FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

The Forsyth Institute, Cambridge, MA, USA
March 27, 2023

Project ID: FOMC0000_BTO_PD


I. Project Summary

Project FOMC0000_BTO_PD 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

#SampleIDRunTypeLoadingGroup
71Run1CommercialNo_loadingRun1 Commercial No_loading
72Run1CommercialNo_loadingRun1 Commercial No_loading
73Run1CommercialNo_loadingRun1 Commercial No_loading
74Run2CommercialNo_loadingRun2 Commercial No_loading
75Run2CommercialNo_loadingRun2 Commercial No_loading
76Run2CommercialNo_loadingRun2 Commercial No_loading
77Run1BTONo_loadingRun1 BTO No_loading
78Run1BTONo_loadingRun1 BTO No_loading
79Run1BTONo_loadingRun1 BTO No_loading
80Run2BTONo_loadingRun2 BTO No_loading
81Run2BTONo_loadingRun2 BTO No_loading
82Run2BTONo_loadingRun2 BTO No_loading
83Run1HANo_loadingRun1 HA No_loading
84Run1HANo_loadingRun1 HA No_loading
85Run1HANo_loadingRun1 HA No_loading
86Run2HANo_loadingRun2 HA No_loading
87Run2HANo_loadingRun2 HA No_loading
88Run2HANo_loadingRun2 HA No_loading
89Run1plaque_inoculumplaque_inoculumRun1 plaque_inoculum plaque_inoculum
90Run1plaque_inoculumplaque_inoculumRun1 plaque_inoculum plaque_inoculum
91Run2plaque_inoculumplaque_inoculumRun2 plaque_inoculum plaque_inoculum
92Run2plaque_inoculumplaque_inoculumRun2 plaque_inoculum plaque_inoculum
93Run1CommercialLoadingRun1 Commercial Loading
94Run1CommercialLoadingRun1 Commercial Loading
95Run1CommercialLoadingRun1 Commercial Loading
96Run2CommercialLoadingRun2 Commercial Loading
97Run2CommercialLoadingRun2 Commercial Loading
98Run2CommercialLoadingRun2 Commercial Loading
99Run1BTOLoadingRun1 BTO Loading
100Run1BTOLoadingRun1 BTO Loading
101Run1BTOLoadingRun1 BTO Loading
102Run2BTOLoadingRun2 BTO Loading
103Run2BTOLoadingRun2 BTO Loading
104Run2BTOLoadingRun2 BTO Loading
105Run1HALoadingRun1 HA Loading
106Run1HALoadingRun1 HA Loading
107Run1HALoadingRun1 HA Loading
108Run2HALoadingRun2 HA Loading
109Run2HALoadingRun2 HA Loading
110Run2HALoadingRun2 HA Loading
 
 

ASV Read Counts by Samples

#Sample IDRead Count
80676
105718
1091,574
721,590
1011,619
1071,657
1101,768
812,323
942,403
1082,778
852,839
792,849
742,972
932,990
903,120
713,300
823,482
953,607
784,291
894,350
774,567
964,608
924,676
1065,184
875,214
735,489
835,499
1005,526
885,527
915,570
1045,773
985,862
845,878
1036,251
1026,462
766,482
866,554
977,008
998,428
758,639
 
 
 

