FOMC Service Report

16S rRNA Gene V1V3 Amplicon Sequencing

Version V1.1

The Forsyth Institute, Cambridge, MA, USA
March 30, 2021

Project ID: FOMC3969


I. Project Summary

Project FOMC3969 services include NGS sequencing of the V3V4 region of the 16S rRNA amplicons from the samples. First and foremost, please download this report, as well as the sequence raw data from the download links provided below. These links will expire after 60 days. We cannot guarantee the availability of your data after 60 days.

Bioinformatics analysis service was not requested, however we still provide the sequence data quality trimming, noise-filtering, pair merging, as well as chimera filtering for the sequences, using the DADA2 denoising algorithm and pipeline. The denoised, merged and chimera-free ASV (amplicon sequence variants) sequences allow you to perform downstream analyses such as taxonomy assignment, diversity analysis and differential abundance analysis. If you need us help with these downstream bioinformatics analysis please contact us.

 

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 (service not requested)
10.Bioinformatics Analysis - Alpha Diversity Analysis (service not requested)
11.Bioinformatics Analysis - Beta Diversity Analysis (service not requested)
12.Bioinformatics Analysis - Differential Abundance Analysis (service not requested)
13.Bioinformatics Analysis - Heatmap Profile (service not requested)
14.Bioinformatics Analysis - Network Association (service not requested)
 

III. NGS Sequencing

The samples were processed and analyzed with the ZymoBIOMICS® Service: Targeted Metagenomic Sequencing (Zymo Research, Irvine, CA).

DNA Extraction: If DNA extraction was performed, one of three different DNA extraction kits was used depending on the sample type and sample volume and were used according to the manufacturer’s instructions, unless otherwise stated. The kit used in this project is marked below:

ZymoBIOMICS® DNA Miniprep Kit (Zymo Research, Irvine, CA)
ZymoBIOMICS® DNA Microprep Kit (Zymo Research, Irvine, CA)
ZymoBIOMICS®-96 MagBead DNA Kit (Zymo Research, Irvine, CA)
N/A (DNA Extraction Not Performed)
Elution Volume: 50µL
Additional Notes: NA

Targeted Library Preparation: The DNA samples were prepared for targeted sequencing with the Quick-16S™ NGS Library Prep Kit (Zymo Research, Irvine, CA). These primers were custom designed by Zymo Research to provide the best coverage of the 16S gene while maintaining high sensitivity. The primer sets used in this project are marked below:

Quick-16S™ Primer Set V1-V2 (Zymo Research, Irvine, CA)
Quick-16S™ Primer Set V1-V3 (Zymo Research, Irvine, CA)
Quick-16S™ Primer Set V3-V4 (Zymo Research, Irvine, CA)
Quick-16S™ Primer Set V4 (Zymo Research, Irvine, CA)
Quick-16S™ Primer Set V6-V8 (Zymo Research, Irvine, CA)
Other: NA
Additional Notes: NA

The sequencing library was prepared using an innovative library preparation process in which PCR reactions were performed in real-time PCR machines to control cycles and therefore limit PCR chimera formation. The final PCR products were quantified with qPCR fluorescence readings and pooled together based on equal molarity. The final pooled library was cleaned up with the Select-a-Size DNA Clean & Concentrator™ (Zymo Research, Irvine, CA), then quantified with TapeStation® (Agilent Technologies, Santa Clara, CA) and Qubit® (Thermo Fisher Scientific, Waltham, WA).

Control Samples: The ZymoBIOMICS® Microbial Community Standard (Zymo Research, Irvine, CA) was used as a positive control for each DNA extraction, if performed. The ZymoBIOMICS® Microbial Community DNA Standard (Zymo Research, Irvine, CA) was used as a positive control for each targeted library preparation. Negative controls (i.e. blank extraction control, blank library preparation control) were included to assess the level of bioburden carried by the wet-lab process.

Sequencing: The final library was sequenced on Illumina® MiSeq™ with a v3 reagent kit (600 cycles). The sequencing was performed with 10% PhiX spike-in.

Absolute Abundance Quantification*: A quantitative real-time PCR was set up with a standard curve. The standard curve was made with plasmid DNA containing one copy of the 16S gene and one copy of the fungal ITS2 region prepared in 10-fold serial dilutions. The primers used were the same as those used in Targeted Library Preparation. The equation generated by the plasmid DNA standard curve was used to calculate the number of gene copies in the reaction for each sample. The PCR input volume (2 µl) was used to calculate the number of gene copies per microliter in each DNA sample.
The number of genome copies per microliter DNA sample was calculated by dividing the gene copy number by an assumed number of gene copies per genome. The value used for 16S copies per genome is 4. The value used for ITS copies per genome is 200. The amount of DNA per microliter DNA sample was calculated using an assumed genome size of 4.64 x 106 bp, the genome size of Escherichia coli, for 16S samples, or an assumed genome size of 1.20 x 107 bp, the genome size of Saccharomyces cerevisiae, for ITS samples. This calculation is shown below:

Calculated Total DNA = Calculated Total Genome Copies × Assumed Genome Size (4.64 × 106 bp) ×
Average Molecular Weight of a DNA bp (660 g/mole/bp) ÷ Avogadro’s Number (6.022 x 1023/mole)


* Absolute Abundance Quantification is only available for 16S and ITS analyses.

The absolute abundance standard curve data can be viewed in Excel here:

The absolute abundance standard curve is shown below:

Absolute Abundance Standard Curve

 

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

The raw NGS sequence data is available for download with the link provided below. The data is a compressed ZIP file and can be unzipped to individual sequence files. Since this is a pair-end sequencing, each of your samples is represented by two sequence files, one for READ 1, with the file extension “*_R1.fastq.gz”, another READ 2, with the file extension “*_R1.fastq.gz”. The files are in FASTQ format and are compressed. FASTQ format is a text-based data format for storing both a biological sequence and its corresponding quality scores. Most sequence analysis software will be able to open them. The Sample IDs associated with the R1 and R2 fastq files are listed in the table below:

