Understanding
evolutionary
genomic
and
population
processes
within
a
species
range
is
key
to
anticipating
the
extinction
of
plant
before
it
too
late.
However,
most
models
biodiversity
risk
projections
under
global
change
do
not
account
for
genetic
variation
local
adaptation
different
populations.
Population
diversity
critical
understanding
because
populations
may
be
more
or
less
susceptible
and,
if
lost,
would
reduce
total
species.
Two
new
modeling
frameworks
advance
our
from
angle:
Rapid
climate
change-driven
disruptions
in
are
predicted
associations
between
genomes
climates.
Furthermore,
losses
land
use
transformations
estimated
by
scaling
relationships
species'
with
habitat
area.
Overall,
these
eco-evolutionary
methods
predictability—and
possibly
preventability—of
ongoing
Abstract
Summary
Pool
sequencing
is
an
efficient
method
for
capturing
genome-wide
allele
frequencies
from
multiple
individuals,
with
broad
applications
such
as
studying
adaptation
in
Evolve-and-Resequence
experiments,
monitoring
of
genetic
diversity
wild
populations,
and
genotype-to-phenotype
mapping.
Here,
we
present
grenedalf,
a
command
line
tool
written
C++
that
implements
common
population
statistics
θ,
Tajima’s
D,
FST
sequencing.
It
orders
magnitude
faster
than
current
tools,
focused
on
providing
usability
scalability,
while
also
offering
plethora
input
file
formats
convenience
options.
Availability
implementation
grenedalf
published
under
the
GPL-3,
freely
available
at
github.com/lczech/grenedalf.
Peer Community Journal,
Год журнала:
2025,
Номер
5
Опубликована: Апрель 9, 2025
It
is
vital
to
understand
the
genomic
basis
of
differences
in
ecologically
important
traits
if
we
are
impact
global
change
on
biodiversity
and
enhance
our
ability
for
targeted
intervention.
This
study
explores
potential
a
novel
genome-wide
association
(GWAS)
approach
identifying
loci
underlying
quantitative
polygenic
natural
populations,
based
phenotypic
population
means
allele
frequency
data
as
obtained
e.g.
by
PoolSeq
approaches.
Extensive
genetic
forward
simulations
demonstrate
that
generally
effective
oligogenic
moderately
relatively
insensitive
low
heritability.
However,
applicability
limited
highly
architectures
pronounced
structure.
The
required
sample
size
moderate
with
very
good
results
being
already
few
dozen
populations
scored.
When
combined
machine
learning
feature
selection,
method
performs
well
predicting
means.
efficiency
method,
particularly
when
using
pooled
sequencing
bulk
phenotyping,
makes
GWAS
studies
more
accessible
research
genomics.
Moreover,
direct
comparison
individual
GWAS,
proposed
performed
constistently
better
regard
number
true
positive
identified
prediction
accuracy.
Overall,
this
highlights
promise
popGWAS
dissecting
complex
populations.
Biological Invasions,
Год журнала:
2024,
Номер
26(5), С. 1327 - 1343
Опубликована: Фев. 12, 2024
Abstract
Evolution
can
occur
over
contemporary
timescales,
which
may
be
crucial
for
the
invasive
success
of
non-native
plant
species.
Many
studies
have
shown
rapid
evolution
by
comparing
native
and
populations
in
common
gardens.
However,
our
understanding
mechanisms
underpinning
is
still
incomplete.
Here,
we
identify
progress,
applications,
limitations
on
plants
with
respect
to
sampling,
experimental
design
methods.
To
encompass
broad
variation
within
between
ranges,
recommend
sampling
across
large-scale
environmental
gradients.
We
also
suggest
careful
consideration
pitfalls
related
choice
seed
families
biotic
interaction
under
focus.
The
latter
should
chosen
a
view
both
treatment
corresponding
field
data
estimate
population
history.
