ABSTRACT:
Homosexuality is a common occurrence in humans and other species, yet its genetic and evolutionary basis
is poorly understood. Here, we formulate and study a series of simple mathematical models for the purpose
of predicting empirical patterns that can be used to determine the form of selection that leads to
polymorphism of genes influencing homosexuality. Specifically, we develop theory to make contrasting
predictions about the genetic characteristics of genes influencing homosexuality including: (i)
chromosomal location, (ii) dominance among segregating alleles and (iii) effect sizes that distinguish
between the two major models for their polymorphism: the overdominance and sexual antagonism models.
We conclude that the measurement of the genetic characteristics of quantitative trait loci (QTLs) found in
genomic screens for genes influencing homosexuality can be highly informative in resolving the form of
natural selection maintaining their polymorphism.
INTRODUCTION:
There are several reasons for the long-standing interest
among evolutionary biologists (e.g. Hutchinson 1959;
Wilson 1975; Hammer & Copeland 1994; McKnight
1997; Miller 2000) in explaining persistent, low levels of
human homosexuality. First, there is evidence that
homosexual males and females have lower lifetime offspring
production in some modern Western societies (up
to 80% lower; Bell et al. 1981), and that this may also have
been true in human ancestors (reviewed in Pillard & Bailey
1998). Second, there are two lines of evidence that
homosexuality is influenced by polymorphic genes: (i)
twin studies indicate that there are both genetic and
environmental factors that contribute to the expression
of the homosexual phenotype (Pillard & Bailey 1998;
Bailey et al. 1999; Dawood et al. 2000), and (ii) male
homosexuality appears to be inherited more frequently
from the matriline (Pillard et al. 1981, 1982; Pattatucci
1998; Camperio-Ciani et al. 2004), suggesting the
existence of polymorphic, heritable maternal effects and/
or polymorphic X-linked genes influencing male homosexuality.
Third, even if one assumes only a small fitness
cost to the expression of homosexuality, it appears to be
more common in both males and females than can be
plausibly explained by mutationselection balance
(Kinsey et al. 1948, 1953; Gebhard 1972; Diamond
1993; Sell et al. 1995).
Maternal effects may contribute to the homosexual
phenotype. For example, there is a curious relationship
between birth order and the incidence of male homosexuality.
Among sibs, the occurrence of male homosexuality is
positively correlated with the number of older brothers but
not the number of older sisters (Blanchard & Bogaert
1996; Blanchard & Klassen 1997; Blanchard 2004).
This birth-order effect may be a result of the different
social environment experienced by younger brothers, but
it may also reflect the progressive immunization of some
mothers to unspecified male-specific antigens with each
successive male foetus and the increasing effects of such
immunization on sexual differentiation of the brain with
each successive male foetus (Blanchard & Klassen 1997;
Blanchard 2004, but see Bearman 2005).
There have been a few attempts to localize the specific
genes that influence male homosexuality. The complex
nature of the occurrence of male homosexuality in human
pedigrees indicates that its inheritance is not a simple
Mendelian trait (Pillard et al. 1981; Camperio-Ciani et al.
2004), making the mapping of individual genes more
difficult. A quantitative trait locus (QTL) for homosexuality
(Xq28) has been localized to the X chromosome (Hamer
et al. 1993; Hu et al. 1995), but the methodology used in
these studieswas questioned later (McKnight 1997) and the
findings have been difficult to replicate (Bailey et al. 1999;
Rice et al. 1999). Recently, a genome-wide QTL screen for
male homosexuality (Mustanski et al. 2005) found three
nominally significant linkage peaks, indicating three
autosomal genes thatmay influencemale sexual orientation,
as well as limited support for the previously reported
X-linked QTL (Xq28). These initial results are only
preliminary and require confirmation from additional
genetic studies.
Two mechanisms for the maintenance of polymorphism
in genes that cause homosexuality have been
most frequently mentioned in evolutionary biology
literature: overdominance and frequency-dependent
selection via kin altruism. The former mechanism assumes
that genes inducing homosexuality provide superior
fitness in heterozygous conditions, for example, men heterozygous for a homosexual gene may have higher
success in attracting women and/or their sperm may have
a competitive advantage over that of other men (e.g.
Hutchinson 1959; Weinrich 1987; Kirsch & Weinrich
1991; MacIntyre & Estep 1993; Miller 2000). The kinaltruism
mechanism assumes that homosexuals assist their
close relatives, thereby increasing their own inclusive
fitness (Trivers 1974; Pillard & Bailey 1998). A third
mechanism, which was briefly mentioned by Hammer &
Copeland (1994; see also McKnight 1997; Pillard &
Bailey 1998) but that has never been rigorously explored
previously, is a sexually antagonistic selection (e.g. Rice
1984; Rice & Holland 1997; Arnqvist & Rowe 2005)
under which alleles that decrease fitness of one sex are
maintained in the population because they increase the
fitness of the other sex. The potential importance of this
mechanism is highlighted by recent data which indicate
that female maternal relatives of homosexuals (Camperio-
Ciani et al. 2004) or relatives of gay men for both maternal
and paternal lines (King et al. 2005) have increased
fecundity.
The topic of homosexuality has so far received only
very limited attention in theoretical evolutionary genetics
and we are aware of only two previous papers that have
attempted to model it. The first paper was by MacIntyre &
Estep (1993), who studied a model of overdominance.
The second paper was by Getz (1993), who assumed that
reduced mating success of homosexual men was compensated
by increased rearing success of females or increased
joint fecundity and cooperation of couples. Both these
papers studied the case of a single autosomal, diallelic
locus, and they concentrated on the conditions for
invasion of an allele promoting homosexuality.
Our goal is to formulate a series of simple mathematical
models for the purpose of predicting empirical patterns
that can be used to guide future genetic analysis of
homosexuality.We specifically wanted to generate testable
predictions that will provide a foundation for the
generation of empirical evidence for or against alternative
evolutionary hypotheses for the maintenance of polymorphic
genes that influence homosexuality. Accordingly,
we develop theory to make predictions about: (i) the
chromosomal location, (ii) the dominance among segregating
alleles and (iii) their effect sizes that are predicted by
two of the major models for the maintenance of
polymorphism: the overdominance and sexual antagonism.
Because homosexuality has previously received very
little attention in the context of sexually antagonistic
alleles, our main focus will be on this model, but we will
also extend the previous work on overdominance. Lastly,
our approach uses as a foundation extant simple models of
sexually antagonistic genes (Rice 1984) and of maternal
and parental selections (Gavrilets 1998; Spencer 2003;
Miller et al. 2006), which we extend to the context of
homosexuality. We will assume throughout that males are
the heterogametic sex, but all our results can be applied
reciprocally to the case of female heterogamety.
We do not attempt to analyse the altruism towards kin
model. Biological intuition suggests that for this
mechanism to work, the number of extra children
raised by heterosexual kin with the help of a homosexual
relative has to be larger than the number of children the
extended family lost owing to the homosexuality of the
relative. Because neither any existing data nor any
mathematical models known to us support its plausibility,
we consider it premature to include the kinaltruism
mechanism in our analysis.
(SOURCE:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1679896/pdf/rspb20063684.pdf )