Evolutionary Applications,
Год журнала:
2024,
Номер
17(6)
Опубликована: Июнь 1, 2024
Abstract
Climate
change
poses
a
particular
threat
to
long‐lived
trees,
which
may
not
adapt
or
migrate
fast
enough
keep
up
with
rising
temperatures.
Assisted
gene
flow
could
facilitate
adaptation
of
populations
future
climates
by
using
managed
translocation
seeds
from
warmer
location
(provenance)
within
the
current
range
species.
Finding
provenance
that
will
perform
best
in
terms
survival
growth
is
complicated
trade‐off.
Because
trees
face
rapidly
changing
climate
during
their
long
lives,
alleles
confer
optimal
performance
vary
across
lifespan.
For
instance,
provenances
be
well
adapted
as
adults
but
suffer
colder
temperatures
while
juvenile.
Here
we
use
stage‐structured
model,
both
analytical
predictions
and
numerical
simulations,
determine
would
maximize
cohort
climate.
We
parameterize
our
simulations
empirically
estimated
demographic
transition
matrices
for
20
tree
Unable
find
reliable
quantitative
estimates
how
climatic
tolerance
changes
stages
these
same
species,
varied
this
parameter
study
its
effect.
Both
mathematical
model
predict
depends
strongly
on
also
varies
lifespan
tree.
thus
call
increased
empirical
efforts
measure
over
life
suggests
it
should
influence
assisted
flow.
Evolutionary Applications,
Год журнала:
2020,
Номер
14(3), С. 634 - 652
Опубликована: Окт. 24, 2020
Abstract
Animal
and
plant
species
around
the
world
are
being
challenged
by
deleterious
effects
of
inbreeding,
loss
genetic
diversity,
maladaptation
due
to
widespread
habitat
destruction
rapid
climate
change.
In
many
cases,
interventions
will
likely
be
needed
safeguard
populations
maintain
functioning
ecosystems.
Strategies
aimed
at
initiating,
reinstating,
or
enhancing
patterns
gene
flow
via
deliberate
movement
genotypes
environment
generating
growing
interest
with
broad
applications
in
conservation
environmental
management.
These
diverse
strategies
go
various
names
ranging
from
evolutionary
rescue
provenancing
resurrection.
Our
aim
here
is
provide
some
clarification
terminology
how
these
connected
linked
underlying
processes.
We
draw
on
case
studies
literature
outline
mechanisms
that
underlie
increase
fitness
impact
wider
community.
argue
understanding
leading
decline
community
a
key
successful
implementation
strategies.
emphasize
need
consider
nature
source
recipient
populations,
as
well
associated
risks
trade‐offs
for
This
overview
highlights
where
have
potential
population,
species,
ecosystem
scales,
but
also
they
should
probably
not
attempted
depending
overall
aims
intervention.
advocate
an
approach
short‐
long‐term
integrated
into
decision
framework
considers
nongenetic
aspects
Nature Communications,
Год журнала:
2022,
Номер
13(1)
Опубликована: Ноя. 1, 2022
Abstract
Rapid
global
climate
change
is
posing
a
substantial
threat
to
biodiversity.
The
assessment
of
population
vulnerability
and
adaptive
capacity
under
crucial
for
informing
conservation
mitigation
strategies.
Here
we
generate
chromosome-scale
genome
assembly
re-sequence
genomes
230
individuals
collected
from
24
populations
Populus
koreana
,
pioneer
keystone
tree
species
in
temperate
forests
East
Asia.
We
integrate
genomics
environmental
variables
reveal
set
climate-associated
single-nucleotide
polymorphisms,
insertion/deletions
structural
variations,
especially
numerous
non-coding
variants
distributed
across
the
genome.
incorporate
these
into
an
modeling
scheme
predict
highly
spatiotemporal
shift
this
response
future
change.
further
identify
most
vulnerable
that
need
priority
many
candidate
genes
may
be
useful
forest
breeding
with
special
aims.
Our
findings
highlight
importance
integrating
genomic
data
key
rapid
future.
Evolutionary Applications,
Год журнала:
2019,
Номер
13(1), С. 3 - 10
Опубликована: Дек. 12, 2019
Abstract
Forest
ecosystems
provide
important
ecological
services
and
resources,
from
habitat
for
biodiversity
to
the
production
of
environmentally
friendly
products,
play
a
key
role
in
global
carbon
cycle.
Humanity
is
counting
on
forests
sequester
store
substantial
portion
anthropogenic
dioxide
produced
globally.
