The genetics of indirect ecological effects-plant parasites and aphid herbivores.

When parasitic plants and aphid herbivores share a host, both direct and indirect ecological effects (IEEs) can influence evolutionary processes. We used a hemiparasitic plant (Rhinanthus minor), a grass host (Hordeum vulgare) and a cereal aphid (Sitobion avenae) to investigate the genetics of IEEs between the aphid and the parasitic plant, and looked to see how these might affect or be influenced by the genetic diversity of the host plants. Survival of R. minor depended on the parasite's population of origin, the genotypes of the aphids sharing the host and the genetic diversity in the host plant community. Hence the indirect effects of the aphids on the parasitic plants depended on the genetic environment of the system. Here, we show that genetic variation can be important in determining the outcome of IEEs. Therefore, IEEs have the potential to influence evolutionary processes and the continuity of species interactions over time.

Introduction

Ecological communities comprise complex networks of interacting species that influence each other via many direct and indirect effects. In an ecological context, direct effects are those that one species exerts on another species with which it directly interacts: e.g., plant-herbivore interactions (Agrawal et al., 2006). Indirect ecological effects (IEEs) are mediated via a third species (Wootton, 1994): e.g., host plant effects on a predator mediated via the herbivorous prey (Astles et al., 2005). Both direct and indirect effects are thought to play important roles in evolutionary processes via the promotion or constraint of phenotypic evolution (Wootton, 1994), although specific evidence for this is limited (Strauss and Irwin, 2004).

Genetic diversity is the key ingredient linking ecological and evolutionary processes, and sufficient genetic diversity is required if ecological interactions (including IEEs) are to affect the evolution of phenotypes. The discipline of community genetics seeks to provide a framework that allows us to investigate the influence of intraspecific genetic variation in one, or more, species on the phenotype of other interacting species (Antonovics, 1992; Rowntree et al., 2011b). Work has shown that there is a genetic basis for many direct effects (e.g., Whitham et al., 2003; Johnson and Agrawal, 2005; Zytynska et al., 2011) and IEEs (e.g., Bailey et al., 2006; Johnson, 2008). We also know that variation in the response of a focal species to an indirect effect can have a genetic component (Astles et al., 2005), and that incorporation of genetic variation in more than one species in multi-trophic systems can change the direction and magnitude of an indirect effect, in terms of the fitness of the focal species (Tétard-Jones et al., 2007). Therefore, there is real potential for IEEs to influence evolutionary processes, but, the real impact of genetic variation in multiple components of a trophic system, incorporating direct and indirect effects, remains under-explored.

Infection by a parasitic plant can directly influence the success of a host plant by dramatically changing host biomass accumulation (Cameron et al., 2005). Genetically-based variation within host, parasitic plant or both, has the potential to change the outcome of the direct interaction in terms of host biomass or parasite size, biomass, and fecundity (Mutikainen et al., 2000; Ahonen et al., 2006; Rowntree et al., 2011a). Furthermore, genetic diversity in the host population can influence community level response to infection, with genetically impoverished host communities potentially being less resistant to the parasite (Spielman et al., 2004). Host and parasitic plants can also indirectly influence herbivores feeding on the other plant by either increasing (e.g., Ewald et al., 2011) or decreasing (e.g., Marvier, 1996) fitness. Where parasitic plants and herbivores share a host, the indirect effects of herbivores on the parasites have not often been recorded, and we do not know if such indirect effects have the potential to shape evolutionary processes.

We used the hemi-parasitic plant Rhinanthus minor, a grass host (Hordeum vulgare) and a cereal aphid (Sitobion avenae) to investigate the genetics of IEEs (subsequently GIEEs) from the aphids to the hemi-parasite. Specifically, we wanted to see if there was an interaction between aphid genotype and R. minor population that influenced the survival and reproductive success of the parasitic plant. Although R. minor is not a problem in agricultural systems due to modern management practices, it does commonly infect grasses and the Rhinanthus-Hordeum experimental system is well-established (Seel and Jeschke, 1999; Jiang et al., 2004). We also looked at how levels of genetic diversity within the host community might influence the interactions between hosts, parasites and herbivores. We incorporated genetically-based intra-specific variation in both the aphids and the parasitic plant, and used either genetically uniform or genetically diverse hosts. We asked: (1) if there are indirect effects of the aphids on the parasitic plants; (2) if there is a genetic basis to any indirect effects observed (i.e., if different genotypes of aphid differentially impact the parasitic plants); (3) if there is a genetic basis for the response of an organism to an indirect effect (i.e., if parasite populations vary in response to the aphids); (4) if the presence of genetic diversity within the host plant mediates any indirect effects observed. Our experiment was designed to investigate whether genetic variation in any of the component species of a tri-trophic system was important in defining the indirect interactions between aphid herbivores and parasitic plants competing indirectly for nutrients via a common host. It also enabled us to determine the relative importance of genetic variation within a species and genetic interactions among species on the survival, reproductive potential and biomass production of the plants.

