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A number of evolutionary hypotheses can be tested by comparing selective pressures among sets of branches in a phylogenetic tree. When the question of interest is to identify specific sites within genes that may be evolving differently, a common approach is to perform separate analyses on subsets of sequences and compare parameter estimates in a post hoc fashion. This approach is statistically suboptimal and not always applicable. Here, we develop a simple extension of a popular fixed effects likelihood method in the context of codon-based evolutionary phylogenetic maximum likelihood testing, Contrast-FEL. It is suitable for identifying individual alignment sites where any among the K≥2 sets of branches in a phylogenetic tree have detectably different ω ratios, indicative of different selective regimes. Using extensive simulations, we show that Contrast-FEL delivers good power, exceeding 90% for sufficiently large differences, while maintaining tight control over false positive rates, when the model is correctly specified. We conclude by applying Contrast-FEL to data from five previously published studies spanning a diverse range of organisms and focusing on different evolutionary questions.
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http://dx.doi.org/10.1093/molbev/msaa263 | DOI Listing |
Microbiol Resour Announc
September 2025
Research Department for Limnology, Universität Innsbruck, Mondsee, Austria.
is a pathogenic bacterium that can survive in hostile environments and inside heterotrophic protozoan cells. Here, we present transcriptomic data for grown in a rich medium, cultured under starvation conditions, treated with hydrogen peroxide, and extracted from cells after 8 and 15 h of infection.
View Article and Find Full Text PDFObjective: The objective of this retrospective study is to develop and validate an artificial intelligence model constrained by the anatomical structure of the brain with the aim of improving the accuracy of prenatal diagnosis of fetal cerebellar hypoplasia using ultrasound imaging.
Background: Fetal central nervous system dysplasia is one of the most prevalent congenital malformations, and cerebellar hypoplasia represents a significant manifestation of this anomaly. Accurate clinical diagnosis is of great importance for the purpose of prenatal screening of fetal health.
Front Hum Neurosci
August 2025
Brain and Cognitive Sciences Program, School of Psychological and Behavioral Sciences, Southern Illinois University Carbondale, Carbondale, IL, United States.
Our research contributes to debates about the role of Universal Grammar constraints and crosslinguistic influence in sequential bilingual acquisition and use. We investigate experimentally how adult Romanian L1-English L2 bilinguals interpret sequential adjectival modifiers of a noun in recursive set-subset contexts in both languages (e.g.
View Article and Find Full Text PDFJ Nematol
February 2025
Department of Nematology, University of California, Riverside, 900 University Ave., Riverside, CA 92521.
, or tree houseleek (), is a bushy, perennial succulent and a popular ornamental plant in regions such as California, New Zealand, Australia, Sicily, Gibraltar, and Chile. It features rosettes of soft, waxy leaves at the tips of sparsely branched or occasionally single, bare stems. It is drought-tolerant and has a variety of colors and forms, making it a popular ornamental plant.
View Article and Find Full Text PDFUltrasound Med Biol
August 2025
Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China; Wenling Institute of Big Data and Artificial Intelligence Institute in Medicine, Taizhou, Zhejiang, China; Center of Intelligent Diagnosis and Therapy (Taizhou), Hangzhou Instit
Objective: Accurate identification of common lesions (benign, metastatic carcinoma, lymphoma) of axillary lymph nodes (ALNs) is of vital importance for clinical decision-making, directly affecting tumor staging, treatment strategy formulation and prognosis of patients. However, current diagnostic methods by radiologists have limited accuracy in differentiating between benign lesions, metastatic carcinoma, and lymphoma.This study aimed to develop and validate the Axillary Lymph Node Interpretable Prediction (ALNIP) model for classifying axillary lymph nodes into benign, metastatic carcinoma, or lymphoma based on ultrasound imaging.
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