FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

The Forsyth Institute, Cambridge, MA, USA
October 10, 2023

Project ID: 20231009_unoise_trim


I. Project Summary

Project 20231009_unoise_trim 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
 
 

UNOISE zOTU Read Counts by Samples

#Sample IDRead Count
F12829.S06109,871
F12829.S35110,429
F12829.S27117,995
F12829.S36120,098
F12829.S29121,083
F12829.S23121,561
F12829.S28125,440
F12829.S02128,796
F12829.S03130,642
F12829.S25130,846
F12829.S34133,756
F12829.S05134,358
F12829.S26134,716
F12829.S01134,772
F12829.S04134,865
F12829.S18138,047
F12829.S15140,889
F12829.S16143,705
F12829.S14145,441
F12829.S12146,252
F12829.S17149,616
F12829.S11156,013
F12829.S10159,902
F12829.S24165,135
F12829.S22167,231
F12829.S30169,850
F12829.S13169,922
F12829.S19175,839
F12829.S31191,133
F12829.S09201,626
F12829.S07202,718
F12829.S08231,058
F12829.S21238,746
F12829.S33246,784
F12829.S20252,876
F12829.S32279,905
 
 
 

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%(>=574 reads)
ATotal reads5,761,9165,761,916
BTotal assigned reads5,740,2305,740,230
CAssigned reads in species with read count < MPC039,980
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)5,740,2305,700,250
IReads assigned to single species4,653,8094,623,173
JReads assigned to multiple species531,783529,165
KReads assigned to novel species554,638547,912
LTotal number of species462227
MNumber of single species367195
NNumber of multi-species268
ONumber of novel species6924
PTotal unassigned reads21,68621,686
QChimeric reads00
RReads without BLASTN hits00
SOthers: short, low quality, singletons, etc.21,68621,686
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;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Lancefieldella;rimae3755556110869000000352735504754000000532941473579110020
SP101Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;gordonii45073187453723282334260806200004881524548606407689472811000005501531049416868705610010000000
SP103Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;endodontalis475453412000000000525361449000000000262272212000000000
SP104Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;longum30531934514201400000036626227010161700000028531928071121000000
SP106Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT347465505408224035000000542389393201919000000314374283171722000000
SP107Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;oris35332736484969269501012000706753611237927402786000000754725708309730524524000000
SP109Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;catoniae261209237278237188000000283231241249242179000000123197152167146187000000
SP114Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT897119130140000000000890540572000000000544595476000000000
SP116Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;odontolytica21217818857185686446700000027828926888851024711236000000322338268139101461120883000000
SP118Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT175114510681190124129780640000155114161280320318414000000149214391209405433637000000
SP119Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus680629696475750000000916580590474438000000397489441121825000000
SP120Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT392283269263168318491390002700031734226718411806140000000014122116810089071392000000
SP121Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;gingivalis6585926351139724807000000775622582147015121126000000335400385856697953000000
SP122Bacteria;Firmicutes;Bacilli;Lactobacillales;Aerococcaceae;Abiotrophia;defectiva7170671887215318380000001071011052688336433010000001599797446047136497000000
SP123Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Shigella;sonnei000000012162618497186201676710000000010894741813320000000000681352116562
SP124Bacteria;Firmicutes;Negativicutes;Selenomonadales;Selenomonadaceae;Selenomonas;infelix7784757362460000001317267444247000000404945192835000000
SP125Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;dispar1197106910544810782000000823812748232636000000491644482151127000000
SP127Bacteria;Absconditabacteria_(SR1);Absconditabacteria_(SR1)_[C-1];Absconditabacteria_(SR1)_[O-1];Absconditabacteria_(SR1)_[F-1];Absconditabacteria_(SR1)_[G-1];bacterium HMT874767976000000000828592000000000575050000000000
SP128Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;loescheii221226241115136106000000264257230103137890000001131221067376120000000
SP13Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;haemolyticus467355431622635000000501399410494540000000237304220192444000000
SP130Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;salivae297271302109150000003332932901511600000013114916851013000000
SP131Bacteria;Deinococcus-Thermus;Deinococci;Trueperales;Trueperaceae;Truepera;radiovictrix04431155311603325731021787662661045227700765164966122415622952425411
SP132Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;massiliensis4744595043970000001145102598946515800000011501101995443865000000
SP133Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;constellatus2627245256470000001191038417822824100000011510489202167310000000
SP136Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT3177706727041951200000091157669912111100000035244943311710000000
SP14Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp. HMT322269258264429445266000000273218210441514337000000116157146270221315000000
SP140Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis00000143911189911180600000000029085186101591000000000239134044115353000
SP141Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT3001711331391311037300000018812613811084750000009895105344376000000
