Extend single-locus multilocus quantitative models
p2:2pq:q2
W0,W1,W2
Mendel's Laws & H-W Theorem
normal
distribution fitness
function
high heritability
Variation can be quantified
mean standard deviation:
variance: 2
Quantitative variation follows "normal
distribution" (bell-curve) iff [read:
"if and only if"]
Multiple loci
involved
Each
locus
contributes equally (variance is additive)
Each locus acts independently:
interaction variance ( σ2GxE )
minimal
Phenotypic variation has two
sources: genetic (σ2G)
& environmental (
phenotypic variance σ2P
= σ2G
+
additive variance σ2A
= σ2G
+
heritability
h2 = σ2G/ σ2A
= σ2G
/ (σ2G
+
"Heritability in the narrow sense": ignores GxE2 = interaction
variance:
Identical genotypes produce different phenotypes
in different environments.
Ex.: same breed of cows produces different milk
yield on different feed
Contra:
Norm of Reaction
for differential expression within
& between
environments
Artificial
breeding indicates that organismal variation
is highly heritable
ex.:
Darwin's pigeon breeding
experiments
Artificial
selection on agricultural species
Commercially
useful
traits
improved by selective breeding
IQ scores in Homo:
h2 ~ 0.7
But: IQ scores improve with education:
Offspring / Mid-parent correlation
Fitness
function expresses relationship between
genotype & fitness
Function is a continuous
variable, rather than discrete values for W0,
W1, & W2
=> Most traits variable &
heritable
Many traits do
respond to 'artificial'
selection (h2 = 0.5 ~ 0.9)
Many traits should
respond to 'natural'
selection
=> To demonstrate &
measure Natural Selection,
Show experimentally that heritable
variation has consequences for fitness
<=
Quantitative traits can be described as a bell curve with a mean & variance
What
happens
to
this
distribution under Selection?
(1) Directional Selection
Fitness function has constant slope:
Trait
mean shifted towards favored phenotype
trait variance unaffected
In
single-locus models, limit of selection is
Elimination
of variation by fixation of favored allele
In quantitative
models, rate limited by
substitutional genetic load:
Fitness "cost"
(lost reproductive potential) to replace disadvantageous
allele
"Soft" selection
Mortality density-dependent
In 'real' populations N(after)
~ N(before)
Survivorship proportional to fitness up to K: more
realistic
Selection affects recruitment to next generation
Ex.: Deaths from malaria are "replaced"
More births such that N continually "topped up"
to K
Gecko lizards (Aristelliger) have "suction pad"
feet:
lamellar scale counts
increase with age
Darwin's Finch (Geospiza fortis) adapts to drought:
larger birds survive because of changes in seed size & hardness
Developmental canalization
limits extent of directional selection
Systems
are
controlled
by
multiple epistatic loci:
difficult to select on all loci simultaneously
Organisms have mechanical limits:
size cannot increase indefinitely
Johanssen bean
experiment exhausted genetic variation within
lineage
But: Eozostrodon-like
Triassic mammal evolved into whales & bats between lineages
(2) Stabilizing
Selection (AKA truncation selection)
Fitness
function
has "peak"
Trait variance reduced around (existing) trait mean:
optimal phenotype,
Limits: elimination of variant alleles
or, 'weeding out' of disadvantageous variants
homozygosity at multiple loci:
difficult iff variance due to recessive alleles
inbreeding depression: loss
of 'somatic vigor' in inbred lines
Examples:
Cold shock in House Sparrows
(Passer) [Bumpus 1898]
Animals
that
die
occur in extreme tails of distribution
Birth weight in Homo
Modal
birth weight has optimum survival
Implications for future human
evolution ?
(3) Diversifying
Selection (two kinds)
There
is a lot of variation: does selection explain it?
(A) Balancing Selection:
Fitness function has more than one peak (multi-modal)
Trait
variance
increases
polymorphic: variation
maintained within populations
Ex.: corn
snakes, tomatoes, bell peppers, snails
polytypic: variation
distributed among populations
Ex.: Clinal
variation in Cepaea snails
patterns
of banded / unbanded shells vary over short distances
Limits:
segregational genetic load:
Fitness "cost"
(loss of reproductive potential) due to production of less
fit homozygotes
Overdominance: heterozygotes
have superior fitness
because
different
alleles
favoured
in different environments
Examples:
sickle-cell hemoglobin in Homo ('Contradictory'
selection)
Leucine Aminopeptidase (LAP) & salinity
tolerance in Mytilus mussels
heterodimers:
multimeric
enzymes
with
polypeptides
from different alleles
often
show
wider
substrate
specificity, kinetic properties (Vmax & KM)
myoglobin in
diving mammals
Heterosis: heterozygosity at
multiple loci correlated with general fitness
Ex.: correlation between phenotype
& He: antler points in Odocoileus
deer
Hybrid vigor: crossbreeding of inbred
lines improves fitness in F1
Maintaining polymorphic phenotypes by selection
Alternative phenotypes favored in different environments
Batesian mimicry:
'Tasty' mimics converge on 'distasteful'
models
Viceroy
butterflies
(Limenitis) converge on
Monarch (Papilio) butterflies
Müllerian mimicry:
Distasteful models converge on each other,
different combinations evolve in different
parts of range
Heliconius
butterflies [S&R 2.20]
Mertensian mimicry:
aposematic
(warning) colouration discourages predators
Ex.: non-venomous scarlet king snakes mimic
venomous coral snakes with black / red / yellow
pattern
Frequency-dependent selection:
Fitness
value
of
phenotype
varies with frequency
apostatic predation: thrush
predation on Cepaea
'search image' changes when prey type becomes rare
'rare male' effect:
females prefer "different" male
Male
zebra
finches
with
artificial crest
get more copulations
Sexual Selection (Darwin 1871):
'exaggerated' ornamentation disadvantageous somatically
but
favoured
in
competition for mates [S&R 4.17]
Sexual dimorphism in birds
& mammals
Antlers in Cervidae used in male-male combat
Runaway sexual selection
Females
choose
males
on
basis of secondary ornamentation
Offspring have exaggerated trait (males) & preference
for trait (females)
selection reinforces trait &
preference for trait simultaneously
New phenotype spreads
rapidly in population
(B) Disruptive
selection
Fitness function is a valley
Trait
variance
increases
(like
balancing), BUT polymorphism is unstable
Polymorphism can usually be maintained only temporarily:
One
of
the
phenotypes
will out-compete the other
unless different phenotypes choose different niches (Ludwig
Effect)
[and then this becomes Balancing Selection]
Scutellar
bristles in Drosophila
Selection for 'high #' versus 'low #' lines
=> 'pseudo-populations'
with reduced inter-fertility
Might
disruptive
selection
contribute
to speciation?
