Bacterial Empire,
Год журнала:
2022,
Номер
unknown, С. e473 - e473
Опубликована: Май 25, 2022
Stream
water,
a
major
water
source
in
rural
communities,
being
impacted
by
human
activities
results
to
disturbance
of
the
microbial
ecosystem
balance,
pollution
and
impacts
community
health
depending
on
such
water.
The
study
aimed
compare
metagenomic
profiling
communities
human-impacted
pristine
stream
Olugbade
village,
Oyo
State,
Nigeria.
Human-impacted
(sample
A)
B)
areas
were
sampled
following
standard
collection
method.
DNA
extraction
from
samples
was
performed
using
CTAB
method
estimated
through
Qubit
ds
high
sensitivity
kit.
Samples
sequenced
Sequel
system
PacBio
(www.pacb.com).
Raw
subreads
processed
SMRTlink
(v9.0)
Circular
Consensus
Sequences
(CCS)
algorithm
produce
highly
accurate
reads
(>QV40).
These
then
vsearch
(https://github.com/torognes/vsearch)
taxonomic
information
determined
based
Qualitative
Insights
Into
Microbial
Ecology
(QIMME2)
version
2018.6.0.
Results
showed
that
organisms
identified
100%
bacteria
where
sample
A
had
8,198
B
9,
827
reads.
distribution
revealed
23
43
phyla,
52
109
classes,
91
170
orders,
108
212
families,
211
336
genus
277
455
species
for
respectively.
there
is
statistical
difference
between
(p-value
<
0.05).
Sample
more
bacterial
than
thereby,
showing
many
naturally
occurring
are
extinct
or
displaced
due
different
anthropogenic
there.
Microorganisms,
Год журнала:
2025,
Номер
13(2), С. 319 - 319
Опубликована: Фев. 1, 2025
Microorganisms
are
instrumental
in
river
ecosystems
and
participate
biogeochemical
cycles.
It
is
thought
that
dynamic
hydrological
processes
rivers
influence
microbial
community
assembly,
but
the
seasonal
succession
assembly
of
sediments
on
Loess
Plateau
remain
unclear.
This
study
used
high-throughput
sequencing
technology
(16S
ITS)
neutral
model
to
analyze
associated
with
communities
Dali
River,
a
tributary
Yellow
River
Plateau.
The
results
showed
sediment
bacterial
fungal
diversity
indexes
non-flood
season
were
1.03–3.15
times
greater
than
those
flood
season.
There
obvious
variations
between
seasons
microorganisms.
similarities
among
all,
abundant,
rare
decreased
as
geographical
distance
increased.
Proteobacteria
(52.5–99.6%)
Ascomycota
(22.0–34.2%)
primary
phyla
communities.
Sediment
ammonia
nitrogen,
water
temperature,
organic
carbon
significantly
affected
(p
<
0.05)
structure
microorganism
ecological
networks
for
had
complex
topological
parameters.
was
driven
by
deterministic
processes,
while
dominated
stochastic
processes.
These
expanded
understanding
about
characteristics
provided
insights
into
factors
driving
networks.
Ecotoxicology and Environmental Safety,
Год журнала:
2025,
Номер
291, С. 117819 - 117819
Опубликована: Фев. 1, 2025
Aggregation
and
co-occurrence
patterns
of
microbial
communities
are
the
key
scientific
issues
in
lake
ecology.
To
explore
mechanisms
ecological
assembly
community
succession
this
unique
habitat,
16
samples
were
collected
from
eight
sites
Wuliangsuhai
Lake.
Second-generation
DNA
sequencing
was
applied
to
reveal
spatial
dynamics
bacterial
structure
distribution
across
two
environmental
media
nutrient-rich
shallow
grassland
elucidate
characteristics
network.
This
study
also
examined
effects
filtering
biological
interactions
on
formation
maintenance
composition
diversity.
The
results
highlight
habitat
heterogeneity
composition,
with
no
discernible
latitudinal
diversity
patterns.
causal
analysis
identified
electrical
conductivity,
pH,
total
nitrogen,
phosphorus
as
primary
factors
driving
changes
water
sediment
grass-type
lakes,
TN
being
driver.
CL500-3
a
pollution-tolerant
species
aquatic
environments.
g__norank_f_Verrucomicrobiaceae
exhibited
significant
distance
decay
pattern,
higher
turnover
rate
than
sediment.
