Eva Turk

Eva Turk
Research Centre of the Slovenian Academy of Sciences and Arts | ZRC SAZU · Jovan Hadži Institute of Biology

PhD

About

11
Publications
1,809
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31
Citations
Introduction
Eva Turk recently completed her PhD at the Jovan Hadži Institute of Biology, Research Centre of the Slovenian Academy of Sciences and Arts. Eva is interested in Evolutionary Zoology, Biogeography, Phylogenetics, Arachnology, Primatology and Statistics.
Education
September 2017 - September 2021
September 2014 - September 2015
University College London
Field of study
  • Human Evolution and Behaviour
September 2011 - July 2014
University of Ljubljana
Field of study
  • Biology

Publications

Publications (11)
Article
Full-text available
Adult body size, development time, and growth rates are components of organismal life histories, which crucially influence fitness and are subject to trade-offs. If selection is sex-specific, male and female developments can eventually lead to different optimal sizes. This can be achieved through developmental plasticity and sex-specific developmen...
Article
Full-text available
The present study examines the role of personality traits, interpersonal relationships , and sociodemographic factors on perceived stress, related to COVID-19, and compliance with measures to mitigate its spread. Data were collected in the midst of the 'first wave' lockdown, with the survey completed in full by 963 participants. We measured stress,...
Article
Full-text available
Reconstructing biogeographic history is challenging when dispersal biology of studied species is poorly understood, and they have undergone a complex geological past. Here, we reconstruct the origin and subsequent dispersal of coin spiders (Nephilidae: Herennia Thorell), a clade of 14 species inhabiting tropical Asia and Australasia. Specifically,...
Article
Full-text available
The current COVID-19 pandemic caught the decision makers in many countries sub-optimally prepared to respond. To better cope with similar situations in the future, it is vital to understand the major predictors of health-beneficial behavior and adherence to imposed mitigation measures and guidelines. To tailor the promotion of government-imposed me...
Article
Full-text available
Heterogeneity in species diversity is driven by the dynamics of speciation and extinction, potentially influenced by organismal and environmental factors. Here, we explore macroevolutionary trends on a phylogeny of golden orbweavers (spider family Nephilidae). Our initial inference detects heterogeneity in speciation and extinction, with accelerate...
Preprint
The present study examines the role of personality traits, interpersonal relationships, and sociodemographic factors on perceived stress, related to COVID-19, and compliance with measures to mitigate the spread of the virus. Data were collected in the midst of the ‘first wave’ lockdown, with the survey completed in full by 963 participants. Importa...
Preprint
Objective: To investigate the perception and adherence to mitigation measures during the first wave of the COVID-19 epidemic in Slovenia by examining their trends across several sociodemographic categories and personality dimensions. Methods: Descriptive and correlative analyses were used to examine which sociodemographic and personality factors we...
Article
Full-text available
Aim A wholistic biogeographical reconstruction should combine a phylogeny with specifics of organismal biology, plate tectonics and consequent probabilities of historic dispersal events. Here, we demonstrate this approach by reconstructing the geographical origin and sequence of intercontinental colonization of the golden orbweaving spiders, a glob...
Article
Vicariance and dispersal events, combined with intricate global climatic history, have left an imprint on the spatiotemporal distribution and diversity of many organisms. Anelosimus cobweb spiders (Theridiidae), are organisms ranging in behavior from solitary to highly social,l with a cosmopolitan distribution in temperate- to-tropical areas. Their...
Article
Full-text available
Males and females are often subjected to different selection pressures for homologous traits, resulting in sex-specific optima. Because organismal attributes usually share their genetic architectures, sex-specific selection may lead to intralocus sexual conflict. Evolution of sexual dimorphism may resolve this conflict, depending on the degree of c...

Questions

Question (1)
Question
Hi,
I am running BAMM on different Newick-format chronograms. While all other trees run perfectly fine, I am getting some strange results when using one particular tree. This tree originally had a polytomy, which I could not resolve using the multi2di function in R, so I changed branch lengths in the raw text file. Because I could not change branch lengths manually and maintain the tree perfectly ultrametric, I then used the force.ultrametric function to fix it. However, I do not think this is the source of my problem, because the results are off all across the tree, not just in the clade I modified.
Once I run BAMM, the analysis itself is much much slower than it is with my other, much bigger trees (for control file and run info see attachments). The resulting event.data file is huge (65MB) and the plot.bammdata visuals are a mess (see attachments Result1 and Result3). It looks to me as if it does not recognise branches and/or nodes correctly, so it plots rate shifts on branches instead of nodes and, for some reason, plots hundreds of them.
If anyone has seen anything like this before I would greatly appreciate your help. If you need any additional information please contact me. Thanks in advance,
Eva Turk

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Projects

Projects (2)
Project
Females and males commonly differ in the expression of traits. The evolution of sexual dimorphism requires sex-specific selection and at least partly independent genetic variation between the sexes. However, females and males share an almost identical genome that constrains the sexes to respond independently to the selection and may result in a stage when one or both sexes express traits outside their optima. Quantitative genetics provides tools to predict the extent to which the evolution of sexual dimorphism is genetically constrained between sexes by assessing the cross-sex genetic correlation. The cross‐sex genetic correlation can be estimated as rmf =COVAmf∕sqrt(VAf ∗VAm), where COVAmf is the additive genetic covariance between the sexes, and VAm and VAf are additive genetic variances of males and females, respectively. When is close to unity, the sexes are assumed to have a nearly identical genetic architecture for the trait and evolution of sexual dimorphism should be constrained; close to zero values of rmf indicate complete independence in the genetic architecture of the trait between males and females and thus sex independent evolution. A cross‐sex genetic correlation between zero and one suggests that some of the genes acting on the shared trait already differ between males and females and indicates a further possibility for the evolution of sexual dimorphism in the trait. In this project, we aim to assess genetic variances and cross‐sex genetic correlations of size in an extremely sexually-size dimorphic spider, Nephilinis cruentata. In these spiders, females are considerably larger than males, they weigh more than 70X more than males. Our preliminary analyses found rmf close to zero suggesting that females and males do not share genetic architecture for size, indicates a resolved intra-locus sexual conflict and potential for further sex independent evolution of size. The result reflects differences in the effects of sexual and natural selection on body size between the sexes. The amount of genetic variation is significantly lower in females compared to males implying that females have been under the stronger directional selection (for fecundity) compared to males that are more plastic.