The MIT Press eBooks,
Journal Year:
2023,
Volume and Issue:
unknown, P. 239 - 266
Published: June 27, 2023
This
chapter
considers
how
variation
in
mating
systems
affects
evolvability
populations
and
we
should
estimate
it.Most
models
considered
evolutionary
quantitative
ge
ne
tics
assume
random
identical
across
sexes.In
this
chapter,
discuss
some
ways
which
leads
to
a
violation
of
these
assumptions,
what
means
for
evolvability.We
focus
on
two
major
axes
system
variation:
outcrossing
rate
reproductive
success.We
pre
sent
population
tic
theory
specific
review
the
empirical
evidence
support
hypotheses
put
forth.
Annual Review of Ecology Evolution and Systematics,
Journal Year:
2022,
Volume and Issue:
53(1), P. 137 - 159
Published: July 25, 2022
There
is
a
widespread
view
that
the
process
of
adaptation
in
complex
systems
made
difficult
due
to
an
evolutionary
cost
complexity
reflected
lower
evolvability.
This
line
reasoning
suggests
organisms
must
have
special
properties
overcome
this
cost,
such
as
integration,
modularity,
and
robustness,
reduction
rate
evolution
variational
constraints
could
help
explain
why
might
not
respond
selection.
Here,
we
discuss
issues
arise
from
conviction
highlight
alternative
where
represents
opportunity
by
increasing
potential
population.
We
lack
evidence
supporting
influence
on
Empirical
data
patterns
contemporary
selection
are
critical
for
understanding
relationship.
American Journal of Botany,
Journal Year:
2022,
Volume and Issue:
109(11), P. 1906 - 1917
Published: Nov. 1, 2022
Abstract
Premise
Flower
phenotypes
evolve
to
attract
pollinators
and
ensure
efficient
pollen
transfer
from
the
bodies
of
or,
in
self‐compatible
bisexual
flowers,
between
anthers
stigmas.
If
functionally
interacting
traits
are
genetically
correlated,
response
selection
may
be
subject
genetic
constraints.
Genetic
constraints
can
assessed
by
quantifying
standing
variation
(multivariate)
phenotypic
asking
how
much
available
is
reduced
under
specific
assumptions
about
on
correlated
traits.
Methods
We
evaluated
multivariate
evolvability
potential
underlying
evolution
three‐dimensional
structure
Dalechampia
blossoms.
First,
we
used
data
a
greenhouse
crossing
design
estimate
G
matrix
for
representing
relative
positions
male
female
sexual
organs
(anthers
stigmas)
ask
distributed
space.
To
assess
evolutionary
importance
constraints,
related
across
space
divergence
population
species
same
directions.
Results
Evolvabilities
varied
substantially
phenotype
space,
suggesting
that
certain
or
trait
combinations
strong
constraint.
Traits
involved
flower‐pollinator
fit
autonomous
selfing
exhibited
considerable
independent
potential,
but
tended
occur
directions
associated
with
greater‐than‐average
evolvability.
Conclusions
These
results
consistent
hypothesis
hamper
joint
towards
optimum
self‐pollination
rates.
Molecular Ecology,
Journal Year:
2023,
Volume and Issue:
33(3)
Published: Dec. 8, 2023
Abstract
Evolution
of
phenotypic
plasticity
requires
genotype–environment
interaction.
The
discovery
two
large‐effect
loci
in
the
vgll3
and
six6
genomic
regions
associated
with
number
years
Atlantic
salmon
spend
feeding
at
sea
before
maturation
(sea
age),
provides
a
unique
opportunity
to
study
evolutionary
potential
plasticity.
Using
data
on
1246
caught
River
Surna
Norway,
we
show
that
variation
mean
age
among
(smolt
cohorts
2013–2018)
is
influenced
by
genotype
frequencies
as
well
interaction
effects
between
year.
Genotype–year
interactions
suggest
genotypes
may
differ
their
response
environmental
across
years,
implying
genetic
Our
results
also
imply
will
evolve
an
indirect
selection
due
shared
basis.
Furthermore,
demonstrate
differences
additive
dominance
functional
age,
suggesting
responses
vary
environments.
Considering
importance
maturity
for
survival
reproduction,
likely
play
important
role
local
adaptation
population
demography
salmon.
The MIT Press eBooks,
Journal Year:
2023,
Volume and Issue:
unknown, P. 11 - 34
Published: June 27, 2023
This
is
one
of
the
main
reasons
why
most
practicing
scientists
don't
end
up
working
on
things
that
are
fundamental:
Because
they
know
history
things.-Russ
Lande
chapter
addresses
origination
evolvability
research
with
aim
contributing
more
generally
to
reconstruction
and
explanation
recent
evolutionary
biology.I
combine
co-citation
analy
sis
first-person
reconstructions
field
obtained
from
a
series
interviews
biologists
who
were
and/or
currently
active
in
studies.After
preliminary
methodological
reflection,
I
pre
sent
multiple
origins
research.In
last
section
chapter,
make
use
cultural
evolution
theory
discuss
two
kinds
explanations
might
account
for
this
pattern:
"Selectionist"
highlight
aspects
intellectual
landscape
promoted
acceptability
diffusion
perspective;
"evolvability"
address
role
internal,
theoretical
developments
involved
diversification
research.Although
selectionist
have
been
largely
explored,
internal
factors
accounting
scientific
concepts
theories
remain
relatively
neglected.I
argue
explaining
perspective
provides
promising
insights
our
understanding
science
dynamics.
The MIT Press eBooks,
Journal Year:
2023,
Volume and Issue:
unknown, P. 239 - 266
Published: June 27, 2023
This
chapter
considers
how
variation
in
mating
systems
affects
evolvability
populations
and
we
should
estimate
it.Most
models
considered
evolutionary
quantitative
ge
ne
tics
assume
random
identical
across
sexes.In
this
chapter,
discuss
some
ways
which
leads
to
a
violation
of
these
assumptions,
what
means
for
evolvability.We
focus
on
two
major
axes
system
variation:
outcrossing
rate
reproductive
success.We
pre
sent
population
tic
theory
specific
review
the
empirical
evidence
support
hypotheses
put
forth.