The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes

The current theoretical proposals of minimal genomes have not attempted to outline the essential machinery for proper translation in cells. Here, we present a proposal of a minimal translation machinery based on (1) a comparative analysis of bacterial genomes of insects’ endosymbionts using a machin...

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Main Authors: María José Garzón, Mariana Reyes-Prieto, Rosario Gil
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.858983/full
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author María José Garzón
Mariana Reyes-Prieto
Mariana Reyes-Prieto
Rosario Gil
Rosario Gil
author_facet María José Garzón
Mariana Reyes-Prieto
Mariana Reyes-Prieto
Rosario Gil
Rosario Gil
author_sort María José Garzón
collection DOAJ
description The current theoretical proposals of minimal genomes have not attempted to outline the essential machinery for proper translation in cells. Here, we present a proposal of a minimal translation machinery based on (1) a comparative analysis of bacterial genomes of insects’ endosymbionts using a machine learning classification algorithm, (2) the empiric genomic information obtained from Mycoplasma mycoides JCVI-syn3.0 the first minimal bacterial genome obtained by design and synthesis, and (3) a detailed functional analysis of the candidate genes based on essentiality according to the DEG database (Escherichia coli and Bacillus subtilis) and the literature. This proposed minimal translational machinery is composed by 142 genes which must be present in any synthetic prokaryotic cell designed for biotechnological purposes, 76.8% of which are shared with JCVI-syn3.0. Eight additional genes were manually included in the proposal for a proper and efficient translation.
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spelling doaj.art-11f6c8e586c743f4bb0a6e4a97f69d502022-12-22T03:09:50ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-04-011310.3389/fmicb.2022.858983858983The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced GenomesMaría José Garzón0Mariana Reyes-Prieto1Mariana Reyes-Prieto2Rosario Gil3Rosario Gil4Departament de Genètica, Universitat de València, Burjassot, SpainInstitute for Integrative Systems Biology, Universitat de València–Consejo Superior de Investigaciones Científicas, Paterna, SpainSequencing and Bioinformatics Service, Foundation for the Promotion of Sanitary and Biomedical Research of the Valencian Community, Valencia, SpainDepartament de Genètica, Universitat de València, Burjassot, SpainInstitute for Integrative Systems Biology, Universitat de València–Consejo Superior de Investigaciones Científicas, Paterna, SpainThe current theoretical proposals of minimal genomes have not attempted to outline the essential machinery for proper translation in cells. Here, we present a proposal of a minimal translation machinery based on (1) a comparative analysis of bacterial genomes of insects’ endosymbionts using a machine learning classification algorithm, (2) the empiric genomic information obtained from Mycoplasma mycoides JCVI-syn3.0 the first minimal bacterial genome obtained by design and synthesis, and (3) a detailed functional analysis of the candidate genes based on essentiality according to the DEG database (Escherichia coli and Bacillus subtilis) and the literature. This proposed minimal translational machinery is composed by 142 genes which must be present in any synthetic prokaryotic cell designed for biotechnological purposes, 76.8% of which are shared with JCVI-syn3.0. Eight additional genes were manually included in the proposal for a proper and efficient translation.https://www.frontiersin.org/articles/10.3389/fmicb.2022.858983/fulltranslation machineryminimal genomeendosymbiontsJCVI-sync3.0cosymbionts
spellingShingle María José Garzón
Mariana Reyes-Prieto
Mariana Reyes-Prieto
Rosario Gil
Rosario Gil
The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes
Frontiers in Microbiology
translation machinery
minimal genome
endosymbionts
JCVI-sync3.0
cosymbionts
title The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes
title_full The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes
title_fullStr The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes
title_full_unstemmed The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes
title_short The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes
title_sort minimal translation machinery what we can learn from naturally and experimentally reduced genomes
topic translation machinery
minimal genome
endosymbionts
JCVI-sync3.0
cosymbionts
url https://www.frontiersin.org/articles/10.3389/fmicb.2022.858983/full
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