Journal of Ecology,
Journal Year:
2018,
Volume and Issue:
106(5), P. 2002 - 2018
Published: Feb. 12, 2018
Abstract
Below‐ground
resource
partitioning
is
among
the
most
prominent
hypotheses
for
driving
positive
biodiversity–ecosystem
function
relationship.
However,
experimental
tests
of
this
hypothesis
in
biodiversity
experiments
are
scarce,
and
available
evidence
not
consistent.
We
tested
that
space,
time
or
both
space
combined
drives
effect
diversity
on
plant
productivity
total
community
uptake.
At
level,
we
predicted
uptake
biomass
production
above‐
below‐ground
will
increase
with
increased
species
richness
functional
group
richness.
that,
at
partition
breadth
become
narrower,
overlap
between
partitions
different
smaller
increasing
applied
multiple
tracers
(Li
Rb
as
potassium
analogues,
water
isotopologues—H
2
18
O
H
O,
15
N)
three
seasons
two
depths
across
a
gradient
grassland
experiment.
used
multidimensional
tracer
study
to
test
if
resources
simultaneously.
nitrogen
significantly
but
found
no
decreased
any
combined.
Synthesis
.
These
findings
indicate
may
drive
enhanced
here.
Instead,
other
mechanisms
such
facilitation,
species‐specific
biotic
feedback
above‐ground
likely
necessary
overall
ecosystem
function.
The ISME Journal,
Journal Year:
2016,
Volume and Issue:
10(11), P. 2557 - 2568
Published: March 29, 2016
Abstract
The
importance
of
microbial
communities
(MCs)
cannot
be
overstated.
MCs
underpin
the
biogeochemical
cycles
earth’s
soil,
oceans
and
atmosphere,
perform
ecosystem
functions
that
impact
plants,
animals
humans.
Yet
our
ability
to
predict
manage
function
these
highly
complex,
dynamically
changing
is
limited.
Building
predictive
models
link
MC
composition
a
key
emerging
challenge
in
ecology.
Here,
we
argue
addressing
this
requires
close
coordination
experimental
data
collection
method
development
with
mathematical
model
building.
We
discuss
specific
examples
where
model–experiment
integration
has
already
resulted
important
insights
into
structure.
also
highlight
research
questions
still
demand
better
experiments
models.
such
needed
achieve
significant
progress
understanding
dynamics
function,
make
practical
suggestions
as
how
could
achieved.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2019,
Volume and Issue:
50(1), P. 145 - 168
Published: July 24, 2019
Microorganisms
drive
several
processes
needed
for
robust
plant
growth
and
health.
Harnessing
microbial
functions
is
thus
key
to
productive
sustainable
food
production.
Molecular
methods
have
led
a
greater
understanding
of
the
soil
microbiome
composition.
However,
translating
species
or
gene
composition
into
functionality
remains
challenge.
Community
ecology
concepts
such
as
biodiversity–ecosystem
functioning
framework
may
help
predict
assembly
function
plant-associated
microbiomes.
Higher
diversity
can
increase
number
resilience
plant-beneficial
that
be
coexpressed
unlock
expression
traits
are
hard
obtain
from
any
in
isolation.
We
combine
well-established
community
with
molecular
microbiology
workable
enable
us
enhance
promote
global
change
context.
Microbial Cell,
Journal Year:
2018,
Volume and Issue:
5(5), P. 215 - 219
Published: May 4, 2018
Many
microbial
communities
live
in
highly
competitive
surroundings,
which
the
fight
for
resources
determines
their
survival
and
genetic
persistence.
Humans
a
close
relationship
with
communities,
includes
health-
disease-determining
interactions
our
microbiome.
Accordingly,
understanding
of
activities
are
essential
at
physiological
pathophysiological
levels.
Here
we
provide
brief
overview
on
competition
discuss
some
its
roles
consequences
that
directly
affect
humans.
Ecology Letters,
Journal Year:
2023,
Volume and Issue:
26(S1)
Published: March 25, 2023
Microorganisms
are
the
primary
engines
of
biogeochemical
processes
and
foundational
to
provisioning
ecosystem
services
human
society.
Free-living
microbial
communities
(microbiomes)
their
functioning
now
known
be
highly
sensitive
environmental
change.
Given
microorganisms'
capacity
for
rapid
evolution,
evolutionary
could
play
a
role
in
this
response.
Currently,
however,
few
models
explicitly
consider
how
evolution
will
affect
responses
Here,
we
propose
conceptual
framework
integrating
into
microbiome-functioning
relationships.
We
microbiomes
respond
simultaneously
change
via
four
interrelated
that
overall
microbiome
(physiological
acclimation,
demography,
dispersal
evolution).
