Abstract
11
According to sexual selection theory, males should benefit more from mating with multiple 12
partners than females do, as male investment into offspring production is typically lower. For 13
females, empirical evidence indeed often shows diminishing returns or even costs of mating 14
multiply. For males, the assumption often seems to be “the more, the better” – i.e., a steady 15
increase of male reproductive success with mate number – but experimental tests of it are 16
rare. Here we used a laboratory experiment with Trinidadian guppies (Poecilia reticulata), 17
known for being promiscuous, to assess how pairing males weekly with 4 vs. 7 females 18
affects both sexes’ reproductive performance (n = 32 polygynous males and 170 monogamous 19
females). Increased polygyny delayed females’ reproductive onset by 9% and tripled their risk 20
of reproductive failure. High-polygyny males fathered offspring with 49% more females and 21
had 73% higher daily reproductive output. Y et, they needed 19% longer to initiate pregnancy, 22
and only accumulated more offspring than low-polygyny males after two months. This study 23
suggests that male mating performance is not unlimited. Especially when high extrinsic 24
mortality selects for fast reproduction, less polygyny might be advantageous, and the strength 25
of sexual selection perhaps more similar between the sexes than often assumed. 26
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
3
Introduction
27
Sexual selection theory posits that males – i.e. the sex with the smaller, more numerous 28
gametes – benefit more from mating with additional partners than females do [1]. The slope 29
of reproductive success on mate number, called the “Bateman gradient”, is thus expected to 30
be steeper in males, and sexual selection consequently stronger [2-4]. Across the animal 31
kingdom, empirical evidence indeed supports these expectations [5]. 32
The costs and benefits of multiple mating are relatively well-studied in females. Polyandry 33
(i.e. female matings with multiple males) has been found to be common in a wide range of 34
taxonomic groups [e.g. 6, 7-9], despite diminishing returns or even costs as the number of 35
mating partners increases [e.g. 10, 11-13]. By contrast, polygyny, where one male mates with 36
multiple females, is generally assumed to benefit males at a cost to females [14, 15]. Even at 37
high mating rates, males are expected to gain from additional copulations without saturation, 38
because mating with more females should equal more offspring per male [2, 14, 15]. When 39
costs of polygyny to males have been studied, it was mainly with respect to increased male-40
male competition [e.g. 16, 17] or reduced amounts of paternal care given to offspring [e.g. 18, 41
19, 20]. 42
However, polygyny might be costly for males even when male-male competition and male 43
parental investment are absent. Although sperm has long been viewed as an unlimited 44
resource [2, 21], a male’s number of ejaculates is limited [22]. Empirical evidence of sperm 45
depletion, such as reduced ejaculate size and fertilisation rates after successive matings, exists 46
e.g. for Soay sheep [23], Medaka fish [24], and Lepidopterans [25]. Also ejaculate 47
components other than sperm can become depleted, depressing female fecundity [26]. Even 48
without sperm or ejaculate depletion, male mating performance can decrease over successive 49
matings [27]. Hence, if males spread themselves too thinly by doing a bad job of mating with 50
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
4
too many females, the costs to their females might translate into costs to themselves, and their 51
reproductive success might be lower than that of less polygynous males. 52
Here we test whether polygyny imposes costs on male or female reproduction in Trinidadian 53
guppies (Poecilia reticulata). Guppies are internally fertilising, live-bearing fish whose 54
promiscuous mating system makes them an excellent system for studying sexual selection 55
[28, 29]. Neither sex provides parental care, removing one of the primary costs of – and thus 56
limiting factors to – polygyny. We conducted a laboratory experiment, pairing males weekly 57
with 4 vs. 7 females in sequential monogamy. By assigning males a set level of polygyny, we 58
remove the confounding effect of male quality that, in observational settings, can prevent 59
lower-quality males from achieving higher degrees of polygyny, potentially masking its costs. 60
We measured female age at first reproduction and first litter size and computed male and 61
female daily and cumulative reproductive output. We found that increased polygyny was 62
costly for both sexes. High-polygyny males were slower and less successful at initiating 63
pregnancy, thereby delaying high-polygyny females’ reproductive onset and tripling their risk 64
of reproductive failure. 65
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
5
Methods
66
Experimental fish 67
The fish used here were first-generation (F1) laboratory-born offspring of 297 founders 68
collected from a high-predation stream (Guanapo River) in Trinidad, and brought to Lund 69
University, Sweden, in October 2024. They were housed in a temperature-controlled room 70
(26.5 ± 0.2ºC [mean ± SD]) in four independent recirculation systems with continuous 71
filtration, ultraviolet sterilisation, and a 12L:12D light cycle. Founder females were kept in 72
individual 1.1-litre tanks and checked daily for fry. F1 fry were reared in 1.1-litre tanks in 73
