundance (count/total sample count)
*** Centered log ratio transformed abundance
;
 
The species listed in the table has full taxonomy and a dynamically assigned species ID specific to this report. When some reads match with the reference sequences of more than one species equally (i.e., same percent identiy and alignmnet coverage), they can't be assigned to a particular species. Instead, they are assigned to multiple species with the species notaton "s__multispecies_spp2_2". In this notation, spp2 is the dynamic ID assigned to these reads that hit multiple sequences and the "_2" at the end of the notation means there are two species in the spp2.

You can look up which species are included in the multi-species assignment, in this table below:
 
 
 
 
Another type of notation is "s__multispecies_sppn2_2", in which the "n" in the sppn2 means it's a potential novel species because all the reads in this species have < 98% idenity to any of the reference sequences. They were grouped together based on de novo OTU clustering at 98% identity cutoff. And then a representative sequence was chosed to BLASTN search against the reference database to find the closest match (but will still be < 98%). This representative sequence also matched equally to more than one species, hence the "spp" was given in the label.
 
 

Taxonomy Bar Plots for All Samples

 
 

Taxonomy Bar Plots for Individual Comparison Groups

 
 
Comparison No.Comparison NameFamiliesGeneraSpecies
Comparison 1Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 2Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 324h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
 
 

VIII. Analysis - Alpha Diversity

 

In ecology, alpha diversity (α-diversity) is the mean species diversity in sites or habitats at a local scale. The term was introduced by R. H. Whittaker[1][2] together with the terms beta diversity (β-diversity) and gamma diversity (γ-diversity). Whittaker's idea was that the total species diversity in a landscape (gamma diversity) is determined by two different things, the mean species diversity in sites or habitats at a more local scale (alpha diversity) and the differentiation among those habitats (beta diversity).


References:
Whittaker, R. H. (1960) Vegetation of the Siskiyou Mountains, Oregon and California. Ecological Monographs, 30, 279–338. doi:10.2307/1943563
Whittaker, R. H. (1972). Evolution and Measurement of Species Diversity. Taxon, 21, 213-251. doi:10.2307/1218190

 

Alpha Diversity Analysis by Rarefaction

Diversity measures are affected by the sampling depth. Rarefaction is a technique to assess species richness from the results of sampling. Rarefaction allows the calculation of species richness for a given number of individual samples, based on the construction of so-called rarefaction curves. This curve is a plot of the number of species as a function of the number of samples. Rarefaction curves generally grow rapidly at first, as the most common species are found, but the curves plateau as only the rarest species remain to be sampled.


References:
Willis AD. Rarefaction, Alpha Diversity, and Statistics. Front Microbiol. 2019 Oct 23;10:2407. doi: 10.3389/fmicb.2019.02407. PMID: 31708888; PMCID: PMC6819366.

 
 
 

Boxplot of Alpha-diversity Indices

The two main factors taken into account when measuring diversity are richness and evenness. Richness is a measure of the number of different kinds of organisms present in a particular area. Evenness compares the similarity of the population size of each of the species present. There are many different ways to measure the richness and evenness. These measurements are called "estimators" or "indices". Below is a diversity of 3 commonly used indices showing the values for all the samples (dots) and in groups (boxes).

 
Alpha Diversity Box Plots for All Groups
 
 
 
 
 
 
 
Alpha Diversity Box Plots for Individual Comparisons
 
Comparison 1Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumView in PDFView in SVG
Comparison 2Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumView in PDFView in SVG
Comparison 324h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumView in PDFView in SVG
 
 
 

Group Significance of Alpha-diversity Indices

To test whether the alpha diversity among different comparison groups are different statisticall, we use the Kruskal Wallis H test provided the "alpha-group-significance" fucntion in the QIIME 2 diversity package. Kruskal Wallis H test is the non parametric alternative to the One Way ANOVA. Non parametric means that the test doesn’t assume your data comes from a particular distribution. The H test is used when the assumptions for ANOVA aren’t met (like the assumption of normality). It is sometimes called the one-way ANOVA on ranks, as the ranks of the data values are used in the test rather than the actual data points. The test determines whether the medians of two or more groups are different.

