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   Genome-scale Analysis of Escherichia coli FNR Reveals Complex Features of Transcription Factor Binding  
   
نویسنده myers k.s. ,yan h. ,ong i.m. ,chung d. ,liang k. ,tran f. ,keleş s. ,landick r. ,kiley p.j.
منبع plos genetics - 2013 - دوره : 9 - شماره : 6
چکیده    Fnr is a well-studied global regulator of anaerobiosis,which is widely conserved across bacteria. despite the importance of fnr and anaerobiosis in microbial lifestyles,the factors that influence its function on a genome-wide scale are poorly understood. here,we report a functional genomic analysis of fnr action. we find that fnr occupancy at many target sites is strongly influenced by nucleoid-associated proteins (naps) that restrict access to many fnr binding sites. at a genome-wide level,only a subset of predicted fnr binding sites were bound under anaerobic fermentative conditions and many appeared to be masked by the naps h-ns,ihf and fis. similar assays in cells lacking h-ns and its paralog stpa showed increased fnr occupancy at sites bound by h-ns in wt strains,indicating that large regions of the genome are not readily accessible for fnr binding. genome accessibility may also explain our finding that genome-wide fnr occupancy did not correlate with the match to consensus at binding sites,suggesting that significant variation in chip signal was attributable to cross-linking or immunoprecipitation efficiency rather than differences in binding affinities for fnr sites. correlation of fnr chip-seq peaks with transcriptomic data showed that less than half of the fnr-regulated operons could be attributed to direct fnr binding. conversely,fnr bound some promoters without regulating expression presumably requiring changes in activity of condition-specific transcription factors. such combinatorial regulation may allow escherichia coli to respond rapidly to environmental changes and confer an ecological advantage in the anaerobic but nutrient-fluctuating environment of the mammalian gut. © 2013 myers et al.
آدرس microbiology doctoral training program,university of wisconsin-madison,madison,wi,united states,department of biomolecular chemistry,university of wisconsin-madison,madison,wi, United States, great lakes bioenergy research center,university of wisconsin-madison,madison,wi,united states,division of biomedical statistics and informatics,department of health sciences research,mayo clinic college of medicine,rochester,mn, United States, great lakes bioenergy research center,university of wisconsin-madison,madison,wi, United States, department of statistics,university of wisconsin-madison,madison,wi,united states,department of biostatistics,yale school of public health,new haven,ct, United States, department of statistics,university of wisconsin-madison,madison,wi,united states,department of biostatistics and medical informatics,university of wisconsin-madison,madison,wi,united states,department of statistics and actuarial science,university of waterloo,waterloo,on, Canada, department of biochemistry,university of wisconsin-madison,madison,wi,united states,molecular and computational biology program,university of southern california at los angeles,los angeles,ca, United States, department of statistics,university of wisconsin-madison,madison,wi,united states,department of biostatistics and medical informatics,university of wisconsin-madison,madison,wi, United States, great lakes bioenergy research center,university of wisconsin-madison,madison,wi,united states,department of biochemistry,university of wisconsin-madison,madison,wi,united states,department of bacteriology,university of wisconsin-madison,madison,wi, United States, department of biomolecular chemistry,university of wisconsin-madison,madison,wi,united states,great lakes bioenergy research center,university of wisconsin-madison,madison,wi, United States
 
     
   
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