FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

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

Project ID: FOMC0000_BTO_PD_R1


I. Project Summary

Project FOMC0000_BTO_PD_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

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

ASV Read Counts by Samples

#Sample IDRead Count
902,263
1013,522
946,431
796,512
857,833
1067,922
1098,145
718,234
808,446
778,566
1048,715
898,782
939,107
1109,111
729,199
959,583
969,584
829,607
789,889
9210,104
10310,649
10510,839
8811,289
10812,259
7312,376
10212,824
9113,107
8713,187
8113,913
9814,230
7615,672
7415,964
8415,987
8316,544
9717,083
7518,283
10018,946
8619,160
10724,541
9926,803
 
 
 

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%(>=45 reads)
ATotal reads475,211475,211
BTotal assigned reads457,130457,130
CAssigned reads in species with read count < MPC04,367
DAssigned reads in samples with read count < 50000
ETotal samples4040
FSamples with reads >= 5004040
GSamples with reads < 50000
HTotal assigned reads used for analysis (B-C-D)457,130452,763
IReads assigned to single species440,096436,896
JReads assigned to multiple species1,2341,125
KReads assigned to novel species15,80014,742
LTotal number of species654237
MNumber of single species472205
NNumber of multi-species229
ONumber of novel species16023
PTotal unassigned reads18,08118,081
QChimeric reads6464
RReads without BLASTN hits1313
SOthers: short, low quality, singletons, etc.18,00418,004
A=B+P=C+D+H+Q+R+S
E=F+G
B=C+D+H
H=I+J+K
L=M+N+O
P=Q+R+S
* MPC = Minimal percent (of all assigned reads) read count per species, species with read count < MPC were removed.
* Samples with reads < 500 were removed from downstream analyses.
* The assignment result from MPC=0.1% was used in the downstream analyses.
 
 
 