Materials and methods

We obtained seeds of six doubled haploid barley (Hordeum vulgare L.) genotypes (Morex, Steptoe, Blenheim, Kym, Oregon Wolfe Dominant, Oregon Wolfe Recessive) from P. Hayes (Oregon State University, USA), which were bulked prior to use. We obtained seeds from two populations of Rhinanthus minor L.: the first originating in Somerset from Emorsgate Seeds (Kings Lynn, Norfolk, UK) and the second originating in Moray near Inverness from Scotia seeds (Brechin, Angus, UK). We obtained four cereal aphid (Sitobion avenae) genotypes (DAV95, CLO7, HF92a, H1) from Rothamstead Research, Harpenden, UK. Aphid genotypes were maintained and bulked on “pearl” barley to avoid conditioning effects. Two of the aphid genotypes were brown (HF92a, CLO7) and two were green (H1, DAV95) and we always paired one brown genotype with one green genotype to facilitate identification. This gave us a total of four aphid treatments (H1-HF92a; H1-CLO7; DAV95-HF92a; DAV95-CLO7).

We germinated barley seeds in the dark at 23°C and then transplanted them into pots (15 cm dia.) filled with horticultural sand (Keith Singleton Horticulture, Cumbria, UK). Barley seedlings were planted six to a pot and positioned in a circle around the edge. We used two diversity treatments: a genetically uniform treatment, where all six barley plants in a pot were the same genotype; and a genetically diverse treatment, where each barley plant was a different genotype. Genetically uniform pots were planted for each genotype and subsequent analyses combined all single genotype pots for the genetically uniform treatment. Treatments were randomly assigned to pots, as was position and genotype of the barley plants in the genetically diverse treatment.

We surface-sterilized R. minor seeds (1% v/v sodium hypochlorite solution, 3 min) and germinated them in the dark at 4°C (see Rowntree et al., 2011a for details). Rhinanthus minor is a generalist parasite with the propensity to attach to multiple hosts simultaneously (Gibson and Watkinson, 1989). Our aim was to start with three parasites successfully attached to one or more host plants. However, as not all seedlings are successful in attaching to a host we planted six R. minor seedlings (1–2 cm radicles) per pot. Parasite seedlings were planted in a circle in the center and positioned approximately 2 cm away from the barley plants. We used two populations of R. minor and a no R. minor control for each barley diversity and aphid-pair treatment. Plants were grown in a greenhouse (15–25°C) with supplementary lighting (16:8 photoperiod) and watered every day with ¼ strength Hoagland's solution (Hoagland and Arnon, 1950). The amount of nutrient solution added to the pots differed over time depending on the requirements of the plants, but was always consistent among pots on a single day. If the pots remained dry (i.e., if outside conditions were sunny and warm), we supplemented with water. In total, we planted 1230 germinated R. minor seeds in 205 pots and 1872 barley seedlings in 312 pots.

Two weeks after planting we counted all emerged seedlings of R. minor. Five weeks after planting we scored R. minor plants for morphological characteristics indicating host attachment and counted the number of attached plants (see Klaren and Janssen, 1978). At this point we reduced the number of R. minor to three per pot. We removed unattached plants preferentially and then chose which of the remaining individuals to remove randomly. Any pots without three attached R. minor were removed from the study leaving a total of 277 pots, 169 with R. minor. This gave us 8–12 pots per Rhinanthus-aphid combination in the genetically diverse treatment and 8–15 pots per Rhinanthus-aphid combination in the genetically uniform treatments.