Co-occurrence
network
revealed
greater
complexity
stability
communities,
three
potential
keystone
species,
water.
neutral
null
model
indicated
that
more
susceptible
dispersal
limitation,
whereas
complex
increased
role
deterministic
processes
construction.
proposed
division
plant
regions
freshwater
lakes
demonstrated
different
types,
contributing
comprehensive
understanding
shallow-water
structure.
Frontiers in Microbiology,
Год журнала:
2024,
Номер
15
Опубликована: Авг. 26, 2024
Bacteria
play
a
crucial
role
in
pollutant
degradation,
biogeochemical
cycling,
and
energy
flow
within
river
ecosystems.
However,
the
underlying
mechanisms
governing
bacterial
community
assembly
their
response
to
environmental
factors
at
seasonal
scales
subtropical
rivers
remain
poorly
understood.
In
this
study,
we
conducted
16S
rRNA
gene
amplicon
sequencing
on
water
samples
from
Liuxi
River
investigate
composition,
processes,
co-occurrence
relationships
of
communities
during
wet
season
dry
season.
The
results
demonstrated
that
differences
hydrochemistry
significantly
influenced
composition
communities.
A
more
heterogeneous
structure
increased
alpha
diversity
were
observed
Water
temperature
emerged
as
primary
driver
for
changes
Dispersal
limitation
predominantly
governed
assembly,
however,
season,
its
contribution
due
decreased
immigration
rates.
Co-occurrence
network
analysis
reveals
mutualism
played
prevailing
shaping
structure.
Compared
exhibited
higher
modularity,
competition,
keystone
species
resulting
stable
Although
displayed
distinct
variations,
Proteobacteria
Actinobacteria
consistently
abundant
maintaining
both
seasons.
Our
findings
provide
insights
into
how
respond
changes,
uncovering
rivers,
which
are
effective
management
conservation
riverine
Environmental Microbiology Reports,
Год журнала:
2024,
Номер
16(6)
Опубликована: Дек. 1, 2024
ABSTRACT
The
microbial
communities
in
aquaculture
systems
are
primarily
affected
by
changes
water
quality,
fish
metabolism,
feeding
strategies
and
disease
prevention
treatments.
Monitoring
aquatic
microbiomes
related
to
activities
is
necessary
improve
management
reduce
the
environmental
impact
of
discharge.
This
study
assessed
effects
within
two
farms
on
microbiome
composition
analysing
entering
leaving
both
systems.
Additionally,
pathogenic
bacterial
species
associated
with
common
diseases
were
identified.
abundance,
diversity
identity
microorganisms
evaluated
using
16S
rRNA
hypervariable
gene
region
amplicon
sequencing.
Proteobacteria
(38.2%)
Bacteroidetes
(31.3%)
most
abundant
phyla
all
samples.
Changes
after
passage
through
tanks
observed
several
taxa,
such
as
Nitrospirae,
Chloroflexi,
Deferribacteres
Cyanobacteria.
Flavobacterium
sp.
Pseudomonas
predominant
potential
pathogens
heterotrophic
bacteria
detected
farms.
Several
chemolithotrophic
archaea
found
natural
reservoir
used
for
activities,
while
generally
dominated
organisms.
Frontiers in Microbiology,
Год журнала:
2022,
Номер
13
Опубликована: Ноя. 17, 2022
Flow
reduction
has
greatly
affected
the
river
ecological
systems,
and
it
attracted
much
attention.
However,
less
attention
been
paid
to
response
flow
restoration,
especially
restoration
in
gradient.
regime
of
rivers
may
affect
functional
indicators
microbial
community
structure.
This
study
simulated
flow-reduced
reach
by
gradiently
controlling
water
explores
environmental
structure
flow.
The
results
showed
that
gross
primary
productivity
(GPP),
ecosystem
respiration
rate
(ER)
some
quality
indices
such
as
chemical
oxygen
demand,
total
nitrogen,
phosphorus
(TP),
exhibited
positive
responses
GPP
ER
increased
600.1%
500.2%,
respectively.
alpha
diversity
significantly
with
a
gradient
restoration.
Thereinto,
Shannon,
Simpson,
Chao1,
Ace
indices,
respectively,
16.4%,
5.6%,
8.6%,
6.2%.
Canonical
correspondence
analysis
indicated
flow,
Dissolved
TP
were
main
influencing
factors
for
changes
bacterial
Microbial
composition
present
reveals
variable
is
discharge,
provides
feasible
scheme
its
Microbiology Spectrum,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 9, 2024
ABSTRACT
Drowning
incidents
present
significant
challenges
for
forensic
investigators
in
determining
the
exact
site
of
occurrence.
