Microorganisms,
Journal Year:
2024,
Volume and Issue:
12(12), P. 2665 - 2665
Published: Dec. 22, 2024
The
increasing
prevalence
of
harmful
algal
blooms
(HABs)
driven
by
eutrophication,
particularly
in
China's
nearshore
waters,
is
a
growing
concern.
Dinoflagellate
Heterocapsa
bohaiensis
have
caused
significant
ecological
and
economic
damage,
as
well
mass
mortality,
cultivated
species.
Nutrients
are
one
the
primary
inducers
H.
blooms.
However,
transcriptomic
studies
remain
sparse,
its
metabolic
pathways
unknown.
This
study
analyzed
transcriptome
under
varying
nutrient
conditions
(nitrogen
at
128,
512,
880
μM;
phosphate
8,
6,
32
μM),
focusing
on
differential
gene
expression.
results
indicated
that
deviations
(higher
or
lower
N:P
ratios)
led
to
higher
number
differentially
expressed
genes
compared
control
(N:P
ratios
=
27.5),
thereby
underscoring
their
pivotal
role
growth.
Gene
Ontology
(GO)
enrichment
analyses
showed
limitation
upregulated
biosynthesis
catabolism
processes
while
downregulating
cell
cycle
division
functions.
Kyoto
Encyclopedia
Genes
Genomes
(KEGG)
analysis
revealed
that,
nitrogen
limitation,
proteasome
were
upregulated,
photosynthesis
carbon
fixation
downregulated;
phosphorus
metabolism
was
downregulated.
These
findings
suggest
adapts
stress
adjusting
processes.
Water,
Journal Year:
2024,
Volume and Issue:
16(17), P. 2525 - 2525
Published: Sept. 5, 2024
Marine
eutrophication,
primarily
driven
by
nutrient
over
input
from
agricultural
runoff,
wastewater
discharge,
and
atmospheric
deposition,
leads
to
harmful
algal
blooms
(HABs)
that
pose
a
severe
threat
marine
ecosystems.
This
review
explores
the
causes,
monitoring
methods,
control
strategies
for
eutrophication
in
environments.
Monitoring
techniques
include
remote
sensing,
automated
situ
sensors,
modeling,
forecasting,
metagenomics.
Remote
sensing
provides
large-scale
temporal
spatial
data,
while
sensors
offer
real-time,
high-resolution
monitoring.
Modeling
forecasting
use
historical
data
environmental
variables
predict
blooms,
metagenomics
insights
into
microbial
community
dynamics.
Control
treatments
encompass
physical,
chemical,
biological
treatments,
as
well
advanced
technologies
like
nanotechnology,
electrocoagulation,
ultrasonic
treatment.
Physical
such
aeration
mixing,
are
effective
but
costly
energy-intensive.
Chemical
including
phosphorus
precipitation,
quickly
reduce
levels
may
have
ecological
side
effects.
Biological
biomanipulation
bioaugmentation,
sustainable
require
careful
management
of
interactions.
Advanced
innovative
solutions
with
varying
costs
sustainability
profiles.
Comparing
these
methods
highlights
trade-offs
between
efficacy,
cost,
impact,
emphasizing
need
integrated
approaches
tailored
specific
conditions.
underscores
importance
combining
mitigate
adverse
effects
on
Hydrobiology,
Journal Year:
2024,
Volume and Issue:
3(2), P. 100 - 118
Published: May 29, 2024
This
comprehensive
review
explores
the
escalating
challenge
of
nutrient
enrichment
in
aquatic
ecosystems,
spotlighting
dire
ecological
threats
posed
by
harmful
algal
blooms
(HABs)
and
excessive
particulate
organic
matter
(POM).
Investigating
recent
advancements
water
treatment
technologies
management
strategies,
study
emphasizes
critical
need
for
a
multifaceted
approach
that
incorporates
physical,
chemical,
biological
methods
to
effectively
address
these
issues.
By
conducting
detailed
comparative
analyses
across
diverse
environments,
it
highlights
complexities
mitigating
HABs
underscores
importance
environment-specific
strategies.
