Microorganisms,
Journal Year:
2024,
Volume and Issue:
12(12), P. 2550 - 2550
Published: Dec. 11, 2024
In
aquatic
benthic
environments,
organisms
have
been
found
to
regulate
important
biogeochemical
characteristics
and
perform
key
ecosystem
functions.
To
further
explore
the
ecological
impact
of
snail
Bellamya
purificata’s,
presence
on
environment,
we
employed
high-throughput
sequencing
technology
investigate
its
effects
bacterial,
fungal,
protist
communities
in
sediment
their
intrinsic
interactions.
Our
findings
revealed
that
B.
purificata’s
significantly
enhanced
diversity
evenness
fungal
community
while
simultaneously
decreasing
richness
community,
it
also
altered
composition
relative
abundance
dominant
phyla
across
communities.
The
purificata
considerably
co-occurrence
networks
microbial
communities,
particularly
by
enhancing
complexity
strengthening
interconnections
among
protist,
Notably,
proportions
specialists
within
declined
due
purificata.
Its
notably
expanded
habitat
niche
breadth
for
bacteria
protists.
terms
assembly,
shifted
assembly
from
being
dominated
stochastic
processes
deterministic
processes,
whereas
processes.
mainly
assemblies
were
drift
homogenizing
selection.
Additionally,
resulted
a
notable
reduction
ON
level
significant
increase
ammonia,
FA,
EN
concentrations.
Sediment
properties,
FA
nitrate,
strongly
correlated
with
contributors
changes
dynamics.
These
research
not
only
broadened
our
understanding
impacts
but
highlighted
substantial
potential
stability.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: May 31, 2024
Abstract
Microbial
communities
play
a
crucial
role
in
ocean
ecology
and
global
biogeochemical
processes.
However,
understanding
the
intricate
interactions
among
diversity,
taxonomical
composition,
functional
traits,
how
these
factors
respond
to
climate
change
remains
significant
challenge.
Here,
we
propose
seven
distinct
ecological
statuses
by
systematically
considering
structure,
potential
of
microbiome
delineate
their
biogeography.
Anthropogenic
is
expected
alter
status
surface
influencing
environmental
conditions,
particularly
nutrient
oxygen
contents.
Our
predictive
model,
which
utilizes
machine
learning,
indicates
that
approximately
32.44%
may
undergo
changes
from
present
end
this
century,
assuming
no
policy
interventions.
These
mainly
include
poleward
shifts
main
taxa,
increases
photosynthetic
carbon
fixation
decreases
metabolism.
proportion
can
decrease
significantly
with
effective
control
greenhouse
gas
emissions.
study
underscores
urgent
necessity
for
implementing
policies
mitigate
change,
an
perspective.
FEMS Microbiology Reviews,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 17, 2024
Abstract
Microbial
functional
ecology
is
expanding
as
we
can
now
measure
the
traits
of
wild
microbes
that
affect
ecosystem
functioning.
Here,
review
techniques
and
advances
could
be
bedrock
for
a
unified
framework
to
study
microbial
functions.
These
include
our
newfound
access
environmental
genomes,
collections
traits,
but
also
ability
microbes’
distribution
expression.
We
then
explore
technical,
ecological,
evolutionary
processes
explain
patterns
diversity
redundancy.
Next,
suggest
reconciling
microbiology
with
biodiversity-ecosystem-functioning
studies
by
experimentally
testing
significance
redundancy
efficiency,
resistance,
resilience
processes.
Such
will
aid
in
identifying
state
shifts
tipping
points
microbiomes,
enhancing
understanding
how
where
microbiomes
guide
Earth's
biomes
context
changing
planet.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Feb. 1, 2025
The
shrinkage
of
glaciers
and
the
vanishing
glacier-fed
streams
(GFSs)
are
emblematic
climate
change.
However,
forecasts
how
GFS
microbiome
structure
function
will
change
under
projected
scenarios
lacking.
