FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

The Forsyth Institute, Cambridge, MA, USA
September 19, 2023

Project ID: 20230815_unoise


I. Project Summary

Project 20230815_unoise 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

#SampleIDSampleNameMethodHLSourceGroup
F12829-S01MA1MasterpureTSUPASUPA
F12829-S02MA2MasterpureFSUPASUPA
F12829-S03MA3MasterpureFSUPASUPA
F12829-S04MB1MasterpureTSUPBSUPB
F12829-S05MB2MasterpureFSUPBSUPB
F12829-S06MB3MasterpureFSUPBSUPB
F12829-S07MOM1MasterpureTOMOM
F12829-S08MOM2MasterpureFOMOM
F12829-S09MOM3MasterpureFOMOM
F12829-S10MZM1MasterpureTZMZM
F12829-S11MZM2MasterpureFZMZM
F12829-S12MZM3MasterpureFZMZM
F12829-S13PA1PowerSoilTSUPASUPA
F12829-S14PA2PowerSoilFSUPASUPA
F12829-S15PA3PowerSoilFSUPASUPA
F12829-S16PB1PowerSoilTSUPBSUPB
F12829-S17PB2PowerSoilFSUPBSUPB
F12829-S18PB3PowerSoilFSUPBSUPB
F12829-S19POM1PowerSoilTOMOM
F12829-S20POM2PowerSoilFOMOM
F12829-S21POM3PowerSoilFOMOM
F12829-S22PZM1PowerSoilTZMZM
F12829-S23PZM2PowerSoilFZMZM
F12829-S24PZM3PowerSoilFZMZM
F12829-S25ZA1ZymoTSUPASUPA
F12829-S26ZA2ZymoFSUPASUPA
F12829-S27ZA3ZymoFSUPASUPA
F12829-S28ZB1ZymoTSUPBSUPB
F12829-S29ZB2ZymoFSUPBSUPB
F12829-S30ZB3ZymoFSUPBSUPB
F12829-S31ZOM1ZymoTOMOM
F12829-S32ZOM2ZymoFOMOM
F12829-S33ZOM3ZymoFOMOM
F12829-S34ZZM1ZymoTZMZM
F12829-S35ZZM2ZymoFZMZM
F12829-S36ZZM3ZymoFZMZM
 
 

ASV Read Counts by Samples

#Sample IDRead Count
F12829-S06107,699
F12829-S35112,944
F12829-S27114,950
F12829-S29119,709
F12829-S36122,999
F12829-S28124,012
F12829-S23124,543
F12829-S02125,060
F12829-S03126,652
F12829-S25127,491
F12829-S01130,802
F12829-S05131,169
F12829-S26131,545
F12829-S04132,771
F12829-S18135,619
F12829-S15136,937
F12829-S34136,972
F12829-S16140,926
F12829-S14141,805
F12829-S17146,991
F12829-S12147,107
F12829-S11157,020
F12829-S10160,945
F12829-S13165,291
F12829-S24167,722
F12829-S30167,975
F12829-S22170,008
F12829-S19175,609
F12829-S31190,962
F12829-S09202,034
F12829-S07202,613
F12829-S08230,740
F12829-S21237,919
F12829-S33244,899
F12829-S20246,681
F12829-S32278,190
 
 
 