sibling groups (maximum ten fry per tank). At age 30-35 days, F1 juveniles were 74
anaesthetised, sexed, and moved to individual 1.1-litre tanks. All fish were fed ad libitum with 75
liver paste and live brine shrimp nauplii (Artemia spp.). 76
Mating trials 77
From the sexed F1 juveniles, we selected 170 females and 32 males. They had 75 founder 78
mothers, with 2.3 ± 1.0 F1 females per founder mother (range 1-6) and a different founder 79
mother for every F1 male. We assigned fish to one of two experimental levels of polygyny. At 80
the low level, a male was paired with four females (n = 18 males, n = 18 x 4 = 72 females), at 81
the high level, with seven females (n = 14 males, n = 14 x 7 = 98 females). We thus had 32 82
mating groups, each consisting of one male and either four or seven females, respectively. 83
Males had different founder mothers than their females. One individual initially presumed 84
female was later found to be male, and one female died early, reducing the number of females 85
in two high-polygyny groups to six, and the total female number to 168. 86
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
Within each mating group, we paired fish according to a two-week schedule, such that each 87
female was mated once a week, and males had regular recovery periods (Fig. 1). The schedule 88
alternated both the females’ mating order and day-night cycle of mating opportunities, to 89
equalise the likelihood of successful insemination. We set up mating groups in a staggered 90
fashion over 37 days (Supporting table 1). 91
Figure 1. Schedule of mating trials at two experimental levels of polygyny. Mating
groups contained one male and either four females (low polygyny, n = 18 groups) or seven
females (high polygyny, n = 14 groups). All fish were initially virgins. Females were paired
with their assigned male once a week, either during daytime (approx. 8 hours) or overnight
(approx. 16 hours). The schedule was repeated until females either gave birth or reached 100
days of age. Females were housed in individual tanks; males were moved between female
tanks, with recovery periods in their own tank. Hence, matings happened in a sequentially
monogamous way and always in the females’ home tank.
92
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
7
Females were mated first at age 42.7 ± 4.8 days (range 34-64) and males at age 51.3 ± 7.1 93
days (range 21-59). We ensured that all males were sexually mature, as indicated by a fully 94
developed gonopodium. Low-polygyny females were, on average, 4.2 days younger on their 95
first mating opportunity than high-polygyny females. In part, this difference (t = -6.2, df = 96
154.8, p = 6.3e-09) arose because fewer days are needed to mate one male with four rather 97
than seven females (see Fig. 1), but logistic difficulties contributed to it. To account for a 98
potential bias introduced by variation in female age at first mating, we included it as a 99
predictor in statistical models. 100
We mated females until they gave birth or reached 100 days of age without reproducing. In 101
four mating groups, the male died before all females either reproduced or turned 100 days old. 102
The resultant lack of mating opportunities for these 16 females (8 from high-, 8 from low-103
polygyny groups) could affect their reproductive performance. “Death of male” was thus a 104
predictor in statistical models. Non-reproductive females aged 100 days were kept isolated for 105
12 days. If by day 112 they still had not given birth, we declared them non-reproductive with 106
respect to their assigned male. To investigate whether they were infertile, we then paired them 107
with two additional males. These were unrelated to the females, the females’ first males, and 108
each other. None of them had previously been part of mating trials. Every week, we paired 109
non-reproductive females with their two males, sequentially, for 24 hours per male. Females 110
that were non-reproductive by the age of 165 days were considered infertile. 111
Measurement of phenotypic traits 112
We measured female age at first parturition and the number of offspring in first litters. Female 113
tanks were checked daily for fry. Fry born within one day of each other were considered to be 114
part of the same litter. We calculated female daily reproductive output by dividing first litter 115
size by the interval between a female’s first mating opportunity and first parturition. A male’s 116
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
8
daily reproductive output was the sum of the daily reproductive outputs of his assigned 117
females. We identified the mating opportunity a female’s pregnancy was likely initiated at by 118
subtracting the shortest observed gestation length (22 days) from her first parturition date, 119
followed by finding the closest mating opportunity before that date. 120
Statistical analysis 121
We used generalised linear mixed models (GLMMs) to analyse the interval between females’ 122
first mating opportunity and first birth, the size of the first litter, and female daily reproductive 123
output. The fixed effects were level of polygyny (factor: low vs. high), female age at first 124
mating, female pairing order in week 1 of mating trials, premature death of male (factor: no 125
vs. yes), and the recirculation system a female was housed in (factor: 1-4). We fitted random 126
intercepts for male identity and female’s mother’s identity, to account for non-independence 127