Read Taxonomy Assignment - ASV Species-Level Read Counts Table

This table shows the read counts for each sample (columns) and each species identified based on the ASV sequences. The downstream analyses were based on this table.
SPIDTaxonomy1001011021031041051061071081091107172737475767778798081828384858687888990919293949596979899
SP1Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Peptoniphilaceae_[G-1];sp._oral_taxon_1130100000000000000000000010033312014130000000
SP10Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_91400453448950000000000511890000040000704700450001083442182
SP101Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_058180000131100117030013213800002000030114019125500011
SP103Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;rectus0022131300000001100100000000051155832181101011
SP104Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_2791002300112051181182431493355771352213243415274117913923320360148
SP105Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_06114025000131035501000000000000000000010001899955000188
SP107Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;rimae300000001011401810222312004295213206341146001410013
SP108Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;diversum25250000000000011100000211100013176273175253346096130010397
SP109Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;canifelinum3001303500001029000083001773000112101030133
SP11Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus98493219435731173532044031072211138557132439619511489720402622091638740785612038143106695654100508258204
SP110Bacteria;Actinobacteria;Actinobacteria;Corynebacteriales;Corynebacteriaceae;Corynebacterium;matruchotii100000001004200001010000001001731993690010001
SP111Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_32640991407400010015701114202113210100511710043981581701
SP112Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._HOT_20440401026000000304101000322306143319191500100013
SP113Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;sanguinis194520000000000010001020001100001001907964000172
SP114Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;gracilis912170016111090180152000542211638795010112011
SP115Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sputigena00000311100000000000100000000651296750000002
SP116Bacteria;Proteobacteria;Gammaproteobacteria;Xanthomonadales;Xanthomonadaceae;NA;geniculata001270020427100000000000000001000000001065560
SP117Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;pneumosintes10643372440061333621505022760810143210864836101251810010407
SP118Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_86446530021000021001102002130000110001550947
SP119Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis341069683309610802783293551861251815122488061307151136714183155138393118913359
SP12Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._vincentii17812323381081316102982101106610248107922814574454444101239498274540178081287
SP122Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis001422003022012022130131500200004145532022420
SP123Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Bacillus;anthracis3923057747620411812000238000191575000001141682292225
SP124Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flava0280000000000000000000000000000044769100004
SP125Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_G55000000000002000001000002220003045140000000
SP126Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;artemidis80000082800000000000310000000007244062000021
SP128Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._Oral_Taxon_H2715200002305015013015044002124351813341019521619100023
SP129Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-1];sp._oral_taxon_34610000201701030000000000100000521445450000000
SP13Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._nucleatum729204415613800380096274208384596026916303814619114115652434719768211561874276065611541468138
SP131Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_360137350100050032115031230457022532633110237314514611020104101776197000185
SP132Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];sp._oral_taxon_2745375000200800512610750261905428211014510752621117611915084000451
SP134Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;forsythia7600001001611312000101502013111243619191341714899021101062
SP136Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_1341000002020000000000010000000027449370100000
SP137Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;medium00000000200000003001001000111041913103780000000
SP138Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_13710301010020100000350000070001210126290020003
SP14Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;morbillorum27722235199721442960040204221070642649129642295102118670308355281157129401975956300
SP140Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;longum001901500010206200713789010004061038262630270000000
SP141Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;socranskii3100011031001000501210012091234462412010005
SP143Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-1];[Eubacterium]_infirmum115900000000001600009150002701637933153518130761467400028
SP144Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_38063323416010183911159313031061191420041731051141723320117584
SP145Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_913580000000000000013032865005104010000320000000
SP146Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus263421241514241400006335000010710815311114111936513528623032
SP148Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;micans001000000020000038800410980005919465214160010000
SP149Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-2];sp._oral_taxon_0850000000014110070174500000364116213151500220000000
SP15Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra869276153012791482438152268193161143058432862479163220192566292699313314218408362981367906101222051241166589476242233196020641602
