bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 2, 2023
Abstract
Background
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
determinant
flavor
quality
resulting
wines.
Results
First,
surveyed
communities
associated
with
grape
musts
collected
across
appellations,
revealing
importance
environmental
(i.e.,
biogeography)
anthropic
factors
farming
system)
shaping
community
structure.
Then,
assayed
synthetic
must
under
common
winemaking
conditions.
The
dominating
defines
fermentation
performance
metabolite
profile
wines,
it
determined
by
initial
fungal
rather
than
imposed
Yeast
dominance
also
had
more
pronounced
impact
on
meta-transcriptome
We
unveiled
yeast-specific
transcriptomic
profiles,
leveraging
different
molecular
strategies
environments.
further
studied
orthologs
responsible
for
production,
modules
specific
species.
This
emphasizes
unique
contributions
to
flavor,
here
summarized
an
array
that
individual
contribution
ecosystem
functioning.
Conclusions
Our
study
bridges
gap
between
providing
insights
harness
diverse
functionalities
final
aim
producing
tailored
high-quality
Cell,
Journal Year:
2024,
Volume and Issue:
187(12), P. 3108 - 3119.e30
Published: May 21, 2024
The
many
functions
of
microbial
communities
emerge
from
a
complex
web
interactions
between
organisms
and
their
environment.
This
poses
significant
obstacle
to
engineering
consortia,
hindering
our
ability
harness
the
potential
microorganisms
for
biotechnological
applications.
In
this
study,
we
demonstrate
that
collective
effect
ecological
microbes
in
community
can
be
captured
by
simple
statistical
models
predict
how
adding
new
species
will
affect
its
function.
These
predictive
mirror
patterns
global
epistasis
reported
genetics,
they
quantitatively
interpreted
terms
pairwise
members.
Our
results
illuminate
an
unexplored
path
predicting
function
consortia
composition,
paving
way
optimizing
desirable
properties
bringing
tasks
biological
at
genetic,
organismal,
scales
under
same
quantitative
formalism.
Peer Community Journal,
Journal Year:
2025,
Volume and Issue:
5
Published: Jan. 7, 2025
Wine
fermentation
involves
complex
microbial
communities
of
non-Saccharomyces
yeast
species
besides
the
well-known
Saccharomyces
cerevisiae.
While
extensive
research
has
enhanced
our
understanding
S.
cerevisiae,
development
multi-species
starters
led
to
increased
interest
in
interactions
and
role
diversity
winemaking.
Consequently,
molecular
methods
have
emerged
identify
different
at
stages
winemaking
process.
Model
or
consortia,
which
provide
simplified
systems
resembling
natural
diversity,
offer
opportunities
investigate
population
dynamics
understand
community
ecosystem
performance.
Here,
this
work
aims
design
a
consortium
reflecting
wine
yeasts
develop
method
for
accurately
tracking
their
during
fermentation.
We
developed
characterized
six-species
consortium,
with
Hanseniaspora
uvarum,
Starmerella
bacillaris,
Metschnikowia
pulcherrima,
Lachancea
thermotolerans
Torulaspora
delbrueckii.
By
tagging
each
distinct
fluorescent
markers,
study
enables
real-time
monitoring
individual
within
using
flow
cytometry.
carried
out
complete
analysis
studying
evolution
populations
over
time
examining
factors
such
as
metabolite
production
kinetics.
In
addition,
was
used
test
diversity-function
relationship
proof
concept.
sought
determine
impact
initial
evenness
on
communities'
performances
subjected
osmotic
stress.
To
end,
ten
randomly
designed
consortia
varying
proportions
were
followed
enological
200
280
g/L
sugars.
The
proportion
certain
affected
however
no
demonstrable
effect
response
stress
shown.
These
results
demonstrated
usefulness
presented
is
now
available
scientific
can
contribute
future
trying
decipher
multispecies
Microbial Biotechnology,
Journal Year:
2025,
Volume and Issue:
18(3)
Published: March 1, 2025
Winemaking
has
leveraged
microbiology
to
enhance
wine
quality,
typically
by
engineering
and
inoculating
individual
yeast
strains
with
desirable
traits.
However,
do
not
grow
alone
during
fermentation,
rather
they
are
embedded
in
diverse
evolving
microbial
communities
exhibiting
complex
ecological
dynamics.
