FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

The Forsyth Institute, Cambridge, MA, USA
June 28, 2022

Project ID: FOMCX010_Onieda.merged


I. Project Summary

Project FOMCX010_Onieda.merged 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

#SampleIDSamplesGroup
O16O16Cancer
O17O17Cancer
O18O18Cancer
O19O19Cancer
O20O20Cancer
O21O21Cancer
O22O22Cancer
O23O23Cancer
O24O24Cancer
O25O25Cancer
O1O1Control
O2O2Control
O3O3Control
O4O4Control
O5O5Control
O6O6Control
O7O7Control
O8O8Control
O9O9Control
O10O10Control
O11O11Control
O12O12Control
O13O13Control
O15O15Control
O27O27New-DNA
O29O29New-DNA
O31O31New-DNA
O33O33New-DNA
O35O35New-DNA
O26O26Old_DNA
O28O28Old_DNA
O30O30Old_DNA
O32O32Old_DNA
O34O34Old_DNA
 
 

ASV Read Counts by Samples

#Sample IDRead Count
O29344
O243,495
O173,904
O184,406
O274,475
O194,851
O164,888
O114,973
O205,466
O336,301
O286,320
O326,714
O26,904
O107,273
O47,329
O257,571
O37,572
O158,429
O18,852
O269,121
O69,328
O129,478
O99,488
O349,767
O139,921
O2310,118
O3010,630
O710,929
O2211,801
O3512,198
O812,465
O3112,502
O2113,445
O513,825
 
 
 

