BioScience,
Год журнала:
2021,
Номер
72(1), С. 45 - 56
Опубликована: Июль 27, 2021
Abstract
Intensifying
global
change
is
propelling
many
ecosystems
toward
irreversible
transformations.
Natural
resource
managers
face
the
complex
task
of
conserving
these
important
resources
under
unprecedented
conditions
and
expanding
uncertainty.
As
once
familiar
ecological
disappear,
traditional
management
approaches
that
assume
future
will
reflect
past
are
becoming
increasingly
untenable.
In
present
article,
we
place
adaptive
within
resist–accept–direct
(RAD)
framework
to
assist
informed
risk
taking
for
transforming
ecosystems.
This
approach
empowers
use
techniques
associated
with
in
unfamiliar
territory
ecosystem
transformation.
By
providing
a
common
lexicon,
it
gives
decision
makers
agency
revisit
objectives,
consider
new
system
trajectories,
discuss
RAD
strategies
relation
current
state
direction
change.
Operationalizing
requires
periodic
review
update
actions
objectives;
monitoring,
experimentation,
pilot
studies;
bet
hedging
better
identify
tolerate
risks.
Proceedings of the National Academy of Sciences,
Год журнала:
2023,
Номер
120(12)
Опубликована: Март 14, 2023
Multivariate
climate
change
presents
an
urgent
need
to
understand
how
species
adapt
complex
environments.
Population
genetic
theory
predicts
that
loci
under
selection
will
form
monotonic
allele
frequency
clines
with
their
selective
environment,
which
has
led
the
wide
use
of
genotype–environment
associations
(GEAs).
This
study
used
a
set
simulations
elucidate
conditions
are
more
or
less
likely
evolve
as
multiple
quantitative
traits
multivariate
Phenotypic
evolved
nonmonotonic
(i.e.,
nonclinal)
patterns
in
frequencies
promoted
unique
combinations
mutations
achieve
optimum
different
parts
landscape.
Such
resulted
from
interactions
among
landscape,
demography,
pleiotropy,
and
architecture.
GEA
methods
failed
accurately
infer
basis
adaptation
range
scenarios
due
first
principles
(clinal
did
not
evolve)
statistical
issues
but
were
detected
overcorrection
for
structure).
Despite
limitations
GEAs,
this
shows
back-transformation
ordination
can
predict
individual
genotype
environmental
data
regardless
whether
inference
GEAs
was
accurate.
In
addition,
frameworks
introduced
be
by
empiricists
quantify
importance
clinal
alleles
adaptation.
research
highlights
trait
prediction
lead
accurate
underlying
display
patterns.
Nature Ecology & Evolution,
Год журнала:
2024,
Номер
8(2), С. 267 - 281
Опубликована: Янв. 15, 2024
Abstract
Genetic
monitoring
of
populations
currently
attracts
interest
in
the
context
Convention
on
Biological
Diversity
but
needs
long-term
planning
and
investments.
However,
genetic
diversity
has
been
largely
neglected
biodiversity
monitoring,
when
addressed,
it
is
treated
separately,
detached
from
other
conservation
issues,
such
as
habitat
alteration
due
to
climate
change.
We
report
an
accounting
efforts
monitor
population
Europe
(genetic
effort,
GME),
evaluation
which
can
help
guide
future
capacity
building
collaboration
towards
areas
most
need
expanded
monitoring.
Overlaying
GME
with
where
ranges
selected
species
approach
current
niche
limits
helps
identify
whether
coincides
anticipated
change
effects
biodiversity.
Our
analysis
suggests
that
country
area,
financial
resources
policy
influence
GME,
high
values
only
partially
match
species’
joint
patterns
suitable
climatic
conditions.
Populations
at
trailing
margins
probably
hold
important
for
adaptation
changing
climate.
results
illuminate
investment
across
gradients
occupied
by
focal
species,
a
arguably
greatest
southeastern
European
countries.
This
could
be
met
part
expanding
Union’s
Birds
Habitats
Directives
fully
address
diversity.
Evolutionary Applications,
Год журнала:
2018,
Номер
11(7), С. 1139 - 1148
Опубликована: Янв. 2, 2018
We
compare
the
two
main
classes
of
measures
population
structure
in
genetics:
(i)
fixation
such
as
FST,GST,
and
θ
(ii)
allelic
differentiation
Jost's
D
entropy
differentiation.
These
groups
quantify
complementary
aspects
structure,
which
have
no
necessary
relationship
with
each
other.
focus
especially
on
empirical
relevant
to
conservation
analyses.
At
level,
first
set
nearness
fixation,
while
second
relative
degree
The
sets
do
not
compete
Fixation
are
often
misinterpreted
applications;
we
give
examples
theoretical
explanations
showing
why
this
interpretation
can
mislead.
This
misinterpretation
has
led
mistaken
belief
that
absolute
number
migrants
determines
between
demes
when
mutation
rate
is
low;
show
finite
island
model,
a
different
quantity,
factor
controls
D,
good
predictor
evolution
actual
genetic
divergence
at
equilibrium
model.
also
decisions
require
judgments
about
differences
composition
demes,
should
be
used
instead
measures.
Allelic
fast-mutating
markers
rank
pairs
or
according
their
differentiation,
but
coding
loci
interest
directly
measured
order
judge
its
magnitude
these
loci.