Furthermore,
exploiting
multiple
omics
approaches
address
complexity
interactions,
account
non-adaptive
molecular
demographic
history
populations.
reviewed
papers
that
studied
quantified
how
many
these
met
criteria.
anticipate
disentangling
adaptive
drivers
among-population
increase
accuracy
research
evolution,
integrating
phenotypic,
metabolomic
genomic
bring
opportunities
studying
complex
interactions.
illustrate
importance
large
collaborative
networks
present
scientific
network
iCONNECT
(integrative
CONyza
NEtwork
Contemporary
Trait
evolution),
goal
motivating
similar
mechanistic
evolution.
Nature Ecology & Evolution,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 16, 2025
Climate
warming
is
threatening
biodiversity
by
increasing
temperatures
beyond
the
optima
of
many
ectotherms.
Owing
to
inherent
non-linear
relationship
between
temperature
and
rate
cellular
processes,
such
shifts
towards
hot
are
predicted
impose
stronger
selection
compared
with
corresponding
cold
temperature.
This
suggests
that
when
adaptation
occurs,
it
should
be
relatively
rapid
predictable.
Here
we
tested
this
hypothesis
from
level
single-nucleotide
polymorphisms
life-history
traits
in
beetle
Callosobruchus
maculatus.
We
conducted
an
evolve-and-resequence
experiment
on
three
genetic
backgrounds
reared
at
or
Indeed,
find
phenotypic
evolution
was
faster
more
repeatable
However,
genomic
level,
heat
less
across
backgrounds.
As
a
result,
predictions
populations
exposed
were
accurate
within,
but
not
between,
These
results
seem
best
explained
redundancy
increased
importance
epistasis
during
heat,
imply
same
mechanisms
exert
strong
increase
repeatability
reduce
level.
Thus,
key
phenotypes
data
may
become
increasingly
difficult
as
climates
warm.
New Phytologist,
Год журнала:
2023,
Номер
237(6), С. 2005 - 2011
Опубликована: Янв. 6, 2023
Understanding
evolutionary
genomic
and
population
processes
within
a
species
range
is
key
to
anticipating
the
extinction
of
plant
before
it
too
late.
However,
most
models
biodiversity
risk
under
global
change
do
not
account
for
genetic
variation
local
adaptation
different
populations.
Population
diversity
critical
understanding
because
populations
may
be
more
or
less
susceptible
and,
if
lost,
would
reduce
total
species.
Two
new
modeling
frameworks
advance
our
from
angle:
Rapid
climate
change-driven
disruptions
in
are
predicted
associations
between
genomes
climates.
Furthermore,
losses
land-use
transformations
estimated
by
scaling
relationships
species'
with
habitat
area.
Overall,
these
eco-evolutionary
methods
predictability
-
possibly
preventability
ongoing
Molecular Ecology,
Год журнала:
2023,
Номер
32(16), С. 4467 - 4481
Опубликована: Июнь 9, 2023
Abstract
The
intra‐
and
interspecific
facets
of
biodiversity
have
traditionally
been
analysed
separately,
limiting
our
understanding
how
evolution
has
shaped
biodiversity,
(as
a
whole)
alters
ecological
dynamics
hence
eco‐evolutionary
feedbacks
at
the
community
scale.
Here,
we
propose
using
candidate
genes
phylogenetically‐conserved
across
species
sustaining
functional
traits
as
an
inclusive
unit
transcending
boundaries.
This
framework
merges
knowledge
from
genomics
ecology,
first
provide
guidelines
concrete
example
for
identifying
(PCCGs)
within
communities
measuring
PCCGs.
We
then
explain
measured
PCCGs
can
be
linked
to
ecosystem
functions,
which
unifies
recent
observations
that
both
are
important
functions.
highlight
processes
shaping
PCCG
diversity
patterns
argue
their
respective
role
inferred
concepts
derived
population
genetics.
Finally,
may
shift
field
focal‐species
approach
more
realistic
focal‐community
approach.
provides
novel
perspective
investigate
global
consequences
loss
biological
scales,
these
changes
further
alter
evolution.
Global Ecology and Biogeography,
Год журнала:
2024,
Номер
33(12)
Опубликована: Окт. 7, 2024
ABSTRACT
Aim
Biogeographers
have
believed
for
a
long
time
that
the
geographical
distributions
of
protists
are
only
determined
by
environmental
conditions,
because
dispersal
is
not
limited.
