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: FOMCX007_Ayoub.R1


I. Project Summary

Project FOMCX007_Ayoub.R1 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
A5A5AMD
B5B5AMD
C5C5AMD
E5E5AMD
A2A2Amoxicillin
B2B2Amoxicillin
C2C2Amoxicillin
D2D2Amoxicillin
E2E2Amoxicillin
A4A4Doxycycline
B4B4Doxycycline
C4C4Doxycycline
D4D4Doxycycline
E4E4Doxycycline
A3A3Metronidazole
B3B3Metronidazole
C3C3Metronidazole
D3D3Metronidazole
E3E3Metronidazole
S1S1Patient_sample
S2S2Patient_sample
S3S3Patient_sample
S4S4Patient_sample
S5S5Patient_sample
A1A1Control_plate
B1B1Control_plate
C1C1Control_plate
D1D1Control_plate
E1E1Control_plate
 
 

ASV Read Counts by Samples

#Sample IDRead Count
A315,755
A116,173
C317,234
S117,926
S521,424
S221,943
A222,081
S322,396
E323,834
E124,080
S424,167
E224,874
C224,916
D425,880
B127,182
B229,079
C129,130
D229,205
D331,620
B336,443
C537,220
D137,232
C444,350
B446,429
B551,435
A453,143
A563,268
E577,269
E493,669
 
 
 

