NAR Genomics and Bioinformatics,
Journal Year:
2019,
Volume and Issue:
2(1)
Published: Nov. 14, 2019
Abstract
DNA
barcoding
through
the
use
of
amplified
regions
ribosomal
operon,
such
as
16S
gene,
is
a
routine
method
to
gain
an
overview
microbial
taxonomic
diversity
within
sample
without
need
isolate
and
culture
microbes
present.
However,
bacterial
cells
usually
have
multiple
copies
this
choosing
‘wrong’
copy
could
provide
misleading
species
classification.
While
presents
less
problem
for
well-characterized
organisms
with
large
sequence
databases
interrogate,
it
significant
challenge
lesser
known
unknown
number
diversity.
Using
entire
length
which
encompasses
16S,
23S,
5S
internal
transcribed
spacer
regions,
should
greater
resolution
but
has
not
been
well
explored.
Here,
we
publicly
available
reference
genomes
explore
theoretical
boundaries
when
using
concatenated
genes
full-length
operons,
made
possible
by
development
uptake
long-read
sequencing
technologies.
We
quantify
issues
both
choice
operon
in
phylogenetic
context
demonstrate
that
longer
improve
signal
while
maintaining
accuracy.
Genome Research,
Journal Year:
2024,
Volume and Issue:
34(10), P. 1661 - 1673
Published: Oct. 1, 2024
Sequence
variation
observed
in
populations
of
pathogens
can
be
used
for
important
public
health
and
evolutionary
genomic
analyses,
especially
outbreak
analysis
transmission
reconstruction.
Identifying
this
is
typically
achieved
by
aligning
sequence
reads
to
a
reference
genome,
but
approach
susceptible
biases
requires
careful
filtering
called
genotypes.
There
need
tools
that
process
growing
volume
bacterial
genome
data,
providing
rapid
results,
remain
simple
so
they
without
highly
trained
bioinformaticians,
expensive
data
analysis,
long-term
storage
processing
large
files.
Here
we
describe
split
Microbial Genomics,
Journal Year:
2020,
Volume and Issue:
6(5)
Published: May 1, 2020
Knowledge
of
pneumococcal
lineages,
their
geographic
distribution
and
antibiotic
resistance
patterns,
can
give
insights
into
global
disease.
We
provide
interactive
bioinformatic
outputs
to
explore
such
topics,
aiming
increase
dissemination
genomic
the
wider
community,
without
need
for
specialist
training.
prepared
12
country-specific
phylogenetic
snapshots,
international
snapshots
73
common
Global
Pneumococcal
Sequence
Clusters
(GPSCs)
previously
defined
using
PopPUNK,
present
them
in
Microreact.
Gene
presence
absence
Roary,
recombination
profiles
derived
from
Gubbins
are
presented
Phandango
each
GPSC.
Temporal
signal
was
assessed
GPSC
BactDating.
examples
how
resources
be
used.
In
our
example
use
a
snapshot
we
determined
that
serotype
14
observed
nine
unrelated
genetic
backgrounds
South
Africa.
The
GPSC9,
which
most
isolates
Africa
were
observed,
highlights
there
three
independent
sub-clusters
represented
by
African
isolates.
estimated
GPSC9-dated
tree
established
during
1980s.
show
plots
allowed
identification
20
kb
spanning
capsular
polysaccharide
locus
within
GPSC97.
This
consistent
with
switch
6A
19A
have
occured
1990s
GPSC97-dated
tree.
Plots
gene
presence/absence
genes
(
tet
,
erm
cat
)
across
GPSC23
phylogeny
acquisition
composite
transposon.
GPSC23-dated
occurred
between
1953
1975.
Finally,
demonstrate
assignment
GPSC31
17
externally
generated
1
assemblies
Utah
via
Pathogenwatch.
Most
clustered
USA-specific
clade
recent
ancestor
1958
1981.
provided
used
data,
test
hypothesis
generate
new
hypotheses.
accessible
GPSCs
allows
others
contextualize
own
collections
beyond
data
here.
Annual Review of Microbiology,
Journal Year:
2019,
Volume and Issue:
73(1), P. 639 - 666
Published: July 8, 2019
The
last
century
has
witnessed
progress
in
the
study
of
ancient
infectious
disease
from
purely
medical
descriptions
past
ailments
to
dynamic
interpretations
population
health
that
draw
upon
multiple
perspectives.
recent
adoption
high-throughput
DNA
sequencing
led
an
expanded
understanding
pathogen
presence,
evolution,
and
ecology
across
globe.
This
genomic
revolution
identification
disease-causing
microbes
both
expected
unexpected
contexts,
while
also
providing
for
characterization
pathogens
previously
believed
be
unattainable
by
available
methods.
In
this
review
we
explore
development
DNA-based
research,
specialized
methods
tools
have
emerged
authenticate
past,
unique
challenges
persist
molecular
paleopathology.
We
offer
guidelines
mitigate
impact
these
challenges,
which
will
allow
more
reliable
data
rapidly
evolving
field
investigation.
Open Forum Infectious Diseases,
Journal Year:
2024,
Volume and Issue:
11(6)
Published: May 6, 2024
Abstract
Staphylococcus
aureus
is
a
common
cause
of
skin
and
soft-tissue
infections
(SSTIs)
has
become
the
most
bloodstream
(BSIs)
in
recent
years,
but
whether
strains
causing
these
two
clinical
syndromes
overlap
not
been
studied
adequately.
