Microbiome,
Journal Year:
2018,
Volume and Issue:
6(1)
Published: May 25, 2018
Solid
organ
transplant
recipients
show
heterogeneity
in
the
occurrence
and
timing
of
acute
rejection
episodes.
Understanding
factors
responsible
for
such
variability
patient
outcomes
may
lead
to
improved
diagnostic
therapeutic
approaches.
Rejection
kinetics
transplanted
organs
mainly
depends
on
extent
genetic
disparities
between
donor
recipient,
but
a
role
environmental
is
emerging.
We
have
recently
shown
that
major
alterations
microbiota
following
broad-spectrum
antibiotics,
or
use
germ-free
animals,
promoted
longer
skin
graft
survival
mice.
Here,
we
tested
whether
spontaneous
differences
microbial
colonization
genetically
similar
individuals
can
contribute
kinetics.
compared
minor
mismatched
grafts
C57BL/6
mice
from
Jackson
Laboratory
(Jax)
Taconic
Farms
(Tac),
animals
colonized
by
different
commensal
microbes.
Female
Tac
rejected
vendor-matched
males
more
quickly
than
Jax
observed
prolonged
when
they
were
exposed
microbiome
through
co-housing
fecal
transplantation
(FMT)
gastric
gavage.
In
contrast,
exposure
did
not
change
mice,
suggesting
dominant
suppressive
effect
microbiota.
High-throughput
sequencing
16S
rRNA
gene
amplicons
samples
confirmed
convergence
composition
after
cohousing
transfer.
Our
analysis
amplicon
data
associated
members
single
bacterial
genus,
Alistipes,
with
survival.
Consistent
this
finding,
genus
Alistipes
absent
separate
cohort,
which
transfer
failed
prolong
These
results
demonstrate
resident
healthy
translate
into
distinct
rejection,
interpersonal
outcomes.
The
association
suggests
might
affect
host
physiology,
including
at
sites
distal
gastrointestinal
tract.
Overall,
these
findings
allude
potential
specific
gut
microbes
promote
administration
probiotics,
FMT.
The ISME Journal,
Journal Year:
2017,
Volume and Issue:
11(12), P. 2639 - 2643
Published: July 21, 2017
Abstract
Recent
advances
have
made
it
possible
to
analyze
high-throughput
marker-gene
sequencing
data
without
resorting
the
customary
construction
of
molecular
operational
taxonomic
units
(OTUs):
clusters
reads
that
differ
by
less
than
a
fixed
dissimilarity
threshold.
New
methods
control
errors
sufficiently
such
amplicon
sequence
variants
(ASVs)
can
be
resolved
exactly,
down
level
single-nucleotide
differences
over
sequenced
gene
region.
The
benefits
finer
resolution
are
immediately
apparent,
and
arguments
for
ASV
focused
on
their
improved
resolution.
Less
obvious,
but
we
believe
more
important,
broad
derive
from
status
ASVs
as
consistent
labels
with
intrinsic
biological
meaning
identified
independently
reference
database.
Here
discuss
how
these
features
grant
combined
advantages
closed-reference
OTUs—including
computational
costs
scale
linearly
study
size,
simple
merging
between
processed
sets,
forward
prediction—and
de
novo
accurate
measurement
diversity
applicability
communities
lacking
deep
coverage
in
databases.
We
argue
improvements
reusability,
reproducibility
comprehensiveness
great
should
replace
OTUs
standard
unit
analysis
reporting.
Nature Biotechnology,
Journal Year:
2018,
Volume and Issue:
37(1), P. 29 - 37
Published: Dec. 17, 2018
This
paper
presents
standards
and
best
practices
for
reporting
genome
sequences
of
uncultivated
viruses.
We
present
an
extension
the
Minimum
Information
about
any
(x)
Sequence
(MIxS)
standard
virus
genomes.
Uncultivated
Virus
Genome
(MIUViG)
were
developed
within
Genomic
Standards
Consortium
framework
include
origin,
quality,
annotation,
taxonomic
classification,
biogeographic
distribution
in
silico
host
prediction.
Community-wide
adoption
MIUViG
standards,
which
complement
a
Single
Amplified
(MISAG)
Metagenome-Assembled
(MIMAG)
bacteria
archaea,
will
improve
genomes
public
databases.
