Abstract
Mounting evidence suggests that nongenetic paternal effects on offspring may be widespread among animal taxa, but the mechanisms underlying this form of nongenetic inheritance are not yet fully understood. Here, we show that seminal fluids underlie paternal effects on early offspring survival in an insect, the cricket Teleogryllus oceanicus, and quantify the contribution of this paternal effect to the inheritance of this important fitness trait. We used castrated males within a full‐sib half‐sib experimental design to show that seminal fluid donors were responsible for variation in the survival of developing embryos to hatching, and in their subsequent survival to adulthood. Increased expression of two seminal fluid protein genes, previously found to be positively associated with sperm quality, was found to be negatively associated with embryo survival. These nongenetic paternal effects hold important implications for the evolution of adaptive maternal responses to sperm competition, and more broadly for the interpretation of sire effects from classic quantitative genetic breeding designs.
Keywords: Ejaculates, embryo viability, heritability, sperm competition, Teleogryllus oceanicus
Impact Summary.
The resemblance of offspring to their parents is generally attributed to the contribution of genes packaged in sperm and eggs. However, there is increasing evidence that the environment experienced by parents can also influence the behavior, morphology, and physiology of their offspring. The mechanisms underlying these nongenetic effects are slowly being uncovered. In this study, we asked whether the seminal fluid in ejaculates could affect the survival and performance of offspring. We allowed female crickets to mate with both a normal sperm donating male and a castrated male that transferred only seminal fluid. We found that seminal fluid donors had a strong and significant effect on the survival of offspring but not on adult offspring size or reproductive capacity. The nongenetic paternal effect of seminal fluid donors on offspring survival was sufficient to account for previous estimates of genetic variance in this important fitness trait. Paternal effects have important implications for our understanding of evolutionary processes. Our findings cast doubt on traditional breeding designs aimed at estimating the genetic effects of fathers on offspring, and challenge our views on the nature of inheritance.
Although the adaptive significance of maternal effects have been the subject of considerable research effort (Mousseau and Fox 1998), the potential for paternal effects to influence offspring phenotype was thought to be limited only to species with paternal care (Hunt and Simmons 2000; Stein and Bell 2014). Mounting evidence now points to paternal effects being taxonomically widespread, and to occur through mechanisms other than direct interactions between fathers and their offspring (Curley et al. 2011; Crean and Bonduriansky 2014; Evans et al. 2017). For example, in vertebrates and invertebrates alike, paternal infection can result in transgenerational upregulation of immune function in offspring (McNamara et al. 2014), or in their ability to tolerate parasitic infections (Kaufmann et al. 2014). In rats, exposure of males to endocrine disruptors during their early development can have significant effects on a variety of physiological pathologies, including male fertility, that are observable in their descendants for as many as four generations (Anyway et al. 2005), whereas in humans, paternal obesity, smoking, and alcohol exposure have all been linked to the health of future offspring and grand‐offspring (Soubry et al. 2014). Such transgenerational effects of the paternal environment, or nongenetic inheritance, challenge our views on the very nature of inheritance (Bonduriansky 2012).
There is growing evidence that nongenetic paternal effects on offspring can be mediated by the ejaculate (Evans et al. 2019). The ejaculate consists of both sperm and seminal fluid fractions, both of which can affect offspring phenotype by mechanisms that are independent of the DNA carried in the sperm nucleus. For example, work with house mice has provided evidence that RNAs packaged within sperm can be responsible for transgenerational inheritance of behavioral and metabolic responses to variation in the paternal environment (Gapp et al. 2014; Bohacek and Mansuy 2015; Benito et al. 2018). Studies of rodents have shown that seminal fluid deficiency can affect the growth and health of adult offspring, either directly through the effect of seminal fluid on the integrity of sperm DNA (O et al. 1988) or indirectly through its effects on maternal reproductive tract physiology (Bromfield et al. 2014). Seminal fluid composition can be strongly affected by a male's environment. In molluscs, insects and house mice, a male's social environment generates variation in the protein composition of the seminal fluid; specifically, males will modulate the production of seminal fluid proteins in the ejaculate that contribute to competitive fertilization success when they are exposed to rivals (Ramm et al. 2015; Simmons and Lovegrove 2017; Sloan et al. 2018; Nakadera et al. 2019). Seminal fluid composition can also vary with male age (Simmons et al. 2014) and nutritional status (Binder et al. 2015). Variation in seminal fluid composition may thereby represent an important mechanism by which environmental effects on fathers can be transmitted to their offspring (Crean et al. 2016; Watkins et al. 2018). Indeed, work on insects suggests that seminal fluid may contribute to nongenetic paternal effects on early life survival, adult body condition, and reproductive success (Bonduriansky and Head 2007; García‐González and Simmons 2007; Priest et al. 2008; Crean et al. 2014; Polak et al. 2017; Pascoal et al. 2018).
