scholarly journals A multispecies coalescent model for quantitative traits

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Fábio K Mendes ◽  
Jesualdo A Fuentes-González ◽  
Joshua G Schraiber ◽  
Matthew W Hahn

We present a multispecies coalescent model for quantitative traits that allows for evolutionary inferences at micro- and macroevolutionary scales. A major advantage of this model is its ability to incorporate genealogical discordance underlying a quantitative trait. We show that discordance causes a decrease in the expected trait covariance between more closely related species relative to more distantly related species. If unaccounted for, this outcome can lead to an overestimation of a trait’s evolutionary rate, to a decrease in its phylogenetic signal, and to errors when examining shifts in mean trait values. The number of loci controlling a quantitative trait appears to be irrelevant to all trends reported, and discordance also affected discrete, threshold traits. Our model and analyses point to the conditions under which different methods should fare better or worse, in addition to indicating current and future approaches that can mitigate the effects of discordance.

2018 ◽  
Author(s):  
Fábio K. Mendes ◽  
Jesualdo A. Fuentes-González ◽  
Joshua G. Schraiber ◽  
Matthew W. Hahn

AbstractModern phylogenetic methods used to study how traits evolve often require a single species tree as input, and do not take underlying gene tree discordance into account. Such approaches may lead to errors in phylogenetic inference because of hemiplasy — the process by which single changes on discordant trees appear to be homoplastic when analyzed on a fixed species tree. Hemiplasy has been shown to affect inferences about discrete traits, but it is still unclear whether complications arise when quantitative traits are analyzed. In order to address this question and to characterize the effect of hemiplasy on traits controlled by a large number of loci, we present a multispecies coalescent model for quantitative traits evolving along a species tree. We demonstrate theoretically and through simulations that hemiplasy decreases the expected covariances in trait values between more closely related species relative to the covariances between more distantly related species. This effect leads to an overestimation of a trait’s evolutionary rate parameter, to a decrease of the trait’s phylogenetic signal, and to increased false positive rates in comparative methods such as the phylogenetic ANOVA. We also show that hemiplasy affects discrete, threshold traits that have an underlying continuous liability, leading to false inferences of convergent evolution. The number of loci controlling a quantitative trait appears to be irrelevant to the trends reported, for all analyses. Our results demonstrate that gene tree discordance and hemiplasy are a problem for all types of traits, across a wide range of methods. Our analyses also point to the conditions under which hemiplasy is most likely to be a factor, and suggest future approaches that may mitigate its effects.


2011 ◽  
Vol 279 (1727) ◽  
pp. 316-325 ◽  
Author(s):  
Robert T. Jones ◽  
Patricio A. Salazar ◽  
Richard H. ffrench-Constant ◽  
Chris D. Jiggins ◽  
Mathieu Joron

The origin and evolution of supergenes have long fascinated evolutionary biologists. In the polymorphic butterfly Heliconius numata , a supergene controls the switch between multiple different forms, and results in near-perfect mimicry of model species. Here, we use a morphometric analysis to quantify the variation in wing pattern observed in two broods of H. numata with different alleles at the supergene locus, ‘ P ’. Further, we genotype the broods to associate the variation we capture with genetic differences. This allows us to begin mapping the quantitative trait loci that have minor effects on wing pattern. In addition to finding loci on novel chromosomes, our data, to our knowledge, suggest for the first time that ancestral colour-pattern loci, known to have major effects in closely related species, may contribute to the wing patterns displayed by H. numata , despite the large transfer of effects to the supergene.


Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 218
Author(s):  
Dwueng-Chwuan Jhwueng ◽  
Chih-Ping Wang

Regression analysis using line equations has been broadly applied in studying the evolutionary relationship between the response trait and its covariates. However, the characteristics among closely related species in nature present abundant diversities where the nonlinear relationship between traits have been frequently observed. By treating the evolution of quantitative traits along a phylogenetic tree as a set of continuous stochastic variables, statistical models for describing the dynamics of the optimum of the response trait and its covariates are built herein. Analytical representations for the response trait variables, as well as their optima among a group of related species, are derived. Due to the models’ lack of tractable likelihood, a procedure that implements the Approximate Bayesian Computation (ABC) technique is applied for statistical inference. Simulation results show that the new models perform well where the posterior means of the parameters are close to the true parameters. Empirical analysis supports the new models when analyzing the trait relationship among kangaroo species.