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%(>=571 reads)
ATotal reads5,717,3115,717,311
BTotal assigned reads5,714,7545,714,754
CAssigned reads in species with read count < MPC05,197
DAssigned reads in samples with read count < 50000
ETotal samples3636
FSamples with reads >= 5003636
GSamples with reads < 50000
HTotal assigned reads used for analysis (B-C-D)5,714,7545,709,557
IReads assigned to single species4,771,3834,768,560
JReads assigned to multiple species372,621371,720
KReads assigned to novel species570,750569,277
LTotal number of species216200
MNumber of single species180170
NNumber of multi-species64
ONumber of novel species3026
PTotal unassigned reads2,5572,557
QChimeric reads00
RReads without BLASTN hits00
SOthers: short, low quality, singletons, etc.2,5572,557
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.
SPIDTaxonomyF12829-S01F12829-S02F12829-S03F12829-S04F12829-S05F12829-S06F12829-S07F12829-S08F12829-S09F12829-S10F12829-S11F12829-S12F12829-S13F12829-S14F12829-S15F12829-S16F12829-S17F12829-S18F12829-S19F12829-S20F12829-S21F12829-S22F12829-S23F12829-S24F12829-S25F12829-S26F12829-S27F12829-S28F12829-S29F12829-S30F12829-S31F12829-S32F12829-S33F12829-S34F12829-S35F12829-S36
SP1Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT212246229234435047933803000000293340268396340663004000000169191153235121843420000000
SP10Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;leadbetteri732670734652956194573000000945754776576556364490000000406566374335527273823000000
SP100Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mutans384446000017826000515495516011012616700059156355400006552006000
SP101Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Lancefieldella;rimae3754556110869000000352635504654000000532941473579000010
SP102Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens169167180235160162000000217186192228187167000000118126105148120172000000
SP103Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sp. HMT078239211277141060000002812562271510120000002382592105511000000
SP104Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT175120811331251122129770640000160814991340320318415000000159215101286405432637000000
SP105Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT171223222248988972000000430415389222240297000000466412396337322452000000
SP106Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;elongata439493476000000000748668466000000000251351269000000000
SP107Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus679628695475750000000915580590474438000000397488441121825000000
SP108Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Lancefieldella;parvula8157661491831330000003753235279900000003531245976134100000
SP109Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;massiliensis4734595043970000001148102399046515800000011511105998443865000000
SP11Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-1];bacterium HMT0751791602048469886840000002031371456596576380000009398104454412534000000
SP110Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT170643973344275299000000948676921104411460000001048495125912681843000000
SP113Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;cinerea110695310570000000001025858835000000000520586483000000000
SP114Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;loescheii696678716201232155000000815584653186221149000000350411288118126187000000
SP115Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;saburreum5515506773735380360000732707670586962000000564631507333549000000
SP116Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT2156056106369795760390000601543529446847000000359477368142755000000
SP117Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT33820113716800000000018116815300000000013011590000000000
SP118Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-6];bacterium HMT870294308278727664000000251238227648653000000189182138563574000000
SP119Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;salivae307280311108150000003753083021511600000013915317951013000000
SP12Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;melaninogenica166114021585327331812295000000140712441306226622542008000000762988711125813071736000000
SP120Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp. HMT286130137140000000000241128137000000000938682000000000
SP121Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;elegans894834863389394325000000622650632211276257000000479561422161198246000000
SP122Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT8642872342336550700003152452548590000001351901461213000000
SP123Bacteria;Proteobacteria;Gammaproteobacteria;Pseudomonadales;Pseudomonadaceae;Pseudomonas;aeruginosa00000009665113144138331292300000000069474757903100000001104437434194088
SP124Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT414152102133000000000560421485000000000388389402000000000
SP125Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Propionibacteriaceae;Cutibacterium;acnes2011110141407229010000191889037200101001302040000
SP126Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp. HMT0641589174418972452500000002585263325017664800000002863310127686978144000000
SP127Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];bacterium HMT27450676900000000016462680000000004065106000000000
SP128Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Escherichia;coli000000036819161908167500000000011417631331000000000652531712
SP129Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flavescens13711010711770070001268797191430000008957705613042000
SP13Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;intermedius222234263298417351000000471500462591597746000000573611516637773932000000
SP130Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Lautropia;mirabilis151132107441252243633040000905810728853272311200000010013091396742056198000000
SP131Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis_subsp._dentisani_clade_0589974902540300001311341112720000009112893587000000
SP132Bacteria;Actinobacteria;Actinobacteria;Bifidobacteriales;Bifidobacteriaceae;Scardovia;wiggsiae000114185100000000000131124156000000000157166231000000
SP133Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;haemolysans4623705091411161320000009151012957245264280000000882976852241229346000000
SP134Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;odontolytica171153153496349593892000000241240233786090329828000000280299221121821290718443000000
SP135Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus107105112000000000360389349000000000366460442000000000
SP136Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;intermedia775845104627923616400000084660660920618015000000049046828010495142000000
SP137Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;sicca281228259297217252244000000280212212418142143163000000116168113238022732859000000
SP138Bacteria;Firmicutes;Bacilli;Lactobacillales;Enterococcaceae;Enterococcus;faecalis00000001980319130843210100000100164681236815310000000000101561031610957
SP139Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;endodontalis475453412000000000524361449000000000262271211000000000
SP14Bacteria;Firmicutes;Bacilli;Bacillales;Staphylococcaceae;Staphylococcus;warneri00000010237477300000027021209294200000200331222384020