Nongenetic paternal effects hold significant evolutionary implications. Evolutionary responses to selection depend largely on the levels of genetic variation and the intensity of selection imposed. Quantitative genetic analyses have been widely adopted to estimate the levels of genetic variation in phenotypic traits, by statistically modeling the covariation in phenotypic traits among relatives with the assumption that variation among sires corresponds to additive genetic variation. However, if fathers can contribute to their offspring by mechanisms other than the direct effect of genes, then these paternal effects will inflate estimates of additive genetic variance. Although recent discussions have recognized the necessity to consider nongenetic paternal effects in estimating paternal genetic effects (Banta and Richards 2018), the magnitude of the potential problem has not yet been examined formally (Evans et al. 2019).
We have good evidence to suggest that paternal effects may be an important mechanism of nongenetic inheritance in the cricket Teleogryllus oceanicus. Quantitative genetic studies found that the survival of developing embryos to successful hatching exhibited significant among‐sire variance, suggestive of additive genetic variance for early life fitness (García‐González and Simmons 2005a). However, the sire effect on embryo survival was found to be genetically correlated with male investment into reproductive accessory glands, implicating seminal fluid proteins as a potential mechanism mediating paternal effects on this important fitness trait. Indeed, subsequent work confirmed that the paternal effect on embryo survival must have a nongenetic component because when a female mates with two males, a male that imparts high survival to his own offspring also imparts high survival to the offspring sired by his sperm competitor (García‐González and Simmons 2007). Moreover, unlike the case for social insects where seminal fluids are purported to have negative impacts on rival sperm (den Boer et al. 2010), in T. oceanicus seminal fluids increase the viability of own and rival sperm (Simmons and Beveridge 2011). Here, using castrated males within a quantitative genetic breeding design, we formally quantified the magnitude of seminal fluid‐derived paternal effects on offspring, and identified two seminal fluid proteins that might contribute to this paternal effect.
Females (dams) in our breeding design received seminal fluid from a castrated outbred male seminal fluid donor (sfd) and a complete ejaculate (sperm and seminal fluid) from a highly inbred isofemale line genetic sire. Any variation in offspring phenotypes due to sfds can be ascribed to nongenetic seminal fluid effects because these donors did not transfer sperm. Any variation due to dams would include maternal and paternal genetic and environmental effects. The maternal and paternal genetic effects were minimized in our breeding design by using dams and sires from a single highly inbred isofemale line.
Methods
CASTRATED SEMINAL FLUID DONORS
Seminal fluid donors used in these experiments were the first generation offspring of females collected from a tropical fruit plantation in Carnarvon, Western Australia. Crickets were reared en masse until the final nymphal instar at which time they were isolated into individual containers (7 cm × 7 cm × 5 cm) and supplied with cat chow and water ad libitum. Crickets were checked daily for adult emergence.
On the day of adult emergence, the males were castrated. Crickets were housed at 4°C for 30 minutes and then at –20°C for 2 minutes after which each cricket was placed under a dissecting microscope. With the wings held aside with dissection pins, an incision was made in the dorsal cuticle between the second and third abdominal segments using fine scissors. Each testis was removed with forceps and the wound closed with ethyl cyanoacrylate (Loher and Edson 1973; Larson et al. 2012). Following surgery, crickets were placed back in their individual containers. All crickets were held in a constant temperature room maintained at 26°C on a 12:12 light–dark cycle. Males were used in experiments 14 days after adult emergence.
Thirteen days after surgery, males to be used the following day were mated to a random female from the stock population to ensure they were capable of mating. Once mating had occurred, the spermatophore was collected from the female and its contents evacuated into 20 µL phosphate buffered saline (PBS, Astral Scientific, Taren Point, NSW, Australia) on a microscope slide. A coverslip was placed on to the slide and the contents viewed under a microscope to ascertain whether any sperm were present. The majority of spermatophores were found to be azoospermic. However, on the rare occasion where sperm were detected, these males were discarded. A total of 74 azoospermic males were used as seminal fluid donors.
