Environmental Microbiology,
Journal Year:
2020,
Volume and Issue:
23(1), P. 464 - 477
Published: Nov. 20, 2020
Soil
functions
and
processes
are
driven
by
complex
microbial
interactions.
It
is,
therefore,
critical
to
understand
the
coexistence
patterns
of
soil
microbiota,
especially
in
fragile
alpine
ecosystems.
We
identified
biogeographic
network-level
topological
features
co-occurrence
network
Tibetan
grasslands,
based
on
high-throughput
sequencing.
verified
that
pH
was
most
important
environmental
variable
for
predicting
networks.
Associations
among
microbiota
were
enhanced
with
increasing
(5.17-8.92),
stable
at
neutral
pH.
Moreover,
node-level
suggested
archaeal
operational
taxonomic
units,
compared
bacterial
hold
a
central
role
network.
Network-level
revealed
closer
connections
steppe
ecosystem
than
meadow
ecosystem.
Therefore,
our
study
demonstrated
served
as
filter
influenced
potential
associations
ecological
signature
grasslands.
These
findings
provide
new
perspective
distinct
networks,
explore
thus
help
manage
communities
provisioning
services.
Global Change Biology,
Journal Year:
2021,
Volume and Issue:
28(1), P. 140 - 153
Published: Oct. 7, 2021
Belowground
biodiversity
supports
multiple
ecosystem
functions
and
services
that
humans
rely
on.
However,
there
is
a
dearth
of
studies
exploring
the
determinants
biodiversity-ecosystem
function
(BEF)
relationships,
particularly
in
intensely
managed
agricultural
ecosystems.
Here,
we
reported
significant
positive
relationships
between
soil
organism
groups
228
fields,
relating
to
crop
yield,
nutrient
provisioning,
element
cycling,
pathogen
control.
The
were
influenced
by
types
organisms
phylotypes
with
larger
sizes
or
at
higher
trophic
levels,
for
example,
invertebrates
protist
predators,
appeared
exhibit
weaker
no
BEF
when
compared
those
smaller
lower
archaea,
bacteria,
fungi,
phototrophs.
Particularly,
highlighted
role
network
complexity,
reflected
co-occurrence
patterns
among
multitrophic-level
organisms,
enhancing
link
functions.
Our
results
represent
advance
forecasting
impacts
belowground
multitrophic
on
systems,
suggest
complexity
should
be
considered
key
factor
productivity
sustainability
under
land-use
intensification.
mSystems,
Journal Year:
2020,
Volume and Issue:
5(2)
Published: April 20, 2020
Soil
microbial
communities
are
fundamental
to
maintaining
key
soil
processes
associated
with
litter
decomposition,
nutrient
cycling,
and
plant
productivity
thus
integral
human
well-being.
Recent
technological
advances
have
exponentially
increased
our
knowledge
concerning
the
global
ecological
distributions
of
across
space
time
provided
evidence
for
their
contribution
ecosystem
functions.
However,
major
gaps
in
biogeography
remain
be
addressed
over
coming
years
as
technology
research
questions
continue
evolve.
In
this
minireview,
we
state
recent
future
directions
study
discuss
need
a
clearer
concept
species,
projections
toward
change
scenarios,
importance
embracing
culture
isolation
approaches
determine
functional
profiles.
This
will
critical
better
predict
functions
changing
world.
Molecular Ecology,
Journal Year:
2021,
Volume and Issue:
30(10), P. 2390 - 2403
Published: March 14, 2021
Disentangling
the
biogeographic
patterns
of
rare
and
abundant
microbes
is
essential
in
order
to
understand
generation
maintenance
microbial
diversity
with
respect
functions
they
provide.
However,
little
known
about
ecological
assembly
processes
environmental
adaptation
across
large
spatial-scale
wetlands.
Using
Illumina
sequencing
multiple
statistical
analyses,
we
characterized
taxonomic
phylogenetic
bacteria
fungi
Qinghai-Tibet
Plateau
wetland
soils.
Abundant
taxa
exhibited
broader
thresholds
stronger
signals
for
traits
than
ones.
By
contrast,
showed
higher
sensitivity
changes
closer
clustering
The
null
model
analysis
revealed
that
dispersal
limitation
belonging
stochastic
process
dominated
community
assemblies
bacteria,
fungi,
while
variable
selection
deterministic
governed
bacteria.
Neutral
variation
partitioning
further
confirmed
were
less
environmentally
constrained.