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%(>=97 reads)
ATotal reads989,357989,357
BTotal assigned reads974,758974,758
CAssigned reads in species with read count < MPC011,449
DAssigned reads in samples with read count < 50000
ETotal samples2929
FSamples with reads >= 5002929
GSamples with reads < 50000
HTotal assigned reads used for analysis (B-C-D)974,758963,309
IReads assigned to single species955,261947,648
JReads assigned to multiple species6,4725,941
KReads assigned to novel species13,0259,720
LTotal number of species809254
MNumber of single species488215
NNumber of multi-species2614
ONumber of novel species29525
PTotal unassigned reads14,59914,599
QChimeric reads220220
RReads without BLASTN hits834834
SOthers: short, low quality, singletons, etc.13,54513,545
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.
SPIDTaxonomyA1A2A3A4A5B1B2B3B4B5C1C2C3C4C5D1D2D3D4E1E2E3E4E5S1S2S3S4S5
SP1Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;constellatus971179689710143915863395122119864928122814119648265618615636576215395660317894382383200122252
SP10Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens25343712000212650872341120811071288002504241361227481819460027212784431119
SP101Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;sp._oral_taxon_0440000000000000000000000007481751013
SP102Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Lautropia;mirabilis000001000000000000000000930324239
SP104Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;saburreum815000303700029250006150925010301632118
SP107Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Acidaminococcus;sp._str._D210000000000000002091760940000010000
SP108Bacteria;Proteobacteria;Deltaproteobacteria;Desulfobacterales;Desulfobulbaceae;Desulfobulbus;sp._oral_taxon_04100000000000001100000002025014590224
SP109Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus751230002421960005225000161400224524000876322133
SP11Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sanguinis357002638123110790657936729104924608564844294675257310220349442
SP110Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-6];[Eubacterium]_nodatum00000000000000010000000038036513246
SP111Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_3600000000000173201000000100018149212120136
SP112Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0642191020013111394223001734321333432004017171
SP113Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Slackia;exigua020002630000830002101151100005024
SP114Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_126000000000000000120042000110131590
SP115Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F29000000000069000000000000001429710
SP116Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;periodonticum272801021000210003200600002781600
SP118Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_1550000030000000000000000002930954226
SP119Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;sanguinis104000109100000500008704271311000020
SP12Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flavescens|subflava01737002201176039010819105180971000130003402216
SP120Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;medium000000000000000000000000752410200
SP121Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_14500000000000000000000000028038043
SP125Bacteria;Proteobacteria;Gammaproteobacteria;Cardiobacteriales;Cardiobacteriaceae;Cardiobacterium;valvarum0000000000000000000000003008172
SP126Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-2];TM7_[G-5];sp._oral_taxon_3560000000000001000000000002754129213375
SP127Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._Oral_Taxon_F7801190020212020011000000000000041300
SP128Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;artemidis04000640001100000006210005431070
SP13Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii4249240123850929009129444124000013612414201185187260426
SP131Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2310000000100000000000000002107121952
SP132Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis10705326075173174821156034122102013480256415
SP135Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;oralis000000000000000013146000000000190
SP136Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_34610100000000000000000010022654622729119
SP137Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;fastidiosum00000010005000000000300049175398229160
SP138Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_20300000000000200000001100000540126
SP139Bacteria;Proteobacteria;Deltaproteobacteria;Desulfovibrionales;Desulfovibrionaceae;Bilophila;wadsworthia000000000017813100000000000000400
SP14Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;longum28816703701661146304609246021480030787005022880221
SP141Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2460000000000000000000000001023830
SP143Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_25700000000000000200000000013602722140
SP144Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_23400000000000000000000000056093501
SP146Bacteria;Spirochaetes;Spirochaetes;Spirochaetales;Spirochaetaceae;Treponema;maltophilum00000000000000000000000019014622424
SP147Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3040000000000000005800000003070149243251
SP148Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae19762200000001501434000815003859000102114312735
SP149Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;sp._oral_taxon_19901000134000084000000000000327810250
SP15Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;sp._oral_taxon_09721270005034580120181001022003269000138002
SP150Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;oris00600233112500441260000003122002264140
SP151Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_1480000000000000000000000007013143
SP152Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_1350000000000000000000020002008609
SP153Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Megasphaera;micronuciformis110002473430000001904749055503000112010
SP156Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;gracilis36940009012100013800061201973600006420161455385
SP157Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_3610000000000000000000000007400398137
SP158Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_37046530000000034000000010122000460040172
SP16Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;timidum290001920000481300010119015820000147844229187
SP160Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_I001810743957810000119010120027021
SP161Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;timonensis273738100000003314900000000000180300
SP162Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;sp._oral_taxon_37300000000007000000001520003508217872
SP163Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei49300090010803511000100015007401254230091
SP164Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;odontolyticus9610582001705548640021010036698470363501068033
SP165Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-4];sp._oral_taxon_36900000000000000000000000071201150
SP166Bacteria;Firmicutes;Mollicutes;Mycoplasmatales;Mycoplasmataceae;Mycoplasma;faucium0000000000002000100000007010713837
SP167Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_25600000000000000000000000041032800
SP168Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;denticola0000017100005100023010010121943344
SP169Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;pneumosintes31613320003673491002871280001491020015915901060213268695
SP17Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_II35901128613736694451142220007301038387020124014
SP170Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-1];sp._oral_taxon_07500000000000000000000000022901911715
SP171Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-1];[Eubacterium]_infirmum60000300005000010101296000001358131895
SP173Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_G5510350000000000000242705740260005800150105
SP175Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sp._oral_taxon_0781887040151182030032940000000108921000221133252
SP176Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_51100000000000000000000000011012600
SP177Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;salivarius61010453160656012962901010173211013000
SP178Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-2];sp._oral_taxon_3500000010000000000000000002053106025
SP179Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;canifelinum00000828500000000000034000066000
SP18Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani611600000001304204241500110136969240001490292
SP180Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_278000000000018942000000000000201110
SP182Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sinus3616803099112000283805011230311250002520436
SP183Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._nucleatum418600000000000000000152800015200446
SP184Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_149000164000000179038501814018124400002335744
SP185Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._HOT_20423000000003854000000032400000204
SP187Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;wadei0000020000270003200540000613230198
SP19Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus102764842267611221133465003310001262801281929133510281460250
SP193Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_05600000000000218619100000000000101
SP194Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;flueggei0000020000620000005116000320027044
