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Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains

Microbial genotyping increasingly deals with large numbers of samples, and data are commonly evaluated by unstructured approaches, such as spread-sheets. The efficiency, reliability and throughput of genotyping would benefit from the automation of manual manipulations within the context of sophistic...

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Autores principales: O’Farrell, Brian, Haase, Jana K., Velayudhan, Vimalkumar, Murphy, Ronan A., Achtman, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483277/
https://www.ncbi.nlm.nih.gov/pubmed/23144721
http://dx.doi.org/10.1371/journal.pone.0048022
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author O’Farrell, Brian
Haase, Jana K.
Velayudhan, Vimalkumar
Murphy, Ronan A.
Achtman, Mark
author_facet O’Farrell, Brian
Haase, Jana K.
Velayudhan, Vimalkumar
Murphy, Ronan A.
Achtman, Mark
author_sort O’Farrell, Brian
collection PubMed
description Microbial genotyping increasingly deals with large numbers of samples, and data are commonly evaluated by unstructured approaches, such as spread-sheets. The efficiency, reliability and throughput of genotyping would benefit from the automation of manual manipulations within the context of sophisticated data storage. We developed a medium- throughput genotyping pipeline for MultiLocus Sequence Typing (MLST) of bacterial pathogens. This pipeline was implemented through a combination of four automated liquid handling systems, a Laboratory Information Management System (LIMS) consisting of a variety of dedicated commercial operating systems and programs, including a Sample Management System, plus numerous Python scripts. All tubes and microwell racks were bar-coded and their locations and status were recorded in the LIMS. We also created a hierarchical set of items that could be used to represent bacterial species, their products and experiments. The LIMS allowed reliable, semi-automated, traceable bacterial genotyping from initial single colony isolation and sub-cultivation through DNA extraction and normalization to PCRs, sequencing and MLST sequence trace evaluation. We also describe robotic sequencing to facilitate cherrypicking of sequence dropouts. This pipeline is user-friendly, with a throughput of 96 strains within 10 working days at a total cost of < €25 per strain. Since developing this pipeline, >200,000 items were processed by two to three people. Our sophisticated automated pipeline can be implemented by a small microbiology group without extensive external support, and provides a general framework for semi-automated bacterial genotyping of large numbers of samples at low cost.
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spelling pubmed-34832772012-11-09 Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains O’Farrell, Brian Haase, Jana K. Velayudhan, Vimalkumar Murphy, Ronan A. Achtman, Mark PLoS One Research Article Microbial genotyping increasingly deals with large numbers of samples, and data are commonly evaluated by unstructured approaches, such as spread-sheets. The efficiency, reliability and throughput of genotyping would benefit from the automation of manual manipulations within the context of sophisticated data storage. We developed a medium- throughput genotyping pipeline for MultiLocus Sequence Typing (MLST) of bacterial pathogens. This pipeline was implemented through a combination of four automated liquid handling systems, a Laboratory Information Management System (LIMS) consisting of a variety of dedicated commercial operating systems and programs, including a Sample Management System, plus numerous Python scripts. All tubes and microwell racks were bar-coded and their locations and status were recorded in the LIMS. We also created a hierarchical set of items that could be used to represent bacterial species, their products and experiments. The LIMS allowed reliable, semi-automated, traceable bacterial genotyping from initial single colony isolation and sub-cultivation through DNA extraction and normalization to PCRs, sequencing and MLST sequence trace evaluation. We also describe robotic sequencing to facilitate cherrypicking of sequence dropouts. This pipeline is user-friendly, with a throughput of 96 strains within 10 working days at a total cost of < €25 per strain. Since developing this pipeline, >200,000 items were processed by two to three people. Our sophisticated automated pipeline can be implemented by a small microbiology group without extensive external support, and provides a general framework for semi-automated bacterial genotyping of large numbers of samples at low cost. Public Library of Science 2012-10-29 /pmc/articles/PMC3483277/ /pubmed/23144721 http://dx.doi.org/10.1371/journal.pone.0048022 Text en © 2012 O’Farrell et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
O’Farrell, Brian
Haase, Jana K.
Velayudhan, Vimalkumar
Murphy, Ronan A.
Achtman, Mark
Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains
title Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains
title_full Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains
title_fullStr Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains
title_full_unstemmed Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains
title_short Transforming Microbial Genotyping: A Robotic Pipeline for Genotyping Bacterial Strains
title_sort transforming microbial genotyping: a robotic pipeline for genotyping bacterial strains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483277/
https://www.ncbi.nlm.nih.gov/pubmed/23144721
http://dx.doi.org/10.1371/journal.pone.0048022
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