Comparative analysis of binding patterns of MADS-domain proteins in Arabidopsis thaliana.
Comparative analysis of binding patterns of MADS-domain proteins in Arabidopsis thaliana.
复制标题
拟南芥中疯狂域蛋白的结合模式的比较分析。
DOI:
10.1186/s12870-018-1348-8
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发表时间:
2018-06-25
影响因子:
5.3
通讯作者:
van Dijk ADJ
中科院分区:
文献类型:
--
作者:
Aerts N;de Bruijn S;van Mourik H;Angenent GC;van Dijk ADJ
Correct flower formation requires highly specific temporal and spatial regulation of gene expression. In Arabidopsis thaliana the majority of the master regulators that determine flower organ identity belong to the MADS-domain transcription factor family. The canonical DNA binding motif for this transcription factor family is the CArG-box, which has the consensus CC(A/T)6GG. However, so far, a comprehensive analysis of MADS-domain binding patterns has not yet been performed. Eight publicly available ChIP-seq datasets of MADS-domain proteins that regulate the floral transition and flower formation were analyzed. Surprisingly, the preferred DNA binding motif of each protein was a CArG-box with an NAA extension. Furthermore, motifs of other transcription factors were found in the vicinity of binding sites of MADS-domain transcription factors, suggesting that interaction of MADS-domain proteins with other transcription factors is important for target gene regulation. Finally, conservation of CArG-boxes between Arabidopsis ecotypes was assessed to obtain information about their evolutionary importance. CArG-boxes that fully matched the consensus were more conserved than other CArG-boxes, suggesting that the perfect CArG-box is evolutionary more important than other CArG-box variants. Our analysis provides detailed insight into MADS-domain protein binding patterns. The results underline the importance of an extended version of the CArG-box and provide a first view on evolutionary conservation of MADS-domain protein binding sites in Arabidopsis ecotypes. The online version of this article (10.1186/s12870-018-1348-8) contains supplementary material, which is available to authorized users.
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DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
14.9
作者:
Muiño JM;Hoogstraat M;van Ham RC;van Dijk AD
通讯作者:
van Dijk AD
影响因子:
16.6
作者:
通讯作者:
--
DOI:
10.1073/pnas.1316278111
发表时间:
2014-02-11
影响因子:
11.1
作者:
Franco-Zorrilla, Jose M.;Lopez-Vidriero, Irene;Solano, Roberto
通讯作者:
Solano, Roberto
影响因子:
7.4
作者:
Immink, Richard G. H.;Pose, David;Angenent, Gerco C.
通讯作者:
Angenent, Gerco C.