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%(>=26 reads)
ATotal reads275,083275,083
BTotal assigned reads262,759262,759
CAssigned reads in species with read count < MPC02,526
DAssigned reads in samples with read count < 500318317
ETotal samples3434
FSamples with reads >= 5003333
GSamples with reads < 50011
HTotal assigned reads used for analysis (B-C-D)262,441259,916
IReads assigned to single species249,241247,591
JReads assigned to multiple species11,36411,210
KReads assigned to novel species1,8361,115
LTotal number of species662253
MNumber of single species465233
NNumber of multi-species3010
ONumber of novel species16710
PTotal unassigned reads12,32412,324
QChimeric reads2929
RReads without BLASTN hits2828
SOthers: short, low quality, singletons, etc.12,26712,267
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.
SPIDTaxonomyO1O10O11O12O13O15O16O17O18O19O2O20O21O22O23O24O25O26O27O28O29O3O30O31O32O33O34O35O4O5O6O7O8O9
SP1Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;histicola5823180457094139053198011732385191100159606633945291481310020
SP10Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_3491302120200250000015143744600792793111970269191202
SP101Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;asaccharolyticum03100302021003400100200000005522002
SP102Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hongkongensis561130000054961300011001243079140014014161008
SP103Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-2];sp._oral_taxon_085028013012140003604102533200671056472000
SP104Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;granulosa204400204502300354065079005230011460157411601
SP106Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_33275000000000100000000000000000000100
SP107Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;salivae12021608830011513001761616122401530274810288222111605
SP108Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis2450006312500180033000000030000095010122
SP109Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;graevenitzii37750130342120531007427432566170261691786611212511717514023
SP110Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_285000003000000063500000000000000000000
SP111Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._vincentii61358555107652463240012680195222701126287511001983604245772016
SP113Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;haemolysans20184331701492755162512379302412161857895267152811610
SP114Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens416390421601012241101566277772873204233729225693133332241516
SP115Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp._oral_taxon_1103020000900000000260000000001378012200
SP116Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;forsythia60010215502000215000001827348600101000
SP117Bacteria;Actinobacteria;Actinobacteria;Bifidobacteriales;Bifidobacteriaceae;Scardovia;wiggsiae2013000050600013600000000515000003004
SP118Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-2];sp._oral_taxon_35000000000900000000000023000000002000
SP119Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._HOT_204150190260580010070091617009001091401713100
SP12Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;odontolyticus71212608292017131092001631421232930192148133715245917348108718
SP120Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_B668000000000210000010000000000638001000
SP121Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_313290003111000030020000000000100026900003
SP122Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oralis10210002110000168110032371839051001
SP123Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pleuritidis06260000045020000280000000424800005003900
SP125Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-2];TM7_[G-5];sp._oral_taxon_356001610004290000000260000400002152405200
SP126Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_2031000000000000000310020500004069500306
SP127Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sanguinis4120170031970314400000655151710140000079203816137105038
SP128Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;rimae1203890002226236000149450071212445717571329080013
SP129Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;profusa000000001010000260000000052600100000
SP13Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii38132600700912730039028780182512508166870049
SP130Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;timidum140351001522010000516114000191538001012001
SP131Bacteria;SR1;SR1_[C-1];SR1_[O-1];SR1_[F-1];SR1_[G-1];sp._oral_taxon_345002000004000070002100002100001564000700
SP133Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;denticola20510118702000130000101319210000005600
SP134Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;multisaccharivorax40000000000000013000000002073001600000
SP135Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;sp._oral_taxon_097121200974024000250351843222008213818172000
SP136Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris131283901610181414000124846211526041464161842074167822401025
SP137Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;diversum9249011191122760052013922133960061241478497201
SP138Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_066130240001104003800106012002200040018001504
SP14Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_18021050121212214100102047680131230238115147214504
SP140Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;sp._oral_taxon_780001000000000000000000110000001004012
SP141Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_34615526000021230000502415291013317132663244141909
SP143Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oulorum2291000120700005130100004110251331013
SP144Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_30900500000000000000200000000002270100
SP145Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp._oral_taxon_458861000090020000080000150000710100183700
SP146Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_17500400000533000000000224000001603206
SP147Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F-1];Clostridiales_[F-1][G-1];sp._oral_taxon_093000000001401000000000000000001002100
SP149Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;dentalis20300001220000050000000230000302800
SP15Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_064296291261614412812813442188542020927282031311133084364313864335622189221545691172252
SP150Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;veroralis001800000016200001001119131000020817716834310400
SP151Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;parvulum6910247911028142337137655243621138213815626380413040123718
SP152Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;sputorum040000000000000016000019000024260024600
SP153Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcus;stomatis14110010124241000127001610823280000213018224500
SP154Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_317433100300020007025000011860038181021508
SP156Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;haemolyticus107001450101000300311002400003034122420
SP159Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;trevisanii00200000003006007200000000010286000200
SP16Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;umeaense015106136020013033610060033711879100
SP161Bacteria;Fusobacteria;Fusobacteriia;Fusobacteria_[O];Fusobacteria_[F];Fusobacteria_[G-1];sp._Oral_Taxon_A71000000000000000000000000001000030200
