Detecting Phylogenetic Signal and Adaptation in Papionin Cranial Shape by Decomposing Variation at Different Spatial Scales

Grunstra, Nicole D S; Bartsch, Silvester; Maître, Anne Le; Mitterœcker, Philipp

doi:10.1093/sysbio/syaa093

Cited by 13 publications

(4 citation statements)

References 60 publications

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“…These small‐scale features may thus be more strongly subject to evolutionary drift across species and reduced stabilizing selection within species as compared with large‐scale features. Accordingly, Grunstra et al (2021) found that small‐scale cranial shape features better reflect papionin phylogenetic history than large‐scale features, whereas individuals better clustered into species for the large‐scale shape features.…”

Section: Morphological Integration Modularity and Spatial Scalementioning

confidence: 99%

Thirty years of geometric morphometrics: Achievements, challenges, and the ongoing quest for biological meaningfulness

Mitterœcker

Schæfer

2022

American Journal of Biological Anthropology

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The foundations of geometric morphometrics were worked out about 30 years ago and have continually been refined and extended. What has remained as a central thrust and source of debate in the morphometrics community is the shared goal of meaningful biological inference through a tight connection between biological theory, measurement, multivariate biostatistics, and geometry. Here we review the building blocks of modern geometric morphometrics: the representation of organismal geometry by landmarks and semilandmarks, the computation of shape or form variables via superimposition, the visualization of statistical results as actual shapes or forms, the decomposition of shape variation into symmetric and asymmetric components and into different spatial scales, the interpretation of various geometries in shape or form space, and models of the association between shape or form and other variables, such as environmental, genetic, or behavioral data. We focus on recent developments and current methodological challenges, especially those arising from the increasing number of landmarks and semilandmarks, and emphasize the importance of thorough exploratory multivariate analyses rather than single scalar summary statistics. We outline promising directions for further research and for the evaluation of new developments, such as “landmark‐free” approaches. To illustrate these methods, we analyze three‐dimensional human face shape based on data from the Avon Longitudinal Study of Parents and Children (ALSPAC).

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Section: Morphological Integration Modularity and Spatial Scalementioning

confidence: 99%

Thirty years of geometric morphometrics: Achievements, challenges, and the ongoing quest for biological meaningfulness

Mitterœcker

Schæfer

2022

American Journal of Biological Anthropology

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“…It should be noted that the observed values are closer to zero, corresponding to the theoretical total disintegration of individual landmarks, than those previously found for any multicellular organisms or tissues [28,[36][37][38]. Thus, it appears that morphogenesis at the single-cell level can indeed lead to structures whose integration is markedly different from that of multicellular organisms.…”

Section: Discussionmentioning

confidence: 53%

Spatial Integration of Cellular Shapes in Green Microalgae with Complex Morphology, the Genus Micrasterias (Desmidiales, Zygnematophyceae)

Neustupa,

Woodard

2023

Symmetry

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While ontogeny of multicellular organisms requires an interplay among tissues, morphogenesis of unicellular structures is typically organised with respect to differential growth of their cell covering. For example, shapes of various microalgae have often been emphasised as examples of symmetric fractal-like cellular morphology. Such a self-similar pattern is typical for the variability of a spatial fractal, with the shape variation remaining the same at different scales. This study investigated how these cells are integrated. A geometric morphometric analysis of spatial integration in the genus Micrasterias was used to assess the variation across scales by comparing the slopes of the linear fit of the log bending energy against the log variance of partial warps. Interestingly, the integration patterns were distinctly different from the notion of self-similarity. The variability consistently increased with decreasing scale, regardless of the cultivation temperature or the species examined. In addition, it was consistent after the adjustment of the slopes for the digitisation error. The developmental control over the final shape progressively declines with decreasing spatial scale, to the point that the terminal lobules are shaped almost independently of each other. These findings point to possible considerable differences in the generation of morphological complexity between free-living cells and multicellular organisms.

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“…Phylogenetic signals have been used to answer a variety of evolutionary and ecology related questions related to adaptation (Bozinovic et al, 2007;Grunstra et al, 2021), evolutionary niches (Hof et al, 2010;Silvertown et al, 2005), and hybridization (Mitchell et al, 2019;Whitney et al, 2010). The power of Pagel's λ in phylogenetic signal analysis, however, does increase with the size of the phylogeny (Münkemüller et al, 2012), which is why it is important to collect as much trait data as possible across as many taxa as possible.…”

Section: Measuring Phylogenetic Relationshipsmentioning

confidence: 99%

What Are the Drivers of Fatty Acid Production? Analysis of Phylogenetic Signals and Other Key Factors

Sbrizzi

2024

Preprint

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<p>Essential fatty acids such as Omega-3s and Omega-6s are key nutrients in supporting individual and ecosystem health. Currently, many essential fatty acids for humans are derived from fish and shellfish; however, growing human populations and declining fish and shellfish populations threaten access to these fatty acids and thus nutritional food security. I predicted that bioprospecting (i.e., the search for chemicals in plants or animals) for essential fatty acids in plants can alleviate some harvesting pressure on aquatic ecosystems and provide new sources of plant-derived essential fatty acids. Understanding the distribution and patterns associated with fatty acid production in plants is the first step to achieving this. Using a meta-analytic approach allowed me to include a wide variety of taxa in the analysis. I used phylogenetic signal analysis to map fatty acid profiles, including both presence and abundance of particular and important groups of essential fatty acids, onto a plant phylogeny encompassing algae, bryophytes, ferns and their allies, gymnosperms, and angiosperms. Additionally, I explored how other factors including cultivation status, tissue, and climate were related to changes in fatty acid production to identify potential drivers of fatty acid production and provide guidance to bioprospecting endeavors. My phylogenetic signal analysis revealed that production of most key fatty acids was randomly or ubiquitously distributed, while the concentration of most key fatty acids (including eicosapentaenoic, docosahexaenoic, and nervonic acid) was significantly clustered in specific clades. Fatty acid content differed significantly between crops and non-crops, as well as among tissues of angiosperms, ferns, and bryophytes for some key fatty acids. Climate (via latitude and global climate deviations) also had significant effects on groups of fatty acids (saturated, unsaturated, mono-unsaturated, and poly-unsaturated fatty acids). In summary, I present new evidence for the roles of phylogeny, climate, cultivation status, and tissue source in the production of key fatty acids in plants using a meta-analytic and phylogenetic signal analysis approach, exploring the evolutionary and environmental contexts that facilitate the production of fatty acids in plants.</p>

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Detecting Phylogenetic Signal and Adaptation in Papionin Cranial Shape by Decomposing Variation at Different Spatial Scales

Cited by 13 publications

References 60 publications

Thirty years of geometric morphometrics: Achievements, challenges, and the ongoing quest for biological meaningfulness

Thirty years of geometric morphometrics: Achievements, challenges, and the ongoing quest for biological meaningfulness

Spatial Integration of Cellular Shapes in Green Microalgae with Complex Morphology, the Genus Micrasterias (Desmidiales, Zygnematophyceae)

What Are the Drivers of Fatty Acid Production? Analysis of Phylogenetic Signals and Other Key Factors

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