SP199Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;saccharolytica523900000000610001316002000015061948
SP2Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;lingnae_[NVP]182497109853770007000002200400228000
SP20Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus620809149448007600864226378943031337625913272101631341839377111321175922497603596194728419253
SP200Bacteria;Actinobacteria;Actinobacteria;Bifidobacteriales;Bifidobacteriaceae;Bifidobacterium;dentium0000094000000000000000000109000
SP201Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_29300000530250000000000000000132000
SP202Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;sp._oral_taxon_01100000000000000000001547970000004
SP203Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_335010000000000000012120000105002413
SP207Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Filifactor;alocis00000000000000211000001044022150182
SP21Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis0000061467731013870019229927123029300001197
SP211Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-8];sp._oral_taxon_500400000000000000800030000190332950
SP214Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;sp._oral_taxon_7802250000000024941700000000000010000
SP217Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;actinomycetemcomitans00000000000010000000000000114055
SP218Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_35900000000000000000000000056091439
SP219Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_4480001000000000000000012000010124
SP22Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;atypica8751245100510167401903538316730670495084423621003725011
SP220Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-2];sp._oral_taxon_0960000000000000000000000004000103
SP222Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F];Clostridiales_[G];sp._Oral_Taxon_G741000000000000000000000002580211103
SP227Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_21513000700000500011002001290921018
SP228Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_1320000020000000000000000001425314825
SP229Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;elongata00000000001600000000000000428412
SP23Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_16901100363896006116100305022431201073815546
SP231Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;amylovorum0000000000000000000000004000133
SP232Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oralis000005100038210000000000004191420
SP233Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_17575310012200253600000058200722030
SP235Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;rava0000000000110110110300000777730
SP236Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-9];[Eubacterium]_brachy157000553900015120000000000001110511536203
SP237Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Propionibacterium;propionicum0050000040000153000040000210000151
SP24Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-5];[Eubacterium]_saphenum00010020000000001000000015003281612689
SP240Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis03010000000000072601000002000973
SP241Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F-1];Clostridiales_[F-1][G-1];sp._oral_taxon_09300000000000000000000000020016616123
SP243Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_21200000000000000000000000050070016
SP244Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_322000000000000010000000000671102630
SP247Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2300000000000000000000000004049108028
SP25Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Anaeroglobus;geminatus260004292900020873000000013348000198123
SP250Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_E830600050000040000300013000311113625
SP251Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;sp._oral_taxon_90828248000000010000000000000030000
SP252Bacteria;Synergistetes;Synergistia;Synergistales;Dethiosulfovibrionaceae;Pyramidobacter;piscolens33730001400000000000010000721900013
SP253Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_808000002120000000000000100010695013
SP257Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_897000000130001500000000100142690169
SP258Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;heparinolyticus11310400000000000000000000001160000
SP259Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;parvulum2920000411000115000260029190002922211245
SP26Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_481000100000030030040461288700010140263
SP260Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_G67200002100028130001107040009251424
SP262Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_28600000000000000000000000027520100
SP265Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_270000000000000000000000000430216011
SP269Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_B592005600000000000000000000670008
SP27Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_18033482300173026522191640000001212262600024017079
SP270Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;sp._oral_taxon_8070000000000000000000000002141614327
SP271Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinobaculum;sp._oral_taxon_1830040000500000001000001011030089
SP274Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;intermedia2300020000000000000560004000641
SP28Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;denticola0000200000201011300000002392871379608664
SP281Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;haemolysans02316000075000130000000060000000
SP285Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_238000000000000000000000000139011200
SP29Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_1700000035410001140043823210217160008448729
SP290Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;cardiffensis4480000000001000000000007001302
SP296Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_38800000000006192530000000000000036900
SP297Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;dentalis000000000000000000000000946410031
SP299Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Pseudoramibacter;alactolyticus000006300020000010000000107614112
SP3Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;morbillorum5527530020142301421145201007405601510101616114
SP30Bacteria;Proteobacteria;Deltaproteobacteria;Desulfovibrionales;Desulfomicrobiaceae;Desulfomicrobium;orale02000000000000000000000066002080
SP304Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F-1];Clostridiales_[F-1][G-2];sp._oral_taxon_402010000000000000000000000970000
SP307Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;uli6110001012000840001005340002236130
SP309Bacteria;Bacteroidetes;Bacteroidetes_[C];Bacteroidetes_[O];Bacteroidetes_[F];Bacteroidetes_[G];sp._Oral_Taxon_F700000000000000000000000001776202
SP31Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;vestibularis51013004224173010110161000005160001170
SP310Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_4791250000000010000331300000005300310
SP311Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;tannerae0000100000700000000300001420441344
SP317Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_136000000600020089000000100003000
SP32Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sputigena10000663802103225200074081500017811903952002788
SP322Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_17231000016781000000007003418620154013186
SP327Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_30000000000001000000000000038619121
SP33Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_423302168109113614354172531997740051318966571916770615970048841171104
SP331Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;lecithinolyticum00000000000000000000000060290111
SP337Bacteria;Spirochaetes;Spirochaetes;Spirochaetales;Spirochaetaceae;Treponema;sp._Oral_Taxon_G8500000000000000000000000082086033
SP34Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Eggerthia;catenaformis300000000019000090010300001270803297
SP340Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_280000000000000000000000000271457080
SP345Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-2];sp._oral_taxon_09100000000003000013100000003231827
SP35Bacteria;Chloroflexi;Anaerolineae;Anaerolineales;Anaerolineaceae;Anaerolineae_[G-1];sp._oral_taxon_439000000000000000000000000793353722
SP354Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;granulosa00000000000000000000000021411100
SP36Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-4];sp._oral_taxon_10300000000000000000000000066853246
SP37Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;naeslundii01100000000100020244209122000301254134
SP373Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_3800000000000001001099000000200910
SP375Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Propionibacterium;acidifaciens0000000320000000002000620001000
SP38Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis21815500265717001410480010000097007173010
SP39Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus5651144003235565224572836681381021710244399498004114712053
SP4Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group57345970214433350801773310101869422856488317551736312975012009834617322912227208395
SP40Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sinensis52610525190000001000000000113970097100025
SP42Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mutans0001000000000012110262433010300010240
SP43Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae101620752074011734920166584526401631369298208120418331848001179321410
