Simulation
is
a
key
tool
in
population
genetics
for
both
methods
development
and
empirical
research,
but
producing
simulations
that
recapitulate
the
main
features
of
genomic
data
sets
remains
major
obstacle.
Today,
more
realistic
are
possible
thanks
to
large
increases
quantity
quality
available
genetic
data,
sophistication
inference
simulation
software.
However,
implementing
these
still
requires
substantial
time
specialized
knowledge.
These
challenges
especially
pronounced
simulating
genomes
species
not
well-studied,
since
it
always
clear
what
information
required
produce
with
level
realism
sufficient
confidently
answer
given
question.
The
community-developed
framework
stdpopsim
seeks
lower
this
barrier
by
facilitating
complex
models
using
up-to-date
information.
initial
version
focused
on
establishing
six
well-characterized
model
().
Here,
we
report
improvements
made
new
release
(version
0.2),
which
includes
significant
expansion
catalog
additions
capabilities.
Features
added
improve
simulated
include
non-crossover
recombination
provision
species-specific
annotations.
Through
community-driven
efforts,
expanded
number
than
three-fold
broadened
coverage
across
tree
life.
During
process
expanding
catalog,
have
identified
common
sticking
points
developed
best
practices
setting
up
genome-scale
simulations.
We
describe
input
generating
simulation,
suggest
good
obtaining
relevant
from
literature,
discuss
pitfalls
considerations.
aim
further
promote
use
whole-genome
simulations,
non-model
organisms,
making
them
available,
transparent,
accessible
everyone.
Conservation Genetics,
Journal Year:
2023,
Volume and Issue:
25(1), P. 49 - 57
Published: Aug. 8, 2023
Abstract
Habitat
loss
and
population
fragmentation
pose
severe
threats
to
biodiversity
the
survival
of
many
species.
Population
isolation
decline
in
effective
size
lead
increased
genetic
drift
inbreeding.
In
turn,
this
reduces
neutral
diversity,
it
also
affects
load
deleterious
mutations.
Here,
we
analyse
effect
such
genomic
erosion
by
designing
a
spatially
explicit,
individual
based
model
SLiM,
simulating
effects
recorded
habitat
Mauritius
over
past
~
250
years.
We
show
that
diversity
(genome-wide
heterozygosity)
was
barely
noticeable
during
first
100
years
loss.
Changes
took
even
more
time
register,
they
only
became
apparent
circa
200
after
start
decline.
Although
considerable
number
mutations
were
lost
drift,
others
frequency.
The
masked
thus
converted
into
realised
load,
which
compromised
fitness
viability
much
native
had
been
lost.
Importantly,
continued
metapopulation
stabilised
at
low
numbers.
Our
study
shows
historic
can
sustained
threat
populations
future
generations,
without
further
UN’s
Decade
on
Ecosystem
Restoration
needs
transformative
change
save
species
from
extinction,
requires
urgent
restoration
natural
habitats.
Molecular Biology and Evolution,
Journal Year:
2023,
Volume and Issue:
40(2)
Published: Feb. 1, 2023
Island
ecosystems
provide
natural
laboratories
to
assess
the
impacts
of
isolation
on
population
persistence.
However,
most
studies
persistence
have
focused
a
single
species,
without
comparisons
other
organisms
they
interact
with
in
ecosystem.
The
case
study
moose
and
gray
wolves
Isle
Royale
allows
for
direct
contrast
genetic
variation
isolated
populations
that
experienced
dramatically
differing
trajectories
over
past
decade.
Whereas
wolf
recently
declined
nearly
extinction
due
severe
inbreeding
depression,
has
thrived
continues
persist,
despite
having
low
diversity
being
∼120
years.
Here,
we
examine
patterns
genomic
underlying
continued
population.
We
document
high
levels
population,
roughly
as
at
time
its
decline.
manifests
form
intermediate-length
runs
homozygosity
suggestive
historical
purging,
contrasting
long
observed
smaller
Using
simulations,
confirm
substantial
purging
likely
occurred
also
notable
increases
load,
which
could
eventually
threaten
viability
term.
Overall,
our
results
demonstrate
complex
relationship
between
inbreeding,
diversity,
highlights
use
datasets
computational
simulation
tools
understanding
factors
enabling
populations.
Simulation
is
a
key
tool
in
population
genetics
for
both
methods
development
and
empirical
research,
but
producing
simulations
that
recapitulate
the
main
features
of
genomic
datasets
remains
major
obstacle.
Today,
more
realistic
are
possible
thanks
to
large
increases
quantity
quality
available
genetic
data,
sophistication
inference
simulation
software.