Aphids were added 6 weeks after planting (±1 day). We put six fourth-instar or adult individuals of two aphid genotypes (one brown, one green) in a 6 cm petri dish (12 aphids per pot) and placed it open in the center of the pots. We used two aphid genotypes per replicate pot as one of the goals of the experiment was to investigate intraspecific competition among the aphids. These results have been previously reported (Zytynska et al., 2014) and are not included in our analysis here. We covered the plants and pots with fine mesh bags (Insectopia, Austrey, Warwickshire, UK) to ensure that aphids could not escape, but remained free to move among all plants within a treatment. Two weeks later (±1 day), after sufficient time to reproduce, we counted the numbers of each genotype of aphid on every plant in each pot. Finally, we removed the covers and all aphids from the plants by hand.

Thirteen weeks after planting, we counted the number of flowering R. minor individuals per pot to assess survival of potentially reproducing plants. We also counted the number of buds, flowers and seedpods (reproductive structures) per flowing plant and combined these as a measure of reproductive fitness. By the end of the experiment there were 95 pots in the R. minor treatment level containing a total of 206 flowering parasitic plants. Finally, we harvested each barley plant separately, dried them at 60°C for at least 2 days and measured shoot dry weight.

Data analysis

We analyzed survival and fitness of individual R. minor plants at a series of key life history stages: (1) between germination and seedling emergence (emergence data); (2) between emergence and attachment to a host (attachment data); (3) attachment through to production of flowers (flowering data); and (4) the total number of buds, flowers and seedpods produced (Figure 1). The number of plants at each life history stage depended on successful survival of the previous stage. Therefore, the number of plants naturally declines for subsequent analyses. We used generalized linear mixed models with a binary distribution, a logit link function and pot as a random factor to analyse the survival data. Rhinanthus minor population (Somerset or Inverness) and barley diversity (uniform or diverse) were fixed factors in the analyses of emergence and attachment data, and interactions were included in the model. Fixed factors in the analysis of flowering data were R. minor population, barley diversity, green aphid genotype (H1 or DAV95) and brown aphid genotype (HF92a or CLO7). The final total number of aphids for each pot was used as a covariate and all possible interactions were included in the model. We corrected for variation in the time for aphid reproduction (either 14 or 15 days) by dividing final total number of aphids by number of days for each pot. The total number of buds, flowers and seedpods produced by each R. minor plant that survived were analyzed using a single generalized linear mixed model with a negative binomial distribution, a log link function and pot as a random factor. Rhinanthus minor population, barley diversity, green aphid genotype and brown aphid genotype were included as fixed factors, total number of aphids (corrected as above) was used as a covariate and all possible interactions were included in the model.

Figure 1

Key life stages of Conditional survival rates during each life stage are shown and are dependent on successful survival of the previous life stage. Absolute survival rates are shown in brackets.

Prior to analysis, individual barley shoot dry weight data were square-root transformed. Q-Q plots of raw data, natural log transformed data and square root transformed data showed the latter to confirm best to normality. The shoot dry weight from individual barley plants was analyzed with a linear mixed model where pot was included as a random factor. Rhinanthus minor presence, barley diversity, green aphid genotype and brown aphid genotype were included as fixed factors, total number of aphids (corrected as above) and the final number of R. minor plants per pot were included as covariates. All possible interactions were included in the model. In order to test the effect of barley genotype on shoot dry weight, we subdivided the data by diversity treatment and reanalyzed using similar statistical models but replacing barley diversity with barley genotype. Data were split and reanalyzed as the experimental design did not allow us to incorporate genotype into the full model.

All analyses used the R statistical platform version 3.0.2 (R Core Team, 2013). Analyses of the survival and total bud, flower and seedpod data were performed using the glmmadmb function in the glmmADMB package (Fournier et al., 2012; Skaug et al., 2013). Analyses of the barley shoot dry weight was performed using the lmer function in the lme4 package (Bates et al., 2014). Significance values were calculated from Wald chi square tests using the Anova function in the car package (Fox and Weisberg, 2011). As part of the goal of the study was to uncover any potential interactions among treatments, we used a full model approach rather than a model simplification strategy (Crawley, 2012).

