• Medientyp: E-Artikel
  • Titel: Virtual 2D map of cyanobacterial proteomes
  • Beteiligte: Mohanta, Tapan Kumar; Mohanta, Yugal Kishore; Avula, Satya Kumar; Nongbet, Amilia; Al-Harrasi, Ahmed
  • Erschienen: Public Library of Science (PLoS), 2022
  • Erschienen in: PLOS ONE, 17 (2022) 10, Seite e0275148
  • Sprache: Englisch
  • DOI: 10.1371/journal.pone.0275148
  • ISSN: 1932-6203
  • Schlagwörter: Multidisciplinary
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  • Beschreibung: Cyanobacteria are prokaryotic Gram-negative organisms prevalent in nearly all habitats. A detailed proteomics study of Cyanobacteria has not been conducted despite extensive study of their genome sequences. Therefore, we conducted a proteome-wide analysis of the Cyanobacteria proteome and found Calothrix desertica as the largest (680331.825 kDa) and Candidatus synechococcus spongiarum as the smallest (42726.77 kDa) proteome of the cyanobacterial kingdom. A Cyanobacterial proteome encodes 312.018 amino acids per protein, with a molecular weight of 182173.1324 kDa per proteome. The isoelectric point (pI) of the Cyanobacterial proteome ranges from 2.13 to 13.32. It was found that the Cyanobacterial proteome encodes a greater number of acidic-pI proteins, and their average pI is 6.437. The proteins with higher pI are likely to contain repetitive amino acids. A virtual 2D map of Cyanobacterial proteome showed a bimodal distribution of molecular weight and pI. Several proteins within the Cyanobacterial proteome were found to encode Selenocysteine (Sec) amino acid, while Pyrrolysine amino acids were not detected. The study can enable us to generate a high-resolution cell map to monitor proteomic dynamics. Through this computational analysis, we can gain a better understanding of the bias in codon usage by analyzing the amino acid composition of the Cyanobacterial proteome.
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