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%(>=16 reads)
ATotal reads170,103170,103
BTotal assigned reads161,028161,028
CAssigned reads in species with read count < MPC01,127
DAssigned reads in samples with read count < 50000
ETotal samples4040
FSamples with reads >= 5004040
GSamples with reads < 50000
HTotal assigned reads used for analysis (B-C-D)161,028159,901
IReads assigned to single species155,226154,488
JReads assigned to multiple species710665
KReads assigned to novel species5,0924,748
LTotal number of species460200
MNumber of single species341179
NNumber of multi-species146
ONumber of novel species10515
PTotal unassigned reads9,0759,075
QChimeric reads1010
RReads without BLASTN hits3535
SOthers: short, low quality, singletons, etc.9,0309,030
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.
SPIDTaxonomy1001011021031041051061071081091107172737475767778798081828384858687888990919293949596979899
SP1Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._animalis1297527131130034533102236706680162102004011314582806170259181640618447382012469
SP10Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis409707542014391425052512683232138301011250116714581510338161552071112295521717146
SP100Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus0051910001150001540100215000010000730006470
SP101Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_34800000003100001000000100000000161023270000000
SP102Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;longum004060004302900221431000008100127700140000000
SP104Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;micans00000000002100001070000020000951700340000000
SP105Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus001010003145000625110112300011200720004220
SP106Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0562000010300038100021100010000030000210003
SP108Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;granulosa1680001100002130000831000103000382020461400035
SP109Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;leadbetteri000000700002230001000000010003220030310003
SP11Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus118312326152630140000553600001071411133433881745614526918433
SP110Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii200000005024206220342110042200000010022108
SP111Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_35920000010800011000000130744111453398810100001
SP112Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_51100000000000002490010049000421712444171111130000001
SP113Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_338000000147020010100000001000010013323000000
SP114Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Rhizobiaceae;Rhizobium;loti00000000128300000000000000000200001001100
SP115Bacteria;Actinobacteria;Actinobacteria;Corynebacteriales;Corynebacteriaceae;Corynebacterium;matruchotii10000000000000000000000000000182200000000
SP117Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_4730000000000010028220009108000400800020000000000
SP118Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_4121619363315181000133714000169501056800052151422176292329
SP119Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Bradyrhizobium;sp._str._LMG10689000000003113000011000121000300000000001230
SP12Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis1417292220332000011005940051050722900016531415752237420412138127592461385112831031071202202
SP120Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;odontolyticus0000100000120015610013000012000000000001
SP121Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_346100003031512030000000020100000946992940000000
SP122Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;sp._oral_taxon_928000001000002015000030000000000000000000000
SP123Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-1];sp._oral_taxon_07500000000000111000000000000000041730000000
SP124Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;vincentii10000000000000000000000110000101021000010
SP125Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_27700000000000008000020100000000000090300019
SP126Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;elongata4000000000011000063100021300010000140007
SP127Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;trevisanii0000000000000000000000000000028350000000
SP128Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;sp._oral_taxon_45100000000000000000010000000000198690000000
SP129Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_28000000000100000016800130012003333416120000000
SP130Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_3804991982621438161881540310132822210376391046518292313
SP133Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;pneumosintes0010090020200000610000100000200000000000
SP135Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_II000000192015000174400026200000010031000201
SP137Bacteria;SR1;SR1_[C-1];SR1_[O-1];SR1_[F-1];SR1_[G-1];sp._oral_taxon_34500000000000000071100010150006151413101700000015
SP138Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;sp._oral_taxon_80700000000000000000000000000000123660000000
SP14Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;forsythia260000100131001720502000157311746721645600301029
SP140Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-3];sp._oral_taxon_100601000010005013129485103300201711501013000200049
SP141Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae010000740001201221539100320000032001210010300
SP142Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Slackia;exigua1000000000300000000000400101100111008013
SP143Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;buccae321230000001001010015110001101000011021103053
SP144Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_304000000000000000000000000000000034140000000
SP145Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;buccalis000000100000000000000000000003129420100000
SP146Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_9001000000110301000030000000100011100020102
SP148Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Bacillus;anthracis00100001700000100000000000100000000011010
SP151Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;morbillorum4322028010000201510132100020300000105005213
SP152Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_06422000220015012301110120002001100000000010112
SP153Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oulorum12802000030000700000000011111400052240017029
SP154Bacteria;Firmicutes;Mollicutes;Mycoplasmatales;Mycoplasmataceae;Mycoplasma;faucium0010000040000000000000000000014225140000000
SP161Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Lautropia;mirabilis00000000000310000000000000000112000010000
SP162Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;socranskii00000010100000004000000100210511231010102
SP163Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;canifelinum1001103000000704130010046112411600110001002
SP166Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Propionibacterium;propionicum0000001070040104443100010053255500010000
SP17Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370462647256622143451403003505622910112322333721191152912785345400308433889804
SP170Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_212000000000000000000000000000009712100000000
SP171Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Johnsonella;sp._oral_taxon_1660000000000000000000000000000042930000000
SP172Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hofstadii000000000000000000000000000001510001000000
SP173Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;sp._Oral_Taxon_G43001280000020000200000010000412007160000010
SP177Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_505000000000000000000000000001000034310000000
SP182Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0580000000000008000011000002000001120000001
SP183Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_3651000000000000000000000000010053420000000
SP184Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_8080000000000000100700000100010144770000002
SP185Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pallens00000000000000007000001000000000210000000
SP186Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Methylobacteriaceae;Methylobacterium;hispanicum000000000113500000000000000000000000000100
