README.Rmd

HollyArnold 2022-11-08

Scientific Objectives

Generation of microbial features of the cross sectional analysis

The Bighorn grant produced roughly three phases of sample events:

  1. “Cross sectional study”: Sheep were brought into basecamp and samples were collected including a single 16S and 18S sample. Diverse metadata was also collected on these sheep (see below for a list of compilation of collected metadata parameters). Following sampling of microbiome, the sheep at basecamp were collared, and their location was followed over time. Field samples were also collected and genetic markers were used to identify how samples mapped to individuals. The samples collected from field samples of bighorn sheep may or may not be collared or have been caputred at basecamp. In order to link these two studies together, a “sample integrity” experiment was carried out where fresh fecal samples were sampled over time if left exposed to the elements.

  2. “Longitudinal study”: Sheep were sampled for a target of 9 times and at each timepoint, microbiome data was collected.

  3. “Parasitic intervention study”: Sheep were captured and the microbiome was measured before and after an antiparasitic medication was given.

This document will describe analysis of the first microbiome samples from the cross sectional study above.

Amplicon Sequencing Varient (ASV) processing of all cross sectional samples allows for unified comparison across samples.

All samples for the sample integrity project, field samples, as well as basecamp samples were processed together to determine ASV content. By processing ASVs together, we will be able to compare any ASVs that of interest between studies. ASVs for the sample integrity project will be split off after determination of ASVs and cladal analysis will not be performed on these now. The remaining two projects (field samples and basecamp samples) were are split into two projects and they will be processed separately to (1) determine if there are samples that should be removed due to low numbers of sequences and (2) determine appropriate rarefaction methods.

Sequencing file description

Some statistics of the files that we have for the cross sectional analysis. In the event that two extraction steps were performed per sample (i.e. a technical duplicate) the sample with the largest number of sequences was kept for all further analysis. The sample with the lower amount of sequences was excluded from all further analysis.

16S Sequences

16S raw fastQ files 446 samples = 892 files Number of duplicated 16S sequences 4 samples = 8 files Number of unique animal IDs 442 samples = 884 files Number of samples post technical filter 442 samples = 884 files

18S Sequences

18S raw fastQ files 445 samples = 890 files Number of duplicated 16S sequences 3 samples = 6 files Number of unique animal IDs 442 samples = 884 samples

Determination of parameters for Amplicon Sequencing Variants

In order to determine how dada2 parameters impacted unqiue ASVs of each project, I did a parameter sweep here to determine how trim length inpacts the number of unique ASVs retained for each project and overall. Numbers in parenthasis for Basecamp ASVs, Field ASVs and Integrity ASVs columns represent the number of ASVs retained after excluding ASVs that occur <= 5 times.

FWD_TRIM REV_TRIM EE N_ASVs Mean (min - max) ASVs Retained Basecamp ASVs Field ASVs Integrity ASVs screen
250 200 2,2 9943 62% (52 - 71) 9476 (8230) 9618 (8744) 8152 (6349) case1darwin
200 150 2,2 40741 71% (60 - 83%) 24900 (9872) 26992 (10929) 20318 (7329) case2
250 200 0,0 0 0% (0 - 0) 0 0 0 case3
200 150 0,0 0 0 (0 - 0) 0 0 0 case4
225 175 2,2 14007 67% (56 - 78) 11563 (8452) 11962 (8935) 9701 (6412) case5

Determination of Amplicon Sequencing Variants (ASVs)

“Universal” 16S sequencing primers were utilized from the Earth Microbiome Project 16S Illumina Amplicon Protocol. Forward (5’-GTGYCAGCMGCCGCGGTAA-3’) and reverse primers (5’-GGACTACNVGGGTWTCTAAT-3’) amplified the V4 hypervariable region.

ASVs were determined using the Divisive Amplicon Denoising ALgorith (DADA2; version 1.22.0) pipeline in R (Bird Hippie; version 4.1.2). A forward primer and reverse reverse-complement primer were trimmed off the forward reads and the the reverse and forward-reverse complement were trimmed from the reverse reads using cutadapt (version 4.1).

Forward reads were trimmed at 250 basepairs and reverse reads were trimmed at 200 basepairs after examining quality scores and removing reads with any ambiguous bases. Convergent error model parameterization and sample inference was estimated for forward and reverse reads. Paired ends were merged, and chimeras were excluded.

The following quality plots show the overall statistics for all samples of the cross sectional analysis considered.