ISOFEMALE LINE
To minimize genetic variation among females and fertile males, we created a single isofemale line following a full‐sib mating protocol. One newly emerged adult male and one newly emerged virgin female were taken from the stock culture and housed in a 5‐L container provided with egg carton for substrate, and cat chow and water ad libitum. A moist pad of cotton wool was provided as an oviposition substrate. Eggs were collected after 7 days and nymphs collected as they began to hatch, 14 days after eggs were laid. Full siblings were reared en masse in a 50‐L container, provided with egg carton for substrate, and cat chow and water ad libitum. When crickets started to emerge as adults, a single brother–sister pair was isolated in a 5‐L container and left to mate and lay eggs. The offspring from this pair were reared en masse as per the previous generation. The isofemale line was thus bred via single brother–sister pairing for a total of seven generations, after which the intensity of inbreeding was relaxed. From generation 8 onward, when adult crickets emerged they were left to interact en masse in their 50‐L container and eggs were collected from the group to source subsequent generations.
Crickets for this experiment were sourced from generation 15 of the isofemale line. Male and female crickets were taken at the final nymphal stage. Males were housed in individual containers (7 cm × 7 cm × 5 cm) supplied with cat chow and water ad libitum. Females were housed in groups of 20–30 in 5‐L containers. The day before males were to be used in experiments, they were provided with a virgin female sourced from the stock to ensure they were capable of mating. Crickets were used in experiments 14 days after adult emergence.
BREEDING DESIGN
Seventy‐four castrated seminal fluid donors (sfd) were each assigned two females from the isofemale line and allowed to mate with both females twice. All matings were observed to ensure the spermatophores remained attached for 60 minutes, the time required for complete transfer of the ejaculate (Simmons et al. 2003). After mating, sfds were frozen at –20°C. Each female was then allocated a brother from the isofemale line and allowed to mate twice, again ensuring that spermatophores remained attached for 60 minutes to allow for complete insemination. Thus, each female received sperm and seminal fluid from a highly inbred full sibling male and seminal fluid from an outbred first generation field‐derived seminal fluid donor.
EMBRYO SURVIVAL
After mating, females were housed in individual containers provided with a dish of moist sand as an oviposition substrate, and left for 7 days. Eggs were then separated from the sand with water. Fertilization rates exceed 90% and eggs begin to develop within 2 days of laying, evidenced by a 2‐ to 3‐fold increase in volume (Simmons 2001; García‐González and Simmons 2007). Eye spots appear after 7–10 days of development and embryos hatch after 14–19 days. Embryo mortality occurs predominantly between the eye‐spot and hatching stage (Simmons 2001; García‐González and Simmons 2007). By collected eggs after seven days of laying, we were able to sample only eggs that contained developing embryos. Two sets of 50 developing eggs were each placed on damp cotton wool in separate containers. Any remaining eggs were placed en masse in a third container and the eggs incubated at 26°C. Boxes containing 50 developing eggs were checked daily for hatchlings, which were counted and removed each day until no further offspring emerged. Emerged offspring were combined with those that had emerged from the uncounted eggs and these were raised to adulthood. To estimate the embryo survival we would expect from matings between fertile males and females from the isofemale line, we allowed 25 females to mate twice with one brother and quantified embryo survival as described above.
ADULT OFFSPRING TRAITS
We raised families of offspring to adulthood in 5‐L boxes as described for the parental generation. Males and females were separated at the final instar and monitored daily for adult emergence. On emergence, males were housed in individual containers (7 cm × 7 cm × 5 cm) and females were housed either individually or if there were more than five on any given day, collectively in a 5‐L container with ad libitum food and water.