Sample IDRead 1 File NameR1 Read Count
S100zr3969_100V3V4_R1.fastq.gz57686
S101zr3969_101V3V4_R1.fastq.gz64213
S102zr3969_102V3V4_R1.fastq.gz57300
S103zr3969_103V3V4_R1.fastq.gz51363
S104zr3969_104V3V4_R1.fastq.gz51194
S105zr3969_105V3V4_R1.fastq.gz45951
S106zr3969_106V3V4_R1.fastq.gz58614
S107zr3969_107V3V4_R1.fastq.gz51632
S108zr3969_108V3V4_R1.fastq.gz44778
S109zr3969_109V3V4_R1.fastq.gz49961
S010zr3969_10V3V4_R1.fastq.gz35651
S110zr3969_110V3V4_R1.fastq.gz58633
S111zr3969_111V3V4_R1.fastq.gz44310
S112zr3969_112V3V4_R1.fastq.gz49783
S113zr3969_113V3V4_R1.fastq.gz46838
S114zr3969_114V3V4_R1.fastq.gz47509
S115zr3969_115V3V4_R1.fastq.gz46061
S116zr3969_116V3V4_R1.fastq.gz53797
S117zr3969_117V3V4_R1.fastq.gz45489
S118zr3969_118V3V4_R1.fastq.gz56119
S119zr3969_119V3V4_R1.fastq.gz45726
S011zr3969_11V3V4_R1.fastq.gz31501
S120zr3969_120V3V4_R1.fastq.gz35338
S121zr3969_121V3V4_R1.fastq.gz41004
S122zr3969_122V3V4_R1.fastq.gz54573
S123zr3969_123V3V4_R1.fastq.gz44927
S124zr3969_124V3V4_R1.fastq.gz54265
S125zr3969_125V3V4_R1.fastq.gz40743
S126zr3969_126V3V4_R1.fastq.gz52825
S127zr3969_127V3V4_R1.fastq.gz50548
S128zr3969_128V3V4_R1.fastq.gz58537
S129zr3969_129V3V4_R1.fastq.gz52716
S012zr3969_12V3V4_R1.fastq.gz37072
S130zr3969_130V3V4_R1.fastq.gz56772
S131zr3969_131V3V4_R1.fastq.gz50817
S132zr3969_132V3V4_R1.fastq.gz56193
S133zr3969_133V3V4_R1.fastq.gz66032
S134zr3969_134V3V4_R1.fastq.gz66323
S135zr3969_135V3V4_R1.fastq.gz54813
S136zr3969_136V3V4_R1.fastq.gz58607
S137zr3969_137V3V4_R1.fastq.gz48068
S138zr3969_138V3V4_R1.fastq.gz51823
S139zr3969_139V3V4_R1.fastq.gz53430
S013zr3969_13V3V4_R1.fastq.gz34157
S140zr3969_140V3V4_R1.fastq.gz55720
S141zr3969_141V3V4_R1.fastq.gz47995
S142zr3969_142V3V4_R1.fastq.gz52547
S143zr3969_143V3V4_R1.fastq.gz51597
S144zr3969_144V3V4_R1.fastq.gz55689
S145zr3969_145V3V4_R1.fastq.gz50968
S146zr3969_146V3V4_R1.fastq.gz44903
S147zr3969_147V3V4_R1.fastq.gz37927
S148zr3969_148V3V4_R1.fastq.gz49600
S149zr3969_149V3V4_R1.fastq.gz47608
S014zr3969_14V3V4_R1.fastq.gz40213
S150zr3969_150V3V4_R1.fastq.gz48138
S151zr3969_151V3V4_R1.fastq.gz46628
S152zr3969_152V3V4_R1.fastq.gz52770
S153zr3969_153V3V4_R1.fastq.gz58216
S154zr3969_154V3V4_R1.fastq.gz53012
S155zr3969_155V3V4_R1.fastq.gz52276
S156zr3969_156V3V4_R1.fastq.gz51293
S157zr3969_157V3V4_R1.fastq.gz38080
S158zr3969_158V3V4_R1.fastq.gz60956
S159zr3969_159V3V4_R1.fastq.gz47558
S015zr3969_15V3V4_R1.fastq.gz31833
S160zr3969_160V3V4_R1.fastq.gz50363
S161zr3969_161V3V4_R1.fastq.gz49670
S162zr3969_162V3V4_R1.fastq.gz56932
S163zr3969_163V3V4_R1.fastq.gz50274
S164zr3969_164V3V4_R1.fastq.gz53183
S165zr3969_165V3V4_R1.fastq.gz65877
S166zr3969_166V3V4_R1.fastq.gz46466
S167zr3969_167V3V4_R1.fastq.gz39934
S168zr3969_168V3V4_R1.fastq.gz54999
S169zr3969_169V3V4_R1.fastq.gz47943
S016zr3969_16V3V4_R1.fastq.gz40929
S170zr3969_170V3V4_R1.fastq.gz44212
S171zr3969_171V3V4_R1.fastq.gz36601
S172zr3969_172V3V4_R1.fastq.gz40639
S173zr3969_173V3V4_R1.fastq.gz57180
S174zr3969_174V3V4_R1.fastq.gz52818
S175zr3969_175V3V4_R1.fastq.gz55930
S176zr3969_176V3V4_R1.fastq.gz57383
S177zr3969_177V3V4_R1.fastq.gz54514
S178zr3969_178V3V4_R1.fastq.gz63196
S179zr3969_179V3V4_R1.fastq.gz32851
S017zr3969_17V3V4_R1.fastq.gz26838
S180zr3969_180V3V4_R1.fastq.gz41633
S181zr3969_181V3V4_R1.fastq.gz66099
S182zr3969_182V3V4_R1.fastq.gz59228
S183zr3969_183V3V4_R1.fastq.gz39017
S184zr3969_184V3V4_R1.fastq.gz42880
S185zr3969_185V3V4_R1.fastq.gz41603
S186zr3969_186V3V4_R1.fastq.gz34376
S187zr3969_187V3V4_R1.fastq.gz41611
S188zr3969_188V3V4_R1.fastq.gz51972
S189zr3969_189V3V4_R1.fastq.gz46941
S018zr3969_18V3V4_R1.fastq.gz32085
S190zr3969_190V3V4_R1.fastq.gz38301
S191zr3969_191V3V4_R1.fastq.gz67451
S192zr3969_192V3V4_R1.fastq.gz68273
S193zr3969_193V3V4_R1.fastq.gz64174
S194zr3969_194V3V4_R1.fastq.gz58156
S195zr3969_195V3V4_R1.fastq.gz56109
S196zr3969_196V3V4_R1.fastq.gz42529
S197zr3969_197V3V4_R1.fastq.gz45713
S198zr3969_198V3V4_R1.fastq.gz52031
S199zr3969_199V3V4_R1.fastq.gz59612
S019zr3969_19V3V4_R1.fastq.gz24967
S001zr3969_1V3V4_R1.fastq.gz29337
S200zr3969_200V3V4_R1.fastq.gz51467
S201zr3969_201V3V4_R1.fastq.gz53096
S202zr3969_202V3V4_R1.fastq.gz57595
S203zr3969_203V3V4_R1.fastq.gz51017
S204zr3969_204V3V4_R1.fastq.gz62912
S205zr3969_205V3V4_R1.fastq.gz46372
S206zr3969_206V3V4_R1.fastq.gz47607
S207zr3969_207V3V4_R1.fastq.gz58703
S208zr3969_208V3V4_R1.fastq.gz46178
S209zr3969_209V3V4_R1.fastq.gz49425
S020zr3969_20V3V4_R1.fastq.gz26467
S210zr3969_210V3V4_R1.fastq.gz47924
S211zr3969_211V3V4_R1.fastq.gz58269
S212zr3969_212V3V4_R1.fastq.gz52294
S213zr3969_213V3V4_R1.fastq.gz47759
S214zr3969_214V3V4_R1.fastq.gz51271
S215zr3969_215V3V4_R1.fastq.gz54279
S216zr3969_216V3V4_R1.fastq.gz43200
S217zr3969_217V3V4_R1.fastq.gz42887
S218zr3969_218V3V4_R1.fastq.gz54018
S219zr3969_219V3V4_R1.fastq.gz48233
S021zr3969_21V3V4_R1.fastq.gz19069
S220zr3969_220V3V4_R1.fastq.gz46877
S221zr3969_221V3V4_R1.fastq.gz48579
S222zr3969_222V3V4_R1.fastq.gz60803
S223zr3969_223V3V4_R1.fastq.gz75296
