Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Март 13, 2024
Abstract
Streptococcus
dysgalactiae
subsp.
equisimilis
(SDSE)
is
an
emerging
cause
of
human
infection
with
invasive
disease
incidence
and
clinical
manifestations
comparable
to
the
closely
related
species,
pyogenes
.
Through
systematic
genomic
analyses
501
disseminated
SDSE
strains,
we
demonstrate
extensive
overlap
between
genomes
S.
More
than
75%
core
genes
are
shared
two
species
one
third
demonstrating
evidence
cross-species
recombination.
Twenty-five
percent
mobile
genetic
element
(MGE)
clusters
16
55
MGE
insertion
regions
were
across
species.
Assessing
potential
cross-protection
from
leading
vaccine
candidates
on
SDSE,
12/34
preclinical
antigen
shown
be
present
in
>99%
isolates
both
Relevant
possible
evasion,
six
candidate
demonstrated
inter-species
These
findings
previously
unappreciated
levels
these
pathogens
implications
for
streptococcal
pathobiology,
surveillance
prevention.
Nucleic Acids Research,
Год журнала:
2019,
Номер
47(11), С. 5539 - 5549
Опубликована: Апрель 29, 2019
We
present
fastbaps,
a
fast
solution
to
the
genetic
clustering
problem.
Fastbaps
rapidly
identifies
an
approximate
fit
Dirichlet
process
mixture
model
(DPM)
for
multilocus
genotype
data.
Our
efficient
model-based
approach
is
able
cluster
datasets
10-100
times
larger
than
existing
methods,
which
we
demonstrate
by
analyzing
alignment
of
over
110
000
sequences
HIV-1
pol
genes.
also
provide
method
partitioning
hierarchy
in
order
maximize
DPM
marginal
likelihood,
allowing
us
split
phylogenetic
trees
into
clades
and
subclades
using
population
genomic
model.
Extensive
tests
on
simulated
data
as
well
diverse
set
real
bacterial
viral
show
that
fastbaps
provides
comparable
or
improved
solutions
previous
while
being
significantly
faster.
The
made
freely
available
under
open
source
MIT
licence
easy
use
R
package
at
https://github.com/gtonkinhill/fastbaps.
The Lancet Infectious Diseases,
Год журнала:
2019,
Номер
19(7), С. 759 - 769
Опубликована: Июнь 10, 2019
Invasive
pneumococcal
disease
remains
an
important
health
priority
owing
to
increasing
incidence
caused
by
pneumococci
expressing
non-vaccine
serotypes.
We
previously
defined
621
Global
Pneumococcal
Sequence
Clusters
(GPSCs)
analysing
20
027
isolates
collected
worldwide
and
from
published
genomic
data.
In
this
study,
we
aimed
investigate
the
lineages
behind
predominant
serotypes,
mechanism
of
serotype
replacement
in
disease,
as
well
major
contributing
invasive
post-vaccine
era
their
antibiotic
resistant
traits.
EBioMedicine,
Год журнала:
2019,
Номер
43, С. 338 - 346
Опубликована: Апрель 16, 2019
Pneumococcal
conjugate
vaccines
have
reduced
the
incidence
of
invasive
pneumococcal
disease,
caused
by
vaccine
serotypes,
but
non-vaccine-serotypes
remain
a
concern.
We
used
whole
genome
sequencing
to
study
serotype,
antibiotic
resistance
and
invasiveness,
in
context
genetic
background.Our
dataset
13,454
genomes,
combined
with
four
published
genomic
datasets,
represented
Africa
(40%),
Asia
(25%),
Europe
(19%),
North
America
(12%),
South
(5%).
These
20,027
genomes
were
clustered
into
lineages
using
PopPUNK,
named
Global
Sequence
Clusters
(GPSCs).
From
our
dataset,
we
additionally
derived
serotype
sequence
type,
predicted
sensitivity.
then
measured
invasiveness
odds
ratios
that
relating
prevalence
disease
carriage.The
collections
(n
=
20,027)
621
GPSCs.
Thirty-five
GPSCs
observed
>100
isolates,
subsequently
classed
as
dominant-GPSCs.