SP164Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Slackia;exigua232110009300060120000131511003010001
SP166Bacteria;Actinobacteria;Actinobacteria;Corynebacteriales;Corynebacteriaceae;Corynebacterium;sp._Oral_Taxon_A1601200000002000000110000000030314000
SP167Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_257000000000000000000000110000000003100
SP168Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;orale1230150110166005806131019010027291518630102
SP17Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;goodfellowii040000020000000060000000002029000000
SP170Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sp._oral_taxon_0782122000000200031301000232602053000
SP171Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_47200000003081000002010127031000110002000
SP173Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parahaemolyticus1000030370010021000000000000000002200
SP175Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;morbillorum23610010060200600332001300008122411400
SP179Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2370061010060100000200009000011104600
SP18Bacteria;Synergistetes;Synergistia;Synergistales;Dethiosulfovibrionaceae;Pyramidobacter;piscolens0000010000000002092000003100071000
SP180Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;peroris010012600000205004300000023018002000603011
SP181Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_34700100000120240001805001091124500323109204
SP183Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];sp._oral_taxon_274791110004100000290179107293700151162000
SP184Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_3260070002110200000140000000001329000200
SP185Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei1281208411240000960971972612142151156202201
SP186Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;pneumosintes2021000000100410010200023800120001
SP188Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens121000004101001003400013010046024300
SP19Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus3215511700410504014978008771550235214388473145113416002765673283332491100
SP190Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;aurantiaca00000000000000003500001200002259000000
SP191Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;sp._oral_taxon_0440000010028000014400200002000016500200
SP192Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;elongata0127000040040000011960020000102802819300
SP194Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_17220056011152206610010093479600009242142804
SP195Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hofstadii34106000010014000170114240019242400661343431100
SP199Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-5];[Eubacterium]_saphenum3034000091600000000000050000000001200
SP2Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis205195020279193939931442797162185822043114735937619256014668742825190968696729615579088498325822152253814185037
SP200Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;rava5010010030100030051004330000362600
SP201Bacteria;SR1;SR1_[C-1];SR1_[O-1];SR1_[F-1];SR1_[G-1];sp._oral_taxon_874120000100000007700935008000011441161100
SP202Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Kingella;oralis131600051400000103000042200041103702
SP203Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-6];[Eubacterium]_nodatum00400001200000191000051251700431300
SP204Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;amylovorum00400000180000000000000000013100000
SP206Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._str._C150000014000000130000000000000000000040
SP209Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;fastidiosum23010900018101000002100000120022230030718012
SP21Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;atypica17325266701024507363521493612153127117327448644519103112913416
SP210Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae00100007000000000000013000020000300
SP211Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-9];[Eubacterium]_brachy304950002140100005700003001173490011401
SP213Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Propionibacterium;acidifaciens300000002111000020100000004000020010
SP214Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Bulleidia;extructa009000001307000260000000191900100400
SP215Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-2];sp._oral_taxon_09600000100003002300010001000033122100
SP216Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._nucleatum002003000000000010000300000011002700
SP217Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sputigena100010130201001381200002472112374103
SP218Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Propionibacterium;propionicum2100000102200000062310770000324055200
SP219Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Shuttleworthia;satelles4120000001130000121100101127131620000
SP22Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis285110010430100150011220015000015301782400
SP220Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;lingnae_[NVP]1858069583362302023410172103914103518122110
SP225Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_22530000000001001400200005200002410161300
SP226Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp._oral_taxon_513200100000000000000000010000000000000
SP227Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;maculosa2201000100000041112000372004020000
SP229Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;invisus2001000013200003610101111653420000
SP23Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;leadbetteri1553140051800120060960324145009736002510701451142601
SP230Bacteria;Actinobacteria;Actinobacteria;Corynebacteriales;Corynebacteriaceae;Corynebacterium;durum3820000202190000016200300001452425304
SP232Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_4731264001603704001000120000800002140300500
SP233Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;lecithinolyticum0021000050000012000000016150000000200
SP234Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;socranskii40200002111000931100056114561011400
SP235Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_212116300000000000001313001400001830030000
SP237Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;sp._oral_taxon_19910070000020000000014000000000060000
SP238Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;bacilliformis2503000000010000000000151000000000003
SP239Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flava050000012004001900000000000000001000
SP24Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Burkholderia;cepacia0102120512004424310001204704015020111
SP241Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;sp._oral_taxon_91700002000000290000000000000000000000
SP242Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_22100002000300600140000100000000000718494
SP243Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva7300000005300200380080500002663009500
SP245Plantae;Angiosperms;Magnoliids;Laurales;Calycanthaceae;Calycanthus;floridus_Oral_Taxon_D0701019000000000000001000000000000302
SP246Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp._oral_taxon_5120000000208000800000701000000300000
SP247Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Filifactor;alocis001200211332000000010000320000001124000