S224zr3969_224V3V4_R1.fastq.gz47004
S225zr3969_225V3V4_R1.fastq.gz63569
S226zr3969_226V3V4_R1.fastq.gz54171
S227zr3969_227V3V4_R1.fastq.gz55287
S228zr3969_228V3V4_R1.fastq.gz77356
S229zr3969_229V3V4_R1.fastq.gz49436
S022zr3969_22V3V4_R1.fastq.gz38424
S230zr3969_230V3V4_R1.fastq.gz56393
S231zr3969_231V3V4_R1.fastq.gz57384
S232zr3969_232V3V4_R1.fastq.gz49383
S233zr3969_233V3V4_R1.fastq.gz71153
S234zr3969_234V3V4_R1.fastq.gz49111
S235zr3969_235V3V4_R1.fastq.gz54257
S236zr3969_236V3V4_R1.fastq.gz68153
S237zr3969_237V3V4_R1.fastq.gz51559
S238zr3969_238V3V4_R1.fastq.gz50031
S239zr3969_239V3V4_R1.fastq.gz36482
S023zr3969_23V3V4_R1.fastq.gz28731
S240zr3969_240V3V4_R1.fastq.gz49291
S241zr3969_241V3V4_R1.fastq.gz44366
S242zr3969_242V3V4_R1.fastq.gz49309
S243zr3969_243V3V4_R1.fastq.gz46308
S244zr3969_244V3V4_R1.fastq.gz42626
S245zr3969_245V3V4_R1.fastq.gz39535
S246zr3969_246V3V4_R1.fastq.gz46239
S247zr3969_247V3V4_R1.fastq.gz58091
S248zr3969_248V3V4_R1.fastq.gz49309
S249zr3969_249V3V4_R1.fastq.gz43365
S024zr3969_24V3V4_R1.fastq.gz34616
S250zr3969_250V3V4_R1.fastq.gz47971
S251zr3969_251V3V4_R1.fastq.gz52868
S252zr3969_252V3V4_R1.fastq.gz57570
S253zr3969_253V3V4_R1.fastq.gz50748
S254zr3969_254V3V4_R1.fastq.gz48168
S255zr3969_255V3V4_R1.fastq.gz61936
S256zr3969_256V3V4_R1.fastq.gz50791
S257zr3969_257V3V4_R1.fastq.gz54746
S258zr3969_258V3V4_R1.fastq.gz58128
S259zr3969_259V3V4_R1.fastq.gz55424
S025zr3969_25V3V4_R1.fastq.gz25009
S260zr3969_260V3V4_R1.fastq.gz60352
S261zr3969_261V3V4_R1.fastq.gz42924
S262zr3969_262V3V4_R1.fastq.gz50320
S263zr3969_263V3V4_R1.fastq.gz51439
S264zr3969_264V3V4_R1.fastq.gz40764
S265zr3969_265V3V4_R1.fastq.gz49534
S266zr3969_266V3V4_R1.fastq.gz40610
S267zr3969_267V3V4_R1.fastq.gz50476
S268zr3969_268V3V4_R1.fastq.gz65918
S269zr3969_269V3V4_R1.fastq.gz51437
S026zr3969_26V3V4_R1.fastq.gz28792
S270zr3969_270V3V4_R1.fastq.gz58627
S271zr3969_271V3V4_R1.fastq.gz60329
S272zr3969_272V3V4_R1.fastq.gz54631
S273zr3969_273V3V4_R1.fastq.gz65741
S274zr3969_274V3V4_R1.fastq.gz51977
S275zr3969_275V3V4_R1.fastq.gz54570
S276zr3969_276V3V4_R1.fastq.gz52315
S277zr3969_277V3V4_R1.fastq.gz45171
S278zr3969_278V3V4_R1.fastq.gz42346
S279zr3969_279V3V4_R1.fastq.gz22935
S027zr3969_27V3V4_R1.fastq.gz23076
S280zr3969_280V3V4_R1.fastq.gz40630
S281zr3969_281V3V4_R1.fastq.gz46606
S282zr3969_282V3V4_R1.fastq.gz37014
S283zr3969_283V3V4_R1.fastq.gz33767
S284zr3969_284V3V4_R1.fastq.gz43672
S285zr3969_285V3V4_R1.fastq.gz40662
S286zr3969_286V3V4_R1.fastq.gz44233
S287zr3969_287V3V4_R1.fastq.gz44782
S288zr3969_288V3V4_R1.fastq.gz38373
S289zr3969_289V3V4_R1.fastq.gz48221
S028zr3969_28V3V4_R1.fastq.gz30570
S290zr3969_290V3V4_R1.fastq.gz49571
S291zr3969_291V3V4_R1.fastq.gz54574
S292zr3969_292V3V4_R1.fastq.gz54601
S293zr3969_293V3V4_R1.fastq.gz49871
S294zr3969_294V3V4_R1.fastq.gz43083
S295zr3969_295V3V4_R1.fastq.gz42279
S296zr3969_296V3V4_R1.fastq.gz56385
S297zr3969_297V3V4_R1.fastq.gz45414
S298zr3969_298V3V4_R1.fastq.gz50795
S299zr3969_299V3V4_R1.fastq.gz38622
S029zr3969_29V3V4_R1.fastq.gz28089
S002zr3969_2V3V4_R1.fastq.gz34578
S300zr3969_300V3V4_R1.fastq.gz50782
S301zr3969_301V3V4_R1.fastq.gz59395
S302zr3969_302V3V4_R1.fastq.gz40517
S303zr3969_303V3V4_R1.fastq.gz44647
S304zr3969_304V3V4_R1.fastq.gz40817
S305zr3969_305V3V4_R1.fastq.gz47800
S306zr3969_306V3V4_R1.fastq.gz60196
S307zr3969_307V3V4_R1.fastq.gz39794
S308zr3969_308V3V4_R1.fastq.gz41100
S309zr3969_309V3V4_R1.fastq.gz45986
S030zr3969_30V3V4_R1.fastq.gz37150
S310zr3969_310V3V4_R1.fastq.gz44669
S311zr3969_311V3V4_R1.fastq.gz41889
S312zr3969_312V3V4_R1.fastq.gz48123
S313zr3969_313V3V4_R1.fastq.gz46459
S314zr3969_314V3V4_R1.fastq.gz44808
S315zr3969_315V3V4_R1.fastq.gz37835
S316zr3969_316V3V4_R1.fastq.gz52769
S317zr3969_317V3V4_R1.fastq.gz43577
S318zr3969_318V3V4_R1.fastq.gz44579
S319zr3969_319V3V4_R1.fastq.gz43467
S031zr3969_31V3V4_R1.fastq.gz32013
S320zr3969_320V3V4_R1.fastq.gz49868
S321zr3969_321V3V4_R1.fastq.gz52030
S322zr3969_322V3V4_R1.fastq.gz49082
S323zr3969_323V3V4_R1.fastq.gz55031
S324zr3969_324V3V4_R1.fastq.gz63518
S325zr3969_325V3V4_R1.fastq.gz53196
S326zr3969_326V3V4_R1.fastq.gz54850
S327zr3969_327V3V4_R1.fastq.gz57885
S328zr3969_328V3V4_R1.fastq.gz57875
S329zr3969_329V3V4_R1.fastq.gz60830
S032zr3969_32V3V4_R1.fastq.gz36067
S330zr3969_330V3V4_R1.fastq.gz63088
S331zr3969_331V3V4_R1.fastq.gz32616
S332zr3969_332V3V4_R1.fastq.gz43994
S333zr3969_333V3V4_R1.fastq.gz38912
S334zr3969_334V3V4_R1.fastq.gz45933
S335zr3969_335V3V4_R1.fastq.gz40273
S336zr3969_336V3V4_R1.fastq.gz41550
S337zr3969_337V3V4_R1.fastq.gz47445
S338zr3969_338V3V4_R1.fastq.gz51301
S339zr3969_339V3V4_R1.fastq.gz49303
S033zr3969_33V3V4_R1.fastq.gz26392
S340zr3969_340V3V4_R1.fastq.gz47230
S341zr3969_341V3V4_R1.fastq.gz58044
S342zr3969_342V3V4_R1.fastq.gz72338
S343zr3969_343V3V4_R1.fastq.gz56613
S034zr3969_34V3V4_R1.fastq.gz37493
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S042zr3969_42V3V4_R1.fastq.gz35692
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S009zr3969_9V3V4_R1.fastq.gz29954