of data among females grouped by these factors. 128
We compared models fitted with different error structure to find the best-fitting one for each 129
trait. For the mating-to-birth interval, the best model had Gaussian errors, an identity link 130
function, and base-e log-transformed response values; for first litter size, Poisson errors, a log 131
link, and untransformed response values; for female daily reproductive output, Gaussian 132
errors, an identity link, and a square-root-transformed response. 133
We performed statistical analyses in R v. 4.4.2 [30]. GLMMs were fitted using “glmmTMB” 134
[31]. We tested the significance of random effects with log-likelihood ratio tests and assessed 135
model fit using DHARMa [32]. Scatterplots were prepared using “beeswarm” [33]. Values are 136
given as mean ± SD. 137
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
9
Results
138
Effects of polygyny on female reproduction 139
Increased polygyny delayed females’ reproductive onset (Fig. 2a, Table 1). Females in the 140
high-polygyny treatment had 9.0% longer intervals between their first mating opportunity and 141
first birth (42.9 ± 11.4 days) than those in the low-polygyny treatment (39.4 ± 8.8 days). 142
Mating-to-birth intervals were also longer for younger females (Fig. 2b) and when a female’s 143
assigned male died prematurely (Table 1). They did not depend on the pairing order of 144
females, nor on their placing inside the laboratory (Table 1). Male identity explained a 145
significant amount of variation in mating-to-birth intervals, while the identity of the females’ 146
mother did not (Table 1). 147
High-polygyny females had larger first litters than low-polygyny females (Fig. 2c) but the 148
same daily reproductive output (Fig. 2d, Table 1). On average, first litters contained 30.8% 149
more offspring in high-polygyny groups (6.4 ± 3.7 vs. 4.9 ± 2.5; Fig. 2c). Given that litter size 150
was positively correlated with female age at first parturition (Pearson’s r = 0.49, t145 = 6.8, p = 151
2.04e-10), this difference likely arose from high-polygyny females being older and thus 152
presumably larger when producing their first litters. All other predictors of first litter size 153
were nonsignificant, except for the females’ mothers’ identity (Table 1). However, despite 154
their larger first litters, high-polygyny females did not have a higher daily rate of offspring 155
production: 0.15 ± 0.07 vs. 0.13 ± 0.06 offspring per day (Fig. 2d, Table). No other predictor 156
influenced that rate either (Table 1). 157
The high-polygyny treatment increased females’ risk of reproductive failure (Fig. 2e). Only 158
21 out of 168 females (12.5%) did not reproduce, but rates of non-reproduction were over 159
three times greater in the high- (17.7%) compared to the low-polygyny group (5.6%; 160
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
10
Pearson’s /g2031/g2869
/g2870 = 4.5, p = 0.0339; Fig. 2e). Notably, non-reproductive females were not infertile: 161
upon being paired with additional males, 20 out of 21 females (95.2%) gave birth. 162
Figure 2. Effects of experimentally increased polygyny on female reproductive
performance. High-polygyny females needed more time to conceive than low-polygyny
females (a) – an interval that also increased the younger a female was when mated for the
first time (b). High-polygyny females had larger first litters (c) but equal daily reproductive
output (d). They were, however, more likely to remain non-reproductive (e). In (e) the
sample size is 72 and 96 females per group, respectively, and error bars are binomial
standard errors (± 1 SE) computed according to Zar [34].
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
11
Effects of polygyny on male reproduction 163
At first glance, being more polygynous boosted males’ reproductive success. Males in high-164
polygyny groups fathered offspring with 49.4% more females (5.6 ± 1.3) than low-polygyny 165
males (3.8 ± 0.5; Wilcoxon rank sum test: W = 31, p = 9.33e-05; Fig. 3a). They also had a 166
73.0% higher total daily reproductive output (W = 38, p = 0.0005; Fig. 3b), receiving 0.83 ± 167
0.31 compared to 0.48 ± 0.14 offspring per day from all their females combined. This was 168
despite a 3.2 times higher fraction of non-reproductive females among high- than low-169
polygyny males (17.5 ± 18.7% vs. 5.6 ± 13.7%; W = 71, p = 0.0161). 170
However, when taking the aspect of time into account, increased polygyny was costly for 171
males. High-polygyny males needed 18.5% more mating opportunities – and thus 18.5% 172
more time – to initiate pregnancy in a female (3.7 ± 1.7 vs. 3.1 ± 1.3 mating opportunities; 173
Welch two-sample t-test: t142.3 = -2.4, p = 0.0201; Fig. 3c). Additionally, the benefits of 174
increased polygyny accrued relatively late. The total number of offspring a high-polygyny 175
male sired only surpassed that of low-polygyny males 65 days after a male’s first mating (W = 176
36, p = 0.0007); after 35 and 50 days, respectively, the difference was nonsignificant (both p > 177
0.34; Fig. 3d). 178
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
12
Figure 3. Effects of experimentally increased polygyny on male reproductive
performance. High-polygyny males gained offspring from a higher absolute number of
females (a) and had a higher daily reproductive output (b). However, they needed more
mating opportunities to impregnate their females (c) and only accumulated more offspring
than low-polygyny males 65 days after their first mating opportunity (d).
