Dataset Information

Strain Library Imaging Protocol for high-throughput, automated single-cell microscopy of large bacterial collections arrayed on multiwell plates.

ABSTRACT: Single-cell microscopy is a powerful tool for studying gene functions using strain libraries, but it suffers from throughput limitations. Here we describe the Strain Library Imaging Protocol (SLIP), which is a high-throughput, automated microscopy workflow for large strain collections that requires minimal user involvement. SLIP involves transferring arrayed bacterial cultures from multiwell plates onto large agar pads using inexpensive replicator pins and automatically imaging the resulting single cells. The acquired images are subsequently reviewed and analyzed by custom MATLAB scripts that segment single-cell contours and extract quantitative metrics. SLIP yields rich data sets on cell morphology and gene expression that illustrate the function of certain genes and the connections among strains in a library. For a library arrayed on 96-well plates, image acquisition can be completed within 4 min per plate.

SUBMITTER: Shi H

PROVIDER: S-EPMC5831406 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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Publications

Strain Library Imaging Protocol for high-throughput, automated single-cell microscopy of large bacterial collections arrayed on multiwell plates.

Shi Handuo H Colavin Alexandre A Lee Timothy K TK Huang Kerwyn Casey KC

Nature protocols 20170126 2

Single-cell microscopy is a powerful tool for studying gene functions using strain libraries, but it suffers from throughput limitations. Here we describe the Strain Library Imaging Protocol (SLIP), which is a high-throughput, automated microscopy workflow for large strain collections that requires minimal user involvement. SLIP involves transferring arrayed bacterial cultures from multiwell plates onto large agar pads using inexpensive replicator pins and automatically imaging the resulting sin ...[more]

PMID: 28125106

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Project description:Klebsiella pneumoniae and other carbapenem-resistant members of the family Enterobacteriaceae are a major cause of hospital-acquired infections, yet the basis of their success as nosocomial pathogens is poorly understood. To help provide a foundation for genetic analysis of K. pneumoniae, we created an arrayed, sequence-defined transposon mutant library of an isolate from the 2011 outbreak of infections at the U.S. National Institutes of Health Clinical Center. The library is made up of 12,000 individually arrayed mutants of a carbapenemase deletion parent strain and provides coverage of 85% of the predicted genes. The library includes an average of 2.5 mutants per gene, with most insertion locations identified and confirmed in two independent rounds of Sanger sequencing. On the basis of an independent transposon sequencing assay, about half of the genes lacking representatives in this "two-allele" library are essential for growth on nutrient agar. To validate the use of the library for phenotyping, we screened candidate mutants for increased antibiotic sensitivity by using custom phenotypic microarray plates. This screening identified several mutations increasing sensitivity to ?-lactams (in acrB1, mcrB, ompR, phoP1, and slt1) and found that two-component regulator cpxAR mutations increased multiple sensitivities (to an aminoglycoside, a fluoroquinolone, and several ?-lactams). Strains making up the two-allele mutant library are available through a web-based request mechanism.IMPORTANCE K. pneumoniae and other carbapenem-resistant members of the family Enterobacteriaceae are recognized as a top public health threat by the Centers for Disease Control and Prevention. The analysis of these major nosocomial pathogens has been limited by the experimental resources available for studying them. The work presented here describes a sequence-defined mutant library of a K. pneumoniae strain (KPNIH1) that represents an attractive model for studies of this pathogen because it is a recent isolate of the major sequence type that causes infection, the epidemiology of the outbreak it caused is well characterized, and an annotated genome sequence is available. The ready availability of defined mutants deficient in nearly all of the nonessential genes of the model strain should facilitate the genetic dissection of complex traits like pathogenesis and antibiotic resistance.

Dataset Information

Strain Library Imaging Protocol for high-throughput, automated single-cell microscopy of large bacterial collections arrayed on multiwell plates.

Publications

Strain Library Imaging Protocol for high-throughput, automated single-cell microscopy of large bacterial collections arrayed on multiwell plates.

Similar Datasets

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