Rapid development and adoption of biofortified, provitamin A-dense orange maize ( L.) varieties could be facilitated by a greater understanding of the natural variation underlying kernel color, including as it relates to carotenoid biosynthesis and retention in maize grain. Greater abundance of carotenoids in maize kernels is generally accompanied by deeper orange color, useful for distinguishing provitamin A-dense varieties to consumers. While kernel color can be scored and selected with high-throughput, low-cost phenotypic methods within breeding selection programs, it remains to be well established as to what would be the logical genetic loci to target for selection for kernel color. We conducted a genome-wide association study of maize kernel color, as determined by colorimetry, in 1,651 yellow and orange inbreds from the Ames maize inbred panel. Associations were found with , encoding the first committed step in carotenoid biosynthesis, and with , which encodes the enzyme responsible for the first committed step in the biosynthesis of the isoprenoid precursors of carotenoids. These genes logically could contribute to overall carotenoid abundance and thus kernel color. The and genes, which can affect carotenoid composition, were also found to be associated with colorimeter values. A pathway-level analysis, focused on genes with evidence of involvement in carotenoid biosynthesis and retention, revealed associations for and , involved in isoprenoid biosynthesis; and , within the core carotenoid pathway; and , involved in cleavage of carotenoids. Collectively, these identified genes appear relevant to the accumulation of kernel color.
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http://dx.doi.org/10.1534/g3.119.400040 | DOI Listing |
Biol Imaging
December 2024
Visual Information Laboratory, University of Bristol, Bristol, UK.
Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal imaging, offering distinct advantages and limitations. OCT offers rapid, noninvasive imaging but can suffer from clarity issues and motion artifacts, while confocal microscopy, providing high-resolution, cellular-detailed color images, is invasive and raises ethical concerns. To bridge the benefits of both modalities, we propose a novel framework based on unsupervised 3D CycleGAN for translating unpaired OCT to confocal microscopy images.
View Article and Find Full Text PDFLife (Basel)
November 2024
Clinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Cervical cancer is a significant health challenge, yet it can be effectively prevented through early detection. Cytology-based screening is critical for identifying cancerous and precancerous lesions; however, the process is labor-intensive and reliant on trained experts to scan through hundreds of thousands of mostly normal cells. To address these challenges, we propose a novel distribution-augmented approach using contrastive self-supervised learning for detecting abnormal squamous cervical cells from cytological images.
View Article and Find Full Text PDFFoods
December 2024
Department of Food Technology, Faculty of Pharmacy, Lascaray Research Center, University of the Basque Country (UPV/EHU), 01006 Vitoria-Gasteiz, Spain.
This review provides an overview of the main vegetable oils of different botanical origin and composition that can be used for frying worldwide (olive and extra-virgin olive oil, high-oleic sunflower oil, rapeseed oil, peanut oil, rice bran oil, sunflower oil, corn oil, soybean oil, cottonseed oil, palm oil, palm kernel oil and coconut oil) and their degradation during this process. It is well known that during this culinary technique, oil's major and minor components degrade throughout different reactions, mainly thermoxidation, polymerization and, to a lesser extent, hydrolysis. If severe high temperatures are employed, isomerization to fatty acyl chains and cyclization are also possible.
View Article and Find Full Text PDFData Brief
December 2024
Department of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
This article introduces a comprehensive dataset developed in collaboration with the Bangladesh Institute of Nuclear Agriculture (BINA) and the Bangladesh Rice Research Institute (BRRI), featuring high-resolution images of 38 local rice varieties. Captured using advanced microscopic cameras, the dataset comprises 19,000 original images, enhanced through data augmentation techniques to include an additional 57,000 images, totaling 76,000 images. These techniques, which include transformations such as scaling, rotation, and lighting adjustments, enrich the dataset by simulating various environmental conditions, providing a broader perspective on each variety.
View Article and Find Full Text PDFFood Sci Nutr
October 2024
Department of Food Science and Technology, Faculty of Agriculture Shahid Bahonar University of Kerman Kerman Iran.
Mayonnaise is an oil-in-water emulsion with 65-85% oil, and its physicochemical and sensory characteristics are greatly influenced by the type of oil used. The nutritional value and oxidation resistance of oil (PAO) are very desirable due to the essential fatty acids (oleic and linoleic) and antioxidant compounds (phenolics and tocopherols). In this research, the physicochemical and sensory characteristics of mayonnaise sauce (MNS) with different levels of PAO (15% (MNS-PAO15%), 30% (MNS-PAO30%), and 100% (MNS-PAO), as a substitute for soybean oil (SBO)) were compared with sauces containing SBO with antioxidants (MNS-SBOA) or without antioxidants (MNS-SBO) during storage for 30 days at 25°C.
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