The
human
gut
microbiome
plays
an
important
role
in
resisting
colonization
of
the
host
by
pathogens,
but
we
lack
ability
to
predict
which
communities
will
be
protective.
We
studied
how
bacteria
influence
two
major
bacterial
both
vitro
and
gnotobiotic
mice.
Whereas
single
species
alone
had
negligible
effects,
resistance
greatly
increased
with
community
diversity.
Moreover,
this
community-level
rested
critically
upon
certain
being
present.
explained
these
ecological
patterns
through
collective
resistant
consume
nutrients
that
overlap
those
used
pathogen.
Furthermore,
applied
our
findings
successfully
resist
a
novel
target
strain.
Our
work
provides
reason
why
diversity
is
beneficial
suggests
route
for
rational
design
pathogen-resistant
communities.
FEMS Microbiology Ecology,
Год журнала:
2017,
Номер
93(5)
Опубликована: Март 31, 2017
Microbial
ecology
provides
insights
into
the
ecological
and
evolutionary
dynamics
of
microbial
communities
underpinning
every
ecosystem
on
Earth.
can
now
be
investigated
in
unprecedented
detail,
although
there
is
still
a
wealth
open
questions
to
tackled.
Here
we
identify
50
research
fundamental
importance
science
or
application
ecology,
with
intention
summarising
field
bringing
focus
new
avenues.
Questions
are
categorised
seven
themes:
host-microbiome
interactions;
health
infectious
diseases;
human
food
security;
changing
world;
environmental
processes;
functional
diversity;
processes.
Many
recognise
that
microbes
provide
an
extraordinary
array
diversity
harnessed
solve
real-world
problems.
Our
limited
knowledge
spatial
temporal
variation
function
also
reflected,
as
need
integrate
micro-
macro-ecological
concepts,
derived
from
studies
humans
other
diverse
organisms.
Although
not
exhaustive,
presented
intended
stimulate
discussion
for
researchers,
funders
policy
makers,
informing
future
agenda
ecology.
PLoS Biology,
Год журнала:
2019,
Номер
17(12), С. e3000550 - e3000550
Опубликована: Дек. 12, 2019
Understanding
the
link
between
community
composition
and
function
is
a
major
challenge
in
microbial
population
biology,
with
implications
for
management
of
natural
microbiomes
design
synthetic
consortia.
Specifically,
it
poorly
understood
whether
functions
can
be
quantitatively
predicted
from
traits
species
monoculture.
Inspired
by
study
complex
genetic
interactions,
we
have
examined
how
amylolytic
rate
combinatorial
assemblages
six
starch-degrading
soil
bacteria
depend
on
separate
functional
contributions
each
their
interactions.
Filtering
our
results
through
theory
biochemical
kinetics,
show
that
this
simple
additive
absence
interactions
among
members.
For
about
half
combinatorially
assembled
consortia,
dominated
pairwise
higher-order
other
half,
despite
presence
strong
competitive
We
explain
mechanistic
basis
these
findings
propose
quantitative
framework
allows
us
to
effect
behavioral
dynamics
Our
suggest
robustness
consortium
critically
affects
ability
predict
bottom-up
engineer
ecosystem
communities.
Briefings in Bioinformatics,
Год журнала:
2018,
Номер
21(2), С. 621 - 636
Опубликована: Дек. 7, 2018
Label-free
quantification
(LFQ)
with
a
specific
and
sequentially
integrated
workflow
of
acquisition
technique,
tool
processing
method
has
emerged
as
the
popular
technique
employed
in
metaproteomic
research
to
provide
comprehensive
landscape
adaptive
response
microbes
external
stimuli
their
interactions
other
organisms
or
host
cells.
The
performance
LFQ
is
highly
dependent
on
studied
data.
Hence,
it
essential
discover
most
appropriate
one
for
data
set.
However,
challenging
perform
such
discovery
due
large
number
possible
workflows
multifaceted
nature
evaluation
criteria.
Herein,
web
server
ANPELA
(https://idrblab.org/anpela/)
was
developed
validated
first
enabling
assessment
whole
(collective
by
five
well-established
criteria
distinct
underlying
theories),
enabled
identification
optimal
workflow(s)
ranking.
not
only
automatically
detects
diverse
formats
generated
all
tools
but
also
provides
complete
set
methods
among
available
servers
stand-alone
tools.
Systematic
validation
using
benchmarks
revealed
ANPELA's
capabilities
1
discovering
well-performing
workflow(s),
(2)
from
multiple
perspectives
(3)
validating
accuracy
spiked
proteins.
unique
ability
evaluate
enables
LFQs
ranking
560
workflows.
Therefore,
great
potential
applications
studies
requiring
techniques,
many
features
are
shared
proteomic
studies.
Frontiers in Microbiology,
Год журнала:
2020,
Номер
11
Опубликована: Фев. 19, 2020
Microbiome
research
has
increased
dramatically
in
recent
years,
driven
by
advances
technology
and
significant
reductions
the
cost
of
analysis.
Such
unlocked
a
wealth
data,
which
yielded
tremendous
insight
into
nature
microbial
communities,
including
their
interactions
effects,
both
within
host
an
external
environment
as
part
ecological
community.
Understanding
role
microbiota,
dynamic
with
hosts
other
microbes,
can
enable
engineering
new
diagnostic
techniques
interventional
strategies
that
be
used
diverse
spectrum
fields,
spanning
from
ecology
agriculture
to
medicine
forensics
exobiology.
From
June
19-23
2017,
NIH
NSF
jointly
held
Innovation
Lab
on
Quantitative
Approaches
Biomedical
Data
Science
Challenges
our
Microbiome.
This
review
is
inspired
some
topics
arose
priority
areas
this
unique,
interactive
workshop.
The
goal
summarize
Lab's
findings
introducing
reader
emerging
challenges,
exciting
potential,
current
directions
microbiome
research.
broken
five
key
topic
areas:
(1)
between
microbes
human
body,
(2)
evolution
played
microbe-microbe
interactions,
(3)
analytical
mathematical
methods
currently
research,
(4)
leveraging
knowledge
composition
develop
solutions,
(5)
approaches
may
enabled
selectively
altering
composition.
As
such,
seeks
arm
broad
understanding
priorities
challenges
today
provide
inspiration
for
future
investigation
multi-disciplinary
collaboration.
The
human
gut
microbiome
plays
an
important
role
in
resisting
colonization
of
the
host
by
pathogens,
but
we
lack
ability
to
predict
which
communities
will
be
protective.
We
studied
how
bacteria
influence
two
major
bacterial
both
vitro
and
gnotobiotic
mice.
Whereas
single
species
alone
had
negligible
effects,
resistance
greatly
increased
with
community
diversity.
Moreover,
this
community-level
rested
critically
upon
certain
being
present.
explained
these
ecological
patterns
through
collective
resistant
consume
nutrients
that
overlap
those
used
pathogen.
Furthermore,
applied
our
findings
successfully
resist
a
novel
target
strain.
Our
work
provides
reason
why
diversity
is
beneficial
suggests
route
for
rational
design
pathogen-resistant
communities.