Fourteen days after adult emergence, males were assayed for sperm viability using the Live/Dead sperm viability kit (Life Technologies, Carlsbad, CA) which stains live sperm green and dead sperm red. Competitive fertilization success is determined largely by sperm viability, which provides an estimate of expected male reproductive performance (García‐González and Simmons 2005b). We removed the spermatophore from a male's genital pouch and ruptured it in 20 µL of Beadle saline (128.3 mM NaCl, 4.7 mM KCl, and 23 mM CaCl2) using fine forceps. The sample was mixed thoroughly before taking a 5 µL sample and mixing it with an equal volume of 1:50 diluted 1 mM SYBR‐14 on a clean slide. The sample was left in the dark for 10 minutes before adding 2 µL of 2.4 mM of propidium iodide. Following a further 10‐minute incubation period, sperm were scored under a fluorescence microscope at 20× magnification. Sperm viability was estimated as the number of live sperm divided by the total number of sperm counted that was set at 500. Males were then frozen and later body weight and pronotum width were recorded. When females were 14 days post adult emergence, they were frozen and later dissected to record ovary weight. Ovary weight is a strong predictor of fecundity, and so provides a measure of expected female reproductive performance (Simmons and García‐González 2007). Body weight and pronotum width were recorded prior to dissection.
SEMINAL FLUID GENE EXPRESSION
Seminal fluid donors were thawed and dissected. Their accessory glands were removed and placed in RNA later (Life Technologies). RNA was then extracted from the entire accessory gland using the PureLink RNA mini kit (Life Technologies) following the manufacturer's instructions. Disruption of the tissue was achieved using a micropestle (Interpath) and column homogenizer (Life Technologies). An on‐column PureLink DNase treatment was used to remove DNA from the sample and the RNA was quantified using a Qubit fluorometer v2.0 (Life Technologies). RNA yield varied from 355 to 1193 ng/µL in a 100 µL elution volume. A total of 2 µg of RNA from each sample was then converted to cDNA using the high‐capacity RNA‐to‐cDNA kit (Life Technologies) following the manufacturer's instructions. The cDNA was diluted to 10 ng/µL using previous data on standard curves to determine input cDNA amount (Simmons and Lovegrove 2017).
Expression assays were conducted for three seminal fluid protein genes; ToSfp001 (isotig1262), ToSfp011 (isotig1709), and ToSfp017 (isotig5129) (Simmons et al. 2013). These genes were chosen because previous studies have found their expression to be associated with ejaculate quality (Simmons et al. 2014; Simmons and Lovegrove 2017). Full methods can be found in Simmons & Lovegrove (2017). In brief, we used previously designed TaqMan custom assay mixes (Life Technologies) and actin as the reference gene. Each assay was run in triplicate for each seminal fluid gene and reference gene with negative controls (no cDNA) on each plate as follows: 1 µL cDNA, 5 µL 2× TaqMan gene expression master mix and 0.5 µL 20× TaqMan custom assay mix in a 10 µL reaction volume. The assays were run on a StepOne Plus Real‐Time PCR machine (Life Technologies) in compatible 96‐well plates using the following cycling conditions: 50°C for 2 minutes and 95°C for 10 minutes, and then 40 cycles of 95°C for 15 seconds and 60°C for 1 minute. Results were analyzed using the StepOne software version 2.3 and then exported into DataAssist version 3.0 software for sample comparison using the comparative CT method (Schmittgen and Livak 2008). Gene expression data were log transformed for statistical analyses.
Results
The mean (±SE) proportion of eggs that hatched varied considerably across dams (range 0–0.63) with a mean (±SE) of 0.18 ± 0.02. We analyzed each individual offspring's egg‐to‐hatch survival in a generalized linear mixed‐effects model using the lme4 package in the R statistical framework (Bates et al. 2015), entering sfd and dam as random effects. Tests of significance were made using likelihood ratio tests. The probability of an embryo surviving to hatching varied significantly among sfds (Table 1, Fig. 1) and there was also significant variation among dams (Table 1). Our breeding design allowed us to use the variance components in Table 1 to calculate the magnitude of the heritability of embryo survival that would have been ascribed to seminal fluid donors had they contributed genetically to their offspring. We calculated this nongenetic paternal effect “heritability” on the liability scale following the procedures outlined for generalized mixed models in de Villemereuil et al. (2016). Standard error was calculated by jacknifing across sfds and used to calculate 95% confidence intervals (CIs) on the estimated nongenetic heritability. The nongenetic paternal effect “heritability” was 0.636 (95% CI, 0.708–0.564).
Table 1.
