FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

The Forsyth Institute, Cambridge, MA, USA
November 17, 2022

Project ID: FOMCX011_MM3


I. Project Summary

Project FOMCX011_MM3 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

#SampleIDDiseaseGlycerolPassageGroup
M1HealthyInitial-microbiomesInitial-microbiomesHealthy
M2HealthyInitial-microbiomesInitial-microbiomesHealthy
M3HealthyInitial-microbiomesInitial-microbiomesHealthy
M4PeriodontitisInitial-microbiomesInitial-microbiomesPeriodontitis
M5PeriodontitisInitial-microbiomesInitial-microbiomesPeriodontitis
M6PeriodontitisInitial-microbiomesInitial-microbiomesPeriodontitis
M7Healthy15%_glycerolImmediate_passageHealthy
M8Healthy15%_glycerolImmediate_passageHealthy
M9Healthy15%_glycerolImmediate_passageHealthy
M10Healthy20%_glycerolImmediate_passageHealthy
M11Healthy20%_glycerolImmediate_passageHealthy
M12Healthy20%_glycerolImmediate_passageHealthy
M13Healthy25%_glycerolImmediate_passageHealthy
M14Healthy25%_glycerolImmediate_passageHealthy
M15Healthy25%_glycerolImmediate_passageHealthy
M16Periodontitis15%_glycerolImmediate_passagePeriodontitis
M17Periodontitis15%_glycerolImmediate_passagePeriodontitis
M18Periodontitis15%_glycerolImmediate_passagePeriodontitis
M19Periodontitis20%_glycerolImmediate_passagePeriodontitis
M20Periodontitis20%_glycerolImmediate_passagePeriodontitis
M21Periodontitis20%_glycerolImmediate_passagePeriodontitis
M22Periodontitis25%_glycerolImmediate_passagePeriodontitis
M23Periodontitis25%_glycerolImmediate_passagePeriodontitis
M24Periodontitis25%_glycerolImmediate_passagePeriodontitis
M25Healthy15%_glycerolOne_week_passageHealthy
M26Healthy15%_glycerolOne_week_passageHealthy
M27Healthy15%_glycerolOne_week_passageHealthy
M28Healthy20%_glycerolOne_week_passageHealthy
M29Healthy20%_glycerolOne_week_passageHealthy
M30Healthy20%_glycerolOne_week_passageHealthy
M31Healthy25%_glycerolOne_week_passageHealthy
M32Healthy25%_glycerolOne_week_passageHealthy
M33Healthy25%_glycerolOne_week_passageHealthy
M34Periodontitis15%_glycerolOne_week_passagePeriodontitis
M35Periodontitis15%_glycerolOne_week_passagePeriodontitis
M36Periodontitis15%_glycerolOne_week_passagePeriodontitis
M37Periodontitis20%_glycerolOne_week_passagePeriodontitis
M38Periodontitis20%_glycerolOne_week_passagePeriodontitis
M39Periodontitis20%_glycerolOne_week_passagePeriodontitis
M40Periodontitis25%_glycerolOne_week_passagePeriodontitis
M41Periodontitis25%_glycerolOne_week_passagePeriodontitis
M42Periodontitis25%_glycerolOne_week_passagePeriodontitis
M43Healthy15%_glycerolOne-Month_passageHealthy
M44Healthy15%_glycerolOne-Month_passageHealthy
M45Healthy15%_glycerolOne-Month_passageHealthy
M46Healthy20%_glycerolOne-Month_passageHealthy
M47Healthy20%_glycerolOne-Month_passageHealthy
M48Healthy20%_glycerolOne-Month_passageHealthy
M49Healthy25%_glycerolOne-Month_passageHealthy
M50Healthy25%_glycerolOne-Month_passageHealthy
M51Healthy25%_glycerolOne-Month_passageHealthy
M52Periodontitis15%_glycerolOne-Month_passagePeriodontitis
M53Periodontitis15%_glycerolOne-Month_passagePeriodontitis
M54Periodontitis15%_glycerolOne-Month_passagePeriodontitis
M55Periodontitis20%_glycerolOne-Month_passagePeriodontitis
M56Periodontitis20%_glycerolOne-Month_passagePeriodontitis
M57Periodontitis20%_glycerolOne-Month_passagePeriodontitis
M58Periodontitis25%_glycerolOne-Month_passagePeriodontitis
M59Periodontitis25%_glycerolOne-Month_passagePeriodontitis
M60Periodontitis25%_glycerolOne-Month_passagePeriodontitis
I1Health_inoculumHealth_inoculumHealth_inoculumHealth_inoculum
I2Periodontitis_inoculumPerio_inoculumPerio_inoculumPeriodontitis_inoculum
I3Health_inoculumHealth_inoculumHealth_inoculumHealth_inoculum
I4Periodontitis_inoculumPerio_inoculumPerio_inoculumPeriodontitis_inoculum
 
