Molecular Ecology,
Journal Year:
2021,
Volume and Issue:
31(4), P. 1093 - 1110
Published: Dec. 7, 2021
Understanding
how
eco-evolutionary
processes
and
environmental
factors
drive
population
differentiation
adaptation
are
key
challenges
in
evolutionary
biology
of
relevance
for
biodiversity
protection.
Differentiation
requires
at
least
partial
reproductive
separation,
which
may
result
from
different
modes
isolation
such
as
geographic
(allopatry)
or
by
distance
(IBD),
resistance
(IBR),
environment
(IBE).
Despite
that
multiple
might
jointly
influence
differentiation,
studies
compare
the
relative
contributions
scarce.
Using
RADseq,
we
analyse
neutral
adaptive
genetic
diversity
structure
11
pike
(Esox
lucius)
populations
contrasting
environments
along
a
latitudinal
gradient
(54.9-63.6°N),
to
investigate
effects
IBD,
IBE
IBR,
assess
whether
differ
between
variation,
across
structural
levels.
Patterns
variation
differed,
probably
reflecting
they
have
been
differently
affected
stochastic
deterministic
processes.
The
importance
differed
diversity,
yet
were
consistent
Neutral
was
influenced
interactions
among
all
three
isolation,
with
IBR
(seascape
features)
playing
central
role,
wheares
mainly
(environmental
conditions).
Taken
together,
this
previous
suggest
it
is
common
interactively
shape
patterns
their
systems.
To
enable
identification
general
understand
various
contributions,
important
several
simultaneously
investigated
additional
populations,
species
settings.
Methods in Ecology and Evolution,
Journal Year:
2021,
Volume and Issue:
12(12), P. 2298 - 2309
Published: Sept. 20, 2021
Abstract
Landscape
genomics
identifies
how
spatial
and
environmental
factors
structure
the
amount
distribution
of
genetic
variation
among
populations.
genomic
analyses
have
been
applied
across
diverse
taxonomic
groups
ecological
settings,
are
increasingly
used
to
analyse
datasets
composed
large
numbers
markers
multiple
predictors.
It
is
in
this
context
that
multivariate
methods
show
their
strengths.
Redundancy
analysis
(RDA)
a
constrained
ordination
that,
landscape
framework,
models
linear
relationships
environment
predictors
variation,
effectively
identifying
covarying
allele
frequencies
associated
with
environment.
RDA
can
be
at
both
individual
population
levels,
include
covariates
account
for
confounding
directly
infer
genotype–environment
associations
on
landscape.
The
modelling
response
explanatory
variables
allows
accommodate
complexity
found
nature,
producing
powerful
efficient
tool
genomics.
In
review,
we
outline
uses
genomics,
including
variable
selection,
variance
partitioning,
associations,
calculation
adaptive
indices
offset.
To
illustrate
these
applications,
use
published
dataset
lodgepole
pine
includes
genomic,
phenotypic
data.
We
provide
an
introduction
statistical
basis
RDA,
tutorial
its
interpretation
discuss
limitations
guidelines
avoid
misuse.
This
review
comprehensive
resource
community
improve
understanding
as
encourage
appropriate
applications.
truly
Swiss
Army
Knife
genomics:
multipurpose,
adaptable
versatile
approach
identifying,
evaluating
forecasting
between
variation.
Molecular Ecology,
Journal Year:
2020,
Volume and Issue:
29(24), P. 4765 - 4782
Published: Aug. 17, 2020
Abstract
Copy
number
variants
(CNVs)
are
a
major
component
of
genotypic
and
phenotypic
variation
in
genomes.
To
date,
our
knowledge
evolution
has
largely
been
acquired
by
means
single
nucleotide
polymorphism
(SNPs)
analyses.
Until
recently,
the
adaptive
role
structural
(SVs)
particularly
that
CNVs
overlooked
wild
populations,
partly
due
to
their
challenging
identification.
Here,
we
document
usefulness
Rapture,
derived
reduced‐representation
shotgun
sequencing
approach,
detect
investigate
copy
alongside
SNPs
American
lobster
(
Homarus
americanus
)
populations.
We
conducted
comparative
study
examine
potential
local
adaptation
1,141
lobsters
from
21
sampling
sites
within
southern
Gulf
St.
Lawrence,
which
experiences
highest
yearly
thermal
variance
Canadian
marine
coastal
waters.
Our
results
demonstrated
account
for
higher
genetic
differentiation
than
SNP
markers.
