The cyanobacterial type I NAD(P)H dehydrogenase (NDH-1) complexes play a crucial role in a variety of bioenergetic reactions such as respiration, CO2 uptake, and cyclic electron transport around photosystem I. Two types of NDH-1 complexes, NDH-1MS and NDH-1MS′, are involved in the CO2 uptake system. However, the composition and function of the complexes still remain largely unknown. Here, we found that deletion of ndhM caused inactivation of NDH-1-dependent cyclic electron transport around photosystem I and abolishment of CO2 uptake, resulting in a lethal phenotype under air CO2 condition. The mutation of NdhM abolished the accumulation of the hydrophilic subunits of the NDH-1, such as NdhH, NdhI, NdhJ, and NdhK, in the thylakoid membrane, resulting in disassembly of NDH-1MS and NDH-1MS′ as well as NDH-1L. In contrast, the accumulation of the hydrophobic subunits was not affected in the absence of NdhM. In the cytoplasm, the NDH-1 subcomplex assembly intermediates including NdhH and NdhK were seriously affected in the ΔndhM mutant but not in the NdhI-deleted mutant ΔndhI. In vitro protein interaction analysis demonstrated that NdhM interacts with NdhK, NdhH, NdhI, and NdhJ but not with other hydrophilic subunits of the NDH-1 complex. These results suggest that NdhM localizes in the hydrophilic subcomplex of NDH-1 complexes as a core subunit and is essential for the function of NDH-1MS and NDH-1MS′ involved in CO2 uptake in Synechocystis sp. strain PCC 6803.
The large size complex of cyanobacterial NAD(P)H dehydrogenase (NDH-1) complex (NDH-1L) plays crucial role in a variety of bioenergetic reactions such as respiration and cyclic electron flow around photosystem I. Although the complex has been isolated and identified, its biochemical function still remains to be clarified. Here, we highly purified the NDH-1L complex from the cells of Thermosynechococcus elongatus by Ni(2+) affinity chromatography and size-exclusion chromatography. The purified NDH-1L complex has an apparent total molecular mass of approximately 500 kDa. 14 known subunits were identified by mass spectrometry and immunoblotting, including the NdhS subunit containing ferredoxin (Fd)-docking site domain. Surface plasmon resonance measurement demonstrates that the NDH-1L complex could bind to Fd with the binding constant (K D) of 59 µM. Yeast two-hybrid system assay further confirmed the interaction of Fd with NdhS and indicated that NdhH is involved in the interaction. Our results provide direct biochemical evidence that the cyanobacterial NDH-1 complex catalyzes the electron transport from reduced Fd to plastoquinone via NdhS and NdhH.
Brushless DC motors (BLDCM) are widely used for industry control field. Steady speed control accuracy and speed control bandwidth are the key indexes in industrial application. In this paper, a phase-locked loop control system for BLDCM is proposed to achieve better dynamic performance and steady-state accuracy. A ten-state phase-frequency detector is designed to detect the speed error of the rotor. And an all digital PLL control system for BLDCM is realized with Verilog HDL. Finally, a control and drive circuit based on FPGA is implemented and applied to momentum flywheel to verify the feasibility of the proposed control system. Experimental results show that steady speed accuracy could be achieved better than 0.1%.
Transformer-based pre-trained models have revolutionized NLP for superior performance and generality. Fine-tuning pre-trained models for downstream tasks often requires private data, for which federated learning is the de-facto approach (i.e., FedNLP). However, our measurements show that FedNLP is prohibitively slow due to the large model sizes and the resultant high network/computation cost. Towards practical FedNLP, we identify as the key building blocks adapters, small bottleneck modules inserted at a variety of model layers. A key challenge is to properly configure the depth and width of adapters, to which the training speed and efficiency is highly sensitive. No silver-bullet configuration exists: the optimal choice varies across downstream NLP tasks, desired model accuracy, and client resources. To automate adapter configuration, we propose AutoFedNLP, a framework that enhances the existing FedNLP with two novel designs. First, AutoFedNLP progressively upgrades the adapter configuration throughout a training session; the principle is to quickly learn shallow knowledge by only training fewer and smaller adapters at the model's top layers, and incrementally learn deep knowledge by incorporating deeper and larger adapters. Second, AutoFedNLP continuously profiles future adapter configurations by allocating participant devices to trial groups. To minimize client-side computations, AutoFedNLP exploits the fact that a FedNLP client trains on the same samples repeatedly between consecutive changes of adapter configurations, and caches computed activations on clients. Extensive experiments show that AutoFedNLP can reduce FedNLP's model convergence delay to no more than several hours, which is up to 155.5× faster compared to vanilla FedNLP and 48× faster compared to strong baselines.
Chloroplast development involves the coordinated expression of both plastids- and nuclear-encoded genes in higher plants. However, the underlying mechanism still remains largely unknown. In this study, we isolated and characterized an Arabidopsis mutant with an albino lethality phenotype named RNA processing 8 (rp8). Genetic complementation analysis demonstrated that the gene AT4G37920 (RP8) was responsible for the mutated phenotype. The RP8 gene was strongly expressed in photosynthetic tissues at both transcription and translation protein levels. The RP8 protein is localized in the chloroplast and associated with the thylakoid. Disruption of the RP8 gene led to a defect in the accumulation of the rpoA mature transcript, which reduced the level of the RpoA protein, and affected the transcription of PEP-dependent genes. The abundance of the chloroplast rRNA, including 23S, 16S, 4.5S, and 5S rRNA, were reduced in the rp8 mutant, respectively, and the amounts of chloroplast ribosome proteins, such as, PRPS1(uS1c), PRPS5(uS5c), PRPL2 (uL2c), and PRPL4 (uL4c), were substantially decreased in the rp8 mutant, which indicated that knockout of RP8 seriously affected chloroplast translational machinery. Accordingly, the accumulation of photosynthetic proteins was seriously reduced. Taken together, these results indicate that the RP8 protein plays an important regulatory role in the rpoA transcript processing, which is required for the expression of chloroplast genes and chloroplast development in Arabidopsis.
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