TY - JOUR
AU - Potts, Simon G.
AB - Abstract Climate change can threaten the reproductive success of plants, both directly, through physiological damage during increasingly extreme weather events, and indirectly, through disruption of plant–pollinator interactions. To explore how plant–pollinator interactions are modified by extreme weather, we exposed faba bean (Vicia faba) plants to elevated temperature for 5 d during flowering, simulating a heatwave. We then moved the plants to flight cages with either bumblebees or no pollinators, or to two field sites, where plants were enclosed in mesh bags or pollinated by wild insect communities. We used a morphological marker to quantify pollen movement between experimental plants. There was a substantial increase in the level of outcrossing by insect pollinators following heat stress. Proportion outcrossed seed increased from 17 % at control temperature, to 33 % following heat stress in the flight cages, and from 31 % to 80 % at one field site, but not at the other (33 % to 32 %). Abiotic stress can dramatically shift the relative contributions of cross- and self-pollination to reproduction in an insect pollinated plant. The resulting increases in gene flow have broad implications for genetic diversity and functioning of ecosystems, and may increase resilience by accelerating the selection of more stress-tolerant genotypes. Allogamy, autogamy, climate change, extreme weather, heat stress, insect pollination, plant–climate interactions, plant–pollinator interactions, Vicia faba. Introduction Climate change and associated extreme weather events can threaten plant reproductive success directly, through physiological damage at key development stages (Porter et al., 2014), and indirectly, through disruption of plant–pollinator interactions (Settele et al., 2016). An estimated 88% of all flowering plant species (Ollerton et al., 2011) rely to some extent on pollination by an animal vector. Recent changes in climate have already caused distribution shifts in insect pollinator species (Kerr et al., 2015) and this is projected to continue into the future (Rasmont et al., 2015). This has the potential to cause widespread disruptions of plant–pollinator interactions, as, for instance, plants and their pollinators become mismatched in time and space due to their different responses to warming (Hegland et al., 2009; Giannini et al., 2013; Polce et al., 2014). Climate change could therefore threaten genetic diversity and functioning in natural ecosystems (Eckert et al., 2010; Gómez et al., 2011; Vanbergen et al., 2014), and could exacerbate existing pressures facing the insect-pollinated crops that make up around a third of our diet (Klein et al., 2007). Climate change encompasses not only gradual increases in global average temperature, but also increases in the frequency, severity, and duration of extreme weather events (Hansen et al., 2012; Seneviratne et al., 2012). Very little is known about the effects of these extreme weather events such as heat waves on the animal pollination of plants. This is surprising as heat waves (and resulting heat stress) in particular are expected to limit the future increases in food production (Deryng et al., 2014) that are required to feed a growing global population (Godfray et al., 2010). Some plant species are known to produce closed, obligate self-pollinating (cleistogamous) flowers when subjected to abiotic stress (Culley and Klooster, 2007). This reproductive strategy may provide some reproductive assurance; closed flowers may have lower internal temperatures than open flowers, providing developing gametophytes with some protection under moderate stress (e.g. in rice; Koike et al., 2015), and seed production is then less dependent on the presence of insect pollinators (e.g. in wild petunia; Munguía-Rosas et al., 2012). In contrast to this strategy, we recently demonstrated that heat stress can make reproduction in faba bean (Vicia faba L.), a mixed-mating legume, dramatically more dependent upon insect pollination (Bishop et al., 2016a). Fertilization in faba bean occurs through a combination of three mechanisms; in complete absence of insect pollinators (autofertility); requiring an insect to disrupt a physical barrier between the stigma and anthers (tripping; Kambal et al., 1976); or through outcrossing. The mechanistic basis of our observed change in plant–pollinator interaction is unknown, but it is probably due to a deficiency in self pollen being compensated by an increase in outcrossed pollen. Pollen is typically more sensitive to stress than female gametes during development; hand pollination experiments in common bean (Gross and Kigel, 1994), oilseed rape (Young et al., 2004), tomato (Peet et al., 1998), and wheat (Saini and Aspinall, 1982; Briggs et al., 1999) have demonstrated that while flowers may be unable to self-pollinate following stress, they can remain capable of reproduction if provided with fertile pollen (Table 1). Table 1. Summary of experiments that have made crosses of pollen by hand between heat-stressed (HS) and control (C) plants HS outcrossing refers to a HS plant that has received C pollen. Selfing here refers either to a plant allowed to self-pollinate, or to the transfer of pollen between plants of the same temperature treatment. Effect sizes given are the percentage of total flowers setting seed, and are not relative to a control treatment. Studies marked with an asterisk used emasculated or male-sterile lines as the pollen recipient. Study . Species . Timing of stress . Cross . Seed set (%) . Peet et al. (1998)* Tomato (Solanum lycopersicum) Floral development until maturity C selfing HS selfing HS outcrossing 100 0 73 Young et al. (2004)* Oilseed rape (Brassica napus) Anthesis C selfing HS selfing HS outcrossing 79 8 68 Gross and Kigel (1994) Common bean (Phaseolus vulgaris) Sporogenesis HS selfing HS outcrossing 0 81 Anthesis and early pod development HS selfing HS outcrossing 31 31 Saini and Aspinall (1982)* Wheat (Triticum aestivum) Sporogenesis C selfing HS selfing HS outcrossing 89 42 58 Briggs et al. (1999) Wheat Moisture stress (MS) from early booting throughout anthesis. C selfing MS selfing MS outcrossing 76 9 48 Study . Species . Timing of stress . Cross . Seed set (%) . Peet et al. (1998)* Tomato (Solanum lycopersicum) Floral development until maturity C selfing HS selfing HS outcrossing 100 0 73 Young et al. (2004)* Oilseed rape (Brassica napus) Anthesis C selfing HS selfing HS outcrossing 79 8 68 Gross and Kigel (1994) Common bean (Phaseolus vulgaris) Sporogenesis HS selfing HS outcrossing 0 81 Anthesis and early pod development HS selfing HS outcrossing 31 31 Saini and Aspinall (1982)* Wheat (Triticum aestivum) Sporogenesis C selfing HS selfing HS outcrossing 89 42 58 Briggs et al. (1999) Wheat Moisture stress (MS) from early booting throughout anthesis. C selfing MS selfing MS outcrossing 76 9 48 Open in new tab Table 1. Summary of experiments that have made crosses of pollen by hand between heat-stressed (HS) and control (C) plants HS outcrossing refers to a HS plant that has received C pollen. Selfing here refers either to a plant allowed to self-pollinate, or to the transfer of pollen between plants of the same temperature treatment. Effect