SP44Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._animalis17382002540720130007214000384100246611890001651461473227
SP45Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_13400030643803730193700071000210043150210275672
SP46Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];sp._oral_taxon_27400000200001000100000000023640091272778
SP48Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;noxia000000000003000220321610131227532588
SP49Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp._oral_taxon_9496011000000013135700000000000170500
SP5Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;mucilaginosa1112287422277875122352662543525080068836665311102751103133
SP50Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;invisus5583000123671009260001050019210002524792565181
SP51Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;diversum7247300094310000497400096162012700064164540
SP52Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp._oral_taxon_5121433400000002235360000000216600330404
SP53Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;umeaense513004400000029960008600041002108134
SP54Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_15000000000000000002002000092515339110
SP55Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-3];sp._oral_taxon_100800000000010000000000000370373136
SP56Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._vincentii140013102850002471300001372230035460008160244193321
SP57Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcus;stomatis22027000139128210104223001111247926503960000041717260838591
SP58Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2370000000000000000000000002030394348438
SP59Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];[Eubacterium]_yurii_subsp._yurii_&_margaretiae560246100100012132141800015210088138000540727319
SP6Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens6180137006672512201401405923713015001132273742101551610746002011112337
SP60Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3760000001000000000100000000155351760
SP61Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F2103000000002950001050058850001007304
SP63Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;asaccharolyticum010003120203070009220100000002100
SP65Bacteria;Firmicutes;Bacilli;Bacillales;Staphylococcaceae;Staphylococcus;epidermidis020000036303000102189315136812760020020000
SP66Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;mucosa099000000006303030981110010000217021120
SP69Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;maculosa670175705616004545012490140800000272884744
SP7Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum1704350002842000373104401034338700820182300079261366114
SP70Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_9520010010500007001910630000015122033894
SP71Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;rimae31300052410005200098073811000541150154337
SP73Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_4420000000000300000000000004302021980
SP74Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_B660000026309002117375759080000002000104210
SP75Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;forsythia341010001001010100100000000266145919278865
SP76Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva0087911264300006619204001910650131426007016011
SP77Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;socranskii00000000000000000000000121879288332158
SP8Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;intermedius13100933752910014244106602200102046200
SP80Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0704442910034322900279103187600000627317010950010156023
SP81Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroidaceae_[G-1];sp._oral_taxon_27221200016264200092000109001580002628012420438
SP82Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;endodontalis0000011000110030010000007904472144126169
SP83Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;dentocariosa00000100514010030403380000001010
SP84Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris000012100001000000000000119516124267
SP87Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;dianae1656000510001889102015130382300013910311623
SP88Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_138942000000007400003011230000620904
SP89Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Peptoniphilaceae_[G-1];sp._oral_taxon_1130000000000000001000000002363300275
SP91Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp._Oral_Taxon_G2471420000000448380000000000040903
SP92Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra701944000143042200035912300148918902269358030027927024701100
SP93Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_279263000000000113190002300400005092487
SP94Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_D990000000000000000000000000001420
SP95Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2680000000000000000000000008184125527
SP96Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_3620000000000000000000000001050418852353
SP97Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;baroniae0000000000000003500000008207214162
SP98Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_05874801344490000106070017056558117190034011926
SPN107Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva_nov_97.865%0068561350000000000000000000020000
SPN129Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_180_nov_96.809%37640100000000000000000000001180000
SPN14Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis_nov_97.509%0000000000000001814820000001001170
SPN15Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F85_nov_82.517%000100001100000010000000010180920
SPN151Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370_nov_96.797%245700000000000000000000003070000
SPN159Bacteria;Spirochaetes;Spirochaetes;Spirochaetales;Spirochaetaceae;Treponema;maltophilum_nov_97.527%0000000000000000000000003611141101
SPN184Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_442_nov_95.745%00000000001400000000000090442980
SPN194Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_511_nov_96.441%000000000100001000000000102093091
SPN2Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;naeslundii_nov_97.527%02000000000000000006195000000065
SPN206Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_388_nov_97.518%000001000016878000000000000007600
SPN212Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_481_nov_97.887%00062000000620200000000000000000
SPN223Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani_nov_97.872%00000000007397820000001020000600
SPN234Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_137_nov_96.441%000009257000000000000000000103000
SPN244Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370_nov_97.153%81100000000170000000000001380100
SPN254Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;sp._oral_taxon_780_nov_86.786%61100068180051301010804372600010100
SPN27Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani_nov_97.518%0000000000565960000000000000000
SPN39Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_II_nov_97.865%0000000025950000000000000000000
SPN43Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_175_nov_96.809%01100024331900881480063101330003112302
SPN61Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_490_nov_95.730%00000000000000000000000012010600
SPN73Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F-3];Clostridiales_[F-3][G-1];sp._oral_taxon_876_nov_74.912%0000000000000000000000006740361
SPN84Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_258_nov_97.857%0000000000000000000000000010000
SPP1Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp1_2140000000053000000051200058017040
SPP12Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;multispecies_spp12_29230003500023402021518603440100010020
SPP13Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;multispecies_spp13_21665710000000000000000000000000
SPP14Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_spp14_2030001100003511000000001000377803
SPP17Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_spp17_20001041016300000000000000082063029
SPP22Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;multispecies_spp22_262000094117032401181980156028190110912900000020
SPP24Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_spp24_30000014000410000207394800005530173
SPP25Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_spp25_2300000000026120000000371050005010035
SPP26Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_spp26_23000000000320003906648300110000237
SPP5Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;multispecies_spp5_2000000000000000000000000592489018
SPP6Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;multispecies_spp6_2140030250236017000000000001000114000
SPP7Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];multispecies_spp7_20000000000000000000000006013850
SPP8Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp8_234200535373713712170018122711745300225001
SPP9Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp9_20000072680007432000000006000558308
SPPN2Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_sppn2_2_nov_96.113%0000000000410000000000000709900
SPPN20Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_sppn20_2_nov_97.509%78000000009822000000000000401200
SPPN8Bacteria;Proteobacteria;Deltaproteobacteria;Desulfovibrionales;Desulfovibrionaceae;Desulfovibrio;multispecies_sppn8_2_nov_91.844%00000000000000000000000039003460
SPPN9Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;multispecies_sppn9_2_nov_97.865%00000000000000000000000028231440173
 
