The
microbiome
of
flowers
(anthosphere)
is
an
understudied
compartment
the
plant
microbiome.
Within
flower,
petals
represent
a
heterogeneous
environment
for
microbes
in
terms
resources
and
environmental
stress.
Yet,
little
known
drivers
structure
function
epiphytic
microbial
community
at
within-petal
scale.
We
characterized
petal
two
co-flowering
plants
that
differ
pattern
ultraviolet
(UV)
absorption
along
their
petals.
Bacterial
communities
were
similar
between
hosts,
with
only
rare
phylogenetically
distant
species
contributing
to
differences.
epiphyte
was
highly
culturable
(75%
families)
lending
confidence
spatially
explicit
isolation
characterization
bacteria.
In
one
host,
UV
length,
these,
there
negative
relationship
growth
rate
position
on
petal,
as
well
lower
tolerance
strains
isolated
from
UV-absorbing
base
than
reflecting
tip.
A
not
seen
second
host
whose
had
uniform
patterning
length.
Across
strains,
variation
carbon
usage
chemical
followed
common
phylogenetic
patterns.
This
work
highlights
value
explorations
bacteria
anthosphere.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 14, 2023
Diet
can
impact
host
health
through
changes
to
the
gut
microbiota,
yet
we
lack
mechanistic
understanding
linking
nutrient
availability
and
microbiota
composition.
Here,
use
thousands
of
microbial
communities
cultured
in
vitro
from
human
feces
uncover
simple
assembly
rules
develop
a
predictive
model
community
composition
upon
addition
single
nutrients
central
carbon
metabolism
complex
medium.
Community
membership
was
largely
determined
by
donor
feces,
whereas
relative
abundances
were
supplemental
source.
The
absolute
abundance
most
taxa
independent
supplementing
nutrient,
due
ability
fast-growing
organisms
quickly
exhaust
their
niche
medium
then
exploit
monopolize
Relative
dominant
could
be
predicted
nutritional
preferences
growth
dynamics
species
isolation,
exceptions
consistent
with
strain-level
variation
capabilities.
Our
study
reveals
that
follows
utilization
provides
framework
for
manipulating
commensal
perturbations.
The
structure
and
diversity
of
microbial
communities
are
intrinsically
hierarchical
due
to
the
shared
evolutionary
history
their
constituents.
This
is
typically
captured
through
taxonomic
assignment
phylogenetic
reconstruction,
sources
information
that
frequently
used
group
microbes
into
higher
levels
organization
in
experimental
natural
communities.
Connecting
community
joint
ecological
dynamics
abundances
these
groups
a
central
problem
ecology.
However,
how
depends
on
scale
observation
at
which
defined
has
never
been
systematically
examined.
Here,
we
macroecological
approach
quantitatively
characterize
among
disparate
environments
across
scales.
We
found
measures
biodiversity
given
can
be
consistently
predicted
using
minimal
model
ecology,
Stochastic
Logistic
Model
growth
(SLM).
result
suggests
SLM
more
appropriate
null-model
for
than
alternatives
such
as
Unified
Neutral
Theory
Biodiversity.
Extending
within-scale
results,
examined
relationship
between
calculated
different
scales
(e.g.
genus
vs.
family),
an
empirical
pattern
previously
evaluated
context
Diversity
Begets
(DBD)
hypothesis
(Madi
et
al.,
2020).
richness
estimates
assuming
independence
members,
demonstrating
DBD
sufficiently
explained
null
Contrastingly,
only
by
including
correlations
members
consequence
interactions)
predict
results
this
study
novel
patterns
establish
sharp
demarcation
recently
proposed
not
affected
interactions.
Molecular Microbiology,
Год журнала:
2024,
Номер
122(3), С. 294 - 303
Опубликована: Фев. 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.
Model
microbial
communities
are
regularly
used
to
test
ecological
and
evolutionary
theory
as
they
easy
manipulate
have
fast
generation
times,
allowing
for
large-scale,
high-throughput
experiments.
A
key
assumption
most
model
is
that
stably
coexist,
but
this
rarely
tested
experimentally.
Here
we
report
the
(dis)assembly
of
a
five-species
community
from
metacommunity
soil
microbes
can
be
future
Using
reciprocal
invasion-from-rare
experiments
show
all
species
coexist
demonstrate
stable
long
time
(~600
generations).
