An Arabidopsis Transcriptional Regulatory Map Reveals Distinct Functional and Evolutionary Features of Novel Transcription Factors.
An Arabidopsis Transcriptional Regulatory Map Reveals Distinct Functional and Evolutionary Features of Novel Transcription Factors.
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拟南芥转录调控图谱揭示了新型转录因子的独特功能和进化特征
DOI：
10.1093/molbev/msv058
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发表时间：
2015-07
影响因子：
10.7
通讯作者：
Gao G
中科院分区：
文献类型：
--
作者：
Jin J;He K;Tang X;Li Z;Lv L;Zhao Y;Luo J;Gao G
转录因子 (TF) 在发育和应激反应中发挥着关键作用。通过整合和重新连接原始系统，新型转录因子对转录调控网络的进化做出了重大贡献。在这里，我们报告了一个高可信度的转录调控图谱，涵盖拟南芥属 47 个科的 388 个转录因子。对该图谱的系统分析揭示了发育和应激反应子网络的结构异质性，并确定了单细胞生物中不存在但对多细胞发育至关重要的三种新型网络基序。此外，在植物着陆过程中出现的新家族的转录因子表现出更高的结合特异性，并优先连接到发育过程和这些新的网络基序中。进一步揭示了转录因子的结合特异性和接线偏好之间的联系解释了新型家族转录因子的接线偏好。这些结果揭示了新型转录因子的独特功能和进化特征，暗示了它们对多细胞生物进化的贡献的合理机制。
Transcription factors (TFs) play key roles in both development and stress responses. By integrating into and rewiring original systems, novel TFs contribute significantly to the evolution of transcriptional regulatory networks. Here, we report a high-confidence transcriptional regulatory map covering 388 TFs from 47 families in Arabidopsis. Systematic analysis of this map revealed the architectural heterogeneity of developmental and stress response subnetworks and identified three types of novel network motifs that are absent from unicellular organisms and essential for multicellular development. Moreover, TFs of novel families that emerged during plant landing present higher binding specificities and are preferentially wired into developmental processes and these novel network motifs. Further unveiled connection between the binding specificity and wiring preference of TFs explains the wiring preferences of novel-family TFs. These results reveal distinct functional and evolutionary features of novel TFs, suggesting a plausible mechanism for their contribution to the evolution of multicellular organisms.
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影响因子：
64.5
作者：
Neph S;Stergachis AB;Reynolds A;Sandstrom R;Borenstein E;Stamatoyannopoulos JA
通讯作者：
Stamatoyannopoulos JA
影响因子：
56.9
作者：
Milo, R;Shen-Orr, S;Alon, U
通讯作者：
Alon, U
影响因子：
14.9
作者：
Jin J;Zhang H;Kong L;Gao G;Luo J
通讯作者：
Luo J
影响因子：
56.9
作者：
Lee, TI;Rinaldi, NJ;Young, RA
通讯作者：
Young, RA
影响因子：
4.3
作者：
Shou C;Bhardwaj N;Lam HY;Yan KK;Kim PM;Snyder M;Gerstein MB
通讯作者：
Gerstein MB