SP25Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus561442201151223014500036204375521271204407542027326577369221430302
SP258Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_91404000000000000001800001500002713220000
SP26Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus89100812718422001214281741358139361591443351654231
SP260Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Propionibacterium;acnes000003000010092020000001000310000300
SP262Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;uli504000001010000120270010002001042000
SP263Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;elegans000002000040017001000000000000011112
SP266Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_322712100029011200280114109013000012335551711
SP267Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;sicca2300000000020000003160000000001394400
SP27Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_16983360002575127000880165218103110175002238282295038
SP270Bacteria;Actinobacteria;Actinobacteria;Bifidobacteriales;Bifidobacteriaceae;Alloscardovia;omnicolens660000000020400100000808250000000002
SP271Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_22302000007000000000490000000000192200
SP272Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_21800000000000007600000000000000000000
SP275Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Cryptobacterium;curtum20106010508000090001000041811400000
SP276Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3054100203000500001000000002300500001
SP277Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Propionibacterium;sp._oral_taxon_91500000000000000000000028000000000000
SP28Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;intermedius0102001000000010110010010001121010000
SP280Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;crispatus00036000020000000000000000000000010
SP281Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_231201000000000006011200114210011030000
SP283Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;shahii000000000018006600000000000000000100
SP287Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;sp._oral_taxon_8076071000000400020100000220003001205
SP289Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_352120010000100025009000000800313100000
SP29Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis2025371040213361519324771900151009282349877314310000145813841252781177803
SP296Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-1];[Eubacterium]_sulci01000100000006000120010000012550100
SP297Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;sp._oral_taxon_80980000000000000000000000000003200000
SP298Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-3];sp._oral_taxon_3511000011000000402100002010238100100
SP299Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;pharyngis014000000000000000100011000000000000
SP3Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;vestibularis3153547897459952804321420195791312856352046008609627533412411513430117164
SP30Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Megasphaera;micronuciformis1040402001200030020000541300300001
SP301Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_35900800007800000400000002100000100703
SP31Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae163301680213010413603711002520089588580132000010187186111612903
SP315Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_27800000000000000000630060000007332000
SP323Bacteria;Firmicutes;Mollicutes;Mycoplasmatales;Mycoplasmataceae;Mycoplasma;faucium003000001201000000000000000000013000
SP324Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_286320011010000013003000012000009031000
SP33Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum8822500341501451500106012853342594155001028631473532301
SP333Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-1];[Eubacterium]_infirmum2010000004200000320200003631521000
SP337Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;paraphrohaemolyticus00000350000000000100000000010000000
SP34Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_II58523351711203412177264263151781822448053223402423102777735742615501398247275881133
SP342Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;segnis00100000062001600300400000031011800
SP35Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_39230000012000002500813900186000014270263500
SP352Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];sp._oral_taxon_08100000000000000900000031280000000000
SP36Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;melaninogenica43101860651352835960472009593682011201024560654741298269110444710776074
SP368Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_91300000000300001802000000006400000000
SP37Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_215562314021563103949004300112118538482900001738905917600
SP372Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0560080000310400000700008000058000500
SP378Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_9522010000100000000200001000017004900
SP38Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0701122500070521937000200004521010100020920388
SP39Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_I190214307328800313224316301820010010139002100207
SP391Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;gasseri0008000010001011000000149500000000
SP4Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;salivarius27591496569625324020095553228293517690100540521337971842827141923981237
SP40Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_4235369432212476917014501034600521751264070497521816714731541411829661
SP41Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_93101000240000010100000001000001100100
SP42Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;buccae4000000000000021020100025800940000
SP43Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group159779361006866586570101013142104103974698595531742991871059019016010840109175
SP44Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._animalis45172189003218863900109392336011351474111537415272120131205
SP45Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0581213510011273300140051610842300117827230011213510046701
SP46Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;wadei79252003021004100042032236005253200352601718081
SP47Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Pseudoramibacter;alactolyticus35121002110300001801100000523000243001
SP48Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;sanguinis1034601051241103076905702132702001167825851832300
SP49Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani2716341901413100685239006704583663004821487000779420134747117315043208
SP5Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;mucilaginosa1473648414421802785167413523291889309911951462353951443829935393100291376317911423584547327328300431418472235192
SP50Bacteria;SR1;SR1_[C-1];SR1_[O-1];SR1_[F-1];SR1_[G-1];sp._oral_taxon_875020000230000000507001403300120000126381051200
SP51Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;sp._oral_taxon_0361010000000200800012005500000055340019
SP52Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;mucosa600000000019000000530000000003181753000
SP53Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mutans50140011013001600038591010001926612237010063013
SP54Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;saburreum104002020110010000300030010001114403