SP142Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-3];bacterium HMT35168657617181500000092516098110000004329499148000000
SP143Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;buccalis9167587896265814780000001135869782650628669000000536633559510449656000000
SP145Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;copri00000000000000000008250000000000000000
SP148Bacteria;Firmicutes;Negativicutes;Selenomonadales;Selenomonadaceae;Selenomonas;sp. HMT9203239231147453000000412723857667000000122614324759000000
SP15Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidales_[F-2];Bacteroidales_[G-2];bacterium HMT27450676900000000016462680000000004065107000000000
SP150Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;gracilis129411731246369132236000000158311561217350318262000000762934706167171207000000
SP151Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Salmonella;enterica00000001890837045372223300000000001019926141042590010000100413313938412258
SP153Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT3485365885877512090000000449402399728259000000263376287283290000000
SP154Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oulorum65358662916014610800000079857953713710686000000333373316515680000000
SP156Bacteria;Firmicutes;Bacilli;Bacillales;Listeriaceae;Listeria;monocytogenes00000001250452240924485100000000219721650215607000000000189061819517939
SP158Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Peptidiphaga;sp. HMT18341937142025101100001139112010548178000000139111211191112126000000
SP159Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;sp. HMT780789688724000000000596450482000000000274337288000000000
SP161Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;sp. HMT036387337428281920000000450378377182516000000224316200101518000000
SP162Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis_subsp._tigurinus_clade_071843177612222534413580430000198823702103674625730100000255127392489611644891000000
SP164Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hofstadii200201229200000000242212219000000000135112130000000000
SP165Bacteria;Proteobacteria;Gammaproteobacteria;Oceanospirillales;Halomonadaceae;Halomonas;alkaliantarctica00000001895900000000013233190000000000442425000
SP166Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;elongata441492475000000000748669466000000000251353269000000000
SP168Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;chosunense1126129812326310813902500001070117111391259411860000011501395134676106203000000
SP169Bacteria;Firmicutes;Negativicutes;Veillonellales;Veillonellaceae;Megasphaera;micronuciformis10871946540000001047240944000000625741144000000
SP17Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;parvula51394782486221681911180306400003862367437641364170513950000002349298323958669311277000000
SP170Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT864287235234000000000317245255000000000134190146000000000
SP172Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis_subsp._dentisani_clade_058446472462174129070000595617552233725000000605728558323649000000
SP173Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;parainfluenzae840806819155888400000010068469071401311170000005846554928563122000000
SP176Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT314581491528121000000662404447200000000327326212010000000
SP177Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis132931451897135209167100000264128842465254231305000000299130212884312347438000000
SP178Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Oribacterium;sp. HMT078240212277141060000002812582271510120000002382592115511000000
SP18Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Eikenella;corrodens168167180235160162000000217189192227186167000000118127106148120172000000
SP180Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;granulosa821755739104436503800001048749806877789000000447535441635269000000
SP181Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;tannerae114283099700001000001132767832000000000441558478000000000
SP184Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._vincentii755780809584000000991783706411000000558470471313000000
SP187Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;sp. HMT513343367327000000000518286292000000000195230207000000000
SP188Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Propionibacteriaceae;Cutibacterium;acnes2011110141407229010000191889137200101001302040000
SP189Bacteria;Firmicutes;Clostridia;Clostridiales;Ruminococcaceae;Ruminococcaceae_[G-1];bacterium HMT0751791602048469896840000002041381456596586390000009398104454412534000000
SP190Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;sp. HMT180201721012077251252162000000289327642356328311356100000332631592639361376572000000
SP191Bacteria;Firmicutes;Bacilli;Lactobacillales;Enterococcaceae;Enterococcus;faecalis0000000198031273038318910000010016313121961518600000000099911020310823
SP192Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flavescens1371111070000000001268798000000000895770000020000
SP193Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;oralis_subsp._tigurinus_clade_0702923523892210000001054108410470140000001075124710222511000000
SP194Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;sp. HMT90010312310021880000001401008517911000000557342657000000
SP195Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT171162167185136140106000000319306302360372442000000353316300507499684000000
SP197Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT3491822092370000000002121681070000000009414199000000000
SP198Bacteria;Firmicutes;Negativicutes;Veillonellales;Veillonellaceae;Dialister;invisus31227027014093104000000381270304174128130000000214230188606470000000
