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Genome-scale Analysis of Escherichia coli FNR Reveals Complex Features of Transcription Factor Binding
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نویسنده
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myers k.s. ,yan h. ,ong i.m. ,chung d. ,liang k. ,tran f. ,keleş s. ,landick r. ,kiley p.j.
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منبع
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plos genetics - 2013 - دوره : 9 - شماره : 6
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چکیده
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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.
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آدرس
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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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Authors
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