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

Alaster D. Moffat | Zendy; Adam Elliston | Zendy; Nicola J. Patron | Zendy; Andrew W. Truman | Zendy; José A. Carrasco | Zendy

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

Author(s) -

Alaster D. Moffat,

Adam Elliston,

Nicola J. Patron,

Andrew W. Truman,

José A. Carrasco

Publication year - 2021

Publication title -

synthetic biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.769

H-Index - 8

ISSN - 2397-7000

DOI - 10.1093/synbio/ysab004

Subject(s) - workflow , transposon mutagenesis , computational biology , identification (biology) , synthetic biology , computer science , automation , mutagenesis , biology , throughput , transposable element , mutant , gene , genetics , engineering , database , mechanical engineering , telecommunications , botany , wireless

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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