2021 ◽  
Author(s):  
Benoît Perez-Lamarque ◽  
Odile Maliet ◽  
Marc-André Selosse ◽  
Florent Martos ◽  
Hélène Morlon

AbstractWhether interactions between species are conserved on evolutionary time-scales is a central question in ecology and evolution. It has spurred the development of both correlative and model-based approaches for testing phylogenetic signal in interspecific interactions: do closely related species interact with similar sets of partners? Here we test the statistical performances of some of these approaches using simulations. We find that one of the most widely used model-based approach, the Phylogenetic Bipartite Linear Model (PBLM), often detects phylogenetic signal when it should not. Simple Mantel tests investigating the correlation between phylogenetic distances and dissimilarities in sets of interacting partners instead have low type-I error rates and satisfactory statistical power, especially when using weighted interactions and phylogenetic dissimilarity metrics; however, they often artifactually detect anti-phylogenetic signals. Partial Mantel tests, which are used to partial out the phylogenetic signal in the number of partners, actually fail at correcting for this confounding effect, and we instead propose the sequential use of simple Mantel tests. We also explore the ability of simple Mantel tests to analyze clade-specific phylogenetic signal, while current methods only measure an overall signal. We provide general guidelines and an empirical application on an interaction network between orchids and mycorrhizal fungi.


mSystems ◽  
2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Florent Mazel ◽  
Katherine M. Davis ◽  
Andrew Loudon ◽  
Waldan K. Kwong ◽  
Mathieu Groussin ◽  
...  

ABSTRACTHost-associated microbiota composition can be conserved over evolutionary time scales. Indeed, closely related species often host similar microbiota; i.e., the composition of their microbiota harbors a phylogenetic signal, a pattern sometimes referred to as “phylosymbiosis.” Elucidating the origins of this pattern is important to better understand microbiota ecology and evolution. However, this is hampered by our lack of theoretical expectations and a comprehensive overview of phylosymbiosis prevalence in nature. Here, we use simulations to provide a simple expectation for when we should expect this pattern to occur and then review the literature to document the prevalence and strength of phylosymbiosis across the host tree of life. We demonstrate that phylosymbiosis can readily emerge from a simple ecological filtering process, whereby a given host trait (e.g., gut pH) that varies with host phylogeny (i.e., harbors a phylogenetic signal) filters preadapted microbes. We found marked differences between methods used to detect phylosymbiosis, so we proposed a series of practical recommendations based on using multiple best-performing approaches. Importantly, we found that, while the prevalence of phylosymbiosis is mixed in nature, it appears to be stronger for microbiotas living in internal host compartments (e.g., the gut) than those living in external compartments (e.g., the rhizosphere). We show that phylosymbiosis can theoretically emerge without any intimate, long-term coevolutionary mechanisms and that most phylosymbiosis patterns observed in nature are compatible with a simple ecological process. Deviations from baseline ecological expectations might be used to further explore more complex hypotheses, such as codiversification.IMPORTANCEPhylosymbiosis is a pattern defined as the tendency of closely related species to host microbiota whose compositions resemble each other more than host species drawn at random from the same tree. Understanding the mechanisms behind phylosymbiosis is important because it can shed light on rules governing the assembly of host-associated microbiotas and, potentially, their coevolutionary dynamics with hosts. For example, is phylosymbiosis a result of coevolution, or can it be generated by simple ecological filtering processes? Beyond qualitative theoretical models, quantitative theoretical expectations can provide new insights. For example, deviations from a simple baseline of ecological filtering may be used to test more-complex hypotheses (e.g., coevolution). Here, we use simulations to provide evidence that simple host-related ecological filtering can readily generate phylosymbiosis, and we contrast these predictions with real-world data. We find that while phylosymbiosis is widespread in nature, phylosymbiosis patterns are compatible with a simple ecological model in the majority of taxa. Internal compartments of hosts, such as the animal gut, often display stronger phylosymbiosis than expected from a purely ecological filtering process, suggesting that other mechanisms are also involved.