 

ASV Read Counts by Samples

#Sample IDRead Count
M162,049
M245,840
M155,855
M25,975
M16,227
M326,561
M206,600
M186,860
M236,962
I27,170
M407,236
M387,393
M228,164
M548,315
M108,338
I38,615
M348,635
M78,812
M178,888
M398,922
M509,078
M49,145
M149,272
M319,402
M199,664
M269,749
I49,755
M99,762
M589,868
M610,132
M1110,450
M310,556
M3010,639
M4810,733
M4210,816
M4611,103
M4911,506
M5611,522
M2111,553
M5511,702
M4411,779
M2711,956
M3612,198
M812,296
M5212,317
M1212,339
M4312,394
M5712,598
M2812,758
M5912,799
M4712,809
I112,948
M6013,353
M1313,578
M3313,613
M4113,732
M5113,943
M2914,469
M514,738
M2515,036
M3515,478
M3715,942
M5316,798
M4517,507
 
 
 

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%(>=65 reads)
ATotal reads677,202677,202
BTotal assigned reads652,750652,750
CAssigned reads in species with read count < MPC07,012
DAssigned reads in samples with read count < 50000
ETotal samples6464
FSamples with reads >= 5006464
GSamples with reads < 50000
HTotal assigned reads used for analysis (B-C-D)652,750645,738
IReads assigned to single species624,888620,478
JReads assigned to multiple species6,3516,076
KReads assigned to novel species21,51119,184
LTotal number of species750196
MNumber of single species462158
NNumber of multi-species225
ONumber of novel species26633
PTotal unassigned reads24,45224,452
QChimeric reads415415
RReads without BLASTN hits99
SOthers: short, low quality, singletons, etc.24,02824,028
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.
SPIDTaxonomyI1I2I3I4M1M10M11M12M13M14M15M16M17M18M19M2M20M21M22M23M24M25M26M27M28M29M3M30M31M32M33M34M35M36M37M38M39M4M40M41M42M43M44M45M46M47M48M49M5M50M51M52M53M54M55M56M57M58M59M6M60M7M8M9
SP1Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;forsythia5669064139000000000000000000000000000000000000000000000000000000010000
SP10Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._animalis4036668469163274155154695216653135821361052042725658441677615622719252875141305362514293438939212423309035495415822333140112911673439378917420307309170
SP100Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_280340500000004105602130000000000000341301015000000005006155114721146000
SP101Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;baroniae01180000000312770137800000000000002012333715201291880000000130058613629525536281162000
SP103Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_82007700000000041413003140100000000000452012015300000001300918225561928865000
SP105Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp._oral_taxon_1101113051841388322518393054035491901255343343421723140185458441049311329211214254544562844144213867053781176103633241123237562
SP106Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_14950982001100000020000010000600110101001202100000100000121010018201
SP107Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_05639023309522012610000380000029121924369721154700000000002522322822241030621480000000000560
SP108Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_134355618695192550165942194620322418214815162611221214551461521105118996829382419109381820456015115765863
SP109Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;pneumosintes279141401383382010215431000835731014181072817311721918181700044202904252020112911191524154102
SP11Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_1361262517011100000015130002613928135826720511030021297414212220201000111010
SP110Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;parvulum7395118624624014661021103080018635521182235371536100100301023573011178114890001000010859873
SP111Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_30830000841002566107450000470200016416604910110610312000040001434165832354131323724700000000701101993
SP113Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus012529680000000140104937657181418000000020030010004122000070000000001023211
SP114Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;gracilis2013424762100000000000000000000000000000000000000000000000000000000000
SP116Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Peptoniphilaceae_[G-1];sp._oral_taxon_1130590110000000000000000000000000000000000000000000001000000000000000
SP117Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_919061000010001520003421000002000072361381115283018000000010001939172223383240950000
SP118Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis610428131639228894200003000000109152692984140000000000241419472613012120010000010354540
SP12Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum3551810912839530330737180769535298122091216877381203128923877115638310276574140327157027507118241294327119292724112414191430157623731769536430100688390770613671969115215664175680931814114448345583318467512934600287558388
SP120Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_G671041310114001007000001000070110121410001015012001000003012306121
SP122Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_3592616582000000000002000000001210000000000000000000000000000000000000
SP123Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-7];sp._oral_taxon_08610001410617361141414481733141812337811359120212012310179171040615020010211114148
SP124Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_2866224717000000000000000000000000000000000000000000000000000000000000
SP126Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae885385501027001132350000512233323321302833521635334212278132811261913922241357864231282515342417510814022
