FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.41 fork

Version History

The Forsyth Institute, Cambridge, MA, USA
September 24, 2023

Project ID: FOMC13078_Vivek_PacBio


I. Project Summary

Project FOMC13078_Vivek_PacBio 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

#SampleIDSampleNameGroup
WT.D0.FECAL.AWT.D0.FECAL.AWT D0 FECAL
WT.D0.FECAL.BWT.D0.FECAL.BWT D0 FECAL
WT.D0.FECAL.CWT.D0.FECAL.CWT D0 FECAL
WT.D0.FECAL.DWT.D0.FECAL.DWT D0 FECAL
WT.D0.FECAL.EWT.D0.FECAL.EWT D0 FECAL
WT.D10.FECAL.AWT.D10.FECAL.AWT D10 FECAL
WT.D10.FECAL.BWT.D10.FECAL.BWT D10 FECAL
WT.D10.FECAL.CWT.D10.FECAL.CWT D10 FECAL
WT.D10.FECAL.DWT.D10.FECAL.DWT D10 FECAL
WT.D10.FECAL.EWT.D10.FECAL.EWT D10 FECAL
WT.D10.FECAL.FWT.D10.FECAL.FWT D10 FECAL
WT.D10.FECAL.GWT.D10.FECAL.GWT D10 FECAL
WT.D10.FECAL.HWT.D10.FECAL.HWT D10 FECAL
WT.D10.FECAL.IWT.D10.FECAL.IWT D10 FECAL
WT.D0.ORAL.AWT.D0.ORAL.AWT D0 ORAL
WT.D0.ORAL.BWT.D0.ORAL.BWT D0 ORAL
WT.D0.ORAL.CWT.D0.ORAL.CWT D0 ORAL
WT.D0.ORAL.DWT.D0.ORAL.DWT D0 ORAL
WT.D0.ORAL.EWT.D0.ORAL.EWT D0 ORAL
WT.D10.ORAL.AWT.D10.ORAL.AWT D10 ORAL
WT.D10.ORAL.BWT.D10.ORAL.BWT D10 ORAL
WT.D10.ORAL.CWT.D10.ORAL.CWT D10 ORAL
WT.D10.ORAL.DWT.D10.ORAL.DWT D10 ORAL
WT.D10.ORAL.EWT.D10.ORAL.EWT D10 ORAL
KO.D0.FECAL.AKO.D0.FECAL.AKO D0 FECAL
KO.D0.FECAL.BKO.D0.FECAL.BKO D0 FECAL
KO.D0.FECAL.CKO.D0.FECAL.CKO D0 FECAL
KO.D0.FECAL.DKO.D0.FECAL.DKO D0 FECAL
KO.D0.FECAL.EKO.D0.FECAL.EKO D0 FECAL
KO.D10.FECAL.AKO.D10.FECAL.AKO D10 FECAL
KO.D10.FECAL.BKO.D10.FECAL.BKO D10 FECAL
KO.D10.FECAL.CKO.D10.FECAL.CKO D10 FECAL
KO.D10.FECAL.DKO.D10.FECAL.DKO D10 FECAL
KO.D10.FECAL.EKO.D10.FECAL.EKO D10 FECAL
KO.D10.FECAL.FKO.D10.FECAL.FKO D10 FECAL
KO.D10.FECAL.GKO.D10.FECAL.GKO D10 FECAL
KO.D10.FECAL.HKO.D10.FECAL.HKO D10 FECAL
KO.D10.FECAL.IKO.D10.FECAL.IKO D10 FECAL
KO.D0.ORAL.AKO.D0.ORAL.AKO D0 ORAL
KO.D0.ORAL.BKO.D0.ORAL.BKO D0 ORAL
KO.D0.ORAL.CKO.D0.ORAL.CKO D0 ORAL
KO.D0.ORAL.DKO.D0.ORAL.DKO D0 ORAL
KO.D0.ORAL.EKO.D0.ORAL.EKO D0 ORAL
KO.D10.ORAL.AKO.D10.ORAL.AKO D10 ORAL
KO.D10.ORAL.BKO.D10.ORAL.BKO D10 ORAL
KO.D10.ORAL.CKO.D10.ORAL.CKO D10 ORAL
KO.D10.ORAL.DKO.D10.ORAL.DKO D10 ORAL
KO.D10.ORAL.EKO.D10.ORAL.EKO D10 ORAL
 
 

ASV Read Counts by Samples

#Sample IDRead Count
KO.D10.FECAL.D947
WT.D0.ORAL.A4,968
KO.D0.ORAL.A7,333
WT.D0.ORAL.D7,432
KO.D0.FECAL.A8,709
WT.D10.FECAL.G8,912
KO.D0.ORAL.C9,434
WT.D10.FECAL.H9,725
WT.D10.ORAL.A9,743
WT.D0.FECAL.B11,671
WT.D0.ORAL.E11,745
KO.D0.ORAL.D12,215
WT.D10.FECAL.C12,607
WT.D10.FECAL.E12,707
WT.D10.FECAL.B12,804
KO.D10.ORAL.A12,903
KO.D0.FECAL.D12,936
KO.D0.ORAL.E12,954
WT.D10.FECAL.D12,979
KO.D0.FECAL.C13,249
KO.D10.FECAL.G13,615
WT.D10.FECAL.I13,703
KO.D10.FECAL.A14,314
WT.D0.FECAL.C15,542
WT.D10.FECAL.F15,592
KO.D10.FECAL.C18,843
WT.D0.ORAL.B19,141
KO.D10.FECAL.E19,377
KO.D10.FECAL.I19,445
WT.D0.FECAL.E20,169
WT.D10.FECAL.A20,269
KO.D10.FECAL.B20,278
KO.D0.FECAL.B20,484
WT.D0.FECAL.D21,007
WT.D10.ORAL.B21,516
WT.D10.ORAL.D22,090
WT.D10.ORAL.C22,578
KO.D0.ORAL.B22,761
KO.D0.FECAL.E23,854
KO.D10.ORAL.C23,886
WT.D10.ORAL.E24,352
WT.D0.FECAL.A24,407
KO.D10.ORAL.D25,470
WT.D0.ORAL.C25,487
KO.D10.FECAL.H28,195
KO.D10.ORAL.B34,321
KO.D10.FECAL.F41,984
KO.D10.ORAL.E42,616
 