SP150Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-6];[Eubacterium]_nodatum2000020162010010000011000000010237159920300000
SP151Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_21900000000000059000020000000000010000000000
SP152Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_47291350100000010203601100401120000210000002
SP153Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_2231000000000021100000002010010011412311000000
SP154Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_145000000004000000000000000000001029280000000
SP155Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;constellatus20102100013124221212314912013493212011526616312200126161
SP156Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F85191011000000000000020000111002001202000127
SP157Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_412223935110001000000100000100001010014000518260
SP158Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-9];[Eubacterium]_brachy00000515031201010000001060212241771570000001
SP159Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;fusca000000000000000000000000000000093670000000
SP16Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroidaceae_[G-1];sp._oral_taxon_2720080100000000010200001404041115520130000001
SP160Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_42336110117551337077442610165103002500054412441452516
SP161Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_1362320010000000090009610001540007122971501145
SP162Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_912000000000000000060000030001200044300000000
SP163Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;salivae00000000500005071008000700051230000000000
SP165Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae04000126600023010414500040014264110620100000
SP167Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;sp._oral_taxon_928000004060009726311000792500002000000000000000
SP17Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._animalis1577039261222414621109241706710191114003114221197816458299129549510439585001521
SP170Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;granulosa2180000000001121000124000042100039400281000038
SP172Bacteria;Proteobacteria;Deltaproteobacteria;Desulfobacterales;Desulfobulbaceae;Desulfobulbus;sp._oral_taxon_04100000200500110000010010503115711519106960000000
SP173Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;odontolyticus004100001102510191268220028522000049372110200007030
SP175Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;saccharolytica10000000100101019412000400022120160010000
SP176Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oulorum1346728100070702460010400061191661071914534833221015011655
SP177Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;sp._oral_taxon_18096101000210119102115311002640104022150001009
SP18Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;endodontalis213212010240102290012603542782201061805599825481274392996164696051052042091
SP182Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Atopobium;parvulum313171400050211012003715140010211002012821211217900040
SP183Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;sp._oral_taxon_044000000000000000000000000000004091471010000000
SP184Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sanguinis300001111200512920044216011370002691584622119
SP187Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_28000000000310000019100015001400735411370000100
SP19Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Anaeroglobus;geminatus18770451334768342304000021911181032113181490021253802672681917913113823495315141145605
SP194Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Johnsonella;sp._oral_taxon_1660000000000000000000000000000022225110000000
SP195Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_E831000103180000001000001000010000115103150007
SP197Bacteria;SR1;SR1_[C-1];SR1_[O-1];SR1_[F-1];SR1_[G-1];sp._oral_taxon_3450000000000000001113000001500063101715132100000015
SP198Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;periodonticum3262020112001014031014200117323144520312137100026
SP2Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_511000000000000096200000108000187594900081241271000008
SP20Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis60951088784513101199321231502198119661075110706563413176115298016665258118111138212336232344282283328350
SP200Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;lecithinolyticum000000000000000000000011000001941680000000
SP201Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_52600000000000000000000000000107212134230000000
SP202Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;intermedius200000001013710000300304000001661451101000002
SP204Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae00000801614000007000001000512200095101010000
SP205Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;wadei000000000000001000000000000004816116910000000
SP206Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Kingella;oralis00000000000000000000000000000305450000100
SP209Bacteria;Proteobacteria;Gammaproteobacteria;Xanthomonadales;Xanthomonadaceae;Stenotrophomonas;maltophilia001334030581200000000000000000000001000988670
SP21Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;parvula_group27713004422473631124169119717833231089160013231007810146313211377105168610091247788788915487291158182115181368450333311178654989063098
SP213Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-1];TM7_[G-3];sp._oral_taxon_3511300000001002001100012366000958000214200500085
SP216Bacteria;Proteobacteria;Alphabacteria;Rhizobiales;Methylobacteriaceae;Methylobacterium;sp._Oral_Taxon_B84000450006434000000000020000001000000014960
SP217Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;cardiffensis600024001200014000230100674010240501014007
SP218Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Comamonadaceae;Delftia;acidovorans0010040000330001014000361000000000000001810
