South of Russia ecology development,
Год журнала:
2025,
Номер
19(4), С. 110 - 130
Опубликована: Янв. 22, 2025
This
paper
examines
the
bacterial
composition
of
soils
in
Fatala
River
basin,
Republic
Guinea.This
work
is
based
on
molecular
genetic
analysis.The
research
findings
indicate
that
most
prevalent
phyla
are
Proteobacteria
,
Firmicutes
Actinobacteria
and
Acidobacteria
.
Notable
dominant
species
include
Candidatus
Koribacter
versatilis
Solibacter
usitatus
In
facies
11,
particularly
a
bauxite
mining
zone,
there
an
increase
cyanobacteria,
potentially
due
to
their
capacity
enrich
soil
fertility.
Alpha
diversity
peaks
10,
12,
17
18
bottoms
out
7.
The
decline
alpha
7
might
be
attributed
plankomycetes,
which
produce
antimicrobial
substances
outcompete
other
species.
When
examining
beta
diversity,
12
show
highest
similarity,
while
3,
5,
exhibit
significant
differences
compared
all
points
analysed.The
identification
prevailing
phylum
species,
along
with
specific
taxa
exhibiting
increases
or
decreases
biodiversity,
crucial
first
step
characterising
microbial
communities
found
natural
environments
studied.
methodology
established
can
employed
environmental
surveillance
evaluation
health
diverse
types.
Frontiers in Marine Science,
Год журнала:
2025,
Номер
12
Опубликована: Март 12, 2025
To
explore
the
effects
of
rice
floating
beds
on
fish
growth
and
intestinal
microbiota,
present
study
compared
performance
microbial
diversity,
construction,
composition
water
Gibel
carp
(
Carassius
auratus
gibelio
)
intestine
in
ponds
normal
ponds.
The
results
revealed
that
raised
exhibited
significantly
greater
body
length,
weight,
weight
gain
rates
than
those
Microbial
community
analysis
showed
enhanced
richness
diversity
group.
Furthermore,
assembly
processes
these
communities
were
predominantly
influenced
by
stochastic
mechanisms
bacterial
phyla
associated
with
nutrient
cycling,
such
as
Cyanobacteria,
Chloroflexi,
Ignavibacteria,
assembled
Overall,
highlight
potential
bed
systems
a
sustainable
aquaculture
technique,
fostering
improved
which
are
critical
for
health
cultured
fish.
PeerJ Computer Science,
Год журнала:
2023,
Номер
9, С. e1292 - e1292
Опубликована: Апрель 26, 2023
As
an
important
part
of
smart
cities,
water
environmental
protection
has
become
way
to
solve
pollution
problems.
It
is
proposed
in
this
article
develop
a
quality
remote
sensing
image
analysis
and
prediction
method
based
on
the
improved
Pix2Pix
(3D-GAN)
model
overcome
problems
associated
with
environment
cities
data
having
low
accuracy
predicting
information,
as
well
being
difficult
train.Firstly,
due
inversion
differences
weather
conditions,
images
are
not
perfect,
which
leads
creation
time
series
that
cannot
be
used
directly
modeling.
Therefore,
for
preprocessing
been
article.
The
original
was
unified
by
pixel
substitution,
repaired
spatial
weight
matrix,
supplemented
linear
interpolation.
Secondly,
order
enhance
ability
process
spatial-temporal
improve
images,
convolutional
gated
recurrent
unit
network
concatenated
U-net
generator
model.
At
same
time,
channel
attention
mechanism
introduced
into
extracting
residual
structure
downsampling
avoid
gradient
explosion
or
disappearance.
After
that,
historical
moments
superimposed
channels
labels
sent
discriminator
adversarial
training.
no
longer
translates
but
can
predict
two
dimensions
space
one
dimension
so
it
actually
3D-GAN
Third,
chlorophyll-a
concentrations
Taihu
Lake
basin
verify
at
future
moments.The
results
show
mean
value
structural
similarity,
peak
signal-to-noise
ratio,
cosine
mutual
information
between
predicted
real
higher
than
existing
methods,
indicates
effective
cities.
The Science of The Total Environment,
Год журнала:
2024,
Номер
918, С. 170634 - 170634
Опубликована: Фев. 6, 2024
Microcystins
(MCs)
are
frequently
detected
in
cyanobacterial
bloom-impacted
waterbodies
and
introduced
into
agroecosystems
via
irrigation
water.
They
widely
known
as
phytotoxic
cyanotoxins,
which
impair
the
growth
physiological
functions
of
crop
plants.
However,
their
impact
on
plant-associated
microbiota
is
scarcely
tackled
poorly
understood.
Therefore,
we
aimed
to
investigate
effect
MCs
microbiota-inhabiting
bulk
soil
(BS),
root
adhering
(RAS),
tissue
(RT)
Vicia
faba
when
exposed
100
μg
L−1
a
greenhouse
pot
experiment.
Under
MC
exposure,
structure,
co-occurrence
network,
assembly
processes
bacterial
were
modulated
with
greatest
RT-inhabiting
bacteria,
followed
by
BS
and,
lesser
extent,
RAS.
The
analyses
revealed
significant
decrease
abundances
several
Actinobacteriota-related
taxa
within
RT
microbiota,
including
most
abundant
genus
Streptomyces.
Furthermore,
significantly
increased
abundance
methylotrophic
bacteria
(Methylobacillus,
Methylotenera)
other
Proteobacteria-affiliated
genera
(e.g.,
Paucibacter),
supposed
degrade
MCs.
network
community
presence
was
less
complex
than
control
network.
In
MC-exposed
RT,
turnover
composition
more
strongly
driven
deterministic
processes,
proven
beta-nearest
taxon
index.
Whereas
MC-treated
RAS,
both
stochastic
can
influence
some
relative
dominance
processes.
Altogether,
these
results
suggest
that
may
reshape
structure
soil-plant
system
reducing
potential
phytobeneficial
traits
increasing
capacity
Asian Research Journal of Agriculture,
Год журнала:
2024,
Номер
17(2), С. 363 - 380
Опубликована: Июнь 7, 2024
Purpose:
This
paper
reviews
the
diverse
agricultural
applications
of
cyanobacteria
for
improving
soil
health,
plant
growth,
and
sustainability.
Research
Method:
The
provides
a
literature
review
summarizing
recent
research
on
cyanobacteria's
roles
in
aggregation,
biofertilization,
abiotic/biotic
stress
tolerance,
yield
improvements,
carbon
sequestration,
bioremediation.
Both
laboratory
studies
field
trials
evaluating
effects
properties
growth
are
discussed.
Findings:
Cyanobacteria
can
enhance
structure,
provide
fixed
nitrogen,
mitigate
salinity
stress,
increase
crop
yields,
sequester
carbon.
Their
adaptations,
antimicrobial
metabolites,
synergies
with
plants
microbes
underpin
many
benefits.
However,
translating
into
effective
inoculants
remains
challenging.
Limitation:
Variability
effectiveness
across
cyanobacterial
strains,
species,
environments
limits
current
understanding.
More
testing
is
needed
along
assessment
potentially
negative
impacts.
Originality/Value:
highlights
promising
areas
to
promote
sustainability
while
identifying
knowledge
gaps
genetics,
plant-microbe
interactions,
ecology
that
require
further
study.
It
emphasizes
need
locally-adapted,
integrated
solutions
leveraging
multifunctional
traits.
