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A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition

Biofoundries integrate high-throughput software and hardware platforms with synthetic biology approaches to enable the design, execution and analyses of large-scale experiments. The unique and powerful combination of laboratory infrastructure and expertise in molecular biology and automation program...

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Autores principales: Moffat, Alaster D, Elliston, Adam, Patron, Nicola J, Truman, Andrew W, Carrasco Lopez, Jose A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889406/
https://www.ncbi.nlm.nih.gov/pubmed/33623825
http://dx.doi.org/10.1093/synbio/ysab004
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author Moffat, Alaster D
Elliston, Adam
Patron, Nicola J
Truman, Andrew W
Carrasco Lopez, Jose A
author_facet Moffat, Alaster D
Elliston, Adam
Patron, Nicola J
Truman, Andrew W
Carrasco Lopez, Jose A
author_sort Moffat, Alaster D
collection PubMed
description Biofoundries integrate high-throughput software and hardware platforms with synthetic biology approaches to enable the design, execution and analyses of large-scale experiments. The unique and powerful combination of laboratory infrastructure and expertise in molecular biology and automation programming, provide flexible resources for a wide range of workflows and research areas. Here, we demonstrate the applicability of biofoundries to molecular microbiology, describing the development and application of automated workflows to identify the genetic basis of growth inhibition of the plant pathogen Streptomyces scabies by a Pseudomonas strain isolated from a potato field. Combining transposon mutagenesis with automated high-throughput antagonistic assays, the workflow accelerated the screening of 2880 mutants to correlate growth inhibition with a biosynthetic gene cluster within 2 weeks.
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spelling pubmed-78894062021-02-22 A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition Moffat, Alaster D Elliston, Adam Patron, Nicola J Truman, Andrew W Carrasco Lopez, Jose A Synth Biol (Oxf) Research Article Biofoundries integrate high-throughput software and hardware platforms with synthetic biology approaches to enable the design, execution and analyses of large-scale experiments. The unique and powerful combination of laboratory infrastructure and expertise in molecular biology and automation programming, provide flexible resources for a wide range of workflows and research areas. Here, we demonstrate the applicability of biofoundries to molecular microbiology, describing the development and application of automated workflows to identify the genetic basis of growth inhibition of the plant pathogen Streptomyces scabies by a Pseudomonas strain isolated from a potato field. Combining transposon mutagenesis with automated high-throughput antagonistic assays, the workflow accelerated the screening of 2880 mutants to correlate growth inhibition with a biosynthetic gene cluster within 2 weeks. Oxford University Press 2021-01-28 /pmc/articles/PMC7889406/ /pubmed/33623825 http://dx.doi.org/10.1093/synbio/ysab004 Text en © The Author(s) 2021. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Moffat, Alaster D
Elliston, Adam
Patron, Nicola J
Truman, Andrew W
Carrasco Lopez, Jose A
A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition
title A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition
title_full A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition
title_fullStr A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition
title_full_unstemmed A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition
title_short A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition
title_sort biofoundry workflow for the identification of genetic determinants of microbial growth inhibition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889406/
https://www.ncbi.nlm.nih.gov/pubmed/33623825
http://dx.doi.org/10.1093/synbio/ysab004
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