G-matrix stability in clinally diverging populations of an annual weed

Henry, Georgia A.; Stinchcombe, John R.

doi:10.1093/evolut/qpac005

Cited by 11 publications

(3 citation statements)

References 60 publications

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“…In some cases, G differs substantially between populations (Wood and Brodie 2015) and between species (Chakrabarty and Schielzeth 2020). Nevertheless, in many cases the structure of G is stable over relatively long timescales (Arnold et al 2008, McGlothlin et al 2022) and major environmental clines (Henry and Stinchcombe 2023). Our results are consistent with this latter group of studies, showing that the overall structure of G is relatively constant across lineages.…”

Section: Discussionmentioning

confidence: 99%

Multivariate divergence in wild microbes: no evidence for evolution along a genetic line of least resistance

Gluck‐Thaler

Shaikh

Wood

2022

Preprint

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Fungal endophytes are ubiquitous residents within plant tissues. While taxonomic characterization of endophyte communities is common, we know little about how even closely related individuals differ functionally because fungal taxonomy is often a poor predictor of variation in ecological traits, including those related to the metabolism of plant-derived substrates. Here, we tested whether two fungal endophyte lineages from the same family (Mollisiaceae) sampled from the same host species (Vaccinium angustifolium) differ phenotypically by comparing metabolic trait means and correlations related to growth across a panel of plant phenolics, carbohydrates, and tissue extracts. We found that lineages harbor significant, selectable metabolic variation. While one lineage grew faster across nearly all substrates, lineages differed in their mean response to specific substrates. For example, lineages responded differently to phenolics and carbohydrates, most dramatically for caffeic acid which abolished differences between lineages. However, most correlations between substrates within lineages were positive, suggesting that metabolic evolution is generally unconstrained by trade-offs among the examined traits. Our findings illustrate that characterizing multivariate phenotypes- measuring multiple metabolic traits and the correlations between them- provides key insight into the process of endophyte evolution and reveals that both fungal-and plant-specific determinants shape opportunities for ecological differentiation within plant microbiomes.

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Section: Discussionmentioning

confidence: 99%

Multivariate divergence in wild microbes: no evidence for evolution along a genetic line of least resistance

Gluck‐Thaler

Shaikh

Wood

2022

Preprint

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“…There have been criticisms and caveats from various standpoints over this research program, including its blindness to mechanistic basis, simplistic assumptions, and uncertainty in the stability of G over pertinent timescales (Pigliucci, 2006;Morrissey et al, 2010;Milocco & Salazar-Ciudad, 2020Henry & Stinchcombe, 2023b). Nevertheless, active research effort exemplifies persistent interest in understanding potential roles of constraints in macroevolutionary Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…Together, these lines of studies can be seen as a trend to connect the phenotypic divergence patterns at the inter-population level to the phenotypic variability at the intra-population level. There have been criticisms and caveats from various standpoints over this research program, including its blindness to mechanistic basis, simplistic assumptions, and uncertainty in the stability of G over pertinent timescales (Pigliucci, 2006; Morrissey et al ., 2010; Milocco & Salazar-Ciudad, 2020, 2022; Henry & Stinchcombe, 2023b). Nevertheless, active research effort exemplifies persistent interest in understanding potential roles of constraints in macroevolutionary phenotypic diversification (Polly & Mock, 2018; Watanabe, 2018; Machado, 2020; Renaud et al ., 2021; Rhoda et al ., 2023).…”

Section: Introductionmentioning

confidence: 99%

Distribution theories for genetic line of least resistance and evolvability measures

Watanabe

2023

Preprint

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Quantitative genetic theory on multivariate character evolution predicts that a population’s response to directional selection tends to happen around the major axis of the genetic covariance matrixG—the so-called genetic line of least resistance. Inferences on the genetic constraints in this sense have traditionally been made by measuring the angle of deviation of evolutionary trajectories from the major axis, or more recently by calculating the amount of genetic variance—the Hansen–Houle evolvability—available along the trajectories. However, there have not been clear practical guidelines on how these quantities can be interpreted, especially in a high-dimensional space. This study summarizes pertinent distribution theories for relevant quantities, pointing out that they can be written as ratios of quadratic forms in evolutionary trajectory vectors by takingGas a parameter. For example, a beta distribution with appropriate parameters can be used as a null distribution for squared cosine of the angle of deviation from a major axis or subspace. More general cases can be handled with the probability distribution of ratios of quadratic forms in normal variables. Apart from its use in hypothesis-testing, this latter approach could potentially be used as a heuristic tool for looking into various selection scenarios like directional and/or correlated selection as parameterized with mean and covariance of selection gradients.

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Colonization of a Novel Host Plant Reduces Phenotypic Variation

Nilsson,

Tsuboi,

Opedal

et al. 2024

Evol Biol

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Understanding the evolution of evolvability—the evolutionary potential of populations—is key to predicting adaptation to novel environments. Despite growing evidence that evolvability structures adaptation, it remains unclear how adaptation to novel environments in turn influences evolvability. Here we address the interplay between adaptation and evolvability in the peacock fly Tephritis conura, which recently underwent an adaptive change in ovipositor length following a host shift. We compared the evolvability of morphological traits, including ovipositor length, between the ancestral and the derived host race. We found that mean evolvability was reduced in females of the derived host race compared to the ancestral host race. However, patterns of multivariate evolvability (considering trait covariances) were very similar in both host races, and populations of the derived host race had diverged from the ancestral host race in directions of greater-than-average evolvability. Exploration of phenotypic integration patterns further revealed relatively high levels of independent variation in ovipositor length compared to other measured traits, allowing some degree of independent divergence. Our findings suggest that adaptation to novel environments can reduce mean evolvability without major changes in patterns of variational constraints, and that trait autonomy helps facilitate divergence of functionally important traits.

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G-matrix stability in clinally diverging populations of an annual weed

Cited by 11 publications

References 60 publications

Multivariate divergence in wild microbes: no evidence for evolution along a genetic line of least resistance

Multivariate divergence in wild microbes: no evidence for evolution along a genetic line of least resistance

Distribution theories for genetic line of least resistance and evolvability measures

Colonization of a Novel Host Plant Reduces Phenotypic Variation

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