bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Авг. 6, 2022
Abstract
The
role
of
intraspecific
variability
(IV)
in
shaping
community
dynamics
and
species
coexistence
has
been
intensively
discussed
over
the
past
decade
modelling
studies
have
played
an
important
that
respect.
However,
these
often
implicitly
assume
IV
can
be
represented
by
independent
random
draws
around
speciesspecific
mean
parameters.
This
major
assumption
largely
remained
undiscussed,
although
a
great
part
observed
is
structured
space
or
time,
particular
when
environmental
dimensions
influence
individual
performance
are
imperfectly
characterised
unobserved
field.
To
test
impact
this
strong
on
outcome
models,
we
designed
simulation
experiment
where
varied
level
knowledge
environment
virtual
communities,
resulting
different
relative
importance
explained
vs
unexplained
spatial
variation
performance.
We
used
simulator
to
generate
communities
is,
not,
added
as
unstructured
noise.
Communities
simulated
with
never
reached
diversity
composition
those
all
was
(perfect
model).
highlights
incorporating
(
i.e
.
noise)
account
for
(but
structured)
lead
incorrect
simulations
dynamics.
In
addition,
effects
depended
IV,
environment,
which
may
partly
explain
contrasting
results
previous
effect
coexistence.
particular,
positive
proportion
model
low,
but
negative
high.
because
noise
either
limit
competitive
exclusion
inferior
competitors
low
destabilise
tight
niche
partitioning
high
dimension.
Our
study
suggests
it
crucial
sources
structure
real
better
understand
its
assembly
properly
include
models.
Peer Community Journal,
Год журнала:
2024,
Номер
4
Опубликована: Март 11, 2024
The
role
of
intraspecific
variability
(IV)
in
shaping
community
dynamics
and
species
coexistence
has
been
intensively
discussed
over
the
past
decade
modelling
studies
have
played
an
important
that
respect.
However,
these
often
implicitly
assume
IV
can
be
represented
by
independent
random
draws
around
species-specific
mean
parameters.
This
major
assumption
largely
remained
undiscussed,
although
a
great
part
observed
is
structured
space
or
time,
particular
when
environmental
dimensions
influence
individual
performance
are
imperfectly
characterised
unobserved
field.
To
test
impact
this
strong
on
outcome
models,
we
designed
simulation
experiment
where
varied
level
knowledge
environment
virtual
communities,
resulting
different
relative
importance
explained
vs
unexplained
spatial
variation
performance.
We
used
simulator
to
generate
communities
is,
not,
added
as
unstructured
noise.
Communities
simulated
with
never
reached
diversity
composition
those
all
was
(perfect
model).
highlights
incorporating
(i.e.
noise)
account
for
(but
structured)
lead
incorrect
simulations
dynamics.
In
addition,
effects
depended
IV,
i.e.
environment,
which
may
partly
explain
contrasting
results
previous
effect
coexistence.
particular,
positive
proportion
model
low,
but
negative
high.
because
noise
either
limit
competitive
exclusion
inferior
competitors
low
destabilise
tight
niche
partitioning
high
dimension.
Our
study
suggests
it
crucial
sources
structure
real
better
understand
its
assembly
properly
include
models.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 21, 2024
Abstract
A
microbiome’s
composition,
stability,
and
response
to
perturbations
is
dictated
by
the
community
interaction
matrix
1-10
that
commonly
assayed
pair-wise
species
competition.
In
their
natural
environment
however,
microbes
concurrently
experience
multiple
species,
face
conditions
may
be
difficult
mimic
in
vitro,
have
members
are
impractical
isolate.
Additionally,
due
overlapping
of
evolutionary
ecological
timescales,
also
influenced
intra-species
diversity,
but
how
what
extent
remains
poorly
understood
11-14.
Here,
we
develop
a
general
approach
called
Dynamic
Covariance
Mapping
(DCM)
estimate
multispecies
microbiome
its
from
abundance
time-series
data.
