Unknown

Dataset Information

0

Transforming microbial genotyping: a robotic pipeline for genotyping bacterial strains.


ABSTRACT: 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.

SUBMITTER: O'Farrell B 

PROVIDER: S-EPMC3483277 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

altmetric image

Publications

Transforming microbial genotyping: a robotic pipeline for genotyping bacterial strains.

O'Farrell Brian B   Haase Jana K JK   Velayudhan Vimalkumar V   Murphy Ronan A RA   Achtman Mark M  

PloS one 20121029 10


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 autom  ...[more]

Similar Datasets

| S-EPMC8461470 | biostudies-literature
| S-EPMC4609010 | biostudies-other
| S-EPMC4290607 | biostudies-literature
2011-12-31 | GSE31543 | GEO
| S-EPMC3938676 | biostudies-literature
| S-EPMC5049685 | biostudies-literature
| S-EPMC2660880 | biostudies-other
| S-EPMC3575377 | biostudies-literature
| S-EPMC7520038 | biostudies-literature
| S-EPMC8042348 | biostudies-literature