Linear mixed models and variance components for the effects of seminal fluid donors (sfd) and dams on embryo survival and the phenotypic traits of adult offspring
| Log likelihood χ 2 (P with df = 1) | ||||||
|---|---|---|---|---|---|---|
| Trait | Offspring sex | Mean ± SE | Vsfd | Vdam | sfd | dam |
| Embryo survival | Combined | 0.18 ± 0.02 | 0.319 | 0.686 | 6.83 (<0.001) | 1180 (<0.001) |
| Pronotum width (mm) | Male | 6.15 ± 0.01 | 2.97 × 10–9 | 1.29 × 10–2 | 0.00 (1.000) | 31.68 (<0.001) |
| Female | 5.79 ± 0.01 | 0.006 | 0.012 | 1.33 (0.249) | 47.43 (<0.001) | |
| Weight (g) | Male | 627.9 ± 3.7 | 93.19 | 832.07 | 0.01 (0.919) | 13.76 (<0.001) |
| Female | 772.8 ± 3.9 | 0 | 2744.0 | 0.00 (1.000) | 54.97 (<0.001) | |
| Sperm viability (P) | Male | 0.68 ± 0.00 | 2.36 × 10–10 | 6.39 × 10–4 | 0.00 (1.000) | 9.81 (0.002) |
| Ovary weight (g) | Female | 188.8 ± 1.9 | 0 | 393.8 | 0.00 (1.000) | 44.68 (<0.001) |
Figure 1.

The mean proportion of embryos surviving to hatching across dams mated to each of 74 castrated seminal fluid donors. Seminal fluid donors are ranked by embryo survival and error bars represent the 95% confidence intervals on the proportion. The shaded bar represents the 95% confidence intervals for the proportion of embryos surviving to hatching for 25 isofemale line females each mated to a single isofemale line male.
We next calculated a mean embryo survival for each sfd across the dams with whom he had mated, and used multiple regression analysis to look for associations between embryo survival and seminal fluid gene expression in the accessory glands of sfds (F 3,70 = 5.45, P = 0.002; Fig. 2). Donor family mean embryo survival decreased with increasing expression of ToSfp001 (isotig1262; F 1,70 = 7.71, P = 0.007) and to a lesser extent ToSfp011 (isotig1709; F 1,70 = 4.81, P = 0.032) but was not associated with the expression of ToSfp017 (isotig5129; F 1,70 = 0.86, P = 0.355).
Figure 2.

Mean proportion of embryos surviving to hatching for dams mated to each of 74 seminal fluid donors plotted against the expression of three seminal fluid protein genes in the donor's accessory glands.
A total of 97 of the original 148 dam families provided hatchlings, but of these only 38 dam families survived to adulthood. One to 16 male offspring per dam family and 2–42 female offspring per dam family were available for adult phenotyping. We used general linear mixed models to analyze adult offspring traits, again entering sfd and dam as random effects. However, we found no significant effects of sfds on any aspect of adult offspring performance that we measured, which was largely explained by dam effects (Table 1).
Although our experiment was not designed to examine hatchling‐adult survival, given the high mortality observed among dam families, we modeled the effect of sfd on the probability of obtaining any adult offspring from the females with whom they had mated. There was a significant effect of sfd on the probability that their females produced surviving adult offspring (χ 2 = 63.54, df 1, P < 0.001). We used a generalized linear model with a binomial distribution and probit link function to model the effect of seminal fluid gene expression in the accessory glands of sfds on hatchling‐adult offspring survival. Neither ToSfp001 (isotig1262) expression (estimate –0.296; 95% CI, –3.35 to 4.24; χ 2 = 0.02, df 1, P = 0.877) nor ToSfp011 (isotig1709) expression (estimate –0.278; 95% CI, –0.801 to 0.1.376; χ 2 = 0.03, df 1, P = 0.615) influenced the probability that hatched offspring survived to adulthood. We note, however, that the expression of ToSfp017 (isotig5129) had a nonsignificant negative effect on survival to adulthood with confidence intervals that were highly asymmetric around zero (estimate –0.16; 95% CI, –0.345 to 0.009; χ 2 = 3.28, df 1, P = 0.064).
Discussion
By mating females to azoospermic males, we have documented nongenetic paternal effects on offspring survival that are mediated by seminal fluid. We found no evidence that seminal fluid affected the body size or reproductive capacity of adult offspring.