SP140Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT3485365885887512090000000449402399728259000000263376287283290000000
SP141Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._vincentii270283297945000000320257261234000000224181181118000000
SP142Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp. HMT3081006996374283271000000816279315302247000000515539174167239000000
SP143Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp. HMT51337840735538160200005553163210106000000213254222228000000
SP144Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;ochracea187163188103030000191165194100000000107153105003000000
SP145Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;trevisanii13513912300000000014411110200000000010011786000000000
SP146Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;sp. HMT87710199107000000000286203268000000000333253293000000000
SP147Bacteria;Proteobacteria;Alphaproteobacteria;Sphingomonadales;Erythrobacteraceae;Pelagerythrobacter;marensis000000114763000000000079142000000000017558000
SP148Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae1511261512782371870000001691341412482391780000007512592166144186000000
SP149Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp. HMT322269258264429445266000000271217210441513337000000116157146270221314000000
SP15Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sanguinis78074184140394133366700000015231537145891061022910792000000170018471639125771214915988000000
SP150Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT902124121103000000000144105101000000000757957000000000
SP151Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra302238350000000000344316314000000000386341263000000000
SP152Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT4729980834347260000001197872485231000000305555183244000000
SP153Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Shigella;flexneri0000000101171491330000000003246106000000000261840
SP154Bacteria;Proteobacteria;Alphaproteobacteria;Hyphomicrobiales;Phyllobacteriaceae;Phyllobacterium;myrsinacearum0000000000000000000000000000000631382000
SP155Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae840804817153878400000010038449031391311170000005826534918363120000000
SP156Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Citrobacter;koseri000000000137151127000000000313368000000000362033
SP157Bacteria;Proteobacteria;Gammaproteobacteria;Cardiobacteriales;Cardiobacteriaceae;Cardiobacterium;valvarum1922321298610000000039575598123890000009219557380000000
SP158Bacteria;Proteobacteria;Gammaproteobacteria;Oceanospirillales;Halomonadaceae;Halomonas;alkaliantarctica00000001875900000000013243190000000000442423000
SP159Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hofstadii198200227000000000240211216000000000134112130000000000
SP16Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT221168815381659000000000197217831935000000000119315771369000000000
SP160Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-3];bacterium HMT100191157165239176171000000203161129270182202000000105126108134112183000000
SP161Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Peptidiphaga;gingivicola82861300000434000231241217000000000265295189000000000
SP162Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Ralstonia;pickettii00000000320000000000000000000001664430000
SP163Bacteria;Proteobacteria;Gammaproteobacteria;Oceanospirillales;Halomonadaceae;Halomonas;titanicae000000013016000000000012472650000000000438204000
SP164Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;constellatus2221225153430000001108776170218231000000949074204165299000000
SP168Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;denticola1188411816515783011160008881822001151000000007267855761113000000
SP169Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;histicola736656335241000000787373204027000000446637121519000000
SP17Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Salmonella;enterica00020001894838554387123445400000000020413146382679510000100413736963412697
SP172Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT94294921070000000001167299000000000436358000000000
SP174Bacteria;Firmicutes;Negativicutes;Veillonellales;Veillonellaceae;Dialister;invisus30527026913793104000000378269303173126124000000213228186596368000000
SP176Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;longum407390448353440000010494349346323235000000356428349312648000001
SP177Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;serpentiformis3057391008489000000343025839882000000282523504270000000
SP178Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;gingivalis412927235119170000000272725191217213000000133118122126194000000
SP18Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;gerencseriae17416920832263400000038641536892113850000004503973788493138000000
SP180Bacteria;Proteobacteria;Gammaproteobacteria;Cardiobacteriales;Cardiobacteriaceae;Cardiobacterium;hominis9295102311412000000130739117171500000043595691118000000
SP185Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;orale123113105938000000136101102884000000729284545000000
SP187Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Oxalobacteraceae;Herbaspirillum;huttiense0000000002000000000000000000000212632000
SP188Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT300305280266130103720000003402352741098073000000186167189344375000000
SP189Bacteria;Absconditabacteria_(SR1);Absconditabacteria_(SR1)_[C-1];Absconditabacteria_(SR1)_[O-1];Absconditabacteria_(SR1)_[F-1];Absconditabacteria_(SR1)_[G-1];bacterium HMT87410598102000000000102104112000000000726363000000000
SP19Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;buccalis9237637926486134960000001148874788678649688000000540641566539469678000000
SP2Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;parvula78907277734521788233661947706716000568154505458137851661013600016201003531444036028806924912343000000
SP20Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Kingella;oralis76069666818018412300000089368572818921215100000045945039510694183000000
SP21Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-9];[Eubacterium]_brachy6143452182400000010415788424841000000161109102334071000000
SP22Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;haemolyticus4073173661910110000004333473651216100000002132681953612000000
SP23Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Limosilactobacillus;fermentum00010002660403742214823200200000163641240112680000025000273492033419806
SP24Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis220149613157437732564143000046845309463510239641143100000563558495445105011391534000000
SP25Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;gracilis129411741246369132236000000158311561215350318262000000760936704167171207000000
SP26Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis1102717246144097105894069520179000017219184131722689939674100108000001948620762188548664916912164000000
SP27Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;sp. HMT178294347310108403000008908787411729310000001063929965201237000000
SP28Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;nigrescens83661876213017727540000007515225921016761833000000377418311604482665000000
SP29Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sputigena36272118301082132800000035302020512072165600000020151111939941439000000
