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Comparative Study
. 2021 May 14:10:e65610.
doi: 10.7554/eLife.65610.

Inbreeding in a dioecious plant has sex- and population origin-specific effects on its interactions with pollinators

Affiliations
Comparative Study

Inbreeding in a dioecious plant has sex- and population origin-specific effects on its interactions with pollinators

Karin Schrieber et al. Elife. .

Abstract

We study the effects of inbreeding in a dioecious plant on its interaction with pollinating insects and test whether the magnitude of such effects is shaped by plant individual sex and the evolutionary histories of plant populations. We recorded spatial, scent, colour, and rewarding flower traits as well as pollinator visitation rates in experimentally inbred and outbred, male and female Silene latifolia plants from European and North American populations differing in their evolutionary histories. We found that inbreeding specifically impairs spatial flower traits and floral scent. Our results support that sex-specific selection and gene expression may have partially magnified these inbreeding costs for females, and that divergent evolutionary histories altered the genetic architecture underlying inbreeding effects across population origins. Moreover, the results indicate that inbreeding effects on floral scent may have a huge potential to disrupt interactions among plants and nocturnal moth pollinators, which are mediated by elaborate chemical communication.

Keywords: Silene latifolia; dioecy; ecology; evolutionary biology; floral VOC; flower colour; inbreeding depression; sexual dimorphism.

Plain language summary

Destroying habitats can reduce the size of local populations of many plants and animals. For plants, a smaller population means a greater chance of inbreeding, where individual plants that are closely related to each other mate and produce offspring. Inbreeding often results in offspring that are weaker than their parents which can reduce the plant’s chance of survival. Many plants rely on animals to help them to breed. For example, bees carry pollen – containing the male sex cell – to other flowers which then fertilize the plant to produce seeds. Flowers use a wide range of attributes to attract animals such as their colour, scent and providing them with food. However, inbreeding may alter these characteristics which could make it harder for inbred plants to reproduce, meaning that populations would end up shrinking even faster. To test this theory, Schrieber et al. studied flowers from white campions which use moths to breed. Inbred plants had smaller and fewer flowers, and had a different smell. In particular, they produced less of a chemical scent that is known to attract moths at night. Schrieber et al. then tracked moths visiting a mixed population of inbred and control plants. Fewer moths visited the inbred flowers, particularly the ones that were female. This shows that inbreeding may accelerate population loss and extinction by making flowers less attractive to animals. This work highlights the impact habitat destruction has on plants and shows how species can decline rapidly as populations shrink. This could help to support conservation efforts and inform ecology models to better understand our effect on the environment.

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Conflict of interest statement