A note for those reading this document on the GitLab page: Please see README.pdf for these following plots as they don’t render correctly on GitLab, but they do on the PDF file. These are ugly plots that are automatically generated. Note that you can make your own plots from data that look prettier if desired from data/dada2_processing/bighorn_2023-02-07_output_dada2Run.RData.

rsync -avz /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep/dada2.out/16S/bighorn_2023-02-07_output/ /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep/population_structure_of_the_immunomicrobiome/data/dada2_processing/

cp params16S.txt /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep/population_structure_of_the_immunomicrobiome/data/dada2_processing/

The forward error rates:

The reverse error rates:

Collector’s curves:

Heatmap of numbers of sequences kept at each step. Most are removed during quality filtering after cutting off primers.

The read depth distribution of all samples

The read length distribution of all samples. As expected most ASVs are of similar length. There are some longer than expected ASVs that might have merged incorrectly or are likely eukaryotic contamination that should be filtered out by the user before proceeding with ASVs.

Look for the presence of primers present in the first 10 files pre cut. As can be seen there is signifcaint read through of the reverse complement of the forward primer in the reverse reads and the reverse compliment of the reverse primer in the forward reads. This is common since CQLS doesn’t look for the read through of any primers or adapters at the end of reads.

pwd
head -n 70 data/dada2_processing/initialPrimers.txt
## /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep/population_structure_of_the_immunomicrobiome
## [1] 1
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s003-index-TGACTAATGGCC-TS032-16S-1-C1_S3_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0    7535
## REV.ForwardReads       0          0       0   15976
## REV.ReverseReads       0          0       0       0
## [1] 2
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s004-index-GTGGAGTCTCAT-TS032-16S-1-D1_S4_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0    7438
## REV.ForwardReads       0          0       0   17446
## REV.ReverseReads       0          0       0       0
## [1] 3
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s005-index-TGATGTGCTAAG-TS032-16S-1-E1_S5_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0   12007
## REV.ForwardReads       0          0       0   27592
## REV.ReverseReads       0          0       0       0
## [1] 4
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s006-index-TGTGCACGCCAT-TS032-16S-1-F1_S6_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0   11470
## REV.ForwardReads       0          0       0   25932
## REV.ReverseReads       0          0       0       0
## [1] 5
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s007-index-GGTGAGCAAGCA-TS032-16S-1-G1_S7_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0   12999
## REV.ForwardReads       0          0       0   30671
## REV.ReverseReads       0          0       0       0
## [1] 6
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s008-index-CTATGTATTAGT-TS032-16S-1-H1_S8_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0   22972
## REV.ForwardReads       0          0       0   50955
## REV.ReverseReads       0          0       0       0
## [1] 7
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s011-index-CGGGACACCCGA-TS032-16S-1-C2_S11_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0    6929
## REV.ForwardReads       0          0       0   15887
## REV.ReverseReads       0          0       0       0
## [1] 8
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s012-index-ACCTTACACCTT-TS032-16S-1-D2_S12_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0   10104
## REV.ForwardReads       0          0       0   22056
## REV.ReverseReads       0          0       0       0
## [1] 9
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s013-index-GTAGTAGACCAT-TS032-16S-1-E2_S13_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0   10273
## REV.ForwardReads       0          0       0   23259
## REV.ReverseReads       0          0       0       0
## [1] 10
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s014-index-CCGGACAAGAAG-TS032-16S-1-F2_S14_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0    7589
## REV.ForwardReads       0          0       0   17116
## REV.ReverseReads       0          0       0       0

Look for the presence of primers present in the first 10 files post cut. Our cut adapt worked to trim these off!

pwd
head -n 70 data/dada2_processing/cutPrimers.txt
## /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep/population_structure_of_the_immunomicrobiome
## [1] 1
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s003-index-TGACTAATGGCC-TS032-16S-1-C1_S3_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 2
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s004-index-GTGGAGTCTCAT-TS032-16S-1-D1_S4_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 3
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s005-index-TGATGTGCTAAG-TS032-16S-1-E1_S5_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 4
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s006-index-TGTGCACGCCAT-TS032-16S-1-F1_S6_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 5
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s007-index-GGTGAGCAAGCA-TS032-16S-1-G1_S7_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 6
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s008-index-CTATGTATTAGT-TS032-16S-1-H1_S8_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 7
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s011-index-CGGGACACCCGA-TS032-16S-1-C2_S11_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 8
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s012-index-ACCTTACACCTT-TS032-16S-1-D2_S12_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 9
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s013-index-GTAGTAGACCAT-TS032-16S-1-E2_S13_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0
## [1] 10
## [1] "/nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s014-index-CCGGACAAGAAG-TS032-16S-1-F2_S14_R1_001.fastq.gz"
##                  Forward Complement Reverse RevComp
## FWD.ForwardReads       0          0       0       0
## FWD.ReverseReads       0          0       0       0
## REV.ForwardReads       0          0       0       0
## REV.ReverseReads       0          0       0       0

