Many conspicuous forms of evolutionary diversity occur within species. Two prominent examples include evolutionary divergence between populations differentially adapted to their local environments (local adaptation), and divergence between females and males in response to sex differences in selection (sexual dimorphism ). These two forms of diversity have inspired vibrant research programmes, yet these fields have largely developed in isolation from one another. Nevertheless, conceptual parallels between these research traditions are striking. Opportunities for local adaptation strike a balance between local selection, which promotes divergence, and gene flow-via dispersal and interbreeding between populations-which constrains it. Sex differences are similarly constrained by fundamental features of inheritance that mimic gene flow. Offspring of each sex inherit genes from same-sex and opposite-sex parents, leading to gene flow between each differentially selected half of the population, and raising the question of how sex differences arise and are maintained. This special issue synthesizes and extends emerging research at the interface between the research traditions of local adaptation and sex differences. Each field can promote understanding of the other, and interactions between local adaptation and sex differences can generate new empirical predictions about the evolutionary consequences of selection that varies across space, time, and between the sexes.This article is part of the theme issue 'Linking local adaptation with the evolution of sex differences'.
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http://dx.doi.org/10.1098/rstb.2017.0414 | DOI Listing |
Eur J Dent Educ
January 2025
QU Health College of Dental Medicine, Qatar University, Doha, Qatar.
Aims: This study aimed to evaluate the impact of community-based dental education (CBDE) on the learning experiences of undergraduate dental students and recent dental graduates from two diverse geographical regions.
Methods: The study followed a cross-sectional design, conducted online using Google Forms, with ethical approval from Qatar University. A non-probability purposive sampling method was used to recruit dental students and recent graduates from three institutions in India and one in Qatar.
Nat Microbiol
January 2025
Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
Bacterial genomes have regions known as defence islands that encode diverse systems to protect against phage infection. Although genetic elements that capture and store gene cassettes in Vibrio species, called integrons, are known to play an important role in bacterial adaptation, a role in phage defence had not been defined. Here we combine bioinformatic and molecular techniques to show that the chromosomal integron of Vibrio parahaemolyticus is a hotspot for anti-phage defence genes.
View Article and Find Full Text PDFSci Rep
January 2025
Organic Plant Production and Agroecosystems Research in the Tropics and Subtropics (OPATS), University of Kassel, Steinstrasse 19, 37213, Witzenhausen, Germany.
Traditional agricultural activities and rural livelihoods in Morocco's High Atlas Mountains are rapidly changing. This is triggered by increasing rural-urban interactions and new livelihood opportunities in cities. A typical example is the oasis of Tizi N'Oucheg in the country's High Atlas Mountains, which over centuries was largely self-sufficient in food grain and livestock production.
View Article and Find Full Text PDFComp Biochem Physiol C Toxicol Pharmacol
January 2025
College of Fisheries and Life Science, Dalian Ocean University, 116023 Dalian, China; Engineering Research Center of Shellfish Culture and Breeding in Liaoning Province, Dalian Ocean University, 116023 Dalian, China.
Aminotransferase is involved in the regulation of amino acid metabolism, which can affect the balance and distribution of amino acids in the organism, help maintain the homeostasis of amino acids in the organism, and play an important role in the environmental adaptation of aquatic animals. In this study, a total of 28 aminotransferase genes were identified in the genome of R. philippinarum.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Software Convergence, Seoul Women's University, Hwarango 621, Nowongu, Seoul, 01797, Republic of Korea.
In this paper, we propose a method to address the class imbalance learning in the classification of focal liver lesions (FLLs) from abdominal CT images. Class imbalance is a significant challenge in medical image analysis, making it difficult for machine learning models to learn to classify them accurately. To overcome this, we propose a class-wise combination of mixture-based data augmentation (CCDA) method that uses two mixture-based data augmentation techniques, MixUp and AugMix.
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