SP188Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Erysipelotrichaceae_[G-1];sp._oral_taxon_9050000000010100000100000001143111100000000
SP189Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;sp._oral_taxon_0114010001000002110010003000000000102100001
SP191Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae00000173500000100000000012000020010010000
SP192Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-1];[Eubacterium]_infirmum2410000000000000000320005033967732001321120007
SP199Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sp._oral_taxon_0782010000020000000400000101043083640000002
SP2Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._nucleatum650204986855180445012829460808299092852130300252286120582245526057401431624085974010741366105
SP20Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_336566622377234011100023126391004940171001317900017900466634159856390
SP202Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_423000001711030016220030000000200010230000015
SP204Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_95200000000000120000030000010000003010000000
SP206Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;maltophilum0000000000000200600300013022132843030002
SP207Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Erysipelotrichaceae_[G-1];sp._oral_taxon_904002736600000000000000000000000010000000000
SP21Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;intermedia001931030001003020366439000021951406131866129490001011
SP212Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_91330000000000000010017200000000000000000000
SP213Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_25600000000000000000000000000000531470000000
SP219Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Burkholderia;cepacia001000031020600000000011000000000130000610
SP22Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_326551352331200103002115015114210124701003428160441692312423
SP221Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;marshii00000000000000017730100100001200000000000
SP222Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroidaceae_[G-1];sp._oral_taxon_2720050000000000000000000003010020460000000
SP224Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_52600100000000000000000000000832711980000000
SP227Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum0033600000000000100000100001001130001250
SP228Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-4];sp._oral_taxon_103000000003000000000000000100000011150000000
SP23Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];sp._oral_taxon_27426570001004014116103321080241276539462712693628362000280
SP230Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_23700000000000000100010000000000931970000000
SP234Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacteriales;Enterobacteriaceae;Enterobacter;hormaechei00032000000000000000000000000000000020180
SP235Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;dentocariosa0000000000000000000000000000021850000000
SP237Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;goodfellowii20000000000124000111000010000125000030003
SP238Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_3220002000000102040000012100010000000003000
SP239Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIVa];Lachnospiraceae_[G];sp._Oral_Taxon_G3300000000000000000000000000000111370000000
SP24Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;diversum88190000000000034000013400029271121264101202137000112
SP240Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-4];sp._oral_taxon_3690000000010000200000000021100018813100000000
SP241Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;umeaense3000000010000000031000000011012010010004
SP245Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris000000000000020000100002010005219100010000
SP25Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_914005888220000000000822000000600090000110002262460
SP251Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;sp._oral_taxon_0890000000010000000100000000012100730000000
SP255Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;fusca00000000000000000000000000000001480000000
SP26Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_4980000000000000000000000000000066501070000000
SP269Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae;Pseudoramibacter;alactolyticus0010000010000000001000100000011370000000
SP27Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;rectus00271811000000011000000006010613734145421002031
SP276Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;veroralis00000000000000000000000000000106000000000
SP28Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_39200000000000301000150000012000815000000004
SP29Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens43152159223512010385835452206123245932010021000413617812
SP3Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._vincentii171242430132091625903872999341266410752201678354606092371280365739999151327
SP30Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;naviforme400000310000010000000000000003235461000001
SP307Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Afipia;sp._genosp._4000000304267000200000150000300000001002730
SP31Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;endodontalis17000000010000270030311500094724454282132135226563004010
SP32Bacteria;Proteobacteria;Alphabacteria;Rhizobiales;Methylobacteriaceae;Methylobacterium;rhodesianum050743102391559004612000615600021140000002533240
SP328Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Rhizobiaceae;Rhizobium;larrymoorei_Oral_Taxon_D450010500014514000000000021110001615000102005600
SP33Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_219000000000000104000020000000000030000000000
SP34Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;periodonticum3376160123001013012210125001254813419147110614229100137
SP35Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei4710232844206121610227151910313820431313362322172835282611542326526871104
SP36Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group14115144146286088195773784845575373363416502035332410413207418104950919152
SP37Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;heparinolyticus0031672940000000000162090000100001055358004200040013575970
SP38Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_31758137100009069299253321105681852114555623164718717171012010702301650
SP39Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_070630331771200154740154514113161110000306131113586
SP4Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_3602135802000101051170151550619012737145015052321526014911215416013116278000245
SP40Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_215311212000600132163157200241252065180001615351815800038
SP41Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae14491411303365700320325083783935000362214000211653352467032135
SP42Bacteria;Firmicutes;Mollicutes;Mycoplasmatales;Mycoplasmataceae;Mycoplasma;salivarium000000002000001366000214402030201680021001
SP44Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-8];sp._oral_taxon_50027111000020230205316000273240117776331201011
SP45Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];[Eubacterium]_yurii_subsp._yurii_&_margaretiae187130020610404069210461101306217811411081023029016
SP46Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani153142235023100266106207325241108862812629174181126642153355826381568017
SP47Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_361000000000000000000000000000007339280000000
SP48Bacteria;Proteobacteria;Alphabacteria;Rhizobiales;Methylobacteriaceae;Methylobacterium;sp._Oral_Taxon_B84107334809060657560001220002165000348000000024558940
SP49Bacteria;Chloroflexi;Anaerolineae;Anaerolineales;Anaerolineaceae;Anaerolineae_[G-1];sp._oral_taxon_439100000004100000000000001001006418110000000
SP5Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra389142636551721190723308923463526714369230693930124263761455573298340125538387570744198732932011141230414879729
SP50Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens130152130100094192422561164231301310610012223073622612
SP51Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._HOT_20491000055000000204203000123217130413826250000006
