Cargando…
Virtual 2D map of cyanobacterial proteomes
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 Calo...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529120/ https://www.ncbi.nlm.nih.gov/pubmed/36190972 http://dx.doi.org/10.1371/journal.pone.0275148 |
_version_ | 1784801434915569664 |
---|---|
author | Mohanta, Tapan Kumar Mohanta, Yugal Kishore Avula, Satya Kumar Nongbet, Amilia Al-Harrasi, Ahmed |
author_facet | Mohanta, Tapan Kumar Mohanta, Yugal Kishore Avula, Satya Kumar Nongbet, Amilia Al-Harrasi, Ahmed |
author_sort | Mohanta, Tapan Kumar |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9529120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95291202022-10-04 Virtual 2D map of cyanobacterial proteomes Mohanta, Tapan Kumar Mohanta, Yugal Kishore Avula, Satya Kumar Nongbet, Amilia Al-Harrasi, Ahmed PLoS One Research Article 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. Public Library of Science 2022-10-03 /pmc/articles/PMC9529120/ /pubmed/36190972 http://dx.doi.org/10.1371/journal.pone.0275148 Text en © 2022 Mohanta et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mohanta, Tapan Kumar Mohanta, Yugal Kishore Avula, Satya Kumar Nongbet, Amilia Al-Harrasi, Ahmed Virtual 2D map of cyanobacterial proteomes |
title | Virtual 2D map of cyanobacterial proteomes |
title_full | Virtual 2D map of cyanobacterial proteomes |
title_fullStr | Virtual 2D map of cyanobacterial proteomes |
title_full_unstemmed | Virtual 2D map of cyanobacterial proteomes |
title_short | Virtual 2D map of cyanobacterial proteomes |
title_sort | virtual 2d map of cyanobacterial proteomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529120/ https://www.ncbi.nlm.nih.gov/pubmed/36190972 http://dx.doi.org/10.1371/journal.pone.0275148 |
work_keys_str_mv | AT mohantatapankumar virtual2dmapofcyanobacterialproteomes AT mohantayugalkishore virtual2dmapofcyanobacterialproteomes AT avulasatyakumar virtual2dmapofcyanobacterialproteomes AT nongbetamilia virtual2dmapofcyanobacterialproteomes AT alharrasiahmed virtual2dmapofcyanobacterialproteomes |