Contrary
SNPs,
no
significant
genetic–environment
association
was
found,
48
CNV
candidates
were
significantly
associated
with
annual
sea
surface
temperature,
leading
clustering
locations
despite
geographic
separation.
Altogether,
provide
strong
empirical
case
putatively
contribute
species
unveil
stronger
spatial
signal
population
structure
SNPs.
provides
nonmodel
highlights
importance
considering
enhance
understanding
ecological
evolutionary
processes
shaping
structure.
Conservation Biology,
Journal Year:
2020,
Volume and Issue:
35(3), P. 909 - 920
Published: Aug. 12, 2020
Abstract
The
availability
of
genomic
data
for
an
increasing
number
species
makes
it
possible
to
incorporate
evolutionary
processes
into
conservation
plans.
Recent
studies
show
how
genetic
can
inform
spatial
prioritization
(SCP),
but
they
focus
on
metrics
diversity
and
distinctness
derived
primarily
from
neutral
sets.
Identifying
adaptive
markers
provide
important
information
regarding
the
capacity
populations
adapt
environmental
change.
Yet,
effect
including
based
SCP
in
comparison
more
widely
used
has
not
been
explored.
We
existing
a
commercially
exploited
species,
giant
California
sea
cucumber
(
Parastichopus
californicus
),
perform
coastal
region
British
Columbia
(BC),
Canada.
Using
RAD‐seq
set
717
P.
individuals
across
24
sampling
locations,
we
identified
putatively
(i.e.,
candidate)
single
nucleotide
polymorphisms
(SNPs)
genotype–environment
associations
with
seafloor
temperature.
calculated
various
both
candidate
SNPs
compared
outcomes
independent
combinations
metrics.
Priority
areas
varied
depending
whether
or
were
specific
metric
used.
For
example,
targeting
sites
high
frequency
warm‐temperature‐associated
alleles
support
persistence
under
future
warming
prioritized
southern
region.
In
contrast,
expected
heterozygosity
at
loci
uncertainty
north.
When
combining
metrics,
all
scenarios
generated
intermediate
solutions,
protecting
that
span
latitudinal
thermal
gradients.
Our
results
demonstrate
distinguishing
between
affect
solutions
emphasize
importance
defining
objectives
when
choosing
among
SCP.
Evolutionary Applications,
Journal Year:
2024,
Volume and Issue:
17(3)
Published: March 1, 2024
Abstract
Characterizing
patterns
of
genetic
connectivity
in
marine
species
is
critical
importance
given
the
anthropogenic
pressures
placed
on
environment.
For
sessile
species,
population
can
be
shaped
by
many
processes,
such
as
pelagic
larval
duration,
oceanographic
boundaries
and
currents.
This
study
combines
restriction‐site
associated
DNA
sequencing
(RADseq)
passive
particle
dispersal
modelling
to
delineate
pink
sea
fan,
Eunicella
verrucosa
,
a
temperate
octocoral.
Individuals
were
sampled
from
20
sites
covering
most
species'
northeast
Atlantic
range,
site
northwest
Mediterranean
Sea
inform
across
Atlantic‐Mediterranean
transition.
Using
7510
neutral
SNPs,
geographic
cline
clusters
was
detected,
partitioning
into
Ireland,
Britain,
France,
Spain
(Atlantic),
Portugal
(Mediterranean).
Evidence
significant
inbreeding
detected
at
all
sites,
finding
not
previous
this
based
microsatellite
loci.
Genetic
characterized
an
isolation
distance
pattern
(IBD)
(
r
2
=
0.78,
p
<
0.001),
which
persisted
Mediterranean‐Atlantic
boundary.
In
contrast,
exploration
ancestral
assignment
using
program
ADMIXTURE
indicated
Bay
Biscay,
we
suggest
represents
natural
break
possibly
linked
lack
suitable
habitat.
As
duration
(PLD)
unknown,
simulations
run
for
14
21
days.
both
modelled
PLDs,
inter‐annual
variations
trajectories
suggested
that
long‐lived,
range‐wide
IBD
driven
rare,
longer
events
act
maintain
gene
flow.
These
results
may
facilitate
stepping‐stone
E.
highlight
oceanography
breaks
range
should
considered
designation
ecologically
coherent
MPA
networks.
Evolutionary Applications,
Journal Year:
2018,
Volume and Issue:
12(3), P. 587 - 609
Published: Nov. 28, 2018
Interactions
between
environmental
factors
and
complex
life-history
characteristics
of
marine
organisms
produce
the
genetic
diversity
structure
observed
within
species.