KS, LH, AS, RD, JM, CM, AE No competing interests declared

Figures

Figure 1.
Figure 1.. Graphical sketch of the applied methods.
Each of the eight listed methodologies is illustrated in detail in a figure supplement.
Figure 1—figure supplement 1.
Figure 1—figure supplement 1.. Map of the geographic locations of the sampled European (left) and North American (right) Silene latifolia populations.
Figure 1—figure supplement 2.
Figure 1—figure supplement 2.. Overview of the experimental crossings within each of the 16 Silene latifolia populations.
The crossings were performed with five families (numbered grey circles). Females (red plants, leaf pointing to left) were fertilised with pollen from males (blue plants, leaf pointing to right) from the same family for inbreeding (dashed arrows), and with pollen from males from a different family for outbreeding (solid arrows). Inbreeding and outbreeding were performed at distinct flowers of the same female individual.
Figure 1—figure supplement 3.
Figure 1—figure supplement 3.. Experimental plants.
Our study involved 320 plant individuals from two origins (Europe, North America) × 8 populations × 5 maternal families × 2 sexes (male, female) × 2 breeding treatments (outbred, inbred).
Figure 1—figure supplement 4.
Figure 1—figure supplement 4.. Spatial flower traits.
(a) Spatial flower trait assessment. (A) Maximal synflorescence height above ground, (B) flower number, (C) petal limb area, (D) corolla expansion. (b) Variation in flower shape of Silene latifolia plants in our experiment. Photographs from female (upper row) and male (lower row) flowers with maximal deviation in flower shape were randomly chosen from the entire pool of experimental plants.
Figure 1—figure supplement 5.
Figure 1—figure supplement 5.. Setup for the collection of headspace volatile organic compounds (VOC) from flowers of Silene latifolia (left: side view, right: front view).
Flowers were inserted into VOC collection units (consisting of 50 mL PE cups with lids, both with 15 mm holes), which were fixed via wooden sticks at the plant pot exterior. Two polydimethylsiloxane (silicone) tubes of standardised size were inserted into the collection units and absorbed VOC for a period of 8 hr.
Figure 1—figure supplement 6.
Figure 1—figure supplement 6.. Setup for the acquisition of digital images for flower colour analyses.
The camera was fixed on a tripod positioned on an exact horizontal platform, which was oriented towards the setting sun (a) to take images of flowers in the visible light spectrum (b) and the ultraviolet light spectrum (c). Images included an intact and fully opened flower (i) that was carefully plugged into a black ethylene vinyl acetate sheet equipped with a label (ii), a size standard (iii), a 10% polytetrafluorethylene light standard (iv), and a 99% spectralon light standard (v).
Figure 1—figure supplement 7.
Figure 1—figure supplement 7.. Nectar analyses.
Nectar was extracted into 1 or 2 µL microcapillary tubes. The length of the nectar column was measured with a calliper to determine the exact volume. Nectar sugar content was analysed with a refractometer adjusted for small sample sizes.
Figure 1—figure supplement 8.
Figure 1—figure supplement 8.. Experimental setup for pollinator observations.
The plots consisted of eight individuals representing all eight populations within one of the eight possible breeding treatment × sex × range combinations. Each of these combinations was replicated five times on the maternal family level, resulting in 40 plots. Plots were spaced at a distance of 6 m to provide pollinators with the choice of visiting plants of specific breeding treatment × sex × range combinations.
Figure 2.
Figure 2.. Effects of breeding treatment, sex, and origin on spatial flower traits (a–d), floral scent traits (e–f), flower colour as perceived by crepuscular moths (g–h), and floral rewards in Silene latifolia.
Graphs show estimated marginal means and standard errors for outbred (Ou, filled bars) and inbred (In, open bars), female (Fe, red bars) and male (Ma, blue bars) plants from Europe (Eu, dark coloured bars) and the North America (Na, bright coloured bars). Estimates were extracted from (generalised) linear mixed effects models for significant interaction effects and main effects of factors not involved in an interaction (significance levels based on Wald χ² tests denoted at top of plot). Interaction effect plots additionally indicate significant differences among breeding treatments, sexes, or origins within levels of other factors involved in the respective interaction (estimated based on post hoc comparisons, denoted within plots). Exact sample sizes for all traits are listed in Table 1. Significance levels: ***p<0.001, **p<0.01, *p<0.05, •p<0.06.
Figure 2—figure supplement 1.
Figure 2—figure supplement 1.. Stacked bar plot illustrating the proportions of variance in floral trait responses explained by fixed effects (black) and the random effects of mother in the P-generation (dark grey), father in the P-generation (medium grey), and population (light grey), as well as the amount of unexplained variance, that is, residuals (white).
Please note that the amount of variation in response variables that is explained by fixed effects exceeds the amount of variance explained by the population random factor in 9 of 12 models.
Figure 2—figure supplement 2.
Figure 2—figure supplement 2.. Unsupervised random forest comparison MDS plots for floral headspace volatile organic compounds (VOC, left panel) and supervised random forest importance plots for mean decrease in accuracy (MDA, right panel) for all detected compounds (upper plots) and the subset for compounds that can be detected by Hadena bicruris (lower plots).
Patterns were compared for outbred (Ou, filled squared) and inbred (In, open squares), female (Fe, red) and male (Ma, blue) plants from Europe (Eu, dark coloured) and North America (Na, bright coloured). Each square represents one population, data within populations were averaged to improve clarity.
Figure 3.
Figure 3.. Effects of breeding treatment, sex, and origin on pollinator visitation rates in Silene latifolia.
Graphs show estimated marginal means and standard errors for outbred (Ou, filled bars) and inbred (In, open bars), female (Fe, red bars) and male (Ma, blue bars) plants from Europe (Eu, dark coloured bars) and North America (Us, bright coloured bars). Estimates were extracted for significant interaction effects from the conditional part of generalised linear mixed effects models (significance levels based on Wald χ² -tests denoted at top of plot). Plots additionally indicate significant differences between breeding treatments, sexes, or origins within levels of other factors involved in the respective interaction (estimated based on post -hoc comparisons, denoted within plots). Exact sample sizes for all traits are listed in Table 1. Significance levels: ***p<0.001, **p<0.01, and *p<0.05.
Figure 3—figure supplement 1.
Figure 3—figure supplement 1.. Estimated marginal means for zero scores in pollinator visitation responses (increasing values indicate higher proportion of zeroes in response data) and standard errors for outbred (Ou, filled bars) and inbred (In, open bars), female (Fe, red bars) and male (Ma, blue bars) plants from Europe (Eu, dark coloured bars) and North America (Us, bright coloured bars).
Estimates were extracted for significant interaction effects from the zero inflation part of generalised linear mixed effects models (significance levels based on Wald χ² tests denoted at top of plot). Plots additionally indicate significant differences between breeding treatments, sexes, or origins within levels of other factors involved in the respective interaction (estimated based on post hoc comparisons, denoted within plots). Exact sample sizes for all responses are listed in Table 1. Significance levels: ***p<0.001, **p<0.01, and *p<0.05.

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