SP52Bacteria;Firmicutes;Mollicutes;Mollicutes_[O-2];Mollicutes_[F-2];Mollicutes_[G-2];sp._oral_taxon_906000000001000000000000100000000016110000000
SP53Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_86494233610010602032681813200231671801190398312045994365
SP54Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-6];[Eubacterium]_nodatum10000000200000100000110000000251642290100000
SP55Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Afipia;broomeae0001412000731917500083400000000056111700000012078250
SP56Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_27810000000000108000111000000000101082600012
SP57Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;denticola00010000200000100000000110000221149380000003
SP58Bacteria;Proteobacteria;Gammaproteobacteria;Xanthomonadales;Xanthomonadaceae;Stenotrophomonas;maltophilia0002430104012100000000000000000000000001056430
SP59Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_34900000101300100000000020000000442734400000000
SP6Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum8756254321528175918026964020535218334139226231972292162402105811201376765160512971041304255157112105990310577211551642
SP60Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-3];sp._oral_taxon_35120000000000301000220000000000000000000013
SP61Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_503000000000001000410000000000002015160000000
SP62Bacteria;Proteobacteria;Alphaproteobacteria;Alphaproteobacteria_[O];Alphaproteobacteria_[F];Alphaproteobacteria_[G];sp._Oral_Taxon_A28000000000000000000000000000003741000000000
SP63Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;sp._oral_taxon_0440000000000000000000000000000034321331160000000
SP64Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;fastidiosum111100147150000400003001068560249541439016501047
SP65Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_203207543560000000050340420010183614841740103196
SP66Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_4430000000000000000100000100057000320000000
SP68Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_36200000000200000010000010000000322582040000000
SP69Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;parvulum27311040006041501202510191400923105201712102118151100033
SP7Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;gracilis102117000300111001112145000473204674594712203209
SP70Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hongkongensis000000000001800000100000000008550126730000002
SP71Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;saburreum1502135000131251808925271230024810461262412581502700014
SP72Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_324721000000001940002210001200000000111260007
SP74Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_308220000000000840000000000418800010003551100095
SP75Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-9];[Eubacterium]_brachy0000025000000010000000031110113315130000000
SP76Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi722559600020010061098156514200468222417473430207292114123
SP77Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_22310000000001222000000010010200222615360000000
SP78Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._Oral_Taxon_B57000000000000000000000000000006446000000000
SP79Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp._oral_taxon_110004210004425000022411000013120006000027240002150
SP8Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;tannerae170000000000064034001013402100111013945516373002000202
SP80Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Bradyrhizobium;elkanii00010000621200010100000000021000000001310
SP81Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sinus0023100010020109291220010214895100108036414
SP82Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus76115100114921381481613553314317103820719111711434881084369471218
SP83Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-2];sp._oral_taxon_085000000001000000051500000141622311100110000000
SP84Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis115000352510050001100000100000100000000103800015
SP86Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Peptoniphilaceae_[G-1];sp._oral_taxon_1130000000000000000000000010010142690000000
SP87Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_472133911100000163607134030010311030102329400015
SP88Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;denticola1100000000100190110100102736193132461190000005
SP89Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Filifactor;alocis00000000000000100000000100000431786480000000
SP9Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F-1];Clostridiales_[F-1][G-1];sp._oral_taxon_0930000000000000010000000000000012657550000000
SP90Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;wadei0000001000100010100000000000074551861670000000
SP91Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_28613010002010100210303100201211015127303100041
SP92Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;rava0000000000020190105015800001000000211000000
SP93Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;maculosa46030000020100210021710033121213113163500059
SP94Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;rimae500000001011109003215600319291510119836001301014
SP95Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-2];TM7_[G-5];sp._oral_taxon_35600000113100000000000010000000886766850000000
SP97Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Comamonadaceae;Delftia;acidovorans003462600002111000261900011203000111000000213290
SP98Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;timidum0100000000000000000000050000011713180010001
SP99Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_06115200021160000000000000000000000000205500017
SPN10Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_511_nov_97.314%00000000000000000022000129000000000000000
SPN16Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_317_nov_97.556%00000000000301010151100000000000000010000
SPN17Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370_nov_97.863%1151052146402310000180175900000126710632294966201113110173942301
SPN18Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Faecalibacterium;prausnitzii_nov_82.077%0130302000000200001000000000000000002213
SPN19Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_505_nov_96.281%00000000000000000000000000000136000000000
SPN24Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370_nov_97.863%002882562150000000000142900000466213313200240008038900
SPN34Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;zoogleoformans_nov_96.945%138200001000010170004117000765021000000012014116000100
SPN44Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_914_nov_96.761%00171620000000000220000000000210000000071090
SPN53Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Afipia;sp._genosp._4_nov_80.610%000000000000010000000000000003222640000000
SPN63Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_215_nov_97.845%720000000000102000221000331000139000010008
SPN74Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_275_nov_97.556%0001000000000020514000170000011000000000100
SPN86Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_284_nov_96.748%0000000000000100000010000000000000120300012
SPN98Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_869_nov_95.595%000000000000000171400000000030000000000000
SPP11Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp11_20020000000000002100000417002100000000010
SPP12Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp12_202125000000014014240000011519138202600000000100
SPP13Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp13_2120000074000000130141015500811963733933181242601022
SPP14Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp14_2521000300007010239114001103041400001210132
SPP4Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;multifamily;multigenus;multispecies_spp4_2000130002510000000000050000400000000001700
SPP7Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Bradyrhizobium;multispecies_spp7_20000001014200041000006000030000000000020
SPPN1Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn1_2_nov_97.863%1000003000000000000100011300021010000002
SPPN2Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn2_2_nov_97.582%1000000000000500007000021100030020000004
 
