A central challenge for biology is to reveal how different levels of biological variation interact and shape diversity. However, recent experimental studies have indicated that prevailing models of evolution cannot readily explain the link between micro- and macroevolution at deep timescales. Here, we suggest that this paradox could be the result of a common mechanism driving a correlated pattern of evolution. We examine the proportionality between genetic variance and patterns of trait evolution in a system whose developmental processes are well understood to gain insight into how such alignment between morphological divergence and genetic variation might be maintained over macroevolutionary time. Primate molars present a model system by which to link developmental processes to evolutionary dynamics because of the biased pattern of variation that results from the developmental architecture regulating their formation. We consider how this biased variation is expressed at the population level, and how it manifests through evolution across primates. There is a strong correspondence between the macroevolutionary rates of primate molar divergence and their genetic variation. This suggests a model of evolution in which selection is closely aligned with the direction of genetic variance, phenotypic variance, and the underlying developmental architecture of anatomical traits.
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Cancer Causes Control
December 2024
Department of Clinical Nutrition, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui, China.
Breast cancer is the leading cause of cancer-related death and the most common cancer among women worldwide. It is crucial to identify potentially modifiable risk factors to intervene and prevent breast cancer effectively. Sleep factors have emerged as a potentially novel risk factor for female breast cancer.
View Article and Find Full Text PDFMol Neurobiol
December 2024
Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Virus encephalitis (VE), recognized as one of the common kinds of central nervous system (CNS) diseases after virus infection, has a surprising correlation with autoimmune encephalitis (AE) when autoimmune antibodies emerge in cerebrospinal fluid (CSF) or serum. Herpes simplex virus and Epstein-Barr virus are the most critical agents worldwide. By molecular mimicry, herpes viruses can invade the brain directly or indirectly.
View Article and Find Full Text PDFMalays J Pathol
December 2024
Universiti Sains Malaysia, School of Dental Sciences, Health Campus, Kubang Kerian, Kelantan, Malaysia.
Introduction: Oral cancer is considered the sixth most common form of cancer worldwide. It causes significant morbidity and mortality, especially in low socioeconomic status groups. However, Cancer chemoprevention encompasses the use of specific compounds to suppress the growth of tumours or inhibit carcinogenesis.
View Article and Find Full Text PDFPhytochem Anal
December 2024
Institute of Oncology, the First Clinical Medical College, Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Objectives: We used ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS), bioinformatics, and in vivo experiments to study the anti-colorectal cancer (CRC) effects of Wenzi Jiedu Decoction (WJD).
Methods: Detected the main components of WJD by UPLC-MS/MS. Obtained WJD targets and CRC targets through the open source database.
Acta Biochim Biophys Sin (Shanghai)
December 2024
Fibrosis is the main pathological feature of aortic stiffness, which is a common extracardiac comorbidity of heart failure with preserved ejection fraction (HFpEF) and a contributor to left ventricular (LV) diastolic dysfunction. Systemic low-grade inflammation plays a crucial role in the pathogenesis of HFpEF and the development of vascular fibrosis. In this study, we investigate the inflammatory mechanism of aortic fibrosis in HFpEF using a novel mouse model.
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