Combining
2,333
prokaryotic
metagenome-assembled
genomes
with
climatic,
glaciological,
environmental
data
collected
by
Vanishing
Glaciers
project
from
164
GFSs
draining
Earth's
major
mountain
ranges,
we
here
predict
future
until
end
century
various
scenarios.
Our
model
framework
is
rooted
in
a
space-for-time
substitution
design
leverages
statistical
learning
approaches.
We
that
declining
selection
promotes
primary
production
GFSs,
stimulating
both
bacterial
biomass
biodiversity.
Concomitantly,
predictions
suggest
phylogenetic
entire
clades
at
risk.
Furthermore,
genomic
projections
reveal
functions
shift,
intensified
solar
energy
acquisition
pathways,
heterotrophy
algal-bacterial
interactions.
Altogether,
'greener'
world's
accompanied
loss
have
adapted
to
harshness,
consequences
for
ecosystem
functioning.
mLife,
Journal Year:
2025,
Volume and Issue:
4(2), P. 205 - 218
Published: April 1, 2025
Abstract
Microorganisms
dominate
marine
environments
in
the
polar
oceans
and
are
known
to
harbor
greater
diversity
abundance
than
was
once
thought,
yet,
little
is
about
their
biogeographic
distribution
patterns
sediments
at
a
broad
spatial
scale.
In
this
study,
we
conducted
extensive
sampling
of
along
latitudinal
transect
spanning
2500
km
from
Bering
Sea
Arctic
Ocean
investigate
geographical
bacteria,
archaea,
fungi.
Our
findings
revealed
that
community
similarities
bacteria
fungi
decay
similar
rates
with
increasing
distance
(slope:
−0.005
−0.002),
which
much
lower
rate
archaeal
communities
−0.012).
Notably,
microbial
richness
composition
showed
significant
differences
region
75−80°N
compared
other
regions
60−75°N.
Salinity,
temperature,
pH,
ammonium
nitrogen,
total
organic
carbon
key
factors
significantly
affect
variations.
Furthermore,
bacterial
co‐occurrence
networks
more
complex
interactions
but
modularity
fungal
counterparts.
This
study
provides
crucial
insights
into
will
be
critical
for
better
understanding
global
ecological
functions.
Global Change Biology,
Journal Year:
2024,
Volume and Issue:
30(11)
Published: Nov. 1, 2024
ABSTRACT
Soil
microbiota
in
intensive
agriculture
are
threatened
by
pesticides,
economic
activities,
and
land‐use
changes.
However,
the
interactions
among
these
anthropogenic
factors
remain
underexplored.
By
analyzing
2356
soil
metagenomes
from
around
world,
we
developed
a
comprehensive
health‐microbial
index
that
integrates
microbial
diversity,
nutrient
cycling
potential,
metabolic
primary
productivity,
health
risks
to
assess
how
respond
factors.
Our
results
indicated
was
lowest
with
severe
pesticide
contamination.
Pesticides,
combination
other
climatic
factors,
exacerbate
decline
this
index.
Machine
learning
predictions
suggest
approximately
26%
of
global
farmland
could
between
2015
2040,
even
under
sustainable
development
scenarios.
Even
strategies
reduce
usage,
cannot
completely
halt
findings
highlight
sustaining
on
scale
requires
addressing
not
only
management
but
also
broader
impacts.
Frontiers in Marine Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Oct. 16, 2024
Plankton
play
an
indispensable
role
in
the
biogeochemical
processes
of
marine
ecosystem.
However,
unraveling
intricate
interactions
among
biodiversity,
trophic
linkages,
and
biotic-abiotic
interplay
between
phytoplankton-zooplankton
remains
a
significant
challenge.
Here,
we
conducted
field
studies
neritic
area
Bohai
Sea
during
autumn
2023
spring
2024
to
explore
seasonal
variations
both
phytoplankton
zooplankton
through
microscope.