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.

Raw sequence data download link:

 

VI. Analysis - DADA2 Read Processing

What is DADA2?

DADA2 is a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. DADA2 identified more real variants and output fewer spurious sequences than other methods.

DADA2’s advantage is that it uses more of the data. The DADA2 error model incorporates quality information, which is ignored by all other methods after filtering. The DADA2 error model incorporates quantitative abundances, whereas most other methods use abundance ranks if they use abundance at all. The DADA2 error model identifies the differences between sequences, eg. A->C, whereas other methods merely count the mismatches. DADA2 can parameterize its error model from the data itself, rather than relying on previous datasets that may or may not reflect the PCR and sequencing protocols used in your study.

DADA2 Publication: Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP. DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016 Jul;13(7):581-3. doi: 10.1038/nmeth.3869. Epub 2016 May 23. PMID: 27214047; PMCID: PMC4927377.

DADA2 Software Package is available as an R package at : https://benjjneb.github.io/dada2/index.html

Analysis Procedures:

DADA2 pipeline includes several tools for read quality control, including quality filtering, trimming, denoising, pair merging and chimera filtering. Below are the major processing steps of DADA2:

Step 1. Read trimming based on sequence quality The quality of NGS Illumina sequences often decreases toward the end of the reads. DADA2 allows to trim off the poor quality read ends in order to improve the error model building and pair merging performance.

Step 2. Learn the Error Rates The DADA2 algorithm makes use of a parametric error model (err) and every amplicon dataset has a different set of error rates. The learnErrors method learns this error model from the data, by alternating estimation of the error rates and inference of sample composition until they converge on a jointly consistent solution. As in many machine-learning problems, the algorithm must begin with an initial guess, for which the maximum possible error rates in this data are used (the error rates if only the most abundant sequence is correct and all the rest are errors).

Step 3. Infer amplicon sequence variants (ASVs) based on the error model built in previous step. This step is also called sequence "denoising". The outcome of this step is a list of ASVs that are the equivalent of oligonucleotides.

Step 4. Merge paired reads. If the sequencing products are read pairs, DADA2 will merge the R1 and R2 ASVs into single sequences. Merging is performed by aligning the denoised forward reads with the reverse-complement of the corresponding denoised reverse reads, and then constructing the merged “contig” sequences. By default, merged sequences are only output if the forward and reverse reads overlap by at least 12 bases, and are identical to each other in the overlap region (but these conditions can be changed via function arguments).

