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Katie Lennard, 10/06/2022 12:42 PM

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# Wiki
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# Data location: 
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The data was transferred from Athena medmicro):
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``` 
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/MedMicro/Clinton/CRE Pfizer Feb 2022/CRE study_1A_results_17022022 
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/MedMicro/Clinton/CRE Pfizer Feb 2022/CRE study_1B_results_21022022
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```
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to Ilifu:
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```
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/scratch3/users/katiel/Clinton/CRE_study_August_2022/
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```
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# Reference data:
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Klebsiella pneumoniae – strain HS11286 (GenBank accession no. CP003200.1) (n=18); 
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Serratia marcescens – strain KS10 (GenBank accession no. CP027798.1) (n=3); 
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Escherichia coli – strain ATCC 25922 (GenBank accession no. CP009072.1) (n=1); and 
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Enterobacter cloacae – strain ATCC 13047 (GenBank accession no. NC_014121.1) (n=1).
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```
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/scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_genomes
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```
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# Objectives workflow:
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![workflow.png]()
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# QC:
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11 sample failed QC and had to be rerun. Note that they accidentally reran these 11 (study1A) twice – once on 28 Feb and once on 22 September. These runs were merged by combining samples e.g.:
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```
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cat KLEB-CRE-GSH-0016_S11_L001_R2_001.fastq.gz >> merged_reads/G-16_S11_L001_R2_001.fastq.gz
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``` 
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file location:
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```
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/scratch3/users/katiel/Clinton/CRE_study_August_2022/raw/11_double_rerun_merged/merged_reads
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```
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Next these 11 merged-run samples were joined in one folder via symlinks with run B (passed QC):
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```
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/scratch3/users/katiel/Clinton/CRE_study_August_2022/raw/study_1A_B_combined
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```
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Filtering and trimming were executed as follows:
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```
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nextflow run kviljoen/fastq_QC --reads '/scratch3/users/katiel/Clinton/CRE_study_August_2022/raw/study_1A_B_combined/*_R{1,2}_001.fastq.gz' -profile ilifu
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```
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QC reports can be found in the 'files' tab
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Note: to agree with srst2 file naming specifications I renamd the trimmed files from e.g. *_R1.fq to *_1.fq (remove R)
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# AMR profiling
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The preference from Clinton is to do AMR profiling with the ResFinder DB. I'm getting errors there that I think relate to the header formatting though so in the interim have run with the ARG_annot DB that we used for previous projects as:
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## ARGannot
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```
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nextflow run kviljoen/uct-srst2 --reads '/scratch3/users/katiel/Clinton/CRE_study_August_2022/2022-09-19-fastq_QC/bbduk/*_{1,2}.fq' -profile ilifu --gene_db /cbio/users/katie/Nicol/Ps_aerug_srst2_MLST/ARGannot_r3.fasta --outdir /scratch3/users/katiel/Clinton/CRE_study_August_2022/srst2_ARGannot/coverage_80_run --min_gene_cov 80
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```
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Individual results files compiled as:
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```
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srst2 --prev_output *results.txt --output ARGannot_AMRs
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```
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## CARD DB: 
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This database is the recommended by srst2 and has been formatted by them already. The DB was downloaded with:
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```
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wget https://github.com/katholt/srst2/blob/master/data/CARD_v3.0.8_SRST2.fasta?raw=true -O CARD_v3.0.8_SRST2.fasta
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```
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Pipeline execution as:
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```
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nextflow run kviljoen/uct-srst2 --reads '/scratch3/users/katiel/Clinton/CRE_study_August_2022/2022-09-19-fastq_QC/bbduk/*_{1,2}.fq' -profile ilifu --gene_db /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/CARD_v3.0.8_SRST2.fasta --outdir /scratch3/users/katiel/Clinton/CRE_study_August_2022/srst2_CARD/coverage_80_run --min_gene_cov 80
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```
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Individual results files compiled as:
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```
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srst2 --prev_output *results.txt --output CARD_AMRs
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```
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# Virulence factors
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Building the relevant VFDB for Klebsiella requires a python script that needs the biopython module (use the /cbio/users/katie/singularity_containers/srst2_v2.simg singularity container for this)
