Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: Dec. 11, 2024
Sediments
are
key
reservoirs
for
rare
bacterial
biospheres
that
provide
broad
ecological
services
and
resilience
in
riverine
ecosystems.
Compared
with
planktons,
there
is
a
lack
of
knowledge
regarding
the
differences
between
abundant
taxa
benthic
bacteria
along
large
river.
Here,
we
offer
comprehensive
insights
into
spatiotemporal
distributions,
co-occurrence
networks,
assembly
processes
three
divided
categories
namely
always
(ART),
conditionally
(CRT),
(CRAT)
sediments
covering
distance
4,300
km
Yangtze
River.
Our
study
demonstrated
ART/CRT
contributed
greatly
to
higher
Chao-1
index,
Shannon-Wiener
phylogenetic
alpha
diversity
autumn
than
spring.
ART
showed
high
overall
beta
diversity,
CRT/CRAT
exhibited
more
significant
distance-decay
patterns
both
seasons,
mainly
corresponding
macroscopic
landform
types.
CRT
predominated
nonrandom
network,
97%
keystone
species
mostly
affiliated
Acidobacteriota
flourishing
lower-reach
plain.
Two
selection
had
greatest
influences
on
(74.7–77.6%),
whereas
CRAT
were
driven
primarily
by
dispersal
limitation
(74.9–86.8%)
heterogeneous
(33.9–48.5%)
undominated
stochasticity
(32.7–36.5%).
Natural
factors
such
as
river
flow
channel
slope
correlations
community
variation
nutrients
all
groups,
total
organic
carbon
mediated
balance
among
distinct
seasons.
Taken
together,
these
results
an
improved
understanding
discrepancy
biogeographic
Asia’s
largest
Frontiers in Microbiology,
Journal Year:
2024,
Volume and Issue:
15
Published: May 1, 2024
Karst
rocky
desertification
refers
to
the
process
of
land
degradation
caused
by
various
factors
such
as
climate
change
and
human
activities
including
deforestation
agriculture
on
a
fragile
karst
substrate.
Nutrient
limitation
is
common
in
areas.
Moss
crust
grows
widely
The
microorganisms
associated
with
bryophytes
are
vital
maintaining
ecological
functions,
regulation
nutrient
circulation.
synergistic
effect
moss
crusts
may
hold
great
potential
for
restoring
degraded
ecosystems.
However,
our
understanding
responses
microbial
communities,
especially
abundant
rare
taxa,
limitations
acquisition
presence
limited.
Different
habitats
exhibit
varying
patterns
availability,
which
also
affect
diversity
composition.
Therefore,
this
study,
we
investigated
three
mosses:
autochthonal
under
forest,
lithophytic
forest
cliff
rock.
We
measured
soil
physicochemical
properties
enzymatic
activities.
conducted
high-throughput
sequencing
analysis
microorganisms.
Our
finding
revealed
that
had
higher
availability
proportion
copiotrophic
communities
compared
or
enzyme
were
lower
forest.
Additionally,
taxa
exhibited
distinct
structures
all
habitats.
Analysis
co-occurrence
network
showed
relatively
high
main
modules.
Furthermore,
found
both
primarily
assembled
stochastic
processes.
Soil
significantly
affected
community
assembly
indirectly
affecting
complexity
finally
acquisition.
These
findings
highlight
importance
Addressing
knowledge
gap
essential
guiding
ongoing
restoration
projects
regions.
Frontiers in Plant Science,
Journal Year:
2024,
Volume and Issue:
15
Published: July 25, 2024
The
epiphytic
bacteria
in
aquatic
ecosystems,
inhabiting
a
unique
ecological
niche
with
significant
function,
have
long
been
the
subject
of
attention.
Habitat
characteristics
and
plant
species
are
believed
to
be
important
controlling
assembly
bacteria.
However,
underlying
principle
governing
bacterial
community
on
macrophytes
is
far
from
clear.
In
this
study,
we
systematically
compared
diversity
composition
both
different
habitats
where
they
were
attached.
Results
suggested
that
neither
nor
habitat
had
effect
independently,
indicating
was
correlated
geographical
distance
individual
macrophytes.
Furthermore,
almost
all
abundant
taxa
shared
between
lake
regions
or
macrophyte
species,
most
belonged
Proteobacteria
Firmicutes.
Our
results
demonstrated
competitive
lottery
model
may
explain
pattern
colonization
submerged
surfaces.
This
research
could
provide
new
perspective
for
exploring
plant-microbe
interaction
systems
evidence
as
mechanism
best
explaining
