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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-7889406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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