Evolutionary Applications,
Год журнала:
2018,
Номер
11(8), С. 1197 - 1211
Опубликована: Июнь 8, 2018
Abstract
New
computational
methods
and
next‐generation
sequencing
(NGS)
approaches
have
enabled
the
use
of
thousands
or
hundreds
genetic
markers
to
address
previously
intractable
questions.
The
massive
marker
sets
present
both
new
data
analysis
challenges
opportunities
visualize,
understand,
apply
population
conservation
genomic
in
novel
ways.
large
scale
complexity
NGS
also
increases
expertise
effort
required
thoroughly
thoughtfully
analyze
interpret
data.
To
aid
this
endeavor,
a
recent
workshop
entitled
“Population
Genomic
Data
Analysis,”
known
as
“ConGen
2017,”
was
held
at
University
Montana.
ConGen
brought
15
instructors
together
with
knowledge
wide
range
topics
including
filtering,
genome
assembly,
monitoring
effective
size,
migration
modeling,
detecting
adaptive
variation,
genomewide
association
analysis,
inbreeding
depression,
landscape
genomics.
Here,
we
summarize
major
themes
important
take‐home
points
that
were
offered
students
throughout.
We
emphasize
increasing
participation
by
women
genomics
vital
step
for
advancement
science.
Some
emerged
during
included
need
visualization
its
importance
finding
problematic
data,
effects
filtering
choices
on
downstream
analyses,
availability
whole‐genome
sequencing,
it
presents.
Our
goal
here
is
help
motivate
educate
worldwide
audience
improve
interpretation,
thereby
advance
contribution
molecular
ecology,
evolutionary
biology,
especially
biodiversity.
Evolutionary Applications,
Год журнала:
2019,
Номер
13(1), С. 116 - 131
Опубликована: Сен. 17, 2019
We
evaluate
genomic
data,
relative
to
phenotypic
and
climatic
as
a
basis
for
assisted
gene
flow
genetic
conservation.
Using
seedling
common
garden
trial
of
281
lodgepole
pine
(Pinus
contorta)
populations
from
across
western
Canada,
we
compare
data
assess
their
effectiveness
in
characterizing
the
drivers
spatial
scale
local
adaptation
this
species.
find
that
phenotype-associated
loci
are
equivalent
or
slightly
superior
climate
describing
traits,
but
have
not
been
selected
associations.
also
agreement
between
variables
associated
with
variation
20-year
heights
long-term
provenance
trial,
suggesting
may
be
viable
option
identifying
where
unavailable.
Genetic
clines
experimental
traits
occur
at
broad
scales,
standing
adaptive
alleles
similar
species
does
require
management
scales
finer
than
those
indicated
by
data.
This
study
demonstrates
most
useful
when
paired
can
fill
some
traditional
roles
which
trials
feasible.
Frontiers in Plant Science,
Год журнала:
2020,
Номер
11
Опубликована: Окт. 21, 2020
Studying
the
genetics
of
adaptation
to
new
environments
in
ecologically
and
industrially
important
tree
species
is
currently
a
major
research
line
fields
plant
science
genetic
improvement
for
tolerance
abiotic
stress.
Exploring
genomic
basis
local
imperative
assessing
conditions
under
which
trees
will
successfully
adapt
situ
global
climate
change.
However,
this
knowledge
has
scarcely
been
used
conservation
forest
because
woody
perennials
face
limitations
such
as
their
outcrossing
reproductive
systems,
long
juvenile
phase,
huge
genome
sizes.
Therefore,
review
we
discuss
predictive
approaches
that
promise
increasing
selection
accuracy
shortening
generation
intervals.
They
may
also
assist
detection
novel
allelic
variants
from
germplasm,
disclose
potential
different
environments.
For
instance,
natural
populations
allow
using
tools
population
genomics
field
study
signatures
adaptation.
Conventional
markers
whole
sequencing
both
help
identifying
genes
diverge
between
more
than
expected
neutrality,
exhibit
unique
diversity
indicative
'selective
sweeps'.
Ultimately,
these
efforts
inform
breeding
status
capable
pivoting
health,
ecosystem
services,
sustainable
production.
Key
long-term
perspectives
include
understanding
how
trees'
phylogeographic
history
affect
adaptive
relevant
variation
available
environmental
Encouraging
'big
data'
(machine
learning
–ML)
comprehensively
merging
heterogeneous
ecological
datasets
becomes
imperative,
too.
Molecular Ecology Resources,
Год журнала:
2020,
Номер
20(3), С. 662 - 680
Опубликована: Янв. 11, 2020
Abstract
The
genomic
era
has
led
to
an
unprecedented
increase
in
the
availability
of
genome‐wide
data
for
a
broad
range
taxa.
Wildlife
management
strives
make
use
these
vast
resources
enable
refined
genetic
assessments
that
enhance
biodiversity
conservation.
However,
as
new
platforms
emerge,
problems
remain
adapting
usually
complex
approaches
genotyping
noninvasively
collected
wildlife
samples.
Here,
we
provide
practical
guidelines
standardized
development
reduced
single
nucleotide
polymorphism
(SNP)
panels
applicable
microfluidic
degraded
DNA
samples,
such
faeces
or
hairs.
We
demonstrate
how
SNP
can
be
optimized
efficiently
monitor
European
wildcat
(
Felis
silvestris
S.)
populations.
show
set
up
modular
fashion
accommodate
informative
markers
relevant
population
genetics
questions,
individual
identification,
hybridization
assessment
and
detection
structure.
discuss
various
aspects
regarding
implementation
framework
will
allow
both
molecular
ecologists
practitioners
help
bridge
gap
between
genomics
applied