179
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
13
Mating-to-birth interval No. offspring in first litter Daily reproductive output
Fixed effects: Estimate
(S.E.)
z-value p-value Estimate
(S.E.)
z-value p-value Estimate
(S.E.)
z-value p-value
(Intercept) 4.34 (0.24) 18.00 < 2e-16 1.59 (0.46) 3.44 0.0006 0.28 (0.07) 3.78 0.0002
No. female partners (4 vs. 7) 0.22 (0.06) 3.53 0.0004 0.30 (0.11) 2.61 0.0091 0.02 (0.02) 0.91 0.36
Female age at first mating -0.02 (0.01) -2.78 0.0054 0.00 (0.01) 0.04 0.97 0.00 (0.00) 1.00 0.32
Female pairing order -0.02 (0.01) -1.56 0.12 -0.03 (0.03) -1.13 0.26 -0.00 (0.00) -0.38 0.70
Death of male (no vs. yes) 0.20 (0.09) 2.25 0.0242 0.18 (0.17) 1.03 0.30 0.00 (0.03) 0.01 0.99
Recirculation system 2 0.08 (0.06) 1.34 0.18 -0.08 (0.14) -0.54 0.59 -0.03 (0.02) -1.30 0.20
Recirculation system 3 -0.04 (0.06) -0.73 0.47 0.02 (0.13) 0.12 0.90 0.01 (0.02) 0.32 0.75
Recirculation system 4 -0.00 (0.05) -0.08 0.94 0.13 (0.13) 1.02 0.31 0.01 (0.02) 0.68 0.50
Random effects: Var (S.D.)
/g2257/g2778
/g2779 p-value Var (S.D.) /g2257/g2778
/g2779
p-value Var (S.D.) /g2257/g2778
/g2779
p-value
Male identity 0.014 (0.119) 13.41 0.0003 0.019 (0.139) 1.72 0.19 0.000 (0.000) 0.0 1.00
Female’s mother’s identity 0.007 (0.084) 2.39 0.12 0.054 (0.233) 7.23 0.0072 0.000 (0.000) 0.0 1.00
Residual 0.030 (0.174) 0.008 (0.091)
Table 1. Outcome of GLMMs for reproductive traits of female guppies whose partners experienced either a lower or higher level of 180
polygyny. Number of females = 147 (lower level of polygyny: 68, higher level of polygyny: 79). 181
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
14
Discussion
182
Our findings indicate that polygyny imposes direct costs on female reproduction, and that 183
these translate into reproductive costs to males. Female guppies in the high-polygyny 184
treatment conceived more slowly and were three times more likely to remain non-185
reproductive. High-polygyny males, for their part, were slower at initiating pregnancy, had 186
higher reproductive failure, and only outperformed low-polygyny males after two months. 187
While females in our study undoubtedly faced higher costs than males given their inability to 188
seek compensatory matings elsewhere, we show that polygyny carries direct fitness costs for 189
male guppies, too. We can rule out that high-polygyny males were accidentally paired with 190
less fertile females, as non-reproductive females successfully reproduced with other males. 191
Costs of polygyny are rarely considered in species without parental care. We are not aware of 192
prior work in guppies that quantified how polygyny affects male or female reproduction. But 193
sexual interactions have been found to be costly to males in other respects. Large guppy males 194
show higher mortality when housed in mixed-sex compared to all-male groups [35]. Increased 195
male reproductive effort decreases males’ foraging rates, growth, and survival [36, 37]. Sperm 196
production is plastic in guppies, decreasing under food limitation [38] and increasing in the 197
presence of females [39-41], suggesting that its costs are substantial (although see [42]). Data 198
on how male mating history affects female reproductive performance are sparse; guppy 199
females primarily experience polyandry [28, 29], where matings with multiple males likely 200
mitigate some of the costs associated with polygyny. 201
The delayed conception and first birth of high-polygyny females suggest that polygyny might 202
be costly especially when extrinsic mortality is high. When mortality risks are high, anything 203
that lowers a male’s ability to fertilise eggs quickly should be selected against. After all, he 204
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
15
might die before encountering her again, or she might die before conceiving or before giving 205
birth. Guppies inhabiting downstream river sections, where population densities are kept low 206
by intense predation [43, 44], face substantially higher monthly mortality rates than their 207
conspecifics in upstream sections [45]. It might thus be expected that the optimum degree of 208
polygyny is lower in high- than in low-predation populations – thus adding another facet to 209
the many ways in which sexual selection dynamics differ between high- and low-predation 210
guppies [46-49]. Also irrespective of extrinsic mortality it might be advantageous to 211
reproduce early. There is evidence across various species that earlier-born offspring have 212
