Microorganisms,
Journal Year:
2025,
Volume and Issue:
13(2), P. 319 - 319
Published: Feb. 1, 2025
Microorganisms
are
instrumental
in
river
ecosystems
and
participate
biogeochemical
cycles.
It
is
thought
that
dynamic
hydrological
processes
rivers
influence
microbial
community
assembly,
but
the
seasonal
succession
assembly
of
sediments
on
Loess
Plateau
remain
unclear.
This
study
used
high-throughput
sequencing
technology
(16S
ITS)
neutral
model
to
analyze
associated
with
communities
Dali
River,
a
tributary
Yellow
River
Plateau.
The
results
showed
sediment
bacterial
fungal
diversity
indexes
non-flood
season
were
1.03–3.15
times
greater
than
those
flood
season.
There
obvious
variations
between
seasons
microorganisms.
similarities
among
all,
abundant,
rare
decreased
as
geographical
distance
increased.
Proteobacteria
(52.5–99.6%)
Ascomycota
(22.0–34.2%)
primary
phyla
communities.
Sediment
ammonia
nitrogen,
water
temperature,
organic
carbon
significantly
affected
(p
<
0.05)
structure
microorganism
ecological
networks
for
had
complex
topological
parameters.
was
driven
by
deterministic
processes,
while
dominated
stochastic
processes.
These
expanded
understanding
about
characteristics
provided
insights
into
factors
driving
networks.
Environmental Research,
Journal Year:
2025,
Volume and Issue:
unknown, P. 121025 - 121025
Published: Feb. 1, 2025
To
evaluate
the
potential
differences
in
plankton
diversity
and
stability
within
freshwater
lake
reservoir
ecosystems,
this
study
employed
eDNA
metabarcoding
to
analyze
diversity,
assembly
mechanisms,
stability,
environmental
drivers
of
communities
natural
water
(Y
region)
artificial
(M
at
Liupanshui
Minghu
National
Wetland
Park,
Guizhou
Province,
China.
The
revealed
notable
regional
variations
mechanisms.
Specifically,
Shannon,
Simpson,
Pielou's
evenness
indices
were
higher
M
region,
suggesting
a
more
complex
species
composition
compared
Y
region.
Analysis
community
mechanisms
indicated
that
both
regions
influenced
by
combination
stochastic
deterministic
processes,
with
processes
serving
as
dominant
driver.
Through
LEfSe
analysis,
Random
Forest
predictions,
molecular
ecological
network
evaluations,
certain
OTUs
identified
"dual-characteristic"
consistently
highlighted.
These
may
play
critical
role
shaping
contributing
stability.
Environmental
further
clarified
these
differences.
Redundancy
analysis
(RDA)
demonstrated
TDS
was
primary
factor
driving
key
zooplankton
species,
while
EC
DO
significant
factors
influencing
distribution
phytoplankton
species.
Stability
assessments,
which
combined
coefficient
variation
population
density,
This
indicates
system
has
greater
resistance
disturbances
findings
provide
fundamental
support
for
assessing
health
aquatic
well
effective
monitoring
biodiversity
conservation
ecosystems.
