Engineering the mangrove soil microbiome for selection of polyethylene terephthalate-transforming bacterial consortia
Diego Javier Jiménez,
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Dayanne Chaparro,
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Felipe Sierra
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et al.
Trends in biotechnology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 1, 2024
Language: Английский
Towards synthetic ecology: strategies for the optimization of microbial community functions
Frontiers in Synthetic Biology,
Journal Year:
2025,
Volume and Issue:
3
Published: March 18, 2025
Microbial
communities
are
able
to
carry
out
myriad
functions
of
biotechnological
interest,
ranging
from
the
degradation
industrial
waste
synthesis
valuable
chemical
products.
Over
past
years,
several
strategies
have
emerged
for
design
microbial
and
optimization
their
functions.
Here
we
provide
an
accessible
overview
these
strategies.
We
highlight
how
principles
synthetic
biology,
originally
devised
engineering
individual
organisms
sub-organismal
units
(e.g.,
enzymes),
influenced
development
field
ecology.
With
this,
aim
encourage
readers
critically
evaluate
insights
biology
should
guide
our
approach
community-level
engineering.
Language: Английский
Multi-omics framework to reveal the molecular determinants of fermentation performance in wine yeast populations
Microbiome,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: Oct. 15, 2024
Connecting
the
composition
and
function
of
industrial
microbiomes
is
a
major
aspiration
in
microbial
biotechnology.
Here,
we
address
this
question
wine
fermentation,
model
system
where
diversity
functioning
fermenting
yeast
species
are
determinant
flavor
quality
resulting
wines.
Language: Английский
Environment‐Organism Feedbacks Drive Changes in Ecological Interactions
Ecology Letters,
Journal Year:
2024,
Volume and Issue:
28(1)
Published: Dec. 31, 2024
Ecological
interactions
are
foundational
to
our
understanding
of
community
composition
and
function.
While
known
change
depending
on
the
environmental
context,
it
has
generally
been
assumed
that
external
factors
responsible
for
driving
these
dependencies.
Here,
we
derive
a
theoretical
framework
which
instead
focuses
how
intrinsic
changes
caused
by
organisms
themselves
alter
interaction
values.
Our
central
concept
is
'instantaneous
interaction',
captures
feedback
between
current
state
organismal
growth,
generating
spatiotemporal
context-dependencies
as
modify
their
environment
over
time
and/or
space.
We
use
small
microbial
communities
illustrate
this
can
predict
time-dependencies
in
toxin
degradation
system,
relate
time-
spatial-dependencies
crossfeeding
communities.
By
re-centring
relationship
environment,
predicts
variations
wherever
intrinsic,
organism-driven
dominates
drivers.
Language: Английский
Molecular Microbiology of Microbiomes
Molecular Microbiology,
Journal Year:
2024,
Volume and Issue:
122(3), P. 271 - 272
Published: Sept. 1, 2024
Language: Английский
Variability of functional and biodiversity responses to perturbations is predictable and informative
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Nov. 28, 2024
Abstract
Perturbations
such
as
climate
change,
invasive
species
and
pollution,
impact
the
functioning
diversity
of
ecosystems.
However
has
many
meanings,
ecosystems
provide
a
plethora
functions.
Thus,
on
top
various
perturbations
that
global
change
represents,
there
are
also
ways
to
measure
perturbation’s
ecological
impact.
This
leads
an
overwhelming
response
variability,
which
undermines
hopes
prediction.
Here,
we
show
this
variability
can
instead
insights
into
hidden
features
functions
responses
perturbations.
By
analysing
dataset
experiments
in
microbial
soil
systems
first
functional
is
not
random;
mechanistically
similar
tend
respond
coherently.
Furthermore,
metrics
broad
(e.g.
total
biomass)
systematically
opposite
ways.
We
then
formalise
these
observations
demonstrate,
using
geometrical
arguments,
simulations,
theory-driven
analysis
empirical
data,
only
predictable,
but
be
used
access
useful
information
about
contributions
population-level
Our
research
offers
powerful
framework
for
understanding
complexity
change.
Language: Английский