Look at the first bit of cut adapt for the first file. As can be seen, most of the sequences trimmed off were around 48 base pairs. All reads passed cutting of primers.

pwd
head -n 270 data/dada2_processing/cutAdaptOutput.txt 
## /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep/population_structure_of_the_immunomicrobiome
## 
## ### This is cutadapt 2.6 with Python 3.7.12
## 
## 
## ### Command line parameters: -g GTGYCAGCMGCCGCGGTAA -a ATTAGAWACCCBNGTAGTCC -G GGACTACNVGGGTWTCTAAT -A TTACCGCGGCKGCTGRCAC -n 2 -m 1 -j 100 -e 0.1 -o /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s003-index-TGACTAATGGCC-TS032-16S-1-C1_S3_R1_001.fastq.gz -p /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s003-index-TGACTAATGGCC-TS032-16S-1-C1_S3_R2_001.fastq.gz /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s003-index-TGACTAATGGCC-TS032-16S-1-C1_S3_R1_001.fastq.gz /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s003-index-TGACTAATGGCC-TS032-16S-1-C1_S3_R2_001.fastq.gz
## 
## 
## ### Processing reads on 100 cores in paired-end mode ...
## 
## 
## ### Finished in 7.16 s (366 us/read; 0.16 M reads/minute).
## 
## 
## ### 
## 
## 
## ### === Summary ===
## 
## 
## ### 
## 
## 
## ### Total read pairs processed:             19,550
## 
## 
## ###   Read 1 with adapter:                  18,213 (93.2%)
## 
## 
## ###   Read 2 with adapter:                  12,903 (66.0%)
## 
## 
## ### Pairs that were too short:                   0 (0.0%)
## 
## 
## ### Pairs written (passing filters):        19,550 (100.0%)
## 
## 
## ### 
## 
## 
## ### Total basepairs processed:    11,768,821 bp
## 
## 
## ###   Read 1:     5,884,550 bp
## 
## 
## ###   Read 2:     5,884,271 bp
## 
## 
## ### Total written (filtered):     10,273,440 bp (87.3%)
## 
## 
## ###   Read 1:     5,009,542 bp
## 
## 
## ###   Read 2:     5,263,898 bp
## 
## 
## ### 
## 
## 
## ### === First read: Adapter 1 ===
## 
## 
## ### 
## 
## 
## ### Sequence: GTGYCAGCMGCCGCGGTAA; Type: regular 5'; Length: 19; Trimmed: 0 times.
## 
## 
## ### 
## 
## 
## ### === First read: Adapter 2 ===
## 
## 
## ### 
## 
## 
## ### Sequence: ATTAGAWACCCBNGTAGTCC; Type: regular 3'; Length: 20; Trimmed: 18213 times.
## 
## 
## ### 
## 
## 
## ### No. of allowed errors:
## 
## 
## ### 0-9 bp: 0; 10-19 bp: 1
## 
## 
## ### 
## 
## 
## ### Bases preceding removed adapters:
## 
## 
## ###   A: 0.1%
## 
## 
## ###   C: 0.1%
## 
## 
## ###   G: 99.5%
## 
## 
## ###   T: 0.3%
## 
## 
## ###   none/other: 0.0%
## 
## 
## ### WARNING:
## 
## 
## ###     The adapter is preceded by "G" extremely often.
## 
## 
## ###     The provided adapter sequence could be incomplete at its 3' end.
## 
## 
## ### 
## 
## 
## ### Overview of removed sequences
## 
## 
## ### length   count   expect  max.err error counts
## 
## 
## ### 3    7   305.5   0   7
## 
## 
## ### 28   1   0.0 2   1
## 
## 
## ### 46   2   0.0 2   0 2
## 
## 
## ### 47   290 0.0 2   226 64
## 
## 
## ### 48   16503   0.0 2   14604 1899
## 
## 
## ### 49   1407    0.0 2   1143 264
## 
## 
## ### 50   3   0.0 2   2 1
## 
## 
## ### 
## 
## 
## ### 
## 
## 
## ### === Second read: Adapter 3 ===
## 
## 
## ### 
## 
## 
## ### Sequence: GGACTACNVGGGTWTCTAAT; Type: regular 5'; Length: 20; Trimmed: 0 times.
## 
## 
## ### 
## 
## 
## ### === Second read: Adapter 4 ===
## 
## 
## ### 
## 
## 
## ### Sequence: TTACCGCGGCKGCTGRCAC; Type: regular 3'; Length: 19; Trimmed: 13029 times.
## 
## 
## ### 
## 
## 
## ### No. of allowed errors:
## 
## 
## ### 0-9 bp: 0; 10-19 bp: 1
## 
## 
## ### 
## 
## 
## ### Bases preceding removed adapters:
## 
## 
## ###   A: 91.6%
## 
## 
## ###   C: 5.0%
## 
## 
## ###   G: 2.3%
## 
## 
## ###   T: 1.2%
## 
## 
## ###   none/other: 0.0%
## 
## 
## ### WARNING:
## 
## 
## ###     The adapter is preceded by "A" extremely often.
## 
## 
## ###     The provided adapter sequence could be incomplete at its 3' end.
## 
## 
## ### 
## 
## 
## ### Overview of removed sequences
## 
## 
## ### length   count   expect  max.err error counts
## 
## 
## ### 3    125 305.5   0   125
## 
## 
## ### 4    1   76.4    0   1
## 
## 
## ### 9    1   0.1 0   0 1
## 
## 
## ### 47   163 0.0 1   72 91
## 
## 
## ### 48   11890   0.0 1   6988 4902
## 
## 
## ### 49   846 0.0 1   474 372
## 
## 
## ### 50   3   0.0 1   1 2
## 
## 
## ### 
## 
## 
## ### 
## 
## 
## ### WARNING:
## 
## 
## ###     One or more of your adapter sequences may be incomplete.
## 
## 
## ###     Please see the detailed output above.
## 
## 
## ### This is cutadapt 2.6 with Python 3.7.12
## 
## 
## ### Command line parameters: -g GTGYCAGCMGCCGCGGTAA -a ATTAGAWACCCBNGTAGTCC -G GGACTACNVGGGTWTCTAAT -A TTACCGCGGCKGCTGRCAC -n 2 -m 1 -j 100 -e 0.1 -o /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s004-index-GTGGAGTCTCAT-TS032-16S-1-D1_S4_R1_001.fastq.gz -p /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//cut/lane1-s004-index-GTGGAGTCTCAT-TS032-16S-1-D1_S4_R2_001.fastq.gz /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s004-index-GTGGAGTCTCAT-TS032-16S-1-D1_S4_R1_001.fastq.gz /nfs3/Sharpton_Lab/prod/prod_restructure/projects/arnoldhk/2022_Bighorn_Sheep//raw.tmp.links/raw.tmp.links.16S//filtN/lane1-s004-index-GTGGAGTCTCAT-TS032-16S-1-D1_S4_R2_001.fastq.gz
## 
## 
## ### Processing reads on 100 cores in paired-end mode ...