SP3Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum6447581860865749503343961226361798000725553565708614458304273614384186000373041153515334630684395233673426000
SP30Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Bacillus;halotolerans0100100216754547465435751915200000000322362437736928000000100249461993223358
SP31Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Allobacillus;halotolerans93401569001368318246032830034200017220079358942137411150038230023830011938427012932182600
SP32Bacteria;Firmicutes;Bacilli;Bacillales;Listeriaceae;Listeria;monocytogenes00000001250455941484518100000000222551683815866000000000191731844918223
SP33Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Shigella;sonnei00000001062201641316608149561000000009736651211822000000000607346535865
SP34Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;morbillorum2351822283012563220000003944013606557987400000004044183508817441081000000
SP35Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT32414614414159314107900001991241435641480000009214355341923000000
SP36Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;endodontalis21019126400000000024122415200000000011015592000000000
SP37Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;oris30029630285069369601012000588581504239427532796000000617566564311130654538000000
SP38Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;sp. HMT036426363474281920000000493409406182416000000235336219101518000000
SP39Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus10301126112744704804140001664185916173665420000001931194717983843146000000
SP4Bacteria;Deinococcus-Thermus;Deinococci;Trueperales;Trueperaceae;Truepera;radiovictrix04431155311463324831021787662661044757694065164966122415621152411411
SP40Bacteria;Actinobacteria;Actinomycetia;Corynebacteriales;Corynebacteriaceae;Corynebacterium;matruchotii506347414692936973074850700010037806076891782441060314000050405454500793521731389483000
SP41Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;johnsonii1114208810486000000626973312289343000000815952310291434000000
SP42Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp. HMT47368565764667600003219000636749765078000000000312436632848000000000
SP43Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva7170661893215418410000001071011052693336432950000001569798446247136505000000
SP44Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;pasteri14871362142659986604400001404121912304615236000000779984702321667000000
SP45Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Pseudoleptotrichia;goodfellowii1651421560000000001771001390000000001029686000000000
SP46Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT3466746786363092932240092000667559538184196163000000473522480124129202000000
SP47Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sobrinus00021211411700000000020442337261200174000000237523263549000000
SP48Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis00000143911186811175800000000029085140101552000000000239134002115309000
SP49Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oulorum65158762816014410800000079957953813710686000000332372314515679000000
SP5Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii4496317345222326233325900620000486552274841640168687264100000545652784886685670399986000000
SP50Bacteria;Proteobacteria;Alphaproteobacteria;Sphingomonadales;Erythrobacteraceae;Erythrobacter;aureus00000028365080000010000595101910000000011078367000
SP51Bacteria;Firmicutes;Clostridia;Eubacteriales;Peptostreptococcaceae;Peptoanaerobacter;[Eubacterium] yurii563835387261318000000683143343377285000000351834239233331000000
SP52Bacteria;Firmicutes;Negativicutes;Selenomonadales;Selenomonadaceae;Selenomonas;artemidis710596616355303272000000744418509288278248000000337362273184125177000000
SP53Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;granulosa52350349210343650260000696536521877689000000297330266635269000000
SP54Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;meyeri846901881233627057164000749839717583251100000947891733637799000000
SP55Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei80718595947000000010153586250640000007977576054101000000
SP56Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT169114510141252129711199490439000180516691651248826712789000000173917371491270626663918011593000
SP57Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;segnis489395476000000000541405386000000000279324282000000000
SP58Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;naeslundii2732482721881591561170000729824768526593602000000876777793684652898000000
SP59Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;chosunense15502308195828457103200002171242223225952643000002593290127263447108000000
SP6Bacteria;Actinobacteria;Actinomycetia;Micrococcales;Micrococcaceae;Rothia;aeria596974181107102000000578663117136119000000407546107130139000000
SP60Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp. HMT110220178176217220166000000220202197195220220000000152137156202252327000000
SP61Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis1044924953113972480803100001220938939146915151127000000527665594856696955000000
SP62Bacteria;Actinobacteria;Actinomycetia;Micrococcales;Micrococcaceae;Rothia;dentocariosa3660438640549178708010024000458047004266107613341232000000380344123541112011421817000000
SP63Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;salivarius38325080984069818000003072952744876457950512000000248307282376141005371000000
SP64Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT225221522493560449000000182421458432368000000151512251235344000000
SP66Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT314583491524111000000660403448200000000330325211010000000
SP67Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;wadei2567217824405555254230022000334327962894519514509000000181422962422369319606000000
SP68Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT392282269263168618521391002700031734226718461806140100000014122216710129071393000000
SP69Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;dentalis27326629613603200001343125811426106000000119111641064888000000
SP7Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp. HMT278424350401127125104000000407305306119123116000000172238186685897000000
SP70Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;subflava01000038109951005500010300035980311180000400000271892014917000
SP71Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae1631531516305774350000001811371526446074120000006911472384353424000000
SP72Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Comamonadaceae;Ottowia;sp. HMT894178172188996620679000000309295256809862659000000117146114475387668000000
SP76Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;sp. HMT1801276128313041016998748000000225020371742137015461783000000251224052033213721283082000000
SP77Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT3491822092370000000002131681070000000009414199000000000
SP78Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Arachnia;propionica137139157525135000000350309294106108108000000294335265114103128000000
SP79Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Peptidiphaga;sp. HMT18342037142025101100001139112110548178000000139311221193112126000000