In
22/35
(63%)
dominant-GPSCs
both
non-vaccine
serotypes
years
up
until,
including,
first
year
introduction.
Penicillin
multidrug
higher
(p
<
.05)
subset
(14/35,
9/35
respectively),
an
increasing
number
classes
was
associated
increased
recombination
(R2
0.27
p
.0001).
28/35
dominant-GPSCs,
country
isolation
significant
predictor
its
antibiogram
(mean
misclassification
error
0.28,
SD
±
0.13).
detected
six
backgrounds,
when
compared
other
backgrounds
expressing
same
serotype.
Up
1.6-fold
changes
ratio
observed.We
define
can
be
assigned
any
aid
international
comparisons.
Existing
most
preclude
removal
these
vaccines;
leaving
potential
for
replacement.
A
resistance,
and/or
serotype-independent
invasiveness.
Cataloguing
the
distribution
of
genes
within
natural
bacterial
populations
is
essential
for
understanding
evolutionary
processes
and
genetic
basis
adaptation.
Advances
in
whole
genome
sequencing
technologies
have
led
to
a
vast
expansion
amount
genomes
deposited
public
databases.
There
pressing
need
software
solutions
which
are
able
cluster,
catalogue
characterise
genes,
or
other
features,
increasingly
large
genomic
datasets.Here
we
present
pangenomics
toolbox,
PIRATE
(Pangenome
Iterative
Refinement
Threshold
Evaluation),
identifies
classifies
orthologous
gene
families
pangenomes
over
wide
range
sequence
similarity
thresholds.
builds
upon
recent
scalable
developments
allow
rapid
interrogation
thousands
isolates.
clusters
(or
annotated
features)
amino
acid
nucleotide
identity
thresholds
uses
clustering
information
rapidly
identify
paralogous
putative
fission/fusion
events.
Furthermore,
orders
pangenome
using
directed
graph,
provides
measure
allelic
variation,
estimates
divergence
each
family.We
demonstrate
that
scales
linearly
with
both
number
samples
computation
resources,
allowing
analysis
datasets,
compares
favorably
popular
tools.
robust
framework
analysing
pangenomes,
from
largely
clonal
panmictic
species.
INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY,
Год журнала:
2019,
Номер
69(7), С. 1852 - 1863
Опубликована: Май 29, 2019
Herein
the
members
of
Subcommittee
on
Taxonomy
Rhizobia
and
Agrobacteria
International
Committee
Systematics
Prokaryotes
review
recent
developments
in
rhizobial
agrobacterial
taxonomy
propose
updated
minimal
standards
for
description
new
species
(and
genera)
these
groups.
The
essential
requirements
(minimal
standards)
a
are
(1)
genome
sequence
at
least
proposed
type
strain
(2)
evidence
differentiation
from
other
based
comparisons.
It
is
also
recommended
that
(3)
genetic
variation
within
documented
with
data
several
clearly
different
strains
(4)
phenotypic
features
described,
their
relevant
set
representative
strains.
Furthermore,
it
encouraged
information
provided
(5)
nodulation
or
pathogenicity
phenotypes,
as
appropriate,
gene
sequences.
These
guidelines
supplement
current
rules
general
bacterial
taxonomy,
which
require
(6)
name
conforms
to
Code
Nomenclature
Prokaryotes,
(7)
validation
by
publication
either
directly
Journal
Systematic
Evolutionary
Microbiology
list
when
published
elsewhere,
(8)
deposition
two
international
culture
collections
separate
countries.
Abstract
Whole
genome
sequencing
(WGS)
of
foodborne
pathogens
has
become
an
effective
method
for
investigating
the
information
contained
in
sequence
bacterial
pathogens.
In
addition,
its
highly
discriminative
power
enables
comparison
genetic
relatedness
between
bacteria
even
on
a
sub-species
level.
For
this
reason,
WGS
is
being
implemented
worldwide
and
across
sectors
(human,
veterinary,
food,
environment)
investigation
disease
outbreaks,
source
attribution,
improved
risk
characterization
models.
order
to
extract
relevant
from
large
quantity
complex
data
produced
by
WGS,
host
bioinformatics
tools
been
developed,
allowing
users
analyze
interpret
data,
starting
simple
gene-searches
phylogenetic
studies.