Step 5. Remove chimera. The core dada method corrects substitution and indel errors, but chimeras remain. Fortunately, the accuracy of sequence variants after denoising makes identifying chimeric ASVs simpler than when dealing with fuzzy OTUs. Chimeric sequences are identified if they can be exactly reconstructed by combining a left-segment and a right-segment from two more abundant “parent” sequences. The frequency of chimeric sequences varies substantially from dataset to dataset, and depends on on factors including experimental procedures and sample complexity.

Results

1. Read Quality Plots NGS sequence analysis starts with visualizing the quality of the sequencing. Below are the quality plots of the first sample for the R1 and R2 reads separately. In gray-scale is a heat map of the frequency of each quality score at each base position. The mean quality score at each position is shown by the green line, and the quartiles of the quality score distribution by the orange lines. The forward reads are usually of better quality. It is a common practice to trim the last few nucleotides to avoid less well-controlled errors that can arise there. The trimming affects the downstream steps including error model building, merging and chimera calling. FOMC uses an empirical approach to test many combinations of different trim length in order to achieve best final amplicon sequence variants (ASVs), see the next section “Optimal trim length for ASVs”.

Below is the link to a PDF file for viewing the quality plots for all samples:

2. Optimal trim length for ASVs The final number of merged and chimera-filtered ASVs depends on the quality filtering (hence trimming) in the very beginning of the DADA2 pipeline. In order to achieve highest number of ASVs, an empirical approach was used -

  1. Create a random subset of each sample consisting of 5,000 R1 and 5,000 R2 (to reduce computation time)
  2. Trim 10 bases at a time from the ends of both R1 and R2 up to 50 bases
  3. For each combination of trimmed length (e.g., 300x300, 300x290, 290x290 etc), the trimmed reads are subject to the entire DADA2 pipeline for chimera-filtered merged ASVs
  4. The combination with highest percentage of the input reads becoming final ASVs is selected for the complete set of data

Below is the result of such operation, showing ASV percentages of total reads for all trimming combinations (1st Column = R1 lengths in bases; 1st Row = R2 lengths in bases):

R1/R2281271261251241231
32142.34%54.39%54.26%54.24%54.29%54.18%
31143.40%58.15%58.00%57.96%57.87%57.81%
30143.60%57.98%58.00%58.20%58.11%58.12%
29144.37%58.53%58.60%58.74%58.92%58.74%
28144.38%58.58%58.74%59.02%59.03%58.91%
27144.49%58.78%58.89%59.13%59.26%59.06%

Based on the above result, the trim length combination of R1 = 271 bases and R2 = 241 bases (highlighted red above), was chosen for generating final ASVs for all sequences. This combination generated highest number of merged non-chimeric ASVs and was used for downstream analyses, if requested.

3. Error plots from learning the error rates After DADA2 building the error model for the set of data, it is always worthwhile, as a sanity check if nothing else, to visualize the estimated error rates. The error rates for each possible transition (A→C, A→G, …) are shown below. Points are the observed error rates for each consensus quality score. The black line shows the estimated error rates after convergence of the machine-learning algorithm. The red line shows the error rates expected under the nominal definition of the Q-score. The ideal result would be the estimated error rates (black line) are a good fit to the observed rates (points), and the error rates drop with increased quality as expected.

Forward Read R1 Error Plot


Reverse Read R2 Error Plot

The PDF version of these plots are available here:

 

4. DADA2 Result Summary The table below shows the summary of the DADA2 analysis, tracking paired read counts of each samples for all the steps during DADA2 denoising process - including end-trimming (filtered), denoising (denoisedF, denoisedF), pair merging (merged) and chimera removal (nonchim).