 
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 1AMD vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 2Amoxicillin vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 3Doxycycline vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 4Metronidazole vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 5Patient_sample vs Control_platePDFSVGPDFSVGPDFSVG
 
 

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 1AMD vs Control_plateView in PDFView in SVG
Comparison 2Amoxicillin vs Control_plateView in PDFView in SVG
Comparison 3Doxycycline vs Control_plateView in PDFView in SVG
Comparison 4Metronidazole vs Control_plateView in PDFView in SVG
Comparison 5Patient_sample vs Control_plateView 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.AMD vs Control_plateObserved FeaturesShannon IndexSimpson Index
Comparison 2.Amoxicillin vs Control_plateObserved FeaturesShannon IndexSimpson Index
Comparison 3.Doxycycline vs Control_plateObserved FeaturesShannon IndexSimpson Index
Comparison 4.Metronidazole vs Control_plateObserved FeaturesShannon IndexSimpson Index
Comparison 5.Patient_sample vs Control_plateObserved 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 1AMD vs Control_platePDFSVGPDFSVGPDFSVGPDFSVG
Comparison 2Amoxicillin vs Control_platePDFSVGPDFSVGPDFSVGPDFSVG
Comparison 3Doxycycline vs Control_platePDFSVGPDFSVGPDFSVGPDFSVG
Comparison 4Metronidazole vs Control_platePDFSVGPDFSVGPDFSVGPDFSVG
Comparison 5Patient_sample vs Control_platePDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