sizes given are the percentage of total flowers setting seed, and are not relative to a control treatment. Studies marked with an asterisk used emasculated or male-sterile lines as the pollen recipient. Study . Species . Timing of stress . Cross . Seed set (%) . Peet et al. (1998)* Tomato (Solanum lycopersicum) Floral development until maturity C selfing HS selfing HS outcrossing 100 0 73 Young et al. (2004)* Oilseed rape (Brassica napus) Anthesis C selfing HS selfing HS outcrossing 79 8 68 Gross and Kigel (1994) Common bean (Phaseolus vulgaris) Sporogenesis HS selfing HS outcrossing 0 81 Anthesis and early pod development HS selfing HS outcrossing 31 31 Saini and Aspinall (1982)* Wheat (Triticum aestivum) Sporogenesis C selfing HS selfing HS outcrossing 89 42 58 Briggs et al. (1999) Wheat Moisture stress (MS) from early booting throughout anthesis. C selfing MS selfing MS outcrossing 76 9 48 Study . Species . Timing of stress . Cross . Seed set (%) . Peet et al. (1998)* Tomato (Solanum lycopersicum) Floral development until maturity C selfing HS selfing HS outcrossing 100 0 73 Young et al. (2004)* Oilseed rape (Brassica napus) Anthesis C selfing HS selfing HS outcrossing 79 8 68 Gross and Kigel (1994) Common bean (Phaseolus vulgaris) Sporogenesis HS selfing HS outcrossing 0 81 Anthesis and early pod development HS selfing HS outcrossing 31 31 Saini and Aspinall (1982)* Wheat (Triticum aestivum) Sporogenesis C selfing HS selfing HS outcrossing 89 42 58 Briggs et al. (1999) Wheat Moisture stress (MS) from early booting throughout anthesis. C selfing MS selfing MS outcrossing 76 9 48 Open in new tab In this study, we investigated changes in the outcrossing level and reproductive success of faba bean in response to heat stress and insect pollination treatments. We exposed experimental plants to heat stress for a 5 d period during flowering, then immediately exposed the plants to insect pollination at two field sites with wild insect pollinator communities, or with domesticated bumblebees in a tightly controlled flight cage experiment. Temperature treatments were designed to simulate heat stress events that are likely to become a common occurrence during the summer months in Europe by 2050 (Fischer and Schär, 2010), particularly if co-occurring with reduced soil moisture that can lower the temperature threshold at which plants experience heat stress (Lobell et al., 2011). We identified changes in outcrossing level using hilum colour (a scar left on each bean by the stalk that attached it to the pod wall) as a phenotypic marker which is controlled by a single genetic locus in which the black allele is dominant over the white (Gasim et al., 2004). We hypothesized that outcrossing by insect pollinators would increase following heat stress, and correspond to enhanced reproductive resilience to stress. Materials and methods Cultivars and growing conditions The experimental cultivar, Wizard, was homozygous recessive, resulting in a white hilum, and the non-stressed pollen donor cultivar, Buzz, was homozygous dominant, resulting in a black hilum. Both cultivars have the same flower morphology and are UK commercial cultivars (Wherry & Sons Ltd). We could identify any experimental Wizard progeny that produced black hilum beans as the result of an insect pollinator transferring pollen from a Buzz plant (e.g. intervarietal outcrossing). It was, however, not possible to identify changes in pollen movement between flowers on the same plant, or between experimental Wizard plants. For this reason, while reliably comparing between treatments our method will have underestimated total levels of outcrossing (Suso et al., 2001) as it was not possible to differentiate between experimental progeny sired by self-pollen, or pollen from other Wizard plants (e.g. selfing versus intravarietal outcrossing). Thus, for the purposes of this paper, selfing refers to within-flower self-pollination (through either autofertility or tripping), pollination between flowers on the same Wizard plant, and between-Wizard pollination, while outcrossing refers to only between-cultivar cross-pollination. Initial growing conditions for experimental plants were similar for both the field and flight cage experiments. Plants were grown at the Plant Environment Laboratory (now relocated to the Crop and Environment Laboratory), University of Reading, UK (51 27'N lat, 00 56'W long) in plastic pots (180 mm diameter; 4 litre volume) containing vermiculite, gravel, sand, and compost at a ratio of 4:4:2:1, mixed with 2 kg m−3 Osmocote slow-release granules (LBS Horticulture). Three seeds were sown per pot on 29 January 2014 for the cage experiment and on 24 March 2014 for the field experiment, and thinned to one plant per pot when three leaf-pairs were unfolded. Plants were randomly assigned to temperature and pollination treatments in both experiments and maintained in a fully enclosed polytunnel until four leaf-pairs had unfolded on the majority of plants, at which point they were randomly distributed in a holding cage. Plants were watered at least daily, either by automatic drip irrigation (cage experiment) or by hand-watering twice daily (during the field pollination treatment) to maintain field capacity throughout experiments. Temperature treatments We exposed the experimental Wizard plants to either heat stress (30/24 °C; day/night temperature, 16 h photoperiod) or control (20/14 °C; same photoperiod) temperature treatments for 5 d during floral development and anthesis using four 1.37 × 1.47 m Saxcil controlled-environment chambers. Treatments began on 16 May 2014 and 22 June 2014 for the cage and field experiment, respectively. We used two replicate cabinets for each temperature treatment in each experiment. We randomized the use of different cabinets among temperature treatments across experiments. Light levels were maintained at 650 µmol m−2 s−1, carbon dioxide at 385 mg l−1, and relative humidity at 85 ± 20% (flight cage experiment) and 90 ± 20% (field experiment). Drip irrigation was applied once (control) or twice (heat stress) daily during temperature treatments to maintain field capacity evenly in both treatments and avoid interactions between heat and drought stress. No temperature treatments were applied to the pollen-donor Buzz plants in either experiment. Following temperature treatments, plants were immediately transferred to the pollination treatments in flight cages or in the field. Pollination treatments Cage experiment There were two main pollination treatments, insect pollination and pollinator exclusion. An additional subset of plants were hand-tripped (see below). We used 10 flight cages in total, located outside at the Plant Environment Laboratory. Each flight cage measured 2.5 × 2.5 × 2 m and was built from 1.33 mm aperture polyethylene mesh suspended inside a metal frame. The insect pollination treatment consisted of five cages containing commercially produced colonies of Bombus terrestris audax colonies, positioned centrally. While B. terrestris is known to exhibit nectar robbing in faba bean, it was the only commercially available bumblebee, and is an effective pollinator of faba bean in flight cage experiments (Garratt et al., 2014; Bishop et al., 2016a). The exclusion treatment consisted