2018 ◽  
Author(s):  
Fábio K Mendes ◽  
Jesualdo A Fuentes-González ◽  
Joshua G Schraiber ◽  
Matthew W Hahn

2019 ◽  
Vol 2 (1) ◽  
pp. e201800191 ◽  
Author(s):  
Abril Izquierdo ◽  
Martin Fahrenberger ◽  
Tania Persampieri ◽  
Mark Q Benedict ◽  
Tom Giles ◽  
...  

Modifications in gene expression determine many of the phenotypic differentiations between closely related species. This is particularly evident in reproductive tissues, where evolution of genes is more rapid, facilitating the appearance of distinct reproductive characteristics which may lead to species isolation and phenotypic variation. Large-scale, comparative analyses of transcript expression levels have been limited until recently by lack of inter-species data mining solutions. Here, by combining expression normalisation across lineages, multivariate statistical analysis, evolutionary rate, and protein–protein interaction analysis, we investigate ortholog transcripts in the male accessory glands and testes across five closely related species in the Anopheles gambiae complex. We first demonstrate that the differentiation by transcript expression is consistent with the known Anopheles phylogeny. Then, through clustering, we discover groups of transcripts with tissue-dependent expression patterns conserved across lineages, or lineage-dependent patterns conserved across tissues. The strongest associations with reproductive function, transcriptional regulatory networks, protein–protein subnetworks, and evolutionary rate are found for the groups of transcripts featuring large expression differences in lineage or tissue-conserved patterns.


2022 ◽  
Vol 6 (1) ◽  
Author(s):  
José V Pérez Santa-Rita ◽  
John W Brown ◽  
Joaquín Baixeras

Abstract This is the first morphological study of the male hindwing costal roll (CR), a scent organ of tortricid moths of the subtribe Cochylina (Lepidoptera, Tortricidae). This composite organ varies from a simple membranous roll of the hindwing costa to a complex roll that incorporates a hairpencil and two types of microscales. All the components show taxon-dependent traits. Both optical and electron microscopy are used to elucidate the structure. The costal roll is associated primarily with the Aethes Billberg, Saphenista Walsingham, Phalonidia Le Marchand, and Cochylis Treitschke groups of genera. The general notions that wing male scent organs are phylogenetically labile and that they may have arisen among closely related species as a consequence of habitat sharing are explored using network analysis and phylogenetic signal. Taxa with a costal roll certainly support a more complex area of the food web, however, the character shows a strong phylogenetic signal and is not the result of a sporadic evolution.


Oecologia ◽  
2021 ◽  
Author(s):  
Marius Klotz ◽  
Jörg Schaller ◽  
Susanne Kurze ◽  
Bettina M. J. Engelbrecht

AbstractSilicon (Si) accumulation is known to alleviate various biotic and abiotic stressors in plants with potential ecological consequences. However, for dicotyledonous plants our understanding of Si variation remains limited. We conducted a comparative experimental study to investigate (1) interspecific variation of foliar Si concentrations across 37 dicotyledonous forbs of temperate grasslands, (2) intraspecific variation in foliar Si concentration in response to soil Si availability, the influence of (3) phylogenetic relatedness, and (4) habitat association to moisture. Foliar Si differed markedly (approx. 70-fold) across the investigated forbs, with some species exhibiting Si accumulation similar to grasses. Foliar Si increased with soil Si availability, but the response varied across species: species with higher Si accumulation capacity showed a stronger response, indicating that they did not actively upregulate Si uptake under low soil Si availability. Foliar Si showed a pronounced phylogenetic signal, i.e., closely related species exhibited more similar foliar Si concentrations than distantly related species. Significant differences in foliar Si concentration within closely related species pairs nevertheless support that active Si uptake and associated high Si concentrations has evolved multiple times in forbs. Foliar Si was not higher in species associated with drier habitats, implying that in dicotyledonous forbs of temperate grasslands high foliar Si is not an adaptive trait to withstand drought. Our results demonstrated considerable inter- and intraspecific variation in foliar Si concentration in temperate forbs. This variation should have pervasive, but so far understudied, ecological consequences for community composition and functioning of temperate grasslands under land-use and climate change.


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