Below are the Kruskal Wallis H test results for each comparison based on three different alpha diversity measures: 1) Observed species (features), 2) Shannon index, and 3) Simpson index.

 
 
Comparison 1.Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumObserved FeaturesShannon IndexSimpson Index
Comparison 2.Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumObserved FeaturesShannon IndexSimpson Index
Comparison 3.24h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumObserved FeaturesShannon IndexSimpson Index
 
 

IX. Analysis - Beta Diversity

 

NMDS and PCoA Plots

Beta diversity compares the similarity (or dissimilarity) of microbial profiles between different groups of samples. There are many different similarity/dissimilarity metrics. In general, they can be quantitative (using sequence abundance, e.g., Bray-Curtis or weighted UniFrac) or binary (considering only presence-absence of sequences, e.g., binary Jaccard or unweighted UniFrac). They can be even based on phylogeny (e.g., UniFrac metrics) or not (non-UniFrac metrics, such as Bray-Curtis, etc.).

For microbiome studies, species profiles of samples can be compared with the Bray-Curtis dissimilarity, which is based on the count data type. The pair-wise Bray-Curtis dissimilarity matrix of all samples can then be subject to either multi-dimensional scaling (MDS, also known as PCoA) or non-metric MDS (NMDS).

MDS/PCoA is a scaling or ordination method that starts with a matrix of similarities or dissimilarities between a set of samples and aims to produce a low-dimensional graphical plot of the data in such a way that distances between points in the plot are close to original dissimilarities.

NMDS is similar to MDS, however it does not use the dissimilarities data, instead it converts them into the ranks and use these ranks in the calculation.

In our beta diversity analysis, Bray-Curtis dissimilarity matrix was first calculated and then plotted by the PCoA and NMDS separately. Below are beta diveristy results for all groups together:

 
 
NMDS and PCoA Plots for All Groups
 
 
 
 
 

The above PCoA and NMDS plots are based on count data. The count data can also be transformed into centered log ratio (CLR) for each species. The CLR data is no longer count data and cannot be used in Bray-Curtis dissimilarity calculation. Instead CLR can be compared with Euclidean distances. When CLR data are compared by Euclidean distance, the distance is also called Aitchison distance.

Below are the NMDS and PCoA plots of the Aitchison distances of the samples:

 
 
 
 
 
 
 
NMDS and PCoA Plots for Individual Comparisons
 
 
Comparison No.Comparison NameNMDAPCoA
Bray-CurtisCLR EuclideanBray-CurtisCLR Euclidean
Comparison 1Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 2Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 324h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

Interactive 3D PCoA Plots - Bray-Curtis Dissimilarity

 
 
 

Interactive 3D PCoA Plots - Euclidean Distance

 
 
 

Interactive 3D PCoA Plots - Correlation Coefficients

 
 
 

Group Significance of Beta-diversity Indices

To test whether the between-group dissimilarities are significantly greater than the within-group dissimilarities, the "beta-group-significance" function provided in the QIIME 2 "diversity" package was used with PERMANOVA (permutational multivariate analysis of variance) chosen s the group significan testing method.

Three beta diversity matrics were used: 1) Bray–Curtis dissimilarity 2) Correlation coefficient matrix , and 3) Aitchison distance (Euclidean distance between clr-transformed compositions).

