Architecture of gene regulatory networks controlling flower development in Arabidopsis thaliana.
Architecture of gene regulatory networks controlling flower development in Arabidopsis thaliana.
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DOI：
10.1038/s41467-018-06772-3
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发表时间：
2018-10-31
影响因子：
16.6
通讯作者：
Kaufmann K
中科院分区：
文献类型：
--
作者：
Chen D;Yan W;Fu LY;Kaufmann K
花同源转录因子（TFs）以组合方式指定花的器官身份。然而，调控花器官发育的基因调控网络（GRN）的结构和功能尚不清楚。特别是同型TFs、microRNAs （miRNAs）和其他控制器官起始和生长的因子之间的相互关系，目前还没有系统的研究。本文结合全基因组TF结合、mRNA和miRNA表达数据，重建了控制花分生组织发育和器官分化的动态GRN。我们确定了普遍的前馈回路（ffl），由花同源TFs和调节共同靶标的mirna介导。相干FFL的实验验证表明，花瓣大小由sepallata3调控的miR319/TCP4模块控制。我们进一步表明，同型因子和选择的其他tf的组合dna结合可预测器官特异性基因表达模式。本研究结果为研究植物花器官分化的分子调控过程提供了有价值的资源。同源转录因子和mirna促进花器官的分化。在这里，Chen等人重建了拟南芥花中的基因调控网络，并找到了转录因子、mirna及其靶点之间的前馈回路决定器官特异性基因表达的证据。
Floral homeotic transcription factors (TFs) act in a combinatorial manner to specify the organ identities in the flower. However, the architecture and the function of the gene regulatory network (GRN) controlling floral organ specification is still poorly understood. In particular, the interconnections of homeotic TFs, microRNAs (miRNAs) and other factors controlling organ initiation and growth have not been studied systematically so far. Here, using a combination of genome-wide TF binding, mRNA and miRNA expression data, we reconstruct the dynamic GRN controlling floral meristem development and organ differentiation. We identify prevalent feed-forward loops (FFLs) mediated by floral homeotic TFs and miRNAs that regulate common targets. Experimental validation of a coherent FFL shows that petal size is controlled by the SEPALLATA3-regulated miR319/TCP4 module. We further show that combinatorial DNA-binding of homeotic factors and selected other TFs is predictive of organ-specific patterns of gene expression. Our results provide a valuable resource for studying molecular regulatory processes underlying floral organ specification in plants. Homeotic transcription factors and miRNAs promote floral organ specification. Here Chen et al. reconstruct gene regulatory networks in Arabidopsis flowers and find evidence for feed forward loops between transcription factors, miRNAs and their targets that determine organ-specific gene expression.
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影响因子：
14.9
作者：
Chen C;Ridzon DA;Broomer AJ;Zhou Z;Lee DH;Nguyen JT;Barbisin M;Xu NL;Mahuvakar VR;Andersen MR;Lao KQ;Livak KJ;Guegler KJ
通讯作者：
Guegler KJ
拟南芥中疯狂域蛋白的结合模式的比较分析。
影响因子：
5.3
作者：
Aerts N;de Bruijn S;van Mourik H;Angenent GC;van Dijk ADJ
通讯作者：
van Dijk ADJ
影响因子：
64.5
作者：
Hnisz D;Abraham BJ;Lee TI;Lau A;Saint-André V;Sigova AA;Hoke HA;Young RA
通讯作者：
Young RA
影响因子：
4.6
作者：
Dinneny, JR;Yadegari, R;Weigel, D
通讯作者：
Weigel, D
影响因子：
64.8
作者：
Albert, R;Jeong, H;Barabási, AL
通讯作者：
Barabási, AL