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眼见为实:双尾蛋白揭示其作用途径。

Seeing is believing: the Bicoid protein reveals its path.

作者信息

Baumgartner Stefan

机构信息

Department of Experimental Medical Sciences, Lund University, BMC D10, S-22184 Lund, Sweden.

出版信息

Hereditas. 2018 Sep 11;155:28. doi: 10.1186/s41065-018-0067-3. eCollection 2018.

DOI:10.1186/s41065-018-0067-3
PMID:30220899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6134762/
Abstract

In this commentary, I will review the latest findings on the Bicoid (Bcd) morphogen in , a paradigm for gradient formation taught to biology students for more than two decades. "Seeing is believing" also summarizes the erroneous steps that were needed to elucidate the mechanisms of gradient formation and the path of movement of Bcd. Initially proclaimed as a dogma in 1988 and later incorporated into the SDD model where the broad diffusion of Bcd throughout the embryo was the predominant step leading to gradient formation, the SDD model was irrefutable for more than two decades until first doubts were raised in 2007 regarding the diffusion properties of Bcd associated with the SDD model. This led to re-thinking of the issue and the definition of a new model, termed the ARTS model which could explain most of the physical constraints that were inherently associated with the SDD model. In the ARTS model, gradient formation is mediated by the mRNA which is redistributed along cortical microtubules to form a mRNA gradient which is translated to form the protein gradient. Contrary to the SDD model, there is no Bcd diffusion from the tip. The ARTS model is also compatible with the observed cortical movement of Bcd. I will critically compare the SDD and the ARTS models as well as other models, analyze the major differences, and highlight the path where Bcd is localized during early nuclear cycles.

摘要

在这篇评论中,我将回顾关于形态发生素Bicoid(Bcd)的最新研究结果,Bcd是二十多年来生物学学生所学的梯度形成范例。“眼见为实”也总结了阐明梯度形成机制和Bcd移动路径所需的错误步骤。1988年,SDD模型最初被奉为教条,后来被纳入该模型,其中Bcd在整个胚胎中的广泛扩散是导致梯度形成的主要步骤。在2007年首次对与SDD模型相关的Bcd扩散特性提出质疑之前,SDD模型在二十多年里一直无可辩驳。这导致了对该问题的重新思考以及一个新模型的定义,即ARTS模型,该模型可以解释与SDD模型内在相关的大多数物理限制。在ARTS模型中,梯度形成是由mRNA介导的,mRNA沿着皮质微管重新分布以形成mRNA梯度,该梯度被翻译形成蛋白质梯度。与SDD模型相反,没有Bcd从顶端扩散。ARTS模型也与观察到的Bcd皮质运动相兼容。我将批判性地比较SDD模型和ARTS模型以及其他模型,分析主要差异,并突出Bcd在早期核周期中定位的路径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07ec/6134762/6e04a428c419/41065_2018_67_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07ec/6134762/f43b5fe0fd4a/41065_2018_67_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07ec/6134762/6e04a428c419/41065_2018_67_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07ec/6134762/f43b5fe0fd4a/41065_2018_67_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07ec/6134762/6e04a428c419/41065_2018_67_Fig2_HTML.jpg

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Modulating the bicoid gradient in space and time.在空间和时间上调节 bicoid 梯度。
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RNA localization requires the -Golgi network.RNA 的定位需要高尔基体网络。

本文引用的文献

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Bicoid gradient formation mechanism and dynamics revealed by protein lifetime analysis.蛋白寿命分析揭示了 Bicoid 浓度梯度的形成机制和动力学。
Mol Syst Biol. 2018 Sep 4;14(9):e8355. doi: 10.15252/msb.20188355.
2
Dense Bicoid hubs accentuate binding along the morphogen gradient.致密的双尾枢纽蛋白沿形态发生素梯度增强结合作用。
Genes Dev. 2017 Sep 1;31(17):1784-1794. doi: 10.1101/gad.305078.117.
3
Cortical movement of Bicoid in early Drosophila embryos is actin- and microtubule-dependent and disagrees with the SDD diffusion model.
Hereditas. 2019 Sep 10;156:30. doi: 10.1186/s41065-019-0106-8. eCollection 2019.
果蝇早期胚胎中双胸蛋白的皮层运动依赖于肌动蛋白和微管,与表面扩散-漂移(SDD)扩散模型不一致。
PLoS One. 2017 Oct 3;12(10):e0185443. doi: 10.1371/journal.pone.0185443. eCollection 2017.
4
Dynamic patterning by the Drosophila pair-rule network reconciles long-germ and short-germ segmentation.果蝇成对规则网络的动态模式形成协调了长胚层和短胚层的体节形成。
PLoS Biol. 2017 Sep 27;15(9):e2002439. doi: 10.1371/journal.pbio.2002439. eCollection 2017 Sep.
5
Drosophila Segment Polarity Mutants and the Rediscovery of the Hedgehog Pathway Genes.果蝇体节极性突变体与刺猬信号通路基因的重新发现
Curr Top Dev Biol. 2016;116:477-88. doi: 10.1016/bs.ctdb.2016.01.007. Epub 2016 Feb 13.
6
Bicoid gradient formation and function in the Drosophila pre-syncytial blastoderm.果蝇合胞体胚盘前期中双尾蛋白梯度的形成与功能
Elife. 2016 Feb 17;5:e13222. doi: 10.7554/eLife.13222.
7
Gap Gene Regulatory Dynamics Evolve along a Genotype Network.间隙基因调控动力学沿着基因型网络进化。
Mol Biol Evol. 2016 May;33(5):1293-307. doi: 10.1093/molbev/msw013. Epub 2016 Jan 21.
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Hox genes, evo-devo, and the case of the ftz gene.同源异型基因、演化发育生物学与ftz基因实例
Chromosoma. 2016 Jun;125(3):535-51. doi: 10.1007/s00412-015-0553-6. Epub 2015 Nov 23.
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FlyBase: establishing a Gene Group resource for Drosophila melanogaster.果蝇数据库:为黑腹果蝇建立一个基因群组资源。
Nucleic Acids Res. 2016 Jan 4;44(D1):D786-92. doi: 10.1093/nar/gkv1046. Epub 2015 Oct 13.
10
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