USA300/500
(clonal
complex
[CC]
8–sequence
type
[ST]
8)
USA100
(CC5-ST5)
have
dominated
among
methicillin-resistant
S
(MRSA)
United
States
since
early
2000s.
We
compared
genomes
unselected
MRSA
isolates
from
131
SSTIs
with
those
145
BSIs
at
single
US
center
overlapping
periods
2018–2021.
CC8
was
more
SSTIs,
CC5
BSIs,
consistent
prior
literature.
Based
on
clustering
threshold
15
single-nucleotide
polymorphisms,
we
identified
clusters
limited
to
patients
SSTI
separate
exclusively
comprising
BSIs.
However,
also
eight
that
included
least
one
BSI
isolate.
This
suggests
virulent
are
transmitted
person
locally
healthcare
setting
or
community
lineages
often
capable
both
F1000Research,
Journal Year:
2020,
Volume and Issue:
9, P. 1309 - 1309
Published: Nov. 10, 2020
Recently
developed
MinHash-based
techniques
were
proven
successful
in
quickly
estimating
the
level
of
similarity
between
large
nucleotide
sequences.
This
article
discusses
their
usage
and
limitations
practice
to
approximating
uncorrected
distances
genomes,
transforming
these
pairwise
dissimilarities
into
proper
evolutionary
distances.
It
is
notably
shown
that
complex
distance
measures
can
be
easily
approximated
using
simple
transformation
formulae
based
on
few
parameters.
therefore
very
useful
for
implementing
fast
yet
accurate
alignment-free
phylogenetic
reconstruction
procedures
from
sets
genomes.
last
point
view
assessed
with
a
simulation
study
dedicated
bioinformatics
tool.
Bacterial
growth
characteristics
intrinsic
to
each
strain
can
impact
and
influence
gene
expression,
antibiotic
susceptibility,
disease
pathogenesis.
However,
little
is
known
about
specific
genomic
variations
that
these
bacterial
features.
Here,
we
investigate
the
of
Streptococcus
pneumoniae
genetics
on
its
in
vitr
o
features
shed
light
genes
may
be
important
targets
development
vaccines
therapeutics.
We
use
statistical
models
estimate
show
they
varied
significantly
across
capsular
serotypes
lineages,
strongly
correlated
with
phylogeny,
were
highly
heritable,
highlighting
a
strong
genetic
basis.
Despite
this,
genome-wide
association
studies
revealed
no
loci
statistically
associated
independently
background,
including
those
polysaccharide
synthesis
locus.
Our
findings
serotype
lineage,
possibly
combination
loci,
pneumococcal
kinetics,
which
have
implications
Bacterial
growth
characteristics
intrinsic
to
each
strain
can
impact
and
influence
gene
expression,
antibiotic
susceptibility,
disease
pathogenesis.
However,
little
is
known
about
specific
genomic
variations
that
these
bacterial
features.
Here,
we
investigate
the
of
Streptococcus
pneumoniae
genetics
on
its
in
vitr
o
features
shed
light
genes
may
be
important
targets
development
vaccines
therapeutics.
We
use
statistical
models
estimate
show
they
varied
significantly
across
capsular
serotypes
lineages,
strongly
correlated
with
phylogeny,
were
highly
heritable,
highlighting
a
strong
genetic
basis.
Despite
this,
genome-wide
association
studies
revealed
no
loci
statistically
associated
independently
background,
including
those
polysaccharide
synthesis
locus.
Our
findings
serotype
lineage,
possibly
combination
loci,
pneumococcal
kinetics,
which
have
implications
Microbial Genomics,
Journal Year:
2025,
Volume and Issue:
11(4)
Published: April 28, 2025
Genetic
distances
between
bacterial
DNA
sequences
can
be
used
to
cluster
populations
into
closely
related
subpopulations
and
as
an
additional
source
of
information
when
detecting
possible
transmission
events.
Due
their
variable
gene
content
order,
reference-free
methods
offer
more
sensitive
detection
genetic
differences,
especially
among
samples
found
in
outbreaks.
However,
across
longer
distances,
frequent
recombination
make
calculation
interpretation
these
differences
challenging,
requiring
significant
bioinformatic
expertise
manual
intervention
during
the
analysis
process.
Here,
we
present
a
Pop
ulation
PIPE
line
(PopPIPE)
which
combines
rapid
genome
analyse
genomes
two
scales,
splitting
whole
subclusters
plausible
events
within
clusters.
We
use
k-mer
sketching
split
strains,
followed
by
removal
create
alignments
strains.
first
show
that
this
approach
creates
high-quality
on
population-wide
dataset
Streptococcus
pneumoniae
.
When
applied
nosocomial
vancomycin-resistant
Enterococcus
faecium
samples,
PopPIPE
finds
clusters
are
epidemiologically
than
core
or
multilocus
sequence
typing
(MLST)
approaches.
Our
pipeline
is
reproducible,
interactive
visualizations
easily
reconfigured
re-run
new
datasets.
Therefore,
provides
user-friendly
for
analyses
spanning
species-wide
clustering
outbreak
investigations.