Depending
research
question,
complexity
dataset
their
skill
set,
can
choose
great
variety
analysis
data.
review,
we
describe
approaches
phylogenomic
studies
outbreak
give
overview
selected
based
Despite
efforts
last
years,
harmonization
standardization
typing
are
still
urgently
needed
allow
easy
laboratories,
moving
towards
one
health
surveillance
system
Nature Microbiology,
Год журнала:
2022,
Номер
7(12), С. 2054 - 2067
Опубликована: Ноя. 21, 2022
Abstract
The
Klebsiella
group,
found
in
humans,
livestock,
plants,
soil,
water
and
wild
animals,
is
genetically
ecologically
diverse.
Many
species
are
opportunistic
pathogens
can
harbour
diverse
classes
of
antimicrobial
resistance
genes.
Healthcare-associated
pneumoniae
clones
that
non-susceptible
to
carbapenems
spread
rapidly,
representing
a
high
public
health
burden.
Here
we
report
an
analysis
3,482
genome
sequences
15
sampled
over
17-month
period
from
wide
range
clinical,
community,
animal
environmental
settings
around
the
Italian
city
Pavia.
Northern
Italy
hotspot
for
hospital-acquired
carbapenem
thus
pertinent
setting
examine
overlap
between
isolates
clinical
non-clinical
settings.
We
no
genotypic
or
phenotypic
evidence
non-susceptibility
outside
environment.
Although
noted
occasional
transmission
settings,
our
data
point
limited
role
reservoirs
human
acquisition
spp.
also
provide
detailed
genus-wide
view
genomic
diversity
population
structure,
including
identification
new
groups.
The Lancet Infectious Diseases,
Год журнала:
2024,
Номер
24(5), С. 546 - 556
Опубликована: Фев. 2, 2024
BackgroundThe
UK
transition
from
a
2
+
1
to
infant
immunisation
schedule
with
the
13-valent
pneumococcal
conjugate
vaccine
(PCV13)
on
Jan
1,
2020,
coincided
start
of
COVID-19
pandemic.
We
describe
epidemiology
invasive
disease
(IPD)
in
England
over
6
financial
years
(April
March
31)
between
2017–18
and
2022–23.MethodsWe
used
prospective
national
surveillance
data,
including
serotyping
whole-genome
sequencing
isolates,
analyse
IPD
trends
by
age
year.
compared
breakthrough
infections
failure
rates
2022–23
among
children
eligible
for
cohorts
2019–20.
assessed
genomic
changes
time
comparing
Global
Pneumococcal
Sequencing
Clusters
multilocus
sequence
types
PCV13
serotypes
causing
IPD.FindingsThere
were
4598
laboratory-confirmed
cases
2022–23,
3025
2021–22,
1240
2020–21,
5316
incidence
was
14%
lower
than
2019–20
(incidence
rate
ratio
[IRR]
0·86,
95%
CI
0·81–0·91;
p<0·001).
34%
higher
(aged
<15
years)
(378
vs
292
cases;
IRR
1·34,
1·08–1·68;
p=0·009)
17%
adults
15
older;
4220
5024;
0·83,
0·78–0·88;
The
proportion
PCV13-type
increased
19·4%
(95%
18·2–20·4;
957
4947)
29·7%
(28·3–31·0;
1283
4326)
mainly
due
serotype
3,
but
also
19F,
19A,
4,
alongside
decrease
non-PCV13
8,
12F,
9N.
increase
19F
driven
clonal
expansion
previously
circulating
strains,
whereas
4
newer
strains
(ie,
801
15603).
Breakthrough
similar
(1·07
per
100
000
person-years)
(0·76
person-years;
1·42,
0·78–2·49;
p=0·20)
schedules.InterpretationOverall,
after
removal
pandemic
restrictions,
not
significantly
different
who
received
schedule.
post-pandemic
childhood
especially
will
require
close
monitoring.FundingNone.