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A physical map of Aegilops geniculata chromosome 7M was constructed, and a novel purple coleoptile gene was localized at 7MS bin FL 0.60-0.65 by development of wheat-Ae. geniculata structural aberrations. The development of wheat-wild relative chromosomal structure aberrations not only provides novel germplasm resources for wheat improvement, but also aids in mapping desirable genes to specific chromosomal regions. Aegilops geniculata (2n = 4x = 28, UUMM), a wild relative of common wheat, possesses many favorable genes. In this study, Ae. geniculata chromosome 7M was identified as harboring a purple coleoptile gene by phenotypic evaluation of Chinese Spring (CS)-Ae. geniculata addition and substitution lines. To construct a physical map of chromosome 7M and localize the purple coleoptile gene, 59 molecular markers specific to 7M were developed, and 43 wheat-Ae. geniculata 7M chromosome structure aberrations were generated based on chromosome centromeric breakage-fusion and ph1b-induced homoeologous recombination. Segment sizes and breakpoint positions of each 7M structure aberration were further characterized using in situ hybridization and molecular marker analysis. Consequently, a physical map of chromosome 7M was constructed with 59 molecular markers, comprising six bins with 28 markers on 7MS and six bins with 31 markers on 7ML, and the purple coleoptile gene was mapped to an interval of FL 0.60-0.65 on 7MS. The newly developed wheat-Ae. geniculata 7M structural aberrations and the physical map of 7M will facilitate the transfer and utilization of desirable genes from 7M in the future.
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http://dx.doi.org/10.1007/s00122-024-04792-w | DOI Listing |
Health Policy
August 2025
MRM, University of Montpellier, Montpellier, France. Electronic address:
Background: Recent financial, environmental, and health crises have underscored the critical-but often overlooked-role of healthcare workers (HCWs) for health system resilience. Given the ongoing physical and psychological demands placed on this workforce, understanding the factors that influence their resilience is essential.
Objective: This scoping review aimed to map and synthesise multidisciplinary evidence on meso-level organisational factors that influence individual resilience among HCWs.
J Obstet Gynaecol
December 2025
Maternal and Foetal Medicine Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Background: Maternal obesity is a growing global health concern, yet its impact on maternal haemodynamic throughout pregnancy remains underexplored. We investigated haemodynamic adaptations across gestation in women with high body mass index (BMI) (≥35 kg/m) and results were compared to low-risk controls (BMI 18.5-24.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia.
The Internet of Things (IoT) includes vehicles, homes, and integrated sensors and many interconnected physical devices that gather and share data to interact with their environment. Data moving across multiple levels is vulnerable to various security threats, including leaks and unauthorized access. IoT faces significant challenges in balancing strict security with optimal performance metrics such as energy efficiency, throughput, and memory.
View Article and Find Full Text PDFJ Biophotonics
September 2025
Institute for Physical Research of National Academy of Sciences of Armenia, Ashtarak, Armenia.
We report the results of an experimental study of the movement and trapping of Gram-negative Escherichia coli (E. coli) bacteria in broth suspensions, under photovoltaic fields generated by an optical Bessel beam illumination of the surface of a lithium niobate crystal (photovoltaic tweezers). The study was performed using a phase-sensitive transmission microscope.
View Article and Find Full Text PDFTalanta
August 2025
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China; Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education, Zhejiang University of Technology, Hangzhou, China; Zhejiang Key Laboratory of High-Precision and Efficiency H
Rapid and accurate quantification of mineral elements in plants facilitates the optimization of cultivation strategies and provides theoretical support for heavy metal pollution control. Compared to traditional chemical detection methods, laser-induced breakdown spectroscopy (LIBS) offers rapid, simultaneous multi-element analysis. However, the quantitative accuracy of LIBS is often hindered by challenges such as sample heterogeneity and the inherent matrix effects arising from the physical and chemical properties of samples.
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