Raúl Arias-Carrasco , Victor Aliaga-Tobar , Sebastian Abades , Vinicius Maracaja-Coutinho
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引用次数: 0
Abstract
Noncoding RNAs (ncRNAs) play a crucial role in the fine-tuning regulation of cells in all domains of life. In archaea, ncRNAs remain poorly studied, with only a few ncRNA classes well characterised. Archaea are renowned for their ability to survive in harsh environments, though they have been discovered in a variety of other habitats as well. We have determined the ncRNA candidate repertoire across 270 archaeal genomes using secondary structure inferences and sequence similarity searches. Here, 33 non-coding RNA classes were identified in these genomes. The correlation between all ncRNA classes and optimal growth temperature (OGT) was R2 0.65. Phylogenetic analysis based on multiple alignments of a set of highly conserved proteins revealed preferences for ncRNA classes at the phylum and genus levels. All of the ncRNA data generated by this study reveals a correlation between the genomic abundance of specific ncRNA classes and the optimal growth temperature, especially for the sRNA C/D box type. All the genomic and ncRNA archaeal data generated is a valuable resource that will stimulate experimentalists to investigate whether or not their predicted ncRNAs are correct and biologically meaningful, boosting further associative studies using the unique features of this domain.
期刊介绍:
BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.