Water,
Год журнала:
2022,
Номер
14(3), С. 391 - 391
Опубликована: Янв. 27, 2022
The
study
aimed
to
investigate
the
physico-chemical
properties
as
well
phytoplankton
and
bacterial
community
diversity
of
Bovan
Lake
reservoir
in
Serbia
gain
insight
into
seasonal
dynamic
water
quality.
All
analyses
were
performed
at
three
localities
depths
spring,
summer,
autumn,
winter
2019.
Seven
phyla
comprising
139
taxa
detected
all
(Chlorophyta
58%,
Bacillariophyta
14%,
Cyanobacteria
9%,
Chrysophyta
5%,
Dinophyta
Euglenophyta
Cryptophyta
4%).
Winter
2019
was
characterized
by
presence
36
unique
species
except
Euglenophyta.
Bacterial
showed
that
Proteobacteria,
Actinobacteria,
Bacteroidetes,
Cyanobacteria,
Verrucomicrobia
dominated
intake
locality
(0.5,
10,
20
m
below
surface).
In
general,
parameters,
phytoplankton,
composition
depended
on
season
depth
satisfactory
ecological
status
quality
localities,
meets
needs
for
intended
purposes.
Heliyon,
Год журнала:
2023,
Номер
9(8), С. e18518 - e18518
Опубликована: Июль 21, 2023
The
main
aimed
of
this
study
was
to
evaluate
the
physicochemical
parameters,
abundance
and
density
cyanobacteria,
determine
their
blooms
ecotoxicological
risk
cyanotoxins
in
fish
ponds
water.
This
conducted
out
20
farms
Rondônia
state
(Brazilian
Amazon),
samplings
were
carried
rainy
dry
seasons.
experiment
developed
a
completely
randomized
factorial
design
×
3
x
(20
farms,
replications).
Regarding
composition
qualitative
samples,
horizontal
vertical
hauls
on
water
surface,
quantitative
samples
obtained
using
plankton
net
(50
μm
mesh
opening).
Meanwhile,
with
use
multiparametric
probe,
analyzes
out.
Furthermore,
cyanobacteria
found
classified
taxonomically
its
recorded.
Finally,
blood
collected
from
60
Colossoma
macropomum.
Concerning
higher
averages
season
6.13
mg
L⁻1
dissolved
oxygen,
40.02
cm
transparency,
0.35
NO31⁻
nitrate,
0.15
NO21⁻
nitrite,
44.55
CaCO3
alkalinity
50.10
hardness,
while
pH,
phosphate
phosphorus
season.
A
total
15
families
29
species
identified
different
that
showed
highest
densities
(rainy
seasons)
Microcystaceae
(356
760
cells
mL⁻1),
Leptolyngbyaceae
(126
287
mL⁻1)
Microcoleaceae
(111
405
mL⁻1).
Microcystis
aeruginosa
697
Planktolyngbya
limnetica
(98
257
Planktothrix
sp.
239
There
significant
Pearson's
correlations
(r
>
0.85;
p
<
0.05)
between
family
abundances
cyanotoxin
volume
variables
seasonality.
recorded,
all
which
an
risk.
assessment
mutagenicity
cells,
78
abnormalities
per
slide
observed.
In
season,
expected
F1
F4
above
quantification
limit
(>QL).
Abundance
can
be
used
as
bioindicators
eutrophication
and/or
quality
ponds.
The Science of The Total Environment,
Год журнала:
2023,
Номер
902, С. 165888 - 165888
Опубликована: Авг. 5, 2023
Although
nutrient
availability
is
widely
recognized
as
the
driving
force
behind
Microcystis
blooms,
identifying
microorganisms
that
play
a
pivotal
role
in
their
formation
challenging
task.
Our
understanding
of
contribution
bacterial
communities
to
development
blooms
remains
incomplete,
despite
fact
relationship
between
and
has
been
extensively
investigated.
