Premise Of The Study: Automatic self-fertilization may influence the geography of speciation, promote reproductive isolation between incipient species, and lead to ecological differentiation. As such, selfing taxa are predicted to co-occur more often with their closest relatives than are outcrossing taxa. Despite suggestions that this pattern may be general, the extent to which mating system influences range overlap in close relatives has not been tested formally across a diverse group of plant species pairs.
Methods: We tested for a difference in range overlap between species pairs for which zero, one, or both species are selfers, using data from 98 sister species pairs in 20 genera across 15 flowering plant families. We also used divergence time estimates from time-calibrated phylogenies to ask how range overlap changes with divergence time and whether this effect depends on mating system.
Key Results: We found no evidence that automatic self-fertilization influenced range overlap of closely related plant species. Sister pairs with more recent divergence times had modestly greater range overlap, but this effect did not depend on mating system.
Conclusions: The absence of a strong influence of mating system on range overlap suggests that mating system plays a minor or inconsistent role compared with many other mechanisms potentially influencing the co-occurrence of close relatives.
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http://dx.doi.org/10.3732/ajb.1500078 | DOI Listing |
Sleep
January 2025
Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO USA.
Study Objectives: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) may improve sleep dysfunction, a common non-motor symptom of Parkinson disease (PD). Improvement in motor symptoms correlates with DBS-suppressed local field potential (LFP) activity, particularly in the beta frequency (13 - 30 Hz). Although well-characterized in the short term, little is known about the innate progression of these oscillations across the sleep-wake cycle.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Respiratory Medicine, National Reference Center for Rare Pulmonary Diseases, Louis Pradel Hospital, Hospices Civils de Lyon, European Reference Network (ERN)-LUNG, 28 Avenue Doyen Lepine, 69677 Lyon, France.
Antibodies against Ku have been described in patients with various connective tissue diseases. The objective of this study was to describe the clinical, functional, and imaging characteristics of interstitial lung disease in patients with anti-Ku antibodies. : This single-center, retrospective observational study was conducted at a tertiary referral institution.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Core Informatics, Graduate School of Informatics, Osaka Metropolitan University, Osaka 558-8585, Japan.
Recently, the application of deep neural networks to detect anomalies on medical images has been facing the appearance of noisy labels, including overlapping objects and similar classes. Therefore, this study aims to address this challenge by proposing a unique attention module that can assist deep neural networks in focusing on important object features in noisy medical image conditions. This module integrates global context modeling to create long-range dependencies and local interactions to enable channel attention ability by using 1D convolution that not only performs well with noisy labels but also consumes significantly less resources without any dimensionality reduction.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
School of Material Science and Engineering, Shandong Jianzhu University, Jinan 250101, China.
Wire-arc additive manufacturing (WAAM) has fully empowered the design and manufacturing of metals with its unparalleled efficiency and flexibility. However, the process has relatively poor shape control capabilities, often requiring machining post-processing. This study explores a tungsten inert gas arc remelting (TIGAR) process to improve the surface flatness of WAAM components at a low cost and significantly reduce machining waste (up to 76%), which is crucial for the sustainable development of the process.
View Article and Find Full Text PDFBMC Genomics
January 2025
Department of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN, 47907, USA.
Background: The profitability of the beef industry is directly influenced by the fertility rate and reproductive performance of both males and females, which can be improved through selective breeding. When performing genomic analyses, genetic markers located on the X chromosome have been commonly ignored despite the X chromosome being one of the largest chromosomes in the cattle genome. Therefore, the primary objectives of this study were to: (1) estimate variance components and genetic parameters for eighteen male and five female fertility and reproductive traits in Nellore cattle including X chromosome markers in the analyses; and (2) perform genome-wide association studies and functional genomic analyses to better understand the genetic background of male and female fertility and reproductive performance traits in Nellore cattle.
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