Automated, High-Throughput Detection of Bacterial Adherence to Host Cells

Author(s):  
Jing Yang ◽  
Qing-Ming Qin ◽  
Paul de Figueiredo
2009 ◽  
Author(s):  
Yoshiki Katayama ◽  
Hirotaro Kitazaki ◽  
Jeong-Hun Kang ◽  
Xiaoming Han ◽  
Takeshi Mori ◽  
...  

Author(s):  
Bibi Zareena ◽  
Adeeba Khadim ◽  
Syed Usama Y. Jeelani ◽  
Saddam Hussain ◽  
Arslan Ali ◽  
...  

Genes ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Jinghao Chen ◽  
Chao Xing ◽  
Xin Zheng ◽  
Xiaofang Li

Functional (meta) genomics allows the high-throughput identification of functional genes in a premise-free way. However, it is still difficult to perform Sanger sequencing for high GC DNA templates, which hinders the functional genomic exploration of a high GC genomic library. Here, we developed a procedure to resolve this problem by coupling the Sanger and PacBio sequencing strategies. Identification of cadmium (Cd) resistance genes from a small-insert high GC genomic library was performed to test the procedure. The library was generated from a high GC (75.35%) bacterial genome. Nineteen clones that conferred Cd resistance to Escherichia coli subject to Sanger sequencing directly. The positive clones were in parallel subject to in vivo amplification in host cells, from which recombinant plasmids were extracted and linearized by selected restriction endonucleases. PacBio sequencing was performed to obtain the full-length sequences. As the identities, partial sequences from Sanger sequencing were aligned to the full-length sequences from PacBio sequencing, which led to the identification of seven unique full-length sequences. The unique sequences were further aligned to the full genome sequence of the source strain. Functional screening showed that the identified positive clones were all able to improve Cd resistance of the host cells. The functional genomic procedure developed here couples the Sanger and PacBio sequencing methods and overcomes the difficulties in PCR approaches for high GC DNA. The procedure can be a promising option for the high-throughput sequencing of functional genomic libraries, and realize a cost-effective and time-efficient identification of the positive clones, particularly for high GC genetic materials.


RSC Advances ◽  
2015 ◽  
Vol 5 (86) ◽  
pp. 70197-70203 ◽  
Author(s):  
D. Das ◽  
Z. Yan ◽  
N. V. Menon ◽  
Y. Kang ◽  
V. Chan ◽  
...  

A novel design for high throughput detection of oil micro-droplets in water which is important to environmental oil spill monitoring agencies.


2010 ◽  
Vol 76 (16) ◽  
pp. 5363-5372 ◽  
Author(s):  
Adrien Y. Burch ◽  
Briana K. Shimada ◽  
Patrick J. Browne ◽  
Steven E. Lindow

ABSTRACT A novel biosurfactant detection assay was developed for the observation of surfactants on agar plates. By using an airbrush to apply a fine mist of oil droplets, surfactants can be observed instantaneously as halos around biosurfactant-producing colonies. This atomized oil assay can detect a wide range of different synthetic and bacterially produced surfactants. This method could detect much lower concentrations of many surfactants than a commonly used water drop collapse method. It is semiquantitative and therefore has broad applicability for uses such as high-throughput mutagenesis screens of biosurfactant-producing bacterial strains. The atomized oil assay was used to screen for mutants of the plant pathogen Pseudomonas syringae pv. syringae B728a that were altered in the production of biosurfactants. Transposon mutants displaying significantly altered surfactant halos were identified and further analyzed. All mutants identified displayed altered swarming motility, as would be expected of surfactant mutants. Additionally, measurements of the transcription of the syringafactin biosynthetic cluster in the mutants, the principal biosurfactant known to be produced by B728a, revealed novel regulators of this pathway.


2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Santosh Kumar Upadhyay ◽  
Shailesh Sharma

Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein (Cas) system facilitates targeted genome editing in organisms. Despite high demand of this system, finding a reliable tool for the determination of specific target sites in large genomic data remained challenging. Here, we report SSFinder, a python script to perform high throughput detection of specific target sites in large nucleotide datasets. The SSFinder is a user-friendly tool, compatible with Windows, Mac OS, and Linux operating systems, and freely available online.


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