Most
studies
have
focused
on
interaction
for
single
year
rather
than
multiple
years.
To
determine
key
bacteria
crucial
we
collected
samples
from
three
sites
Daechung
Reservoir
(Chuso,
Hoenam,
Janggye)
over
years
(2017,
2019,
2020).
results
indicated
bloom-associated
were
more
conserved
across
stations
Bacterial
could
be
separated
into
modules
corresponding
different
phases
blooms.
Dolichospermum
Aphanizomenon
belonged
same
module,
whereas
module
was
distinct.
The
microbial
recurrent
association
network
(MRAN)
showed
amplicon
sequence
variants
(ASVs)
directly
linked
Pseudanabaena,
Microscillaceae,
Sutterellaceae,
Flavobacterium,
Candidatus
Aquiluna,
Bryobacter,
DSSD61.
These
ASVs
also
identified
indicators
bloom
stage,
indicating
they
fundamental
biological
elements
Overall,
our
study
highlights
that,
although
change
annually,
continue
share
core
may
maintenance
Integrated Environmental Assessment and Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
The
proliferation
of
cyanobacteria
has
become
a
significant
water
management
challenge
due
to
the
increasing
eutrophication
supply
reservoirs.
Cyanobacterial
blooms
thrive
on
elevated
nutrient
concentrations
and
form
extensive
green
mats,
disrupting
local
ecosystem.
Furthermore,
many
cyanobacterial
species
can
produce
toxins
that
are
lethal
vertebrates
called
cyanotoxins.
Traditional
monitoring
methods
inefficient
for
assessing
quality
in
reservoirs
as
whole,
given
sampling
is
only
carried
out
catchment
area
public
supply,
which
exposes
population
risk
contamination
multiple
uses
these
Therefore,
novel
supported
by
recent
technological
advances,
such
use
unmanned
aerial
vehicles
(UAVs),
being
tested
their
effectiveness
densities
aquatic
ecosystems.
This
study
analyzed
UAV
images
two
assess
density.
UAVs
were
equipped
with
RGB
sensors
flew
over
areas
same
day
at
locations
performed
determination
phytoplankton
density,
biovolume
chlorophyll-a.
community
was
dominated
both
High
coefficients
obtained
predictive
models
chlorophyll-a
concentration
(r2
=
0.92),
total
0.89
r2
0.97,
respectively),
biovolumes
0.96
both).
Applying
orthomosaics
generated
from
enabled
visualization
spatial
distribution
biomass
through
maps.
method
potential
application
bodies
crucial
supply.
Ecological Indicators,
Год журнала:
2022,
Номер
143, С. 109401 - 109401
Опубликована: Сен. 8, 2022
Unraveling
how
microbial
co-occurrences
respond
to
cyanobacterial
blooms
is
central
our
understanding
of
the
stability
aquatic
ecosystems.
Here,
we
examined
effects
a
Microcystis
bloom
on
inter-domain
eukaryotic
and
two
size-fractionated
bacterial
networks
in
subtropical
reservoir.
Eukaryotes,
especially
protists,
had
role
networks,
followed
by
particle-attached
(PA)
bacteria
free-living
(FL)
bacteria.
Eukaryotes
more
negative
correlations
with
PA
than
FL
The
environmental
changes
related
(i.e.,
water
temperature,
pH,
chlorophyll
a,
total
carbon,
organic
carbon
nitrite
nitrogen)
strongly
affected
eukaryotes
network
as
reflected
dynamics
community
composition
major
modules.
Importantly,
complexity
significantly
increased
post-bloom
periods,
(especially
protists)
enhanced
network.
Compared
keystone
bacteria,
hubs
mainly
determined
structure
key
functional
potentials
nitrogen
cycling,
fixation
degradation).
Thus,
some
might
be
used
indicators
function
communities
reservoir
Our
study
highlights
importance
considering
cross-kingdom
multiple
size-fractionation
evaluating
disturbances
networks.