 
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 2No_loading vs plaque_inoculum vs LoadingPDFSVGPDFSVGPDFSVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Run1 vs Run2PDFSVGPDFSVGPDFSVG
 
 

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 1Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA LoadingView in PDFView in SVG
Comparison 2No_loading vs plaque_inoculum vs LoadingView in PDFView in SVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumView in PDFView in SVG
Comparison 4Run1 vs Run2View 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.Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA LoadingObserved FeaturesShannon IndexSimpson Index
Comparison 2.No_loading vs plaque_inoculum vs LoadingObserved FeaturesShannon IndexSimpson Index
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculumObserved FeaturesShannon IndexSimpson Index
Comparison 4.Run1 vs Run2Observed 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 2No_loading vs plaque_inoculum vs LoadingPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 4Run1 vs Run2PDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

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.Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA LoadingBray–CurtisCorrelationAitchison
Comparison 2.No_loading vs plaque_inoculum vs LoadingBray–CurtisCorrelationAitchison
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculumBray–CurtisCorrelationAitchison
Comparison 4.Run1 vs Run2Bray–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.Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA Loading
Comparison 2.No_loading vs plaque_inoculum vs Loading
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculum
Comparison 4.Run1 vs Run2
 
 

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 2.No_loading vs plaque_inoculum vs Loading
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculum
Comparison 4.Run1 vs Run2
 
 
 

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.

 
Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA Loading
 
 
 
 
 
 
 
LEfSe Results for All Comparisons
 
Comparison No.Comparison Name
Comparison 1.Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA Loading
Comparison 2.No_loading vs plaque_inoculum vs Loading
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculum
Comparison 4.Run1 vs Run2
 
 

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 2No_loading vs plaque_inoculum vs LoadingPDFSVGPDFSVGPDFSVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Run1 vs Run2PDFSVGPDFSVGPDFSVG
 
 
B) One-way clustering - clustered on rows (organism) only
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 2No_loading vs plaque_inoculum vs LoadingPDFSVGPDFSVGPDFSVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Run1 vs Run2PDFSVGPDFSVGPDFSVG
 
 
C) No clustering
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 2No_loading vs plaque_inoculum vs LoadingPDFSVGPDFSVGPDFSVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Run1 vs Run2PDFSVGPDFSVGPDFSVG
 
 

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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