Crucially
work,
each
identified
by
their
plate
morphologies,
even
after
>1
year
in
co-culture.
We
characterise
pairwise
interactions
produce
high-quality
reference
genomes
species.
This
questions
ecology
evolution.
Frontiers in Microbiology,
Год журнала:
2021,
Номер
12
Опубликована: Апрель 9, 2021
Recent
advances
in
robotics
and
affordable
genomic
sequencing
technologies
have
made
it
possible
to
establish
quantitatively
track
the
assembly
of
enrichment
communities
high-throughput.
By
conducting
community
experiments
up
thousands
synthetic
habitats,
where
extrinsic
sources
variation
among
replicates
can
be
controlled,
we
now
study
reproducibility
predictability
microbial
at
different
levels
organization,
its
relationship
with
nutrient
composition
other
ecological
drivers.
Through
a
dialog
mathematical
models,
high-throughput
are
bringing
us
closer
goal
developing
quantitative
predictive
theory
assembly.
In
this
short
review,
present
an
overview
recent
research
on
growing
field,
highlighting
connection
between
suggesting
directions
for
future
work.
In
order
to
understand
the
function
and
structure
of
microbial
communities,
one
must
know
all
pairwise
interactions
that
occur
between
different
species
within
community,
as
these
shape
community’s
functioning.
However,
measuring
can
be
an
extremely
difficult
task
especially
when
dealing
with
big
complex
communities.
Abstract
Most
ecological
models
are
based
on
the
assumption
that
species
interact
in
pairs.
Diverse
communities,
however,
can
have
higher‐order
interactions,
which
two
or
more
jointly
impact
growth
of
a
third
species.
A
pitfall
common
pairwise
approach
is
it
misses
interactions
potentially
responsible
for
maintaining
natural
diversity.
Here,
we
explore
stability
properties
systems
where
guarantee
specified
set
abundances
feasible
equilibrium
dynamics.
Even
these
lead
to
equilibria
do
not
necessarily
produce
stable
coexistence.
Instead,
likely
be
when
weak
facilitative.
Correlations
between
and
permit
robust
coexistence
even
diverse
systems.
Our
work
only
reveals
challenges
generating
through
but
also
uncovers
interaction
patterns
enable
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Фев. 15, 2022
Abstract
Microbial
interactions
are
expected
to
modulate
microbial
diversity,
but
whether
they
inhibit
or
stimulate
further
diversity
in
complex
communities,
and
how,
remains
poorly
understood.
By
assembling
communities
multiple
identical
habitats
with
a
single
limiting
nutrient,
here
we
provide
direct
evidence
for
the
role
of
niche
construction
cross-feeding
driving
positive
relationship
between
community
focal
lineage
communities.
Combining
these
experiments
simulations,
show
that
this
is
not
inevitable
depends
on
underlying
metabolic
structure
by-product
secretions
uptake
different
taxonomic
levels.
The American Naturalist,
Год журнала:
2024,
Номер
204(4), С. 381 - 399
Опубликована: Июнь 28, 2024
AbstractA
central
challenge
in
community
ecology
is
understanding
and
predicting
the
effects
of
abiotic
factors
on
assembly.
In
particular,
microbial
communities
play
a
role
ecosystem,
but
we
do
not
understand
how
changing
like
temperature
are
going
to
affect
composition
or
function.
this
article,
studied
self-assembly
multiple
synthetic
environments
changes
based
metabolic
responses
different
functional
groups
along
gradient.
many
communities,
coexist
through
partitioning
carbon
sources
an
emergent
trophic
structure
(cross-feeding).
system,
respirofermentative
bacteria
display
preference
for
sugars
supplied
as
only
source
secrete
secondary
(organic
acids)
that
more
efficiently
consumed
by
obligate
respirators.
As
consequence
structure,
plasticity
respirofermenters
has
downstream
consequences
relative
abundance
respirators
across
temperatures.
We
found
temperatures
can
largely
be
described
increase
fermentation
by-products
with
increasing
from
bacteria.
This
research
highlights
importance
trade-offs
species
interactions
dynamics
gradients.