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58 results for “flower trait”
Figure 2 in Adaptations in wild radish (Raphanus raphanistrum) flowering time, Part 1: Individual-based modeling of a polygenic trait
Figure 2. The relationship between the number of semidominant larger M1 alleles and days to first flower (DFF), needed to model the long-day selections. Note that six smallereffect M2 genes will add another 0 to 18 days to DFF. If each M1 allele added the same amount in the long-day selections, the relationship would be linear.
Figure 1 in Adaptations in wild radish (Raphanus raphanistrum) flowering time, Part 1: Individual-based modeling of a polygenic trait
Figure 1. Goodness of fit of the modeled data (A) when compared with the recorded glasshouse data (B). Graphs show cumulative days to first flowering (DFF) adaptations in Raphanus raphanistrum populations as a result of repeated early and late days to flowering selection. In both graphs, the basal population is the black solid line in the center,the darker lines are the matched generations of early flowering (EF1, EF3, FE4,and EF5; colored orange), and late flowering (LF2 and LF3; colored purple), with and late flowering (LF2 and LF3),with the two unmatched generations (EF2 and LF2) shown in lighter tones.The far-left population (early flowering EF5) displays very little phenotypic variability, whereas the far-right population (late flowering 3) is very diverse.
Ignoring within-flower self-fertilization and inbreeding depression biases estimates of selection on floral traits
<p>Within-flower self-pollination should be the major source of self-fertilization in mixed-mating species that present single or few flowers simultaneously. It is also an often unmeasured source of selfing in species with many flowers open simultaneously. In self-compatible species in which pistil and stamen numbers vary, the rate of within-flower selfing should depend on the number of pistils and stamens, the timing of flowering, and the morphology of subsidiary floral traits. The intensity and direction of selection on these traits should thus also depend on the level of inbreeding depression. Here, we measured the dependence of the within-flower selfing rate on floral sex allocation, phenology, petal length, and floral stalk height in a population of the perennial herb <em>Pulsatilla alpina</em> (Ranunculaceae) in which most individuals had single flowers. We estimated inbreeding depression in the population by comparing inbreeding coefficients between parents and seed progeny using microsatellite markers. We then estimated selection on the measured traits via female reproductive success at the flower level and compared our estimates with a hypothetical scenario in which inbreeding depression was assumed to be absent. Inbreeding depression was estimated to be severe (0.95). The within-flower selfing rate varied widely among flowers and depended positively on stamen number and negatively on pistil number and flowering date, supporting the predictions of a mass-action model. The dependence of the selfing rate on the measured floral traits consistently predicted (non-linear) patterns of selection under high inbreeding depression that were distinct from those under a hypothetical scenario of no inbreeding depression.</p> <p>Synthesis: While previous research has emphasized the importance of mass-action mating on selfing among flowers of plants with large floral displays, our results demonstrate its importance for selfing within individual flowers. They also demonstrate the importance of accounting for both the selfing rate and inbreeding depression when inferring selection on floral and other traits via female fitness.</p>
R code and datasets for flower-visitor interactions (pollinators, robbers, thieves) and plant traits from Mount Cameroon
<p>Raw data and R code for: <strong>Cheaters among pollinators: Nectar robbing and thieving vary spatiotemporally with floral traits in Afrotropical forests. </strong><i>Ecosphere, 2023</i>. doi: 10.1002/ecs2.4696<br> </p><p>When using the dataset for anything, cite the Sakhalkar et al. <i>Ecosphere </i>paper.</p><p><br>All related information can be found in the cited paper. For additional information, refer to the paper or write to either robert.tropek@gmail.com or sailee.sakha@gmail.com.</p>
Ignoring within-flower self-fertilization and inbreeding depression biases estimates of selection on floral traits
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Integrating floral trait and flowering time distribution patterns help reveal a more dynamic nature of co-flowering community assembly processes
<p>Species' floral traits and flowering times are known to be the major drivers of pollinator-mediated plant-plant interactions in diverse co-flowering communities. However, their simultaneous role in mediating plant community assembly and plant-pollinator interactions is still poorly understood. Since not all species flower at the same time, inference of facilitative and competitive interactions based on floral trait distribution patterns should account for fine phenological structure (intensity of flowering overlap) within co-flowering communities. Such an approach may also help reveal the simultaneous action of competitive and facilitative interactions in structuring co-flowering communities.</p> <p>Here we used modularity within a co-flowering network context, as a novel approach to detect convergent and/or over-dispersed patterns in floral trait distribution and pollinator sharing. Specifically, we evaluate differences in floral trait and pollinator distribution patterns within (high temporal flowering overlap) and among co-flowering modules (low temporal flowering overlap). We further evaluate the consistency of observed floral trait and pollinator sharing distribution patterns across space (three geographic regions) and time (dry and rainy seasons).</p> <p>We found that floral trait similarity was significantly higher in plant species within co-flowering modules than in species among them. This suggests pollinator facilitation may lead to floral trait convergence, but only within co-flowering modules. However, our results also revealed seasonal and spatial shifts in the underlying interactions (facilitation or competition) driving co-flowering assembly, suggesting that the prevalent dominant interactions are not static.</p> <p>Synthesis: Overall, we provide strong evidence showing that the use of flowering time and floral trait distribution alone may be insufficient to fully uncover the role of pollinator-mediated interactions in community assembly. Integrating this information along with patterns of pollinator sharing will greatly help reveal the simultaneous action of facilitative and competitive pollinator-mediated interactions in co-flowering communities. The spatial and temporal variation in flowering and trait distribution patterns observed further emphasize the importance of adopting a more dynamic view of community assembly processes.</p>