Sample IDF3969.S001F3969.S002F3969.S003F3969.S004F3969.S005F3969.S006F3969.S007F3969.S008F3969.S009F3969.S010F3969.S011F3969.S012F3969.S013F3969.S014F3969.S015F3969.S016F3969.S017F3969.S018F3969.S019F3969.S020F3969.S021F3969.S022F3969.S023F3969.S024F3969.S025F3969.S026F3969.S027F3969.S028F3969.S029F3969.S030F3969.S031F3969.S032F3969.S033F3969.S034F3969.S035F3969.S036F3969.S037F3969.S038F3969.S039F3969.S040F3969.S041F3969.S042F3969.S043F3969.S044F3969.S045F3969.S046F3969.S047F3969.S048F3969.S049F3969.S050F3969.S051F3969.S052F3969.S053F3969.S054F3969.S055F3969.S056F3969.S057F3969.S058F3969.S059F3969.S060F3969.S061F3969.S062F3969.S063F3969.S064F3969.S065F3969.S066F3969.S067F3969.S068F3969.S069F3969.S070F3969.S071F3969.S072F3969.S073F3969.S074F3969.S075F3969.S076F3969.S077F3969.S078F3969.S079F3969.S080F3969.S081F3969.S082F3969.S083F3969.S084F3969.S085F3969.S086F3969.S087F3969.S088F3969.S089F3969.S090F3969.S091F3969.S092F3969.S093F3969.S094F3969.S095F3969.S096F3969.S097F3969.S098F3969.S099F3969.S100F3969.S101F3969.S102F3969.S103F3969.S104F3969.S105F3969.S106F3969.S107F3969.S108F3969.S109F3969.S110F3969.S111F3969.S112F3969.S113F3969.S114F3969.S115F3969.S116F3969.S117F3969.S118F3969.S119F3969.S120F3969.S121F3969.S122F3969.S123F3969.S124F3969.S125F3969.S126F3969.S127F3969.S128F3969.S129F3969.S130F3969.S131F3969.S132F3969.S133F3969.S134F3969.S135F3969.S136F3969.S137F3969.S138F3969.S139F3969.S140F3969.S141F3969.S142F3969.S143F3969.S144F3969.S145F3969.S146F3969.S147F3969.S148F3969.S149F3969.S150F3969.S151F3969.S152F3969.S153F3969.S154F3969.S155F3969.S156F3969.S157F3969.S158F3969.S159F3969.S160F3969.S161F3969.S162F3969.S163F3969.S164F3969.S165F3969.S166F3969.S167F3969.S168F3969.S169F3969.S170F3969.S171F3969.S172F3969.S173F3969.S174F3969.S175F3969.S176F3969.S177F3969.S178F3969.S179F3969.S180F3969.S181F3969.S182F3969.S183F3969.S184F3969.S185F3969.S186F3969.S187F3969.S188F3969.S189F3969.S190F3969.S191F3969.S192F3969.S193F3969.S194F3969.S195F3969.S196F3969.S197F3969.S198F3969.S199F3969.S200F3969.S201F3969.S202F3969.S203F3969.S204F3969.S205F3969.S206F3969.S207F3969.S208F3969.S209F3969.S210F3969.S211F3969.S212F3969.S213F3969.S214F3969.S215F3969.S216F3969.S217F3969.S218F3969.S219F3969.S220F3969.S221F3969.S222F3969.S223F3969.S224F3969.S225F3969.S226F3969.S227F3969.S228F3969.S229F3969.S230F3969.S231F3969.S232F3969.S233F3969.S234F3969.S235F3969.S236F3969.S237F3969.S238F3969.S239F3969.S240F3969.S241F3969.S242F3969.S243F3969.S244F3969.S245F3969.S246F3969.S247F3969.S248F3969.S249F3969.S250F3969.S251F3969.S252F3969.S253F3969.S254F3969.S255F3969.S256F3969.S257F3969.S258F3969.S259F3969.S260F3969.S261F3969.S262F3969.S263F3969.S264F3969.S265F3969.S266F3969.S267F3969.S268F3969.S269F3969.S270F3969.S271F3969.S272F3969.S273F3969.S274F3969.S275F3969.S276F3969.S277F3969.S278F3969.S279F3969.S280F3969.S281F3969.S282F3969.S283F3969.S284F3969.S285F3969.S286F3969.S287F3969.S288F3969.S289F3969.S290F3969.S291F3969.S292F3969.S293F3969.S294F3969.S295F3969.S296F3969.S297F3969.S298F3969.S299F3969.S300F3969.S301F3969.S302F3969.S303F3969.S304F3969.S305F3969.S306F3969.S307F3969.S308F3969.S309F3969.S310F3969.S311F3969.S312F3969.S313F3969.S314F3969.S315F3969.S316F3969.S317F3969.S318F3969.S319F3969.S320F3969.S321F3969.S322F3969.S323F3969.S324F3969.S325F3969.S326F3969.S327F3969.S328F3969.S329F3969.S330F3969.S331F3969.S332F3969.S333F3969.S334F3969.S335F3969.S336F3969.S337F3969.S338F3969.S339F3969.S340F3969.S341F3969.S342F3969.S343Row SumPercentage
input29,33734,57828,94632,51427,13034,73728,58237,16829,95435,65131,50137,07234,15740,21331,83340,92926,83832,08524,96726,46719,06938,42428,73134,61625,00928,79223,07630,57028,08937,15032,01336,06726,39237,49331,09330,99133,13734,72635,24834,91836,17935,69233,95437,43333,82638,92631,50037,05223,48222,93021,27721,41021,04026,46423,66928,25130,50533,94531,99530,46833,13134,88339,68435,68728,13734,28127,74861,72029,65134,59931,28533,79629,61531,15722,28226,84823,77031,93424,66530,25629,27232,74629,91132,48126,72237,85926,05937,17329,91938,49528,19538,78228,48138,32159,23962,65166,42148,21046,98457,68664,21357,30051,36351,19445,95158,61451,63244,77849,96158,63344,31049,78346,83847,50946,06153,79745,48956,11945,72635,33841,00454,57344,92754,26540,74352,82550,54858,53752,71656,77250,81756,19366,03266,32354,81358,60748,06851,82353,43055,72047,99552,54751,59755,68950,96844,90337,92749,60047,60848,13846,62852,77058,21653,01252,27651,29338,08060,95647,55850,36349,67056,93250,27453,18365,87746,46639,93454,99947,94344,21236,60140,63957,18052,81855,93057,38354,51463,19632,85141,63366,09959,22839,01742,88041,60334,37641,61151,97246,94138,30167,45168,27364,17458,15656,10942,52945,71352,03159,61251,46753,09657,59551,01762,91246,37247,60758,70346,17849,42547,92458,26952,29447,75951,27154,27943,20042,88754,01848,23346,87748,57960,80375,29647,00463,56954,17155,28777,35649,43656,39357,38449,38371,15349,11154,25768,15351,55950,03136,48249,29144,36649,30946,30842,62639,53546,23958,09149,30943,36547,97152,86857,57050,74848,16861,93650,79154,74658,12855,42460,35242,92450,32051,43940,76449,53440,61050,47665,91851,43758,62760,32954,63165,74151,97754,57052,31545,17142,34622,93540,63046,60637,01433,76743,67240,66244,23344,78238,37348,22149,57154,57454,60149,87143,08342,27956,38545,41450,79538,62250,78259,39540,51744,64740,81747,80060,19639,79441,10045,98644,66941,88948,12346,45944,80837,83552,76943,57744,57943,46749,86852,03049,08255,03163,51853,19654,85057,88557,87560,83063,08832,61643,99438,91245,93340,27341,55047,44551,30149,30347,23058,04472,33856,61315,591,941100.00%