of five cages that did not contain bumblebee colonies. In each cage, plants were arranged randomly within concentric circles of 10 Buzz plants, 16 Wizard plants, and 22 Buzz plants to ensure that each Wizard plant was adjacent to the same number of pollen-donor Buzz plants. Pollination treatments began after heat stress on 21 May 2014, bumblebee colonies were later removed at the end of flowering, and plants were retained in flight cages until senescence. Hand-tripping treatments were conducted on four plants in each cage (one plant from each cabinet) in addition to the main treatments. They were designed to measure any differences in reproduction between floral visitation with no pollen transfer (selfing via tripping), and floral visitation with the potential for outcrossed pollen transfer (a bee visit). All open flowers on these plants were manually tripped every 3 d during flowering. Pollination treatments - Field experiment There were two pollination treatments in the field experiment, open pollination, or bagging to exclude insect pollinators. Following the heat stress treatment, on 27 June 2014, experimental plants were distributed in 16 blocks of eight plants (two plants each from four cabinets, of which one plant was bagged and one open; these blocks are indicated with numbers in Fig. 1) within a field of Buzz plants at two sites ~6 km apart (Sonning: 51 48'N, 00 89'E; and Harborne: 51 44'N, 00 94'E). Pollinator exclusion bags were constructed from 1.33 mm aperture mesh that was rolled and stapled to form cylinders ~1 m long that were sealed with cable ties at each end. These bags were moved up the plants periodically to cover all open flowers. Two experiments to investigate the effect of bagging on plant performance did not find a negative impact (Table 2). At the Harborne site there were no flowering faba bean plants in the vicinity (~3 km). At the Sonning site, a 0.05 ha field of the white hilum faba bean cultivar, Fuego, was flowering ~0.2 km away. As maximum foraging ranges of four common bumblebee species have been estimated to be 0.7 km (Knight et al., 2005), sites were assumed to be sufficiently far apart to measure independent pollinator communities. The experimental plants remained at the field sites until 16 July 2014 when they had finished flowering. They were then moved to pollinator exclusion cages at the Plant Environment Laboratory to be protected from pests and automatically irrigated. Table 2. Controls for pollination bagging treatments in the field experiment F- and P-values are from one-way ANOVAs (yield parameter~bagging treatment). Plant pots in both pollination treatments (bagged and open) had 25 mm holes in their base, through which a cane was driven into the ground. Two 200 mm plant support rings were fitted onto each cane, over which exclusion bags were fitted, or plants were left uncovered for open pollination. For the hand-pollination controls, only results of maximally hand-pollinated nodes were included in mean estimation, three plants were excluded as they had no flowers suitable for hand-pollination. Control method . Yield parameter . Mean ±SE . n . ANOVA test . Open . Bagged . F-value . P-value . Plants either open or bagged within a pollinator exclusion cage measuring 2.5 × 2.5 × 2 m for duration of field pollination treatment. Yield mass (g) per plant 6.7 ± 1.5 8.9 ± 1.4 32 1.088 0.305 Bean number per plant 12.2 ± 2.8 13.6 ± 2.6 32 0.129 0.721 Harvest index per plant 0.64 ± 0.14 0.77 ± 0.11 32 0.582 0.451 Randomized block of eight open and eight bagged control plants at each field site for duration of field pollination treatment. Subset of open flowers hand-pollinated with Buzz pollen on two separate occasions for each flower. Yield mass (g) per node per plant 1.7 ± 0.3 2.5 ± 0.6 29 1.339 0.257 Bean number per node per plant 4.2 ± 0.7 4.5 ± 1.0 29 0.038 0.846 Control method . Yield parameter . Mean ±SE . n . ANOVA test . Open . Bagged . F-value . P-value . Plants either open or bagged within a pollinator exclusion cage measuring 2.5 × 2.5 × 2 m for duration of field pollination treatment. Yield mass (g) per plant 6.7 ± 1.5 8.9 ± 1.4 32 1.088 0.305 Bean number per plant 12.2 ± 2.8 13.6 ± 2.6 32 0.129 0.721 Harvest index per plant 0.64 ± 0.14 0.77 ± 0.11 32 0.582 0.451 Randomized block of eight open and eight bagged control plants at each field site for duration of field pollination treatment. Subset of open flowers hand-pollinated with Buzz pollen on two separate occasions for each flower. Yield mass (g) per node per plant 1.7 ± 0.3 2.5 ± 0.6 29 1.339 0.257 Bean number per node per plant 4.2 ± 0.7 4.5 ± 1.0 29 0.038 0.846 Open in new tab Table 2. Controls for pollination bagging treatments in the field experiment F- and P-values are from one-way ANOVAs (yield parameter~bagging treatment). Plant pots in both pollination treatments (bagged and open) had 25 mm holes in their base, through which a cane was driven into the ground. Two 200 mm plant support rings were fitted onto each cane, over which exclusion bags were fitted, or plants were left uncovered for open pollination. For the hand-pollination controls, only results of maximally hand-pollinated nodes were included in mean estimation, three plants were excluded as they had no flowers suitable for hand-pollination. Control method . Yield parameter . Mean ±SE . n . ANOVA test . Open . Bagged . F-value . P-value . Plants either open or bagged within a pollinator exclusion cage measuring 2.5 × 2.5 × 2 m for duration of field pollination treatment. Yield mass (g) per plant 6.7 ± 1.5 8.9 ± 1.4 32 1.088 0.305 Bean number per plant 12.2 ± 2.8 13.6 ± 2.6 32 0.129 0.721 Harvest index per plant 0.64 ± 0.14 0.77 ± 0.11 32 0.582 0.451 Randomized block of eight open and eight bagged control plants at each field site for duration of field pollination treatment. Subset of open flowers hand-pollinated with Buzz pollen on two separate occasions for each flower. Yield mass (g) per node per plant 1.7 ± 0.3 2.5 ± 0.6 29 1.339 0.257 Bean number per node per plant 4.2 ± 0.7 4.5 ± 1.0 29 0.038 0.846 Control method . Yield parameter . Mean ±SE . n . ANOVA test . Open . Bagged . F-value . P-value . Plants either open or bagged within a pollinator exclusion cage measuring 2.5 × 2.5 × 2 m for duration of field pollination treatment. Yield mass (g) per plant 6.7 ± 1.5 8.9 ± 1.4 32 1.088 0.305 Bean number per plant 12.2 ± 2.8 13.6 ± 2.6 32 0.129 0.721 Harvest index per plant 0.64 ± 0.14 0.77 ± 0.11 32 0.582 0.451 Randomized block of eight open and eight bagged control plants at each field site for duration of field pollination treatment. Subset of open flowers hand-pollinated with Buzz pollen on two separate occasions for each flower. Yield mass (g) per node per plant 1.7 ± 0.3 2.5 ± 0.6 29 1.339 0.257 Bean number per node per plant 4.2 ± 0.7 4.5 ± 1.0 29 0.038 0.846 Open in new tab Agronomic treatments and insect pollinator sampling In the field experiment, we also trialled the use of floral strips as a representative management intervention to enhance insect pollination service to faba bean. Floral strips have been shown to enhance insect pollination in several crops (Garibaldi et al., 2014). We sowed strips of annual flowering plants adjacent to bean-growing areas that synchronzed with the faba