 
 
Comparison 1.Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumBray–CurtisCorrelationAitchison
Comparison 2.Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumBray–CurtisCorrelationAitchison
Comparison 3.24h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumBray–CurtisCorrelationAitchison
 
 
 

X. Analysis - Differential Abundance

16S rRNA next generation sequencing (NGS) generates a fixed number of reads that reflect the proportion of different species in a sample, i.e., the relative abundance of species, instead of the absolute abundance. In Mathematics, measurements involving probabilities, proportions, percentages, and ppm can all be thought of as compositional data. This makes the microbiome read count data “compositional” (Gloor et al, 2017). In general, compositional data represent parts of a whole which only carry relative information (http://www.compositionaldata.com/).

The problem of microbiome data being compositional arises when comparing two groups of samples for identifying “differentially abundant” species. A species with the same absolute abundance between two conditions, its relative abundances in the two conditions (e.g., percent abundance) can become different if the relative abundance of other species change greatly. This problem can lead to incorrect conclusion in terms of differential abundance for microbial species in the samples.

When studying differential abundance (DA), the current better approach is to transform the read count data into log ratio data. The ratios are calculated between read counts of all species in a sample to a “reference” count (e.g., mean read count of the sample). The log ratio data allow the detection of DA species without being affected by percentage bias mentioned above

In this report, a compositional DA analysis tool “ANCOM” (analysis of composition of microbiomes) was used. ANCOM transforms the count data into log-ratios and thus is more suitable for comparing the composition of microbiomes in two or more populations. "ANCOM" generates a table of features with W-statistics and whether the null hypothesis is rejected. The “W” is the W-statistic, or number of features that a single feature is tested to be significantly different against. Hence the higher the "W" the more statistical sifgnificane that a feature/species is differentially abundant.


References:

Gloor GB, Macklaim JM, Pawlowsky-Glahn V, Egozcue JJ. Microbiome Datasets Are Compositional: And This Is Not Optional. Front Microbiol. 2017 Nov 15;8:2224. doi: 10.3389/fmicb.2017.02224. PMID: 29187837; PMCID: PMC5695134.

Mandal S, Van Treuren W, White RA, Eggesbø M, Knight R, Peddada SD. Analysis of composition of microbiomes: a novel method for studying microbial composition. Microb Ecol Health Dis. 2015 May 29;26:27663. doi: 10.3402/mehd.v26.27663. PMID: 26028277; PMCID: PMC4450248.

Lin H, Peddada SD. Analysis of compositions of microbiomes with bias correction. Nat Commun. 2020 Jul 14;11(1):3514. doi: 10.1038/s41467-020-17041-7. PMID: 32665548; PMCID: PMC7360769.

 
 

ANCOM Differential Abundance Analysis

 
ANCOM Results for Individual Comparisons
Comparison No.Comparison Name
Comparison 1.Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculum
Comparison 2.Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculum
Comparison 3.24h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculum
 
 

ANCOM-BC Differential Abundance Analysis

 

Starting with version V1.2, we also include the results of ANCOM-BC (Analysis of Compositions of Microbiomes with Bias Correction) (Lin and Peddada 2020). ANCOM-BC is an updated version of "ANCOM" that: (a) provides statistically valid test with appropriate p-values, (b) provides confidence intervals for differential abundance of each taxon, (c) controls the False Discovery Rate (FDR), (d) maintains adequate power, and (e) is computationally simple to implement. The bias correction (BC) addresses a challenging problem of the bias introduced by differences in the sampling fractions across samples. This bias has been a major hurdle in performing DA analysis of microbiome data. ANCOM-BC estimates the unknown sampling fractions and corrects the bias induced by their differences among samples. The absolute abundance data are modeled using a linear regression framework.

References:

Lin H, Peddada SD. Analysis of compositions of microbiomes with bias correction. Nat Commun. 2020 Jul 14;11(1):3514. doi: 10.1038/s41467-020-17041-7. PMID: 32665548; PMCID: PMC7360769.

