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Microarray Comparative Genomic Hybridisation Analysis Incorporating Genomic Organisation, and Application to Enterobacterial Plant Pathogens

Overview of attention for article published in PLoS Computational Biology, August 2009
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Title
Microarray Comparative Genomic Hybridisation Analysis Incorporating Genomic Organisation, and Application to Enterobacterial Plant Pathogens
Published in
PLoS Computational Biology, August 2009
DOI 10.1371/journal.pcbi.1000473
Pubmed ID
Authors

Leighton Pritchard, Hui Liu, Clare Booth, Emma Douglas, Patrice François, Jacques Schrenzel, Peter E. Hedley, Paul R. J. Birch, Ian K. Toth

Abstract

Microarray comparative genomic hybridisation (aCGH) provides an estimate of the relative abundance of genomic DNA (gDNA) taken from comparator and reference organisms by hybridisation to a microarray containing probes that represent sequences from the reference organism. The experimental method is used in a number of biological applications, including the detection of human chromosomal aberrations, and in comparative genomic analysis of bacterial strains, but optimisation of the analysis is desirable in each problem domain.We present a method for analysis of bacterial aCGH data that encodes spatial information from the reference genome in a hidden Markov model. This technique is the first such method to be validated in comparisons of sequenced bacteria that diverge at the strain and at the genus level: Pectobacterium atrosepticum SCRI1043 (Pba1043) and Dickeya dadantii 3937 (Dda3937); and Lactococcus lactis subsp. lactis IL1403 and L. lactis subsp. cremoris MG1363. In all cases our method is found to outperform common and widely used aCGH analysis methods that do not incorporate spatial information. This analysis is applied to comparisons between commercially important plant pathogenic soft-rotting enterobacteria (SRE) Pba1043, P. atrosepticum SCRI1039, P. carotovorum 193, and Dda3937.Our analysis indicates that it should not be assumed that hybridisation strength is a reliable proxy for sequence identity in aCGH experiments, and robustly extends the applicability of aCGH to bacterial comparisons at the genus level. Our results in the SRE further provide evidence for a dynamic, plastic 'accessory' genome, revealing major genomic islands encoding gene products that provide insight into, and may play a direct role in determining, variation amongst the SRE in terms of their environmental survival, host range and aetiology, such as phytotoxin synthesis, multidrug resistance, and nitrogen fixation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 7%
Norway 2 5%
Uganda 1 2%
Brazil 1 2%
United States 1 2%
Unknown 34 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 40%
Student > Ph. D. Student 6 14%
Student > Postgraduate 3 7%
Professor > Associate Professor 3 7%
Student > Master 2 5%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 60%
Biochemistry, Genetics and Molecular Biology 3 7%
Veterinary Science and Veterinary Medicine 2 5%
Environmental Science 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 October 2019.
All research outputs
#20,064,197
of 25,522,520 outputs
Outputs from PLoS Computational Biology
#7,987
of 8,997 outputs
Outputs of similar age
#107,776
of 117,840 outputs
Outputs of similar age from PLoS Computational Biology
#44
of 50 outputs
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