Soil Use and Management,
Journal Year:
2024,
Volume and Issue:
40(1)
Published: Jan. 1, 2024
Abstract
The
construction
of
dams
and
subsequent
water
level
fluctuations
significantly
alters
the
environmental
conditions
reservoir
ecosystems,
affecting
metabolic
pathways
CO
2
fixing
microorganisms
(CFMs)
carbon
storage
in
drawdown
areas.
We
investigated
response
soil
bacterial
communities
fixation
to
periodic
flooding
drying
at
different
elevations
by
collecting
surface
samples
(0–10
cm)
area
Three
Gorges
Reservoir.
results
show
that
increased
complexity
co‐occurrence
networks.
identified
reductive
citrate
cycle
(rTCA
cycle),
dicarboxylate‐hydroxybutyrate
(DC/4‐HB
3‐Hydroxypropionate
(3‐HP
cycle)
pentose
phosphate
(Calvin
as
main
pathways.
Notably,
inundation
duration
increased,
abundance
Calvin
its
key
gene
(
cbb
L)
gradually
decreased.
also
found
moisture,
pH
organic
components
affected
composition
These
findings
elucidate
evolutionary
trends
impacts
on
microbial‐mediated
cycling
processes
because
dam
construction.
Biogeosciences,
Journal Year:
2025,
Volume and Issue:
22(6), P. 1543 - 1556
Published: March 24, 2025
Abstract.
Methylmercury
(MeHg),
accumulated
in
rice
grains,
is
highly
toxic
for
humans.
Its
production
largely
driven
by
microbial
methylation
paddy
soils;
however,
dissolved
organic
matter
(DOM)
a
critical
component
of
the
soil
biogeochemistry
process,
yet
its
interactions
with
microorganisms
involved
MeHg
remain
poorly
understood.
Here,
we
conducted
hgcA
gene
sequencing
and
genome-resolved
metagenomic
analysis
to
identify
core
Hg-methylating
microbiomes
investigate
effect
DOM
on
soils
across
Hg
contamination
gradient.
In
general,
communities
varied
degree
soils.
Surprisingly,
microbiome
was
identified
that
exclusively
associated
concentration.
The
partial
Mantel
test
revealed
strong
linkages
among
composition,
DOM,
Structural
equation
models
further
indicated
composition
significantly
impacted
concentration,
contributing
89
%
observed
variation,
while
plays
crucial
role
determining
accounting
65
%.
These
results
suggested
regulates
altering
microbiomes.
presence
various
genes
carbon
metabolism
metagenome-assembled
genome
suggests
different
stimulates
activity
methylate
Hg,
which
confirmed
pure
incubation
experiment
Geobacter
sulfurreducens
PCA
(a
microorganism)
amended
natural
solution
extracted
from
investigated
Overall,
simultaneously
changes
functional
thus
enhances
Land Degradation and Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 14, 2025
ABSTRACT
Soil
organic
matter
(SOM)
was
the
primary
component
of
global
terrestrial
carbon
sink.
enzymes
were
important
drivers
soil
metabolism
facilitating
materials
cycling
and
energy
flow
in
soils.
However,
relationship
between
SOM
composition
various
land
use
types
had
not
been
clearly
understood.
In
current
study,
pyrolysis
gas
chromatography/mass
spectrometry
(Py‐GC/MS)
used
to
analyze
three
(grassland,
forest,
cropland)
enzyme
activity
upper
watershed
Danjiangkou
Reservoir
China.
The
C‐cycling
glucosidase,
cellobiose
glycosidase,
xylosidase,
P‐cycling
alkaline
phosphatase,
N‐cycling
leucine
aminopeptidase
grassland
highest
but
S‐cycling
methylumbelliferryl
sulfate
potassium
salt
lowest
grassland.
forest.
Aliphatic
(23.1%–25.1%),
N‐compounds
(16.69%–21.17%),
aromatic
(11.76%–12.61%)
most
abundant
components
complexity
molecular
network
forest
highest.
Additionally,
all
acetylglucosaminidase
significantly
positively
related
proportion
polysaccharides
negatively
terpenoids.
Our
study
emphasized
that
affected
activities
further
revealed
difference
uses
probably
nitrogen‐containing
compounds,
polysaccharides,
terpenoids
SOM.