SP127Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-8];sp._oral_taxon_5006130192138116401709134553421101781826121935173817153887610165521981016181032136466131316810345
SP129Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Kingella;oralis971275000000000000000000000000000000000000000000000000000000000000
SP13Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis4315212404272212000010000008324150204000000000010100100200000000000101015
SP131Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_175217681000000000000000000000010000000000000000000000000000000000000
SP132Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_146220331361300000000960000015944412581230101602010010006201514915361251131100001010100
SP133Bacteria;Proteobacteria;Deltaproteobacteria;Desulfobacterales;Desulfobulbaceae;Desulfobulbus;sp._oral_taxon_04133286020000000000000000000008000000265030141212111314260001000350001251021384000
SP136Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0589789022153421120721240216219215268285358561939441710100000030002211209121121121290000000000222120
SP138Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Megasphaera;micronuciformis3040510622381000000000041324478032111500000010004182114203110300000000001096
SP139Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;buccae19510800000000007000000000050000000000500000001008000000000060000
SP14Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sanguinis25856101610246463526320510063035528515446132417680995839185485054246118853353543512110334302545224211863121313144134222186
SP140Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;lecithinolyticum25156359000000000000000000000000000000000000000000000000000000000000
SP142Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;intermedius15347313000000300000000000000070002000000000000100000000000000000010
SP144Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinobaculum;sp._oral_taxon_183161025617100000000000000000000000000000000000000000000000000000000000
SP145Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_32260575000000000000000000000020000000000000000000001000000000010000
SP146Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_155221262410006300110000000155700054232600160101015152142010010020101001297
SP147Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;melaninogenica14304212651107040172001018000006117038112110000000501032557735166415900000003101511
SP148Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii185442390350113275680000520076162100166021100020050002430231088900100002101282
SP149Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_34975353220000000000000000000000000000000000000000000000000000000000000
SP15Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oulorum80326627145146205194922271687644137213952125793293622713325821426037877811118922310790821912551403506516961643572122185159269131514124266557058313462378
SP150Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3152032649252001141617200311053118575901142030112201212451328121011415162213350811126
SP151Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae1191111913100000000000260000000000550000000000100010000004111000000000000
SP152Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_892360770000000600512000000152224237156612130100003020210021402715211405150000
SP155Bacteria;Firmicutes;Mollicutes;Mycoplasmatales;Mycoplasmataceae;Mycoplasma;faucium076236000000000000000000000000000000000000000000000000000000000000
SP158Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_8089251096000000000000000000000000000000000000000000000000000000000000
SP16Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani31213541958192185183147121145602852415406629253413101570720101745227136579277310165815352217733219014920687257201481322518357313581018255138333221284226652254754
SP163Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-6];[Eubacterium]_nodatum052013000000000000000000000000000000000000000000000000000000000000
SP164Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_2123261953000000000000000000000110000000000100000000000000000000040000
SP168Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_132281828000000000010010101000000000001134000200000000001000000000300
SP17Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-2];TM7_[G-5];sp._oral_taxon_356107170168000000000000000000000000000000000000000000000000000000000000
SP171Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_3461233160142000000000000000000000000000000000000000000000000000000000000
SP174Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_180720234000000000003000000000010000000000400000000004000000000050000
SP175Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0701355810100000005125022022100000000000000080000000000240000000000140000
SP176Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_314313114403026000031010000000000000000000004010000000010000000001230000
SP178Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;diversum84862505013182801211100000020001700101112003100001100024601020000004605337
SP18Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;dianae23143229291540254314132971433620164972882141920481423919117221114616632181761435816446934510675712323913437353
SP186Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_30017121747000000000003000000000030000000000000000000002000000000010000
