Comparing two models based on the transcriptional regulation by KaiC of cyanobacteria rhythm

Y. Li, Hui Wu, Jinhuo Luo
{"title":"Comparing two models based on the transcriptional regulation by KaiC of cyanobacteria rhythm","authors":"Y. Li, Hui Wu, Jinhuo Luo","doi":"10.1109/ISB.2012.6314139","DOIUrl":null,"url":null,"abstract":"Circadian clocks are self-sustained biological oscillators that can be entrained by environmental cues. Cyanobacteria are the simplest organisms known to exhibit circadian rhythms, which is the fundamental process of homeostasis adapting to daily environmental changes. The cyanobacterial clock gene products, KaiA, KaiB, and KaiC interact with each other, and regulate KaiC phosphorylation and kaiBC expression in a circadian fashion. The total phosphorylation level of KaiC oscillates with a circadian period. In this paper, based on two possible transcriptional regulations, we examined numerically two models, the Transcriptional Activation Model and the Transcriptional Repression Model to generate circadian oscillation of kai genes. These two models both reproduce experimental observed sustained circadian oscillations in constant dark(DD) and constant light(LL). Comparing phase shifts between DD and LL in these two model, the Transcriptional Activation Model is consistent with the experimental observations, suggesting that the Transcriptional Activation Model may reflect the essence of the actual mechanism of kai oscillator in cyanobacteria.","PeriodicalId":224011,"journal":{"name":"2012 IEEE 6th International Conference on Systems Biology (ISB)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 6th International Conference on Systems Biology (ISB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISB.2012.6314139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Circadian clocks are self-sustained biological oscillators that can be entrained by environmental cues. Cyanobacteria are the simplest organisms known to exhibit circadian rhythms, which is the fundamental process of homeostasis adapting to daily environmental changes. The cyanobacterial clock gene products, KaiA, KaiB, and KaiC interact with each other, and regulate KaiC phosphorylation and kaiBC expression in a circadian fashion. The total phosphorylation level of KaiC oscillates with a circadian period. In this paper, based on two possible transcriptional regulations, we examined numerically two models, the Transcriptional Activation Model and the Transcriptional Repression Model to generate circadian oscillation of kai genes. These two models both reproduce experimental observed sustained circadian oscillations in constant dark(DD) and constant light(LL). Comparing phase shifts between DD and LL in these two model, the Transcriptional Activation Model is consistent with the experimental observations, suggesting that the Transcriptional Activation Model may reflect the essence of the actual mechanism of kai oscillator in cyanobacteria.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
比较两种基于KaiC对蓝藻节律转录调控的模型
生物钟是一种自我维持的生物振荡器,可以受到环境因素的影响。蓝藻是已知具有昼夜节律的最简单的生物,昼夜节律是适应日常环境变化的稳态基本过程。蓝藻时钟基因产物KaiA、KaiB和KaiC相互作用,以昼夜节律方式调节KaiC磷酸化和kaiBC表达。KaiC的总磷酸化水平随昼夜周期振荡。本文基于两种可能的转录调控,对产生kai基因昼夜节律振荡的转录激活模型和转录抑制模型进行了数值检验。这两个模型都再现了实验观察到的恒定黑暗(DD)和恒定光照(LL)下的持续昼夜节律振荡。对比两种模型中DD和LL的相移,转录激活模型与实验观察结果一致,表明转录激活模型可能反映了蓝藻中kai振子实际机制的本质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A fixed-point blind source extraction algorithm and its application to ECG data analysis Comparing two models based on the transcriptional regulation by KaiC of cyanobacteria rhythm Predicting protein complexes via the integration of multiple biological information Effective clustering of microRNA sequences by N-grams and feature weighting RNA-seq coverage effects on biological pathways and GO tag clouds
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1