Novel hybrid encodes both continuous and split tRNA genes?

J Biomol Struct Dyn

Indian Association for the Cultivation of Science, Calcutta 700032, India.

Published: April 2011

tRNAs are mostly transcribed from un-fragmented genes, but occasionally also from split genes, with separated 5' and 3' halves. A reanalysis of the existing data on Staphylothermus marinus and Staphylothermus hellenicus hints of a novel hybrid gene that encodes both an un-fragmented and a 5'-split-half together in one. The corresponding 3' complement-gene is located elsewhere on the genome. As un-fragmented, the hybrid gene transcribes to tRNA(lys)(TTT). But as 5'-half, it trans-splices with its 3'-complement-half to tRNA(lys)(CTT), the tRNA missed so far. This hybrid of the split and the un-fragmented in one suggests a deeper synergy between the two, and hints of co-evolution. Furthermore, in a subtle contrast to the widely held idea of conservation of 3'-half, it is precisely the 3'-half that varies in these two tRNAs; the 5'-half remains conserved.

Download full-text PDF

Source
http://dx.doi.org/10.1080/07391102.2011.10508610DOI Listing

Publication Analysis

Top Keywords

novel hybrid
8
hybrid gene
8
hybrid encodes
4
encodes continuous
4
continuous split
4
split trna
4
trna genes?
4
genes? trnas
4
trnas transcribed
4
un-fragmented
4

Similar Publications

The world is moving towards the utilization of hydrogen vehicle technology because its advantages are uniformity in power production, more efficiency, and high durability when compared to fossil fuels. So, in this work, the Proton Exchange Membrane Fuel Stack (PEMFS) device is selected for producing the energy for the hydrogen vehicle. The merits of this fuel technology are the possibility of operating less source temperature, and more suitability for stationery and transportation applications.

View Article and Find Full Text PDF

Strategic model for integrating biogas a framework for sustainable energy integration in agro-industries.

Sci Rep

December 2024

Industrial and Systems Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

The framework of the methodology presented in this study is an effort to integrate and optimize the agro-industry sector, especially energy in biogas. In this study, the technique of the system in functional analysis is shown systematically to translate various energy requirements in the factory as criteria for performance and functional design to be integrated, optimized, and energy efficient. The case study results indicated that biogas power plants, with a capacity of 1.

View Article and Find Full Text PDF

To address the challenges related to active power dissipation and node voltage fluctuation in the practical transformation of power grids in the field of new energy such as wind and photovoltaic power generation, an improved Dung Beetle Optimization Algorithm Based on a Hybrid Strategy of Levy Flight and Differential Evolution (LDEDBO) is proposed. This paper systematically addresses this issue from three aspects: firstly, optimizing the DBO algorithm using Chebyshev chaotic mapping, Levy flight strategy, and differential evolution algorithm; secondly, validating the algorithm's feasibility through real-time network reconfiguration at random time points within a 24-h period; and finally, applying the LDEDBO to address the dynamic reconfiguration problems of the IEEE-33 and IEEE-69 node bus. The simulation indicates that the power dissipation of the IEEE-33 node bus is decreased by 28.

View Article and Find Full Text PDF

Surface electromyography (sEMG) data has been extensively utilized in deep learning algorithms for hand movement classification. This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. We propose a U-Net architecture incorporating a MobileNetV2 encoder, enhanced by a novel Bidirectional Long Short-Term Memory (BiLSTM) and metaheuristic optimization for spatial feature extraction in hand gesture and motion recognition.

View Article and Find Full Text PDF

This paper presents a novel and comprehensive control framework for the Rotary Inverted Pendulum (RIP), focusing on a hybrid control strategy that addresses the limitations of conventional methods in nonlinear and complex systems. The proposed controller synergistically combines an Optimized Fuzzy Logic Controller (OFLC) with Sliding Mode Control (SMC), leveraging the strengths of both techniques to achieve superior performance. The integration of Particle Swarm Optimization (PSO) into the OFLC significantly enhances its adaptability and precision, while the SMC law provides robust disturbance rejection and system stability.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!