bean crop in terms of sowing and flowering time. Four large field plots (indicated as letters in Fig. 1) per site consisted of two strips of Buzz plants (blocks; numbers in Fig. 1) sown at a density of 36 plants m–2 each side of a management strip, which was either a grass sward mown prior to pollination treatments (to represent conventional field edge management), or a mixture of flowering annuals that consisted of crimson clover, corn cockle, cornflower, corn marigold, field poppy, and alsike clover at a ratio of 20:9:3:3:3:2 (Cotswold Seeds Ltd). Large field plots were separated by a buffer of spring wheat at least 2.5 m wide. Fig. 1. Open in new tabDownload slide Field plot design. Numbers indicate independent blocks for assessing effect of heat stress and bagging on faba bean yield. Letters indicate independent replicates for management comparisons. Fig. 1. Open in new tabDownload slide Field plot design. Numbers indicate independent blocks for assessing effect of heat stress and bagging on faba bean yield. Letters indicate independent replicates for management comparisons. We assessed insect pollinator density and diversity at each field block using 15 min transect walks (e.g. Dafni et al., 2005), which were performed on 4 d during faba bean flowering. Pollinators in a 2 m area in front of and to the side of the observer were identified as honey-bees, solitary bees, or to a bumble-bee morphological group (Bombus terrestris/lucorum; B. pascuorum; B. lapidarius, B. hortorum; B. hypnorum; B. pratorum). While presented pollinator species counts therefore probably under-represent the actual number of species, they act as a useful comparison between sites and management treatments. Data collection The number and mass of seeds produced by each experimental Wizard plant in 2014 were assessed at senescence. Only seeds from stems present prior to stress were counted, as some plants in the field experiment produced additional stems that grew outside of the exclusion bags. Plants were harvested individually, and seed pods were air-dried at room temperature for 2 weeks until constant mass, before recording seed number and mass per plant. High temperature oven drying was not possible as it was necessary to sow experimental progeny to determine their paternity. The moisture content of eight random samples from different treatments was determined using a moisture analyser (model AP6060; Sinar Technologies) and found to have a mean of 12.4% and range of 0.6%. Wizard progeny from both experiments were sown in 2015 to determine the number of plants that produced seeds with either black or white hila. Only seeds from stems that were present prior to stress were sown. Progeny of plants in the flight cage pollination treatments (160 parents, n=4097) were drilled in 40 plots (corresponding to four cabinets×10 flight cages); with progeny being randomly sampled using a riffle divider if they exceeded 120 per plot. Progeny of plants in the field experiment (128 parents, n=2038) were hand-sown, and mapped such that the progeny of each experimental plant could be identified. Each plant was examined individually for hilum colour, rather than at bulk harvest, to avoid potential heterotic effects caused by ‘outcrossed’ progeny producing a greater number of seeds (Suso et al., 1995). Statistical analysis Parameters were analysed using R statistical software (version 3.2.2, R Core Team, 2015). Generalized linear, and linear mixed effects models were used to address the repeated measures at the level of the plants, per cage, cabinet, or field block, using the lme4 package (Supplementary Table S1 at JXB online; Bates et al., 2014). Data at the level of the plant were analysed, with the exceptions of (i) the cage outcrossing variable which was analysed using data specific to a cage×cabinet combination (four cabinets×five pollination cages=20 combinations) and (ii) insect pollinator sampling which was analysed using averages for each block, with mainplot as a random effect, because management treatments were at the mainplot scale. Counts of seeds were analysed using models with a negative binomial error distribution. The response variable in outcrossing analyses was a two-column matrix combining counts of black hilum and white hilum progeny (successes and failures, respectively). Only counts from insect-pollinated plants were included in the final cross-pollination analyses for simplicity; negligible levels of black hilum progeny were recorded from plants grown in exclusion from insect pollinators and were deemed to be accidental from individual bees gaining access to the enclosures, or impurity in the Wizard seed. Maximal models were simplified by single term deletions tested with likelihood ratio tests (Shmueli, 2010); terms were dropped if P >0.05 (Supplementary Table S1). Residuals were checked for normality and heteroscedasticity, and Poisson or binominal models were checked for overdispersion. Effect sizes provided in the text are model estimates unless otherwise stated (and are calculated as an average across all random effect levels). Results Outcrossing The proportion of progeny resulting from outcrossing by insect pollinators increased significantly with heat stress in both the flight cage and field experiments. In the flight cage experiment (Fig. 2A), 16.9% of experimental progeny were outcrossed at control temperature, which increased to 32.8% from heat stress-reated plants (P < 0.001). Fig. 2. Open in new tabDownload slide Proportion of outcrossed progeny in flight cage (A) and field (B) experiments. Flight cage data were grouped for each flight cage and cabinet combination (40 data points) while presented field experiment data are at the individual plant level. Fig. 2. Open in new tabDownload slide Proportion of outcrossed progeny in flight cage (A) and field (B) experiments. Flight cage data were grouped for each flight cage and cabinet combination (40 data points) while presented field experiment data are at the individual plant level. On average, outcrossing in the field experiment (Fig. 2B) also increased under stress, from 31.8% at control temperature to 55.9% after a 5 d period of heat stress. However, a significant interaction between site and temperature treatment was found (P=0.002), with an increase in outcrossing only occurring at the Harborne field site (from 30.7% to 79.9% at Harborne, from 32.9% to 31.9% at Sonning). The outcrossing level did not vary in response to floral strips adjacent to faba bean plots (Table 3). Table 3. Effects of floral strips adjacent to cropping areas on pollinator density and diversity, and on outcrossing level of faba bean Site . Management type . Pollinator density . Pollinator species count . Proportion outcrossed progeny . Control . Stress . Sonning Floral strip 1.25 ± 0.96 1.13 ± 0.85 0.35 ± 0.18 0.38 ± 0.28 Grass strip 1.42 ± 0.50 1.21 ± 0.25 0.35 ± 0.27 0.33 ± 0.06 Harborne Floral strip 1.46 ± 0.63 1.38 ± 0.48 0.34 ± 0.05 0.75 ± 0.29 Grass strip 1.54 ± 1.13 1.21 ± 0.98 0.32 ± 0.11 0.68 ± 0.13 Model parameter Site P=0.651 P=0.684 – Management P=0.733 P=0.892 P=0.453 Temp – – – Site:management P=0.909 P=0.682 P=0.936 Temp:management – – P=0.737 Site . Management type . Pollinator density . Pollinator species count . Proportion outcrossed