Understanding
predicting
the
interplay
between
community
over
course
of
species
succession
chemical
matrix
can
benefit
from
recognising
that
wine,
like
all
ecosystems,
is
subject
general
evolutionary
rules.
In
this
piece,
we
outline
how
conceptual
methodological
frameworks
ecology
biology
assist
researchers
improving
fermentation
processes
understanding
mechanisms
governing
population
dynamics,
these
important
microcosms,
unlocking
genetic
potential
for
strain
development.
Molecular Microbiology,
Journal Year:
2024,
Volume and Issue:
122(3), P. 294 - 303
Published: Feb. 19, 2024
Abstract
Microorganisms
play
a
central
role
in
biotechnology
and
it
is
key
that
we
develop
strategies
to
engineer
optimize
their
functionality.
To
this
end,
most
efforts
have
focused
on
introducing
genetic
manipulations
microorganisms
which
are
then
grown
either
monoculture
or
mixed‐species
consortia.
An
alternative
strategy
microbial
processes
rationally
the
environment
microbes
grow.
The
multidimensional,
including
factors
such
as
temperature,
pH,
salinity,
nutrient
composition,
etc.
These
environmental
all
influence
growth
phenotypes
of
they
generally
“interact”
with
one
another,
combining
effects
complex,
non‐additive
ways.
In
piece,
overview
origins
consequences
these
“interactions”
between
discuss
how
been
built
into
statistical,
bottom‐up
predictive
models
function
identify
optimal
conditions
for
monocultures
We
also
“top‐down”
approaches,
algorithms,
finding
combinations
factors.
By
providing
brief
summary
state
field,
hope
stimulate
further
work
rational
manipulation
optimization
environment.
Molecular Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
ABSTRACT
Adaptation
to
the
environment
plays
an
essential
role
in
yeast
evolution
as
a
consequence
of
selective
pressures.
Lachancea
thermotolerans
,
related
fermentation
and
one
current
trends
wine
technology
research,
has
undergone
anthropisation
process,
leading
notable
genomic
phenomic
differentiation.
Using
whole‐genome
sequencing,
145
L.
strains,
we
identified
six
well‐defined
groups
primarily
delineated
by
their
ecological
origin
exhibiting
high
levels
genetic
diversity.
Anthropised
strains
showed
lower
diversity
due
pressure
imposed
winemaking
environment.
Strong
evidence
adaptation
through
modification
gene
content
was
also
found.
Differences
genes
involved
assimilation
alternative
carbon
nitrogen
sources,
such
MAL31
DAL5
genes,
which
confer
greater
fitness
environment,
were
observed.
Additionally,
found
that
phenotypic
traits
considered
domestication
hallmarks
are
present
anthropised
strains.
Among
these,
increased
presence
ethanol
sulphites,
non‐fermentable
residual
fructose
under
fermentative
conditions
highlight.
We
hypothesise
lactic
acid
production
Saccharomyces‐Lachancea
lineage
is
signature
linked
winemaking,
resulting
from
loss
respiratory
chain
complex
I
evolutionary
preference
for
over
respiration,
even
oxygen.
Overall,
results
this
work
provide
valuable
insight
into
process
demonstrate
how
environments
give
rise
similar
adaptations
different
species.
Yeast,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
Hanseniaspora
uvarum
is
consistently
observed
as
the
dominant
non-Saccharomyces
species
in
spontaneous
grape
juice
fermentations.
However,
physiological
mechanisms
and
physicochemical
variables
influencing
prevalence
of
H.
over
other
remain
unclear.
We
tested
factors
contributing
to
dominance
by
inoculating
a
chemically
diverse
set
juices
with
mock
community
whose
composition
was
based
on
previously
published
comprehensive
microbial
survey
commercial
The
these
appeared
have
minimal
impact
overall
dynamics
fermentation,
emerging
nearly
all
conditions
tested.
Flow
cytometry
analysis
confirmed
that
has
faster
growth
rate
than
Saccharomyces
cerevisiae
several
species.
Moreover,
its
not
affected
presence
S.
cerevisiae.
negatively
cerevisiae,
significant
implications
for
fermentation
performance
sugar
consumption.
Our
study
suggests
fast
enables
it
dominate
environment
quickly
during
early
stages.