 
 

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%(>=84 reads)
ATotal reads841,269841,269
BTotal assigned reads840,818840,818
CAssigned reads in species with read count < MPC06,768
DAssigned reads in samples with read count < 50000
ETotal samples4848
FSamples with reads >= 5004848
GSamples with reads < 50000
HTotal assigned reads used for analysis (B-C-D)840,818834,050
IReads assigned to single species641,724641,043
JReads assigned to multiple species641547
KReads assigned to novel species198,453192,460
LTotal number of species512246
MNumber of single species8864
NNumber of multi-species52
ONumber of novel species419180
PTotal unassigned reads451451
QChimeric reads6060
RReads without BLASTN hits1515
SOthers: short, low quality, singletons, etc.376376
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.
SPIDTaxonomyKO.D0.FECAL.AKO.D0.FECAL.BKO.D0.FECAL.CKO.D0.FECAL.DKO.D0.FECAL.EKO.D0.ORAL.AKO.D0.ORAL.BKO.D0.ORAL.CKO.D0.ORAL.DKO.D0.ORAL.EKO.D10.FECAL.AKO.D10.FECAL.BKO.D10.FECAL.CKO.D10.FECAL.DKO.D10.FECAL.EKO.D10.FECAL.FKO.D10.FECAL.GKO.D10.FECAL.HKO.D10.FECAL.IKO.D10.ORAL.AKO.D10.ORAL.BKO.D10.ORAL.CKO.D10.ORAL.DKO.D10.ORAL.EWT.D0.FECAL.AWT.D0.FECAL.BWT.D0.FECAL.CWT.D0.FECAL.DWT.D0.FECAL.EWT.D0.ORAL.AWT.D0.ORAL.BWT.D0.ORAL.CWT.D0.ORAL.DWT.D0.ORAL.EWT.D10.FECAL.AWT.D10.FECAL.BWT.D10.FECAL.CWT.D10.FECAL.DWT.D10.FECAL.EWT.D10.FECAL.FWT.D10.FECAL.GWT.D10.FECAL.HWT.D10.FECAL.IWT.D10.ORAL.AWT.D10.ORAL.BWT.D10.ORAL.CWT.D10.ORAL.DWT.D10.ORAL.E
SP1Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;acidifaciens423268473500002214263957415271615005200179106561183580000815616567315411711915012600000
SP10Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Faecalibaculum;rodentium372305822000350177326901290000171764122800018000000230664884400000036764185834
SP11Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-2];bacterium_MOT-162191081700004029414245019012200000040224880700080104318012900000000
SP12Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-4];bacterium_MOT-1510148161000000009000066000022954500000640053070000000
SP13Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri33056153700001249635134701000400000002614430000752706049110000000
SP14Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Ligilactobacillus;murinus944421573673974113446545621444251652011120624230406481655214370521260774061068549321015614137415873372828371112139231153949544655361194941689467773204
SP16Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Limosilactobacillus;reuteri186666292117154201213803179339024117318514685195922790700012391024036679460001446905362211314675620323538500000
SP17Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Helicobacteraceae;Helicobacter;ganmani492211764155417023047130370607020001533285311180001420011425349485853400000
SP18Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-7];bacterium_MOT-1541402126000000000049014175000000021781118500000002725000471600000
SP19Bacteria;Firmicutes;Clostridia;Eubacteriales;Clostridiaceae;Clostridium;disporicum704611300000004250001080390000000000161140000000000000000000
SP20Bacteria;Firmicutes;Erysipelotrichi;Erysipelotrichales;Erysipelotrichaceae;Ileibacterium;valens631010690000000188336211640817035200159553030249000000000400000000000000
SP21Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Rodentibacter;pneumotropicus00030228220444554531600000000024327934487019622523000003752257495017500000000037854321591229487393
SP22Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-1770001650000000000032500000000000000000000000000000000
SP23Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Acutalibacter;muris45075400000600803400000000010000090001100005000000000
SP24Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculum;intestinale155264171183252000016889424030834540455448000036655114126201000016159542410336172928010900000
SP25Bacteria;Firmicutes;Clostridia;Eubacteriales;Peptococcaceae;Peptococcaceae_[G-1];bacterium_MOT-14631213539600002008830230425400000613756000071807261117246600000
SP26Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;caecimuris507240000000802049212000000400100000009000012125000000
SP27Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Adlercreutzia;mucosicola23015422000000026033200017000002391076000000190119000600020
SP28Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Porphyromonadaceae;Porphyromonas;sp._MOT-1310000000020000000000000048378057000000000000000000000000
SP29Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Muribacter;muris0000000031600000000000001400000022241851123915800000000000000
SP3Bacteria;Firmicutes;Clostridia;Eubacteriales;Peptostreptococcaceae;Romboutsia;ilealis17033000000520218700224000000000000000000700000000000000
SP30Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Sutterellaceae;Turicimonas;muris15311700000005015400360210000000000000000000000000000000
SP31Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Tannerellaceae;Parabacteroides;goldsteinii200120000030023060000039205000000000000003000212200009
SP32Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;intestinalis3171482479114554132331959910124999973638111835417014006104596557462271240856235170819966543252228110300000
SP33Bacteria;Spirochaetes;Spirochaetia;Brachyspirales;Brachyspiraceae;Brachyspira;intermedia000000000000510109000000000019892000000001929100000000000
SP34Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Blautia;hominis00000000000000000000013600000000000000000000000000
SP35Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Tannerellaceae;Parabacteroides;distasonis37705485560000002017813303823816301430006342882727000007362261459825461802030
SP36Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Adlercreutzia;caecimuris3271462135000065862160528104031000002497240400031012141601300000000
SP37Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._MOT-12832554049500001304102729310980235000000051446472866898400001837739496460618148343532429700003
SP38Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Rodentibacter;heylii000000073520130000000002641340125287191134300000001899116200000000073038244336562706
SP39Bacteria;Firmicutes;Mollicutes;Mollicutes_[O-1];Mollicutes_[F-1];Mollicutes_[G-1];bacterium_MOT-18664575052000062352360830617000000031229606000000358785014709000000
SP4Bacteria;Firmicutes;Bacilli;Lactobacillales;Carnobacteriaceae;Carnobacteriaceae_[G-1];bacterium_MOT-19800000222626518145000000000292670398461760000005571575132121000000000021460298164
SP40Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Coriobacteriaceae;Parvibacter;caecicola740700005000426080000000000009800000500140500400000
SP41Bacteria;Actinobacteria;Actinobacteria;Bifidobacteriales;Bifidobacteriaceae;Bifidobacterium;pseudolongum1986643210000000803311090247000081543010000000000000000000000000
SP42Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Bacteroidaceae;Phocaeicola;sartorii2882484341271900802116191401152880861542453747435257304517200240000161300270362015010124817068
SP43Bacteria;Actinobacteria;Actinomycetia;Corynebacteriales;Corynebacteriaceae;Corynebacterium;mastitidis00000917612362000000000081892920000002031120190000000000140018
SP45Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Muribacter;sp._MOT-14200000000262000000000000000000000075000000000000000
SP46Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;taiwanensis000093000000000001093319204000000000000000000000000000000
SP5Bacteria;Firmicutes;Erysipelotrichi;Erysipelotrichales;Erysipelotrichaceae;Erysipelotrichaceae_[G-1];bacterium_MOT-1891126372501660901040752195362947201590280517853492211112590731944172930490655173210211305312355622150575124833636601396105221179911223861040
SP50Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-1];bacterium_MOT-1591255120000000007509020000000000000000006600000083000000
SP52Bacteria;Firmicutes;Bacilli;Lactobacillales;Enterococcaceae;Enterococcus;gallinarum000000000000000000000278151517000000000000000000012921784821640