However,
unprecedented
rate
climate
change,
deforestation,
accidental
importation
invasive
insects
diseases
are
threatening
health
productivity
forests,
their
capacity
these
services.
Knowledge
genetic
diversity,
local
adaptation,
control
traits
required
predict
adaptive
tree
populations,
inform
forest
management
conservation
decisions,
improve
breeding
productive
trees
that
will
withstand
challenges
21st
century.
Genomic
approaches
have
well
accelerated
generation
knowledge
evolutionary
underpinnings
nonmodel
species,
advanced
applications
address
challenges.
This
special
issue
Evolutionary
Applications
features
14
papers
demonstrate
value
wide
range
genomic
can
be
used
better
understand
biology
trees,
including
species
widespread
managed
timber
production,
others
threatened
or
endangered,
serve
roles.
We
highlight
some
major
advances,
ranging
understanding
evolution
genomes
since
period
when
gymnosperms
separated
angiosperms
300
million
years
ago
using
selection
accelerate
productivity.
also
discuss
future
directions
applying
tools
long‐standing
questions
about
trees.
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 Biology and Evolution,
Год журнала:
2022,
Номер
39(2)
Опубликована: Янв. 10, 2022
Hybridization
and
resulting
introgression
are
important
processes
shaping
the
tree
of
life
appear
to
be
far
more
common
than
previously
thought.
However,
how
genome
evolution
was
shaped
by
various
genetic
evolutionary
forces
after
hybridization
remains
unresolved.
Here
we
used
whole-genome
resequencing
data
227
individuals
from
multiple
widespread
Populus
species
characterize
their
contemporary
patterns
quantify
genomic
signatures
past
introgression.
We
observe
a
high
frequency
confirm
that
ambiguous
in
fact
F1
hybrids.
Seven
were
identified,
which
experienced
different
demographic
histories
resulted
strikingly
varied
efficacy
selection
burdens
deleterious
mutations.
Frequent
has
been
found
pervasive
feature
throughout
speciation
these
species.
The
retained
introgressed
regions,
generally,
tend
contain
reduced
load
located
regions
recombination.
also
find
pairs
with
substantial
differences
effective
population
size,
inferred
have
undergone
selective
sweeps
at
greater
expected
frequencies
lower
suggesting
likely
higher
potential
provide
beneficial
variation
for
small
populations.
Our
results,
therefore,
illustrate
demography
recombination
interplayed
both
positive
negative
determining
hybridization.
Society and Business Review,
Год журнала:
2022,
Номер
17(4), С. 594 - 612
Опубликована: Апрель 5, 2022
Purpose
The
paper
aims
to
examine
the
climate
change-related
disclosure
patterns
of
listed
Indian
firms
and
its
impact
on
firm
performance.
Specifically,
it
strives
analyse
conformance
selected
with
recommendations
Task
Force
Climate-related
Financial
Disclosures
(TCFD)
established
by
Stability
Board
G20
nations.
Design/methodology/approach
study
conducts
content
analysis
annual
reports
and/or
sustainability
22
from
energy
sector
for
period
spanning
2018–2019
2019–2020
based
four-fold
TCFD,
namely,
governance,
strategy,
risk
management
target
metrics,
compute
overall
respective
climate-change
scores.
Further,
a
panel
data
regression
model
is
used
appraise
such
performance
firms.
Findings
findings
indicate
that
level
in
moderate.
results
establish
positive
relation
between
financial
indicating
can
witness
improved
disclosing
more
information
change.
Originality/value
This
first
context
evaluate
practices
TCFD’s
trace
association
shall
hence
be
relevance
policymakers
diverse
stakeholders.
Biological Conservation,
Год журнала:
2023,
Номер
278, С. 109883 - 109883
Опубликована: Янв. 4, 2023
The
conservation
of
biodiversity
from
the
genetic
to
community
levels
is
fundamental
for
continual
provision
ecosystem
services
(ES),
benefits
that
ecosystems
provide
people.
Genetic
and
genomic
diversity
enhance
resilience
populations
communities
underpin
functions
services.
We
show
genomics
applications
are
mostly
limited
flagship
species
their
ES
management
underachieved.
propose
a
framework
on
how
can
guide
sustainable
bridge
this
genomics-ES
'application
gap'.
review
knowledge
in
single
(relatedness,
potentially
adaptive
variants)
or
interacting
(host-microorganism
coevolution,
hybridization)
effective
actions.
