The aim of this study was to evaluate effects of selection using the Percoll density gradient method on motility, mitochondrial membrane potential (ΔΨMit) and fertility in a subpopulation of testicular spermatozoa obtained from Atlantic salmon (Salmo salar). Samples were divided into three groups: Control (C), T1 (45/90 % Percoll®) and T2 (45/60 % Percoll®). Sperm motility was evaluated using CASA (Computer-Assisted Sperm Analysis), ΔΨMit using flow cytometry, and fertility evaluating whether cleavage of fertilised eggs had occurred after 16 h of incubation at 10 °C. Results indicate that motility was greater in T1 (92 ± 2.91 %) and T2 (89 ± 2.88 %) than in the Control (83.2 ± 2.04 %). The percentage of ΔΨMit was 88.3 ± 0.58 % and 85 ± 2% for T1 and T2, respectively, compared to 35 ± 6.24 % for the control. The fertility rates were 76 ± 9.1 % and 70 ± 8.1 % for T1 and T2, respectively, compared with 66 ± 12 % for the control. The kinetic characteristics for T1 were curvilinear velocity (VCL): 92.44 ± 21.12 μm/s, average path velocity (VAP): 85.87 ± 21.83 μm/s; and for T2 VCL was 78.69 ± 17.63 μm/s and VAP was 73.62 ± 17.08 μm/s. The results indicate sperm motility and ΔΨMit were greater in T1 and T2 compared with the control (P < 0.05). Similarly, there was an increase in the fertilisation rate compared to the control. The results from this study are the first where sperm quality variables were evaluated for Salmo salar testicular sperm using the Percoll® density gradient method.
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http://dx.doi.org/10.1016/j.anireprosci.2020.106344 | DOI Listing |
Photosynth Res
January 2025
Research Institute for Interdisciplinary Science and Graduate School of Natural Science and Technology, Okayama University, Okayama, 700-8530, Japan.
Red algae are photosynthetic eukaryotes whose light-harvesting complexes (LHCs) associate with photosystem I (PSI). In this study, we examined characteristics of PSI-LHCI, PSI, and LHCI isolated from the red alga Galdieria sulphuraria NIES-3638. The PSI-LHCI supercomplexes were purified using anion-exchange chromatography followed by hydrophobic-interaction chromatography, and finally by trehalose density gradient centrifugation.
View Article and Find Full Text PDFMagn Reson Med
January 2025
Department 8.1 - Biomedical Magnetic Resonance, Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
Purpose: To develop a low-cost, high-performance, versatile, open-source console for low-field MRI applications that can integrate a multitude of different auxiliary sensors.
Methods: A new MR console was realized with four transmission and eight reception channels. The interface cards for signal transmission and reception are installed in PCI Express slots, allowing console integration in a commercial PC rack.
J Mol Model
January 2025
Nanjing Hydraulic Research Institute, Shanghai, China.
Context: This study systematically investigated the effects of single S-atom vacancy defects and composite defects (vacancy combined with doping) on the properties of MoS using density functional theory. The results revealed that N-doped S-vacancy MoS has the smallest composite defect formation energy, indicating its highest stability. Doping maintained the direct band gap characteristic, with shifts in the valence band top.
View Article and Find Full Text PDFNbO(OH) has emerged as a highly attractive photocatalyst based on its chemical stability, energetic band positions, and large active lattice sites. Compared to other various photocatalytic semiconductors, it can be synthesized easily. This study presents a systematic analysis of pristine and doped NbO(OH) based on recent developments in related research.
View Article and Find Full Text PDFBayesian Anal
June 2024
Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.
The exponential random graph model (ERGM) is a popular model for social networks, which is known to have an intractable likelihood function. Sampling from the posterior for such a model is a long-standing problem in statistical research. We analyze the performance of the stochastic gradient Langevin dynamics (SGLD) algorithm (also known as noisy Longevin Monte Carlo) in tackling this problem, where the stochastic gradient is calculated via running a short Markov chain (the so-called inner Markov chain in this paper) at each iteration.
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