Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 4, 2023
Abstract
Purpose
Clarifying
the
response
of
soil
microbial
communities
to
vegetation
restoration
is
essential
comprehend
biogeochemical
processes
and
ensure
long-term
viability
forest
development.
Nonetheless,
it
remains
uncertain
how
plants
influence
properties,
particularly
in
ecologically
vulnerable
areas
like
karst
region.
Methods
To
assess
variations
throughout
growth
Pinus
armandii
plantations
region,
we
utilized
"space
instead
time"
approach
selected
four
P.
stands
with
ages
ranging
from
10
47
years,
along
a
grassland
control.
The
community
structure
was
determined
by
conducting
Illumina
sequencing
16S
rRNA
gene
ITS
gene,
respectively.
Results
results
demonstrated
that
afforestation
significantly
influenced
communities,
as
indicated
notable
differences
bacterial
fungal
composition
diversity
between
However,
microbe
did
not
display
significant
variation
across
stand
ages.
Moreover,
exhibited
higher
responsiveness
age
gradients
compared
community.
Soil
physicochemical
factors
play
critical
role
elucidating
during
processes.
Conclusions
Overall,
our
findings
indicate
substantial
changes
successive
stages
Additionally,
dominant
bacteria
fungi
characteristics
gradient
were
primarily
attributed
prevailing
conditions
chemical
factors.
Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 16, 2025
ABSTRACT
Alpine
wetlands
on
the
Tibetan
Plateau
are
important
carbon
pools
and
undergoing
severe
degradation,
generally
with
decreasing
vegetation
soil
water
contents.
However,
ecological
responses
of
alpine
to
hydrological
changes
vary
greatly
among
habitats.
In
this
study,
topsoil
from
meadows
(degraded
wetlands)
was
incubated
under
50%,
70%,
100%
saturated
content
(SWC)
then
characterized
based
nutrients,
enzyme
activities,
molecular
composition
dissolved
organic
matter
(metabolomes),
microbial
communities
(metagenomes).
Compared
meadow
soils,
wetland
soils
had
greater
nutrient
contents
hydrolase
activities
more
complex
compositions
metabolomes
metabolomes.
After
incubation,
presented
highest
all
enzymes
70%
SWC,
whereas
β‐glucosidase
acid
phosphatase
50%
both
together
lowest
phosphorus
content.
Drought
increased
number
species
in
but
decreased
that
soils.
The
Shannon
Pielou
indices
were
SWC
(in
or
meadows)
soils)
significantly
positively
correlated
activity
Distance‐based
redundancy
analysis
revealed
role
peroxidase
wetlands.
Procrustes
further
indicated
different
drought‐induced
two
This
study
deepens
our
understanding
soil‐type‐related
ecosystems
provides
a
valuable
reference
for
application
emerging
multiomics
techniques.
Microbial Ecology,
Journal Year:
2024,
Volume and Issue:
87(1)
Published: Jan. 24, 2024
Abstract
Clarifying
the
response
of
soil
microbial
communities
to
vegetation
restoration
is
essential
comprehend
biogeochemical
processes
and
ensure
long-term
viability
forest
development.
To
assess
variations
in
throughout
growth
Pinus
armandii
plantations
karst
region,
we
utilized
“space
instead
time”
approach
selected
four
P.
stands
with
ages
ranging
from
10
47
years,
along
a
grassland
control.
The
community
structure
was
determined
by
conducting
Illumina
sequencing
16
S
rRNA
gene
ITS
gene,
respectively.
results
demonstrated
that
afforestation
significantly
influenced
communities,
as
indicated
notable
differences
bacterial
fungal
composition
diversity
between
However,
microbe
did
not
display
significant
variation
across
stand
ages.
Moreover,
exhibited
higher
responsiveness
age
gradients
compared
community.
Soil
physicochemical
factors
play
critical
role
elucidating
during
processes.
TN,
AN,
TP,
AP,
SOC,
AK,
pH
were
most
influencing
for
community,
while
TC,
pH,
TC
Our
findings
indicate
substantial
changes
successive
stages
Additionally,
dominant
bacteria
fungi
characteristics
gradient
primarily
attributed
prevailing
conditions
chemical
factors.
Frontiers in Microbiology,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 8, 2025
Soil
fungi
are
essential
to
ecosystem
processes,
yet
their
elevational
distribution
patterns
and
the
ecological
mechanisms
shaping
communities
remain
poorly
understood
actively
debated,
particularly
in
arid
regions.
Here,
we
investigated
diversity
underlying
soil
fungal
along
an
gradient
(1,707-3,548
m)
on
northern
slope
of
Central
Kunlun
Mountains
northwest
China.
Results
indicated
that
dominant
phyla
identified
across
seven
gradients
were
Basidiomycota
Ascomycota,
displaying
a
unimodal
pattern
U-shaped
relative
abundance,
respectively.
saprotroph
nectar/tap
functional
groups
(>1.0%).
Along
gradients,
α-diversity
demonstrated
generally
decreasing
trend,
whereas
β-diversity
showed
contrasting
increasing
trend.