SP219Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._oral_taxon_2783000000000012333000421000012000314157101600050
SP22Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;denticola001000003020020010100105421004791381310010009
SP220Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;sp._Oral_Taxon_G43002190000010000240000021000621006130001120
SP222Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;sp._oral_taxon_089000000002000000040001020006220024220000000
SP223Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_3591000200060001100000021054410029973620010002
SP227Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;sp._oral_taxon_011201610101020101010000516100000000000017400
SP228Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sp._oral_taxon_07810600000601005027021100210108423211100010002
SP229Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F-1];Clostridiales_[F-1][G-1];sp._oral_taxon_093000000000000000000000000000009551470000000
SP235Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];sp._oral_taxon_0810000000000000900000700049550003015160000000
SP236Bacteria;Firmicutes;Clostridia;Clostridiales;Peptococcaceae;Peptococcus;sp._oral_taxon_167110000000000000031012000000101100860050007
SP238Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp._oral_taxon_32200031000005050112131024320031151130016600
SP239Bacteria;Firmicutes;Mollicutes;Mycoplasmatales;Mycoplasmataceae;Mycoplasma;salivarium000001003000001995000821602030201590020001
SP24Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-8];sp._oral_taxon_5005903300002011010551420016344331828940500027
SP240Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcus;stomatis00000401010000000000000000100961839250000000
SP241Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_89210107101010000106611000000072171201141405
SP244Bacteria;Saccharibacteria_(TM7);TM7_[C-1];TM7_[O-1];TM7_[F-2];TM7_[G-5];sp._oral_taxon_3560000000200000000000000000000030822170000000
SP25Bacteria;Firmicutes;Mollicutes;Mycoplasmatales;Mycoplasmataceae;Mycoplasma;faucium0000000040000001001000000000027156260000000
SP254Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;israelii0000000000011000000000000000011030100011001
SP257Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonella;atypica000000121007481122341340001030000100000001
SP258Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacteriales;Enterobacteriaceae;Enterobacter;hormaechei00017100000000000000000000000000000001115960
SP259Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Veillonellaceae_[G-1];sp._oral_taxon_150000000013000010000100000220001211770000005
SP26Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];[Eubacterium]_yurii_subsp._yurii_&_margaretiae99365100220293813021124797014225015132616663325527620418201461185
SP263Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_361000000000000000000000000000004127230000000
SP265Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;georgiae40010000000202001100000000110407900052130
SP266Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._Oral_Taxon_F92800410000000050000670001015916161211102260309
SP267Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3760000000000000100000810002400000501240000000
SP268Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Burkholderia;cepacia002400041221600000000001000000000860002750
SP27Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-5];[Eubacterium]_saphenum0000000100000010000000000000024862550000001
SP275Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oralis1338000000012050016340005820007013870570022
SP28Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnospiraceae_[G-3];sp._oral_taxon_1004608010833003271651522235743136454651219216813953262361380021200299
SP282Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_33800000071010010100000000000000010400000000
SP283Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;multiformis000000000000000000000000000002035200000000
SP284Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Erysipelotrichaceae_[G-1];sp._oral_taxon_904003737900000000100001000000000010000000100
SP286Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3040000000000000000000000000000000147900000000
SP29Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_3702315111217104812510130029041154000003515325573771521465235390404202635894
SP292Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_503000100000002000510000003001001116200000000
SP296Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_G675337201000200100326101124021121711202023214
SP298Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_23400100000000000100000000000000201329330000000
SP3Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._polymorphum54736530122954295120175625123051430229701506165614039920267387599848610707915761927010984597542691720971101
SP30Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp._oral_taxon_215217010003001248615380026121211276000203191132800030
SP31Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;heparinolyticus109115051200010000005749800002000036014012410125000765320313580
SP310Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_238100000000000000000000100000001029180000000
SP313Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_253000000000000000000000000000000023290000000
SP32Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;flueggei3446143130200000001118200181073114212014166211017242
SP320Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-4];sp._oral_taxon_36900000200400006000000000376000511345370100000
SP325Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Actinomyces;meyeri1000000020001019000001770000000006110000000
SP33Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;buccae4275813000000560190500101956017719400051931234572096019
SP34Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;infelix453643518001102003600530341400181425141013518922583020170212