SP19Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_278233325410861239180036525516863093392201251222882493823717117025845384283263811134769228371671987481191630425579358275117302181185340172669648336413464265737543
SP190Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;umeaense400171200000000002000000022050000000000400000020000000000000000000
SP191Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;constellatus131354884720004380000000010000009000400000040000000002110100000001110002
SP192Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;elongata850134000000000000000000000000000000000000000000000000000000000000
SP197Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;goodfellowii850366000000000000000000000050000000000000000000000000000000000000
SP199Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva341139000000000060000000000270000000000500000100011010000000030010
SP2Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus31712230566971670184217724013018394376921653181256139254149533530135108641041018239122188738576414919851016557705710427281576418174920274429317
SP20Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_2031282211000001000000000000000000000000000000000000010100100000000000
SP200Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;wadei5046377000000000000000000000000000000000000000000000000000000000000
SP207Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_37615800000000002100020000000000000100010000000000000000000000050000
SP21Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;pyogenes000000000002301830901323264120000000000505146344323483910814088390111470000001500135351412703123832523920311000
SP212Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;salivae530791201810000000000000610000003000000000002201000030000000000384
SP215Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;veroralis480462300000000001000000000000000000000100000001000000000000000000
SP22Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus86365251497670873272041575533386727443885698202412912971511078947423017726216429900000018000512647193019433131520000000024193133112
SP229Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mutans0772713000000000000000000000000000000000000000000000000000000000000
SP23Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._nucleatum0280235000000000020160020000000000001010100000000000750090000010250000
SP231Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;dentalis207035000000000000000000000000000000000100000000002000000000000000
SP233Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-3];sp._oral_taxon_100360143000000000000001101000000000000300000000000002002000300000000
SP235Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;timidum348023000000000000000100000000000000000100000000000000000000010000
SP24Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._vincentii51952063063514715173661091785144180335242145954554134216613625282546641572134654245325518381673250382611078061141294941864895552444624591831042211052012543664382738894132
SP240Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_1290100130000000026103305833800000000002435111225300000002001125110152000
SP245Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_9202002100010003132011002000040001083614004211110011080011006305010
SP25Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;naviforme5404137101362394232479351183958154622403919821351623200060121000216335211192286620400264050523826
SP250Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-1];sp._oral_taxon_0753205914000000000000000000000000000000000000000000000000000000000000
SP252Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Micrococcaceae;Rothia;dentocariosa1430147000000000000000000000000000000000000000000000000000000000000
SP254Bacteria;Bacteroidetes;Bacteroidetes_[C-2];Bacteroidetes_[O-2];Bacteroidetes_[F-2];Bacteroidetes_[G-6];sp._oral_taxon_516000110000000000000000000000000000000000000000000000000000000000000
SP257Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_301210464000000000000100000100010000331410506000101000001200001112000
SP26Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._Oral_Taxon_H276212923920010511191001150530121383611132010150030001210513025720210011150366
SP260Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_417170483000000000000000000000000000000000000000000000000000000000000
SP263Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;artemidis286052000000000070000000002222024000000300010010000000000000010100
SP268Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2316421361200000000000000000101000410000000000003583151600010000000000000
SP269Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_H640001033271300204011023100415012521120000000100006273003252325022105
SP27Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;fastidiosum231714294001000000030000041534912041320144152017702512031011111053101
SP277Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;mucosa2732814000000000000000000000000000000000000000000000000000000000000
SP28Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Anaeroglobus;geminatus2001818164987692269242266401133779193281018148475170122101621614218629401132799111526451355327154240165014632591745378711711151158610974
SP283Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;maltophilum8361213200000100003110001013430101001000001137444201212111112604000
