Science,
Год журнала:
2018,
Номер
359(6380), С. 1156 - 1161
Опубликована: Март 8, 2018
Bacterial
involvement
in
autoimmunity
The
composition
of
the
commensal
microbiota
is
known
to
influence
autoimmune
disease
development
and
persistence.
Manfredo
Vieira
et
al.
identified
a
gut
microbe,
Enterococcus
gallinarum
,
that
translocates
from
into
organs
mice
with
genetic
predisposition
lupus-like
(see
Perspective
by
Citi).
Molecular
signatures
barrier
disintegration
pathogenic
T
helper
cells
were
evident
gut,
liver,
lymphoid
during
colonization
pathobiont.
ensuing
pathology
could
be
reversed
vancomycin
treatment
vaccination
against
E.
.
same
bug
was
also
found
liver
biopsies
patients,
but
not
healthy
controls.
Science
this
issue
p.
1156
;
see
1097
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2016,
Номер
unknown
Опубликована: Окт. 15, 2016
Abstract
Amplicon
sequencing
of
tags
such
as
16S
and
ITS
ribosomal
RNA
is
a
popular
method
for
investigating
microbial
populations.
In
experiments,
sequence
errors
caused
by
PCR
are
difficult
to
distinguish
from
true
biological
variation.
I
describe
UNOISE2,
an
updated
version
the
UNOISE
algorithm
denoising
(error-correcting)
Illumina
amplicon
reads
show
that
it
has
comparable
or
better
accuracy
than
DADA2.
To
take
advantage
of
affordable
high-throughput
next-generation
sequencing
technologies
to
characterize
microbial
community
composition
often
requires
the
development
improved
methods
overcome
technical
limitations
inherent
platforms.
Sequencing
low
sequence
diversity
libraries
such
as
16S
rRNA
amplicons
has
been
problematic
on
Illumina
MiSeq
platform
and
generates
sequences
suboptimal
quality.Here
we
present
an
dual-indexing
amplification
approach
assess
communities
from
clinical
samples
using
V3-V4
region
gene
platform.
We
introduced
a
0
7
bp
"heterogeneity
spacer"
index
that
allows
equal
proportion
be
sequenced
out
phase.Our
yields
high
quality
data
both
250
300
paired-end
protocols
provides
flexible
cost-effective
option.
Nature Communications,
Год журнала:
2018,
Номер
9(1)
Опубликована: Июль 27, 2018
Abstract
Soil
microbial
communities
play
a
crucial
role
in
ecosystem
functioning,
but
it
is
unknown
how
co-occurrence
networks
within
these
respond
to
disturbances
such
as
climate
extremes.
This
represents
an
important
knowledge
gap
because
changes
could
have
implications
for
their
functioning
and
vulnerability
future
disturbances.
Here,
we
show
grassland
mesocosms
that
drought
promotes
destabilising
properties
soil
bacterial,
not
fungal,
networks,
bacterial
link
more
strongly
during
recovery
than
do
fungal
communities.
Moreover,
reveal
has
prolonged
effect
on
via
vegetation
composition
resultant
reductions
moisture.
Our
results
provide
new
insight
the
mechanisms
through
which
alters
with
potential
long-term
consequences,
including
plant
community
ability
of
aboveground
belowground
withstand
PLoS ONE,
Год журнала:
2014,
Номер
9(8), С. e105592 - e105592
Опубликована: Авг. 21, 2014
For
the
analysis
of
microbial
community
structure
based
on
16S
rDNA
sequence
diversity,
sensitive
and
robust
PCR
amplification
is
a
critical
step.
To
obtain
accurate
composition
data,
must
be
free
bias;
however,
amplifying
all
species
with
equal
efficiency
from
sample
containing
large
variety
microorganisms
remains
challenging.
Here,
we
designed
universal
primer
V3-V4
hypervariable
region
prokaryotic
for
simultaneous
detection
Bacteria
Archaea
in
fecal
samples
crossbred
pigs
(Landrace
×
Large
white
Duroc)
using
an
Illumina
MiSeq
next-generation
sequencer.
In-silico
showed
that
newly
primers
matched
approximately
98.0%
94.6%
rRNA
gene
sequences
Ribosomal
Database
Project
database.
each
sequencing
reaction
performed
primer,
average
69,330
(±
20,482)
reads
were
obtained,
which
archaeal
genes
comprised
1.2%
to
3.2%
reads.
In
addition,
frequency
belonging
phylum
Verrucomicrobia,
including
members
classes
Verrucomicrobiae
Opitutae,
was
higher
NGS
than
bacterial
primer.
Importantly,
this
new
set
had
markedly
lower
bias
most
previously
primers.
Our
findings
demonstrate
present
study
will
permit
Archaea,
therefore
allow
more
comprehensive
understanding
structures
environmental
samples.
Bioinformatics,
Год журнала:
2015,
Номер
31(21), С. 3476 - 3482
Опубликована: Июль 2, 2015
Abstract
Motivation:
Next-generation
sequencing
produces
vast
amounts
of
data
with
errors
that
are
difficult
to
distinguish
from
true
biological
variation
when
coverage
is
low.
