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Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
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Archaea, named after the Archaean eon, represent a unique domain of life, distinct from bacteria and eukaryotes, with remarkable traits. Their cellular and molecular features, ecological adaptability, and industrial relevance highlight their importance in understanding life processes and leveraging biotechnology.Cellular and Molecular CharacteristicsA defining feature of archaea is their unique membrane composition. Archaeal membranes contain ether-linked isoprenoid lipids, which confer...
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Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches
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Riboswitches in Archaea.

Angela Gupta1, D Swati1,2

  • 1Department of Bioinformatics, Mahila Mahavidyalaya, Banaras Hindu University, Varanasi, India.

Combinatorial Chemistry & High Throughput Screening
|April 26, 2019
PubMed
Summary

This study identified various riboswitches in Archaea, revealing their sporadic distribution. Bioinformatics methods are crucial for discovering conserved riboswitches across all life domains.

Keywords:
Archaeaaptamerexpression platformfree energyncRNAriboswitches.

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Area of Science:

  • * Genomics and bioinformatics
  • * Molecular biology
  • * RNA biology

Background:

  • * Riboswitches are non-coding RNA regulators found in various organisms.
  • * They bind metabolites, altering gene expression.
  • * Their presence and conservation across life domains are of significant interest.

Purpose of the Study:

  • * To identify and characterize riboswitches within the Archaeal domain.
  • * To investigate the conservation patterns of riboswitches in Archaea.
  • * To explore the distribution of known riboswitch classes in these unique microorganisms.

Main Methods:

  • * Analysis of completely sequenced Archaeal genomes from NCBI.
  • * Utilized FASTA sequence files and GenBank information.
  • * Employed three bioinformatics approaches: ab initio, consensus structure prediction, and statistical model-based prediction.

Main Results:

  • * Sporadic distribution of known bacterial riboswitches (TPP, FMN, Guanidine, Lysine, c-di-AMP) found in Archaeal genomes.
  • * Identification of a novel riboswitch class sensing cyclic di-GMP (c-di-GMP) in some Archaea.
  • * Demonstrated the presence of diverse riboswitch classes within Archaea.

Conclusions:

  • * Bioinformatics tools are essential for identifying conserved riboswitches.
  • * These methods aid in understanding the prevalence of riboswitches across all domains of life.
  • * Wet lab experiments are necessary for final confirmation of riboswitch function.