FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2064710711> ?p ?o ?g. }

• W2064710711 endingPage "e40064" @default.
• W2064710711 startingPage "e40064" @default.
• W2064710711 abstract "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." @default.
• W2064710711 created "2016-06-24" @default.
• W2064710711 creator A5000334281 @default.
• W2064710711 creator A5019493581 @default.
• W2064710711 creator A5031627351 @default.
• W2064710711 creator A5041019879 @default.
• W2064710711 creator A5075156479 @default.
• W2064710711 creator A5079812532 @default.
• W2064710711 creator A5089282433 @default.
• W2064710711 date "2012-06-29" @default.
• W2064710711 modified "2023-10-03" @default.
• W2064710711 title "High Confidence Prediction of Essential Genes in Burkholderia Cenocepacia" @default.
• W2064710711 cites W1535669424 @default.
• W2064710711 cites W164505443 @default.
• W2064710711 cites W1779884267 @default.
• W2064710711 cites W1888185978 @default.
• W2064710711 cites W1974220691 @default.
• W2064710711 cites W1974299093 @default.
• W2064710711 cites W1978237876 @default.
• W2064710711 cites W1989443088 @default.
• W2064710711 cites W1990956320 @default.
• W2064710711 cites W1991038254 @default.
• W2064710711 cites W2002227368 @default.
• W2064710711 cites W2003917528 @default.
• W2064710711 cites W2008632223 @default.
• W2064710711 cites W2008856488 @default.
• W2064710711 cites W2011537739 @default.
• W2064710711 cites W2013289769 @default.
• W2064710711 cites W2028695636 @default.
• W2064710711 cites W2029664798 @default.
• W2064710711 cites W2040226264 @default.
• W2064710711 cites W2042913108 @default.
• W2064710711 cites W2047409754 @default.
• W2064710711 cites W2049066128 @default.
• W2064710711 cites W2053096433 @default.
• W2064710711 cites W2055105978 @default.
• W2064710711 cites W2056271746 @default.
• W2064710711 cites W2057545775 @default.
• W2064710711 cites W2068121693 @default.
• W2064710711 cites W2071466235 @default.
• W2064710711 cites W2077930487 @default.
• W2064710711 cites W2084832691 @default.
• W2064710711 cites W2088590769 @default.
• W2064710711 cites W2097002638 @default.
• W2064710711 cites W2098429327 @default.
• W2064710711 cites W2099821049 @default.
• W2064710711 cites W2103174914 @default.
• W2064710711 cites W2107247200 @default.
• W2064710711 cites W2111906329 @default.
• W2064710711 cites W2111967267 @default.
• W2064710711 cites W2114374509 @default.
• W2064710711 cites W2115008555 @default.
• W2064710711 cites W2115542536 @default.
• W2064710711 cites W2117441272 @default.
• W2064710711 cites W2118512529 @default.
• W2064710711 cites W2125597512 @default.
• W2064710711 cites W2132666490 @default.
• W2064710711 cites W2133425351 @default.
• W2064710711 cites W2140901540 @default.
• W2064710711 cites W2141825087 @default.
• W2064710711 cites W2142437744 @default.
• W2064710711 cites W2146245198 @default.
• W2064710711 cites W2146538795 @default.
• W2064710711 cites W2147626311 @default.
• W2064710711 cites W2147659723 @default.
• W2064710711 cites W2151183612 @default.
• W2064710711 cites W2151906718 @default.
• W2064710711 cites W2156345326 @default.
• W2064710711 cites W2158677343 @default.
• W2064710711 cites W2159916488 @default.
• W2064710711 cites W2160237938 @default.
• W2064710711 cites W2160455336 @default.
• W2064710711 cites W2164997719 @default.
• W2064710711 cites W2166491902 @default.
• W2064710711 cites W2169916860 @default.
• W2064710711 cites W2170488656 @default.
• W2064710711 cites W8473840 @default.
• W2064710711 doi "https://doi.org/10.1371/journal.pone.0040064" @default.
• W2064710711 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3386938" @default.
• W2064710711 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22768221" @default.
• W2064710711 hasPublicationYear "2012" @default.
• W2064710711 type Work @default.
• W2064710711 sameAs 2064710711 @default.
• W2064710711 citedByCount "59" @default.
• W2064710711 countsByYear W20647107112012 @default.
• W2064710711 countsByYear W20647107112013 @default.
• W2064710711 countsByYear W20647107112014 @default.
• W2064710711 countsByYear W20647107112015 @default.
• W2064710711 countsByYear W20647107112016 @default.
• W2064710711 countsByYear W20647107112017 @default.
• W2064710711 countsByYear W20647107112018 @default.
• W2064710711 countsByYear W20647107112019 @default.
• W2064710711 countsByYear W20647107112020 @default.
• W2064710711 countsByYear W20647107112021 @default.
• W2064710711 countsByYear W20647107112022 @default.
• W2064710711 countsByYear W20647107112023 @default.
• W2064710711 crossrefType "journal-article" @default.
• W2064710711 hasAuthorship W2064710711A5000334281 @default.

• next