SP54Bacteria;Firmicutes;Bacilli;Lactobacillales;Lactobacillaceae;Lactobacillus;johnsonii1671989260151525061004091891221922336322186433250322315464241100171757677105033514770261529426014742398171624201238113600000
SP55Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129562128673681320019034043257171113224483723224214870501300399317211300042726106302486363402582200020120
SP56Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-3];bacterium_MOT-15019843300402601114544000230000000220014000000000005220000000
SP57Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-3];bacterium_MOT-16800707000000060200010001350360510014000005000000800120230
SP58Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;acidominimus0000000036000000000000008436140040000000108000000000000000
SP6Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-1787350140000000300470382000000000004027300001300002330000000000
SP63Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Adlercreutzia;muris000524500000102700044273710000004400251300000551201028100000000
SP64Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Erysipelatoclostridium;[Clostridium] cocleatum050031000000292601008000131540347440990000054686800114078912
SP67Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Ruminococcus;gauvreauii00000000000000000000001110000000000000000000000000
SP69Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Escherichia;fergusonii00025000000000007400000021467000029000000000000003300400
SP7Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;sp._MOT-01200000985773373039200000600068871850913547041000001331821900195120000030000383710384112911245411391
SP71Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;Escherichia;marmotae000120000000000028000000882000000000000000000000000
SP75Bacteria;Verrucomicrobia;Verrucomicrobiae;Verrucomicrobiales;Akkermansiaceae;Akkermansia;muciniphila1029521322900025081498579800739802500000030015290021976249000003401000967535727341927501200000
SP8Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-14];bacterium_MOT-185000000000330000000600000043053426000003000436165443180000000013
SP81Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;timonensis0004500000006000040094748640030000000047060000430358
SP82Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;sp._MOT-1273584390000000005003198040000002402326000002009130401400000100
SP83Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-1];bacterium_MOT-16062011400000000027046000000000000000000000000000000000
SP85Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-2];bacterium_MOT-16700026000200070006001700000152000000000000011400000000
SP89Bacteria;Firmicutes;Mollicutes;Mollicutes_[O-2];Mollicutes_[F-2];Mollicutes_[G-2];bacterium_MOT-18800000000000000000000000004637900000000096570000000040
SP9Bacteria;Firmicutes;Bacilli;Lactobacillales;Streptococcaceae;Streptococcus;danieliae0000656121510354519567488800000000084120812213300010121970152952011657408100110000000033154171166318
SP92Bacteria;Bacteroidetes;Flavobacteriia;Flavobacteriales;Weeksellaceae;Weeksellaceae_[G_1];bacterium_MOT-12600000000500000000000006047650000000000000000000003774810
SP93Bacteria;Proteobacteria;Epsilonproteobacteria;Campylobacterales;Helicobacteraceae;Helicobacter;typhlonius25318539223511120123013217881220019419027401200000190466826386554000278611561433043026650114010400000
SP94Bacteria;Proteobacteria;Gammaproteobacteria;Pasteurellales;Pasteurellaceae;Muribacter;sp._MOT-143000000008420000000000000010000005111161120850123400000000000500
SPN108Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-177_nov_95.287%00021000002905000121200000001940001100010574000000000000
SPN109Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_93.228%34910065361227548954510361123996475541269583161451293077014908096633465320902277900050153660338311601428148410411072161306191121
SPN11Bacteria;Firmicutes;Clostridia;Eubacteriales;Clostridiaceae;Butyricicoccus;pullicaecorum_nov_94.194%360545170000008003405331400000006000000000083000000000
SPN111Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Enterocloster;clostridioformis_nov_92.769%2703160322001302801800236202029000000188102116125190004429001003410202800000
SPN120Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Lawsonibacter;asaccharolyticus_nov_87.740%3360000000310003105520000000110101800000207544001000000
SPN123Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-176_nov_95.797%018048527508028028900740479177000005500009000114200041000000000
SPN131Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-3];bacterium_MOT-150_nov_94.639%90244110040170023090210400000050100800411100090520000000
SPN135Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotellamassilia;timonensis_nov_89.413%191558333000080350079404540000000001191201600010440000153522143227837320039440300000
SPN136Bacteria;Proteobacteria;Deltaproteobacteria;Desulfovibrionales;Desulfovibrionaceae;Mailhella;massiliensis_nov_91.242%1443916878000609007021613180140423286770013165000000033223116971319000410
SPN14Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_92.993%1471302721588100910494722254039231812579878085000304241351528400000117586207145600100000012
SPN142Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Gluceribacter;canis_nov_92.397%00400000000000002017000000800000000050130000004332478
SPN148Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-14];bacterium_MOT-184_nov_94.648%000625000000000004630000000000031100000000000000000000
SPN15Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_91.132%543610119880801911131709231750126600000014603311142000071978132001450000000
SPN153Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-13];bacterium_MOT-181_nov_89.824%72000001503006220000500000012702022000200301200120000000
SPN159Bacteria;Proteobacteria;Betaproteobacteria;Burkholderiales;Sutterellaceae;Parasutterella;excrementihominis_nov_96.122%274363139200000886284466026855312300000401040291300007060139072006050000
SPN163Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;shahii_nov_91.084%88272154000060470115620180000000003761092421444800001741016638224011638981300000
SPN170Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_89.552%264432172350070015055336111141451000000035672710614000002416166339400224500020
SPN174Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;putredinis_nov_95.802%4516360000006160009131100000262213400000050308400000000
SPN182Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];bacterium HMT365 nov_87.206%40329628220060503629702500132000000108744323350000017142698148231701000000
SPN185Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_89.810%0147110000000360513406000003008150000046503131000500000
SPN194Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Rikenellaceae;Tidjanibacter;massiliensis_nov_90.391%153591723324008016283316214202236161600000204515120000050138443150121500000
SPN2Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_91.701%1617231583890012004740250204394418421000000125003526200001700032600000000
SPN205Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotellamassilia;timonensis_nov_91.421%0001851070000020221060198191181610000000044000000000008800000000
SPN206Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-176_nov_94.249%0843000000001900190000000030000000000000016930000000
SPN217Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-4];bacterium_MOT-165_nov_93.034%009000000000240150011000000051220000000080170500000000
SPN218Bacteria;Bacteroidetes;Bacteroidetes_[C-1];Bacteroidetes_[O-1];Bacteroidetes_[F-1];Bacteroidetes_[G-3];bacterium HMT365 nov_87.666%11166156210198000024504143823418154165156203000202098136406000115945742026130004000
SPN219Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_90.463%028000000055323225020024300000064657112710000005234902151835631500040
SPN22Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Adlercreutzia;caecimuris_nov_92.996%122019711000001531809210900000023000000000000701500000000