In
turn,
this
should
enable
more
robust
comparative
studies
systematic
exploration
global
virosphere.
mSphere,
Journal Year:
2018,
Volume and Issue:
3(4)
Published: July 26, 2018
Recent
discussion
focuses
on
the
best
method
for
delineating
microbial
taxa,
based
either
exact
sequence
variants
(ESVs)
or
traditional
operational
taxonomic
units
(OTUs)
of
marker
gene
sequences.
We
sought
to
test
if
binning
approach
(ESVs
versus
97%
OTUs)
affected
ecological
conclusions
a
large
field
study.
The
data
set
included
sequences
targeting
all
bacteria
(16S
rRNA)
and
fungi
(internal
transcribed
spacer
[ITS]),
across
multiple
environments
diverging
markedly
in
abiotic
conditions,
over
three
collection
times.
Despite
quantitative
differences
richness,
we
found
that
α
β
diversity
metrics
were
highly
positively
correlated
(r
>
0.90)
between
samples
analyzed
with
both
approaches.
Moreover,
community
composition
dominant
taxa
did
not
vary
Consequently,
statistical
inferences
nearly
indistinguishable.
Furthermore,
ESVs
only
moderately
increased
genetic
resolution
fungal
bacterial
(1.3
2.1
times
OTU
respectively).
conclude
broadscale
(e.g.,
fungi)
analyses,
ESV
methods
will
often
reveal
similar
results.
Thus,
while
there
are
good
reasons
employ
ESVs,
need
question
validity
results
OTUs.IMPORTANCE
Microbial
ecologists
have
made
exceptional
improvements
our
understanding
microbiomes
last
decade
due
breakthroughs
sequencing
technologies.
These
advances
wide-ranging
implications
fields
ranging
from
agriculture
human
health.
Due
limitations
databases,
majority
ecology
studies
use
approximate
taxonomy
DNA
similarity.
There
remains
extensive
debate
way
bin
this
taxonomy.
Here
examine
two
popular
approaches
using
field-based
examining
major
outcomes.
it
appears
standard
analyses
overly
sensitive
particulars
PLoS ONE,
Journal Year:
2020,
Volume and Issue:
15(9), P. e0233872 - e0233872
Published: Sept. 23, 2020
Bacteria
are
essential
parts
of
ecosystems
and
the
most
diverse
organisms
on
planet.
Yet,
we
still
do
not
know
which
habitats
support
highest
diversity
bacteria
across
multiple
scales.
We
analyzed
alpha-,
beta-,
gamma-diversity
bacterial
assemblages
using
11,680
samples
compiled
by
Earth
Microbiome
Project.
found
that
soils
contained
richness
within
a
single
sample
(alpha-diversity),
but
sediment
displayed
gamma-diversity.
Sediment,
biofilms/mats,
inland
water
exhibited
variation
in
community
composition
among
geographic
locations
(beta-diversity).
Within
soils,
agricultural
lands,
hot
deserts,
grasslands,
shrublands
richness,
while
forests,
cold
tundra
biomes
consistently
harbored
fewer
species.
Surprisingly,
encompassed
similar
levels
beta-diversity
as
other
soil
biomes.
These
patterns
were
robust
to
alpha-
beta-
metrics
used
taxonomic
binning
approach.
Overall,
results
idea
spatial
environmental
heterogeneity
is
an
important
driver
diversity.
Virology Journal,
Journal Year:
2019,
Volume and Issue:
16(1)
Published: Feb. 1, 2019
Microbial
communities
living
in
the
oceans
are
major
drivers
of
global
biogeochemical
cycles.
With
nutrients
limited
across
vast
swathes
ocean,
marine
microbes
eke
out
a
under
constant
assault
from
predatory
viruses.
Viral
concentrations
exceed
those
their
bacterial
prey
by
an
order
magnitude
surface
water,
making
these
obligate
parasites
most
abundant
biological
entities
ocean.
Like
pirates
17th
and
18th
centuries
that
hounded
ships
plying
trade
exploration
routes,
viruses
have
evolved
mechanisms
to
hijack
microbial
cells
repurpose
cargo
indeed
vessels
themselves
maximise
viral
propagation.