progeny . Control . Stress . Sonning Floral strip 1.25 ± 0.96 1.13 ± 0.85 0.35 ± 0.18 0.38 ± 0.28 Grass strip 1.42 ± 0.50 1.21 ± 0.25 0.35 ± 0.27 0.33 ± 0.06 Harborne Floral strip 1.46 ± 0.63 1.38 ± 0.48 0.34 ± 0.05 0.75 ± 0.29 Grass strip 1.54 ± 1.13 1.21 ± 0.98 0.32 ± 0.11 0.68 ± 0.13 Model parameter Site P=0.651 P=0.684 – Management P=0.733 P=0.892 P=0.453 Temp – – – Site:management P=0.909 P=0.682 P=0.936 Temp:management – – P=0.737 Presented values are the observed mean ± SD, and P-values are from likelihood ratio tests (see Supplementary Table S1 for more information). Presented outcrossing data are from unbagged plants only. Lower level interactions and individual parameters are not included if in a higher level interaction. Open in new tab Table 3. Effects of floral strips adjacent to cropping areas on pollinator density and diversity, and on outcrossing level of faba bean Site . Management type . Pollinator density . Pollinator species count . Proportion outcrossed progeny . Control . Stress . Sonning Floral strip 1.25 ± 0.96 1.13 ± 0.85 0.35 ± 0.18 0.38 ± 0.28 Grass strip 1.42 ± 0.50 1.21 ± 0.25 0.35 ± 0.27 0.33 ± 0.06 Harborne Floral strip 1.46 ± 0.63 1.38 ± 0.48 0.34 ± 0.05 0.75 ± 0.29 Grass strip 1.54 ± 1.13 1.21 ± 0.98 0.32 ± 0.11 0.68 ± 0.13 Model parameter Site P=0.651 P=0.684 – Management P=0.733 P=0.892 P=0.453 Temp – – – Site:management P=0.909 P=0.682 P=0.936 Temp:management – – P=0.737 Site . Management type . Pollinator density . Pollinator species count . Proportion outcrossed progeny . Control . Stress . Sonning Floral strip 1.25 ± 0.96 1.13 ± 0.85 0.35 ± 0.18 0.38 ± 0.28 Grass strip 1.42 ± 0.50 1.21 ± 0.25 0.35 ± 0.27 0.33 ± 0.06 Harborne Floral strip 1.46 ± 0.63 1.38 ± 0.48 0.34 ± 0.05 0.75 ± 0.29 Grass strip 1.54 ± 1.13 1.21 ± 0.98 0.32 ± 0.11 0.68 ± 0.13 Model parameter Site P=0.651 P=0.684 – Management P=0.733 P=0.892 P=0.453 Temp – – – Site:management P=0.909 P=0.682 P=0.936 Temp:management – – P=0.737 Presented values are the observed mean ± SD, and P-values are from likelihood ratio tests (see Supplementary Table S1 for more information). Presented outcrossing data are from unbagged plants only. Lower level interactions and individual parameters are not included if in a higher level interaction. Open in new tab Reproductive success Overall, insect-pollinated plants produced a greater number and mass of seeds than excluded plants in the flight cage experiment, and at one site in the field experiment. Seed number and seed mass results are presented in Table 4. Open pollinated plants lost fewer seeds after a 5 d period of heat stress than bagged plants at both field experiment sites. Heat stress reduced seed number equally in both pollinated and excluded plants in the flight cage experiment. Table 4. Effects of pollination and temperature treatments on per-plant reproductive success Experiment or site . Pollination treatments . Seed number . Seed mass (g) . Control . Stress . Control . Stress . Sonning Bees 19.8 ± 12.3 13.1 ± 6.6 9.3 ± 6.4 6.3 ± 3.1 None 18.6 ± 7.8 9.4 ± 5.3 8.8 ± 5.0 5.2 ± 3.3 Harborne Bees 26.4 ± 10.8 17.6 ± 8.2 13.2 ± 5.3 8.4 ± 4.2 None 16.2 ± 6.3 6.2 ± 5.0 9.2 ± 4.1 3.8 ± 3.3 Model parameter Temp – P<0.001 Poll:temp P=0.034 P=0.685 Poll:site P=0.003 P=0.022 Temp:site P=0.517 P=0.242 Poll:temp:site P=0.445 P=0.959 Flight cages Bees 56.0 ± 16.8 34.9 ± 9.9 33.6 ± 7.7 25.5 ± 7.6 None 29.2 ± 10.3 16.4 ± 5.7 18.4 ± 5.6 10.0 ± 4.8 Bees+tripping 56.4 ± 24.7 32.1 ± 8.9 31.1 ± 15.1 24.4 ± 5.6 None+tripping 55.3 ± 20.7 39.4 ± 11.5 29.4 ± 10.2 25.6 ± 7.3 Model parameter Temp P=0.005 P=0.027 Poll P<0.001 P<0.001 Poll:temp P=0.883 P=0.847 Experiment or site . Pollination treatments . Seed number . Seed mass (g) . Control . Stress . Control . Stress . Sonning Bees 19.8 ± 12.3 13.1 ± 6.6 9.3 ± 6.4 6.3 ± 3.1 None 18.6 ± 7.8 9.4 ± 5.3 8.8 ± 5.0 5.2 ± 3.3 Harborne Bees 26.4 ± 10.8 17.6 ± 8.2 13.2 ± 5.3 8.4 ± 4.2 None 16.2 ± 6.3 6.2 ± 5.0 9.2 ± 4.1 3.8 ± 3.3 Model parameter Temp – P<0.001 Poll:temp P=0.034 P=0.685 Poll:site P=0.003 P=0.022 Temp:site P=0.517 P=0.242 Poll:temp:site P=0.445 P=0.959 Flight cages Bees 56.0 ± 16.8 34.9 ± 9.9 33.6 ± 7.7 25.5 ± 7.6 None 29.2 ± 10.3 16.4 ± 5.7 18.4 ± 5.6 10.0 ± 4.8 Bees+tripping 56.4 ± 24.7 32.1 ± 8.9 31.1 ± 15.1 24.4 ± 5.6 None+tripping 55.3 ± 20.7 39.4 ± 11.5 29.4 ± 10.2 25.6 ± 7.3 Model parameter Temp P=0.005 P=0.027 Poll P<0.001 P<0.001 Poll:temp P=0.883 P=0.847 Presented values are the observed mean ±SD, and P-values are from likelihood ratio tests (see Supplementary Table S1 for more information). For the flight cage experiment, means and SDs were calculated from data already aggregated across flight cages and cabinets. Abbreviations: poll, pollination treatment, temp, temperature treatment, interactions are indicated by ':'. Lower level interactions and individual parameters are not included if in a higher level interaction. Bold significance values are significant to P<0.05. Open in new tab Table 4. Effects of pollination and temperature treatments on per-plant reproductive success Experiment or site . Pollination treatments . Seed number . Seed mass (g) . Control . Stress . Control . Stress . Sonning Bees 19.8 ± 12.3 13.1 ± 6.6 9.3 ± 6.4 6.3 ± 3.1 None 18.6 ± 7.8 9.4 ± 5.3 8.8 ± 5.0 5.2 ± 3.3 Harborne Bees 26.4 ± 10.8 17.6 ± 8.2 13.2 ± 5.3 8.4 ± 4.2 None 16.2 ± 6.3 6.2 ± 5.0 9.2 ± 4.1 3.8 ± 3.3 Model parameter Temp – P<0.001 Poll:temp P=0.034 P=0.685 Poll:site P=0.003 P=0.022 Temp:site P=0.517 P=0.242 Poll:temp:site P=0.445 P=0.959 Flight cages Bees 56.0 ± 16.8 34.9 ± 9.9 33.6 ± 7.7 25.5 ± 7.6 None 29.2 ± 10.3 16.4 ± 5.7 18.4 ± 5.6 10.0 ± 4.8 Bees+tripping 56.4 ± 24.7 32.1 ± 8.9 31.1 ± 15.1 24.4 ± 5.6 None+tripping 55.3 ± 20.7 39.4 ± 11.5 29.4 ± 10.2 25.6 ± 7.3 Model parameter Temp P=0.005 P=0.027 Poll P<0.001 P<0.001 Poll:temp P=0.883 P=0.847 Experiment or site . Pollination treatments . Seed number . Seed mass (g) . Control . Stress . Control . Stress . Sonning Bees 19.8 ± 12.3 13.1 ± 6.6 9.3 ± 6.4 6.3 ± 3.1 None 18.6 ± 7.8 9.4 ± 5.3 8.8 ± 5.0 5.2 ± 3.3 Harborne Bees 26.4 ± 10.8 17.6 ± 8.2 13.2 ± 5.3 8.4 ± 4.2 None 16.2 ± 6.3 6.2 ± 5.0 9.2 ± 4.1 3.8 ± 3.3 Model parameter Temp – P<0.001 Poll:temp P=0.034 P=0.685 Poll:site P=0.003 P=0.022 Temp:site P=0.517 P=0.242 Poll:temp:site P=0.445 P=0.959 Flight cages Bees 56.0 ± 16.8 34.9 ± 9.9 33.6 ± 7.7 25.5 ± 7.6 None 29.2 ± 10.3 16.4 ± 5.7 18.4 ± 5.6 10.0 ± 4.8 Bees+tripping 56.4 ± 24.7 32.1 ± 8.9 31.1 ± 15.1 24.4 ± 5.6 None+tripping 55.3 ± 20.7 39.4 ± 11.5 29.4 ± 10.2 25.6 ± 7.3 Model parameter Temp P=0.005 P=0.027 Poll P<0.001 P<0.001 Poll:temp P=0.883 P=0.847 Presented values are the observed mean ±SD, and P-values are from likelihood ratio tests (see Supplementary Table S1 for more information). For the flight cage experiment, means and SDs were calculated from data already aggregated across flight cages and cabinets. Abbreviations: poll, pollination treatment, temp, temperature treatment, interactions are indicated by ':'. Lower level interactions and individual parameters are not included if in a higher level interaction. Bold significance values are significant to P<0.05. Open in new tab Additional hand-tripping treatments in the flight cage experiment produced similar bean numbers to the insect pollinator only treatment, when