SPN228Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-3];bacterium_MOT-150_nov_95.045%053243001103700700020000000921050400019000010000000000
SPN230Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_91.593%37816125370410011413868571225990680000068171644320000011132337106085500000
SPN239Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Rikenellaceae;Rikenella;microfusus_nov_93.227%100180520000000002900115000000000000000210000309000000
SPN242Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_91.542%843103800080150019219250000000025227315962000005016527544513082903000
SPN250Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;saccharolytica_nov_91.495%0001400014013004800150500000015004090001000090000000002
SPN254Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_90.231%551256750931940302240625616859135678344324376000003221106956147400010125664484748039813702603000
SPN255Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales Family XIII. Incertae Sedis;Ihubacter;massiliensis_nov_96.039%39222351940080014212222040602126008583884180000015514795400311081040
SPN261Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-14];bacterium_MOT-182_nov_90.752%00001707100540044000000000000000040001900000000000000
SPN27Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_92.271%3115510191000010471614207180010997090002801014013000004481161445195160193100000
SPN271Bacteria;Proteobacteria;Deltaproteobacteria;Desulfovibrionales;Desulfovibrionaceae;Mailhella;massiliensis_nov_91.995%22025900000000350000000000000000000000000351880000000
SPN278Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-4];bacterium_MOT-169_nov_94.441%02440167006020153900211148195051016049060944000151543975400016200000
SPN280Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-3];bacterium HMT351 nov_96.439%4634920200000668351740740029000000116957500000439394458131403000000
SPN281Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Bacteroidaceae;Bacteroides;uniformis_nov_96.825%017113661800000002040192917213392102402412177360000261004015001205005625
SPN282Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_91.090%49229824188002001534177001632069246118000009110798809816000195219910311668427244200000
SPN283Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_89.535%000000000000000000000000000354950000000000327590000000
SPN284Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_90.136%02306123002106511010000757161050009570171916000370100125008302300000
SPN285Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;putredinis_nov_96.014%383469315600000746823653153272000000981919111100000091024261483000000
SPN286Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-6];bacterium_MOT-153_nov_92.971%5888102000000320032000000000001840520000051700152011421710000000
SPN287Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-14];bacterium_MOT-185_nov_96.335%0000005112044000000000000000000001090009500000000000000
SPN288Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_91.008%5840970247366620001309121480546873135194480187403551882872201826006016522878154240295199283300000
SPN289Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;xylanophilum_nov_92.240%00013111000042000002828153780000011600000000217100017000000000
SPN290Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-178_nov_95.238%0000000000000000000000000001523700000000000014125600000
SPN291Bacteria;Actinobacteria;Coriobacteriia;Coriobacteriales;Atopobiaceae;Olsenella;massiliensis_nov_94.126%54346150000067909600692355155160000000000000000000633354780
SPN292Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_91.027%20191624150000108132802125741220000014241464220000013271817155022161400000
SPN293Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;xylanophilum_nov_91.588%0000000000000000000000000357300000000281500000000000
SPN294Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Faecalicatena;contorta_nov_92.382%00021040000000600047024230000014001410000000000016780000000
SPN295Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-4];bacterium_MOT-169_nov_95.127%1141411600600007248320172000004084000000000000000000700000
SPN296Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-10];bacterium_MOT-175_nov_91.446%03910350002209206236072901518000001814522012000230110110186921700000
SPN297Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Faecalicatena;contorta_nov_94.303%0140000000001830052018600011300000134000000103056000000011014
SPN298Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculum;intestinale_nov_93.086%01090000000000000003661000004201961810000048020212324072400000
SPN299Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_89.945%031825160000001220017272357560000052121439390000023010241980172400000
SPN300Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_93.694%1274661391273170038043157862060107292186353605080002601442431011330000011814814118697107731308700000
SPN301Bacteria;Firmicutes;Clostridia;Eubacteriales;Christensenellaceae;Christensenella;timonensis_nov_84.737%9601250000000002770900700000000013000000000042000000000
SPN302Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-12];bacterium_MOT-180_nov_95.782%8080000140668215909500800000020134500310002200158700730000000
SPN303Bacteria;Firmicutes;Clostridia;Eubacteriales;Clostridiaceae;Clostridium;swellfunianum_nov_85.704%0470047000000051070000000000308412010000001508711000234800000
SPN304Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-13];bacterium_MOT-181_nov_89.500%000650000000000070015000000000000000000000000000000
SPN305Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_90.211%01000123000003206000111551220600000105700000900041500000000
SPN306Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Mediterraneibacter;[Ruminococcus] gnavus_nov_94.433%011009700230451342003029117000001400002100041750000000000000
SPN307Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_91.126%02400170011044508002175312100000220725141300022550002914091300000
SPN308Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillibacter;valericigenes_nov_95.386%871727000502200115010200200000840407000010180551017130400000
SPN309Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-2];bacterium_MOT-162_nov_94.260%271641021025011140350630090000003727220000000019552014000000000
SPN310Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillibacter;valericigenes_nov_94.219%6011000050802570310013000000453895166000200241543000000000
SPN311Bacteria;Firmicutes;Clostridia;Clostridiales;Clostridiales_[F-1];Clostridiales_[F-1][G-1];bacterium HMT093 nov_87.886%0000000000002470000000000086910621000000042700812000000
SPN312Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_91.082%1922332500776041904841131213848310004573950150001744312728310410000311011056122000103200000
SPN313Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Odoribacteraceae;Odoribacter;splanchnicus_nov_91.442%2521405246000000028815141235180000040007300000204043080000000
SPN314Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-8];bacterium_MOT-173_nov_88.988%16216385600170800078000023000002170004460001900000600000000
SPN315Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_90.897%0300410000000200519293300000500030000000006300000000
SPN316Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_90.761%10911464300005181813413250251300000260016000000030010572200000000
SPN317Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Odoribacteraceae;Odoribacter;splanchnicus_nov_93.862%000063000003313360002462900000016720000000011611771200000000
SPN318Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-6];bacterium_MOT-171_nov_93.621%013923130090300130022048140000010000111050001062000128150700000
SPN319Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-3];bacterium_MOT-168_nov_96.845%018285390090100548000000000001623642040030000111000650010100