 
 
ANCOM-BC Results for Individual Comparisons
 
Comparison No.Comparison Name
Comparison 1.Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculum
Comparison 2.Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculum
Comparison 3.24h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculum
 
 
 

LEfSe - Linear Discriminant Analysis Effect Size

LEfSe (Linear Discriminant Analysis Effect Size) is an alternative method to find "organisms, genes, or pathways that consistently explain the differences between two or more microbial communities" (Segata et al., 2011). Specifically, LEfSe uses rank-based Kruskal-Wallis (KW) sum-rank test to detect features with significant differential (relative) abundance with respect to the class of interest. Since it is rank-based, instead of proportional based, the differential species identified among the comparison groups is less biased (than percent abundance based).

Reference:

Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C. Metagenomic biomarker discovery and explanation. Genome Biol. 2011 Jun 24;12(6):R60. doi: 10.1186/gb-2011-12-6-r60. PMID: 21702898; PMCID: PMC3218848.

 
Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculum
 
 
 
 
 
 
 
LEfSe Results for All Comparisons
 
Comparison No.Comparison Name
Comparison 1.Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculum
Comparison 2.Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculum
Comparison 3.24h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculum
 
 

XI. Analysis - Heatmap Profile

 

Species vs Sample Abundance Heatmap for All Samples

 
 
 

Heatmaps for Individual Comparisons

 
A) Two-way clustering - clustered on both columns (Samples) and rows (organism)
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 2Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 324h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
 
 
B) One-way clustering - clustered on rows (organism) only
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 2Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 324h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
 
 
C) No clustering
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Saliva vs SHI vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 2Healthy_saliva vs Caries_saliva vs Healthy_saliva_plus_S_mutans vs Negative_control vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
Comparison 324h vs 48h_no_medium_change vs 48h_medium_change vs Mock_community vs Healthy_inoculum vs Caries_inoculumPDFSVGPDFSVGPDFSVG
 
 

XII. Analysis - Network Association

To analyze the co-occurrence or co-exclusion between microbial species among different samples, network correlation analysis tools are usually used for this purpose. However, microbiome count data are compositional. If count data are normalized to the total number of counts in the sample, the data become not independent and traditional statistical metrics (e.g., correlation) for the detection of specie-species relationships can lead to spurious results. In addition, sequencing-based studies typically measure hundreds of OTUs (species) on few samples; thus, inference of OTU-OTU association networks is severely under-powered. Here we use SPIEC-EASI (SParse InversE Covariance Estimation for Ecological Association Inference), a statistical method for the inference of microbial ecological networks from amplicon sequencing datasets that addresses both of these issues (Kurtz et al., 2015). SPIEC-EASI combines data transformations developed for compositional data analysis with a graphical model inference framework that assumes the underlying ecological association network is sparse. SPIEC-EASI provides two algorithms for network inferencing – 1) Meinshausen-Bühlmann's neighborhood selection (MB method) and inverse covariance selection (GLASSO method, i.e., graphical least absolute shrinkage and selection operator). This is fundamentally distinct from SparCC, which essentially estimate pairwise correlations. In addition to these two methods, we provide the results of a third method - SparCC (Sparse Correlations for Compositional Data)(Friedman & Alm 2012), which is also a method for inferring correlations from compositional data. SparCC estimates the linear Pearson correlations between the log-transformed components.


References:

Kurtz ZD, Müller CL, Miraldi ER, Littman DR, Blaser MJ, Bonneau RA. Sparse and compositionally robust inference of microbial ecological networks. PLoS Comput Biol. 2015 May 7;11(5):e1004226. doi: 10.1371/journal.pcbi.1004226. PMID: 25950956; PMCID: PMC4423992.

Friedman J, Alm EJ. Inferring correlation networks from genomic survey data. PLoS Comput Biol. 2012;8(9):e1002687. doi: 10.1371/journal.pcbi.1002687. Epub 2012 Sep 20. PMID: 23028285; PMCID: PMC3447976.

 

SPIEC-EASI Network Inference by Neighborhood Selection (MB Method)

 

 

 

Association Network Inference by SparCC

 

 

 
 

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