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:
2020,
Volume and Issue:
11
Published: May 19, 2020
Continuous
contamination
of
the
environment
with
xenobiotics
and
related
recalcitrant
compounds
has
emerged
a
serious
threat
pollution.
Bioremediation
is
key
to
eliminate
persistent
contaminants
from
environment.
The
traditional
bioremediation
processes
showed
limitations,
therefore,
it
necessary
discover
new
technologies
for
best
results.
Here,
in
this
review,
we
have
provided
an
outlook
on
alternative
strategies
via
synthetic
biology,
including
exploring
prerequisites
analysis
research
data
developing
biological
models
microbial
bioremediation.
Moreover,
cell
coordination
community,
signaling,
quorum
sensing
are
engineered
enhanced
also
described
along
promising
gene
editing
tools
obtaining
host
target
sequences
responsible
degradation
compounds.
genetic
circuit
two-component
regulatory
system
(TCRS)
based
biosensors
detection
briefly
explained.
These
developments
expected
increase
efficiency
The ISME Journal,
Journal Year:
2017,
Volume and Issue:
12(2), P. 532 - 543
Published: Nov. 10, 2017
Many
bacteria
are
adapted
for
attaching
to
surfaces
and
building
complex
communities,
termed
biofilms.
The
biofilm
mode
of
life
is
predominant
in
bacterial
ecology.
So
too
the
exposure
ubiquitous
viral
pathogens,
bacteriophages.
Although
biofilm-phage
encounters
likely
be
common
nature,
little
known
about
how
phages
might
interact
with
biofilm-dwelling
bacteria.
It
also
unclear
ecological
dynamics
their
hosts
depend
on
biological
physical
properties
environment.
To
make
headway
this
area,
we
develop
a
simulation
framework
that
captures
key
mechanistic
features
growth
phage
infection.
Using
these
simulations,
find
equilibrium
state
interaction
between
biofilms
governed
largely
by
nutrient
availability
biofilms,
infection
likelihood
per
host
encounter
ability
diffuse
through
populations.
Interactions
matrix
particles
thus
fundamental
importance,
controlling
extent
which
can
coexist
natural
contexts.
Our
results
open
avenues
new
questions
host-parasite
coevolution
horizontal
gene
transfer
spatially
structured
Limnology and Oceanography,
Journal Year:
2019,
Volume and Issue:
65(S1)
Published: Nov. 20, 2019
Abstract
Microbial
communities
are
essential
components
of
aquatic
ecosystems
through
their
contribution
to
food
web
dynamics
and
biogeochemical
processes.
Aquatic
microbial
diversity
is
immense
a
general
challenge
understand
how
metabolism
interactions
single
organisms
shape
community
ecosystem‐scale
transformations.
Metagenomic
approaches
have
developed
rapidly,
proven
be
powerful
in
linking
In
this
review,
we
provide
an
overview
metagenomic
approaches,
followed
by
discussion
on
some
recent
insights
they
provided,
including
those
special
issue.
These
include
the
discovery
new
taxa
metabolisms
microbiomes,
into
assembly
functional
ecology
as
well
evolutionary
processes
shaping
genomes
influence
human
activities
microbiomes.
Given
that
metagenomics
can
now
considered
mature
technology
where
data
generation
descriptive
analyses
relatively
routine
informative,
then
discuss
metagenomic‐enabled
research
avenues
further
link
integration
well‐designed
ecological
experiments,
use
inform
validate
metabolic
models,
pressing
need
for
ecologically
relevant
model
simple
systems
better
interpret
taxonomic
information
integrated
metagenomes.
will
contribute
more
mechanistic
predictive
understanding
links
between
cycles.
Owing
rapid
climate
change
impacts
ecosystems,
urgency
such
has
never
been
greater.
Philosophical Transactions of the Royal Society B Biological Sciences,
Journal Year:
2020,
Volume and Issue:
375(1798), P. 20190256 - 20190256
Published: March 23, 2020
Microbial
communities
are
complex
multi-species
assemblages
that
characterized
by
a
multitude
of
interspecies
interactions,
which
can
range
from
mutualism
to
competition.
The
overall
sign
and
strength
interactions
have
important
consequences
for
emergent
community-level
properties
such
as
productivity
stability.
It
is
not
well
understood
how
change
over
evolutionary
timescales.
Here,
we
review
the
empirical
evidence
evolution
an
driver
microbial
community
dynamics
on
timescales
traditionally
been
regarded
purely
ecological.
Next,
briefly
discuss
different
modelling
approaches
study
communities,
emphasizing
similarities
differences
between
ecological
perspectives.
We
then
propose
simple
conceptual
model
in
communities.
Specifically,
understand
it
distinguish
direct
indirect
fitness
effects
mutation.
predict
well-mixed
environments,
traits
will
be
selected
exclusively
their
effects,
while
spatially
structured
may
also
effects.