SP351Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;Bradyrhizobiaceae;Afipia;broomeae00035010142340001200000000001947000000402550
SP358Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flavescens|subflava400000000000430002010000000002910000030003
SP36Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_47300000000000464159113000497565000252280000202000000000
SP37Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei21045118651788113233922137339291621091547515173451229271431041231021766522610081222267376338
SP38Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_308187001010000159600000000008919892020200231412782000828
SP381Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._Oral_Taxon_F870028231000000003001503100452107130112210000020
SP39Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;rava240000000007305770208163434350002431510150173020100009
SP4Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens355105267306156593465997064784355734224551654150355411854604422051371931363331011111972183233533725283128211391904925502
SP40Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;tannerae1478000000020057022700111055634619600143161203119723849139171067810120001700
SP41Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;dentisani185642494783961315811272904135731678731540501428975384278134982247934221029298175285997819706496718548021441404223
SP42Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_06410831661714089417122816133394710413111820007319145621091110
SP43Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pallens000000001000000020010009300010000230000000
SP44Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;saburreum86382101801248120182361304128864033111613747292189811267163631062230266
SP45Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;intermedia2017856120010100025011025482598072212194024241772979160188454330002043717
SP47Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens67817291831719142848155428541653676323239278110011151414382896102018302040123773
SP48Bacteria;Proteobacteria;Alphabacteria;Rhizobiales;Methylobacteriaceae;Methylobacterium;rhodesianum0100010023120000000000010000300000000004600
SP49Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii81451211101367582122122552946976133671151412146992473722020253428
SP5Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis202900003894501136500071600103100002210000012140118103000218
SP50Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;pleuritidis0000000000100500000000020000040447220000000
SP51Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hongkongensis0000000000006000000000000000024239220000002
SP52Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae1639121029218560012022709568363400046321600025743402361022141
SP54Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_056510009430000297511000131490009850002640077800016
SP55Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_C042100000000022231500011160006410000000231300010
SP56Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_23700000000200000001001020000100791496710000100
SP58Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;noxia100000001000010020104000121000718595710500021
SP59Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_50500000000100000000000000000000001261110000000
SP6Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_1498781000101000001031230067841211753575900248
SP60Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;veroralis000000000000000000000000001007119010000000
SP61Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;maculosa25751791001502301660022681200026335424245152241019337969000360
SP62Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_443000000000000000030000016000303018439110000000
SP63Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;dianae26382060000000000012662000451300104282110014329
SP64Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Mogibacterium;timidum1000040020200020001001091320131731311020005
SP65Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._oral_taxon_3176263100005525576152245250817611839461054186162482621311315301401249
SP68Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sinus117400001005020175521100275312172563000111458839
SP69Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Filifactor;alocis00000100000000101000000400000231344282890010000
SP70Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_80820000020010002008001006140711381711120000007
SP71Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._Oral_Taxon_H2111921000451200013135690000167843800082594900020900152546100190
SP72Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp._oral_taxon_110006830008431120004613000043627020184200563000074140
SP73Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;vincentii20000000000000200102100048621050211310200051
SP74Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_3362647020298500014572900021101600071250001200018332901071
SP75Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Dialister;invisus2702901000071060278114025126106440127586933269484263156979001001092
SP76Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis10110471000011601221410250120000006410010104
SP77Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;denticola81000012102001030040510001742951121561217028606100000034
SP78Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-4];sp._oral_taxon_103000000005000001000000000200000149390000000
SP79Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_231500000000000000000200004111002742090000003
SP8Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi108881221500050024016701929237109920010153716733912110774110583247671
SP82Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;sp._oral_taxon_36200000000301000000000010000000402051530001000
SP83Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_335231530014200004362200018143200567000610114181703140
SP84Bacteria;Synergistetes;Synergistia;Synergistales;Synergistaceae;Fretibacterium;fastidiosum1602000151401004001020011911242649151227726401051