It can be difficult to establish whether a parental effect is a maternal effect, a paternal effect, or an interaction between maternal and paternal effects (Crean and Bonduriansky 2014). In species that lack parental care, maternal effects on offspring growth and development are due largely to the amount of resources females allocate to their eggs. Such maternal effects are well documented in insect life histories (Mousseau and Dingle 1991). At least four mechanisms could account for the paternal effects on embryo survival that we have documented here. First, they could in fact be maternal effects. Females of a number of species have been demonstrated to adjust their expenditure on reproduction relative to the perceived quality of their mating partners, so called differential allocation (Sheldon 2000). Thus females could assess males based on, say, the attractiveness of courtship behavior and increase their allocation to eggs after mating with attractive males. Thus, it could be that variation in male attractiveness across seminal fluid donors was responsible for variation in maternal allocation to eggs with causal effects on embryo viability and subsequent offspring survival to adulthood. However, we also showed that variation in the expression of at least two seminal fluid genes in the accessory glands of sfds was associated with embryo viability, and seminal fluid proteins have been found previously to be incorporated into eggs in this species (Simmons 2011). Together, these findings suggest that seminal fluid proteins are involved in this paternal effect. Second, some seminal fluid proteins are known to have gonadotropic effects on females following mating (Avila et al. 2011). Variation in the potency of seminal fluid proteins in stimulating females to allocate more resources to egg production could generate variation in offspring viability among seminal fluid donors. Paternal effects could thus act indirectly through their interaction with maternal effects. Previous studies of T. oceanicus have used radioisotope labeled proteins to track both male and female contributions to eggs (Simmons 2011). Although labeled proteins from the ejaculate were found to be incorporated into the female's somatic tissue, ejaculate proteins were incorporated into eggs at 1.6 times the rate of labeled female proteins (ejaculate‐derived proteins 2.5%−day, female‐derived proteins 1.5%−day) suggesting that seminal fluid‐derived proteins are incorporated directly into developing eggs, rather than affecting maternal allocation (Simmons 2011). Third, seminal fluid proteins may have their effect via their interaction with sperm. In hamsters, ablation of the male accessory glands responsible for the secretion of seminal fluid proteins has the effect of increasing DNA damage to sperm with consequences for rates of implantation and postimplantation mortality of the zygotes they sire (O et al. 1988; Chen et al. 2002; O et al. 2006). Seminal fluid proteins, and particularly ToSfp011 and ToSfp001, are known to influence the viability of sperm in T. oceanicus ejaculates (Simmons and Beveridge 2011; Simmons and Lovegrove 2017) and so they might also influence embryo survival through their effects on sperm DNA integrity. Finally, sfps may act directly on developing embryos if they are carried into the egg at the time of fertilization. Interestingly, ToSfp001 binds tightly to sperm, being found in both the sperm and the seminal fluid proteome (Simmons et al. 2013; Simmons et al. 2014), and would be carried into the egg at the time of fertilization where it would have the potential to impact embryo development.
Seminal fluid donors had the capacity to increase and decrease the survival of embryos relative to that expected for the isofemale line males used in this study. This finding replicates that of Garcia‐Gonzalez & Simmons (2007) who found that males who imparted high embryo viability in their own offspring would elevate the viability of their rival's offspring, whereas male's that imparted low viability in their own offspring reduced the viability of their rival's offspring. Collectively these data show that seminal fluids can have both positive and negative effects on embryo development. Nevertheless, Garcia‐Gonzalez and Simmons (2007) found that males capable of elevating embryo viability seemed to have the stronger effect on embryo survival, suggesting that multiple mating by females may serve to capture the positive effects of some males seminal fluids on their offspring, accounting for why polyandry in this species results in a general elevation in embryo survival (Simmons 2001).
We found that the expression of two seminal fluid protein genes in the accessory glands of sfds was negatively associated with the viability of embryos produced by females with whom they mated. Gene expression is indicative of protein production, not its allocation to ejaculates. Nevertheless, previous studies have found that the levels of gene expression are correlated with the amount of protein contained in whole ejaculates (Simmons et al. 2014), and that the expression of ToSfp011 in the accessory glands is associated with the viability of sperm in whole ejaculates. Thus, male T. oceanicus exposed to the calling songs of rivals show an increased expression of ToSfp011, of ToSfp001, and several other seminal fluid genes that have positive effects on sperm viability (Simmons and Lovegrove 2017). Collectively our findings suggest that increased male expenditure on seminal fluid proteins that affect a male's competitive fertilization success may come at a fitness cost to the offspring he sires. These findings parallel those of two studies, using zebrafish and ascidians, respectively, that have both reported how males reared in high‐risk sperm competition environments sire offspring with reduced survival (Crean et al. 2013; Zajitschek et al. 2014). Moreover, a recent study of zebrafish found that males exposed to rivals had sperm with morphologies that are predicted to promote more efficient fertilization but also had greater levels of DNA damage compared to the sperm of males that were not exposed to rivals, supporting the notion of a trade‐off between male expenditure on gaining fertilizations and on the genetic quality of the offspring they sire (Silva et al. 2019).