Selection
indirectly
beneficial
should
result
increase
interaction
time,
selection
directly
systematic
effect.
tested
our
intuitions
using
quantitative
found
support
hypotheses.
next
step
test
these
hypotheses
experimentally
provide
input
more
refined
version
turn,
thus
closing
scientific
cycle
models
experiments.
This
article
part
theme
issue
'Conceptual
challenges
ecology'.
PLoS Pathogens,
Journal Year:
2019,
Volume and Issue:
15(7), P. e1007888 - e1007888
Published: July 5, 2019
Temperate
phages
are
bacterial
viruses
that
as
part
of
their
life
cycle
reside
in
the
genome
prophages.
They
found
many
species
including
most
clinical
strains
human
pathogens,
Staphylococcus
aureus
and
Salmonella
enterica
serovar
Typhimurium.
Previously,
temperate
were
considered
only
predators,
but
mounting
evidence
point
to
both
antagonistic
mutualistic
interactions
with
for
example
some
contributing
virulence
by
encoding
factors.
Here
we
show
generalized
transduction,
one
type
DNA
transfer
phages,
can
create
conditions
where
not
recipient
host
also
transducing
phage
benefit.
With
antibiotic
resistance
a
model
trait
used
individual-based
models
experimental
approaches
susceptible
cells
become
resistant
antibiotics
i)
integrating
ii)
acquiring
particles
carrying
genes
obtained
from
environment.
This
is
observed
non-generalized
which
unable
package
DNA,
nor
virulent
do
form
lysogens.
Once
established,
lysogenic
prophage
benefit
existence
shuffle
between
lysogens
disseminate
antibiotics,
encoded
phage.
facilitates
survival
leads
population
growth.
We
propose
transduction
function
cooperate
hosts
survive
rapidly-changing
environments.
implies
just
an
error
packaging
selected
ensure
survival.
Computational and Structural Biotechnology Journal,
Journal Year:
2020,
Volume and Issue:
19, P. 226 - 246
Published: Dec. 16, 2020
Microbes
do
not
live
in
isolation
but
microbial
communities.
The
relevance
of
communities
is
increasing
due
to
growing
awareness
their
influence
on
a
huge
number
environmental,
health
and
industrial
processes.
Hence,
being
able
control
engineer
the
output
both
natural
synthetic
would
be
great
interest.
However,
most
available
methods
biotechnological
applications
involving
microorganisms,
vivo
silico,
have
been
developed
context
isolated
microbes.
In
consortia
development
extremely
difficult
costly
because
it
implies
replicating
suitable
environments
wet-lab.
Computational
approaches
are
thus
good,
cost-effective
alternative
study
communities,
mainly
via
descriptive
modelling,
also
engineering
modelling.
this
review
we
provide
detailed
compilation
examples
engineered
comprehensive,
historical
revision
computational
metabolic
modelling
better
understand,
rationally
wild
Frontiers in Agronomy,
Journal Year:
2020,
Volume and Issue:
2
Published: July 28, 2020
Resilience
of
soils,
i.e.
their
ability
to
maintain
functions
or
recover
after
disturbance,
is
closely
linked
the
root-soil
interface,
soil's
power
house.
However,
limited
observability
key
processes
at
interface
has
so
far
our
understanding
how
such
resilience
emerges.
Here,
we
hypothesise
that
emerges
from
self-organised
spatiotemporal
patterns
which
are
result
complex
and
dynamic
feedbacks
between
physical,
chemical
biological
occurring
in
rhizosphere.
We
propose
combination
modern
experimental
modelling
techniques,
with
a
focus
on
imaging
approaches,
allows
for
plant
resource
acquisition,
microbiome-related
health,
soil
carbon
sequestration
structure
development.
A
prerequisite
identification
patterns,
underlying
feedback
loops
joint
platforms
defined
investigated
true
2D
3D
geometry
along
time.
This
applies
across
different
scientific
disciplines
physics/chemistry/microbiology
genomics/physiology
scales
nano/microscopic
scale
root
over
radial
profiles
around
single
roots,
up
architecture
scale.
Thus,
can
move
beyond
isolated
reductionist
approaches
have
dominated
rhizosphere
research
far.
Bacteria
often
live
in
biofilms,
which
are
microbial
communities
surrounded
by
a
secreted
extracellular
matrix.
Here,
we
demonstrate
that
hydrodynamic
flow
and
matrix
organization
interact
to
shape
competitive
dynamics
Pseudomonas
aeruginosa
biofilms.
Irrespective
of
initial
frequency,
competition
with
mutants,
wild-type
cells
always
increase
relative
abundance
planar
microfluidic
devices
under
simple
regimes.
By
contrast,
microenvironments
complex,
irregular
profiles
-
common
natural
environments
matrix-producing
isogenic
non-producing
strains
can
coexist.
This
result
stems
from
local
obstruction
producers,
generates
regions
near-zero
shear
allow
mutants
locally
accumulate.
Our
findings
connect
the
evolutionary
stability
production
hydrodynamics
spatial
structure
surrounding
environment,
providing
potential
explanation
for
variation
biofilm
secretion
observed
among
bacteria
environments.