SP85Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_0704321123732219492187323239440712267431571711752002632151002576852221214113539583
SP86Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_286530400150105117221301220136861099491526330115000151
SP87Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2300000000000010100000000000000015748320000000
SP88Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;tigurinus0011258155000991411011513731073041093337170101000431511330001791192620
SP89Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];sp._oral_taxon_365200000002000000000013300101424371034220000000
SP9Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus2169325400078373895412961712033301763851011205651611021811620107424811
SP90Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp._oral_taxon_324611526380000001620005122003410005310411890804310
SP92Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;parasanguinis_II7091113581215670201633130001661041101012010116453151339
SP93Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_2560000000000000000000000000000033797580000000
SP94Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris050000000010114001030021167111124041141140020001
SP95Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;sp._oral_taxon_45100000000000000000000000000000541516120000000
SP96Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva000003010000110001000000000003812050000000
SP97Bacteria;Spirochaetes;Spirochaetes;Spirochaetales;Spirochaetaceae;Treponema;maltophilum8200000000010003610100002030140324540006
SP98Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;naviforme2000000801000002200008700012104000832700631700047
SP99Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;elongata14560000000001330160003131240002229160004011005756000105
SPN106Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;rectus_nov_97.211%1800010001000010500000000000103110561891007
SPN117Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_511_nov_97.509%00000000000000003000000000247100016240000000
SPN121Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;sp._oral_taxon_011_nov_96.863%970000100000310002110000000002000361210006
SPN122Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp._oral_taxon_808_nov_96.887%000000000000000090000060007300029240000000
SPN123Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis_nov_97.153%91000000000002000021000912636010030903010
SPN124Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp._oral_taxon_370_nov_96.797%117326775354364000048021790010011241360104457373821894502271393042
SPN125Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_481_nov_97.656%1510000000000000000000001010000001131000017
SPN126Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._oral_taxon_056_nov_97.143%001100004000101426000410000001000000003001
SPN127Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;sp._oral_taxon_239_nov_96.797%000000000000000000000000000000026200000000
SPN133Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;heparinolyticus_nov_95.669%303600001000030560006233100020716182000000024577245000309
SPN144Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp._oral_taxon_473_nov_95.769%009482160000000000115250001010000152200100002659500
SPN17Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-5];sp._oral_taxon_511_nov_95.669%0000000000000100009810004112630000410000000019
SPN28Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;infantis_nov_97.701%430008724600000000000000000000000001110004
SPN40Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;sp._oral_taxon_937_nov_97.173%002734250000000000000000000003220000000110550
SPN41Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;marshii_nov_97.318%00100000000000011531000001200004500210000000
SPN5Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;dianae_nov_97.509%214637100010000700270610062245251210008400001053
SPN52Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens_nov_97.610%13200041780000617110043200010000000003030016
SPN71Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis_nov_97.665%00020000101000271510002143300020100000003100
SPN77Bacteria;Firmicutes;Firmicutes_[C];Firmicutes_[O];Firmicutes_[F];Firmicutes_[G];sp._Oral_Taxon_A55_nov_77.241%11000000000030240002291300018910000000001000064
SPN83Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra_nov_91.096%10043111030440325813100653202400003338095
SPN94Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis_nov_97.656%0000000000000019560002041500000100200000000
SPP1Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;multispecies_spp1_30000000000020150000110001010000000153700014
SPP12Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;multispecies_spp12_20000000000000000000000000000015711120000000
SPP14Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;multispecies_spp14_20001000030000000000001000000019349410000000
SPP16Bacteria;Proteobacteria;Alphaproteobacteria;Rhizobiales;multifamily;multigenus;multispecies_spp16_2000010003420000000000140000400000000011700
SPP19Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_spp19_2002120600000000140080421002103111501210004702
SPP20Bacteria;Firmicutes;Negativicutes;Selenomonadales;Veillonellaceae;Selenomonas;multispecies_spp20_30019120000000000002010000000010001050000000
SPP5Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp5_28110031361110006702021013300201522812177462491947601019
SPP7Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Spirochaetaceae;Treponema;multispecies_spp7_2000000000000000000000000000003515000000000
SPP8Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;multispecies_spp8_250531000000000103601000701000000001210002
SPPN5Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn5_2_nov_96.809%0015641402112400091000105715300000242124891641540026220005072626030
SPPN9Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_sppn9_2_nov_96.797%00000030000000000000000333133629100000004
 