Soil
ammonia
nitrogen
was
crucial
factor
mediating
balance
between
stochasticity
determinism
both
microbes.
may
have
better
potential
are
dispersed
by
Our
findings
extend
knowledge
ongoing
change
could
facilitate
prediction
biodiversity
loss
caused
probably
climate
human
activity
Microbiome,
Journal Year:
2021,
Volume and Issue:
9(1)
Published: Jan. 22, 2021
Soil
methanogens
participate
in
complex
interactions,
which
determine
the
community
structures
and
functions.
Studies
continue
to
seek
coexistence
patterns
of
soil
methanogens,
influencing
factors
contribution
methane
(CH4)
production,
are
regulated
primarily
by
species
functional
significance
these
interactions.
Here,
emissions
were
measured
rice
paddies
across
Asian
continent,
interactions
involved
methanogenic
archaeal
communities
represented
as
pairwise
links
co-occurrence
networks.The
network
topological
properties,
positively
correlated
with
mean
annual
temperature,
most
important
predictor
CH4
among
all
biotic
abiotic
factors.
The
groups
commonly
co-occurring
39
local
networks
contributed
emission
(53.3%),
much
higher
than
endemic
(36.8%).
potential
keystone
taxa,
belonging
Methanobacterium,
Methanocella,
Methanothrix,
Methanosarcina,
possessed
high
linkages
generation
genes
mcrA,
fwdB,
mtbA,
mtbC.
Moreover,
coexisting
taxa
showed
a
very
different
assembly
pattern,
~
30%
determinism
70%
stochasticity.
In
contrast,
proportion
stochasticity
(93~99%)
characterized
endemically
taxa.These
results
suggest
that
microbes
closely
tied
their
significance,
importance
common
further
imply
may
contribute
more
diversity
Video
abstract.
Global Change Biology,
Journal Year:
2022,
Volume and Issue:
28(22), P. 6653 - 6664
Published: Aug. 13, 2022
Agricultural
ecosystems
are
facing
increasing
environmental
changes.
Revealing
ecological
stability
of
belowground
organisms
is
key
to
developing
management
strategies
that
maintain
agricultural
ecosystem
services
in
a
changing
world.
Here,
we
collected
soils
from
adjacent
pairs
maize
and
rice
fields
along
large
spatial
scale
across
Eastern
Southeast
China
investigate
the
importance
core
microbiota
as
predictor
resistance
soil
microbiome
(e.g.
bacteria,
fungi
protist)
climate
changes
nutrient
fertilization,
their
effect
on
multiple
functions,
representing
for
crop
growth
health
agro-ecosystems.
Soil
exhibited
stronger
than
soils,
by
considering
aspects
index,
example,
community,
phylogenetic
conservation
network
complexity.
Community
showed
geographic
pattern,
with
higher
at
lower
latitudes,
suggesting
warmer
regions.
Particularly,
highlighted
role
phylotypes
enhancing
community
microbiome,
which
was
essential
maintenance
multifunctionality
ecosystems.
Our
results
represent
significant
advance
linking
therefore
forecasting
agro-ecosystems
dynamics
response
ongoing
These
suggest
should
be
considered
factor
sustainability
productivity
under
global
change
scenarios.
Global Ecology and Biogeography,
Journal Year:
2021,
Volume and Issue:
30(7), P. 1488 - 1501
Published: May 19, 2021
Abstract
Aim
A
predictive
understanding
of
the
mechanisms
underlying
microbial
biogeographical
patterns
is
great
interest,
particularly
with
respect
to
phylogenetic
distributions
their
ecological
adaptations.
Here,
we
test
whether
information
can
predict
distributions,
community
assembly
and
species
co‐occurrence
soil
archaea.
Location
Northern
China.
Time
period
July
August
2017.
Major
taxa
studied
Archaeal
communities.
Methods
By
conducting
a
large‐scale
(transect
intervals
1,257.6
km)
study
across
agricultural
field,
forest,
wetland,
grassland
desert
biomes,
applied
framework
niche
conservatism
investigate
archaeal
biogeography,
network
topology.
We
examined
signal
based
on
Blomberg's
K
environmental
preference
given
taxon
was
related
phylogeny,
corresponding
degree
for
niches
complex
gradients.
evaluated
processes
communities
null
model
Sloan
neutral
analyses.
then
explored
major
factors
that
influenced
coexistence
Results
Soil
exhibited
strong
climate‐related
preferences.
Mean
annual
precipitation
(MAP)
had
strongest
signal,
this
mediated
both
coexistence,
stronger
deterministic
less
in
environments
lower
precipitation.
Phylogenetic
diversity
closely
linked
balance
processes;
is,
stochastic
were
dominant
low‐diversity
communities,
whereas
variable
selection
promoted
high
diversity.
Main
conclusions
conclude
archaea
drives
distributions.
Our
findings
represent
considerable
advance
linking
therefore
forecasting
evolutionary
adaptations
response
ongoing
changes.