However,
implementing
these
still
requires
substantial
time
specialized
knowledge.
These
challenges
especially
pronounced
simulating
genomes
species
not
well-studied,
since
it
always
clear
what
information
required
produce
with
level
realism
sufficient
confidently
answer
given
question.
The
community-developed
framework
stdpopsim
seeks
lower
this
barrier
by
facilitating
complex
models
using
up-to-date
information.
initial
version
focused
on
establishing
six
well-characterized
model
(Adrion
et
al.,
2020).
Here,
we
report
improvements
made
new
release
(version
0.2),
which
includes
significant
expansion
catalog
additions
capabilities.
Features
added
improve
simulated
include
non-crossover
recombination
provision
species-specific
annotations.
Through
community-driven
efforts,
expanded
number
than
threefold
broadened
coverage
across
tree
life.
During
process
expanding
catalog,
have
identified
common
sticking
points
developed
best
practices
setting
up
genome-scale
simulations.
We
describe
input
data
generating
simulation,
suggest
good
obtaining
relevant
from
literature,
discuss
pitfalls
considerations.
aim
further
promote
use
whole-genome
simulations,
non-model
organisms,
making
them
available,
transparent,
accessible
everyone.
Molecular Ecology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 6, 2025
ABSTRACT
Restricted
range
size
brings
about
noteworthy
genetic
consequences
that
may
affect
the
viability
of
a
population
and
eventually
its
extinction.
Particularly,
question
if
an
increase
in
inbreeding
can
avert
accumulation
load
via
purging
is
hotly
debated
conservation
field.
Insular
populations
with
limited
sizes
represent
ideal
setup
for
relating
to
these
factors.
Leveraging
set
eight
differently
sized
Galápagos
mockingbirds
(
Mimus
),
we
investigated
how
island
shaped
effective
N
e
load.
We
assembled
genome
M.
melanotis
genotyped
three
individuals
per
by
whole‐genome
resequencing.
Demographic
inference
showed
most
remained
high
after
colonisation
archipelago
1–2
Mya.
decline
parvulus
happened
only
10–20
Kya,
whereas
critically
endangered
trifasciatus
longer
history
reduced
.
Despite
historical
fluctuations,
current
determines
linear
fashion.
In
contrast,
significant
coefficients,
derived
from
runs
homozygosity,
were
identified
four
smallest
populations.
The
index
additive
suggested
,
where
lowest
By
carried
highest
load,
possibly
due
recent
rapid
bottleneck.
Overall,
our
study
demonstrates
complex
effect
demography
on
providing
implications
genetics
general
project
particular.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Sept. 15, 2022
Abstract
Many
species
are
facing
unprecedented
population
size
declines
and
deterioration
of
their
environment.
This
exposes
to
genomic
erosion,
which
we
define
here
as
the
damage
inflicted
a
species’
genome
or
gene
pool
due
loss
genetic
diversity,
an
increase
in
expressed
load,
maladaptation,
and/or
introgression.
The
International
Union
for
Conservation
Nature
(IUCN)
bases
its
extinction
risk
assessments
on
direct
threats
habitat.
However,
it
does
not
assess
long-term
impacts
hence,
is
likely
underestimate
many
species.
High-quality
whole
sequence
data
that
currently
being
generated
could
help
improve
assessments.
Genomic
contains
information
about
past
demography,
genome-wide
incidence
introgression,
well
load
deleterious
mutations.
Computer
modelling
these
enables
forecasting
trajectories
under
different
management
scenarios.
In
this
Perspective,
discuss
posed
by
erosion.
Using
evolutionary
simulations,
argue
provides
critical
assessing
recovery
potential
Genomics-informed
complement
IUCN
Red
List,
such
genomics-informed
conservation
invaluable
guiding
programs
UN’s
Decade
Ecosystem
Restoration
beyond.
Evolution,
Journal Year:
2023,
Volume and Issue:
77(7), P. 1539 - 1549
Published: April 19, 2023
Abstract
The
presence
and
impact
of
recessive
lethal
mutations
have
been
widely
documented
in
diploid
outcrossing
species.
However,
precise
estimates
the
proportion
new
that
are
remain
limited.
Here,
we
evaluate
performance
Fit∂a∂i,
a
commonly
used
method
for
inferring
distribution
fitness
effects
(DFE),
mutations.
