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Genomic epidemiology of Gram-negative
pathogens: from Acinetobacter to E. coli
Professor Mark Pallen, University of Birmingham
The state we are in: diagnostic microbiology
21st Century problem, but 19th Century techniques!
Microscopy and culture on solid media date from the
time of Koch and Pasteur
Declaration of potential
conflict of interest
Sequencing in Birmingham
Case Study Acinetobacter baumannii
Gram-negative bacillus
Multi-drug resistant
colistin and tigecycline as reserve agents
moving towards pan-resistance
Associated with
wound infections and ventilator-associated pneumonia
bloodstream infections
returning military personnel from Iraq and Afghanistan
transmission from military to civilian patients
Applications and Questions
Epidemiology
Q1: Can whole-genome sequencing detect differences
between isolates within an outbreak?
Q2: Can these differences be used to help determine
chains of transmission?
Emergence of Resistance
Q3: Can it reveal how resistance emerges?
Taxonomy and Identification
Q4: Can it tell us what defines a species within a genus?
Acinetobacter Genomic Epidemiology
Outbreak in Birmingham Hospital in 2008
Isolates indistinguishable by current typing methods
Before and after tigecycline therapy
Eighteen SNPs detected
between AB210 and AB211
nine non-synonymous
including a SNP in adeS
which accounts for
resistance phenotype
Three contigs in AB210 not
covered by reads in AB211,
representing three
deletions of ~15, 44,17 kb
mutS truncated; likely
increase in mutation rate
Phylogenomics of species within genus
Acinetobacter
13 new draft genome sequences from 10 species
Analyzed genomes from 38 Acinetobacter strains
Conclusions
16S sequences not capable of delineating accepted species
core-genome phylogenetic tree consistent with currently
accepted taxonomy, while also identifying 3
misclassifications
average-nucleotide identity (ANI) quickly delivered results
consistent with traditional and phylogenetic classifications
In this genus it appears to be possible to delineate and
define species by genome sequence alone
Case Study 2: German E. coli O104:H4 outbreak
May-July 2011
>4000 cases
>40 deaths
Link to sprouting seeds
High risk of haemolytic-
uraemic syndrome
Females particularly at risk
Frank et al DOI: 10.1056/NEJMoa1106483
Crowd-sourcing the genome
BGI-Shenzhen UKE Hamburg The Crowd
Crowd-sourcing the genome
Within 24 hours of its release, the genome is
assembled
Within two days, assigned to an existing lineage
Within five days, strain-specific diagnostic test
released
Within a week, two-dozen reports on the biology and
evolution of the strain had been filed on an open-
source wiki
Squaring the circle…
A few Tweets and blog
posts do not equate to
a peer-reviewed
research publication
Paper for NEJM written
up to include
case study of a family
outbreak
“Journey”, not just
destination
analyses repeated in
house by Nick Loman
Take-away messages
Infection still threat even to the most advanced societies
Pathogens don’t bother with passports!
Not a new strain: something similar seen in Germany ten years ago
closest genome-sequenced strain was isolated from Central African
Republic in late 1990s, belongs to an enteroaggregative lineage
German STEC from lineage circulating in human populations
rather than from animal source (cf E. coli O157)
Bacteria evolve quickly
Virulence factors in E. coli can jump from one lineage to another on
mobile genetic elements
Pathotypes can overlap and evolve
Antibiotic resistance seen where no obvious prior use of antibiotics
Take-away messages
Open-Source Genomics
a propitious confluence of
high-throughput genomics
crowd-sourced analyses
a liberal approach to data
release
Social media (blogging,
Twitter) can augment
usual channels of
academic discourse
Take-away messages
We were not the first
other crowdsourced science projects
see Jennifer Gardy TEDx on Public Health 2.0
But have we broken the mould?
appropriate for public heath emergencies…
…but not for “ordinary science”
The “cite or site” dilemma remains
have we really “shown the finger” to Ingelfinger?
Benchtop sequencers
Ion Torrent MiSeq Q1 2011 Q3 2011
454Jr Q1 2010
Assemblies compared
Microbiology 2.0
MiSeq Stats Run 1 Run 2
Reads (million) 7.3 8.3
Read length 1 x 150 2 x 150
Throughput (mb) 1,106 2,460
Run time (hours) 14.5 27
Human reads 80% 33%
Culture-independent diagnosis
Mean 8.59
SD 18.32
Median 8
Coverage depth E. coli O104:H4 280
chromosome
Shiga-toxin encoding phage
Sample 1:
Laboratory
diagnosis:
E. coli O104:H4
Sample 2:
Laboratory diagnosis:
Salmonella enterica
Taxonomic
classification
within Bacteria
Opportunities
Genome sequencing brings the advantages of
open-endedness (revealing the “unknown unknowns”),
universal applicability
ultimate in resolution
Benchtop sequencing poised to revolutionise
microbiology
Platforms have defined strengths and weaknesses
You ain’t seen nothing yet!
Oxford nanopore: hope or hype?
Take-away messages
Bacteria evolve
quickly
Virulence factors in E.
coli can jump from one
lineage to another on
mobile genetic
elements
Pathotypes can
overlap and evolve
Antibiotic resistance
seen where no
obvious prior use of
antibiotics
Challenges
Genotype does not always predict phenotype
Heterogeneity in bacterial populations (cf Amerithrax)
Sometimes “indistinguishable” really does mean
“identical”
“Sequencing a genome” means different things on
different platforms
Clinical microbiology remains a conservative discipline
How to move from ivory tower to real world?
How to communicate with clinicians?
Radio has survived alongside TV…
The promised land is in sight,
but still many rivers to cross… http://genomemedicine.com/content/3/8/53
pathogenomics.bham.ac.uk/blog
@mjpallen
@pathogenomenick
www.youtube.com/user/pallenm
We were united by a common love of
Science, which we thought sufficient to
bring together persons of all distinctions,
Christians, Jews, Muslims and Heathens,
Monarchists and Republicans.
Joseph Priestley on the Lunar Society of
Birmingham, 1793
#SAMG12
Acknowledgements
Thomas Lewis, Deborah Mortiboy,
Pauline Jumaa, Lewis Bingle, Charles Penn, Chrystala
Constantinidou, Mala Patel, George Weinstock, Neil
Hall, Jon Wain, Beryl Oppenheim, Jackie Chan, David
Wareham, Neil Woodford, Mike Hornsey, Martin
Aepfelbacher
Nick Loman
Hospital Infection Society, MRC