Our
analysis
revealed
sharp
decline
across
zooplankton,
with
abundance
ratio
being
5.5
times
higher
than
2024.
Additionally,
dominant
plankton
species
(Y
≥
0.02)
exhibited
obvious
differences
two
seasons,
diversity
observed
autumn.
Moreover,
each
had
distinct
preferred
food
items
Rhizosolenia
setigera
favored
by
Noctiluca
scintillans
Acartia
pacifica.
Furthermore,
multivariate
biota-environment
indicated
that
unique
correlation
specific
environmental
parameters,
highlighting
how
can
fully
exploit
external
conditions
survive
variations.
Ultimately,
our
findings
emphasize
dynamics
provide
solid
foundation
for
assessing
potential
impacts
changes
on
coastal
realm.
Applied and Environmental Microbiology,
Journal Year:
2024,
Volume and Issue:
90(11)
Published: Nov. 4, 2024
ABSTRACT
Cyanobacterial
blooms
pose
environmental
and
health
risks
due
to
their
production
of
toxic
secondary
metabolites.
While
current
methods
for
assessing
these
have
focused
primarily
on
bloom
frequency
intensity,
the
lack
comprehensive
comparable
data
cyanotoxins
makes
it
challenging
rigorously
evaluate
risks.
In
this
study,
we
examined
750
metagenomic
sets
collected
from
103
lakes
worldwide.
Our
analysis
unveiled
diverse
distributions
cyanobacterial
communities
genes
responsible
cyanotoxin
across
globe.
approach
involved
integration
biomass,
biosynthetic
potential
cyanotoxin,
effects
toxins
establish
findings
revealed
that
nearly
half
assessed
posed
medium
high
associated
with
cyanobacteria.
The
regions
greatest
concern
were
East
Asia
South
Asia,
particularly
in
developing
countries
experiencing
rapid
industrialization
urbanization.
Using
machine
learning
techniques,
mapped
model
results
a
positive
correlation
between
factors
such
as
temperature,
N
2
O
emissions,
human
influence
index.
These
underscore
variables
proliferation
By
introducing
novel
quantitative
method
monitoring
global
scale,
our
study
contributes
assessment
management
one
most
pressing
threats
both
aquatic
ecosystems
health.
IMPORTANCE
research
introduces
risk
assessment,
offering
insights
into
toxicity
perspective.
distinct
geographical
variations
coupled
intricate
interplay
complexity
managing
at
scale.
systematic
targeted
surveillance
enables
worldwide
cyanobacteria-based
risks,
providing
an
early
warning
system.
Coasts,
Journal Year:
2024,
Volume and Issue:
4(4), P. 687 - 696
Published: Nov. 20, 2024
“Blue
carbon”
refers
to
the
carbon
sequestered
by
world’s
oceanic
and
coastal
ecosystems,
particularly
through
vegetation
such
as
mangroves,
salt
marshes,
seagrasses,
marine
macroalgae.
These
ecosystems
play
a
crucial
role
in
global
cycle
serving
significant
sinks,
absorbing
dioxide
from
atmosphere
storing
it
biomass
sediments
over
long
periods.
This
study
explores
use
of
environmental
DNA
(eDNA)
detect
macrophytes
microalgae
assemblages
contributing
blue
across
various
ecosystems.
The
research
addresses
challenges
traditional
monitoring
methods
utilizing
high-throughput
sequencing
18S-V9
region
amplified
using
eDNA
sediment
samples
collected
at
eight
locations
United
States
South
Korea.
results
reveal
diverse
array
taxa,
underscoring
variability
community
composition
different
conditions.
Notably,
sites
with
seagrass
beds
Ulva
blooms
showed
distinct
patterns
microalgal
structure.
underscores
potential
analysis
providing
comprehensive
insights
into
biodiversity
macrophyte
thus
informing
conservation
efforts
enhancing
understanding
ecological
dynamics.