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Decoding the Virtual 2D Map of the Chloroplast Proteomes
BACKGROUND: The chloroplast is a semi-autonomous organelle having its own genome and corresponding proteome. Although chloroplast genomes have been reported, no reports exist on their corresponding proteomes. Therefore, a proteome-wide analysis of the chloroplast proteomes of 2893 species was conduc...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749319/ https://www.ncbi.nlm.nih.gov/pubmed/36513972 http://dx.doi.org/10.1186/s12575-022-00186-8 |
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author | Mohanta, Tapan Kumar Mohanta, Yugal Kishore Al-Harrasi, Ahmed |
author_facet | Mohanta, Tapan Kumar Mohanta, Yugal Kishore Al-Harrasi, Ahmed |
author_sort | Mohanta, Tapan Kumar |
collection | PubMed |
description | BACKGROUND: The chloroplast is a semi-autonomous organelle having its own genome and corresponding proteome. Although chloroplast genomes have been reported, no reports exist on their corresponding proteomes. Therefore, a proteome-wide analysis of the chloroplast proteomes of 2893 species was conducted, and a virtual 2D map was constructed. RESULTS: The resulting virtual 2D map of the chloroplast proteome exhibited a bimodal distribution. The molecular mass of the chloroplast proteome ranged from 0.448 to 616.334 kDa, and the isoelectric point (pI) ranged from 2.854 to 12.954. Chloroplast proteomes were dominated by basic pI proteins with an average pI of 7.852. The molecular weight and isoelectric point of chloroplast proteome were found to show bimodal distribution. Leu was the most abundant and Cys the least abundant amino acid in the chloroplast proteome. Notably, Trp amino acid was absent in the chloroplast protein sequences of Pilostyles aethiopica. In addition, Selenocysteine (Sec) and Pyrrolysine (Pyl) amino acids were also found to be lacking in the chloroplast proteomes. CONCLUSION: The virtual 2D map and amino acid composition of chloroplast proteome will enable the researchers to understand the biochemistry of chloroplast protein in detail. Further, the amino acid composition of the chloroplast proteome will also allow us to understand the codon usage bias. The codon usage bias and amino acid usage bias of chloroplast will be crucial to understanding their relationship. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12575-022-00186-8. |
format | Online Article Text |
id | pubmed-9749319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97493192022-12-15 Decoding the Virtual 2D Map of the Chloroplast Proteomes Mohanta, Tapan Kumar Mohanta, Yugal Kishore Al-Harrasi, Ahmed Biol Proced Online Research BACKGROUND: The chloroplast is a semi-autonomous organelle having its own genome and corresponding proteome. Although chloroplast genomes have been reported, no reports exist on their corresponding proteomes. Therefore, a proteome-wide analysis of the chloroplast proteomes of 2893 species was conducted, and a virtual 2D map was constructed. RESULTS: The resulting virtual 2D map of the chloroplast proteome exhibited a bimodal distribution. The molecular mass of the chloroplast proteome ranged from 0.448 to 616.334 kDa, and the isoelectric point (pI) ranged from 2.854 to 12.954. Chloroplast proteomes were dominated by basic pI proteins with an average pI of 7.852. The molecular weight and isoelectric point of chloroplast proteome were found to show bimodal distribution. Leu was the most abundant and Cys the least abundant amino acid in the chloroplast proteome. Notably, Trp amino acid was absent in the chloroplast protein sequences of Pilostyles aethiopica. In addition, Selenocysteine (Sec) and Pyrrolysine (Pyl) amino acids were also found to be lacking in the chloroplast proteomes. CONCLUSION: The virtual 2D map and amino acid composition of chloroplast proteome will enable the researchers to understand the biochemistry of chloroplast protein in detail. Further, the amino acid composition of the chloroplast proteome will also allow us to understand the codon usage bias. The codon usage bias and amino acid usage bias of chloroplast will be crucial to understanding their relationship. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12575-022-00186-8. BioMed Central 2022-12-13 /pmc/articles/PMC9749319/ /pubmed/36513972 http://dx.doi.org/10.1186/s12575-022-00186-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mohanta, Tapan Kumar Mohanta, Yugal Kishore Al-Harrasi, Ahmed Decoding the Virtual 2D Map of the Chloroplast Proteomes |
title | Decoding the Virtual 2D Map of the Chloroplast Proteomes |
title_full | Decoding the Virtual 2D Map of the Chloroplast Proteomes |
title_fullStr | Decoding the Virtual 2D Map of the Chloroplast Proteomes |
title_full_unstemmed | Decoding the Virtual 2D Map of the Chloroplast Proteomes |
title_short | Decoding the Virtual 2D Map of the Chloroplast Proteomes |
title_sort | decoding the virtual 2d map of the chloroplast proteomes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749319/ https://www.ncbi.nlm.nih.gov/pubmed/36513972 http://dx.doi.org/10.1186/s12575-022-00186-8 |
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