This
advantage
may
be
critical
outcome
fermentations,
evidenced
direct
performance.
Environmental Microbiology,
Journal Year:
2025,
Volume and Issue:
27(4)
Published: April 1, 2025
In
vitro
microbial
communities
have
proven
to
be
invaluable
model
systems
for
studying
ecological
and
evolutionary
processes
experimentally.
However,
it
remains
unclear
whether
quantitative
insights
obtained
from
these
laboratory
can
applied
complex
assembling
evolving
in
their
natural
context.
To
bridge
the
gap
between
lab
'real-world',
there
is
a
need
that
better
approximate
semi-natural
ecosystems.
Wine
fermentation
presents
an
ideal
system
this
purpose,
balancing
experimental
tractability
with
rich
dynamics.
perspective
piece
we
outline
key
features
make
wine
fruitful
ecologists
biologists.
We
highlight
diversity
of
environmentally
mediated
interactions
shape
community
dynamics
during
fermentation,
history
populations,
opportunity
study
impact
ecologies
on
By
integrating
knowledge
both
research
ecology
evolution
aim
enhance
understanding
foster
collaboration
fields.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 6, 2024
Abstract
Wine
fermentation
involves
complex
microbial
communities
of
non-
Saccharomyces
yeast
species
besides
the
well-known
cerevisiae
.
While
extensive
research
has
enhanced
our
understanding
S.
,
development
multi-species
starters
led
to
increased
interest
in
interactions
and
role
diversity
winemaking.
Consequently,
molecular
methods
have
emerged
identify
different
at
stages
winemaking
process.
Model
or
consortia,
which
provide
simplified
systems
resembling
natural
diversity,
offer
opportunities
investigate
population
dynamics
understand
community
ecosystem
performance.
Here,
this
work
aims
design
a
consortium
reflecting
wine
yeasts
develop
method
for
accurately
tracking
their
during
fermentation.
We
developed
characterized
six-species
consortium,
with
Hanseniaspora
uvarum
Starmerella
bacillaris
Metschnikowia
pulcherrima
Lachancea
thermotolerans
Torulaspora
delbrueckii
By
tagging
each
distinct
fluorescent
markers,
study
enables
real-time
monitoring
individual
within
using
flow
cytometry.
carried
out
complete
analysis
studying
evolution
populations
over
time
examining
factors
such
as
metabolite
production
kinetics.
In
addition,
was
used
test
diversity-function
relationship
proof
concept.
sought
determine
impact
initial
evenness
on
communities’
performances
subjected
osmotic
stress.
To
end,
ten
randomly
designed
consortia
varying
proportions
were
followed
enological
200
280
g/L
sugars.
The
proportion
certain
affected
however
no
demonstrable
effect
response
stress
shown.
These
results
demonstrated
usefulness
presented
is
now
available
scientific
can
contribute
future
trying
decipher
multispecies
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.
FEMS Microbiology Ecology,
Journal Year:
2024,
Volume and Issue:
100(7)
Published: May 22, 2024
Microbial
communities
are
vital
to
our
lives,
yet
their
ecological
functioning
and
dynamics
remain
poorly
understood.
This
understanding
is
crucial
for
assessing
threats
these
systems
leveraging
biotechnological
applications.
Given
that
temporal
linked
community
functioning,
this
study
investigated
the
drivers
of
succession
in
wine
yeast
community.
We
experimentally
generated
population
data
used
it
create
an
interpretable
model
with
a
gradient
boosted
regression
tree
approach.
The
was
trained
on
viable
species
populations
various
combinations,
including
pairs,
triplets,
quadruplets,
evaluated
predictive
accuracy
input
feature
importance.
Key
findings
revealed
inoculation
dosage
non-Saccharomyces
significantly
influences
performance
mixed
cultures,
while
Saccharomyces
cerevisiae
consistently
dominates
regardless
initial
abundance.
Additionally,
we
observed
multispecies
interactions
where
Wickerhamomyces
anomalus
were
influenced
by
Torulaspora
delbrueckii
pairwise
but
interaction
altered
inclusion
S.
cerevisiae.
provides
insights
into
offers
valuable
machine
learning-based
analysis
techniques
applicable
other
microbial
communities,
opening
new
avenues
harnessing
communities.