Results

Only 20% of germinated seeds survived to produce flowers. When we broke survival down by the different life stages (Figure 1), 70% emerged above ground to produce seedlings. Emergence was higher in the Inverness population at 76% compared to the Somerset population at 64%. There was a significant effect of R. minor population on emergence (X2 = 4.87, p = 0.03), but no effect of host diversity (X2 = 0.008, p = 0.93) and no effect of the interaction between R. minor population and host diversity (X2 = 0.55, p = 0.46; see Table 1 for survival rates and Tables S1a and S1b for more test details). Of the plants that emerged, 66% successfully attached to a host plant but there were no significant effects of either R. minor population (X2 = 0.01, p = 0.91) or host diversity (X2 = 3.23, p = 0.07) and no significant interaction between the two (X2 = 2.32, p = 0.13; see Table 2 for survival rates and Tables S2a and S2b for more test details).

Table 1

Percentage of germinated .

Diversity	R. minor population	Number Alive:Dead	% Germination
Uniform	Inverness	256:80	76
	Somerset	196:122	63
Diverse	Inverness	224:70	76
	Somerset	188:94	67

Values in bold are greater than the overall survival rate of 70%.

Table 2

Percentage of .

Diversity	R. minor population	Number Alive:Dead	% Attachment (conditional)	% Attachment (absolute)
Uniform	Inverness	187:69	73	55
	Somerset	124:72	63	40
Diverse	Inverness	145:79	65	49
	Somerset	122:66	65	44

Values in bold are greater than the overall conditional attachment rate of 66% and the overall absolute attachment rate of 46%.

Aphids were added between attachment and flowering of the R. minor (Figure 1) and although aphids were free to move around all plants within a pot, we only found aphids on the barley and did not find any on the R. minor plants themselves. Thus, any effects of the aphids on the R. minor were occurring indirectly via the host plants.

Subsequent R. minor survival until flowering was 43% overall but varied considerably across the treatment groups (Table 3). There was a significant four-way interaction between host diversity, R. minor population, green aphid genotypes and brown aphid genotypes (X2 = 4.20, p = 0.04; see Tables S3a and S3b for more test details), but no other significant effects. There were no significant effects of any of the factors tested on the number of R. minor seedpods (see Table 4 for median values and Tables S4a and S4b for more test details).

Table 3

Percentage of .

Diversity	R. minor population	Green aphid genotype	Brown aphid genotype	Number Alive: Dead	% Survival (conditional)	% Survival (absolute)
Uniform	Inverness	Dav95	CLO7	15:17	47	26
			HF92a	12:24	33	18
		H1	CLO7	21:24	47	26
			HF92a	14:22	39	21
	Somerset	Dav95	CLO7	21:11	66	26
			HF92a	7:16	30	12
		H1	CLO7	14:10	58	23
			HF92a	19:11	63	25
Diverse	Inverness	Dav95	CLO7	14:18	44	22
			HF92a	8:21	28	14
		H1	CLO7	8:25	24	12
			HF92a	15:21	42	21
	Somerset	Dav95	CLO7	11:22	33	15
			HF92a	19:11	36	16
		H1	CLO7	8:14	36	16
			HF92a	10:17	37	16

Values in bold are greater than the overall conditional survival rate of 43% and the overall absolute survival rate of 20%.

Table 4

Median numbers of buds, flowers, and seedpods produced by the .

Diversity	R. minor population	Green aphid genotype	Brown aphid genotype	Median	25/75th Quartiles
Uniform	Inverness	Dav95	CLO7	11.0	7.0/23.0
			HF92a	8.0	4.5/14.5
		H1	CLO7	13.0	7.0/20.0
			HF92a	8.0	4.25/22.5
	Somerset	Dav95	CLO7	15.0	12.0/19.0
			HF92a	16.0	8.0/21.5
		H1	CLO7	17.5	12.25/21.75
			HF92a	8.0	6.5/14.0
Diverse	Inverness	Dav95	CLO7	8.5	0.5/16.25
			HF92a	4.5	0.75/13.0
		H1	CLO7	14.0	10.0/16.75
			HF92a	12.0	6.5/22.0
	Somerset	Dav95	CLO7	12.0	4.0/19.0
			HF92a	12.0	7.5/21.0
		H1	CLO7	10.5	8.25/13.5
			HF92a	3.5	0.25/15.75

Numbers in bold are greater than the overall median value of 12.0 (6/40).