Natural selection is ordinarily
defined as
differential
survival & reproduction of individuals:
Can
selection operate on other biological units?
Can
such selection 'oppose' individual selection?
Genic
(Gametic) Selection
Differential survival &
'reproduction' of alleles
Meiotic Drive: t-alleles
in Mus
tt is sterile (W = 0)
Tt is 'tail-less' (cf. Manx cats) (W
< 1)
t alleles preferentially segregated into
gametes (80~90%)
=> f(t) is high in natural populations (40~70%)
even
though
it
is
deleterious to individuals
Kin
(Interdemic) Selection
Differential survival & reproduction
of related (kin) groups (families)
Related
individuals share alleles: r =
coefficient of relationship [derivation]
offspring
&
parents
are
related by r = 0.50 [They
share half their alleles]
full-sibs
"
"
r = 0.50
half-sibs
"
"
r = 0.25
first-cousins
"
"
r = 0.125
Inclusive fitness (Wi) of
phenotype for individual i
= direct fitness of i + indirect
fitness of relatives j,k,l,...
Wi = ai + (rij)(bij) summed over all relatives j,k,l,...
where: ai = fitness of i
due to own phenotype
bij = fitness of j
due to i's phenotype
rij =
coefficient of relationship of i &
j
If i & j are unrelated
warn: Windividual
= 0.0 + (0.0)(1.0) = 0.0
don't warn: Windividual = 1.0 + (0.0)(0.0) = 1.0
Such behaviors should not
evolve among unrelated individuals
What
is
the
fitness
value in a kin group?
Wbrothers = 0.0
+ [(0.5)(1.0) + (0.5)(1.0)] = 1.0
Wcousins = 0.0 +
[8][(0.125)(1.0)] = 1.0
Such behaviors can evolve among related
individuals in (extended) family groups
JBS Haldane (1892-1964):
"I would lay down my life for two
brothers or eight cousins."
Parenting behaviour:
'Broken wing'
display in mother birds
Mother sacrifices herself for
(at least two) offspring
Altruistic behaviour ( "unselfish concern for
others")
Alarm
calls in ground squirrels (Spermophilus)
females
warn
more
in
related groups
Can
behaviour
to
help
unrelated individuals evolve?
Eusocial insects
(Hymenoptera, Isoptera)
Haplodiploidy: females diploid, male drones
haploid
Females
workers
are
sterile
(Wi = 0): what selective advantage?
related
to
queen
or
offspring by 1/2
related to sisters by 3/4
Care for sisters, don't have offspring
Natural Selection may be the most
misunderstood concept in biology.
It is ...
(1) Not "Survival of the Fittest"
H Spencer (1820 - 1903) & others
invent "Social Darwinism"
"naturalistic fallacy": 'is'
= 'ought'
Darwinian theory accepted in part because
it
could
be
read
to support British imperial ambition
not
phenotype-specific mortality
not predation (nor inter-species
competition, usually)
not
"Nature red in tooth and claw"
Darwin:
plants in desert 'struggle' for water
not
equivalent to population growth:
Ex.: population N declined in semelparous
example
(2) Not equivalent to evolution
Natural Selection may conserve existing types (stabilizing
selection).
Evolutionary change ultimately requires new variation (mutation).
Migration, population structure, genetic drift important.
(3) Not a tautology (a self-evident statement; a circular argument)
"Why
do
they
survive?
Because they're fit.
How
do
you
know
they're fit? Because they survive..."etc.
Darwin phrased syllogism
(an if / then statement; a logical consequence):
(2
& W & h2)
=> q
cf. physics: F = M A depending on how
Force, Mass, & Acceleration defined
arithmetic: 1 + 2 = 3 because I and
II make III
(4) Not "Mother Nature"
not
a force, not thing that acts
[We don't say, "Arithmetic causes one plus two to equal three."
We might say, "One plus two equals three. That's arithmetic.]
not
good or bad (amoral)
no
noun / verb / object distinctions
In SVO languages, "nouns verb objects"
i.e., objects act on other objects. Not.
(5) Not teleological (goal-directed):
Evolution does not have "goal",
"direction", or
"purpose"
Homo sapiens are not the endpoint of evolution!
Avoid
such phrases as "Natural Selection acts ..."
"in order to ...",
"for
the
purpose
of
...",
"so that ...",
"because
its
trying
to
..."
Text material © 2020 by Steven M. Carr