performed either on plants that were excluded from insect pollinators, or in addition to insect pollination (model with these pollination treatments grouped versus full model, P=0.893). Pollinator density and diversity Pollinator density and diversity were slightly higher at the Harborne site, but there were no statistically significant differences between sites or management treatments, and variability in outcrossing level between sites was not explained by management treatments (Table 3). Discussion Recent evidence suggests that gradual changes in climate are likely to modify interactions between insect pollinators and the plants that they visit (Scaven and Rafferty, 2013) due to spatial (e.g. Polce et al., 2014; Kerr et al., 2015) and temporal (e.g. Bartomeus et al., 2011) shifts in pollinators. Climate change is also likely to lead to more extreme weather events (Hansen et al., 2012; Seneviratne et al., 2012). Our study demonstrates that this extreme weather can greatly modify plant–pollinator interactions. We exposed plants to a high temperature stress for 5 d, and observed a dramatic increase in reproduction via outcrossing. A near doubling of outcrossing level following stress occurred both in a tightly controlled flight cage experiment with domesticated insect pollinators, and at a field site with a wild insect pollinator community. Heat stress during floral development is known to reduce pollen fertility in faba bean (Bishop et al., 2016b), such that flowers can become deficient in their own pollen and less able to reproduce by within-flower selfing. A pollen deficiency may also occur indirectly, through reduced anther dehiscence (release of pollen) following stress (Stoddard, 1986). These flowers do not become obligate outcrossers—our hand-tripping treatments showed that remaining self-pollen can be sufficient for a certain level of reproduction if floral visitation is very high (and perhaps unrepresentative of field levels; Garratt et al., 2014). However, given the doubling of outcrossing following heat stress, there is clearly a fertilization advantage of outcrossed pollen when it is present. This could be due to a greater density of outcrossed pollen, faster pollen tube growth, and/or better retention of pods containing outcrossed seeds. Outcrossing of fertile pollen (at least when completed by hand in laboratory studies) has been shown to restore seed set in a range of species (Table 1). We suggest that reproductive recovery by outcrossing is the likely mechanism by which crop yield stability is conferred by insect pollinators (Bishop et al., 2016a). It is likely that under field conditions some individual plants retain fertile pollen and act as donors; stress exposure is typically patchy in many environments due to differences in soil depth and soil water-holding capacity. It has previously been observed that outcrossing occurs more frequently at locations with more dense (Suso et al., 2001) or more diverse (Brittain et al., 2013) pollinator communities, due, for example, to synergistic interactions between pollinating species. Although there were very different responses in terms of outcrossing at our two field sites, we found no quantifiable differences in pollinator community or growing conditions (though different responses could have been due to unobserved pollen quality differences between sites). In addition, the annual floral strips that we trialled in our study did not result in greater pollinator density or diversity, or more outcrossing in the experimental plants. Such management interventions probably require tailoring to specific crop systems, and can take several years to become effective (Blaauw and Isaacs, 2014). This warrants larger scale field experimentation that compares responses at many sites, ideally across a pollinator density and/or diversity gradient, to be better able to predict sites and management strategies that deliver high levels of outcrossing and floral visitation. Dramatically increased outcrossing following heat stress has broad implications for plant–pollinator interactions in natural ecosystems (summarized in Fig. 3). Extreme weather events that can cause heat stress are already a common occurrence (Hansen et al., 2012), and could already be driving changes in the gene flow of angiosperms, 88% of which require pollination by animals (Ollerton et al., 2011). Greater incidence of heat stress and subsequent enhanced outcrossing could drive rapid ecologically adaptive evolution of mixed-mating species in natural ecosystems, similar to that seen in obligate outcrossing grasses under simulated climate change (Ravenscroft et al., 2015). For this process to occur widely in insect-pollinated plants, it would also require stable pollinator populations and pollination services under future climate change, though there are many uncertainties (Settele et al., 2016). Fig. 3. Open in new tabDownload slide A conceptual diagram for mixed-mating plant species: with minimal climate change there was low likelihood of extreme weather events. With future projected climate change, and even current climate change, this likelihood has increased, leading to greater probability of outcrossing in populations. Fig. 3. Open in new tabDownload slide A conceptual diagram for mixed-mating plant species: with minimal climate change there was low likelihood of extreme weather events. With future projected climate change, and even current climate change, this likelihood has increased, leading to greater probability of outcrossing in populations. It is vital that we avoid ‘lose–lose’ scenarios in which plant stress increases, and we lose the resilience that can be provided by insect pollination. For example, in managed systems, agricultural producers could respond to increasingly extreme weather and unstable crop yields by further intensifying production (Nelson et al., 2014). Without thoughtful planning, this could be detrimental to insect pollinator populations and any resilience benefits (e.g. Bishop et al., 2016a) that they provide (both in crop fields and in surrounding habitats), due to degradation of floral and nesting resources (Dormann et al., 2008). Instead, we could promote highly species diverse pollinator communities that are functionally resilient under climate change (Bartomeus et al., 2013; Rader et al., 2013). Approaches to achieve this include increasing the provision of feed and nesting habitats in landscapes (Goulson et al., 2015), and the connectivity between habitats within landscapes. Greater incorporation of mass-flowering legume crops in agricultural rotations may form part of this strategy (e.g. Rundlof et al., 2014; but see Holzschuh et al., 2016), and has many additional benefits for sustainable agriculture (e.g. Köpke and Nemecek, 2010). We have measured a substantial change in the level of outcrossing in faba bean following heat stress. Further experimentation should test (i) applications of this process to cropping systems that utilize managed pollinators; and (ii) the generality of this process (e.g. analyses of outcrossing level of mixed-mating species in long-term stress experiments). There is growing evidence that climate change will reduce plant reproductive success and exacerbate the many existing pressures on