 
Download OTU Tables at Different Taxonomy Levels
PhylumCount*: Relative**: CLR***:
ClassCount*: Relative**: CLR***:
OrderCount*: Relative**: CLR***:
FamilyCount*: Relative**: CLR***:
GenusCount*: Relative**: CLR***:
SpeciesCount*: Relative**: CLR***:
* Read count
** Relative abundance (count/total sample count)
*** Centered log ratio transformed abundance
;
 
The species listed in the table has full taxonomy and a dynamically assigned species ID specific to this report. When some reads match with the reference sequences of more than one species equally (i.e., same percent identiy and alignmnet coverage), they can't be assigned to a particular species. Instead, they are assigned to multiple species with the species notaton "s__multispecies_spp2_2". In this notation, spp2 is the dynamic ID assigned to these reads that hit multiple sequences and the "_2" at the end of the notation means there are two species in the spp2.

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

Taxonomy Bar Plots for All Samples

 
 

Taxonomy Bar Plots for Individual Comparison Groups

 
 
Comparison No.Comparison NameFamiliesGeneraSpecies
Comparison 2No_loading vs plaque_inoculum vs LoadingPDFSVGPDFSVGPDFSVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumPDFSVGPDFSVGPDFSVG
Comparison 4Run1 vs Run2PDFSVGPDFSVGPDFSVG
 
 

VIII. Analysis - Alpha Diversity

 

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


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

 

Alpha Diversity Analysis by Rarefaction

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


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

 
 
 

Boxplot of Alpha-diversity Indices

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

 
Alpha Diversity Box Plots for All Groups
 
 
 
 
 
 
 
Alpha Diversity Box Plots for Individual Comparisons
 
Comparison 1Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA LoadingView in PDFView in SVG
Comparison 2No_loading vs plaque_inoculum vs LoadingView in PDFView in SVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumView in PDFView in SVG
Comparison 4Run1 vs Run2View in PDFView in SVG
 
 
 

Group Significance of Alpha-diversity Indices

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

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

 
 
Comparison 1.Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA LoadingObserved FeaturesShannon IndexSimpson Index
Comparison 2.No_loading vs plaque_inoculum vs LoadingObserved FeaturesShannon IndexSimpson Index
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculumObserved FeaturesShannon IndexSimpson Index
Comparison 4.Run1 vs Run2Observed FeaturesShannon IndexSimpson Index
 
 

IX. Analysis - Beta Diversity

 

NMDS and PCoA Plots

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

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

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

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

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

 
 
NMDS and PCoA Plots for All Groups
 
 
 
 
 

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

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

 
 
 
 
 
 
 
NMDS and PCoA Plots for Individual Comparisons
 
 
Comparison No.Comparison NameNMDAPCoA
Bray-CurtisCLR EuclideanBray-CurtisCLR Euclidean
Comparison 2No_loading vs plaque_inoculum vs LoadingPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 3Commercial vs BTO vs HA vs plaque_inoculumPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 4Run1 vs Run2PDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

Interactive 3D PCoA Plots - Bray-Curtis Dissimilarity

 
 
 

Interactive 3D PCoA Plots - Euclidean Distance

 
 
 

Interactive 3D PCoA Plots - Correlation Coefficients

 
 
 

Group Significance of Beta-diversity Indices

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

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

 
 
Comparison 1.Run1 Commercial No_loading vs Run2 Commercial No_loading vs Run1 BTO No_loading vs Run2 BTO No_loading vs Run1 HA No_loading vs Run2 HA No_loading vs Run1 plaque_inoculum plaque_inoculum vs Run2 plaque_inoculum plaque_inoculum vs Run1 Commercial Loading vs Run2 Commercial Loading vs Run1 BTO Loading vs Run2 BTO Loading vs Run1 HA Loading vs Run2 HA LoadingBray–CurtisCorrelationAitchison
Comparison 2.No_loading vs plaque_inoculum vs LoadingBray–CurtisCorrelationAitchison
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculumBray–CurtisCorrelationAitchison
Comparison 4.Run1 vs Run2Bray–CurtisCorrelationAitchison
 
 
 

X. Analysis - Differential Abundance

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

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

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

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


References:

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

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

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

 
 

ANCOM Differential Abundance Analysis

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

ANCOM-BC Differential Abundance Analysis

 

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

References:

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

 
 
ANCOM-BC Results for Individual Comparisons
 
Comparison No.Comparison Name
Comparison 2.No_loading vs plaque_inoculum vs Loading
Comparison 3.Commercial vs BTO vs HA vs plaque_inoculum
Comparison 4.Run1 vs Run2
 
 
 

LEfSe - Linear Discriminant Analysis Effect Size

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

Reference:

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

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

XI. Analysis - Heatmap Profile

 

Species vs Sample Abundance Heatmap for All Samples

 
 
 

Heatmaps for Individual Comparisons

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

XII. Analysis - Network Association

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


References:

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

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

 

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

 

 

 

Association Network Inference by SparCC

 

 

 
 

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