The timing of leaf senescence relates to flowering phenology and functional traits in 17 herbaceous species along elevational gradients
1. Leaf senescence is a major event in a plant's life history as autumn marks the end of the growing season. The optimal timing of leaf senescence is crucial to both, minimize risks of low temperature events and maximize carbon gain during the growing season. As abiotic conditions are currently changing at unprecedented rates, it is important to study how leaf senescence of different species is responding to these changes in order to forecast future growing season length and carbon sequestration potentials. In contrast to flowering phenology, data on autumn events is scarce and even more so for herbaceous than for woody plants, thus more information on this phenological stage is urgently needed. 2. We studied leaf senescence of 632 populations from 17 herbaceous species located along elevational gradients. We focussed on the beginning (5% of the population senesce, LS5) and peak (50% senesce, LS50) of leaf senescence. To see whether we can predict species-specific changes, we studied the link between LS5 and LS50 and flowering phenology as well as leaf functional traits related to plant performance. We looked at first and last flowering day and flowering duration as well as the traits specific leaf area, leaf dry matter content, area based leaf nitrogen and carbon content, carbon isotope discrimination (Δ13C), and the stomatal pore area index. 3. We found species-specific slopes of the beginning of leaf senescence along the elevational gradient. The peak of leaf senescence was uniformly delayed with increasing elevation across all species. Flowering phenology as well as leaf functional traits had a close relationship with leaf senescence and thus can be used to forecast species-specific responses to changes in abiotic conditions. High SLA and high leaf nitrogen were related to earlier senescence while high LDMC, high Δ13C and high SPI to later senescence. 4. Synthesis: The link between senescence, flowering phenology and plant functional traits will help to fine-tune predictions of future growing season length and ecosystem function. To date, most analyses are based on spring phenology and traits, for which data is more abundant than data on autumn senescence.
Data from: Insect pollinators show constancy for different flower traits between the most‐ and less‐preferred plants: a case study of the long‐proboscid tangle‐veined fly
<p>1. The coevolution of insect pollinators and their host plants is a typical example of natural selection; however, it remains unclear as to how insect pollinators avoid overdependence on one peculiar plant. As most insect pollinators exhibit a diet breadth when showing flower constancy, to determine the difference and similarity of most and less-preferred flowers by insect pollinators may be helpful to understand their trade-off between flower constancy and overdependence.</p> <p>2. We addressed this question in the long-proboscid tangle-veined fly (<i>Nemetrinus spp.</i>). Dietary investigation indicates that the flies show constancy for the morphological characteristic of the <i>Delphinium caeruleum</i>, which is the most preferred plant for this Nemestrinidae fly that has blue, long-tubed flowers.</p> <p>3. In a colour selection experiment, focal individuals showed obvious preference for white, which is the colour of less-preferred flowers by the fly in the natural environment. In a scent selection experiment, focal individuals showed obvious preference for <i>D. caeruleum </i>and <i>Dracocephalum heterophyllum</i>, but avoidance to <i>Dasiphora</i><i> fruticosa</i> and <i>Dasiphora davurica</i>. This indicates that long-proboscid tangle-veined flies can forage on other flowers, even the existing of constancy for <i>D. caeruleum</i>, as long as they do not hate the scent. It seems that long-proboscid tangle-veined flies can maximize foraging efficiency by showing constancy for the morphological characteristic of the most preferred plant and for the scent and colour of less-preferred plants.</p> <p>4. The tradeoff of long-proboscid tangle-veined fly in selection of nectar sources may be an adaptation to the risk of overdependence on one plant in evolution.</p>
Data from: Flowering overlap and floral trait similarity help explain the structure of pollination network