SP55Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_86418000000000000000134003000039081000
SP56Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_52660310110100000510000000112617001001800
SP57Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;scopos000000000000040005534000000000011017100
SP58Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;intermedia00411401005401000001320000143000016428320005500
SP59Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;buccalis4020010120050000045200088000033688101100
SP6Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi4510110238142001273017001301857001140611301
SP60Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_308936010100195006900950380200131774963600
SP62Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_431114181204051143125151919202842381491448325033111514102322035020777121710
SP63Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;shahii0000000000000100160000000001416000000
SP64Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;nanceiensis2426002404060001470015354060000254061182100
SP65Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra66672191006975140002688548063414183353423239108107393103
SP66Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_275130000001000000001200000000056000000
SP67Bacteria;Actinobacteria;Actinobacteria;Corynebacteriales;Corynebacteriaceae;Corynebacterium;matruchotii222500101102130002032070513001051341010
SP68Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;longum4012027032110110041114041000254228011660552
SP7Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_2795416117031150310011002490033816010800390000402225534251163002
SP70Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sinus183250201061312008624023411543151686119176222101
SP71Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_061310001100010480050006370700000033334700
SP72Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pallens5671504000184600440072420123328000044385410301
SP73Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus2110221001282825000011911184102954724011180190
SP74Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae354002161010032001272000640000144122312200
SP75Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;constellatus25018000273000112490101025131718200003106
SP76Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-3];sp._oral_taxon_10010300401001001000103000500001010020300
SP77Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_4176304801504102300229011579002600003510391421103511
SP78Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;dentocariosa32618418006642151742000177229105689002601053414208211114132035
SP79Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;gracilis524700082341000031861343710195101532256608
SP8Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;australis85291540012496610172001660047153121917088000060610411170026114100
SP80Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;tannerae7212027119019410370004724720000286784906411165514113013
SP81Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;aeria15830000016002700000196240011000018637831260836700
SP82Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_30622014029002004200300000000000000112011101
SP83Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;sp._Oral_Taxon_G430000000000300043000000059690000100000
SP84Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis0000032214713213000001804520023300321600111316600
SP85Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;multiformis00270000042000000034109100000001166261600
SP86Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flavescens|subflava292100021340293032626007320010913025453219700002071743819611511100
SP87Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_07429927006930010000433535100001095831453221191
SP88Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_30090620000300000122311000853426030002
SP89Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sputigena045000050030020029109001100003210921833300
SP9Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-1];sp._oral_taxon_07512167006030020036100275120048000017883931900
SP90Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_30400080001000000000000000000000009200
SP91Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0571021903233000200000055000201001171221420
SP93Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Lautropia;mirabilis6400000100110000027010040200001736138010600
SP94Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_314001014000451640000028501055128035618330800
SP95Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;endodontalis0011230015601317000410597524043481230034158617344700
SP96Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_9002110000000000010000003040004011901
SP97Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;denticola13579670005224640000000008920000000222151500
SP98Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_36012087010172000007400000327141115000041000
SP99Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;periodonticum114107330139951440014001480024788560025100002563206313452701
SPN146Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp._oral_taxon_393_nov_97.077%040008000000043004333002000049520201000
SPN158Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis_nov_96.242%000000000000000030000820000210000000
SPN18Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_215_nov_97.634%00000000000000000040080000000143000
SPN30Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;veroralis_nov_97.972%0000000000230000013000000000124000400
SPN41Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_215_nov_96.989%000000000000040060000200001319000000
SPN53Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_511_nov_96.694%000000000000001700000001880000000000
SPN65Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_306_nov_97.566%01300008700000000000000000101200003
SPN8Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];[Eubacterium]_yurii_subsp._yurii_&_margaretiae_nov_90.496%00000000000006400000000000004000000
SPN88Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_305_nov_94.106%0000020000000500131000000013580000
SPP1Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;multispecies_spp1_20320100008000900002210000001311100
SPP10Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;multispecies_spp10_2150130270470284000101005100223000134010010
SPP13Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp13_2020000000000026300000000200000000000
SPP20Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp20_2873007300820057005515883302300008575325374923
SPP22Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp22_200003000000000000000044000000000000
SPP25Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp25_235521756993821067812011403106040512882941452334413579894764529911601549751711235
SPP29Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;multispecies_spp29_21150001000100011060000002000061100
SPP4Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;multispecies_spp4_20020100000100000022018000020631000
SPP5Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp5_20000065030012000000000022000000001000
SPP6Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp6_201200020000001700430000000095010000
SPPN2Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_sppn2_2_nov_97.791%600030002414000013380010163204580000621045
 