SP8Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris620622622806685578993193223989000558446435641557548692024120814000362365273292301486423162627035010
SP80Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens2973259323211455154514641360000308829442787162117961714000000306834862800171315332309000000
SP81Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT4481298127812490000180000296332252732000000000328234052983000000000
SP82Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;sp. HMT780789686722000000000597452481000000000274336285000000000
SP83Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT475000326378227000000000226256220000000000115124185000000
SP84Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hongkongensis47648444411311372931000000653587472994841759000000253343256632545829000000
SP85Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Escherichia;fergusonii0000000583321733917332157420000000009118684812279000000000609144295768
SP86Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT957456762698287105665000000605060654868125613000000475248425743436045000000
SP87Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT3176816016071951200000079751360912111000000031939138411710000000
SP88Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;sp. HMT8073418403141250013000306224232935342000000245200238475868000000
SP89Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT4121751501920010000001921711481100000009410493002000000
SP9Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;tannerae114183299500001000001131766831000000000441558479000000000
SP90Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT4177768871078000000490100103101480000009310410511516000000
SP91Bacteria;Actinobacteria;Actinomycetia;Micrococcales;Micrococcaceae;Rothia;mucilaginosa3235283324363510000003423373246766107100000425493442117147155000000
SP92Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;vestibularis18212100000000012113092000000000103157101010000000
SP93Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT347465505408224035000000541389393201919000000314374283171722000000
SP94Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi172153175216234165000000191139148161186197000000109109102129132179000000
SP95Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT335190195175433016000023321316931400000010416396312000000
SP96Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;viscosus4353631501441390110000797175300313328000000757170360364463000000
SP97Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis_subsp._tigurinus_clade_070292356389111000000105010791046003000000106912431013238000000
SP98Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT897119130140000000000887541572000000000544594478000000000
SP99Bacteria;Firmicutes;Negativicutes;Selenomonadales;Selenomonadaceae;Selenomonas;noxia548435518121000000534367420031000000252222262111000000
SPN1Bacteria;Actinobacteria;Actinomycetia;Corynebacteriales;Corynebacteriaceae;Corynebacterium;matruchotii_nov_97.830%10898109000000000205175156000000000103129125000000000
SPN10Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;buccalis_nov_96.593%4629440000000001099184000000000867889000000000
SPN11Bacteria;Bacteroidota;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Frondibacter;mangrovi_nov_92.570%5394605052041882432098713094400033566031302021955311600117106197700246120182803710191947918495118122
SPN15Bacteria;Firmicutes;Bacilli;Bacillales;Listeriaceae;Listeria;monocytogenes_nov_95.345%000000000522470478000000000112711841072000000000140910951199
SPN17Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Bacillus;halotolerans_nov_95.865%000000000421461387000000000111311641135000000000128010221200
SPN18Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris_nov_94.118%000000012171740000000000050754400000000001121723000
SPN19Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-6];bacterium HMT870 nov_96.899%895740808000000000657602595000000000443462454000000000
SPN2Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;xylanolytica_nov_89.300%605876201418000000169117115535244000000789194383033000000
SPN20Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis_nov_95.038%00000001521131100000000003744700000000000815694000
SPN21Bacteria;Actinobacteria;Actinomycetia;Propionibacteriales;Nocardioidaceae;Aeromicrobium;panaciterrae_nov_96.107%000000190249900000000034655260000000000887445000
SPN22Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;odontolytica_nov_95.038%2229225996770000004266522492533110000009181112414497901000000
SPN23Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;sp. HMT780 nov_96.756%570493522000000000415353424000000000251291232000000000
SPN24Bacteria;Actinobacteria;Actinomycetia;Streptosporangiales;Nocardiopsaceae;Nocardiopsis;nikkonensis_nov_97.250%000000867173400000000032444400000000000535585000
SPN25Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT171 nov_97.697%7973893752350000009911588138134149000000162104119181180230000000
SPN26Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae_nov_96.604%20815918100000000020615516500000000012013987000000000
SPN27Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;israelii_nov_95.055%1157387000000000159185199000000000196200191000000000
SPN28Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT957 nov_97.639%170142176292000000156124136152000000100140108011000000
SPN29Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;veroralis_nov_96.780%185150172000000000168143149000000000929597000000000
SPN3Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT175 nov_97.633%11251163122530201040000178818181654101400000018131802167371315000000
SPN30Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Faecalibacterium;prausnitzii_nov_96.579%001000000000000000012160000000000000000
SPN4Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;zoohelcum_nov_92.871%148113109000000000193201122000000000797743000000000
SPN5Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;naeslundii_nov_97.422%543257101000000121174112211000000143169157053000000
SPN6Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Faecalibacterium;prausnitzii_nov_97.778%00000000000000000009760000000000000000
SPN7Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;viscosus_nov_96.958%21032303000450006577410512300000015710133121159000000
SPN8Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae_nov_97.719%1189498000000000124102105000000000688071000000000
SPN9Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus_nov_97.500%9692106000000000846280000000000497038000000000
SPP1Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;multispecies_spp1_2441340428421523000000418344359372829000000221251216161732000000
SPP3Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp3_2232627107147152000000133726118128151000000223633121179171000000
SPP5Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;multispecies_spp5_21330812070126402158724396195761384300010281921693861458016804139980000006319744063059234904512688000000
SPP6Bacteria;Firmicutes;Bacilli;Bacillales;Staphylococcaceae;Staphylococcus;multispecies_spp6_30001210238215611580176310107202040299252260923297000102000186601908519049
 
