is a sand-fixing leguminous shrub with strong resistance to drought, cold, and low soil fertility. As a result, it plays an essential role in combating desertification in northern China, but little is known about its nutrient budget. Nutrient resorption is a key process in plant nutrient conservation and has marked ecological implications for plant fitness and ecosystem nutrient cycling. We studied the effects of both nitrogen (N) addition and reproductive effort on leaf N resorption of in a temperate semi-arid sandy land in China. The results showed that sprouting of the early leaves from over-wintered buds employs a strategy for slow returns on nutrient investment with smaller specific leaf area () and higher N resorption efficiency, whereas the late leaves, which sprout from current-year buds, employ a strategy for quick returns on nutrient investment with higher SLA and lower N resorption efficiency. N addition significantly increased the N resorption efficiency from early leaves while exerting no impact on late leaves, suggesting that the increased N recovery from early leaves is done to sustain the high N demands of late leaves. Reproductive effort did not affect the N resorption from early or late leaves due to the temporal separation between fruit production and leaf senescence. Taken together, our results demonstrate that has evolved different investment strategies for leaf N in early and late leaves to conserve nutrients and facilitate its growth in desertified environments.
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http://dx.doi.org/10.3389/fpls.2020.588865 | DOI Listing |
Healthcare (Basel)
December 2024
Internal Medicine I-Discipline of Medical Semiology I, Department V, Center of Advanced Research in Cardiology and Hemostasology, "Victor Babeș" University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania.
The SARS-CoV-2 virus infection, the most severe pandemic in recent human history, found healthcare systems around the world more or less unprepared. Adjusting to this challenge involved changes in the daily routines of healthcare systems, as well as the patients, once again highlighting the importance of primary care (family physician or general practitioner). In the context of the COVID-19 pandemic, the family doctor in Romania played a crucial role in patient management, rapidly adapting to the changes and challenges imposed by the state of emergency.
View Article and Find Full Text PDFSci Rep
January 2025
USDA-ARS National Peanut Research Laboratory, 1011 Forrester Dr. S.E, 39842, Dawson, GA, USA.
Cercosporidium personatum (CP) causes peanut late leaf spot (LLS) disease with 70% yield losses unless controlled by fungicides. CP grows slowly in culture, exhibiting variable phenotypes. To explain those variations, we analyzed the morphology, genomes, transcriptomes and chemical composition of three morphotypes, herein called RED, TAN, and BROWN.
View Article and Find Full Text PDFTransgenic Res
January 2025
Shaanxi Tobacco Company Baoji City Company, Baoji, 721000, Shaanxi, China.
The involvement of Loose Plant Architecture 1 (LPA1) in regulating plant growth and leaf angle has been previously demonstrated. However, the fundamental genetic background remains unidentified. To further understand the tissue expression profile of the NtLPA1 gene, an overexpression vector (pBI121-NtLPA1) was developed and employed to modify tobacco using the leaf disc method genetically.
View Article and Find Full Text PDFBackground: Understanding the genetic etiology of Alzheimer's disease (AD) has been a major focus of research in neurodegenerative diseases. Amid the three common allelic variants of the apolipoprotein E (APOE) gene in humans, called APOE ε2, ε3 and ε4, the ε4 allele is the most common genetic risk factor for late-onset AD, being found in 20% of the world population.
Method: We used Event-Related Potentials (ERP) and Event-Related Spectral Perturbation (ERSP) as features for classification of apolipoprotein E ϵ4 (APOE ε4) allele carriers in AD patients and healthy controls.
Alzheimers Dement
December 2024
Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: Brain morphology changes due to both natural aging and various pathological conditions. We used magnetic resonance imaging (MRI) and artificial intelligence (AI) to derive three brain age gaps (Wen et al., 2023b) [gray matter (GM), white matter (WM), and functional connectivity (FC)-BAG] for brain aging and 9 dimensional neuroimaging endophenotypes (Wen et al.
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