Frontiers in Microbiology,
Год журнала:
2022,
Номер
13
Опубликована: Дек. 20, 2022
Denitrifying
anaerobic
methane-oxidizing
bacteria
(DAMO
bacteria)
plays
an
important
role
in
reducing
methane
emissions
from
river
ecosystems.
However,
the
assembly
process
of
their
communities
underlying
different
hydrologic
seasons
remains
unclarified.
In
this
study,
dynamics
DAMO
bacterial
networks
Taihu
Basin
were
investigated
by
amplicon
sequencing
across
wet,
normal,
and
dry
followed
multiple
statistical
analyses.
Phylogenetic
analysis
showed
that
Group
B
was
major
subgroup
significant
for
observed
(constrained
principal
coordinate
analysis,
p
=
0.001).
Furthermore,
neutral
community
model
normalized
stochasticity
ratio
applied
to
reveal
process.
Stochastic
deterministic
dominated
wet
season
normal
season,
respectively
similar
contributions
stochastic
processes
season.
Meanwhile,
abundant
(relative
abundance
>0.1%)
rare
<0.01%)
found
be
shaped
via
distinct
processes.
Deterministic
played
a
considerable
shaping
communities,
while
mainly
communities.
Results
study
revealed
provided
theoretical
basis
further
understanding
Harmful Algae,
Год журнала:
2023,
Номер
129, С. 102499 - 102499
Опубликована: Сен. 9, 2023
The
impacts
of
harmful
algal
blooms
(HABs)
on
economies,
public
health,
ecosystems,
and
aquaculture
across
the
globe
have
all
increased
in
recent
decades,
this
has
been
acutely
case
China.
Here,
we
review
history
HABs
research
China,
as
well
trends
future
prospects
HAB
science
most
updated
analyses
demonstrated
that
number
events,
species,
aerial
coverage
HABs,
Chinese
waters
during
21st
century
were
higher
than
last
two
decades
20th
century.
increase
China
significantly
correlated
with
discharge
ammonium
total
phosphorus
into
coastal
(p
<
0.01
for
both).
Notable
newly
recognized
events
included
chronic
caused
by
Prorocentrum
donghaiense
Karenia
mikimotoi,
a
paralytic
shellfish
poisoning
event
Gymnodinium
catenatum
sickened
80
people,
brown
tides
Aureococcus
anophagefferens,
green
Ulva
prolifera,
golden
Sargassum
horneri,
disruption
nuclear
power
plant
bloom
Phaeocystis
globosa.
A
series
key
discoveries
regarding
made
including
documentation
nearly
known
toxins
waters,
discovery
novel
cyst-formation
and/or
life
stages
multiple
HABs-causing
identification
chemical
physical
oceanographic
drivers
those
formed
P.
donghaiense,
K.
U.
successful
mitigation
via
use
modified
clay
approaches.
Future
highlighted
include
macroalgae
means
to
prevent,
mitigate,
control
(PCM)
process
which
multi-disciplinary
studies
involving
molecular
approaches
(omics),
remote
situ
detection,
artificial
intelligence,
mega-data
might
be
used
develop
refined
realistic
forecasting
platforms.
Collectively,
demonstrates
significant
evolution
since
while
are
complex
widespread,
on-going
make
development
detailed
understanding
effective
measures
mitigate
negative
effects
hopeful
outcome
coming
years.
Remote Sensing,
Год журнала:
2021,
Номер
13(10), С. 2003 - 2003
Опубликована: Май 20, 2021
In
this
study,
we
used
convolutional
neural
networks
(CNNs)—which
are
well-known
deep
learning
models
suitable
for
image
data
processing—to
estimate
the
temporal
and
spatial
distribution
of
chlorophyll-a
in
a
bay.
The
training
required
construction
model
acquired
from
satellite
ocean
color
hydrodynamic
model.
Chlorophyll-a,
total
suspended
sediment
(TSS),
visibility,
colored
dissolved
organic
matter
(CDOM)
were
extracted
data,
water
level,
currents,
temperature,
salinity
generated
We
developed
CNN
Model
I—which
estimates
concentration
using
48
×
27
sized
overall
image—and
II—which
uses
7
segmented
image.
Because
II
conducts
estimation
only
around
points
interest,
quantity
is
more
than
300
times
larger
that
I.
Consequently,
it
was
possible
to
extract
analyze
inherent
patterns
improving
predictive
ability
average
root
mean
square
error
(RMSE),
calculated
by
applying
II,
0.191,
when
prediction
good,
coefficient
determination
(R2)
exceeded
0.91.
Finally,
performed
sensitivity
analysis,
which
revealed
CDOM
most
influential
variable
estimating
spatiotemporal
chlorophyll-a.
Ecology and Evolution,
Год журнала:
2023,
Номер
13(5)
Опубликована: Май 1, 2023
Harmful
algal
blooms
(HABs)
have
occurred
more
frequently
in
recent
years.
In
this
study,
to
investigate
their
potential
impact
the
Beibu
Gulf,
short-read
and
long-read
metabarcoding
analyses
were
combined
for
annual
marine
phytoplankton
community
HAB
species
identification.
Short-read
showed
a
high
level
of
biodiversity
area,
with
Dinophyceae
dominating,
especially
Gymnodiniales.
Multiple
small
phytoplankton,
including
Prymnesiophyceae
Prasinophyceae,
also
identified,
which
complements
previous
lack
identifying
those
unstable
after
fixation.
Of
top
20
genera
15
HAB-forming
genera,
accounted
47.3%-71.5%
relative
abundance
phytoplankton.
Based
on
metabarcoding,
total
147
OTUs
(PID
>
97%)
belonging
identified
at
level,
118
species.
Among
them,
37
belonged
species,
98
reported
first
time
Gulf.
Contrasting
two
approaches
class
they
both
predominance
Dinophyceae,
included
abundances
Bacillariophyceae,
Prymnesiophyceae,
but
contents
classes
varied.
Notably,
results
quite
different
below
genus
level.
The
diversity
probably
due
special
life
history
multiple
nutritional
modes.
Annual
variation
revealed
study
provided
basis
evaluating
aquaculture
even
nuclear
power
plant
safety
Microbiology Spectrum,
Год журнала:
2023,
Номер
11(2)
Опубликована: Фев. 23, 2023
Mount
Xianbei
is
one
of
the
largest
shallow
seamounts
located
in
middle
South
China
Sea
(SCS),
which
might
play
a
role
shaping
biodiversity
surrounding
continental
coastal
waters,
particularly
diversity
phytoplankton
species
causing
frequent
harmful
algal
blooms
(HABs)
northern
SCS.
However,
diversity,
composition,
and
distribution
seamount
regions
remain
largely
unexplored.
In
this
study,
samples
around
outside
were
collected
during
late
summer
cruise
2021
to
test
whether
HAB
propagation.
total,
we
identified
19
across
all
using
ASV-based
DNA
metabarcoding
approach,
6
had
not
been
reported
previously
SCS,
suggesting
diverse
Specifically,
16
found
region
Xianbei,
5
them
also
indicating
close
connection
between
waters.
This
study
was
first
attempt
explore
species'
spatial
vertical
at
single-nucleotide
resolution,
provides
novel
explanation
for
occurrence