higher fitness than later-born offspring, for example in lizards [50], roe deer [51], and 213
mosquitofish [52]. Moreover, in a growing population, females gain more fitness from 214
offspring born earlier, as reproducing earlier allows them to contribute to population growth 215
sooner [53-55]. 216
Several limitations of our study should be addressed. First, it cannot pinpoint the mechanism 217
behind the delayed reproductive onset of high-polygyny females, which might be mating 218
fatigue, sperm limitation, or both. Future work could address this, perhaps by observing 219
mating behaviour or measuring sperm counts. Second, our experimental design simplified 220
natural conditions in three important ways: by imposing monogamy on females, considering 221
first litters only, and eliminating male-male competition. In the following, we explain why we 222
believe these simplifications do not interfere with our study’s goal and instead make our 223
estimated costs of polygyny conservative. Females being monogamous is an unlikely 224
scenario; in the field, both courtship displays and sneak mating attempts are common [28] and 225
levels of multiple paternity typically high [29]. Consequently, females that failed to get 226
pregnant quickly from their high-polygyny male would likely be inseminated by other males, 227
thereby increasing male costs of polygyny. The restriction to first litters might, by contrast, 228
not be overly unrealistic: under natural conditions, females might not live to produce a second 229
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
16
litter or might sire it with sperm from another male. Nonetheless, had our study included 230
second litters, then many low-polygyny females would have produced second litters before 231
high-polygyny females had their first, reducing the benefit of increased polygyny even after 232
65 days. Finally, eliminating male-male competition allowed us to quantify effects of 233
polygyny independent of variation in males’ competitive ability before or after copulation. 234
This, again, makes our study conservative: if a more polygynous mating strategy does not pay 235
off in a benign, competition-free scenario, it might not under more realistic conditions either. 236
Future experiments or modelling work could address costs of polygyny in the context of 237
competition between males. 238
An unexpected finding is the apparent bimodal distribution of the mating-to-birth interval, 239
visible as two parallel, downward-facing clouds in Fig. 2b. In the lower cloud, mating-to-birth 240
intervals were relatively short (~22-48 days); in the upper cloud, relatively long (~40-75 241
days). Within clouds, interval length depended on female age at first mating, decreasing the 242
closer that age was to about 50 days, when females apparently reached sexual maturity. Given 243
that guppy females, unlike males, lack external signs of maturity [56], identifying that age in 244
females is an interesting result in and of itself. If a female’s first mating happened around age 245
50 days and was successful, the mating-to-birth interval was shortest (min. 22 days), 246
consisting only of the gestation time. However, if the mating was (supposedly) unsuccessful, 247
the interval increased to about twice that length (~42-53 days). At this point, we do not know 248
whether this bimodality is an artefact of pairing females discontinuously (i.e. once a week); 249
more data will need to establish its veracity. However, it is faintly reminiscent of a 250
spontaneous ovarian cycle, for which circumstantial evidence exists in other poeciliids [57]. 251
In conclusion, our study shows that costs of polygyny are borne by females as well as males. 252
This implies that sexual selection operates on females, too – if polygyny comes with 253
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
17
reproductive costs in males, then presumably there is male mate choice. The appreciation of 254
sexual selection being important in females is growing, mainly driven by widespread positive 255
associations between polyandry and female reproductive success [58, 59]. We contribute to 256
this paradigm shift by highlighting that male mating performance is not unlimited, and the 257
association between polygyny and male reproductive success perhaps not unconditionally 258
positive. 259
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
18
Ethics 260
This research was approved by the Ethical Committee on Animal Experiments, Lund/Malmö, 261
Sweden (Dnr 5.8.18-13832/2024). 262
Data accessibility 263
