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αTubulin 67C and Ncd Are Essential for Establishing a Cortical Microtubular Network and Formation of the Bicoid mRNA Gradient in Drosophila

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Title
αTubulin 67C and Ncd Are Essential for Establishing a Cortical Microtubular Network and Formation of the Bicoid mRNA Gradient in Drosophila
Published in
PLOS ONE, November 2014
DOI 10.1371/journal.pone.0112053
Pubmed ID
Authors

Khalid Fahmy, Mira Akber, Xiaoli Cai, Aabid Koul, Awais Hayder, Stefan Baumgartner

Abstract

The Bicoid (Bcd) protein gradient in Drosophila serves as a paradigm for gradient formation in textbooks. To explain the generation of the gradient, the ARTS model, which is based on the observation of a bcd mRNA gradient, proposes that the bcd mRNA, localized at the anterior pole at fertilization, migrates along microtubules (MTs) at the cortex to the posterior to form a bcd mRNA gradient which is translated to form a protein gradient. To fulfil the criteria of the ARTS model, an early cortical MT network is thus a prerequisite. We report hitherto undiscovered MT activities in the early embryo important for bcd mRNA transport: (i) an early and omnidirectional MT network exclusively at the anterior cortex of early nuclear cycle embryos showing activity during metaphase and anaphase only, (ii) long MTs up to 50 µm extending into the yolk at blastoderm stage to enable basal-apical transport. The cortical MT network is not anchored to the actin cytoskeleton. The posterior transport of the mRNA via the cortical MT network critically depends on maternally-expressed αTubulin67C and the minus-end motor Ncd. In either mutant, cortical transport of the bcd mRNA does not take place and the mRNA migrates along another yet undisclosed interior MT network, instead. Our data strongly corroborate the ARTS model and explain the occurrence of the bcd mRNA gradient.

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Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 21%
Researcher 4 14%
Student > Master 3 11%
Student > Ph. D. Student 3 11%
Unspecified 2 7%
Other 3 11%
Unknown 7 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 43%
Biochemistry, Genetics and Molecular Biology 6 21%
Unspecified 2 7%
Medicine and Dentistry 1 4%
Engineering 1 4%
Other 0 0%
Unknown 6 21%