SP2Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum_subsp._animalis8957678531671361680900009587398001891471220000005306244959090126000000
SP200Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT212247229234435247903803000000293340268396540693006000000169191154235021863417000000
SP201Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;histicola756757335241000000787473204029000000446637121519000000
SP204Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT2156056106359795760390000602542529446847000000359478368142755000000
SP21Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sanguinis73769578840604148367500000014781477141991231025210804000000163117841573125841216416019000000
SP210Bacteria;Actinobacteria;Actinobacteria;Propionibacteriales;Propionibacteriaceae;Arachnia;propionica168163182525135000000402375343106108108000000331378322114104129000000
SP211Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;goodfellowii13810512200000000014579108000000000647456000000000
SP212Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;flava281228258297217232242000000280212212418142133162000000116168113238122732856000000
SP214Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;nigrescens83762276112987727530000007525225911017761833000000376416310604482663000000
SP215Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Kingella;oralis76069666818018512300000089468572818921215100000045945039510693183000000
SP217Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;sp. HMT286157169171000000000278145160000000000111111100000000000
SP218Bacteria;Firmicutes;Negativicutes;Selenomonadales;Selenomonadaceae;Selenomonas;noxia547433516001000000529361414001000000251218261011000000
SP219Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;intermedia772845104528023316300000084260760820618015100000048647028010495142000000
SP22Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;sp. HMT178295348311108403000008908807421729320000001063927966201237000000
SP224Bacteria;Actinobacteria;Actinomycetia;Micrococcales;Micrococcaceae;Rothia;aeria596974181107102000000578663117136119000000407546108129140000000
SP227Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Comamonadaceae;Acidovorax;temperans0000000000000000000000000000000285524000
SP228Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Bacteroidaceae;Phocaeicola;vulgatus000000001000000000015320000000000001010
SP23Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;sp. HMT204175168171124998500000023417415412411410300000096103838455143000000
SP231Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;gingivalis010237122170000000000191219213000000000123127196000000
SP232Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;sp. HMT110220178176217220166000000220202197195220220000000152137156202252327000000
SP24Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Catonella;morbi173153176216234165000000193140151162186197000000109111103129132179000000
SP241Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Lancefieldella;parvula8157661491831330000003753235279900000003531245976134000000
SP243Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;georgiae32333211860520000687959152531000000849279163333000000
SP246Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sputigena36272118321082132600000035322020522072165600000020151111939971437000000
SP249Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Allobacillus;halotolerans93501570001369718256042830034260017260079505942137611160038240023830011952727062937182500
SP250Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT1701299913634427629900000021520317092110421143000000225191207125812671841000000
SP257Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp. HMT91418817968674000000511891696500000011310334155000000
SP259Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mitis430864225583277335482812050000590165426142311532963457400000642769916164278431884071000000
SP261Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;anginosus107105114000000000361391349000000000364461443000000000
SP262Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT3352072101940000190000253233183000000000119177104000000000
SP263Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;johnsonii1116208810486000000636973312291343000000816154311291434000000
SP265Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcus;stomatis2622220000000001226712000000000010582108004000000
SP266Bacteria;Actinobacteria;Actinobacteria;Bifidobacteriales;Bifidobacteriaceae;Scardovia;wiggsiae000115185100000000000131124156000000000157166230000000
SP267Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Citrobacter;koseri000000060166416451585000000000517567963000000000462275477
SP268Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp. HMT0664131946220000001516104653530000002315166391114000000
SP269Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Aggregatibacter;segnis489396475000000000542406386000000000279324281000000000
SP27Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;oris6216236228056805801003194224004000560449436642557549692025020826000363365273292301486423164327056010
SP270Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;sp. HMT877101100107000000000286202268000000000335253294000000000
SP273Bacteria;Actinobacteria;Actinomycetia;Micrococcales;Micrococcaceae;Rothia;dentocariosa3664438840539178688000024000458046964266107613341233000000379644063543112011441817000000
SP277Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Solobacterium;moorei80718595947000000010153586250640000007977576054101000000