<p><span>Co-flowering communities are usually characterized by high plant generalization but knowledge of the underlying factors leading to high levels of generalization and pollinator sharing, and how these may contribute to network structure is still limited. </span>Flowering phenology and floral trait similarity are considered among the most important factors determining plant generalization and pollinator sharing. However, these have been evaluated independently even though they can act in concert with each other. Moreover, the importance of flowering phenology and floral similarity, via their effects on plant generalization, in the structure of plant–pollinator networks have been scarcely studied. Here, we aim to evaluate the effect of flowering phenology and floral similarity in mediating the degree of pollinator sharing and plant generalization in two coastal communities and uncover their importance as drivers of plant–pollinator network structure.</p> <p>We recorded flower production per species, as well as the identity and frequency of floral visitors along the entire flowering season. We estimated the degree of flowering overlap, the degree of floral similarity (using floral traits associated with size and color), and the degree of pollinator sharing among plant species within both communities.</p> <p>Structural equation models (SEM) showed a positive effect of flowering overlap on pollinator sharing and plant generalization. Pollinator sharing and plant generalization positively affected network nestedness. Furthermore, SEM showed a direct positive effect of flowering overlap on network modularity. The SEM analyses also revealed a significant interaction effect of floral similarity and flowering overlap on pollinator sharing, with consequences for network nestedness in one community.</p> <p><span>Our results highlight the importance of integrating multiple axes of differentiation such as flowering phenology and floral similarity into our understanding of the drivers of plant–pollinator network structure.</span></p>
Data from: Genome-wide search for quantitative trait loci controlling important plant and flower traits in petunia using an interspecific recombinant inbred population of Petunia axillaris and Petunia exserta
A major bottleneck in plant breeding has been the much limited genetic base and much reduced genetic diversity in domesticated, cultivated germplasm. Identification and utilization of favorable gene loci or alleles from wild or progenitor species can serve as an effective approach to increasing genetic diversity and breaking this bottleneck in plant breeding. This study was conducted to identify quantitative trait loci (QTL) in wild or progenitor petunia species that can be used to improve important horticultural traits in garden petunia. An F7 recombinant inbred population derived between Petunia axillaris and P. exserta was phenotyped for plant height, plant spread, plant size, flower counts, flower diameter, flower length, and days to anthesis, in Florida in two consecutive years. Transgressive segregation was observed for all seven traits in both years. The broad-sense heritability estimates for the traits ranged from 0.20 (days to anthesis) to 0.62 (flower length). A genome-wide genetic linkage map consisting 368 single nucleotide polymorphism bins and extending over 277 cM was searched to identify QTL for these traits. Nineteen QTL were identified and localized to five linkage groups. Eleven of the loci were identified consistently in both years; several loci explained up to 34.0% and 24.1% of the phenotypic variance for flower length and flower diameter, respectively. Multiple loci controlling different traits are co-localized in four intervals in four linkage groups. These intervals contain desirable alleles that can be introgressed into commercial petunia germplasm to expand the genetic base and improve plant performance and flower characteristics in petunia.
Pollinator community predicts trait-matching between oil-producing flowers and a guild of oil-collecting bees
<p>The impact of pollinator community diversity on trait-matching in plant-pollinator interactions is poorly studied, even though many mutualisms involve multiple interaction partners. We studied ten communities in which one to three species of oil-collecting <i>Rediviva</i> bee pollinate the<i> </i>long-spurred, oil-producing flowers of <i>Diascia 'floribunda'</i> to examine how pollinator diversity affects covariation of functional traits across sites and trait-matching within sites. Floral spur-length was significantly correlated with weighted grand mean foreleg length of the local bee community but not with foreleg length of individual bee species. The closeness of trait-matching varied among populations and was inversely related to pollinator community diversity. For all bee species, trait-matching was closest at sites characterized by exclusive, pairwise interactions. Reduced trait-matching associated with increased community diversity for individual pollinator species, but close matching at the community level support the importance of community context for shaping interacting traits of flowers and pollinators.</p>
Data from: Flowering overlap and floral trait similarity help explain the structure of pollination network
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Quantitative genetics of developmental stability in flower traits of Solanum rostratum
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The timing of leaf senescence relates to flowering phenology and functional traits in 17 herbaceous species along elevational gradients
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Integrating floral trait and flowering time distribution patterns help reveal a more dynamic nature of co-flowering community assembly processes
Open the record for dataset details and reuse information.
Data from: Genome-wide search for quantitative trait loci controlling important plant and flower traits in petunia using an interspecific recombinant inbred population of Petunia axillaris and Petunia exserta
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Data from: Plant traits associated with nesting resources and flower availability determine bee’s functional trait diversity in a highly diverse tropical Amazon Forest
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Pollinator community predicts trait-matching between oil-producing flowers and a guild of oil-collecting bees
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Data from: Not just flowering time: a resurrection approach shows floral attraction traits are changing over time
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Data from: Insect pollinators show constancy for different flower traits between the most‐ and less‐preferred plants: a case study of the long‐proboscid tangle‐veined fly
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Allen Brain Atlas
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