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Soil nitrogen (N) availability affects plant carbon (C) utilization. However, it is unclear how various tree functional types respond to N addition in terms of C assimilation, allocation, and storage. Here, a microcosm experiment with dual C and N labeling was conducted to study the effects of N addition (i.e., control, 0 g N kg; moderate N addition, 1.68 g N kg; and high N addition, 3.36 g N kg soil) on morphological traits, on changes in nonstructural carbohydrates (NSC) in different organs, as well as on C and N uptake and allocation in three European temperate forest tree species (i.e., Acer pseudoplatanus, Picea abies and Abies alba). Our results demonstrated that root N uptake rates of the three tree species increased by N addition. In A. pseudoplatanus, N uptake by roots, N allocation to aboveground organs, and aboveground biomass allocation significantly improved by moderate and high N addition. In A. alba, only the high N addition treatment considerably raised aboveground N and C allocation. In contrast, biomass as well as C and N allocation between above and belowground tissues were not altered by N addition in P. abies. Meanwhile, NSC content as well as C and N coupling (represented by the ratio of relative C and N allocation rates in organs) were affected by N addition in A. pseudoplantanus and P. abies but not in A. alba. Overall, A. pseudoplatanus displayed the highest sensitivity to N addition and the highest N requirement among the three species, while P. abies had a lower N demand than A. alba. Our findings highlight that the responses of C and N allocation to soil N availability are species-specific and vary with the amount of N addition.
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http://dx.doi.org/10.1016/j.scitotenv.2024.172164 | DOI Listing |
J Am Soc Nephrol
September 2025
Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Background: Genetic modifiers are believed to play an important role in the onset and severity of polycystic kidney disease (PKD), but identifying these modifiers has been challenging due to the lack of effective methodologies.
Methods: We generated zebrafish mutants of IFT140, a skeletal ciliopathy gene and newly identified autosomal dominant PKD (ADPKD) gene, to examine skeletal development and kidney cyst formation in larval and juvenile mutants. Additionally, we utilized ift140 crispants, generated through efficient microhomology-mediated end joining (MMEJ)-based genome editing, to compare phenotypes with mutants and conduct a pilot genetic modifier screen.
Mol Pharm
September 2025
Department of Patho-Functional Bioanalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida Shimoadachi-cho, Sakyo-Ku, Kyoto 606-8501, Japan.
Fibroblast activation protein (FAP) is an attractive biomarker for tumor-targeting radioligands. While [Ga]Ga-FAPI-46 is a promising FAP-targeting radioligand for cancer diagnosis, clinical application of [Lu]Lu-FAPI-46 for targeted radionuclide therapy is limited due to its insufficient tumor retention. Albumin binder (ALB) including 4-(-iodophenyl)butyric acid is widely utilized to improve tumor accumulation of radioligands.
View Article and Find Full Text PDFCereb Cortex
August 2025
Faculty of Psychology and Education Science, Department of Psychology, University of Geneva, Chemin des Mines 9, Geneva, 1202, Switzerland.
Language learning and use relies on domain-specific, domain-general cognitive and sensory-motor functions. Using fMRI during story listening and behavioral tests, we investigated brain-behavior associations between linguistic and non-linguistic measures in individuals with varied multilingual experience and reading skills, including typical reading participants (TRs) and dyslexic readers (DRs). Partial Least Square Correlation revealed a main component linking cognitive, linguistic, and phonological measures to amodal/associative brain areas.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Max Planck Institute for Solar System Research, Göttingen 37077, Germany.
Turbulent convection governs heat transport in both natural and industrial settings, yet optimizing it under extreme conditions remains a significant challenge. Traditional control strategies, such as predefined temperature modulation, struggle to achieve substantial enhancement. Here, we introduce a deep reinforcement learning (DRL) framework that autonomously discovers optimal control policies to maximize heat transfer in turbulent Rayleigh-Bénard convection.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba 305-8577, Japan.
All organisms are exposed to various stressors, which can sometimes lead to organismal death, depending on their intensity. While stress-induced organismal death has been observed in many species, the underlying mechanisms remain unclear. In this study, we investigated the molecular mechanisms of stress-induced organismal death in the fruit fly .
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