Our
main
goal
was
to
test
for
differentiation
among
eastern
oyster
populations
from
coastal
region
Canadian
Maritimes
against
expected
homogeneity
caused
by
historical
events,
taking
into
account
spatial
(temperature,
salinity,
turbidity)
variation.
This
achieved
genotyping
486
individuals
originating
13
locations
using
RADSeq.
A
total
11,321
filtered
SNPs
were
used
in
a
combination
population
genomics
association
analyses.
We
revealed
significant
neutral
(mean
FST
=
0.009)
sampling
locations,
occurrence
six
major
clusters
studied
system.
Redundancy
analyses
(RDAs)
that
variables
explained
3.1%
4.9%
variation
38.6%
12.2%
putatively
adaptive
variation,
respectively.
These
results
indicate
these
play
role
distribution
both
Moreover,
polygenic
selection
suggested
genotype-environment
analysis
correlations
additive
scores
temperature
salinity.
discuss
our
context
their
conservation
management
implications
oyster.
Molecular Ecology,
Journal Year:
2018,
Volume and Issue:
27(24), P. 5035 - 5048
Published: Nov. 14, 2018
Abstract
Understanding
the
spatial
scale
of
local
adaptation
and
factors
associated
with
adaptive
diversity
are
important
objectives
for
ecology
evolutionary
biology,
have
significant
implications
effective
conservation
management
wild
populations
natural
resources.
In
this
study,
we
used
an
environmental
association
analysis
to
identify
bioclimatic
variables
correlated
putatively
genetic
variation
in
a
benthic
marine
invertebrate—the
giant
California
sea
cucumber
(
Parastichopus
californicus
)—spanning
coastal
British
Columbia
southeastern
Alaska.
We
redundancy
(RDA)
3,699
single
nucleotide
polymorphisms
(SNPs)
obtained
using
RAD
sequencing
detect
candidate
markers
11
variables,
including
bottom
surface
conditions,
across
two
scales
(entire
study
area
within
subregions).
At
broadest
scale,
RDA
revealed
59
SNPs,
86%
which
were
mean
temperature.
Similar
patterns
identified
when
population
structure
was
accounted
for.
Additive
polygenic
scores,
provide
measure
cumulative
signal
all
strongly
temperature,
consistent
spatially
varying
selection
thermal
gradient.
finer
23
SNPs
detected,
primarily
salinity
(26%)
current
velocity
(17%).
Our
findings
suggest
that
may
play
role
as
drivers
P.
.
These
results
context
future
studies
evaluate
basis
help
inform
relevant
situ
field
putative
invertebrates.
Evolutionary Applications,
Journal Year:
2019,
Volume and Issue:
13(5), P. 945 - 959
Published: Dec. 23, 2019
Populations
may
respond
to
environmental
heterogeneity
via
evolutionary
divergence
or
phenotypic
plasticity.
While
occurs
through
DNA
sequence
differences
among
populations,
plastic
populations
be
generated
by
changes
in
the
epigenome.
Here,
we
present
results
of
a
genome-wide
comparison
methylation
patterns
and
genetic
structure
four
Eastern
oyster
(
Proceedings of the Royal Society B Biological Sciences,
Journal Year:
2020,
Volume and Issue:
287(1926)
Published: May 6, 2020
Ocean
circulation
driving
macro-algal
rafting
is
believed
to
serve
as
an
important
mode
of
dispersal
for
many
marine
organisms,
leading
predictions
on
population-level
genetic
connectivity
and
the
directionality
effective
dispersal.
Here,
we
use
genome-wide
single
nucleotide
polymorphism
data
investigate
whether
gene
flow
in
two
seahorses
(
Hippocampus
)
three
pipefishes
Syngnathus
follows
predominant
ocean
patterns
Gulf
Mexico
northwestern
Atlantic.
In
addition,
explore
magnitudes
are
predicted
by
traits
related
active
ability
habitat
preference.
We
inferred
demographic
histories
these
co-distributed
syngnathid
species,
coalescent
model-based
estimates
indicate
that
agreement
with
predicts
eastward
northward
transport.
However,
magnitude
which
currents
influence
this
pattern
appears
strongly
dependent
species-specific
propensity
preferences.
Higher
levels
stronger
observed
erectus
,
floridae
louisianae
closely
associated
pelagic
macro-algae
Sargassum
spp.,
compared
zosterae
scovelli
/
fuscus
sister-species
pair,
prefer
near
shore
habitats
weakly
.
This
study
highlights
how
combination
population
genomic
inference
together
can
help
explain
structure
diversity
ecosystems.