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NB: in order to use the correct python version (2.7.5) for srst2 I first had to comment out the lines at the end of my .bashrc file relating to conda initialize
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Build genus-specific DB:
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```
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python /cbio/users/katie/Nicol/Ps_aerug_srst2_MLST/VFDB/srst2/database_clustering/VFDBgenus.py --infile /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/VFDB_setB_nt.fas --genus Klebsiella 
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```
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was used to create the VF DB Klebsiella.fsa 
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The same procedure (as last year ;) was executed for Escherichia, Serratia and Enterobacter
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cd-hit (needed to build vfdb as outlined here https://github.com/katholt/srst2#using-the-vfdb-virulence-factor-database-with-srst2) docker images was pulled from here https://quay.io/repository/biocontainers/cd-hit?tab=tags and converted to singularity image on BST server:
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```
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singularity exec /cbio/users/katie/singularity_containers/cd-hit.simg /bin/bash
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```
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then run CD-HIT to cluster the sequences for this genus, at 90% nucleotide identity:
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```
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 cd-hit -i Klebsiella.fsa -o Klebsiella_cdhit90 -c 0.9 > Klebsiella_cdhit90.stdout
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```
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Repeat for other .fsa DBs
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NExt parse the cluster output and tabulate the results using the specific Virulence gene DB compatible script (use srst2_v2.simg again)
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```
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python /cbio/users/katie/Nicol/Ps_aerug_srst2_MLST/VFDB/srst2/database_clustering/VFDB_cdhit_to_csv_KLedit.py --cluster_file Klebsiella_cdhit90.clstr --infile Klebsiella.fsa --outfile Klebsiella_cdhit90.csv
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```
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Next convert the resulting csv table to a SRST2-compatible sequence database using:
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```
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python /cbio/users/katie/Nicol/Ps_aerug_srst2_MLST/VFDB/srst2/database_clustering/csv_to_gene_db.py -t Klebsiella_cdhit90.csv -o Klebsiella_VF_clustered.fasta -s 5
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```
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The actual VF typing can now be done using this clustered DB:
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```
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nextflow run kviljoen/uct-srst2 --reads '/scratch3/users/katiel/Clinton/CRE_study_August_2022/2022-09-19-fastq_QC/bbduk/*_{1,2}.fq' -profile ilifu --gene_db /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/Klebsiella_VF_clustered.fasta --outdir /scratch3/users/katiel/Clinton/CRE_study_August_2022/srst2_VFs/coverage_80_run --min_gene_cov 80
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```
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Again combine individual sample results files with e.g.
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```
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srst2 --prev_output *genes* --output Klebsiella_VFs
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```
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# MLST
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MLST profiles were downloaded for E. coli and K. pneumoniae as:
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```
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python /cbio/users/katie/Nicol/Ps_aerug_srst2_MLST/VFDB/srst2/scripts/getmlst.py --species 'Escherichia coli#1'
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python /cbio/users/katie/Nicol/Ps_aerug_srst2_MLST/VFDB/srst2/scripts/getmlst.py --species 'Escherichia coli#2'
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python /cbio/users/katie/Nicol/Ps_aerug_srst2_MLST/VFDB/srst2/scripts/getmlst.py --species 'Klebsiella pneumoniae'
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```
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Note: MLST profiles not available for Serratia marecescens or Enterobacter cloacae
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MLST profiling execution:
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```
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nextflow run kviljoen/uct-srst2 --reads '/scratch3/users/katiel/Clinton/CRE_study_August_2022/2022-09-19-fastq_QC/bbduk/*_{1,2}.fq' -profile ilifu --mlst_definitions /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/Klebsiella_definitions --mlst_db /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/Klebsiella_pneumoniae.fasta --mlst_delimiter _ --outdir /scratch3/users/katiel/Clinton/CRE_study_August_2022/srst2_MLSTs/Klebsiella_MLSTs
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```
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```
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nextflow run kviljoen/uct-srst2 --reads '/scratch3/users/katiel/Clinton/CRE_study_August_2022/2022-09-19-fastq_QC/bbduk/*_{1,2}.fq' -profile ilifu --mlst_definitions /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/E_coli_1_definitions --mlst_db /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/Escherichia_coli#1.fasta --mlst_delimiter _ --outdir /scratch3/users/katiel/Clinton/CRE_study_August_2022/srst2_MLSTs/E_coli1_MLSTs
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```
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```
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nextflow run kviljoen/uct-srst2 --reads '/scratch3/users/katiel/Clinton/CRE_study_August_2022/2022-09-19-fastq_QC/bbduk/*_{1,2}.fq' -profile ilifu --mlst_definitions /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/E_coli_2_definitions --mlst_db /scratch3/users/katiel/Clinton/CRE_study_August_2022/ref_files/Escherichia_coli#2.fasta --mlst_delimiter _ --outdir /scratch3/users/katiel/Clinton/CRE_study_August_2022/srst2_MLSTs/E_coli2_MLSTs
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```