Among
environmental
variables,
altitude
climate
(mean
annual
precipitation,
MAP;
mean
temperature,
MAT)
strongest
predictors
for
α-diversity.
Partial
least
squares
path
modeling
(PLSPM)
analysis
revealed
water
content
(Wat)
was
most
influential
factor
driving
α-diversity,
while
vegetation
coverage
(Veg)
emerged
as
primary
determinant
community
composition.
The
influence
Wat
shifted
from
indirect
direct
elevation
increased,
transitioning
lower
elevations
(≤2,448
higher
(≥2,746
m).
Similarly,
impact
Veg
composition
exhibited
comparable
pattern.
null
model
homogeneous
selection
dispersal
limitation
dominated
assembly
at
than
2,448
m
2,746
m,
Variations
processes
may
be
linked
changes
key
factors
elevation-dependent
manner.
These
findings
can
enhance
our
ability
predict
responses
change
ecosystems
Mountain.
Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 12, 2025
ABSTRACT
The
establishment
of
artificial
grasslands
is
a
recognized
method
for
restoring
severely
degraded
alpine
meadows,
yet
its
impact
on
soil
fungi
remains
poorly
understood.
To
investigate
the
grassland
fungal
communities,
we
selected
typical
4‐year‐old
as
research
subject,
with
non‐degraded
and
extremely
meadows
serving
controls.
Soil
communities
functional
groups
were
analyzed
using
Illumina
sequencing
internal
transcribed
spacer
(ITS)
genes,
predicted
FUNGuild
database.
results
indicated
that
had
significant
vegetation
properties,
while
not
affecting
nutrient
contents.
Additionally,
established
significantly
increased
diversity
but
did
alter
abundance
dominant
phyla
except
Ascomycota.
ecological
network
analysis
revealed
(0.0910)
markedly
decreased
robustness
compared
to
(0.2040)
(0.1790),
suggesting
unfavorable
conditions
interactions.
Moreover,
properties
(Shannon
Richness
indices)
primary
factors
influencing
groups,
networks.
Our
findings
indicate
rapidly
restores
does
support
restoration
communities.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Oct. 27, 2024
The
mechanism
of
the
difference
in
bacterial
community
composition
caused
by
environmental
factors
underground
coal
mine
is
unclear.
In
order
to
reveal
influence
mining
activities
on
characteristics
structure
seam,
16S
rRNA
gene
amplicon
sequencing
technology
was
used
determine
species
abundance,
biodiversity,
and
abundance
a
Shanxi
Province,
such
as
metal
elements,
non-metal
pH
value,
gas
concentration
samples
were
determined.
results
showed
that
communities
had
obvious
regional
characteristics.
Mining
greatly
affected
α
diversity
communities,
working
face
>
main
airway
roadway
roof
unexposed
seam
tunneling
roadway.
each
sample
point
also
very
different.
airway,
roof,
are
dominated
Actinobacteria
while
Proteobacteria.
Among
abundances
metabolic
pathways
site,
Citrate
cycle
greatest
difference,
followed
glycine,
serine
threonine
metabolism,
oxidative
phosphorylation
methane
metabolism
little
difference.
RDA
analysis
affecting
mainly
cadmium,
oxygen,
hydrogen,
content.
CCA
divided
into
three
categories.
Degradation
functional
bacteria
located
face,
tolerate
poor
environments
roadway,
human
pathogens
mostly
seam.
research
would
provide
support
for
realizing
green
safe
mines.
Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
14(10)
Published: Oct. 1, 2024
ABSTRACT
About
35%
of
grassland
in
Sanjiangyuan
area
China
has
degenerated
into
black‐soil
mountain.
Artificial
is
considered
to
be
an
effective
measure
alleviate
the
severely
degraded
alpine
region
three
rivers
and
been
widely
used.
However,
pattern,
potential
function,
changes
carbon
nitrogen
contents
soil
microorganisms
Heimushan
by
planting
artificial
are
still
unclear.
In
this
study,
mixed‐sown
(AG)
was
focus
our
whereas
mountain
(BG)
natural
(NG)
served
as
controls.
Illumina
16S
ITS
gene
sequence
analyses
were
used
analyze
community
structure
bacteria
fungi.
The
functional
groups
NG,
AG,
BG
predicted
using
FAPROTAX
FUNGuild
databases.
addition,
levels
carbon,
nitrogen,
enzyme
activities
evaluated.
results
indicated
a
significant
increase
aboveground
biomass
due
grassland.
Moreover,
total
(TC),
(TN),
ammonium
(),
microbial
(MBC),
(MBN),
leucine
aminopeptidase
(LAP)
increased
soil.
Planting
grasslands
changed
composition
bacterial
fungal
communities.
Among
these,
more
sensitive
grasslands.
relative
abundance
involved
cycling
significantly,
suggesting
that
may
play
role
regulating
nutrient
during
planting.
Soil
TC,
TN,
LAP,
affected
related
nitrogen.
β‐1,4‐glucosidase
factors,
respectively,
These
indicate
can
effectively
enhance
productivity
regulate
communities
physical
chemical
properties.