Barley shoot dry weight was significantly reduced by the presence of R. minor (X2 = 17.25, p < 0.0001) and there was a significant negative relationship between dry weight and the number of R. minor plants (X2 = 42.18, p < 0.0001). There was a significant positive relationship between dry weight and the total number of aphids in the pot (X2 = 184.60, < 0.0001) and also a significant effect of brown aphid genotype where genotype HF92a had a greater positive impact on dry weight than genotype CLO7 (X2 = 4.15, p = 0.04; see Tables S5a and S5b for more test details).

Analysis of barley genotype effects was only possible by dividing the data by host plant diversity treatment. In the uniform diversity treatment, all of the barley plants in a single pot were of the same genotype and therefore in these pots it was not possible for other barley genotypes to influence barley shoot biomass. In these pots, barley genotype (X2 = 74.07, p < 0.0001), brown aphid genotype (X2 = 5.79, p = 0.02), R. minor presence (X2 = 5.23, p = 0.02), the number of R. minor per pot (X2 = 33.43, < 0.0001) and total aphid number (X2 = 155.53, p < 0.0001) were significant factors affecting barley shoot dry weight and there was a significant interaction between barley genotype, green aphid genotype and brown aphid genotype (X2 = 12.49, p = 0.02).

In the diverse barley treatment, each barley plant in a pot was a different genotype. Therefore, barley shoot biomass could be influenced by competition among barley genotypes. In these pots, there was a significant effect of barley genotype (X2 = 504.51, p < 0.0001), R. minor presence (X2 = 21.54, p < 0.0001), the number of R. minor per pot (X2 = 17.73, p < 0.0001) and the total number of aphids (X2 = 90.65, p < 0.0001), but no effect of brown aphid genotype (X2 = 0.2774, p = 0.60) on barley shoot dry weight. There was, however, a significant interaction between barley genotype and brown aphid genotype (X2 = 22.77, p = 0.0004; see Tables S6 and S7 for more details).

Discussion

We collected data on the survival and reproductive fitness of the annual parasitic plant R. minor over four key life stages in the context of genetically variable multi-trophic species interactions. We found that the highest percentage of plants died post attachment and after addition of aphids to the host. Survival during this life stage was dependent on the genetic context of all species involved. Previously, we have demonstrated that aphid distribution across host plants is influenced by the presence of R. minor, and when present, by genetic diversity within the R. minor infecting the hosts (Zytynska et al., 2014). In this study we show that aphid genotype can have a reciprocal effect on the survival of the parasitic plant. Thus, our experimental system demonstrates that genetically-based feedbacks can occur (sensu Genung et al., 2011) between indirect competitors. Specifically, we show that the population of R. minor influences the distribution of aphid genotypes across the host plants, and that aphid genotypes, in combination with host genetic diversity, differentially influence the survival of individuals from two populations of R. minor.

We know from previous studies that genotype by genotype interactions can influence the direct interactions among species with important consequences for the outcome of, among other things, plant-herbivore (Tétard-Jones et al., 2007), host-parasite (Lambrechts et al., 2005; Salvaudon et al., 2005; Rowntree et al., 2011a), and plant-plant (Fridley et al., 2007) interactions. They also have the potential to influence the evolutionary and coevolutionary trajectories of the species involved (Thompson, 2013). Genetic variation within a focal species can also indirectly affect other species in the wider associated community (Fritz, 1995; Irwin, 2006; Johnson, 2008; Schädler et al., 2010) and determine how a particular species responds to an IEE (Astles et al., 2005). Previous studies have demonstrated indirect effects of herbivores on R. minor (Bass et al., 2010). However, to our knowledge, this is the first time that GIEEs have been shown to be an important factor determining the fitness of a parasitic plant. Moreover, in combination with our previous analysis we demonstrate that there are reciprocal GIEEs between the aphids and the parasitic plant (Zytynska et al., 2014). This means that GIEEs can play potentially important roles as selective agents in communities of interacting species (Ter Horst, 2010), and that there is potential for coevolution amongst indirectly interacting organisms.

We found similar levels of mortality for R. minor during the two initial life stages we examined (germination-emergence; emergence-host attachment). During these early life stages, only population of origin influenced R. minor survival, and then only during the first life stage. Population level differences do not necessarily indicate a genetic basis of an effect, because maternal and other non-additive effects cannot be excluded. However, when plants are grown in a common environment, population differences are a strong indicator of a genetic influence on the traits under investigation (Krebs, 2001), in this case, early survival of R. minor.