SP3Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;asaccharolyticum00003263335820806910401294145307664412435207042811817111271111513619736596135219290001150041243236
SP30Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;buccalis570529000000000000000000000000000000000000000000000000000000000000
SP31Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group108698346143484119168911815145452219849152236733343910281134266195118346222174652810125820775471568812266150541224514716717115221755165935852
SP313Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_4797011240000000000290000000000770000000000001000100000000000000005100
SP315Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_448244454000000000000000000000000000000000000000000000000000000000000
SP32Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra1121125435550001538241024436330223643523716617233785139821225250211816110298316251254000015811693
SP33Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi491377923154701166352591371142313724341363491482002032005311762119110267509413648388631242262105422677342135330177957098177162126314297299143180232237207281148238615045
SP34Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;rimae4848455430367662856226634582846321414165437211900322131000113243512375120120112221273129
SP35Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_06430312121231921983010226223120364252142935371511783413134545684190000004000744210301500010000306010063
SP36Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis1430577010220072910182100001847849120741582013372056767227810471466374564271950200413341946150255610111261521897871856174814528348114075690110
SP37Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._HOT_204107823011197779182028337822727229429933212165378310721301153522878410412893831315165811111212710506491719115911041197573435527251921102613514235123857937962
SP38Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;denticola758569623133144124317225216000141136020411300010020002210926171514300820207714
SP39Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_4730117100746325900011282902000074153873114405458888544133100101579129117139551611705582554439063255830939102791994990951156691847100
SP4Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sinus00002146449806545518537925283511167761272717131068103120205363265391157186441993822201124521260561935032641019614625136135
SP40Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;rava1414234396106101404196601476593699416542386289333119989154795221953730340404841398223552651587129753345058782713840241422416535500145189193
SP42Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_2753005432020000000130000000112630101300005000101779040051664531521002
SP43Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;endodontalis5581027515930051000104290039000171316986046476621353717749482281308359185379336146139164235390173431456357737512864476796999406036966401098000
SP44Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroidaceae_[G-1];sp._oral_taxon_2721795089000000010000000000000001000020011600205413204030300101040000
SP45Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_4232646643268439162168416827291515116760441410131343449469827284810512615754700000125000149136197929989863567131000001003918871615857
SP46Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;marshii23300000000120412158218046877822300000000107081304996621405537224812039360000000390145548720920819032938468736605000
SP47Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;periodonticum160292000000134200100074961050001000033012211413921484190000201110000513013210
SP5Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;tannerae240162278676134191806774491163441900156554156539000436446877224434423327245192711105610679445982249812094435607678481741881911400300510558591439
SP50Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-1];[Eubacterium]_infirmum3312323743693133877280114759245413414223994902923441303023145144835918280009001193186430136393120104768965950001015096144140
SP51Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];[Eubacterium]_yurii_subsp._yurii_&_margaretiae191254844023829547432617161211301269030194189401160108784546721769139537911321113730176653689558010203225643463706247282612008184881345484419102788201176100200217259240239288396364594647
SP52Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;invisus473422113710142226140262149521913910411711120219201451517205274356363191393127728510217896182681042072146135252124284114152145258402233171301528415011415312316121101241311270
SP56Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens5167811182861212931572510536904434748321328114920234944218233128029602737623001219415225319832218210839729323411101190589977
SP58Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_2792774384951352083532015951174574783196525451132105214410585120234521091025010198125128136231722235200962851922331702732502262142773322429315658665418649148383277
SP59Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;intermedia06013500100004174906700000000000101514315614501500000000680025443230062730348538738959380000
SP6Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];sp._oral_taxon_27443116222190261451122138214451601023202669280118671110306780279898222610652620379113741468141218913333369270346011058493112443153422952646851192411469915428122434025259891222