SPN32Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_90.642%102011000000030120280000000000107101100000002216241108000000
SPN320Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;coprostanoligenes_nov_94.861%0000000003000000000000000112980000000003212100002000000
SPN321Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_90.884%1745140000000002600241410130000020003522000000000070625700000
SPN322Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;senegalensis_nov_95.604%000000020000000000000000814026000000001414617017220000050
SPN323Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Enterocloster;bolteae_nov_93.210%0000000506001206002400000000059000000171000004214000000
SPN324Bacteria;Deferribacteres;Deferribacteres;Deferribacterales;Mucispirillaceae;Mucispirillum;schaedleri_nov_96.136%41635689000084030019678873400160003000346611190030420083028658455680004000
SPN325Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-12];bacterium_MOT-180_nov_96.794%083000014066044100110300000003671912013000308000011180000000
SPN326Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Faecalimonas;umbilicata_nov_92.686%050020000000883000106000000000007000400000000000000
SPN327Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_92.339%02440000000000000000000000000000000000000000000000
SPN328Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Roseburia;intestinalis_nov_88.569%1231010000110150118004210150000001700701500025330006000000000
SPN329Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Faecalicatena;contorta_nov_92.181%11381402100002950150290141900000024135005002822010250000000000
SPN330Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Neglectibacter;timonensis_nov_96.655%0001200000070002326620000000002200000052081731162319000002
SPN331Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_90.483%067060000000000681810957000000000000000220000700000000
SPN332Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-3];bacterium_MOT-150_nov_94.353%74012100000000300102000000000000000000000000000000000
SPN333Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;putredinis_nov_94.697%2421227200000074162140122100400317859000006001301850300000
SPN334Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Turicibacteraceae;Turicibacter;sanguinis_nov_97.503%9019000080029290036000000000000002000290131000000000000
SPN335Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Faecalimonas;umbilicata_nov_92.686%76617590000001010023091052600000800000000000000005000000
SPN336Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-3];bacterium_MOT-163_nov_85.157%02500000100000001507000000000420141000000091400001900000
SPN337Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_89.048%273154226560020014024630125823819814200000128184131210155000082071351201523061876711010100000
SPN338Bacteria;Firmicutes;Clostridia;Eubacteriales;Christensenellaceae;Christensenella;timonensis_nov_85.174%2739330000000002700000000000000000000000400830000000
SPN339Bacteria;Saccharibacteria_(TM7);Saccharibacteria_(TM7)_[C-1];Saccharibacteria_(TM7)_[O-1];Saccharibacteria_(TM7)_[F-1];Saccharibacteria_(TM7)_[G-3];bacterium HMT351 nov_95.556%00005400000000000041000000026340000000761001927010000000
SPN340Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Longibaculum;muris_nov_94.364%0118705000000000000672600000001305000001600004000001100
SPN341Bacteria;Firmicutes;Clostridia;Eubacteriales;Clostridiaceae;Beduini;massiliensis_nov_89.413%078500003000040170800000000000850000033051400019000000
SPN342Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-9];bacterium_MOT-174_nov_91.432%000000000000000000000000000021600000000000054000000
SPN343Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Absiella;tortuosum_nov_91.132%000227000000000004100000000000000000000000000000000
SPN344Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;coprostanoligenes_nov_90.870%13163550000000000032000000000000000000000000000000000
SPN345Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-7];bacterium_MOT-172_nov_91.176%000282600000000004703600000012007120000350000011250000000
SPN346Bacteria;Firmicutes;Clostridia;Eubacteriales;Clostridiaceae;Clostridium;merdae_nov_94.317%0000000000000000000231438800000000000000000000000000
SPN347Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-1];bacterium_MOT-129_nov_89.775%01700220000128900000282100000310012150000013000441080000000
SPN348Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Adlercreutzia;equolifaciens_nov_92.350%0040800008001201501591000000022179000006016133054000000000
SPN349Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;saccharolytica_nov_93.333%0000000000000001931016000004400016500000000041101300000
SPN350Bacteria;Proteobacteria;Alphaproteobacteria;Rhodospirillales;Kiloniellaceae;Kiloniella;majae_nov_86.042%0000500000000000045500000002502400000006012606600000
SPN351Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Paraeggerthella;hongkongensis_nov_90.300%400559004006490000170000009000000000000001850000000
SPN352Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;amygdalina_nov_93.968%020000000001291000004000000001900000000000070000000
SPN353Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Adlercreutzia;equolifaciens_nov_91.562%90131511000000060031005000000600000002730631700000000
SPN354Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_91.565%26383485700500000400199028000000060964590000079027001153435542500000
SPN355Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;oxidoreducens_nov_92.539%0100137000000076007030000000000050001200000000000000
SPN356Bacteria;Firmicutes;Clostridia;Eubacteriales;Clostridiaceae;Hungatella;xylanolytica_nov_94.045%000040070160000139018340000000007130001200000000000000
SPN357Bacteria;Firmicutes;Clostridia;Eubacteriales;Christensenellaceae;Christensenella;hongkongensis_nov_86.023%23218000000000330000000000018000000000000730000000000
SPN358Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;xylanophilum_nov_92.177%39059000000000004300000000000010000020000810000000050
SPN359Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculum;intestinale_nov_90.610%000034000000000000305500000700000000040000000000000
SPN360Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-10];bacterium_MOT-175_nov_89.145%90900003024007800000000000600000000000000000000000
SPN361Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-3];bacterium_MOT-150_nov_90.391%01470400001240460120000000000900000001400700000000000
SPN362Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Anaerotignum;lactatifermentans_nov_96.362%111220040000700001500600000014200500000705200000000000
SPN363Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-10];bacterium_MOT-175_nov_89.933%0000000505401000001100000002500008000600004050000000
SPN364Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-5];bacterium_MOT-170_nov_97.663%0722000000000000000000000129130200000021040002000000
SPN365Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-2];bacterium_MOT-149_nov_93.132%3044000000170012000000000000002040003120080796000000
SPN366Bacteria;Firmicutes;Clostridia;Eubacteriales;Clostridiaceae;Mordavella;massiliensis_nov_92.730%97681525875002903812433501082059200030612820130426619000162523970292253200000070
SPN367Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-4];bacterium_MOT-164_nov_97.785%11030030030000100100600000000640700000335400021000000
SPN368Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Caproiciproducens;galactitolivorans_nov_91.253%0090000001100190900000000001970000006034830000000000
SPN369Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;xylanophilum_nov_91.287%7043700000240000034051800000740001550003000010000000000
SPN370Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-14];bacterium_MOT-184_nov_96.502%99000000000000570000000000000000000500000000000000
SPN371Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Eisenbergiella;massiliensis_nov_90.373%0000500001500300402834000000000000000220000060600000
