Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-64108
Juhas, Mario; Stark, Manuel; von Mering, Christian; Lumjiaktase, Puthapoom; Crook, Derrick W; Valvano, Miguel A; Eberl, Leo (2012). High confidence prediction of essential genes in burkholderia cenocepacia. PLoS ONE, 7(6):e40064.
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BACKGROUND: Essential genes are absolutely required for the survival of an organism. The identification of essential genes, besides being one of the most fundamental questions in biology, is also of interest for the emerging science of synthetic biology and for the development of novel antimicrobials. New antimicrobial therapies are desperately needed to treat multidrug-resistant pathogens, such as members of the Burkholderia cepacia complex.
METHODOLOGY/PRINCIPAL FINDINGS: We hypothesize that essential genes may be highly conserved within a group of evolutionary closely related organisms. Using a bioinformatics approach we determined that the core genome of the order Burkholderiales consists of 649 genes. All but two of these identified genes were located on chromosome 1 of Burkholderia cenocepacia. Although many of the 649 core genes of Burkholderiales have been shown to be essential in other bacteria, we were also able to identify a number of novel essential genes present mainly, or exclusively, within this order. The essentiality of some of the core genes, including the known essential genes infB, gyrB, ubiB, and valS, as well as the so far uncharacterized genes BCAL1882, BCAL2769, BCAL3142 and BCAL3369 has been confirmed experimentally in B. cenocepacia.
CONCLUSIONS/SIGNIFICANCE: We report on the identification of essential genes using a novel bioinformatics strategy and provide bioinformatics and experimental evidence that the large majority of the identified genes are indeed essential. The essential genes identified here may represent valuable targets for the development of novel antimicrobials and their detailed study may shed new light on the functions required to support life.
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|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Molecular Life Sciences
07 Faculty of Science > Institute of Plant Biology
08 University Research Priority Programs > Systems Biology / Functional Genomics
|DDC:||570 Life sciences; biology
580 Plants (Botany)
|Deposited On:||15 Aug 2012 12:45|
|Last Modified:||12 Nov 2014 12:24|
|Publisher:||Public Library of Science (PLoS)|
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