Australia has one of the oldest modern wheat breeding programs worldwide although the crop was first introduced to the country in 1788. Breeders selected wheat with high adaptation to different Australian climates, while ensuring satisfactory yield and quality. This artificial selection left distinct genomic signatures that can be used to retrospectively understand breeding targets, and to detect economically important alleles. To study the effect of artificial selection on modern cultivars and cultivars released in different Australian states, we genotyped 482 Australian cultivars representing the history of wheat breeding in Australia since 1840. Computer simulation showed that 86 genomic regions were significantly affected by artificial selection. Characterization of 18 major genes known to affect wheat adaptation, yield, and quality revealed that many were affected by artificial selection and contained within regions under selection. Similarly, many reported QTL and genes for yield, quality, and adaptation were also contained in regions affected by artificial selection. These included , and . Interestingly, 17 regions affected by artificial selection were in moderate-to-high linkage disequilibrium with each other with an average value of 0.35 indicating strong simultaneous selection on specific alleles. These regions included , and plus multiple QTL affecting wheat yield and yield components. These results highlighted the effects of the long-term artificial selection on Australian wheat germplasm and identified putative regions underlying important traits in wheat.
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http://dx.doi.org/10.1111/eva.12807 | DOI Listing |
BMC Med Imaging
January 2025
Department of Thoracic Surgery, The Fifth Clinical Medical College of Henan, University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, 450003, China.
Objective: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aims to develop and validate an AI-driven radiomics prediction model for such nodules to enhance diagnostic accuracy.
Methods: Data of 2,591 pulmonary nodules from five medical centers (Zhengzhou People's Hospital, etc.
Sci Rep
January 2025
University Institute of Computing, Chandigarh University, Punjab, India.
Automatic Sign Language Recognition Systems (ASLR) offers smooth communication between hearing-impaired and normal-hearing individuals, enhancing educational opportunities for impaired. However, it struggles with "curse of dimensionality" due to excessive features resulting in prolonged training time and exhaustive computational demand. This paper proposes technique that integrates machine learning and swarm intelligence to effectively address this issue.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Computer and AI, Cairo University, Giza, Egypt.
Drug discovery and development is a challenging and time-consuming process. Laboratory experiments conducted on Vidarabine showed IC 6.97 µg∕mL, 25.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Shandong university, School of Chemistry and Chemical Engineering, No 27, Shandananlu,, 250100, Jinan, CHINA.
The regulation of artificial interphase for advanced Zn anode is an effective solution to achieve superior electrochemical performance for aqueous batteries. However, the deployment of atomically precise architectures and ligand engineering to achieve functionalization-oriented regulatory screening is lacking, which is hindered by higher requirements for synthetic chemistry and structural chemistry. Herein, we have first performed ligand engineering which selected zinc ion trapping ligands (-CH3) based on the coordination effect, and zinc substrate binding ligands (-N=N-xC6H5) based on the electrostatic interaction.
View Article and Find Full Text PDFJ Prosthet Dent
January 2025
Associate Professor, Department of Dental Medicine, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain.
Statement Of Problem: Intraoral scans can be articulated in maximum intercuspal position (MIP) by using an artificial intelligence (AI) based program; however, the impact of edentulous areas on the accuracy of the MIP located using this AI-based program is unknown.
Purpose: The purpose of this in vitro study was to assess the impact of edentulous areas (0, 1, 2, 3, and 4 posterior mandibular teeth) on the accuracy of the MIP located using 3 intraoral scanners (IOSs) and an AI-based program.
Material And Methods: Stone casts articulated in MIP in an articulator were digitized (T710).
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