pollination services (González-Varo et al., 2013). This demands practises that conserve and best utilize available pollination services (Garibaldi et al., 2014), to ensure that insect pollinator communities are maintained, and their benefits maximized across both agricultural and natural ecosystems. Supplementary data Supplementary data are available at JXB online Table S1. Model simplification tables for establishment of treatment effect sizes and significance. Data deposition Measures of cross-pollination and yield production of faba bean (Vicia faba L.) in response to heat stress and insect pollination treatments. University of Reading Research Data Archive. http://dx.doi.org/10.17864/1947.83. Authors’ contributions HEJ, SGP, and JB conceived the work. JB designed and conducted the experiments, analysed and interpreted the data, and wrote the paper, all with advice and comments from HEJ, DOS, and SGP Acknowledgements JB gratefully acknowledges financial support from Biotechnology and Biological Sciences Research Council Grant BB/F01659X/1. We are very thankful to C. Geary, C.J. Hadley, R.J. Casebow, J.L. Hansen, L.J. Doherty, and F. Bishop for technical assistance, to S. Dumble for statistical advice, K. Wanelik and H. Barber for comments on the manuscript, and to Wherry & Sons for supplying seed for both experiments. The authors have no conflict of interest to declare. References Bartomeus I Ascher JS Gibbs J Danforth BN Wagner DL Hedtke SM Winfree R . 2013 . Historical changes in northeastern US bee pollinators related to shared ecological traits . Proceedings of the National Academy of Sciences, USA 110 , 4656 – 4660 . Google Scholar Crossref Search ADS WorldCat Bartomeus I Ascher JS Wagner D Danforth BN Colla S Kornbluth S Winfree R . 2011 . Climate-associated phenological advances in bee pollinators and bee-pollinated plants . Proceedings of the National Academy of Sciences, USA 108 , 20645 – 20649 . Google Scholar Crossref Search ADS WorldCat Bates D Maechler M Bolker B Walker S . 2014 . lme4: Linear mixed-effects models using Eigen and S4 . R package version 1. 1–7. http://CRAN.R-project.org/package=lme4. ( 15 March 2016 ) Bishop J Jones HE O’Sullivan DM Potts SG. 2016 . Data from: Elevated temperature drives a shift from selfing to outcrossing in the insect-pollinated legume, faba bean (Vicia faba) . University of Reading Research Data Archive . http://dx.doi.org/10.17864/1947.83. Google Scholar OpenURL Placeholder Text WorldCat Bishop J Jones HE Lukac M Potts SG . 2016a. Insect pollination reduces yield loss following heat stress in faba bean (Vicia faba L.) . Agriculture, Ecosystems amd Environment 220 , 89 – 96 . Google Scholar Crossref Search ADS WorldCat Bishop J Potts SG Jones HE . 2016b. Susceptibility of faba bean (Vicia faba L.) to heat stress during floral development and anthesis . Journal of Agronomy and Crop Science 202 , 508 – 517 . Google Scholar Crossref Search ADS WorldCat Blaauw BR Isaacs R . 2014 . Flower plantings increase wild bee abundance and the pollination services provided to a pollination-dependent crop . Journal of Applied Ecology 51 , 890 – 898 . Google Scholar Crossref Search ADS WorldCat Briggs K Kiplagat O Johnson-Flanagan A . 1999 . Floret sterility and outcrossing in two spring wheat cultivars . Canadian Journal of Plant Science 79 , 321 – 328 . Google Scholar Crossref Search ADS WorldCat Brittain C Williams N Kremen C Klein A . 2013 . Synergistic effects of non-Apis bees and honey bees for pollination services . Proceedings. Biological Sciences 280 , 20122767 . Google Scholar Crossref Search ADS PubMed WorldCat Culley TM Klooster MR . 2007 . The cleistogamous breeding system: a review of its frequency, evolution, and ecology in angiosperms . Botanical Review 73 , 1 – 30 . Google Scholar Crossref Search ADS WorldCat Dafni A Kevan PG Husband BC , eds. 2005 . Practical pollination biology . Cambridge, Ontario, Canada : Enviroquest Ltd Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC Deryng D Conway D Ramankutty N Price J Warren R . 2014 . Global crop yield response to extreme heat stress under multiple climate change futures . Environmental Research Letters 9 , 034011 . Google Scholar Crossref Search ADS WorldCat Dormann CF Schweiger O Arens P et al. . 2008 . Prediction uncertainty of environmental change effects on temperate European biodiversity . Ecology Letters 11 , 235 – 244 . Google Scholar Crossref Search ADS PubMed WorldCat Eckert CG Kalisz S Geber MA et al. . 2010 . Plant mating systems in a changing world . Trends in Ecology and Evolution 25 , 35 – 43 . Google Scholar Crossref Search ADS PubMed WorldCat Fischer EM Schär C . 2010 . Consistent geographical patterns of changes in high-impact European heatwaves . Nature Geoscience 3 , 398 – 403 . Google Scholar Crossref Search ADS WorldCat Garibaldi LA Carvalheiro LG Leonhardt SD et al. . 2014 . From research to action: practices to enhance crop yield through wild pollinators . Frontiers in Ecology and the Environment 12 , 439 – 447 . Google Scholar Crossref Search ADS WorldCat Garratt MP Coston DJ Truslove CL Lappage MG Polce C Dean R Biesmeijer JC Potts SG . 2014 . The identity of crop pollinators helps target conservation for improved ecosystem services . Biological Conservation 169 , 128 – 135 . Google Scholar Crossref Search ADS PubMed WorldCat Gasim S Abel S Link W . 2004 . Extent, variation and breeding impact of natural cross-fertilization in German winter faba beans using hilum colour as marker . Euphytica 136 , 193 – 200 . Google Scholar Crossref Search ADS WorldCat Giannini TC Chapman DS Saraiva AM Alves-dos-Santos I Biesmeijer JC . 2013 . Improving species distribution models using biotic interactions: a case study of parasites, pollinators and plants . Ecography 36 , 649 – 656 . Google Scholar Crossref Search ADS WorldCat Godfray HCJ Beddington J Crute I Haddad L Lawrence D Muir JF Pretty J Robinson S Thomas SM Toulmin C . 2010 . Food security: the challenge of feeding 9 billion people . Science 327 , 812 – 818 . Google Scholar Crossref Search ADS PubMed WorldCat Gómez JM Perfectti F Jordano P . 2011 . The functional consequences of mutualistic network architecture . PLoS One 6 , e16143 . Google Scholar Crossref Search ADS PubMed WorldCat González-Varo JP Biesmeijer JC Bommarco R Potts SG Schweiger O Smith HG Steffan-Dewenter I Szentgyörgyi H Woyciechowski M Vilà M . 2013 . Combined effects of global change pressures on animal-mediated pollination . Trends in Ecology and Evolution 28 , 524 – 530 . Google Scholar Crossref Search ADS PubMed WorldCat Goulson D Nicholls E Botías C Rotheray EL . 2015 . Bee declines driven by combined stress from parasites, pesticides, and lack of flowers . Science 347 , 1 – 16 . Google Scholar Crossref Search ADS WorldCat Gross Y Kigel J . 1994 . Differential sensitivity to high temperature of stages in the reproductive development of common bean (Phaseolus vulgaris L.) . Field Crops Research 36 , 201 – 212 . Google Scholar Crossref Search ADS WorldCat Hansen J Sato M Ruedy R . 2012 . Perception of climate change . Proceedings of the National Academy of Sciences, USA 109 , E2415 – E2423 . Google Scholar Crossref Search ADS WorldCat Hegland SJ Nielsen A Lázaro A Bjerknes AL Totland Ø . 