Phenotypic
reconfiguration
host
is
often
achieved
through
Auxiliary
Metabolic
Genes
–
genes
originally
derived
genomes
but
maintained
adapted
redirect
energy
substrates
towards
synthesis.
In
this
review,
we
critically
evaluate
literature
describing
used
bacteriophages
reconfigure
metabolism
plunder
intracellular
resources
optimise
production.
We
also
highlight
when,
challenging
environments,
'batten
down
hatches'
strategy
supersedes
'plunder
pillage'.
Here,
infecting
virus
increases
fitness
phenotypic
augmentation
ride
metaphorical
storm,
with
concomitant
impact
on
substrate
uptake
metabolism,
ultimately,
interactions
wider
community.
Thus,
traditional
view
virus-host
relationship
as
predator
does
not
fully
characterise
variety
or
significance
observed.
Recent
advances
metagenomics
provided
tantalising
glimpse
novel
metabolic
reprogramming
oceans.
Incorporation
new
findings
into
models
requires
experimental
evidence
model
systems
improvements
our
ability
accurately
predict
protein
function
sequence
data.
Marine Life Science & Technology,
Journal Year:
2019,
Volume and Issue:
1(1), P. 112 - 128
Published: Sept. 30, 2019
Abstract
Microorganisms
play
crucial
roles
in
maintaining
ecosystem
stability.
The
last
two
decades
have
witnessed
an
upsurge
studies
on
marine
microbial
community
composition
using
high-throughput
sequencing
methods.
Extensive
mining
of
the
compositional
data
has
provided
exciting
new
insights
into
ecology
from
a
number
perspectives.
Both
deterministic
and
stochastic
processes
contribute
to
assembly
but
their
relative
importance
structuring
subcommunities,
that
are
categorized
by
traits
such
as
abundance,
functional
type
activity,
differs.
Through
correlation-based
network
analysis,
significant
progress
been
made
unraveling
co-occurrence
patterns
dynamics
response
environmental
changes.
Prediction
functioning,
based
data,
is
receiving
increasing
attention,
closely
related
microbes
often
share
similar
ecological
diversity
exhibits
correlations
functioning.
functioning
likely
executed
not
whole
community,
rather
active
fraction
which
can
be
inferred
marker
gene
transcription
level
members.
Furthermore,
huge
amount
significantly
expanded
tree
life
illuminated
phylogenetic
divergence
evolutionary
history.
This
review
summarizes
important
findings
assembly,
interaction,
activity
diversification,
highlighting
interacting
different
aspects,
derived
data.
PLoS ONE,
Journal Year:
2022,
Volume and Issue:
17(2), P. e0264443 - e0264443
Published: Feb. 24, 2022
Advances
in
the
analysis
of
amplicon
sequence
datasets
have
introduced
a
methodological
shift
how
research
teams
investigate
microbial
biodiversity,
away
from
identity-based
clustering
(producing
Operational
Taxonomic
Units,
OTUs)
to
denoising
methods
variants,
ASVs).
While
several
inherent
properties
that
make
them
desirable
compared
clustering-based
methods,
questions
remain
as
influence
these
pipelines
on
ecological
patterns
being
assessed,
especially
when
other
choices
made
processing
data
(e.g.
rarefaction)
and
computing
diversity
indices.
We
respective
influences
two
widely
used
namely
DADA2
(a
method)
vs.
Mothur
16S
rRNA
gene
(hypervariable
region
v4),
such
effects
rarefaction
community
table
OTU
identity
threshold
(97%
99%)
signals
detected.
dataset
comprising
freshwater
invertebrate
(three
Unionidae
species)
gut
environmental
(sediment,
seston)
communities
sampled
six
rivers
southeastern
USA.
ranked
each
choice
alpha
beta
diversity,
taxonomic
composition.
The
pipeline
significantly
influenced
diversities
changed
signal
detected,
presence/absence
indices
richness
index
unweighted
Unifrac.
Interestingly,
discrepancy
between
ASV-based
metrics
could
be
attenuated
by
use
rarefaction.
identification
major
classes
genera
also
revealed
significant
discrepancies
across
pipelines.
Compared
pipeline's
effect,
had
minimal
impact
all
measurements.