Together
with
high-resolution
lineage
tracking
via
chromosomal
barcoding,
quantify
inter-
during
E.
coli
colonization
mice
gut
increasing
complexity:
germ-free,
antibiotic-perturbed,
innate
microbiota.
With
DCM,
differentiate
three
temporal
phases
invasion
susceptible
communities:
1)
initial
loss
stability
as
enters;
2)
recolonization
some
bacteria;
3)
recovery
clones
coexisting
resident
bacteria
quasi-steady
state.
These
specific
interactions
between
sub-lineages
other
community.
results
highlight
transient
nature
time-dependence
networks
microbiomes
driven
persistent
coupling
dynamics.
Our
theoretical
experimental
can
applied
characterize
coupled
ecological-evolutionary
dynamics
bacterial
communities
vitro
situ.
Ecology and Evolution,
Год журнала:
2024,
Номер
14(8)
Опубликована: Авг. 1, 2024
Abstract
Most
ecological
studies
attempting
to
understand
causes
of
population
dynamics
and
community
structure
disregard
intraspecific
trait
variation.
We
quantified
the
importance
natural
intra‐cohort
variation
in
body
size
density
juveniles
for
recruitment
a
sessile
marine
organism,
barnacle
Semibalanus
balanoides
.
Barnacles
are
representative
species
organised
metapopulations,
that
is,
as
open
local
populations
connected
by
larval
dispersal.
tracked
individual
growth
survival
cohort
juvenile
barnacles
from
two
shores
North
Wales.
settled
larvae
spring
2002
on
previously
cleared
rock.
The
these
new
recruits
was
experimentally
manipulated
June
randomly
selected
individuals
were
monitored
October
evaluate
role
predicting
survival.
In
doing
so
we
characterised
at
three
spatial
scales
(quadrat:
25
cm
2
,
cells
within
quadrats:
mm
neighbourhood:
number
neighbours
physical
contact
with
target
barnacle).
At
all
scales,
variations
exacerbated
effect
density‐dependent
mortality
size.
While
very
intense
small‐sized
individuals,
large‐sized
experienced
weak
showed
high
rates.
Using
concept
‘Jensen
inequality’,
show
important
biases
estimations
survival,
based
only,
occur
densities,
where
is
low.
Our
study
highlights
understanding
populations.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Авг. 6, 2022
Abstract
The
role
of
intraspecific
variability
(IV)
in
shaping
community
dynamics
and
species
coexistence
has
been
intensively
discussed
over
the
past
decade
modelling
studies
have
played
an
important
that
respect.
However,
these
often
implicitly
assume
IV
can
be
represented
by
independent
random
draws
around
speciesspecific
mean
parameters.
This
major
assumption
largely
remained
undiscussed,
although
a
great
part
observed
is
structured
space
or
time,
particular
when
environmental
dimensions
influence
individual
performance
are
imperfectly
characterised
unobserved
field.
To
test
impact
this
strong
on
outcome
models,
we
designed
simulation
experiment
where
varied
level
knowledge
environment
virtual
communities,
resulting
different
relative
importance
explained
vs
unexplained
spatial
variation
performance.
We
used
simulator
to
generate
communities
is,
not,
added
as
unstructured
noise.
Communities
simulated
with
never
reached
diversity
composition
those
all
was
(perfect
model).
highlights
incorporating
(
i.e
.
noise)
account
for
(but
structured)
lead
incorrect
simulations
dynamics.
In
addition,
effects
depended
IV,
environment,
which
may
partly
explain
contrasting
results
previous
effect
coexistence.
particular,
positive
proportion
model
low,
but
negative
high.
because
noise
either
limit
competitive
exclusion
inferior
competitors
low
destabilise
tight
niche
partitioning
high
dimension.
Our
study
suggests
it
crucial
sources
structure
real
better
understand
its
assembly
properly
include
models.