filtered26,40031,44026,21729,88423,53331,10524,93233,02627,56632,38228,55333,18031,58136,30528,68236,46524,57829,11022,09823,62316,45134,87324,98730,72422,69026,27720,69127,60325,46133,77828,74832,20423,38334,07028,25927,84930,27031,23331,70331,63732,38832,64130,78434,29730,46035,09527,19033,28321,29820,74019,07619,35118,94724,00421,48225,39426,98130,52828,66327,08029,63329,91736,06631,70224,97830,80224,52155,60226,91930,62227,94830,06926,83328,53719,69123,72521,27028,73421,77726,91426,23929,79527,05029,64324,02334,47923,08433,53726,69934,54725,57735,19425,54234,67452,18056,30859,02341,50842,55751,00858,32550,76145,25945,09139,98052,35346,25439,80044,80953,01139,00043,51341,04041,88040,68948,35739,80650,18740,56430,14235,05147,97939,80747,93835,36047,29244,28350,97346,10349,57844,41449,57158,98159,47748,15552,75941,44343,18947,63549,13341,20946,08045,95449,85644,83438,34632,41443,97542,37741,81940,54647,00252,85148,02346,38544,60532,53855,37242,29945,85942,97851,25346,00347,86958,66240,53534,82649,61042,72038,37233,35935,36451,10847,02149,92750,79947,74356,46127,39835,69759,08652,12834,52538,56337,17430,37737,44346,62941,67334,15559,64661,05557,53552,42849,25536,19440,53145,59752,35545,87747,87251,23645,55855,93940,52741,42751,46140,98544,23042,82552,02646,25642,55946,19347,35338,23737,57348,66342,21741,20542,17554,42567,75541,04256,10949,14848,28769,39544,86350,25251,00543,17665,16644,97849,05460,90946,03144,78432,24343,34140,41243,16339,85538,55835,22641,59251,05444,86439,08942,09247,10051,96344,89542,75454,57344,76048,60052,78450,05054,04938,04744,90945,88135,29044,14336,60244,76759,05446,58152,31952,41047,62159,44447,51947,33146,26540,43438,31619,26636,24041,46633,65429,58838,87135,72638,85540,35834,42242,45343,74148,39149,42444,00138,55836,71250,91840,88544,68134,12945,40152,95836,35439,08336,56641,62053,58035,72635,73240,47340,17936,97441,81341,40439,10934,02747,23639,02939,28638,81144,97145,27543,14249,04656,94148,24348,85351,53551,57554,71555,89428,15339,34934,26241,48636,04836,85542,57145,77242,72841,71051,34864,80950,21713,870,42188.96%
denoisedF25,60129,92425,83329,68822,73929,61323,99432,12427,23831,82827,20532,04231,07935,20027,18935,05723,44427,75721,19521,95516,19733,46924,18429,15721,39225,03819,83226,33723,80132,77427,95330,48422,58433,44127,45726,32029,12229,65230,40330,06430,99931,56430,30733,62629,14833,40026,75932,56020,56919,90618,18718,48218,06423,32720,64724,35725,91929,98126,92126,06628,92628,23035,53830,47023,12529,53823,36253,64426,62829,05126,17829,30326,34327,46119,20923,11419,91527,60420,37526,01624,72229,30126,41027,98023,76334,27622,57932,88925,22733,26324,49733,30124,23033,52749,81155,26256,20540,26841,85848,51157,65250,21542,61943,02138,07750,75443,51338,39843,08452,28737,76040,94139,01639,67038,83447,07437,87349,07639,50029,49134,37945,21338,07845,61033,22045,19542,13149,60344,25746,97741,86746,67958,08757,55446,48550,74340,09140,64145,63946,87839,31844,09144,99447,75342,58736,72530,87642,48240,16239,53239,16745,87652,16845,93944,89943,49731,19854,55140,65644,89142,00750,36645,35346,34258,23639,77933,44049,07640,64236,59932,94033,88750,04245,89448,16949,65045,73255,07526,03834,34958,58349,70133,43036,81535,47329,62934,90445,15739,57833,06057,97258,74255,76650,59947,17635,40538,57144,39550,66944,10546,20548,83544,24652,66438,64039,89949,19039,99242,15540,58150,19244,41242,03644,81545,74837,39436,40446,92840,36839,80939,96452,75766,72639,53453,84147,56147,21768,62143,44447,99849,88341,95164,80843,67747,56958,74244,49743,65131,39441,02840,32541,64538,69137,43834,02140,68449,14844,29838,05341,07945,29250,05042,84041,36552,03643,38048,16052,38448,77352,30737,23242,66445,01134,08742,71835,33844,08956,41145,16150,35251,20045,51357,94346,26045,37544,95538,16137,26018,51834,97340,04532,55728,55037,30134,59138,10139,25233,67041,28842,18847,06748,00842,74537,42535,41850,40739,85643,52033,02344,12851,82135,60938,06535,82040,08152,17934,35234,25839,08339,16335,62140,18140,90538,66432,99545,87337,73438,29937,52443,51243,85541,34247,76255,81147,05246,99450,06550,12553,81354,79527,57337,90732,91940,58535,74234,90840,91545,26441,17439,40049,60563,08849,53013,407,62485.99%
denoisedR25,71030,20325,97929,38322,68330,09124,02532,20326,80331,69427,92432,07731,21235,06227,78035,26023,69727,64221,37822,66816,34133,79424,12129,69322,07925,46419,95326,42424,42232,68527,80731,28622,68133,13427,48527,06729,60929,85530,23930,30731,32531,31029,73133,36729,19133,77326,71132,07120,36919,91418,28918,59718,10223,38020,37624,43926,02629,57127,36226,17029,11928,73935,41930,23324,10829,60823,66954,18926,43329,46527,02029,11925,95927,38618,93123,30020,50427,43121,08126,20125,44429,29526,18828,27423,76734,06222,71333,09325,71333,39124,65633,70424,30133,35850,29454,54257,29540,38841,95749,10457,86650,05743,60843,69538,39650,82344,31538,67743,90950,70637,87442,31839,21140,48439,26447,14738,15749,48539,74129,15834,44346,01438,17146,18734,15145,55542,97449,76944,69547,78143,01348,08757,79657,36146,69751,09440,25940,49146,27347,22639,57044,29245,22948,11943,39037,09931,15342,71340,48040,31139,27246,21051,86146,55744,53143,62531,57454,54640,70844,66841,78850,12645,26346,20157,98839,74233,44448,94741,43637,01033,19734,14950,33745,91948,53849,71545,83654,77026,58134,42158,00249,96833,25736,99835,68729,39436,02845,47840,12732,84558,56858,66956,21950,76647,29535,06039,44143,97450,70444,69246,15349,62044,29053,83339,28940,13549,66240,12542,53441,16049,99144,53341,35345,09946,15536,92436,39047,19440,40439,69940,59753,26366,84339,85753,97148,24547,26268,24944,20948,74649,45042,16264,43944,23247,98758,91444,94643,39831,73941,58640,32741,98038,45737,81834,26440,92149,26844,59338,36440,73745,81950,03143,80441,15052,86543,81548,25551,91148,92152,24236,62643,00244,58434,49742,46935,70744,24356,90945,24651,30450,66746,34558,39146,85146,13145,13739,11736,73618,74135,36340,07232,87528,86237,72234,26137,95539,38133,75141,34942,33347,10348,56542,62637,39535,68750,33940,28043,31533,38244,34152,10935,69337,86235,70740,24351,68234,85434,72239,00039,54536,00140,29040,76138,85233,32146,14238,23238,16837,48343,59543,95541,29147,59455,60947,11947,24749,89849,86753,53254,42927,35938,29333,03940,66635,32035,52540,91844,97441,23140,47549,37763,84048,97413,469,49786.39%