During
past
two
decades,
field
has
come
way
to
show
historical
and
spatial
factors
also
significantly
contribute
shaping
protist
distributions,
calling
reappraisal
our
understanding
biogeography.
Methods
We
review
current
state‐of‐the‐art
on
biogeography,
highlighting
several
outstanding
questions
opportunities.
Our
brings
together
insights
from
different
disciplines,
ranging
morphology‐based
research
environmental,
population
speciation
genomics.
Results
Protist
communities
harbour
cosmopolitan
geographically
restricted
species
shaped
both
local
conditions
processes,
yet
relative
contributions
these
patterns
processes
likely
differs
depending
geographic
scale,
lineage
habitat
being
investigated.
The
ready
move
beyond
decades‐long
ubiquity
versus
(moderate)
endemicity
discourse
instead
ask
why
where
specific
clades
more
prone
widespread
or
distributions.
With
advent
next‐generation
sequencing
technologies,
whole‐genome
ancient
DNA
surveys,
it
now
possible
integrate
multiple
lines
evidence
investigate
communities,
populations
at
an
unprecedented
scale
detail.
Outlook
To
further
advance
field,
community
needs
focus
understudied
habitats
lineages,
study
impact
traits
biogeographical
patterns,
perform
targeted
experimental
work
disentangle
underlie
biogeographies
expand
develop
databases
with
sequence,
trait,
distributional
phylogenetic
information
protists.
Given
good
boundaries
central
unravelling
remains
crucial
invest
in
polyphasic
taxonomic
research.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 14, 2024
ABSTRACT
It
is
vital
to
understand
the
genomic
basis
of
differences
in
ecologically
important
traits
if
we
are
impact
global
change
on
biodiversity
and
enhance
our
ability
for
targeted
intervention.
This
study
explores
potential
a
novel
genome-wide
association
(GWAS)
approach
identifying
loci
underlying
quantitative
polygenic
natural
populations,
based
phenotypic
population
means
allele
frequency
data
as
obtained
e.g.
by
PoolSeq
approaches.
Extensive
genetic
forward
simulations
demonstrate
that
generally
effective
oligogenic
moderately
relatively
insensitive
low
heritability.
However,
applicability
limited
highly
architectures
pronounced
structure.
The
required
sample
size
moderate
with
very
good
results
being
already
few
dozen
populations
scored.
When
combined
machine
learning
feature
selection,
method
performs
well
predicting
means.
efficiency
method,
particularly
when
using
pooled
sequencing
bulk
phenotyping,
makes
GWAS
studies
more
accessible
research
genomics.
Moreover,
direct
comparison
individual
GWAS,
proposed
performed
constistently
better
regard
number
true
positive
identified
prediction
accuracy.
Overall,
this
highlights
promise
popGWAS
dissecting
complex
populations.
Journal of Evolutionary Biology,
Год журнала:
2023,
Номер
36(3), С. 550 - 562
Опубликована: Янв. 31, 2023
Abstract
While
we
know
that
climate
change
can
potentially
cause
rapid
phenotypic
evolution,
our
understanding
of
the
genetic
basis
and
degree
parallelism
evolutionary
responses
to
is
limited.
In
this
study,
combined
resurrection
approach
with
an
evolve‐and‐resequence
design
examine
genome‐wide
changes
following
drought.
We
exposed
genetically
similar
replicate
populations
annual
plant
Brassica
rapa
derived
from
a
field
population
in
southern
California
four
generations
experimental
drought
or
watered
conditions
greenhouse.
Genome‐wide
sequencing
ancestral
descendant
pools
identified
hundreds
SNPs
showed
evidence
rapidly
evolving
response
Several
these
were
stress
genes,
two
prior
study
species.
However,
almost
all
unique
among
populations,
indicating
largely
nonparallel,
despite
fact
replicates
same
founder
had
experienced
controlled
consistent
selection
regimes.
This
nonparallelism
evolution
at
level
because
polygenetic
adaptation
allowing
for
multiple
different
routes
outcomes.
Our
findings
help
elucidate
relationship
between
genomic
shed
light
on
predictability
environmental
change.