Results:
We
demonstrate
large
reductions
in
error
frequencies,
especially
for
high-error-rate
reads,
by
three
independent
means:
(i)
filtering
reads
according
their
expected
number
errors,
(ii)
assembling
overlapping
read
pairs
and
(iii)
amplicon
exploiting
unique
sequence
abundances
perform
correction.
also
show
most
published
paired
assemblers
calculate
incorrect
posterior
quality
scores.
Availability
implementation:
These
methods
implemented
the
USEARCH
package.
Binaries
freely
available
at
http://drive5.com/usearch.
Contact:
[email protected]
Supplementary
information:
Bioinformatics
online.
Nature,
Год журнала:
2016,
Номер
533(7604), С. 543 - 546
Опубликована: Май 3, 2016
Our
intestinal
microbiota
harbours
a
diverse
bacterial
community
required
for
our
health,
sustenance
and
wellbeing.
Intestinal
colonization
begins
at
birth
climaxes
with
the
acquisition
of
two
dominant
groups
strict
anaerobic
bacteria
belonging
to
Firmicutes
Bacteroidetes
phyla.
Culture-independent,
genomic
approaches
have
transformed
understanding
role
human
microbiome
in
health
many
diseases.
However,
owing
prevailing
perception
that
indigenous
are
largely
recalcitrant
culture,
their
functions
phenotypes
remain
unknown.
Here
we
describe
novel
workflow
based
on
targeted
phenotypic
culturing
linked
large-scale
whole-genome
sequencing,
phylogenetic
analysis
computational
modelling
demonstrates
substantial
proportion
culturable.
Applying
this
approach
healthy
individuals,
isolated
137
species
from
characterized
candidate
families,
genera
were
archived
as
pure
cultures.
Whole-genome
metagenomic
combined
analysis,
suggests
least
50-60%
individual
produce
resilient
spores,
specialized
host-to-host
transmission.
unlocks
reveals
how
marked
oxygen-sensitive
can
be
transmitted
between
affecting
heritability.
Science,
Год журнала:
2020,
Номер
369(6510), С. 1481 - 1489
Опубликована: Авг. 13, 2020
Several
species
of
intestinal
bacteria
have
been
associated
with
enhanced
efficacy
checkpoint
blockade
immunotherapy,
but
the
underlying
mechanisms
by
which
microbiome
enhances
antitumor
immunity
are
unclear.
In
this
study,
we
isolated
three
bacterial
species-Bifidobacterium
pseudolongum,
Lactobacillus
johnsonii,
and
Olsenella
species-that
significantly
immune
inhibitors
in
four
mouse
models
cancer.
We
found
that
B.
pseudolongum
modulated
immunotherapy
response
through
production
metabolite
inosine.
Decreased
gut
barrier
function
induced
increased
systemic
translocation
inosine
activated
T
cells.
The
effect
was
dependent
on
cell
expression
adenosine
A2A
receptor
required
costimulation.
Collectively,
our
study
identifies
a
previously
unknown
microbial
pathway
may
be
exploited
to
develop
microbial-based
adjuvant
therapies.
Science,
Год журнала:
2018,
Номер
361(6401), С. 469 - 474
Опубликована: Авг. 3, 2018
Interchanging
species
of
similar
function
Under
natural
conditions,
bacteria
form
mixed,
interacting
communities.
Understanding
how
such
communities
assemble
and
stabilize
is
important
in
a
range
contexts,
from
biotechnological
applications
to
what
happens
our
guts.
Goldford
et
al.
sampled
the
microbial
soil
plants
containing
hundreds
thousands
sequence
variants.
The
organisms
were
passaged
after
culture
low
concentrations
single
carbon
sources
cross-fed
with
each
other's
metabolites;
then,
resulting
sequenced
using
16S
ribosomal
RNA,
outcomes
modeled
mathematically.
mix
that
survived
under
steady
conditions
converged
reproducibly
reflect
experimentally
imposed
rather
than
initially
inoculated—although
at
coarse
phylogenetic
levels,
taxonomic
patterns
persisted.
Science
,
this
issue
p.
469
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2016,
Номер
unknown
Опубликована: Сен. 9, 2016
Abstract
Metagenomics
experiments
often
characterize
microbial
communities
by
sequencing
the
ribosomal
16S
and
ITS
regions.
Taxonomy
prediction
is
a
fundamental
step
in
such
studies.
The
SINTAX
algorithm
predicts
taxonomy
using
k
-mer
similarity
to
identify
top
hit
reference
database
provides
bootstrap
confidence
for
all
ranks
prediction.
achieves
comparable
or
better
accuracy
RDP
Naive
Bayesian
Classifier
with
simpler
that
does
not
require
training.
Most
tested
methods
are
shown
have
high
rates
of
over-classification
errors
where
novel
taxa
incorrectly
predicted
known
names.