 
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 1SUPA vs SUPB vs OM vs ZMPDFSVGPDFSVGPDFSVG
Comparison 2T vs FPDFSVGPDFSVGPDFSVG
Comparison 3Masterpure vs PowerSoil vs ZymoPDFSVGPDFSVGPDFSVG
 
 

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 1SUPA vs SUPB vs OM vs ZMView in PDFView in SVG
Comparison 2T vs FView in PDFView in SVG
Comparison 3Masterpure vs PowerSoil vs ZymoView 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.SUPA vs SUPB vs OM vs ZMObserved FeaturesShannon IndexSimpson Index
Comparison 2.T vs FObserved FeaturesShannon IndexSimpson Index
Comparison 3.Masterpure vs PowerSoil vs ZymoObserved 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 1SUPA vs SUPB vs OM vs ZMPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 2T vs FPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 3Masterpure vs PowerSoil vs ZymoPDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

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.SUPA vs SUPB vs OM vs ZMBray–CurtisCorrelationAitchison
Comparison 2.T vs FBray–CurtisCorrelationAitchison
Comparison 3.Masterpure vs PowerSoil vs ZymoBray–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.SUPA vs SUPB vs OM vs ZM
Comparison 2.T vs F
Comparison 3.Masterpure vs PowerSoil vs Zymo
 
