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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3483277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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