These
include
population
supplementation,
assisted
migration
hybridization
promote
climate-adapted
variants
potential,
control
invasives,
delimitation
areas,
provenancing
strategies
restoration,
managing
microbial
function
solving
trade-offs.
Genomics-informed
actions
improved
outcomes
supported
through
synergies
between
scientists
managers
at
local,
regional
international
levels,
development
standardized
workflows,
training
incorporation
local
information.
Such
facilitate
implementation
policies
such
as
UN
2030
goals
EU
Biodiversity
strategy
2030,
support
inclusion
ambitious
new
CBD
post-2020
Global
Framework
hybrids.
New Phytologist,
Год журнала:
2020,
Номер
226(6), С. 1667 - 1681
Опубликована: Март 11, 2020
Summary
Phenology
is
an
important
indicator
of
environmental
variation
and
climate
change
impacts
on
tree
responses.
In
conifers,
monitoring
phenology
photosynthesis
through
remote
sensing
has
been
unreliable,
because
needle
foliage
varies
little
throughout
the
year.
This
challenging
for
modelling
ecosystem
carbon
uptake
enhanced
breeding
(genomic
selection)
forest
health.
Here,
we
demonstrate
that
drone‐based
carotenoid‐sensitive
spectral
indices,
such
as
Chl/carotenoid
index
(CCI),
can
be
used
to
track
in
conifers
by
taking
advantage
close
relationship
between
seasonally
changing
carotenoid
levels
photosynthetic
activity.
Physiological
ground
measurements,
including
pigments
maximum
quantum
yield
Chl
fluorescence,
indicated
CCI
tracked
activity
better
than
other
vegetation
indices
30
white
spruce
seedlings
measured
over
1
yr.
A
machine‐learning
approach,
using
derived
from
multispectral
imagery,
was
model
entire
pedigree
population
(6000
seedlings).
high‐throughput
phenotyping
approach
suitable
studying
physiological
status
thousands
field‐grown
at
unprecedented
speed
scale.
Frontiers in Genetics,
Год журнала:
2020,
Номер
11
Опубликована: Сен. 25, 2020
Molecular
evolution
offers
an
insightful
theory
to
interpret
the
genomic
consequences
of
thermal
adaptation
previous
events
climate
change
beyond
range
shifts.
However,
disentangling
often
mixed
footprints
selective
and
demographic
processes
from
those
due
lineage
sorting,
recombination
rate
variation
constrains
is
not
trivial.
Therefore,
here
we
condense
current
historical
population
tools
study
adaptation,
outline
key
developments
(genomic-prediction,
machine-learning)
that
might
assist
their
utilization
for
improving
forecasts
populations'
responses
variation.
We
start
by
summarizing
how
recent
thermal-driven
can
be
inferred
coalescent
methods,
in
turn
quantitative
genetic
suitable
multi-trait
predictions
over
a
few
generations
via
breeder's
equation.
later
assume
enough
have
passed
as
display
signatures
divergent
selection
variation,
describe
these
reconstructed
using
genome-wide
association
scans,
or
alternatively,
may
used
forward
prediction
multiple
under
infinitesimal
model.
Finally,
move
deeper
time
comprehend
shifts
at
evolutionary
scale
relying
on
phylogeographic
approaches
allow
reticulate
ecological
parapatric
speciation,
end
envisioning
potential
modern
machine
learning
techniques
better
inform
long-term
predictions.
conclude
foreseeing
future
adaptive
requires
bridging
spatial
scales
predictive
environmental
research
cohesive
such
frameworks.
Frontiers in Plant Science,
Год журнала:
2022,
Номер
13
Опубликована: Фев. 24, 2022
Understanding
the
genetic
basis
of
how
species
respond
to
changing
environments
is
essential
conservation
species.
However,
molecular
mechanisms
adaptation
remain
largely
unknown
for
long-lived
tree
which
always
have
large
population
sizes,
long
generation
time,
and
extensive
gene
flow.
Recent
advances
in
landscape
genomics
can
reveal
signals
adaptive
selection
linking
variations
characteristics
therefore
created
novel
insights
into
strategies.
In
this
review
article,
we
first
summarized
methods
used
elucidated
advantages
disadvantages
these
methods.
We
then
highlighted
newly
developed
method
“Risk
Non-adaptedness,”
predict
offset
or
genomic
vulnerability
via
allele
frequency
change
under
multiple
scenarios
climate
change.
Finally,
provided
prospects
concerning
our
introduced
approaches
assist
policymaking
improve
existing
strategies
ongoing
global
changes.