SP278Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;trevisanii13513912300000000014411110200000000010011786000000000
SP279Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp. HMT278398336387124126104000000388280281119124116000000164228175685897000000
SP28Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Stomatobaculum;sp. HMT0971067310321172600000012888762219190000007210972241629000000
SP280Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp. HMT064351049594555649797041000059726203585511592139100000687774066561126143205000000
SP284Bacteria;Firmicutes;Negativicutes;Veillonellales;Veillonellaceae;Anaeroglobus;geminatus23231881594900000014152675425600000013103283442000000
SP288Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Tannerella;serpentiformis1636241008489000000202214839882000000121415504270000000
SP290Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT957456762698187155668000000605060654968145616000000465248425943436047000000
SP292Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;melaninogenica165713981576326931742294000000140312461305226822552006000000764988707125913081737000000
SP293Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-9];[Eubacterium]_brachy6143452182400000010415788424841000000161109102334071000000
SP294Bacteria;Firmicutes;Bacilli;Bacillales;Staphylococcaceae;Staphylococcus;warneri00000010235677100000010021209294000000000331232384000
SP296Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus269280280000000000453539441001000000528494441000000000
SP297Bacteria;Proteobacteria;Gammaproteobacteria;Cardiobacteriales;Cardiobacteriaceae;Cardiobacterium;hominis8889100311412000000126668817171500000043565191118000000
SP3Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT412345295356000000000365312329000000000184243189000000000
SP304Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Comamonadaceae;Ottowia;sp. HMT894178172188996620679000000309296256809862659000000117146114475387668000000
SP306Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-6];bacterium HMT870294308278727664000000251238228648653000000190182138563574000000
SP31Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;dentalis27226729813603200001345125911426106000000118611621061888000000
SP310Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;vestibularis202428000000000159152123000000000117188118000000000
SP312Bacteria;Proteobacteria;Gammaproteobacteria;Pseudomonadales;Pseudomonadaceae;Pseudomonas;aeruginosa000000096651131431384012926000000000695147539037000000004437534184088
SP313Bacteria;Actinobacteria;Actinomycetia;Micrococcales;Micrococcaceae;Rothia;mucilaginosa3185263344365510000003413433256766107100000432500437116144156000000
SP315Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;cristatus_clade_57843246549731423200140007598587572847280000009188989312034126000000
SP317Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT86310297920000230000131144109000000000599143000000000
SP320Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp. HMT42352008585686023842883222501400000900195108875404043494292000000104461092810235404340295539000000
SP321Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;atypica9079761481191280000006656488210078000000353223455481000000
SP322Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT414152101133000000000561420485000000000386388395000000000
SP323Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT3241431421410000000001991231430000000009214355000000000
SP328Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;sp. HMT807341840314125000000306224232935342000000247200238475868000000
SP33Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT3466746786363082942230092000669560538184196163000000473522480124129202000000
SP333Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;gerencseriae17516920832253400000038641336892113850000004533933788495137000000
SP336Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT902124121103000000000144105103000000000767957000000000
SP34Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;denticola1198712016915885012160009084842041181010000007268865762114000000
SP343Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Oxalobacteraceae;Herbaspirillum;huttiense0000000003000000000000000001000212636000
SP344Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;mutans384446000017826000516495517011012616700059156055400006552007000
SP348Bacteria;Proteobacteria;Alphaproteobacteria;Sphingomonadales;Erythrobacteraceae;Qipengyuania;seohaensis000000310045840000010000683118510000000011278434000
SP35Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;maculosa1401221473316230100001511021013111310000008287699825000000
SP358Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;cinerea110695210540000000001024858835000000000519586483000000000
SP36Bacteria;Firmicutes;Negativicutes;Selenomonadales;Selenomonadaceae;Selenomonas;artemidis672561579355303272000000685396476289279249000000325339265184126177000000
SP365Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;endodontalis21119126500000000024122415200000000011115592000000000
SP367Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp. HMT47368655763668400003219000637449855079000000000312636602847000000000
SP369Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Ralstonia;pickettii00000000320000000000000000000001667430000
SP371Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT4481293127612470000180000295732182720000000000326933832960000000000
SP374Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Escherichia;coli000000022634968998668711000000000558339116973000000000359926973447
SP379Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Escherichia;fergusonii0000000802679264725490000000007329521825000000000692376735