Traditional
methods
often
rely
on
physical
evidence
and
circumstantial
clues,
but
emerging
field
microbiology
offers
a
promising
avenue
enhancing
precision
reliability
inference.
Our
study
investigates
application
microbiome
analysis
inferring
drowning
sites,
focusing
microbial
diversity
water
samples
lung
tissues
drowned
animals
from
different
sites
Northwest
River.
We
utilized
16S
rDNA
sequencing
to
analyze
tissues,
revealing
distinct
signatures
associated
with
sites.
findings
highlight
variations
species
richness
across
sampling
points,
indicating
influence
environmental
factors
community
structure.
Machine
learning
models
trained
data
demonstrated
high
accuracy
predicting
cross-validation
ranging
83.53%
±
3.99%
95.07%
3.17%.
Notably,
Gradient
Boosting
(GBM)
method
achieved
classification
3.17%
points
at
submersion
time
1
day.
Moreover,
our
cross-species
inference
results
revealed
that
utilizing
mice
predict
rabbits
location
W5
an
72.22%.
In
conclusion,
underscores
potential
investigations
incidents.
By
integrating
traditional
techniques,
there
is
enhance
scene
inferences,
thereby
making
substantial
contributions
case
judicial
trials.
IMPORTANCE
employing
advanced
techniques
like
profiling
machine
learning,
aims
which
crucial
both
legal
proceedings.
analyzing
animal
sheds
light
how
victim-related
variables
communities.
The
not
only
advance
understanding
also
offer
practical
implications
improving
investigative
cases
drowning.
Environmental Sciences Europe,
Год журнала:
2024,
Номер
36(1)
Опубликована: Дек. 21, 2024
Decomposition
of
submerged
plants
releases
organic
matter,
nitrogen,
and
phosphorus
into
water
bodies,
generating
an
important
impact
on
the
aquatic
ecosystem.
This
study
explored
influence
growth
substrate
with
different
compositions
decomposition
process
eelgrass
(Vallisneria
spinulosa
Yan,
V.
Yan).
The
sediment
+
iron–carbon
fillers
system
exhibited
significantly
lower
concentrations
total
nitrogen
(TN)
(TP)
in
overlying
than
other
systems,
maximum
values
5.68
7.05
mg/L,
respectively.
addition
ceramic
calcium
nitrate
promoted
formation
HCl-extracted
(HCl–P)
sediment,
while
increased
content
NaOH-extracted
(NaOH–P).
Three-dimensional
fluorescence
spectroscopy
dissolved
matter
(DOM)
showed
that
did
not
affect
released
during
Yan.
microbial
community
abundance
each
experimental
group
changed
before
after
higher
enrichment
functional
bacteria
related
to
denitrification
sulfate
reduction.
In
contrast,
a
smaller
change
abundance,
aerobic
denitrifying
bacteria.
this
paper,
it
was
found
had
good
adsorption
effect
purification
as
plants.
Bacterial Empire,
Год журнала:
2022,
Номер
unknown, С. e473 - e473
Опубликована: Май 25, 2022
Stream
water,
a
major
water
source
in
rural
communities,
being
impacted
by
human
activities
results
to
disturbance
of
the
microbial
ecosystem
balance,
pollution
and
impacts
community
health
depending
on
such
water.
The
study
aimed
compare
metagenomic
profiling
communities
human-impacted
pristine
stream
Olugbade
village,
Oyo
State,
Nigeria.
Human-impacted
(sample
A)
B)
areas
were
sampled
following
standard
collection
method.
DNA
extraction
from
samples
was
performed
using
CTAB
method
estimated
through
Qubit
ds
high
sensitivity
kit.
Samples
sequenced
Sequel
system
PacBio
(www.pacb.com).
Raw
subreads
processed
SMRTlink
(v9.0)
Circular
Consensus
Sequences
(CCS)
algorithm
produce
highly
accurate
reads
(>QV40).
These
then
vsearch
(https://github.com/torognes/vsearch)
taxonomic
information
determined
based
Qualitative
Insights
Into
Microbial
Ecology
(QIMME2)
version
2018.6.0.
Results
showed
that
organisms
identified
100%
bacteria
where
sample
A
had
8,198
B
9,
827
reads.
distribution
revealed
23
43
phyla,
52
109
classes,
91
170
orders,
108
212
families,
211
336
genus
277
455
species
for
respectively.
there
is
statistical
difference
between
(p-value
<
0.05).
Sample
more
bacterial
than
thereby,
showing
many
naturally
occurring
are
extinct
or
displaced
due
different
anthropogenic
there.