2009 . How does climate warming affect plant–pollinator interactions? Ecology Letters 12 , 184 – 195 . Google Scholar Crossref Search ADS PubMed WorldCat Holzschuh A Dainese M González-Varo JP et al. . 2016 . Mass-flowering crops dilute pollinator abundance in agricultural landscapes across Europe . Ecology Letters 19 , 1228 – 1236 . Google Scholar Crossref Search ADS PubMed WorldCat Kambal AE Bond DA Toynbee-Clarke G . 1976 . A study on the pollination mechanism in field beans (Vicia faba L.) . Journal of Agricultural Science 87 , 519 – 526 . Google Scholar Crossref Search ADS WorldCat Kerr JT Pindar A Galpern P et al. . 2015 . Climate change impacts on bumblebees converge across continents . Science 349 , 177 – 180 . Google Scholar Crossref Search ADS PubMed WorldCat Klein A-M Vaissière BE Cane JH Steffan-Dewenter I Cunningham Sa Kremen C Tscharntke T . 2007 . Importance of pollinators in changing landscapes for world crops . Proceedings. Biological Sciences 274 , 303 – 313 . Google Scholar Crossref Search ADS PubMed WorldCat Knight ME Martin AP Bishop S Osborne JL Hale RJ Sanderson RA Goulson D . 2005 . An interspecific comparison of foraging range and nest density of four bumblebee (Bombus) species . Molecular Ecology 14 , 1811 – 1820 . Google Scholar Crossref Search ADS PubMed WorldCat Koike S Yamaguchi T Ohmori S Hayashi T Yatou O Yoshida H . 2015 . Cleistogamy decreases the effect of high temperature stress at flowering in rice . Plant Production Science 18 , 111 – 117 . Google Scholar Crossref Search ADS WorldCat Köpke U Nemecek T . 2010 . Ecological services of faba bean . Field Crops Research 115 , 217 – 233 . Google Scholar Crossref Search ADS WorldCat Lobell DB Bänziger M Magorokosho C Vivek B . 2011 . Nonlinear heat effects on African maize as evidenced by historical yield trials . Nature Climate Change 1 , 42 – 45 . Google Scholar Crossref Search ADS WorldCat Munguía-Rosas MA Parra-Tabla V Ollerton J Cervera JC . 2012 . Environmental control of reproductive phenology and the effect of pollen supplementation on resource allocation in the cleistogamous weed, Ruellia nudiflora (Acanthaceae) . Annals of Botany 109 , 343 – 350 . Google Scholar Crossref Search ADS PubMed WorldCat Nelson GC Valin H Sands RD et al. . 2014 . Climate change effects on agriculture: economic responses to biophysical shocks . Proceedings of the National Academy of Sciences, USA 111 , 3274 – 3279 . Google Scholar Crossref Search ADS WorldCat Ollerton J Winfree R Tarrant S . 2011 . How many flowering plants are pollinated by animals? Oikos 120 , 321 – 326 . Google Scholar Crossref Search ADS WorldCat Peet MM Sato S Gardner RG . 1998 . Comparing heat stress effects on male-fertile and male-sterile tomatoes . Plant, Cell and Environment 21 , 225 – 231 . Google Scholar Crossref Search ADS WorldCat Polce C Garratt MP Termansen M et al. . 2014 . Climate-driven spatial mismatches between British orchards and their pollinators: increased risks of pollination deficits . Global Change Biology 20 , 2815 – 2828 . Google Scholar Crossref Search ADS PubMed WorldCat Porter JR Xie L Challinor AJ Cochrane K Howden SM Iqbal MM Lobell DB Travasso MI . 2014 . Food security and food production systems . In: Field CB Barros VR Dokken DJ et al. , eds. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change . Cambridge : Cambridge University Press , 485 – 533 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC Rader R Reilly J Bartomeus I Winfree R . 2013 . Native bees buffer the negative impact of climate warming on honey bee pollination of watermelon crops . Global Change Biology 19 , 3103 – 3110 . Google Scholar Crossref Search ADS PubMed WorldCat Rasmont P Franzén M Thomas Lecocq AH et al. . 2015 . Climatic risk and distribution atlas of European bumblebees . Sofia : Pensoft Publishers . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC Ravenscroft CH Whitlock R Fridley JD . 2015 . Rapid genetic divergence in response to 15 years of simulated climate change . Global Change Biology 21 , 4165 – 4176 . Google Scholar Crossref Search ADS PubMed WorldCat R Core Team . 2015 . R: a language and environment for statistical computing . Vienna, Austria : R Foundation for Statistical Computing . Rundlof M Persson AS Smith HG et al. . 2014 . Late-season mass-flowering red clover increases bumble bee queen and male densities . Biological Conservation 172 , 138 – 145 . Google Scholar Crossref Search ADS WorldCat Saini H Aspinall D . 1982 . Abnormal sporogenesis in wheat (Triticum aestivum L.) induced by short periods of high temperature . Annals of Botany 49 , 835 – 846 . Google Scholar Crossref Search ADS WorldCat Scaven VL Rafferty NE . 2013 . Physiological effects of climate warming on flowering plants and insect pollinators and potential consequences for their interactions . Current Zoology 59 , 418 – 426 . Google Scholar Crossref Search ADS PubMed WorldCat Seneviratne S Nicholls N Easterling D et al. . 2012 . Changes in climate extremes and their impacts on the natural physical environment . In: Managing the risk of extreme events and disasters to advance climate change adaptation. A Special Report of Working Groups I and II of the IPCC, Annex Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation , 109 – 230 . Google Scholar Google Preview OpenURL Placeholder Text WorldCat COPAC Settele J Bishop J Potts SG . 2016 . Climate change impacts on pollination . Nature Plants 2 , 16092 . Google Scholar Crossref Search ADS PubMed WorldCat Shmueli G . 2010 . To explain or to predict? Statistical Science 25 , 289 – 310 . Google Scholar Crossref Search ADS WorldCat Stoddard FL . 1986 . Effects of drought on autofertility in faba beans . Fabis Newsletter 15 , 22 – 26 . Google Scholar OpenURL Placeholder Text WorldCat Suso MJ Cubero JI Moreno MT . 1995 . Outcrossing in two faba bean cultivars under dryland conditions in Spain . Canadian Journal of Plant Science 75 , 441 – 443 . Google Scholar Crossref Search ADS WorldCat Suso MJ Pierre J Moreno MT Esnault R Le Guen J . 2001 . Variation in outcrossing levels in faba bean cultivars: role of ecological factors . Journal of Agricultural Science 136 , 399 – 405 . Google Scholar OpenURL Placeholder Text WorldCat Vanbergen AJ Woodcock BA Gray A Grant F Telford A Lambdon P Chapman DS Pywell RF Heard MS Cavers S . 2014 . Grazing alters insect visitation networks and plant mating systems . Functional Ecology 28 , 178 – 189 . Google Scholar Crossref Search ADS WorldCat Young LW Wilen RW Bonham-Smith PC . 2004 . High temperature stress of Brassica napus during flowering reduces micro- and megagametophyte fertility, induces fruit abortion, and disrupts seed production . Journal of Experimental Botany 55 , 485 – 495 . Google Scholar Crossref Search ADS PubMed WorldCat Author notes * Correspondence: j.bishop@reading.ac.uk Editor: Christine Foyer, Leeds University © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology.
TI - Elevated temperature drives a shift from selfing to outcrossing in the insect-pollinated legume, faba bean (Vicia faba)
JF - Journal of Experimental Botany
DO - 10.1093/jxb/erw430
DA - 2017-04-01
UR - https://www.deepdyve.com/lp/oxford-university-press/elevated-temperature-drives-a-shift-from-selfing-to-outcrossing-in-the-Un40MSm0r7
SP - 2055
EP - 2063
VL - 68
IS - 8
DP - DeepDyve
ER -