merged24,23228,02925,41328,88220,57828,12122,12831,12125,70230,26425,80430,54530,38133,87525,51133,49021,40725,93119,22019,07415,64231,83422,53526,34719,00823,43018,12523,86622,02531,54726,47828,46820,86732,13626,47224,31627,90427,42328,85227,54427,88828,77129,21032,47426,55831,28025,92330,02019,05718,52116,70016,91516,76922,24718,63322,40624,16027,78925,14723,27828,18525,12833,30427,92620,49227,55421,12551,08626,08826,51524,67627,64225,12525,41818,03721,84418,04625,67418,30524,53922,35128,16424,97325,30123,48033,74821,85232,17922,64931,48723,12330,42621,89530,53045,26052,43053,72437,35340,92143,82556,68349,32638,63840,57934,38646,59840,48035,99540,64347,91335,41437,39335,81636,69835,68345,12733,99147,12737,63427,86533,18742,65535,89843,26229,29342,80838,43347,05442,09542,08538,80642,87856,60554,15543,62447,25037,36438,38043,00741,86335,75240,31244,10545,16538,89034,58027,82940,92337,61635,32236,80343,47650,18643,55741,46040,66129,69353,28136,72042,74839,59448,29442,71843,92557,43838,22130,37548,14937,67533,21132,78831,62848,93344,07443,71946,94341,41852,38224,18931,87257,49944,93730,26534,04832,33728,08932,51242,80837,29930,89455,58054,35453,54047,00943,52733,96536,62542,03048,03141,46543,33545,40841,77748,77135,14937,38045,02438,41739,28936,75347,25640,37440,36742,31343,10335,13434,14744,65837,58237,25336,52550,05564,39937,59449,56744,74945,26666,54340,40544,38746,73240,01563,38040,83543,53054,29042,11441,56129,70237,08740,30939,41936,33734,78431,26238,85844,19843,26835,75238,00441,61346,56841,19939,10848,03541,64647,14351,05245,51847,29334,15539,30843,08832,75238,90433,03243,29551,56641,97447,51047,59942,54556,41643,39141,60242,07135,46834,80816,80832,69737,92129,81926,81534,60232,53036,52836,19131,68638,87839,44645,05245,03440,52634,93933,15249,60737,46740,14230,75942,57150,51833,22435,61533,36635,79549,71432,23732,06636,21236,82933,08236,88439,64138,01331,00242,76635,18935,86035,01740,66641,19637,66944,58153,56044,06643,71347,53646,35051,53351,76126,19435,76329,77239,20334,39031,56336,88043,86137,09436,68046,23361,43047,59512,587,34880.73%
nonchim6,0037,1793,1513,0804,7237,0935,5375,8053,0856,6018,5196,0334,5016,3497,2696,6326,3945,8865,5569,1443,4987,2124,48410,2887,0008,7328,0016,06010,0635,9855,58712,1776,7614,7183,9588,9548,4939,8696,6039,3649,1166,4234,2246,6046,9077,8233,4124,8283,5775,5935,4344,5875,0824,4844,9738,2115,7903,4206,3126,6145,4038,9873,9954,9818,72710,1838,3758,6862,58510,22210,7446,2173,6375,0913,4425,4007,9935,2618,0776,3458,0505,0566,0028,7624,0633,2864,5825,9189,5006,3925,9097,3775,4247,66314,8706,23710,9737,4375,85214,6346,3902,90215,71913,84710,4665,6089,3538,37510,3344,7176,89912,3128,51410,12114,1448,46411,3656,7556,3335,0525,5179,0778,2609,44410,6587,85211,7219,2485,73415,69715,43415,7938,6898,63413,5138,6637,2607,20610,47410,24010,87210,9096,1739,68118,3708,8689,2426,6277,37314,3077,17310,1375,4089,4079,6047,2347,5586,3839,2036,3787,1946,3828,1067,0764,4877,0598,5276,77111,20110,1166,11010,1277,8238,61412,4879,13214,6386,3367,3617,4804,82511,8208,2887,7397,9724,85711,6698,1748,5227,90710,39713,9847,3207,65012,5415,1149,2776,9778,89711,1047,12513,53510,50914,96710,8138,85015,3076,9658,72113,6388,23311,0674,6429,99212,7026,8759,73910,7567,1529,5937,91811,3527,7317,30112,67510,9299,9465,1756,59513,6247,86410,0634,2666,59010,55112,7807,7445,0294,01514,6483,01911,1317,6996,7938,0996,44213,3031,6046,9349,05610,5627,37911,3999,00115,7198,7276,9465,5518,96610,8027,69611,6955,5986,54811,7948,5775,91411,2087,36311,9947,57913,2797,3407,83812,1647,53614,2855,1782,7949,4367,3106,8656,2168,7336,2005,4258,5645,25510,30311,96110,3809,68110,3237,4757,5315,6027,8759,5746,6439,3417,3695,6069,1146,17011,3088,5978,03710,6505,8857,24611,08710,5376,1706,7245,3139,5498,3746,3176,0228,48610,6209,41710,9026,1935,89812,2708,69711,5136,9398,4013,9848,6798,1135,4124,22313,13012,3425,15910,48911,5219,8588,5946,3942,803,34217.98%

This table can be downloaded as an Excel table below:

 

5. DADA2 Amplicon Sequence Variants (ASVs). A total of 59050 unique merged and chimera-free ASV sequences were identified, and their corresponding read counts for each sample are available in the "ASV Read Count Table" with rows for the ASV sequences and columns for sample. This read count table can be used for microbial profile comparison among different samples and the sequences provided in the table can be used to taxonomy assignment.

 

The table can be downloaded from this link:

 
 
 
 

VII. Analysis - Read Taxonomy Assignment

 
Service not requested
 

VIII. Analysis - Alpha Diversity

 
Service not requested
 

IX. Analysis - RBeta Diversity

 
Service not requested
 

X. Analysis - Differential Abundance

 
Service not requested
 

XI. Analysis - Heatmap Profile

 
Service not requested
 

XII. Analysis - Network Association

 
Service not requested
 

Copyright FOMC 2021