 

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.SUPA vs SUPB vs OM vs ZM
Comparison 2.T vs F
Comparison 3.Masterpure vs PowerSoil vs Zymo
 
 
 

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.

 
SUPA vs SUPB vs OM vs ZM
 
 
 
 
 
 
 
LEfSe Results for All Comparisons
 
Comparison No.Comparison Name
Comparison 1.SUPA vs SUPB vs OM vs ZM
Comparison 2.T vs F
Comparison 3.Masterpure vs PowerSoil vs Zymo
 
 

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 1SUPA vs SUPB vs OM vs ZMPDFSVGPDFSVGPDFSVG
Comparison 2T vs FPDFSVGPDFSVGPDFSVG
Comparison 3Masterpure vs PowerSoil vs ZymoPDFSVGPDFSVGPDFSVG
 
 
B) One-way clustering - clustered on rows (organism) only
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1SUPA vs SUPB vs OM vs ZMPDFSVGPDFSVGPDFSVG
Comparison 2T vs FPDFSVGPDFSVGPDFSVG
Comparison 3Masterpure vs PowerSoil vs ZymoPDFSVGPDFSVGPDFSVG
 
 
C) No clustering
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1SUPA vs SUPB vs OM vs ZMPDFSVGPDFSVGPDFSVG
Comparison 2T vs FPDFSVGPDFSVGPDFSVG
Comparison 3Masterpure vs PowerSoil vs ZymoPDFSVGPDFSVGPDFSVG
 
 

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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