All data and R code associated with this manuscript will be available as part of the Supporting 264
Information following manuscript acceptance. 265
Declaration of AI use 266
We have not used AI-assisted technologies in creating this article. 267
Author contributions 268
T.V .D.W.: investigation, formal analysis, writing – original draft. 269
F.D.G.: investigation, writing – review & editing, supervision. 270
T.P.: formal analysis, writing – review & editing. 271
A.F.: conceptualisation, formal analysis, data curation, writing – original draft, writing – 272
review & editing, visualisation, supervision, funding acquisition. 273
Conflict of interest declaration 274
We declare we have no competing interests. 275
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
19
Funding 276
This research was funded by Lund University (Start-up and Infrastructure Grant to A.F.) and 277
by the Royal Physiographic Society of Lund (Grant to A.F.). 278
Acknowledgements
279
We thank the core scientists of The Guppy Project, David Reznick, Joe Travis, Ron Bassar, 280
and Tim Coulson, for letting us stay in their field station in Trinidad and using its 281
infrastructure for capturing the founders of our laboratory population. We especially thank 282
Ryan Mohammed for his invaluable help with export permits and logistics, and Ignacio Paulin 283
and Gabriela Jeliazkov for help in the field. In Lund, we thank Madalena Madeira for help 284
with fish maintenance, and Olof Berglund for comments on an earlier version of the 285
manuscript. 286
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
20
References
287
1. L eh t on en, J ., Ba t eman grad ients from firs t principles . Na tur e Co mmunic a ti o ns, 2 022. 288
13(1). 289
2. Ba t e man, A. J ., Intra- s e x ual s election i n Dr os ophila. Her edi ty , 1948. 2 (3): p. 349- 368. 290
3. Arnold, S. J ., B at ema n's principl es and the measuremen t of s e x ual s election in pla n ts 291
and an imals . The A meric an N a tu r alist, 199 4. 144: p. S126- S14 9. 292
4. Henshaw , J ., A . K ahn, and K. F r itz sche, A rigor o us c ompar is on of se x ual sele c t ion 293
i n dex es via simulations of dive r s e mat ing sys t ems. P r oceeding s of t he N a tion a l 294
Ac a d emy o f S cience s of the U n i t ed Sta t es of A mer i c a, 2016. 113(3) : p. E 30 0-E308. 295
5. Janick e, T ., et al., Darwinian se x r oles c onfirmed across t he animal k ingdo m . Sc ien ce 296
Adv anc es, 2 016. 2 (2) : p. e15 00983-e150098 3. 297
6. G r i f fith, S., I.P . F . Owen s, and K . Thuman, Extr a pai r pa t ern i t y i n bir ds : a r ev iew of 298
i n t erspec ific variation and a d apt ive f u nction. Mol ecular E c ology , 2002. 11 (1 1 ): p. 299
2195-2212. 300
7. Bürkli, A. and J . Jo k ela, Increase i n mu l t iple p a t ernity across t he reproductive lif es pa n 301
i n a sperm-st oring, hermaphr odi tic fr esh wat er snail. Molecular E c ology , 20 17. 26(19) : 302
p. 5264-5278. 303
8. S o uls bur y , C., Genetic p at t erns of pa t e r nity and t es t es size in mammals. Pl os O ne, 304
2010. 5 (3): p. e95 81. 305
9. U ller , T . and M. O ls son, Multiple pa t er nity in r ept iles: patt ern s and pro c es s e s. 306
Molecular E c ology , 2008. 17 (11) : p. 2 566-2580. 307
10. L ang e, R., et al., F emale fitnes s opt imum at i n t er media t e mati ng r a t es under 308
traumatic mat ing. Plos O ne, 201 2. 7 ( 8) : p. e43234. 309
11. Y an, J .L., M.L. D obbin, and R. Duk a s, Se x ual conflic t and s e x ual network s in bed bugs: 310
the fit nes s c os t of tr aumatic ins eminat ion, f emale av oi da nc e and ma le mat e choice. 311
Pr oceeding s of t he R oy al S o ciety B , 2 024. 291(2 0 27): p. 20 232808 . 312
12. Huchar d, E., et al., Con v enience polyandr y or con venience poly gyn y? cos tly se x under 313
f emale cont rol i n a promiscuous pr i mat e. Pr oceedings of the R oy al So c iet y B , 2012. 314
279(1732): p. 1 371- 137 9. 315
13. Maklak ov , A.A., T . Bilde, and Y . Lubin, Se xua l c on flict in t he wild: Elev at ed m ating ra t e 316
reduce s f emale lif etime repr oductive s uc ce s s . The A meric an N a t ur alist , 20 0 5. 317
165(Supplemen t) : p. S38-S45. 318
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
21
14. S h ust er , S.M. and M. J . W ade, Mating s y st ems and s trat e g i es . Mon ogr aph s i n Beh avior 319
and E colog y . 20 03, Princet on, New Je r se y , U S A : Princ et on Univ er s it y P r ess. 320
15. Emlen, S. T . and L . W . Oring, E c ology , s e x ual sel ection, and t he e volut i on of m ating 321