Land Degradation and Development,
Journal Year:
2022,
Volume and Issue:
33(7), P. 1076 - 1087
Published: Feb. 10, 2022
Abstract
To
test
the
applicability
of
alternate
land
use
systems
for
improving
soil
functionality
in
restored
ecologies,
soils
were
sampled
from
0–15,
15–30
and
30–45
cm
deep
layers
Leucaena
leucocephala
(LL),
Hardwickia
binata
(HB),
Emblica
officinalis
(EO),
Azadiracta
indic
a
(AI)‐based
silviculture
systems;
Acacia
nilotica
‐based
silvipasture
(AN);
natural
grassland
(NG).
These
compared
with
samples
fallow
(F).
They
evaluated
their
carbon
management
index
(CMI),
nutrient
supply
capacity
(NSC),
(SF),
ecorestoration
efficiency
(ERE)
21‐day
cumulative
microbial
respiration
(CO
2
‐21)
to
assess
semiarid
India.
Soil
functional
diversity
as
impacted
by
restoration
have
remained
largely
overlooked.
The
LL
had
~12,
7
11%
higher
CMI
than
layers.
ERE
was
~
55,
65
79%
layers,
respectively.
However,
surface
layer
poorer
subsequent
all
systems.
LL,
HB
AN
improved
NSC
SF
by:
a)
2.5‐,
2.2‐
1.6‐times;
b)
9.3‐,
5.3‐
5.1‐times
over
layer.
A
similar
trend
observed
lower
topsoil
>16%
mean
values
~4.2‐,
2.3‐
1.9‐times
CO
‐21
top
positively
correlated
but
could
not
predict
well.
Hence,
legume
tree‐based
tactics
might
be
useful
regions.
Environmental Microbiology,
Journal Year:
2022,
Volume and Issue:
24(9), P. 3985 - 4000
Published: March 2, 2022
Summary
The
mechanisms
underlying
microbial
community
dynamics
and
co‐occurrence
patterns
along
ecological
succession
are
crucial
for
understanding
ecosystem
recovery
but
remain
largely
unexplored.
Here,
we
investigated
taxa
in
bacterial
fungal
communities
across
a
well‐established
chronosequence
of
post‐mining
lands
spanning
54
years
recovery.
Bacterial
structures
became
increasingly
phylogenetically
clustered
with
soil
age
at
early
successional
stages
varied
less
later
stages.
phylogenetic
were
determined
by
the
changes
vegetation
cover
succession.
did
not
significantly
correlate
age,
properties
or
cover,
mainly
attributed
to
stochastic
processes.
Along
succession,
common
decrease
complexity
average
pairwise
distances
between
co‐occurring
bacteria
implied
potential
cooperation.
increased
was
independent
relatedness
fungi.
This
study
provides
new
sights
into
Frontiers in Forests and Global Change,
Journal Year:
2024,
Volume and Issue:
7
Published: April 8, 2024
The
dissolved
organic
matter
(DOM)
in
forest
ecosystems
significantly
impacts
soil
carbon
cycling
due
to
its
active
turnover
characteristics.
However,
whether
different
plantation
profiles
exhibit
distinct
DOM
characteristics
remains
unclear.
Hence,
utilizing
fluorescence
spectroscopy
and
the
parallel
factor
analysis
(PARAFAC)
method,
a
1-meter
profile
was
carried
out
on
three
artificial
forests
(
Pinus
tabuliformis
(PT),
Quercus
crispula
(QC),
mixed
of
PT
QC
(MF)),
concurrently
assessing
impact
chemical
properties
enzyme
activity
(DOM).
findings
indicated
that
mean
concentration
(DOC)
greatest
MF
lowest
PT,
exhibiting
considerable
variation
with
depth,
suggesting
tree
species
may
promote
discharge
matter.
spectra
revealed
two
peaks:
humic-like
peaks
(Peaks
A
C)
protein-like
peak
(Peak
T),
most
intense
observed
soil.
As
depth
increased,
intensity
Peaks
C
steadily
declined,
while
Peak
T
rose.
Four
components
were
identified
types
plantations
forests:
surface
dominated
by
humic
acid-like
fluorescent
(C1
C2),
deep
primarily
characterized
(C3
C4).
Different
parameter
indices
source
(i.e.,
0–20
cm)
mainly
allochthonous
inputs,
whereas,
60–100
cm),
it
autochthonous,
such
as
microbial
activity.
from
partial
least
squares
path
modeling
(PLS-PM)
TP,
aP,
NH
4
+
-N,
combined
enzymes
influential
shaping
diversity
attributes.
Put
differently,
alterations
concomitantly
influenced
classification,
characteristics,
depth.
It
has
been
demonstrated
that,
contrast
monoculture
forests,
establishment
models
more
advantageous
enhancing
These
discoveries
offer
innovative
perspectives
dynamic
influencing
factors
under
planting
patterns.