SP382Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;intermedius220229259296413347000000464489455580589736000000556597506635770922000000
SP39Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;saccharolytica727378848850000000955964555853000000253937382834000000
SP393Bacteria;Proteobacteria;Alphaproteobacteria;Hyphomicrobiales;Phyllobacteriaceae;Phyllobacterium;myrsinacearum0000000000000000000000000000000700419000
SP398Bacteria;Firmicutes;Clostridia;Clostridiales;Peptoniphilaceae;Parvimonas;micra302238350000000000345316314000000000386341263000000000
SP4Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Limosilactobacillus;fermentum00010002660404042224825200200000163641239412684000025000273402034819811
SP40Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Burkholderiaceae;Lautropia;mirabilis151132107441352243635040000905810728863274311300000010013191396742036197000000
SP408Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;meyeri353956253727057164000484142523348000000615540637690000000
SP410Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Shigella;boydii00000002330493548884501000000000282918943442000000000174013541643
SP45Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;salivarius36294480983769818000002702752444876458350502000000235279266375741045365000000
SP46Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Treponemataceae;Treponema;sp. HMT2371179394000000000907562000000000515049000000000
SP49Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;hongkongensis47648544411301372929000000653587472995841761000000253343256632545827000000
SP5Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;nucleatum4309381239991957154413861226021799000473034553730197818331454614384185000245726652258112211161524233703428000
SP50Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;elegans893835867388394325000000624655636211277257000000480560425160197247000000
SP51Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT221168815361658000000000197017821927000000000119015741368000000000
SP52Bacteria;Proteobacteria;Betaproteobacteria;Neisseriales;Neisseriaceae;Neisseria;subflava01000038109961005300010300035980611179000400000271891414915000
SP53Bacteria;Actinobacteria;Actinomycetia;Corynebacteriales;Corynebacteriaceae;Corynebacterium;matruchotii517148444801936973074950800010245823378511792431060314000051455586513493521731390484000
SP56Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;naeslundii2712492701871551491170000729816764511590604000000864780787670637882000000
SP58Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT417140147162201217000000947232201202415000000185204220171035000000
SP59Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;wadei2493209123545435184140023000288026662793509504503000000171721932305363314588000000
SP6Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;haemolysans399325450133114128000000853924881223241257000000803904779214200319000000
SP60Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Peptidiphaga;gingivicola82861310000435000231243217000000000266297190000000000
SP62Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sobrinus00021111411700000000020282323259900174000000235723163533000000
SP63Bacteria;Firmicutes;Clostridia;Clostridiales;Peptostreptococcaceae_[XI];Peptostreptococcaceae_[XI][G-7];[Eubacterium]_yurii_subsps._yurii_&_margaretiae563835388261318000000683143343377285000000351834239233331000000
SP64Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;pasteri14891363142459986604400001405122012304615536000000779986701321667000000
SP66Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;umeaense111106969380000001269197263000000728480335000000
SP67Bacteria;Proteobacteria;Gammaproteobacteria;Cardiobacteriales;Cardiobacteriaceae;Cardiobacterium;valvarum1922321298610000000039585598123890000009219557380000000
SP69Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;showae1631531516305774350000001821371526446074120000006911472384353424000000
SP70Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT47248746746713014377000000558348408134136920000002342921896383111000000
SP71Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT94294921070000000001167499000000000436359000000000
SP79Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;hwasookii31314634173182269001000037313037603673255000000082121200517822572000000
SP8Bacteria;Spirochaetes;Spirochaetia;Spirochaetales;Treponemataceae;Treponema;socranskii10168131353723000000815672403225000000485745151925000000
SP80Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp. HMT475000326377227000000000226256220000000000115124186000000
SP81Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT169100692211101426123910690549000165314811497272329223034000000159315531353297529564252011793000
SP84Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Alloprevotella;sp. HMT308936794325233226000000805778272273217000000515135160143216000000
SP85Bacteria;Firmicutes;Bacilli;Bacillales;Gemellaceae;Gemella;morbillorum3032312883012553210000004504744266537987390000004634834078827431078000000
SP86Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;sp. HMT33820113716800000000018116815300000000013011590000000000
SP88Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Capnocytophaga;leadbetteri733670736652956204572000000946754776576756374491000000406566374335527253823000000
SP89Bacteria;Firmicutes;Bacilli;Bacillales;Bacillaceae;Bacillus;halotolerans0100100216854546875433751940200000000321192425236889000000100248521987023273
SP9Bacteria;Firmicutes;Clostridia;Clostridiales;Lachnospiraceae_[XIV];Lachnoanaerobaculum;saburreum550551676129140360000730706667202928000000564631508122118000000
