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.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 26, 2025
Bacteria
and
micro-eukaryotes
play
important
roles
in
river
ecological
systems.
The
processes
that
govern
bacterial
micro-eukaryotic
communities
urban
rivers
are
still
uncertain.
spatiotemporal
characteristics
assembly
of
the
Xiangjianghe
River
were
explored
using
16
S
18
rRNA
gene
amplicon
sequencing
present
study.
results
indicate
community
composition
exhibited
distinct
temporal
spatial
variation.
topological
co-occurrence
networks
demonstrate
coexistence
patterns
vary
significantly
between
four
seasons.
Water
temperature
(WT)
oxidation-reduction
potential
(ORP)
detected
as
most
critical
factors
affecting
structure.
stochastic
process
(dispersal
limitation)
was
dominant
for
bacteria
all
Deterministic
influenced
differently.
Compared
to
bacteria,
values
niche
breadth
relatively
lower,
proportion
deterministic
higher
micro-eukaryotes.
These
expand
our
understanding
patterns,
mechanisms,
influencing
rivers.
Abstract
This
review
meticulously
examines
the
dynamics
of
river
microbiomes,
with
an
emphasis
on
Ganges
and
Yamuna
rivers
South
Asia.
These
are
vital
for
both
ecological
cultural
landscapes
offer
to
understand
interaction
between
anthropogenic
factors
their
impact
microbial
communities
activities.
Ecological
hydrological
such
as
seasonal
changes,
water
flow
physico‐chemical
properties
influence
diversity
abundance.
The
effect
heavy
metals
from
industrial
agricultural
sources
microbiome
how
these
pollutants
modify
community
structures
ecosystem
health
not
understood
well
yet.
underscores
need
sustainable
treatment
remediations
practical
engineering
solutions.
study
reveals
interactions,
whether
symbiotic
or
competitive,
affect
composition
functionality
riverine
communities.
An
innovative
aspect
our
research
is
potential
microbiomes
indicators
urban
sewage
contamination.
We
demonstrate
patterns
can
signal
pollution
levels,
proving
valuable
environmental
monitoring,
management
mitigation.
A
special
attention
role
microbes
in
ecosystems'
biogeochemical
cycles
has
been
paid
contribute
nutrient
recycling,
organic
matter
decomposition
overall
productivity,
underlining
crucial
maintaining
aesthetic
value
river.
Additionally,
evaluates
latest
methodologies
analysing
metagenomic
data,
including
functional
annotation
analysis
techniques.
Findings
highlight
key
importance
understanding
hydrology,
ecology
microbiology
researchers.
Environmental Science & Technology,
Год журнала:
2024,
Номер
58(16), С. 7144 - 7153
Опубликована: Март 25, 2024
Biodegradation
plays
a
key
role
in
the
fate
of
chemicals
environment.
The
variability
biodegradation
time
can
cause
uncertainty
evaluating
environmental
persistence
and
risk
chemicals.
However,
seasonality
rivers
has
not
yet
been
subject
environmentally
relevant
testing
systematic
investigation
for
large
numbers
In
this
work,
we
studied
96
compounds
during
four
seasons
at
locations
(up-
downstream
WWTPs
located
on
two
Swedish
rivers).
Significant
(ANOVA,
Ecological Processes,
Год журнала:
2024,
Номер
13(1)
Опубликована: Янв. 22, 2024
Abstract
Background
Understanding
community
assembly
mechanisms
across
taxa
and
space
is
fundamental
for
microbial
ecology.
However,
the
variability
determinants
of
processes
over
remain
unclear.
Here,
we
investigated
taxonomic
dependency
spatial
heterogeneity
in
bacterial
coastal
waters
East
China
Sea
using
neutral
null
models
with
customized
visualization
strategies.
Results
Overall,
varied
broad
groups
(phyla
proteobacterial
classes)
at
regional
scale.
A
determinism–stochasticity
balanced
mechanism
governed
total
assembly,
while
existed
ecological
processes.
Among
features,
niche
breadth
negative-to-positive
cohesion
ratio
were
strongly
associated
determinism-to-stochasticity
groups.
Bacterial
commonly
exhibited
heterogeneity,
extent
which
Spatial
bacteria
was
directly
driven
by
many
environmental
factors
potential
interactions
between
taxa,
but
not
geographic
factors.
higher
more
related
to
and/or
(except
Bacteroidetes),
those
lower
features.
Conclusions
Our
results
confirm
pervasiveness
providing
a
finer
understanding
about
regulation
complex
waters.
Environmental Microbiology,
Год журнала:
2025,
Номер
27(1)
Опубликована: Янв. 1, 2025
Human
activities
such
as
agriculture
and
urban
development
are
linked
to
water
quality
degradation.
Canada
represents
a
large
heterogeneous
landscape
of
freshwater
lakes,
where
variations
in
climate,
geography
geology
interact
with
land
cover
alteration
influence
differently
across
regions.
In
this
study,
we
investigated
the
use
on
bacterial
communities
12
ecozones.
At
pan-Canadian
scale,
total
phosphorus
(TP)
was
most
significant
variable
influencing
community
structure,
pronounced
shift
observed
at
110
μg/L
TP,
corresponding
transition
from
eutrophic
hypereutrophic
conditions.
regional
significantly
explained
structure
all
terms
effect,
and,
lesser
extent,
urbanisation
were
variables
structure.
Regionally,
ecozones
characterised
by
extensive
agriculture,
consistently
explaining
Likewise,
extensively
urbanised
ecozones,
Overall,
these
results
demonstrate
that
richness
influenced
shaped
different
ways.
