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Introduction to nullarbor
The Milner Centre for Evolution
Department of Biology & Biochemistry, University of Bath
http://www.climb.ac.uk/
http://www.sheppardlab.com/
Ben Pascoe
with Maciej Filocha (Warwick) & Mark Pallen (Warwick)
1. Introduction to nullarbor
2. Setting up nullarbor with test campy dataset
3. Launching your own VM
4. (something for you try later – Shigellosis nullarbor tutorial)
5. Checking your nullarbor output
Introduction to nullarbor
Sequencing
https://github.com/tseemann/nullarbor
Nullarbor - "Reads to report" for public health and clinical microbiology
http://www.slideshare.net/torstenseemann/bioinformatics-tools-for-the-diagnostic-
laboratory-tseemann-antimicrobials-2016-melb-au-sat-27-feb-2016
What is nullarbor?
Per isolate
Clean /trim sequence reads (Trimmomatic)
• Remove adaptors, quality scores
Species identification (Kraken)
• K-mer analysis against KNOWN database
De novo assembly (MEGAHIT/SPAdes)
• Fast, confident genome assembly
Annotation (Prokka)
• Genome annotation
MLST calling
• From KNOWN databases
Resistome (Abricate)
• ID AMR genes from KNOWN database
Variant calling from reads compared to
reference
Per dataset
Core genome SNPs (Snippy – from reads
Phylogenetic trees (FastTree)
Accessory genome (ROARY)
Report generation
Workshop isolates
4 Campylobacter isolates
All LAB strains – should all be VERY similar…
Run nullarbor
How similar are the isolates?
Is there an explanation for any difference observed?
Implications
11168 widely-used as lab strain and molecular studies based on this reference strain
Campylobacter: background
Sheppard et al. (2009) Clinical Infectious Diseases 48:1072–1078
952
22
42
45
177
682
48
1275
661692
61
206
354
257
1034
574
21
Sheppard et al. (2010) Applied Environmental Microbiology 76, 5269-5277
Campylobacter: source attribution
Campylobacter: introgression
Campylobacter: GWAS
Linking phenotypes and genotypes using GWAS:
Asymptomatic isolatesVs Symptomatic isolates
Weights association
compared to relative
position on the tree
Sheppard et al, PNAS 2013; Pascoe et al, Environmental Microbiology 2015; Monteil et al, Microbial Genomics 2016, Yahara & Meric et al,
Environmental Microbiology 2017
Development of GWAS for use with bacteria: GWAS within clonal complex
Sheppard et al (2013) PNAS 110: (29) 11923-11927
Cattle isolates Vs Chicken isolates
Pascoe et al (2015) Environmental Microbiology
DOI: 10.1111/1462-2920.13051
Good Vs Bad Biofilm isolates
Previous studies were confined
to single clonal complex:
 Bacteria are clonal – difficult
to associations biased by
lineage effects – inheritance
from common ancestor.
 Accessory genome –
bacterial genomes are all
different sizes!
Development of GWAS for use with bacteria: pan-genome GWAS
Symptomatic
Asymptomatic
Paired isolates for pan-genome GWAS
FastML tree of 36 paired isolates (pan-genome)
Reduce false positives
Maintain statistical power
Not confined to single clonal
complex
Zero unmapped words
Mageiros & Meric et al, unpublished; Pascoe et al,
unpublished
Previous studies were confined
to single clonal complex:
 Association weighted
against the clonal frame
(tree)
 Paired isolates from many
CCs.
 Use of reference pan-
genome instead of 1 single
reference genome.
Genome-wide association of Campylobacter genetic elements with disease
severity / asymptomatic carriage
Pascoe et al, unpublished
High statistical association:
 glycosylation genes
 Iron uptake
 Motility
*scores for all genes in pan-genome from all 77
isolates – 2,996 genes
 Thousands of ‘this’ in ~3,000
genes!
AccessVM usingVM box
Using your ip address:
gambia-1: 137.205.69.151
gambia-2: 137.205.69.153
gambia-3: 137.205.69.154
gambia-4: 137.205.69.155
gambia-5: 137.205.69.156
gambia-6: 137.205.69.157
gambia-7: 137.205.69.158
gambia-8: 137.205.69.159
gambia-9: 131.251.130.226
gambia-10: 131.251.130.227
For all:
User: ubuntu
Password: password123
Check we have all the files you need
What do we need?
• Input file: allinput.tab
• Reference genome: al111168.fasta
• Reads from MiSeq: *.fastq.gz
(8 files, 4 isolates)
Setup nullarbor
nullarbor.pl --name gambia --mlst campylobacter --ref al111168.fasta --input allinput.tab -
-outdir output --verbose
• Type command to setup nullarbor
• Nullarbor will perform checks and give you command to use to start run:
nice make -j 1 -C /home/ubuntu/gambia/output
• run
• Can also run with ‘no hangup’
nohup nice make -j 1 -C /home/ubuntu/gambia/output &
It will run for a couple of hours…
Launching your ownVM
https://discourse.climb.ac.uk/
Nullarbor output: report example
Workshop isolates
Are all four isolates very similar?
Which of the 4 isolates were contaminated?
Which isolate was passaged through a chicken?
https://discourse.climb.ac.uk/
Nullarbor tutorials on discourse.climb.ac.uk: Can you run this on your ownVM?

