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Microbial high throughput phenomics: The potential of an irreplaceable omics

The phenotype-genotype landscape is a projection coming from detailed phenotypic and genotypic data under environmental pressure. Although phenome of microbes or microbial consortia mirrors the functional expression of a genome or set of genomes, metabolic traits rely on the phenotype. Phenomics has...

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Autores principales: Acin-Albiac, Marta, Filannino, Pasquale, Gobbetti, Marco, Di Cagno, Raffaella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490730/
https://www.ncbi.nlm.nih.gov/pubmed/32994888
http://dx.doi.org/10.1016/j.csbj.2020.08.010
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author Acin-Albiac, Marta
Filannino, Pasquale
Gobbetti, Marco
Di Cagno, Raffaella
author_facet Acin-Albiac, Marta
Filannino, Pasquale
Gobbetti, Marco
Di Cagno, Raffaella
author_sort Acin-Albiac, Marta
collection PubMed
description The phenotype-genotype landscape is a projection coming from detailed phenotypic and genotypic data under environmental pressure. Although phenome of microbes or microbial consortia mirrors the functional expression of a genome or set of genomes, metabolic traits rely on the phenotype. Phenomics has the potential to revolution functional genomics. In this review, we discuss why and how phenomics was developed. We described how phenomics may extend our understanding of the assembly of microbial consortia and their functionality, and then we outlined the novel applications within the study of phenomes using Omnilog platform together with a revision of its current application to study lactic acid bacteria (LAB) metabolic traits during food processing. LAB were proposed as a suitable model system to analyze and discuss the implementation and exploitation of this emerging omics approach. We introduced the ‘phenotype switching’, as a new phenotype microarray approach to get insights in bacterial physiology. An overview of methodologies and tools to manage and analyze the generated data was provided. Finally, pro and cons of pipelines developed so far, including the most innovative ones were critically analyzed. We propose an R pipeline, recently deposited, which allows to automatically analyze Omnilog data integrating the latest approaches and implementing the new concepts described here.
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spelling pubmed-74907302020-09-28 Microbial high throughput phenomics: The potential of an irreplaceable omics Acin-Albiac, Marta Filannino, Pasquale Gobbetti, Marco Di Cagno, Raffaella Comput Struct Biotechnol J Review The phenotype-genotype landscape is a projection coming from detailed phenotypic and genotypic data under environmental pressure. Although phenome of microbes or microbial consortia mirrors the functional expression of a genome or set of genomes, metabolic traits rely on the phenotype. Phenomics has the potential to revolution functional genomics. In this review, we discuss why and how phenomics was developed. We described how phenomics may extend our understanding of the assembly of microbial consortia and their functionality, and then we outlined the novel applications within the study of phenomes using Omnilog platform together with a revision of its current application to study lactic acid bacteria (LAB) metabolic traits during food processing. LAB were proposed as a suitable model system to analyze and discuss the implementation and exploitation of this emerging omics approach. We introduced the ‘phenotype switching’, as a new phenotype microarray approach to get insights in bacterial physiology. An overview of methodologies and tools to manage and analyze the generated data was provided. Finally, pro and cons of pipelines developed so far, including the most innovative ones were critically analyzed. We propose an R pipeline, recently deposited, which allows to automatically analyze Omnilog data integrating the latest approaches and implementing the new concepts described here. Research Network of Computational and Structural Biotechnology 2020-08-18 /pmc/articles/PMC7490730/ /pubmed/32994888 http://dx.doi.org/10.1016/j.csbj.2020.08.010 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Acin-Albiac, Marta
Filannino, Pasquale
Gobbetti, Marco
Di Cagno, Raffaella
Microbial high throughput phenomics: The potential of an irreplaceable omics
title Microbial high throughput phenomics: The potential of an irreplaceable omics
title_full Microbial high throughput phenomics: The potential of an irreplaceable omics
title_fullStr Microbial high throughput phenomics: The potential of an irreplaceable omics
title_full_unstemmed Microbial high throughput phenomics: The potential of an irreplaceable omics
title_short Microbial high throughput phenomics: The potential of an irreplaceable omics
title_sort microbial high throughput phenomics: the potential of an irreplaceable omics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490730/
https://www.ncbi.nlm.nih.gov/pubmed/32994888
http://dx.doi.org/10.1016/j.csbj.2020.08.010
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