Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes.
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http://dx.doi.org/10.7554/eLife.07597 | DOI Listing |
PLoS One
January 2025
Department of Information Systems and Cybersecurity, University of Bisha, Bisha, KSA.
Accurate energy demand forecasting is critical for efficient energy management and planning. Recent advancements in computing power and the availability of large datasets have fueled the development of machine learning models. However, selecting the most appropriate features to enhance prediction accuracy and robustness remains a key challenge.
View Article and Find Full Text PDFHosp Pediatr
January 2025
Department of Pediatrics, New York-Presbyterian Morgan Stanley Children's Hospital/Columbia University Irving Medical Center, New York, New York.
Noah, an 18-month-old infant with trisomy 21, was brought to the emergency department for adenovirus bronchiolitis. He was found to meet criteria for severe malnutrition, and his medical team called Child Protective Services (CPS) with concern for neglect. He remained hospitalized for 1 month while a safe discharge was coordinated by the medical and CPS teams.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
January 2025
Department of Growth and Development, Capital Institute of Pediatrics, Beijing, China.
Context: Bone age assessment (BAA) is critical for pediatric endocrinology. Traditional methods are complex and time-consuming, and current computer-aided systems have made progress but still lacking in robustness.
Objective: Develop simplified BAA methods to aid pediatricians in quick clinical assessments.
Photosynthetica
January 2025
Plant Physiology Sector, State University of Norte Fluminense, Center for Sciences and Agricultural Technologies (CCTA), Avenida Alberto Lamego, 2000, 28015-620, Campos dos Goytacazes, RJ, Brazil.
The aim was to investigate the morphological, photosynthetic, and hydraulic physiological characteristics of different genotypes of under controlled cultivation conditions. Growth, conductance, and hydraulic conductivity of the root system of 16 genotypes were evaluated in Experiment 1 (November 2013). In Experiment 2 (December 2014), in addition to the previous characteristics, gas exchange, photochemical efficiency, leaf water potential, and leaf hydraulic conductivity were investigated in five genotypes.
View Article and Find Full Text PDFPhotosynthetica
January 2025
College of Agronomy, Shandong Agricultural University, Tai'an, 271018 Shandong, China.
This study aims to determine the changes in the photosynthetic performance of leaves at different leaf positions and their correlation and to screen out the basic tillage methods suitable for improving the yield. The decrease in soil salt content significantly improved the PSII performance index and quantum yield for electron transport of the bottom leaf group, synergistically enhanced the photosynthetic performance of summer maize leaves (especially the bottom leaf group), and enhanced the correlation between the bottom, middle (including the ear leaf), and upper leaf groups. Under subsoiling tillage conditions, the bottom leaves could produce more carbohydrates to meet the normal growth of the root system, promote the photosynthesis of the middle leaf group at the ear position, and increase the nutrient output of the upper leaf group to the female ear in the middle and later stages of maize aging.
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