SPN372Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Lawsonibacter;asaccharolyticus_nov_94.722%3124600000050010000000000004150000000333000000000000
SPN373Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Butyribacter;intestini_nov_90.370%1301700000006600000000000000002300000000000000000000
SPN374Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;amygdalina_nov_91.078%00000003000121700003050000070012000004000008180000000
SPN375Bacteria;Proteobacteria;Alphaproteobacteria;Rhodospirillales;Kiloniellaceae;Kiloniella;laminariae_nov_86.152%0110000000000110000400000010000580000000009503200000
SPN376Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;shahii_nov_97.378%04502000000839015033800000804600000000000000004003
SPN377Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;senegalensis_nov_95.658%237113358066002104211165862301121252220221130126121533224000071857243966614152600020
SPN378Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Acutalibacter;muris_nov_97.598%60800029017002200000000000400001200011000020000000000
SPN379Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Odoribacteraceae;Odoribacter;splanchnicus_nov_94.199%1401713250000000590904144000000100110000000905027140000000
SPN38Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_93.493%0730329115000011749772212830246868030003900551280000012492141542981803200000
SPN380Bacteria;Firmicutes;Erysipelotrichia;Erysipelotrichales;Erysipelotrichaceae;Longibaculum;muris_nov_94.769%00005600000000000035700000600000000000003000000000
SPN381Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Faecalicatena;contorta_nov_95.339%020000000000038000049000000000000000000000000000000
SPN382Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-178_nov_93.568%000140008055000000000000000060012000800000000000000
SPN383Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-177_nov_94.726%000900000140520001900000004000000009380000000000000
SPN384Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-10];bacterium_MOT-175_nov_93.805%029000000012005800000000000000000000000000000000000
SPN385Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Flavonifractor;plautii_nov_93.823%000125000000018040025000000402400000740430060000000
SPN386Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_89.244%0409000000000001271015000000009000000000502402000000
SPN387Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-11];bacterium_MOT-177_nov_96.783%0600000170330040004000000000000110001830000000000000
SPN388Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;celerecrescens_nov_93.664%18182321231900800015110010120547915504000960123972000280000142488138300004
SPN389Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Muribaculaceae;Duncaniella;freteri_nov_89.222%000012000000900000015100000040005300000025003000000000
SPN390Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-10];bacterium_MOT-175_nov_89.153%0000000170420000000000000000000150001900000000000000
SPN391Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-2];bacterium_MOT-149_nov_94.574%7090000000005700000000000090000000920000000000000
SPN392Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Anaerotaenia;torta_nov_88.866%000000040370000000000000000000120003800000000000000
SPN393Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-2];bacterium_MOT-149_nov_96.149%30032000000003502006000000000000000000000070600000
SPN394Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-2];bacterium_MOT-167_nov_93.033%0000000007012000000000000051900000003700000010000000
SPN395Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-14];bacterium_MOT-183_nov_96.540%100420000000000038000000000000000000000000000000000
SPN396Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-2];bacterium_MOT-149_nov_97.730%00021000000002100000000000000130000000000510140400000
SPN397Bacteria;Firmicutes;Mollicutes;Mollicutes_[O-2];Mollicutes_[F-2];Mollicutes_[G-2];bacterium_MOT-188_nov_87.231%6024000000000100100000000000710000000300690000000020
SPN398Bacteria;Firmicutes;Clostridia;Clostridiales;Eubacteriaceae_[XV];Eubacterium;xylanophilum_nov_92.376%06500000001200007000000000000000000300000000000000
SPN399Bacteria;Firmicutes;Mollicutes;Mollicutes_[O-2];Mollicutes_[F-2];Mollicutes_[G-2];bacterium_MOT-187_nov_97.281%305030000300804000000000010120000006081340050000000
SPN400Bacteria;Firmicutes;Clostridia;Eubacteriales;Eubacteriales_[F-1];Eubacteriales_[G-1];bacterium_MOT-160_nov_97.924%7726117000000000006000000000000000000000000000000000
SPN401Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Prevotellaceae;Prevotella;sp._MOT-128_nov_91.581%0001651610000000134005180517368011000000000000000000000000000
SPN402Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lachnospiraceae_[G-10];bacterium_MOT-175_nov_89.349%00000000000000000000000000004800000000000072900000
SPN411Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Marvinbryantia;formatexigens_nov_91.655%000431700000000015730344400000000000000000000000000000
SPN43Bacteria;Proteobacteria;Deltaproteobacteria;Desulfovibrionales;Desulfovibrionaceae;Desulfovibrio;desulfuricans_nov_92.438%188422031981510034010517057802241733185210000023571401030009194718562981437204300000
SPN50Bacteria;Firmicutes;Clostridia;Eubacteriales;Defluviitaleaceae;Defluviitalea;saccharophila_nov_82.903%59411066713131116601921703490101632108560000000011067000238000000130000000
SPN54Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Rikenellaceae;Alistipes;putredinis_nov_97.032%3803300000016140801951300000014176160000050014132050000000
SPN62Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Tannerellaceae;Parabacteroides;merdae_nov_95.530%12037199527600801019707914853528721030400095372938560000622017471605237221200000
SPN65Bacteria;Firmicutes;Clostridia;Eubacteriales;Oscillospiraceae;Oscillospiraceae_[G-1];bacterium_MOT-147_nov_97.735%61011000000013480080000000001026310050000005260000000000
SPN74Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Mediterraneibacter;[Ruminococcus] gnavus_nov_94.983%107010915513100180240017401594097470001801888239391800009029308771041080102000
SPN76Bacteria;Actinobacteria;Coriobacteriia;Eggerthellales;Eggerthellaceae;Adlercreutzia;caecimuris_nov_91.655%00421800900002407082800000012571715000000300171157000000
SPN86Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_90.736%52807917952000007974181481426719843060007700292500000292201532000300000
SPN87Bacteria;Bacteroidota;Bacteroidia;Bacteroidales;Odoribacteraceae;Culturomica;massiliensis_nov_91.758%0000000400000000000000001060068000000000019000000000
SPN98Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_93.360%0013000000900007000000000051250030000078000000002000
SPN99Bacteria;Bacteroidetes;Bacteroidia;Bacteroidales;Muribaculaceae;Muribaculaceae_[G-2];bacterium_MOT-104_nov_89.252%4260781417700508012097024813098119000001214224199400001016264636164115482500000
SPP3Bacteria;Proteobacteria;Gammaproteobacteria;Enterobacterales;Enterobacteriaceae;multigenus;multispecies_spp3_200034000000000004400000023201000527000000000000003000220
SPP5Bacteria;Firmicutes;Bacilli;Bacillales;Staphylococcaceae;Staphylococcus;multispecies_spp5_2000002001138000004100000000000000026015400000000000060
SPPN4Bacteria;Cyanobacteria;Gloeobacteria;Gloeobacterales;Gloeobacteraceae;Gloeobacter;multispecies_sppn4_2_nov_83.058%0001300000000110040800000090184000000410022171280000000
SPPN6Bacteria;Cyanobacteria;Gloeobacteria;Gloeobacterales;Gloeobacteraceae;Gloeobacter;multispecies_sppn6_2_nov_83.058%92414000000000475013426000000000010208600000550012006433800000
SPPN7Bacteria;Cyanobacteria;Gloeobacteria;Gloeobacterales;Gloeobacteraceae;Gloeobacter;multispecies_sppn7_2_nov_83.225%031200001304001300000000000511700000055030162021300000
SPPN8Bacteria;Firmicutes;Clostridia;Eubacteriales;Lachnospiraceae;Lacrimispora;multispecies_sppn8_2_nov_93.191%00007005000000000790000000031900000600000000000000
 
