8 research outputs found

    How to approach the study of syndromes in macroevolution and ecology.

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    Funder: National Park Foundation; Id: http://dx.doi.org/10.13039/100001261Funder: National Council for Scientific Research and TechniquesFunder: Mt Cuba CenterSyndromes, wherein multiple traits evolve convergently in response to a shared selective driver, form a central concept in ecology and evolution. Recent work has questioned the existence of some classic syndromes, such as pollination and seed dispersal syndromes. Here, we discuss some of the major issues that have afflicted research into syndromes in macroevolution and ecology. First, correlated evolution of traits and hypothesized selective drivers is often relied on as the only evidence for adaptation of those traits to those hypothesized drivers, without supporting evidence. Second, the selective driver is often inferred from a combination of traits without explicit testing. Third, researchers often measure traits that are easy for humans to observe rather than measuring traits that are suited to testing the hypothesis of adaptation. Finally, species are often chosen for study because of their striking phenotypes, which leads to the illusion of syndromes and divergence. We argue that these issues can be avoided by combining studies of trait variation across entire clades or communities with explicit tests of adaptive hypotheses and that taking this approach will lead to a better understanding of syndrome-like evolution and its drivers

    It takes a village - overcoming gender-biased mentorship in academia

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    Effective mentoring implies a two-way relationship in which mentees obtain benefits from the knowledge and training provided by mentors, and mentors gain the possibility of contemplating and learning new perspectives, of self-evaluating their roles and, in consequence, growing as professionals. Mentorship relationships cannot be separated from cultural and societal backgrounds. Thus, they often reflect systemic biases requiring active effort to counteract institutional inequities. Such efforts, particularly when formalized as programs, expand training opportunities for both mentors and mentees. Mentorship networks, in which multiple mentor-mentee relationships are involved, therefore increase collective performance by magnifying resources. Importantly, mentorship exceeds the relationships of students and their direct supervisors (often reflected in co-authorship in publications), and in fact, mentors are often purposely picked outside the direct publication network. A recent large data analysis by AlShebli et al. (2020) showed results of presumed “mentor-protege” relationships after mining millions of coauthor pairs in publications over time, suggesting gender-insensitive changes in institutional mentorship policies based on value-skewed academic success. Because mentorship engages a broader sense of community in academia, mentorship outcomes cannot be quantified solely by the impact of publications

    Functional profiling of the Saccharomyces cerevisiae genome

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    Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.Journal ArticleResearch Support, Non-U.S. Gov'tSCOPUS: ar.jinfo:eu-repo/semantics/publishe

    IAPT chromosome data 33

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    IAPT chromosome data 33-Extended version

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