Using
simulations,
demonstrate
both
additive
cases,
inference
deleterious
nonlethal
portion
DFE
is
minimally
affected
by
small
(<10%)
Additionally,
while
Fit∂a∂i
cannot
estimate
fraction
mutations,
can
accurately
infer
Finally,
as
an
alternative
approach
to
lethal,
employ
models
mutation–selection–drift
balance
using
existing
genomic
parameters
segregating
lethals
humans
Drosophila
melanogaster.
In
species,
load
be
explained
very
(<1%)
nonsynonymous
being
lethal.
Our
results
refute
recent
assertions
much
higher
(4%–5%),
highlighting
need
additional
information
on
joint
selection
dominance
coefficients.
Evolutionary Applications,
Journal Year:
2024,
Volume and Issue:
17(7)
Published: June 28, 2024
Abstract
The
Seychelles
magpie‐robin's
(SMR)
five
island
populations
exhibit
some
of
the
lowest
recorded
levels
genetic
diversity
among
endangered
birds,
and
high
inbreeding.
These
collapsed
during
20th
century,
species
was
listed
as
Critically
Endangered
in
IUCN
Red
List
1994.
An
assisted
translocation‐for‐recovery
program
initiated
1990s
increased
number
mature
individuals,
resulting
its
downlisting
to
2005.
Here,
we
explore
temporal
genomic
erosion
SMR
based
on
a
dataset
201
re‐sequenced
whole
genomes
that
span
past
~150
years.
Our
sample
set
includes
individuals
predate
bottleneck
by
up
100
years,
well
from
contemporary
established
recovery
program.
Despite
SMR's
recent
demographic
recovery,
our
data
reveal
marked
increase
both
load
realized
extant
when
compared
historical
samples.
Conservation
management
may
have
reduced
intensity
selection
increasing
juvenile
survival
relaxing
intraspecific
competition
between
accumulation
loss‐of‐function
mutations
(i.e.
severely
deleterious
variants)
rapidly
recovering
population.
In
addition,
found
3‐fold
decrease
While
low
modern
limit
species'
adaptability
future
environmental
changes,
conservation
efforts
(including
assessments)
also
need
assess
threats
posed
their
load.
computer
simulations
highlight
value
translocations
for
rescue
show
how
this
could
halt
threatened
such
SMR.
Genetic
diversity
within
species
is
the
basis
for
evolutionary
adaptive
capacity
and
has
recently
been
included
as
a
target
protection
in
United
Nations’
Global
Biodiversity
Framework
(GBF).
However,
there
lack
of
reliable
large-scale
predictive
frameworks
to
quantify
how
much
genetic
already
lost,
let
alone
quantitatively
predict
future
losses
under
different
conservation
scenarios
21st
century.
Combining
spatio-temporal
population
theory
with
genomic
data
18
plant
animal
species,
we
studied
dynamics
after
habitat
area
losses.
We
show
reacts
slowly
declines,
but
lagged
will
continue
many
decades
even
habitats
are
fully
protected.
To
understand
magnitude
this
problem,
combined
our
method
species’
monitoring
reported
Living
Planet
Index,
Red
List,
new
GBF
indicators.
then
project
loss
13,808
short-term
13
–
22%
long-term
42
48%
substantial
deviations
depending
on
level
fragmentation.
These
results
highlight
that
only
current
insufficient
ensure
health
continuous
likely
underestimates
long
term
impacts.
provide
an
area-based
framework
develop
quantitative
global
biodiversity.
Molecular Biology and Evolution,
Journal Year:
2024,
Volume and Issue:
41(12)
Published: Nov. 20, 2024
In
recent
years,
advances
in
image
processing
and
machine
learning
have
fueled
a
paradigm
shift
detecting
genomic
regions
under
natural
selection.
Early
techniques
employed
population-genetic
summary
statistics
as
features,
which
focus
on
specific
patterns
expected
by
adaptive
neutral
processes.
Though
such
engineered
features
are
important
when
training
data
limited,
the
ease
at
simulated
can
now
be
generated
has
led
to
development
of
approaches
that
take
representations
haplotype
alignments
automatically
extract
using
convolutional
neural
networks.
Digital
methods
termed
α-molecules
class
for
multiscale
representation
objects
diverse
set
from
images.
One
α-molecule
method,
wavelet
decomposition,
lends
greater
control
over
high-frequency
components
Another
curvelet
is
an
extension
concept
considers
events
occurring
along
curves
within
We
show
application
these
yield
high
true
positive
rate
accuracy
detect
hard
soft
selective
sweep
signatures
with
both
linear
nonlinear
classifiers.
Moreover,
we
find
models
easy
visualize
interpret,
performance
rivaling
those
contemporary
deep
sweeps.