A powerful way to map functional genomic variation and reveal the genetic basis of local adaptation is to associate allele frequency across the genome with environmental conditions. Serpentine soils, characterized by high heavy-metal content and low calcium-to-magnesium ratios, are a classic context for studying adaptation of plants to local soil conditions. To investigate whether Arabidopsis lyrata is locally adapted to serpentine soil, and to map the polymorphisms responsible for such adaptation, we pooled DNA from individuals from serpentine and nonserpentine soils and sequenced each 'gene pool' with the Illumina Genome Analyzer. The polymorphisms that are most strongly associated with soil type are enriched at heavy-metal detoxification and calcium and magnesium transport loci, providing numerous candidate mutations for serpentine adaptation. Sequencing of three candidate loci in the European subspecies of A. lyrata indicates parallel differentiation of the same polymorphism at one locus, confirming ecological adaptation, and different polymorphisms at two other loci, which may indicate convergent evolution.
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http://dx.doi.org/10.1038/ng.515 | DOI Listing |
J Gastrointest Cancer
January 2025
Department of Radiotherapy and Radiation Oncology, Jena University Hospital, 07747, Jena, Germany.
Purpose: Synchronous esophageal (EC) and rectal carcinoma (RC) is a rare and challenging condition, particularly in curative-intended treatment. Especially locally advanced tumors may not be suitable for primary resection and require individual multimodal treatment. This review examines curative-intended management of synchronous EC and RC.
View Article and Find Full Text PDFTrop Med Health
January 2025
School of Medical Laboratory Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Background: Oromia regional state experiencing cholera outbreaks in a protracted pattern despite various interventions at local and regional levels. This study aimed to examine the implementation of Risk Communication and Community Engagement (RCCE) activities for cholera outbreak control in the region.
Methods: We conducted a quantitative and qualitative mixed-method study.
Infect Genet Evol
January 2025
Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand. Electronic address:
The growing issue of drug resistance, particularly multidrug-resistant TB (MDR-TB), has exacerbated this problem. The rise of drug resistance TB is a severe global health concern. In Thailand, a persistent community outbreak of primary MDR-TB has been confirmed in the Tha Maka district of Kanchanaburi province, with an increasing prevalence of MDR-TB among newly diagnosed pulmonary tuberculosis cases.
View Article and Find Full Text PDFEur J Pharm Biopharm
January 2025
National Advanced Medical Engineering Research Center, China State Institute of Pharmaceutical Industry, Shanghai 201203 PR China. Electronic address:
Current analgesics on the market exhibit a short duration of action and induce the production of inflammatory factors in tissues damaged by surgical procedures. Inflammatory factor production can create acidic environments, limiting drug delivery. In this study, we developed a novel injectable formulation comprising bupivacaine multivesicular liposomes of high osmotic pressure (H-MVL) and meloxicam nanocrystals (MLX) in a thermosensitive gel (H-MVL/MLX@GEL) adapted to the microenvironment for long-term postoperative analgesia.
View Article and Find Full Text PDFNeuroimage
January 2025
College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, 030024, China. Electronic address:
The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions.
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