Recent
evidence
both
laboratory
field
suggests
ecological
dynamics
occur
within
microbiomes;
implications
biogeochemistry
under
depend
on
timescales
over
which
these
contribute
microbiome's
Over
long
term,
may
an
increasingly
important
microbially
driven
change,
particularly
conditions
without
recent
historical
precedent.
Global Change Biology,
Journal Year:
2018,
Volume and Issue:
25(3), P. 1005 - 1015
Published: Nov. 2, 2018
Abstract
Climate
change
will
alter
precipitation
patterns
with
consequences
for
soil
C
cycling.
An
understanding
of
how
fluctuating
moisture
affects
microbial
processes
is
therefore
critical
to
predict
responses
future
global
change.
We
investigated
long‐term
experimental
field
drought
influences
tolerance
lower
levels
(“resistance”)
and
ability
recover
when
rewetted
after
(“resilience”),
using
soils
from
a
heathland
which
had
been
subjected
reduction
during
the
summer
18
years.
tested
whether
could
induce
increased
resistance,
resilience,
changes
in
balance
between
respiration
bacterial
growth
perturbation
events,
by
following
two‐tiered
approach.
first
evaluated
effects
on
community
functioning
drying–rewetting
(D/RW),
second
resistance
resilience
through
additional
cycles.
A
history
selected
but
not
suggesting
that
rewetting
drought,
rather
than
low
was
selective
pressure
shaping
functions.
Laboratory
D/RW
cycles
also
communities
higher
resistance.
The
ratio
drought‐exposed
decreased
both
treatments
This
suggests
structure
respond
quickly
efficiently
drought.
Our
findings
imply
can
adapt
changing
climatic
conditions
this
might
slow
rate
loss
predicted
be
induced
cyclic
Environment International,
Journal Year:
2019,
Volume and Issue:
129, P. 308 - 319
Published: May 28, 2019
The
bacterial
community
from
estuarine
sediment
undertakes
the
bioremediation
and
energy
transformation
of
anthropogenic
pollutants
especially
polycyclic
aromatic
hydrocarbons
(PAHs).
However,
information
studies
on
synergism
related
metabolic
profiles
under
stress
PAHs
are
limited.
In
this
study,
sediments
were
collected
co-incubated
with
a
classical
PAH,
pyrene.
results
showed
that
Alpha-
Gammaproteobacteria
became
abundant
at
late
domesticating
phase
dominant
genus
ZD0117,
uncultivated
bacteria
affiliated
into
Gammaproteobacteria.
Functional
gene
analysis
based
metagenomic
sequencing
quantitatively
changes
genes
directly
to
degradation
hydrocarbon
coordinated
involved
various
pathways
such
as
acylglycerol
degradation,
nitrogen
fixation,
sulfate
transport
system,
Arnon-Buchanan
cycle,
Calvin
cycle
(P
<
0.01
|ρ|
>
0.8).
Fifty-six
metagenome-assembled
genomes
(MAGs)
reconstructed,
which
primarily
composed
by
Bacteria
belonging
phylum
Proteobacteria
found
be
in
MAGs
contained
encoding
for
dehydrogenase,
key
enzymes
pyrene
degradation.
addition,
successfully
reconstructed
proven
carry
synergistically
metabolizing
Based
typical
MAGs,
syntrophic
associations
pyrene-degrading
consortium
reconstructed.
study
could
make
us
fully
understand
patterns
widen
scope
functional
bacteria.
Frontiers in Microbiology,
Journal Year:
2016,
Volume and Issue:
7
Published: Aug. 23, 2016
Microbial
interaction
is
an
integral
component
of
microbial
ecology
studies,
yet
the
role,
extent,
and
relevance
in
community
functioning
remains
unclear,
particularly
context
global
biogeochemical
cycles.
While
many
studies
have
shed
light
on
physico-chemical
cues
affecting
specific
processes,
(micro)biotic
controls
interactions
potentially
steering
communities
leading
to
altered
are
less
known.
Yet,
recent
accumulating
evidence
suggests
that
concerted
actions
a
can
be
significantly
different
from
combined
effects
individual
microorganisms,
giving
rise
emergent
properties.
Here,
we
exemplify
importance
for
ecosystem
processes
by
analysis
reasonably
well-understood
guild,
namely,
aerobic
methane-oxidizing
bacteria
(MOB).
We
reviewed
literature
which
provided
compelling
modulating
methane
oxidation.
Support
associations
within
methane-fed
sought
re-analysis
data
derived
stable
isotope
probing
various
complex
environmental
settings.
Putative
positive
between
active
MOB
other
microbes
were
assessed
correlation
network-based
with
datasets
covering
diverse
environments
where
closely
interacting
members
consortium
alter
oxidation
activity.
Although
methanotrophy
used
as
model
system,
fundamentals
our
postulations
may
applicable
guilds
mediating
processes.