Measuring, comparing and interpreting phenotypic selection on floral scent

Opedal, Øystein H.; Gross, Karin; Chapurlat, Elodie; Parachnowitsch, Amy L.; Joffard, Nina; Sletvold, Nina; Ovaskainen, Otso; Friberg, Magne

doi:10.1111/jeb.14103

Cited by 11 publications

(11 citation statements)

References 88 publications

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“…Therefore, direct estimates of selection are required to investigate the potential for phenotypic selection to act on a composite trait such as phytochemical diversity ( c.f. Opedal et al 2022). Doing so, we may gain a better understanding of how different aspects of the phytochemical phenotype function ecologically, come under selection, and evolve over time.…”

Section: Introductionmentioning

confidence: 99%

Understanding the phytochemical diversity of plants: Quantification, variation and ecological function

Petrén

Anaia

Aragam

et al. 2023

Preprint

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Plants produce a great number of phytochemical compounds mediating a variety of different functions. Recently, phytochemical diversity (chemodiversity), a way which to quantify the complex phenotype formed by sets of phytochemicals, has been suggested to be important for function. However, no study has systematically examined the potential (in)direct functional importance of chemodiversity on a general level, partly due to a lack of an agreement on how to quantify this aspect of the plant phenotype. This paper has four aims: 1) We discuss how chemodiversity (deconstructed into components of richness, evenness and disparity) may quantify different aspects of the phenotype that are ecologically relevant. 2) We systematically review the literature on chemodiversity to examine methodological practices, explore ecological patterns of variability in diversity across different levels of biological organization, and investigate the functional role of this diversity in interactions between plants and other organisms. 3) We provide a framework facilitating decisions on which measure of chemodiversity is best used in different contexts. 4) We outline open questions and avenues for future research in this area. A more thorough understanding of phytochemical diversity will increase our knowledge on the functional role phytochemical compounds, and how they shape ecological interactions between plants and their environment.

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Section: Introductionmentioning

confidence: 99%

Understanding the phytochemical diversity of plants: Quantification, variation and ecological function

Petrén

Anaia

Aragam

et al. 2023

Preprint

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“…Phenotypic selection analysis has long wrestled with the problem of regressing fitness on a high dimensional set of multivariate traits. Some solutions include projection pursuit regression (Schluter and Nychka, 1994) and canonical analysis (Blows and Brooks, 2003), as applied to floral traits in Campbell et al (2022a), penalized multivariate regression (Gfrerer et al, 2021), and Bayesian reduced rank regression (Opedal et al, 2022), all of which reduce dimensionality by finding new axes that explain variation in fitness. The latter method allows back-transforming a selection gradient on the constructed axis to estimate selection gradients on the original VOCs.…”

Section: Discussionmentioning

confidence: 99%

An analytical pipeline to support robust research on the ecology, evolution, and function of floral volatiles

Eisen

Powers²,

Raguso³

et al. 2022

Front. Ecol. Evol.

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Research on floral volatiles has grown substantially in the last 20 years, which has generated insights into their diversity and prevalence. These studies have paved the way for new research that explores the evolutionary origins and ecological consequences of different types of variation in floral scent, including community-level, functional, and environmentally induced variation. However, to address these types of questions, novel approaches are needed that can handle large sample sizes, provide quality control measures, and make volatile research more transparent and accessible, particularly for scientists without prior experience in this field. Drawing upon a literature review and our own experiences, we present a set of best practices for next-generation research in floral scent. We outline methods for data collection (experimental designs, methods for conducting field collections, analytical chemistry, compound identification) and data analysis (statistical analysis, database integration) that will facilitate the generation and interpretation of quality data. For the intermediate step of data processing, we created the R package bouquet, which provides a data analysis pipeline. The package contains functions that enable users to convert chromatographic peak integrations to a filtered data table that can be used in subsequent statistical analyses. This package includes default settings for filtering out non-floral compounds, including background contamination, based on our best-practice guidelines, but functions and workflows can be easily customized as necessary. Next-generation research into the ecology and evolution of floral scent has the potential to generate broadly relevant insights into how complex traits evolve, their genomic architecture, and their consequences for ecological interactions. In order to fulfill this potential, the methodology of floral scent studies needs to become more transparent and reproducible. By outlining best practices throughout the lifecycle of a project, from experimental design to statistical analysis, and providing an R package that standardizes the data processing pipeline, we provide a resource for new and seasoned researchers in this field and in adjacent fields, where high-throughput and multi-dimensional datasets are common.

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“…Surprisingly, they found that while bumble bees could detect pure sterols, they did not discriminate between different sterols or between pollen with different sterol concentrations. Analytically, including pollen nutrient composition into a fitness function would likely benefit from dimension‐reduction approaches such as the two‐block partial least square approach used by Dellinger et al (2023) or the reduced‐rank regression approach recently developed for analyzing trait–performance relationships and selection on floral scent chemistry (Opedal et al, 2022).…”

Section: Function and Performance In Pollination Or How Pollen Links ...mentioning

confidence: 99%

Pollen as the link between floral phenotype and fitness

Opedal

Pérez‐Barrales

Brito

et al. 2023

American J of Botany

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Pollen plays a key role in plant reproductive biology. Despite the long history of research on pollen and pollination, recent advances in pollen-tracking methods and statistical approaches to linking plant phenotype, pollination performance, and reproductive fitness yield a steady flow of exciting new insights. In this introduction to the Special Issue "Pollen as the Link Between Phenotype and Fitness," we start by describing a general conceptual model linking functional classes of floral phenotypic traits to pollinationrelated performance metrics and reproductive fitness. We use this model as a framework for synthesizing the relevant literature, highlighting the studies included in the Special Issue, and identifying gaps in our understanding and opportunities for further development of the field. The papers that follow in this Special Issue provide new insights into the relationships between pollen production, presentation, flower morphology, and pollination performance (e.g., pollen deposition onto stigmas), the role of pollinators in pollen transfer, and the consequences of heterospecific pollen deposition. Several of the studies demonstrate exciting experimental and analytical approaches that should pave the way for continued work addressing the intriguing role of pollen in linking plant phenotypes to reproductive fitness.

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Measuring, comparing and interpreting phenotypic selection on floral scent

Cited by 11 publications

References 88 publications

Understanding the phytochemical diversity of plants: Quantification, variation and ecological function

Understanding the phytochemical diversity of plants: Quantification, variation and ecological function

An analytical pipeline to support robust research on the ecology, evolution, and function of floral volatiles

Pollen as the link between floral phenotype and fitness

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