Metadata field description

[233] “”
[234] “”
[235] “”
[236] “”
[237] “”
[238] “”
[239] “IBR_Status”
[240] “IBR_Titer”
[241] “IBR_Specimen”
[242] “IBR_Lab”
[243] “IBR_Lab_Accession”
[244] “IBR_Test”
[245] “BVDV1_Status”
[246] “BVDV1_Titer”
[247] “BVDV1_Specimen”
[248] “BVDV1_Lab”
[249] “BVDV1_Lab_Accession”
[250] “BVDV1_Test”
[251] “BVDV2_Status”
[252] “BVDV2_Titer”
[253] “BVDV2_Specimen”
[254] “BVDV2_Lab”
[255] “BVDV2_Lab_Accession”
[256] “BVDV2_Test”
[257] “Ch_Status”
[258] “Ch_Titer”
[259] “Ch_Specimen”
[260] “Ch_Lab”
[261] “Ch_Lab_Accession”
[262] “Ch_Test”

infectious_Bovine_rhinotracheatiis_titer bovine_viral_diarrhea_titer Serum neutralization parainfluenza titer parainflenza ISOlation Parainflenza hi bluetoung elisa agid bt ioslation epizoatic hemorrhagic disease isolation brucellossis lepto each of lepto titers

bovine resp synctial virus ovine progressive pneumonia anaplasma card anaplasma elisa toxoplasmosis titer chlymidia orf Mycoplasma ovipneumonia WSUT diagnostic and WSUE diagnostic

Mycoplasma ovipneumoniae https://tests.waddl.vetmed.wsu.edu/Tests/Details/8147

Metadata file list

TODO add in a description for all metadata files here.

Codes for positive and negative results include:

0 Not done or sample was contaminated 1 Negative 2 Suspect 3 Positive

Codes for titer results include:

0 Not done 1 Negative

Titers are the number of the titer’s reciprocal (i.e. 64 for 1:64)

Age

0 Not known 1 0 to 2 years 2 >2 years

Sex

0 not known 1 male 2 female