SP60Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_4815004171519829880000160000092227582915250010001010465294321411020000101321263425
SP63Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oralis241220514277179911234361116643700036544610456433072213401516113966218673261264821534108924079486639374107358570
SP64Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Eubacterium_[XI][G-7];yurii02000000000015570617311010000000000060685585183628445358000000041001416717192821162526000
SP65Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis90321220000000000040000000000250012110121412200000006000010000273000
SP66Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;morbillorum10791012156964106224139145400176700133625840446219648126107638841014413455836906966736111689891242229440124203632
SP67Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_B66155808220240000050000010321100001000000100000000001010000000000255
SP69Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei3133336431001110202353412132211381110111643333998173149543678013111112111612896211107451724738166211116196246232185296146295000
SP7Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sputigena35211623911337382784161555547146201689259311101072105111613495144671228598831231042534637331051041064772911631961638313773994961131770581236380358266
SP70Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sp._oral_taxon_1020300000110001197365306931191590000000000326314283489196185412165272510000000510021291911133121264033000
SP71Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;saccharolytica210168901000000009000005469122081126001000100000000212000000000060020
SP72Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris26920784134201000001001000000000020000000000200000000000000000000000522
SP73Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;flueggei1401251001010253652521415101002000412211676397208000001091185014204151720432011
SP74Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;noxia59643286002000000050010022100131014000000100000000000000000000000120
SP75Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens92225341900001000001300000111101262031825000000000000020020180000000000000
SP77Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;denticola92245173000000000000001000000000000142011012000000001001720011112000
SP79Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus721192354112592000048011009811734802617103811111917101912142511761328321562777761633143019365240545120
SP8Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-9];[Eubacterium]_brachy2484812600000000005702271424238914510000000000000206039180000000000000005105010000
SP81Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis466233463648537326396437531961732411550995283346139865018206314172985100000100027111735218010110000010020509345
SP82Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;maculosa284513084231001103562300023221321144125381421111319141162141116114681151675437398115466
SP83Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370010100000003565786604019747000000000013817626725392501101861050000000900116165101283301781860188000
SP84Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcus;stomatis4240984000000000000000000000000000000000000000000000000000000000000
SP86Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3179061125761240036810392177010123162849211412834117111255712911411451112612168443781319151613816
SP88Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_237892621800000000000000000011000000000000000000411200000040000000000000
SP9Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pallens1930038937731102131021315511000207010010217353945974995361632366495410428000100201034319994282211717281492412013425303921240000108081044995
SP90Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;infelix3801254532266628108052240023112510232839383025324468121184133222079187903831251168753910411246181021285034
SP91Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae12035418460000000100000120141330000000000000302576030410000000090347
SP92Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pleuritidis45294816000000001040020000000000000001000100000100001006010000100000
SP93Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F2950513302100000003800000732012792113610000000003376467013321100001000100
SP94Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_51152735028000000000000000000000000000000000000000000002000000000000000
SP95Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_16917452313000000000000000000000010000000000000000000001000000000000000
SP96Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_H214840300020000003011215000000100100102006000000001214001100000060110
SP97Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;socranskii87825370102110022111400020202101030200001011566413371391110223711002
SP99Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_3604378333118314000616212158192241491464769173935122154363117225982420391721095001512103621227486135000
SPN1Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F85_nov_82.746%0224021545001628079245180021000100000000100004300100010000000020113
SPN100Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._HOT_204_nov_97.849%8000375204875341221301001370000089942366169464124322341920000000000619447105153857062120050000000000623572544