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.AMD vs Control_plateBray–CurtisCorrelationAitchison
Comparison 2.Amoxicillin vs Control_plateBray–CurtisCorrelationAitchison
Comparison 3.Doxycycline vs Control_plateBray–CurtisCorrelationAitchison
Comparison 4.Metronidazole vs Control_plateBray–CurtisCorrelationAitchison
Comparison 5.Patient_sample vs Control_plateBray–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.AMD vs Control_plate
Comparison 2.Amoxicillin vs Control_plate
Comparison 3.Doxycycline vs Control_plate
Comparison 4.Metronidazole vs Control_plate
Comparison 5.Patient_sample vs Control_plate
 
 

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.AMD vs Control_plate
Comparison 2.Amoxicillin vs Control_plate
Comparison 3.Doxycycline vs Control_plate
Comparison 4.Metronidazole vs Control_plate
Comparison 5.Patient_sample vs Control_plate
 
 
 

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.

 
AMD vs Control_plate
 
 
 
 
 
 
 
LEfSe Results for All Comparisons
 
Comparison No.Comparison Name
Comparison 1.AMD vs Control_plate
Comparison 2.Amoxicillin vs Control_plate
Comparison 3.Doxycycline vs Control_plate
Comparison 4.Metronidazole vs Control_plate
Comparison 5.Patient_sample vs Control_plate
 
 

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 1AMD vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 2Amoxicillin vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 3Doxycycline vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 4Metronidazole vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 5Patient_sample vs Control_platePDFSVGPDFSVGPDFSVG
 
 
B) One-way clustering - clustered on rows (organism) only
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1AMD vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 2Amoxicillin vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 3Doxycycline vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 4Metronidazole vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 5Patient_sample vs Control_platePDFSVGPDFSVGPDFSVG
 
 
C) No clustering
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1AMD vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 2Amoxicillin vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 3Doxycycline vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 4Metronidazole vs Control_platePDFSVGPDFSVGPDFSVG
Comparison 5Patient_sample vs Control_platePDFSVGPDFSVGPDFSVG
 
 

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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