The degree to which developmental biases affect trait evolution is subject to much debate. Here, we first quantify fluctuating asymmetry as a measure of developmental variability, i.e., the propensity of developmental systems to create some phenotypic variants more often than others, and show that it predicts phenotypic and standing genetic variation as well as deep macroevolutionary divergence in wing shape in sepsid flies. Comparing our data to the findings of a previous study demonstrates that developmental variability in the sepsid fly strongly aligns with mutational, standing genetic, and macroevolutionary variation in the Drosophilidae--a group that diverged from the sepsid lineage ca. 64 My ago. We also find that developmental bias in wing shape aligns with the effects of allometry, but less so with putatively adaptive thermal plasticity and population differentiation along latitude. Our findings demonstrate that developmental bias in fly wings predicts evolvability and macroevolutionary trajectories on a much greater scale than previously appreciated but also suggest that causal explanations for such alignments may go beyond simple constraint hypotheses.
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http://dx.doi.org/10.1073/pnas.2211210120 | DOI Listing |
Dev Sci
March 2025
Department of Psychology, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Addressing racial bias in early childhood is crucial for fostering inclusivity and reducing social inequalities. This study examined the effectiveness of individuation training in reducing racial bias among Canadian preschool-aged children and explored how interracial contact might influence changes in children's implicit anti-Black bias. A total of 113 preschool-age children (60 females, M = 5.
View Article and Find Full Text PDFMethods Enzymol
January 2025
Faculty of Biology, Technion - Israel Institute of Technology, Technion City, Haifa, Israel. Electronic address:
Adenosine-to-Inosine (A-to-I) RNA editing is the most prevalent type of RNA editing, in which adenosine within a completely or largely double-stranded RNA (dsRNA) is converted to inosine by deamination. RNA editing was shown to be involved in many neurological diseases and cancer; therefore, detection of A-to-I RNA editing and quantitation of editing levels are necessary for both basic and clinical biomedical research. While high-throughput sequencing (HTS) is widely used for global detection of editing events, Sanger sequencing is the method of choice for precise characterization of editing site clusters (hyper-editing) and for comparing levels of editing at a particular site under different environmental conditions, developmental stages, genetic backgrounds, or disease states.
View Article and Find Full Text PDFbioRxiv
January 2025
Department of Mathematics, Morgan State University, 1700 E. Cold Spring Lane, Baltimore, 21251, MD, USA.
Single-cell RNA-seq analysis characterizes developmental mechanisms of cellular differentiation, lineage determination, and reprogramming with differential conditioning of the microenvironment. In this article, the underlying dynamics are formulated via optimal transport with algorithms that calculate the transition probability of the state of cell dynamics over time. The algorithmic biases of optimal transport (OT) due to entropic regularization are balanced by Sinkhorn divergence, which normally de-biases the regularized transport by centering them.
View Article and Find Full Text PDFChildren (Basel)
December 2024
Developmental Neurosciences Unit, Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.
There is a high prevalence of sleep behaviour disorders, as well as sleep disordered breathing (SDB), in individuals living with sickle cell disease (SCD). SDB has been systematically reviewed; therefore, this systematic review and meta-analysis focused on sleep behaviour. The comprehensive literature search, following PRISMA reporting guidelines, included all languages, conference proceedings and published theses from inception through February 2022.
View Article and Find Full Text PDFLancet Child Adolesc Health
February 2025
Developmental Biology and Cancer Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK. Electronic address:
Background: International variation in childhood cancer survival might be explained by differences in stage at diagnosis, among other factors. As part of the BENCHISTA project, we aimed to assess geographical variation in tumour stage at diagnosis through the application, by population-based cancer registries working with clinicians, of the international consensus Toronto Childhood Cancer Stage Guidelines.
Methods: This population-based, retrospective cohort study involved 67 cancer registries from 23 European countries, Australia, Brazil, Japan, and Canada.
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