SPN102Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp._oral_taxon_110_nov_97.143%50001303590746600004000106024252125202352000000000053110100506140000000010284440
SPN13Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;heparinolyticus_nov_95.745%0000000000016553884079179299000000000023281926416257212200000003200121263246153312000
SPN135Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._nucleatum_nov_93.380%00000032010093111413111103344553311198107812181812310432587993582030382622419353
SPN14Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370_nov_93.007%0000110881000000101000518115155040000000000478325000000000000009125
SPN141Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum_nov_97.491%3017094516005633810000813530310110212134024101235982002441608508106
SPN147Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_481_nov_96.786%0200000000009020311100000000000224121915131025231200000009002716101119242633633000
SPN159Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];[Eubacterium]_yurii_subsp._schtitka_nov_96.071%01000000000142201325810000000010079818103810121600000002300914720241422191342000
SPN174Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-8];sp._oral_taxon_500_nov_96.786%02007144210164873523412327142113933162119464191442823635963510451345210
SPN179Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum_nov_97.857%2000120102014220240002011331103252652328520343383309191012111341034101
SPN191Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_305_nov_92.958%600000000000000000000131182302037000000000015715106726030230000000000141
SPN202Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;dianae_nov_97.500%9030122021201018000012101050105017213207341210321030231611211343222
SPN214Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis_nov_97.500%0004000000000000000000004105100683936522000023101100111212121256463000
SPN225Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._HOT_204_nov_78.339%0000233400001010030004422622413224824354523001007234513399415243
SPN237Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oulorum_nov_97.865%0000204601000000000001113130342700000000001321347510059000000000051411
SPN24Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F86_nov_93.594%02240001962010560410182121211001000000000000042100100010000100001214
SPN36Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pallens_nov_97.865%100004481000000000000242202011500000000001021666090330000000000886
SPN45Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Shuttleworthia;satelles_nov_96.797%6000038311617000000000000010000010000000000121010203220000000000335
SPN57Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._nucleatum_nov_93.031%0000002111100233040011010171222222413130322112112200404325102111
SPN67Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;shahii_nov_73.220%0000001001000110430000001100110345531136500001212012631373603000
SPN78Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;marshii_nov_97.500%001000000003176000000000000000002225000026700000000000010002405000
SPN86Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;forsythia_nov_96.429%00082000000000000000000000000000000000000000000000000000000000000
SPN87Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F86_nov_95.088%60000121633000000000002311101280000000000151114110000000000000944
SPN88Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_305_nov_91.489%0000000304000000000001171280001210000000000231320001000000000005105
SPN90Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;dianae_nov_97.527%011000000000016400122240000000000105335202623143752260001000220042623117445249581062000
SPN91Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];sp._oral_taxon_274_nov_96.441%01000000000000000000000150011022117552375100010004001012001111000
SPN92Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi_nov_94.700%0000000000000010020000411000245521204173421010003011200211010200
SPN93Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani_nov_97.872%23000021134000000000001104645502000000000000021000000000000000010
SPP11Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp11_226410464326734312756248380295247663694111491544622822293451340206292877177349951029136137133527910813026412326101516153918936862
SPP17Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;multispecies_spp17_2000023320500000200000281043440212160000000000266000101100000000004105
SPP18Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;multispecies_spp18_2902021402501697000070000082224401430245000000000008123482113111090870000000000264969
SPP21Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;multispecies_spp21_20128031000000000000010000000000000034000003000000000000830010100000
SPP3Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp3_23010002010000010000009330000000104000011225112100100002343023301982
SPPN11Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn11_2_nov_95.699%0002066502001010110005125400001000000000000211131020110000111224
SPPN12Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn12_2_nov_96.454%000000000005301910073200000000000037508361100355232000000020027362210113550036000
SPPN14Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn14_2_nov_96.797%89141352301000000005000000100000081000000000006000000000000000000000
SPPN4Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn4_2_nov_89.510%0000001200003120010000000101201890741096550000022100118266242323125115000
 