sy st ems . Scien c e, 19 77. 197( 4300): p. 215-223. 322
16. Jungwirth , A ., et al., P oly gyn y aff ects pat ernal care, but not sur vival , pair s s t abi lity , 323
and grou p t e nur e in a c ooper a tive cichlid. Beha v ior al Ec ology , 2016 . 27(2): p. 592-600 . 324
17. Dubuc, C., A. Ru i z-Lambides, and A. W idd i g , V ar ianc e in male lif etime r e p r oductive 325
s uc ce s s an d es timat ion o f the degree of polygyn y in a primat e. Beha v ior al Ec ology , 326
2014. 25(4): p. 878-8 89. 327
18. S chlich t, E . and B. K empenaer s , Origin and o ut come of soci a l po lygyn y in t he blue t it. 328
Ar dea, 2021. 109( 1): p. 91-11 8. 329
19. Desjar dins , J .K., et al., Co st s and benefits of polygyn y i n t he c ich lid N eolamp r ologus 330
pulc her . An i mal B eha v iour , 20 08. 75(5 ): p. 1771-1779 . 331
20. Mueller , S.D ., et al., R educed fit nes s of secon dary f emales in a poly gynous s peci es: a 332
32-yr s tudy of Sav an na h s par rows. B eha v ior al E c ology , 2 02 5. 36 (1): p . ar ae 093. 333
21. Dawkins, R., The sel f is h gene . 197 6, New Y ork: O xf or d Univer s it y Pr ess . 334
22. Dews b ury , D .A., Ejaculat e Cos t and M ale Choice. The Americ an Nat ur alist , 1982. 335
119(5): p. 601-6 10 . 336
23. Pr es t on, B. T ., et a l., D ominan t r ams lose out by s per m deple t ion. N a t ur e, 2001. 337
409(6821): p. 6 81- 682. 338
24. K ondo , Y . , M. K ohda, and S. Awat a, Male medak a con tinue t o ma t e with f e males 339
des pit e sperm depletion. R Soc Open Sc i, 2 025. 12 (1) : p. 2416 68. 340
25. T or r es-Vila, L .M. and M.D . J ennions, Male matin g his t ory and f emal e f ecu ndity i n the 341
L epidopt e r a: do male virg ins mak e be t t er p art ners? B e h a vi o r a l E c o l o g y a n d 342
S o c iobiology , 2 004. 57 (4): p. 318- 326 . 343
26. Abr aham, S., et al., Mal e ac ces sory gland dep letion i n a t ephri t id fly a f f ec t s f ema l e 344
f ec undit y i ndepen den tly of sperm d e plet ion. Beha v i or al Ec ology and So ci o biology , 345
2020. 74(5). 346
27. Abr egú, D . A., A. V . P er et ti , and M. G on zále z , Male perf ormanc e and asso c iated c os ts in 347
s uc ce s si ve sex ual enc ount ers in a poly gynous web wol f s pider . Act a E th ologi c a, 201 9. 348
22(3): p. 175-1 86. 349
28. Houde, A .E., S e x, co l or , an d mat e c ho i ce in guppies , ed. J .R. K r ebs and T .H . C lut ton-350
Br ock. 19 97, Princet on, New Jer se y : P r incet on Univer s ity Pr ess. 351
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
22
29. N e f f , B.D ., T .E. Pit cher , and I. W . Ramn ar i n e, In t er- popul a t ion vari atio n in m ult i pl e 352
pat erni t y and r epr oductive s k ew in the guppy . Molecula r E cology , 2 008. 17 (12): p. 353
2975-2984. 354
30. R Cor e T eam, R: A Lan gua ge and E n vir onmen t f or Statis tical Compu ting. 20 24, R 355
Fou nda tion f or S t a t ist ical Comp uting: Vienna, Aus tr ia. 356
31. Br ook s, M.E ., et al., glmmTMB balanc es s peed and fle xibili ty among pack a ge s f or 357
zero -infla t ed genera liz ed l inear mixed model ing. The R Journal, 2017. 9 (2) : p. 378-358
400. 359
32. Hart ig , F ., DH ARMa: residual dia g nosti cs f or hierar c hical (mult i -lev el/mixed) 360
regres s ion mo de ls . R pac kag e v er sion 0.4.1 ed, 20 21. 361
33. Ek lun d, A., bee s war m: the bee s warm p l ot , an al t ernativ e t o s tr ipc har t. 202 1. 362
34. Za r , J .H., Sampling a bin omial popu lat ion , in Bi os t at i s tical A nalys is , S . Fi sher and S.L. 363
S n av ely , Ed i t or s. 199 6, Pr en tice-H all , In c .: Ne w Jer se y , Upper Saddle Riv er , N J , U SA. p. 364
523. 365
35. Jerr y , M. and C . Br own, Fitnes s c o st s of se xual har as s men t - t he price of pe rsua s ion. 366
Et h o l o g y , 2 01 7. 123 (3): p. 242-250. 367
36. Jor dan, L. A. and R. C . B r ook s, The lif et i me c os t s of i n c r eas ed male repr oduc t i ve ef f ort: 368
Courtship, c opula tio n and the Coo lidg e eff e ct J ournal of E volut ion a r y Biol ogy , 20 10. 369
23(11): p. 2403- 2 409. 370
37. Mille r , L .K. and R . Br ook s, The eff ec t s of geno t y pe, age, and soc ial en viron me n t on 371
male ornamen tat io n, matin g behavi o r , and at tractivenes s. E v olution, 2005. 59(11) : p. 372
2414-2425. 373
38. G a sparini, C., et al., P at t e r n of i nbreeding de pr e s sion, conditi on depen dence, and 374
addit ive ge n e t ic variance in T rinid adi an guppy ejac u lat e trait s . E c ology & E v olut ion, 375
2013. 3 (15): p. 4940- 495 3. 376