 
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 1KO D0 FECAL vs WT D0 FECALPDFSVGPDFSVGPDFSVG
Comparison 2KO D10 FECAL vs WT D10 FECALPDFSVGPDFSVGPDFSVG
Comparison 3KO D0 ORAL vs WT D0 ORALPDFSVGPDFSVGPDFSVG
Comparison 4KO D10 ORAL vs WT D10 ORALPDFSVGPDFSVGPDFSVG
 
 

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 1KO D0 FECAL vs WT D0 FECALView in PDFView in SVG
Comparison 2KO D10 FECAL vs WT D10 FECALView in PDFView in SVG
Comparison 3KO D0 ORAL vs WT D0 ORALView in PDFView in SVG
Comparison 4KO D10 ORAL vs WT D10 ORALView 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.KO D0 FECAL vs WT D0 FECALObserved FeaturesShannon IndexSimpson Index
Comparison 2.KO D10 FECAL vs WT D10 FECALObserved FeaturesShannon IndexSimpson Index
Comparison 3.KO D0 ORAL vs WT D0 ORALObserved FeaturesShannon IndexSimpson Index
Comparison 4.KO D10 ORAL vs WT D10 ORALObserved 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 1KO D0 FECAL vs WT D0 FECALPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 2KO D10 FECAL vs WT D10 FECALPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 3KO D0 ORAL vs WT D0 ORALPDFSVGPDFSVGPDFSVGPDFSVG
Comparison 4KO D10 ORAL vs WT D10 ORALPDFSVGPDFSVGPDFSVGPDFSVG
 