Aphids were added to the system following attachment of the parasitic plant to a host and prior to flowering. Mortality was far greater at this stage (attachment-flowering) compared to the two previous life history stages, suggesting that selection on R. minor was stronger post attachment to a host. This may indicate strong indirect competition with the aphid herbivores sharing the host plants, but we were unable to test for this directly, as we did not have treatments without aphids. Alternatively, mortality rates could have increased at this life stage due to the addition of the aphid mesh-cages to all of the pots. Previous work has demonstrated that R. minor is intolerant to shading and low light levels (Tesitel et al., 2011), which the aphid cages will have influenced. However, although shading was a confounding factor, it was consistent across treatments and does not explain the differential influence of the aphid genotypes on survival of the parasitic plant. Nor does it explain the decreased survival of R. minor with increasing host genetic diversity. Rather, this indicates that higher levels of genetic diversity in the host plants likely confer host community resistance to infection by the parasitic plant (cf. Spielman et al., 2004; Kaunisto and Suhonen, 2013).

The high levels of mortality following attachment of the parasite to a host plant and prior to flowering were unexpected, as successful host attachment should facilitate survival of the parasitic plant. The most common measures of fitness of R. minor in previous studies have been size, biomass or flower and seed production (Cameron et al., 2006; Rowntree et al., 2011a; Tesitel et al., 2011), and mortality rates of individuals are rarely reported. We found no effect of any of the factors tested on the combined production of buds, flowers and seedpods and, in fact, the majority of plants died before they were able to set seed. Although seed set must be the ultimate measure of reproductive success for an individual, we suggest that as single measures, the above traits are rather poor indicators of fitness in R. minor and that survival is also crucial to monitor. If, as is indicated here, there is differential survival of plant genotypes prior to flowering and seed set, then there is potential for GIEEs to result in diverging levels of fitness, despite the lack of difference observed in seedpod production.

Host plant shoot biomass was most strongly influenced by the level of infection by both the parasitic plant and the aphid herbivores, although we also detected an effect of the brown aphid genotype. Previously, we have found genetically based variation within both R. minor and the aphid S. avenae to influence host plant traits (Tétard-Jones et al., 2007; Rowntree et al., 2011a), although not in combination with each other. Much of our earlier work has demonstrated that the outcome of complex species interactions cannot be predicted by more simplistic interactions among pairs of components (Tétard-Jones et al., 2007; Zytynska et al., 2010) and we reach a similar conclusion here. We also found no evidence that the GIEEs between the aphids and the R. minor had any impact on the host plants themselves. Rather, genotype by genotype interactions between the barley and the aphid herbivores had a greater impact on barley shoot biomass.

When biomass data from the diverse barley treatments were analyzed separately, we found a strong effect of barley genotype as well as the level of infection by the aphids and R. minor. There were also higher order interactions between aphid and barley genotypes. This suggests that in a diverse genetic population of hosts, interactions between individual genotypes and interacting species may depend on the genotypes of neighboring hosts. Mutic and Wolf (2007) demonstrated the importance of neighbor genotype on multiple plant traits, including growth, and here we show that interactions among neighbor genotypes of plants have the potential to change the genetic interactions between a host plant and its aphid herbivores.

Our experiments include multiple genotypes and populations of multiple species, resulting in complex statistical models with many terms. As our intention was to test for, and identify, significant interactions we have not used a model simplification approach in our analyses (Crawley, 2012). In addition, we have used mixed models for hypothesis testing. This approach comes with the caveat that individual higher order interactions must be interpreted with caution. However, it is notable that our main finding that R. minor fitness is influenced by a higher order interaction between R. minor population, aphids and host genotype mirrors the results of Zytynska et al. (2014) where aphids were also influenced by these same higher order interactions.

In conclusion, we show that GIEEs of aphid herbivores on parasitic plants have the potential to influence community structure by affecting plant survival rates. Our work further demonstrates, and supports the findings of previous studies showing the importance of the genetic background of an ecological community on the performance of component species (Fridley et al., 2007; Whitlock et al., 2007, 2010). The value of within-species genetic variation on community and ecosystem processes is still largely unknown in systems without a single dominant long-lived plant (e.g., Whitham et al., 2006; Barbour et al., 2009). We show that variation within shorter-lived plants can influence the current community, and that effects on survival and reproduction could indeed impact the future generations and thus evolution in ecological communities.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.