39. Bo zyns ki, C . C . and N .R. Liley , The eff ec t of f emal e pr es enc e on s per miation, and of 377
male s e x ual ac t iv it y on "ready" s perm i n t he ma le guppy . Animal Beha v iou r , 2003. 378
65(1): p. 53-58. 379
40. Ca t t elan, S., et al., The e f f ec t of s per m producti on an d mat e avai la bi l it y on pat t erns of 380
alt erna t i ve mat i ng tactic s in the gu pp y . Animal Beha v iour , 2016. 112: p. 10 5- 110. 381
41. G a sparini, C., A. V . P er et t i, and A . Pilastr o , F e male pr es en ce influenc es s per m vel ocity 382
i n t he g uppy . B i o l ogy Let t er s , 20 09. 5 ( 6 ): p. 792-794. 383
42. Magris, M., et al., Quic k-change art ists: Ma l e guppies pay no cos t t o r e peatedly adjus t 384
their se xual s trat egie s. Beha vior al E c ology , 20 18. 29(5) : p. 1113-11 23. 385
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
23
43. G illiam, J .F ., D .F . F r a ser , and M. Alkins-K oo , Str uc t ure of a tr o pic al s tream fis h 386
community: A ro le f or biot ic int eracti ons. E colog y , 1993. 74(6): p. 185 6-18 70 . 387
44. R e z nick , D ., M. J . Butler , and H. R o dd, L if e - hist ory ev olut ion i n guppie s. VII. T he 388
compa rative eco logy of hig h- and l ow - predat ion en vironme n ts . The A merican 389
N a tu r alist, 2001 . 157 (2): p. 1 26-140. 390
45. R e z nick , D .N., et al., L if e-his t or y evolution i n gu ppies (P oeci lia r e t ic ulat a) 6. 391
Diff er ential mort al i t y as a mechanis m f or na tur al s election. E volut ion, 1996. 50(4) : p. 392
1651-1660. 393
46. Endler , J . A., A pr edat or's vie w of animal c ol or pa t t erns. E v olut ionary Bio logy , 1978. 394
11: p. 319-36 4. 395
47. Millar , N .P . , et al., Dis en t ang ling the sel ective f act ors that ac t on ma le colo ur i n wild 396
guppies . Oik o s, 2006 . 113(1) : p. 1-12 . 397
48. S c hwart z , A. K. a n d A.P . H endry , A t es t f or the p aralle l co- ev olution o f male c o l ou r an d 398
f emale pref erence in T r inidadi an gu p pies ( P oe c ilia reticula t a) . Ev olutionary E co l o gy 399
R es ear c h , 2007 . 9 (1 ): p. 71-90. 400
49. El g ee, K.E. , et al., Geographic v ar iati o n in sperm tr aits r eflec t s pr edation risk and 401
natural r at es of mult iple p at erni t y in the guppy . J ournal of E volut ionar y Biol ogy , 2010. 402
23(6): p. 1331-1 33 8. 403
50. Wap s tr a, E., et al., G iving offspring a head s t ar t in li f e: f iel d and experime n t al 404
ev idence f or s ele ction on ma t ernal ba s king b ehav iour in l iz ards. Jour nal of 405
E v olutionary Biol ogy , 20 1 0. 23 (3): p. 6 51-657. 406
51. Couls o n, T . , et al., Mod e ling ad apt iv e and nonadap tive respons e s of popula tions t o 407
envir onmen t al change. The A meric an Nat ur alis t, 2017 . 190(3): p. 3 13- 336. 408
52. R e z nick , D ., et al., On the vi r tue of bei ng the f ir st born: The inf luence of da te of birth 409
on fi tnes s in the mosquit of ish, Gambu s ia aff in is . Oi k o s, 2 006. 114 (1) : p. 135 -147. 410
53. F r ank , S .A ., N at ural se lection at multi ple s cale s . E v olution, 2025. 79( 7): p. 1 166-1184. 411
54. S t earns, S . C ., The e volution o f li f e his tories . 19 92, N e w Y ork : Ox f or d Univer s ity Pr ess, 412
U SA. 264. 413
55. Charleswo rth, B., E volution in a ge-s tr uc t ured pop ula tions. 2 ed. 1994, Ne w Y ork: 414
Cambridg e Univer s it y Pr ess. 415
56. P ot t er , T ., et al., E n v ir onmen t a l chang e, if unaccount ed, pr eve n t s det ection of cr y pt ic 416
ev olut ion in a wild popu lati on . Th e Americ an N a t ur alist , 2021. 197(1): p. 2 9-46. 417
57. S iciliano , M. J ., E vidence f or a s p on t an eous o v ar ian c ycle in f i sh of the ge nus 418
Xiphophor us. Biologic a l Bullet i n , 1972. 142(3): p. 480-4 88 . 419
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
van der Walle et al. – Manuscript
24
58. F r omon t e il, S., et al., Se xual selec t i on in f emal es and the evolut ion o f poly a ndr y . PLoS 420
Biology , 2023. 21(1 ): p. e3001 916. 421
59. T ang-Martine z, Z ., R ethinking Bat ema ns principles : Ch al lenging per s is t en t myths of 422
se x ually r el u c t an t f emales an d pr omisc uous males . J ournal of Se x R es ear c h , 2016 . 423
53(4-5): p. 532- 559. 424
425
.CC-BY-NC-ND 4.0 International licenseavailable under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made
The copyright holder for this preprintthis version posted April 10, 2026. ; https://doi.org/10.64898/2026.04.07.716995doi: bioRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.