 
 
 
 

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.KO D0 FECAL vs WT D0 FECALBray–CurtisCorrelationAitchison
Comparison 2.KO D10 FECAL vs WT D10 FECALBray–CurtisCorrelationAitchison
Comparison 3.KO D0 ORAL vs WT D0 ORALBray–CurtisCorrelationAitchison
Comparison 4.KO D10 ORAL vs WT D10 ORALBray–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.KO D0 FECAL vs WT D0 FECAL
Comparison 2.KO D10 FECAL vs WT D10 FECAL
Comparison 3.KO D0 ORAL vs WT D0 ORAL
Comparison 4.KO D10 ORAL vs WT D10 ORAL
 
 

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.KO D0 FECAL vs WT D0 FECAL
Comparison 2.KO D10 FECAL vs WT D10 FECAL
Comparison 3.KO D0 ORAL vs WT D0 ORAL
Comparison 4.KO D10 ORAL vs WT D10 ORAL
 
 
 

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.

 
KO D0 FECAL vs WT D0 FECAL
 
 
 
 
 
 
 
LEfSe Results for All Comparisons
 
Comparison No.Comparison Name
Comparison 1.KO D0 FECAL vs WT D0 FECAL
Comparison 2.KO D10 FECAL vs WT D10 FECAL
Comparison 3.KO D0 ORAL vs WT D0 ORAL
Comparison 4.KO D10 ORAL vs WT D10 ORAL
 
 

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 1KO D0 FECAL vs WT D0 FECALPDFSVGPDFSVGPDFSVG
Comparison 2KO D10 FECAL vs WT D10 FECALPDFSVGPDFSVGPDFSVG
Comparison 3KO D0 ORAL vs WT D0 ORALPDFSVGPDFSVGPDFSVG
Comparison 4KO D10 ORAL vs WT D10 ORALPDFSVGPDFSVGPDFSVG
 
 
B) One-way clustering - clustered on rows (organism) only
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1KO D0 FECAL vs WT D0 FECALPDFSVGPDFSVGPDFSVG
Comparison 2KO D10 FECAL vs WT D10 FECALPDFSVGPDFSVGPDFSVG
Comparison 3KO D0 ORAL vs WT D0 ORALPDFSVGPDFSVGPDFSVG
Comparison 4KO D10 ORAL vs WT D10 ORALPDFSVGPDFSVGPDFSVG
 
 
C) No clustering
Comparison No.Comparison NameFamily LevelGenus LevelSpecies Level
Comparison 1KO D0 FECAL vs WT D0 FECALPDFSVGPDFSVGPDFSVG
Comparison 2KO D10 FECAL vs WT D10 FECALPDFSVGPDFSVGPDFSVG
Comparison 3KO D0 ORAL vs WT D0 ORALPDFSVGPDFSVGPDFSVG
Comparison 4KO D10 ORAL vs WT D10 ORALPDFSVGPDFSVGPDFSVG
 
 

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

 

 

 
 

Copyright FOMC 2023