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Day 2: Intro to CLIMB at the MRC Unit, Gambia

  • 1. Introduction to nullarbor The Milner Centre for Evolution Department of Biology & Biochemistry, University of Bath http://www.climb.ac.uk/ http://www.sheppardlab.com/ Ben Pascoe with Maciej Filocha (Warwick) & Mark Pallen (Warwick)
  • 2. 1. Introduction to nullarbor 2. Setting up nullarbor with test campy dataset 3. Launching your own VM 4. (something for you try later – Shigellosis nullarbor tutorial) 5. Checking your nullarbor output Introduction to nullarbor
  • 4. https://github.com/tseemann/nullarbor Nullarbor - "Reads to report" for public health and clinical microbiology http://www.slideshare.net/torstenseemann/bioinformatics-tools-for-the-diagnostic- laboratory-tseemann-antimicrobials-2016-melb-au-sat-27-feb-2016
  • 5. What is nullarbor? Per isolate Clean /trim sequence reads (Trimmomatic) • Remove adaptors, quality scores Species identification (Kraken) • K-mer analysis against KNOWN database De novo assembly (MEGAHIT/SPAdes) • Fast, confident genome assembly Annotation (Prokka) • Genome annotation MLST calling • From KNOWN databases Resistome (Abricate) • ID AMR genes from KNOWN database Variant calling from reads compared to reference Per dataset Core genome SNPs (Snippy – from reads Phylogenetic trees (FastTree) Accessory genome (ROARY) Report generation
  • 6. Workshop isolates 4 Campylobacter isolates All LAB strains – should all be VERY similar… Run nullarbor How similar are the isolates? Is there an explanation for any difference observed? Implications 11168 widely-used as lab strain and molecular studies based on this reference strain
  • 7. Campylobacter: background Sheppard et al. (2009) Clinical Infectious Diseases 48:1072–1078 952 22 42 45 177 682 48 1275 661692 61 206 354 257 1034 574 21 Sheppard et al. (2010) Applied Environmental Microbiology 76, 5269-5277
  • 11. Linking phenotypes and genotypes using GWAS: Asymptomatic isolatesVs Symptomatic isolates Weights association compared to relative position on the tree Sheppard et al, PNAS 2013; Pascoe et al, Environmental Microbiology 2015; Monteil et al, Microbial Genomics 2016, Yahara & Meric et al, Environmental Microbiology 2017
  • 12. Development of GWAS for use with bacteria: GWAS within clonal complex Sheppard et al (2013) PNAS 110: (29) 11923-11927 Cattle isolates Vs Chicken isolates Pascoe et al (2015) Environmental Microbiology DOI: 10.1111/1462-2920.13051 Good Vs Bad Biofilm isolates Previous studies were confined to single clonal complex:  Bacteria are clonal – difficult to associations biased by lineage effects – inheritance from common ancestor.  Accessory genome – bacterial genomes are all different sizes!
  • 13. Development of GWAS for use with bacteria: pan-genome GWAS Symptomatic Asymptomatic Paired isolates for pan-genome GWAS FastML tree of 36 paired isolates (pan-genome) Reduce false positives Maintain statistical power Not confined to single clonal complex Zero unmapped words Mageiros & Meric et al, unpublished; Pascoe et al, unpublished Previous studies were confined to single clonal complex:  Association weighted against the clonal frame (tree)  Paired isolates from many CCs.  Use of reference pan- genome instead of 1 single reference genome.
  • 14. Genome-wide association of Campylobacter genetic elements with disease severity / asymptomatic carriage Pascoe et al, unpublished High statistical association:  glycosylation genes  Iron uptake  Motility *scores for all genes in pan-genome from all 77 isolates – 2,996 genes  Thousands of ‘this’ in ~3,000 genes!
  • 15. AccessVM usingVM box Using your ip address: gambia-1: 137.205.69.151 gambia-2: 137.205.69.153 gambia-3: 137.205.69.154 gambia-4: 137.205.69.155 gambia-5: 137.205.69.156 gambia-6: 137.205.69.157 gambia-7: 137.205.69.158 gambia-8: 137.205.69.159 gambia-9: 131.251.130.226 gambia-10: 131.251.130.227 For all: User: ubuntu Password: password123
  • 16. Check we have all the files you need What do we need? • Input file: allinput.tab • Reference genome: al111168.fasta • Reads from MiSeq: *.fastq.gz (8 files, 4 isolates)
  • 17. Setup nullarbor nullarbor.pl --name gambia --mlst campylobacter --ref al111168.fasta --input allinput.tab - -outdir output --verbose • Type command to setup nullarbor • Nullarbor will perform checks and give you command to use to start run: nice make -j 1 -C /home/ubuntu/gambia/output • run • Can also run with ‘no hangup’ nohup nice make -j 1 -C /home/ubuntu/gambia/output &
  • 18. It will run for a couple of hours…
  • 21. Workshop isolates Are all four isolates very similar? Which of the 4 isolates were contaminated? Which isolate was passaged through a chicken?
  • 22. https://discourse.climb.ac.uk/ Nullarbor tutorials on discourse.climb.ac.uk: Can you run this on your ownVM?