KT1 was validated as a novel thickness QTL with major effects on wheat kernel dimensions and weight and fine mapped to a 0.04 cM interval near the chromosome-5A centromere. Kernel size, the principal grain weight determining factor of wheat and a target trait for both domestication and artificial breeding, is mainly defined by kernel length (KL), kernel width (KW) and kernel thickness (KT), of which KW and KT have been shown to be positively related to grain weight (GW). Qkt.nau-5A, a major QTL for KT, was validated using the QTL near-isogenic lines (NILs) in three genetic backgrounds. Genetic analysis using two F populations derived from the NILs showed that Qkt.nau-5A was dominant for thicker kernel and inherited like a single gene and therefore was designated as Kernel Thickness 1 (KT1). With 77 recombinant lines identified from a total of 19,160 F plants from the two NIL-derived F populations, KT1 was mapped to the 0.04 cM Xwgrb1356-Xwgrb1619 interval, which was near the centromere and displayed strong recombination suppression. The KT1 interval showed positive correlation with KW and GW and negative correlation with KL and therefore could be used in breeding for cultivars with round-shaped kernels that are beneficial to higher flour yield. KT1 candidate identification could be achieved through combination of sequence variation analysis with expression profiling of the annotated genes in the interval.
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http://dx.doi.org/10.1007/s00122-021-04020-9 | DOI Listing |
Viruses
December 2024
Applied Biotechnology Institute, California Polytechnic Tech Park, San Luis Obispo, CA 93407, USA.
Coronaviruses continue to disrupt health and economic productivity worldwide. Porcine epidemic diarrhea virus (PEDV) is a devastating swine disease and SARS-CoV-2 is the latest coronavirus to infect the human population. Both viruses display a similar spike protein on the surface that is a target of vaccine development.
View Article and Find Full Text PDFPlants (Basel)
January 2025
College of Coastal Agriculture Sciences, Guangdong Ocean University, Zhanjiang 524088, China.
Salt stress is an important factor affecting the growth and development of rice, and prohexadione calcium (Pro-Ca) plays an important role in alleviating rice salt stress and improving rice yield. However, there are few studies on how Pro-Ca improves rice yield under salt stress by regulating the source-sink metabolism. In this study, we used Guanghong 3 (salt-tolerant variety) and Huanghuazhan (salt-sensitive variety) as experimental materials to investigate the dynamic changes in the synthesis and partitioning of nonstructural carbohydrates among source-sink, the dynamic changes in related enzyme activities, the effects of the source-sink metabolism on yield in rice under salt stress and the effect of Pro-Ca during the filling period.
View Article and Find Full Text PDFNutrients
January 2025
Internal Medicine and Stroke Care Ward, Department of Promoting Health, Maternal-Infant, Excellence and Internal and Specialized Medicine (Promise) G. D'Alessandro, University of Palermo, 90127 Palermo, Italy.
Metabolic syndrome is a cluster of risk factors, including abdominal obesity, insulin resistance, hypertension, dyslipidemia (intended as an increase in triglyceride levels and a reduction in HDL cholesterol levels), and elevated fasting glucose, that increase the risk of cardiovascular disease and type 2 diabetes. With the rising prevalence of metabolic syndrome, effective dietary interventions are essential in reducing these health risks. The Mediterranean diet, rich in fruits, vegetables, whole grains, legumes, nuts, and olive oil and moderate in fish and poultry, has shown promise in addressing metabolic syndrome and its associated components.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China.
Pedestrian detection is widely used in real-time surveillance, urban traffic, and other fields. As a crucial direction in pedestrian detection, dense pedestrian detection still faces many unresolved challenges. Existing methods suffer from low detection accuracy, high miss rates, large model parameters, and poor robustness.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
With the advent of the 5G era, high-precision localization based on mobile communication networks has become a research hotspot, playing an important role in indoor emergency rescue in shopping malls, smart factory management and tracking, as well as precision marketing. However, in complex environments, non-line-of-sight (NLOS) propagation reduces the measurement accuracy of 5G signals, causing large deviations in position solving. In order to obtain high-precision position information, it is necessary to recognize the propagation state of the signal before distance measurement or angle measurement.
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