 
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 1Cancer vs ControlPDFSVGPDFSVGPDFSVG
Comparison 2New-DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 3Old_DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 4New-DNA vs Old_DNAPDFSVGPDFSVGPDFSVG
 
 

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 1Cancer vs ControlView in PDFView in SVG
Comparison 2New-DNA vs ControlView in PDFView in SVG
Comparison 3Old_DNA vs ControlView in PDFView in SVG
Comparison 4New-DNA vs Old_DNAView 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.Cancer vs ControlObserved FeaturesShannon IndexSimpson Index
Comparison 2.New-DNA vs ControlObserved FeaturesShannon IndexSimpson Index
Comparison 3.Old_DNA vs ControlObserved FeaturesShannon IndexSimpson Index
Comparison 4.New-DNA vs Old_DNAObserved 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 1Cancer vs ControlPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 2New-DNA vs ControlPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 3Old_DNA vs ControlPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 4New-DNA vs Old_DNAPDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

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.Cancer vs ControlBray–CurtisCorrelationAitchison
Comparison 2.New-DNA vs ControlBray–CurtisCorrelationAitchison
Comparison 3.Old_DNA vs ControlBray–CurtisCorrelationAitchison
Comparison 4.New-DNA vs Old_DNABray–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.Cancer vs Control
Comparison 2.New-DNA vs Control
Comparison 3.Old_DNA vs Control
Comparison 4.New-DNA vs Old_DNA
 
 

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.Cancer vs Control
Comparison 2.New-DNA vs Control
Comparison 3.Old_DNA vs Control
Comparison 4.New-DNA vs Old_DNA
 
 
 

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.

 
Cancer vs Control
 
 
 
 
 
 
 
LEfSe Results for All Comparisons
 
Comparison No.Comparison Name
Comparison 1.Cancer vs Control
Comparison 2.New-DNA vs Control
Comparison 3.Old_DNA vs Control
Comparison 4.New-DNA vs Old_DNA
 
 

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 1Cancer vs ControlPDFSVGPDFSVGPDFSVG
Comparison 2New-DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 3Old_DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 4New-DNA vs Old_DNAPDFSVGPDFSVGPDFSVG
 
 
B) One-way clustering - clustered on rows (organism) only
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Cancer vs ControlPDFSVGPDFSVGPDFSVG
Comparison 2New-DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 3Old_DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 4New-DNA vs Old_DNAPDFSVGPDFSVGPDFSVG
 
 
C) No clustering
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Cancer vs ControlPDFSVGPDFSVGPDFSVG
Comparison 2New-DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 3Old_DNA vs ControlPDFSVGPDFSVGPDFSVG
Comparison 4New-DNA vs Old_DNAPDFSVGPDFSVGPDFSVG
 
 

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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