The
paper
advocates
sustainable,
innovative
solutions
international
cooperation
enhance
global
quality
ecosystem
health.
It
calls
ongoing
advancement,
regular
monitoring,
research
adapt
emerging
challenges,
thus
ensuring
preservation
biodiversity
protection
communities
reliant
on
vital
resources.
necessity
integrating
technological
innovation,
understanding,
safeguard
ecosystems
future
generations
is
paramount.
Marine Pollution Bulletin,
Journal Year:
2025,
Volume and Issue:
212, P. 117512 - 117512
Published: Jan. 4, 2025
A
comprehensive
review
of
scholarly
articles
was
conducted
to
examine
the
marine
environmental
changes
in
four
representative
bays
Korea.
Cheonsu
Bay
experienced
a
reduction
water
area
half
its
original
size
due
completion
dikes
and
related
reclamation
projects.
Consequently,
flow
environment
biota
were
altered,
leading
increased
organic
pollution.
Gwangyang
saw
as
result
projects
for
industrial
complexes
container
terminals.
This
led
sedimentation,
deteriorating
environment,
declining
quality,
well
emergence
heavy
metal
The
Jinhae
improved
after
2000s;
however,
harmful
algal
blooms
hypoxic
masses
still
occurred
northern
western
waters.
Yeongil
exhibited
harbor
oscillations
similar
natural
period
Pohang
New
Harbor,
endocrine-disrupting
substances
detected
some
sediments.
Water,
Journal Year:
2025,
Volume and Issue:
17(5), P. 676 - 676
Published: Feb. 26, 2025
Harmful
algal
blooms
(HABs)
have
emerged
as
a
significant
environmental
challenge,
impacting
aquatic
ecosystems,
drinking
water
supply
systems,
and
human
health
due
to
the
combined
effects
of
activities
climate
change.
This
study
investigates
performance
deep
learning
models,
particularly
Transformer
model,
there
are
limited
studies
exploring
its
effectiveness
in
HAB
prediction.
The
chlorophyll-a
(Chl-a)
concentration,
commonly
used
indicator
phytoplankton
biomass
proxy
for
occurrences,
is
target
variable.
We
consider
multiple
influencing
parameters—including
physical,
chemical,
biological
quality
monitoring
data
from
stations
located
west
Lake
Erie—and
employ
SHapley
Additive
exPlanations
(SHAP)
values
an
explainable
artificial
intelligence
(XAI)
tool
identify
key
input
features
affecting
HABs.
Our
findings
highlight
superiority
especially
Transformer,
capturing
complex
dynamics
parameters
providing
actionable
insights
ecological
management.
SHAP
analysis
identifies
Particulate
Organic
Carbon,
Nitrogen,
total
phosphorus
critical
factors
predictions.
contributes
development
advanced
predictive
models
HABs,
aiding
early
detection
proactive
management
strategies.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(9), P. 4824 - 4824
Published: April 26, 2025
Harmful
Algal
Blooms
(HABs),
predominantly
driven
by
cyanobacteria,
pose
significant
risks
to
water
quality,
public
health,
and
aquatic
ecosystems.
Lake
Erie,
particularly
its
western
basin,
has
been
severely
impacted
HABs,
largely
due
nutrient
pollution
climatic
changes.
This
study
aims
identify
key
physical,
chemical,
biological
drivers
influencing
HABs
using
a
multivariate
regression
analysis.
Water
quality
data,
collected
from
multiple
monitoring
stations
in
Erie
2013
2020,
were
analyzed
develop
predictive
models
for
chlorophyll-a
(Chl-a)
total
suspended
solids
(TSS).
The
correlation
analysis
revealed
that
particulate
organic
nitrogen,
turbidity,
carbon
the
most
influential
variables
predicting
Chl-a
TSS
concentrations.
Two
developed,
achieving
high
accuracy
with
R2
values
of
0.973
0.958
TSS.
demonstrates
robustness
techniques
identifying
HAB
drivers,
providing
framework
applicable
other
systems.
These
findings
will
contribute
better
prediction
management
strategies,
ultimately
helping
protect
resources
health.