 
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 1Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
 
 

VIII. Analysis - Alpha Diversity

 

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


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

 

Alpha Diversity Analysis by Rarefaction

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


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

 
 
 

Boxplot of Alpha-diversity Indices

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

 
Alpha Diversity Box Plots for All Groups
 
 
 
 
 
 
 
Alpha Diversity Box Plots for Individual Comparisons
 
Comparison 1Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumView in PDFView in SVG
Comparison 2Initial-microbiomes vs 15%_glycerol vs 20%_glycerol vs 25%_glycerol vs Health_inoculum vs Perio_inoculumView in PDFView in SVG
Comparison 3Initial-microbiomes vs Immediate_passage vs One_week_passage vs One-Month_passage vs Health_inoculum vs Perio_inoculumView in PDFView in SVG
Comparison 4Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumView in PDFView in SVG
 
 
 

Group Significance of Alpha-diversity Indices

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

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

 
 
Comparison 1.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumObserved FeaturesShannon IndexSimpson Index
Comparison 2.Initial-microbiomes vs 15%_glycerol vs 20%_glycerol vs 25%_glycerol vs Health_inoculum vs Perio_inoculumObserved FeaturesShannon IndexSimpson Index
Comparison 3.Initial-microbiomes vs Immediate_passage vs One_week_passage vs One-Month_passage vs Health_inoculum vs Perio_inoculumObserved FeaturesShannon IndexSimpson Index
Comparison 4.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumObserved FeaturesShannon IndexSimpson Index
 
 

IX. Analysis - Beta Diversity

 

NMDS and PCoA Plots

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

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

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

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

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

 
 
NMDS and PCoA Plots for All Groups
 
 
 
 
 

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

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

 
 
 
 
 
 
 
NMDS and PCoA Plots for Individual Comparisons
 
 
Comparison No.Comparison NameNMDAPCoA
Bray-CurtisCLR EuclideanBray-CurtisCLR Euclidean
Comparison 1Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 4Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

Interactive 3D PCoA Plots - Bray-Curtis Dissimilarity

 
 
 

Interactive 3D PCoA Plots - Euclidean Distance

 
 
 

Interactive 3D PCoA Plots - Correlation Coefficients

 
 
 

Group Significance of Beta-diversity Indices

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

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

 
 
Comparison 1.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumBray–CurtisCorrelationAitchison
Comparison 2.Initial-microbiomes vs 15%_glycerol vs 20%_glycerol vs 25%_glycerol vs Health_inoculum vs Perio_inoculumBray–CurtisCorrelationAitchison
Comparison 3.Initial-microbiomes vs Immediate_passage vs One_week_passage vs One-Month_passage vs Health_inoculum vs Perio_inoculumBray–CurtisCorrelationAitchison
Comparison 4.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumBray–CurtisCorrelationAitchison
 
 
 

X. Analysis - Differential Abundance

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

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

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

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


References:

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

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

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

 
 

ANCOM Differential Abundance Analysis

 
ANCOM Results for Individual Comparisons
Comparison No.Comparison Name
Comparison 1.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculum
Comparison 2.Initial-microbiomes vs 15%_glycerol vs 20%_glycerol vs 25%_glycerol vs Health_inoculum vs Perio_inoculum
Comparison 3.Initial-microbiomes vs Immediate_passage vs One_week_passage vs One-Month_passage vs Health_inoculum vs Perio_inoculum
Comparison 4.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculum
 
 

ANCOM-BC Differential Abundance Analysis

 

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

References:

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

 
 
ANCOM-BC Results for Individual Comparisons
 
Comparison No.Comparison Name
Comparison 1.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculum
Comparison 4.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculum
 
 
 

LEfSe - Linear Discriminant Analysis Effect Size

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

Reference:

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

 
Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculum
 
 
 
 
 
 
 
LEfSe Results for All Comparisons
 
Comparison No.Comparison Name
Comparison 1.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculum
Comparison 2.Initial-microbiomes vs 15%_glycerol vs 20%_glycerol vs 25%_glycerol vs Health_inoculum vs Perio_inoculum
Comparison 3.Initial-microbiomes vs Immediate_passage vs One_week_passage vs One-Month_passage vs Health_inoculum vs Perio_inoculum
Comparison 4.Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculum
 
 

XI. Analysis - Heatmap Profile

 

Species vs Sample Abundance Heatmap for All Samples

 
 
 

Heatmaps for Individual Comparisons

 
A) Two-way clustering - clustered on both columns (Samples) and rows (organism)
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
 
 
B) One-way clustering - clustered on rows (organism) only
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
 
 
C) No clustering
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Healthy vs Periodontitis vs Health_inoculum vs Periodontitis_inoculumPDFSVGPDFSVGPDFSVG
 
 

XII. Analysis - Network Association

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


References:

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

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

 

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

 

 

 

Association Network Inference by SparCC

 

 

 
 

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