Our finding of seminal fluid‐mediated paternal effects holds important implications for quantitative genetic analyses. Half‐sibling breeding designs are widely used for estimating levels of additive genetic variance in behavioral, morphological, and life‐history traits (Falconer and Mackay 1996; Lynch and Walsh 1998). Significant sire effects are assumed to be indicative of additive genetic variance. However, within half‐sibling breeding designs, variance due to sires may in fact arise through nongenetic paternal effects such as those described here. Previously, the heritability of sire induced embryo survival was estimated to be in the region of 0.46 ± 0.29 (García‐González and Simmons 2005a). Our estimate of the magnitude of nongenetic inheritance on the liability scale (0.564–0.708) equates to ∼0.295 on the observed scale, suggesting that much of the heritability in embryo viability estimated previously from a true genetic full‐sib half‐sib design (García‐González and Simmons 2005a) was likely due to nongenetic paternal effects. The strong nongenetic paternal effects on offspring phenotype that we have documented raise general questions around the validity of quantitative genetic designs, such as the full‐sib half‐sib design, that ascribe sire effects to additive genetic variance (Banta and Richards 2018; Evans et al. 2019). They also hold important implications for our understanding of evolutionary processes.
Genetic models for the evolution and maintenance of female mate choice rely on indirect genetic benefits accruing to offspring. However, genetic variation in fitness traits should be eroded by female choice leading to the paradox of the lek (Kirkpatrick and Ryan 1991). An apparent contradiction of the lek paradox is the finding that secondary sexual traits have greater levels of additive genetic variance than do naturally selected traits (Pomiankowski and Møller 1995). Our findings highlight the real possibility that previous estimates of genetic variance in secondary sexual traits may have been greatly inflated by nongenetic paternal effects. This is especially true as the hallmark of secondary sexual traits is their dependence on a male's ability to acquire resources from its environment and to allocate those resources to trait development (Rowe and Houle 1996). As such, secondary sexual trait expression offers a signal of a male's developmental environment and the potential nongenetic effects of that environment on his future offspring. Thus, Bonduriansky and Day (2013) modeled the evolution of costly female preferences in the context of paternal effects, finding that preferences are more likely to be maintained when the benefits of choice are transmitted to offspring via paternal effects that are renewed each generation through environmental effects on males. There is good evidence that ejaculate composition can be condition dependent (Simmons and Kotiaho 2002; Perry and Rowe 2010; Wigby et al. 2016; Patlar et al. 2019), offering an avenue for female choice for paternal effects that promote offspring fitness (Crean et al. 2016; Macartney et al. 2018).
In conclusion, we show that seminal fluids are responsible for a nongenetic paternal effect on the survival of offspring. Nongenetic inheritance holds important implications for our interpretation of quantitative genetic designs that seek to establish the levels of additive genetic variation in phenotypic traits. Nongenetic paternal effects can generate novel and complex evolutionary dynamics. The negative effects on offspring survival of seminal fluid proteins that contribute to a male's competitive fertilization success may hold important implications for female fitness, and the evolution of adaptive maternal responses in the face of sperm competition.
Associate Editor: R. Snook
AUTHOR CONTRIBUTIONS
L.W.S. conceived the project. M.L. conducted the experiments and collected the data. L.W.S. analyzed the data and wrote the manuscript. Both authors approved the final version.
ACKNOWLEDGMENTS
We thank Jacob Berson for help with the statistical analysis and Paco Garcia Gonzalez for comments on the manuscript. This work was funded by a Discovery Project from the Australian Research Council (DP160100797) to L.W.S.
DATA ARCHIVING
The datasets generated and analyzed during the current study are available at https://doi.org/10.5061/dryad.2g8856k.
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