SP91Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Granulicatella;adiacens2970258923081451153814591360000308629362768161617901704000000304734732781170815262301000000
SP92Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-3];bacterium HMT100191157166239177171000000205162129270182202000000105126109135112183000000
SP93Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT225149851459246800000018171448745338600000081412280255366000000
SP95Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT525373641444946000000192153170204207184000000253178171201170336000000
SP97Bacteria;Firmicutes;Negativicutes;Selenomonadales;Selenomonadaceae;Selenomonas;sputigena1541281321681509700000015110593118107108000000756098476486000000
SPN1Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Bergeyella;zoohelcum_nov_92.593%148113110000000000193202122000000000797743000000000
SPN11Bacteria;Bacteroidota;Flavobacteriia;Flavobacteriales;Flavobacteriaceae;Frondibacter;mangrovi_nov_92.484%5394605053041883082099413098400033566331302121955581601217107197700246020182703710311949218504118222
SPN15Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-6];bacterium HMT870 nov_96.994%895741809000000000659602596000000000443462454000000000
SPN2Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis_nov_96.319%000000018117000000000001361380000000000265143000
SPN25Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis_nov_94.672%00000001500131200000000003794650000000000806691000
SPN3Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT175 nov_97.746%11231163122630201040000178518101646100300000018051792165571013000000
SPN31Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;gingivalis_nov_97.131%0000001328528500000000002242130000000003416178000
SPN36Bacteria;Actinobacteria;Actinomycetia;Propionibacteriales;Nocardioidaceae;Aeromicrobium;panaciterrae_nov_96.104%000000190149700000000034655240000000000888445000
SPN4Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;israelii_nov_96.647%35128192300000025191913712811400000025251717483157000000
SPN41Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;israelii_nov_94.882%1147387000000000156184199000000000197199192000000000
SPN48Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;sp. HMT780 nov_97.228%571497529000000000415353427000000000253293237000000000
SPN5Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;naeslundii_nov_97.760%3023129300045000412874103123000000181020132118159000000
SPN52Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-1];bacterium HMT957 nov_97.550%170142176292000000156123136152000000100140108011000000
SPN6Bacteria;Actinobacteria;Actinobacteria;Actinomycetales;Actinomycetaceae;Schaalia;odontolytica_nov_90.083%24213393420000000411939485224000000603656465786000000
SPN60Bacteria;Actinobacteria;Actinomycetia;Streptosporangiales;Nocardiopsaceae;Nocardiopsis;nikkonensis_nov_97.257%000000867173400000000032454410000000000536585000
SPN61Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT171 nov_96.813%54649526332700000022324727454929200000044331129288117120000000
SPN62Bacteria;Actinobacteria;Actinomycetia;Actinomycetales;Actinomycetaceae;Actinomyces;sp. HMT169 nov_97.992%193151218033000000247267267774000000258269231569000000
SPN63Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;veroralis_nov_97.342%187150172000000000168143150000000000929697000000000
SPN64Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Faecalibacterium;prausnitzii_nov_96.976%001000000000000000012220000000000000000
SPN65Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;xylanolytica_nov_88.613%605976201418000000170117115535244000000789194383033000000
SPN66Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp. HMT284 nov_97.746%1621281550000000001731291310000000008211359000000000
SPN7Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Campylobacteraceae;Campylobacter;concisus_nov_97.397%9492106000000000846180000000000487038000000000
SPN8Bacteria;Fusobacteria;Fusobacteriia;Fusobacteriales;Leptotrichiaceae;Leptotrichia;sp. HMT225 nov_96.739%4629440000000001099285000000000867890000000000
SPP15Bacteria;Fusobacteria;Fusobacteria;Fusobacteriales;Fusobacteriaceae;Fusobacterium;multispecies_spp15_25515484786452520240000617437524744641000000315401349312134000000
SPP19Bacteria;Proteobacteria;Gammaproteobacteria;Oceanospirillales;Halomonadaceae;Halomonas;multispecies_spp19_20000000561490000000001259278000000000031865000
SPP25Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp25_21211161101481520000008257119129152000000131122122183172000000
SPP3Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;multispecies_spp3_21479113433140084099245574369951415900011225101291030726878315472608101620110698082287003170951730323648000000
SPP5Bacteria;Firmicutes;Bacilli;Bacillales;Staphylococcaceae;Staphylococcus;multispecies_spp5_300001101630155915811760101001000299252260623300000000000186581908519033
SPP6Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;multispecies_spp6_2142156131000000000161117139000000000907986000000000
SPP7Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;multispecies_spp7_2000186123841785000000000172319512135000000000172218192371000000
SPP9Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Haemophilus;multispecies_spp9_2429337421000000000411332352000000000216248213000000000
SPPN2Bacteria;Firmicutes;Clostridia;Negativicutes;Veillonellaceae;Veillonella;multispecies_sppn2_2_nov_83.946%884980901491380000005352591821861480000005553319795160000000
 
 
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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