Frontiers in Microbiology,
Journal Year:
2017,
Volume and Issue:
8
Published: July 20, 2017
Biofilms
are
dynamic
habitats
which
constantly
evolve
in
response
to
environmental
fluctuations
and
thereby
constitute
remarkable
survival
strategies
for
microorganisms.
The
modulation
of
biofilm
functional
properties
is
largely
governed
by
the
active
remodeling
their
three-dimensional
structure
involves
an
arsenal
microbial
self-produced
components
interconnected
mechanisms.
production
matrix
components,
spatial
reorganization
ecological
interactions,
generation
physiological
heterogeneity,
regulation
motility,
actives
enzymes
instance
some
processes
enabling
such
organization
plasticity.
In
this
contribution,
we
discussed
foundations
architectural
plasticity
as
adaptive
driver
biofilms
through
review
different
involved.
Moreover,
possibility
harness
characteristics
sculpt
attractive
approach
control
properties,
whether
beneficial
or
deleterious,
also
discussed.
Frontiers in Microbiology,
Journal Year:
2018,
Volume and Issue:
9
Published: Aug. 27, 2018
Over
the
last
60
years,
soil
microbiologists
have
accumulated
a
wealth
of
experimental
data
showing
that
usual
bulk,
macroscopic
parameters
used
to
characterize
soils
(e.g.,
granulometry,
pH,
organic
matter
and
biomass
contents)
provide
insufficient
information
describe
quantitatively
activity
microorganisms
some
its
outcomes,
like
emission
greenhouse
gases.
Clearly,
new,
more
appropriate
are
needed,
which
reflect
better
spatial
heterogeneity
at
microscale
(i.e.,
pore
scale).
For
long
time,
spectroscopic
microscopic
tools
were
lacking
quantify
processes
scale,
but
major
technological
advances
over
15
years
made
suitable
equipment
available
researchers.
In
this
context,
objective
present
article
is
review
progress
achieved
date
in
significant
research
program
has
ensued.
This
can
be
rationalized
as
sequence
steps,
namely
quantification
modeling
physical-,
(bio)chemical-,
microbiological
properties
soils,
integration
these
different
perspectives
into
unified
theory,
upscaling
and,
eventually,
development
new
approaches
measure
characteristics.
At
stage,
been
on
physical
front,
lesser
extent
(bio)chemical
one
well,
both
terms
experiments
modeling.
microbial
aspects,
whereas
lot
work
devoted
bacterial
fungal
appropriateness
model
assumptions
cannot
readily
assessed
because
relevant
extremely
scarce.
overall
move
forward,
it
will
crucial
make
sure
components
systems
does
not
keep
lagging
behind
Concerning
subsequent
steps
program,
very
little
various
disciplinary
occurred
so
far,
result,
researchers
yet
able
tackle
scaling
up
level.
Many
challenges,
them
daunting,
remain
path
ahead.
Frontiers in Microbiology,
Journal Year:
2021,
Volume and Issue:
12
Published: Oct. 11, 2021
This
paper
reviews
current
knowledge
on
sources,
spread
and
removal
mechanisms
of
antibiotic
resistance
genes
(ARGs)
in
microbial
communities
wastewaters,
treatment
plants
downstream
recipients.
Antibiotic
is
the
most
important
tool
to
cure
bacterial
infections
humans
animals.
The
over-
misuse
antibiotics
have
played
a
major
role
development,
spread,
prevalence
(AR)
microbiomes
animals,
ecosystems
worldwide.
AR
can
be
transferred
amongst
bacteria
Science,
Journal Year:
2022,
Volume and Issue:
376(6596), P. 1001 - 1005
Published: May 26, 2022
Harmful
cyanobacteria
are
a
global
environmental
problem,
yet
we
lack
actionable
understanding
of
toxigenic
versus
nontoxigenic
strain
ecology
and
toxin
production.
We
performed
large-scale
meta-analysis
including
103
papers
used
it
to
develop
mechanistic,
agent-based
model
Microcystis
growth
microcystin
Simulations
for
Lake
Erie
suggest
that
the
observed
toxigenic-to-nontoxigenic
succession
during
2014
Toledo
drinking
water
crisis
was
controlled
by
different
cellular
oxidative
stress
mitigation
strategies
(protection
degradation
enzymes)
susceptibility
those
mechanisms
nitrogen
limitation.
This
model,
as
well
simpler
empirical
one,
predicts
planned
phosphorus
load
reduction
will
lower
biomass
but
make
light
more
available,
which
increase
production,
favor
cells,
concentrations.
Cell,
Journal Year:
2024,
Volume and Issue:
187(25), P. 7045 - 7063
Published: Dec. 1, 2024
Cells
are
essential
to
understanding
health
and
disease,
yet
traditional
models
fall
short
of
modeling
simulating
their
function
behavior.
Advances
in
AI
omics
offer
groundbreaking
opportunities
create
an
virtual
cell
(AIVC),
a
multi-scale,
multi-modal
large-neural-network-based
model
that
can
represent
simulate
the
behavior
molecules,
cells,
tissues
across
diverse
states.
This
Perspective
provides
vision
on
design
how
collaborative
efforts
build
AIVCs
will
transform
biological
research
by
allowing
high-fidelity
simulations,
accelerating
discoveries,
guiding
experimental
studies,
offering
new
for
cellular
functions
fostering
interdisciplinary
collaborations
open
science.
Nature Communications,
Journal Year:
2018,
Volume and Issue:
9(1)
Published: Feb. 16, 2018
Microbial
activity
in
soil
is
spatially
heterogeneous
often
forming
spatial
hotspots
that
contribute
disproportionally
to
biogeochemical
processes.
Evidence
suggests
bacterial
organization
contributes
the
persistence
of
anoxic
even
unsaturated
soils.
Such
processes
are
difficult
observe
situ
at
microscale,
hence
mechanisms
and
time
scales
relevant
for
remain
largely
qualitative.
Here
we
develop
an
experimental
platform
based
on
glass-etched
micrometric
pore
networks
mimics
resource
gradients
postulated
aggregates
fluorescently
tagged
aerobic
facultative
anaerobic
bacteria.
Two
initially
intermixed
species,
Pseudomonas
putida
veronii,
segregate
into
preferential
regions
promoted
by
opposing
carbon
oxygen
(such
persistent
coexistence
not
possible
well-mixed
cultures).
The
study
provides
quantitative
visualization
modeling
within
aggregate-like
hotspots,
a
key
step
towards
developing
mechanistic
representation
community
pores.