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RESEARCH HIGHLIGHTS

EDITORIAL

DEVELOPMENTAL TWISTS

INTERVIEWS

HYPOTHESIS

Summary: This Hypothesis reviews the mechanisms that underlie the plasticity of vertebrate gastrulation during evolution and under experimental manipulation, and discusses the effects of the increase in yolk volume on the morphology of gastrulation.

STEM CELLS AND REGENERATION

Summary: The protein MERISTEM-DEFECTIVE regulates Arabidopsis meristem function through its role as a splicing factor, mediated through splicing targets RSZ33, ACC1 and SR34.

Summary: Genetic analysis of a network of 11 Notch-dependent and -independent her genes reveals redundant activities to provide robust maintenance of neural stem cells in the zebrafish thalamic proliferation zone.

RESEARCH ARTICLES

Highlighted Article: Assessment of cardiomyocyte number and ploidy dynamics in two mouse strains, C57BL/6J and A/J, reveals involvement of Tnni3k and Runx1 in divergent developmental paths to differing final ploidy composition in myocardium.

Summary: Longitudinal analysis of the development of the zebrafish tail fin vasculature illustrates how blood vessels assemble in a stepwise manner to irrigate a mature organ.

Summary: First transcriptomic analysis of the forming vestibular lamina reveals a role for Hedgehog signalling in coordinating development of the teeth and oral vestibule.

Summary: Iqch mutant mice reveal that Iqch controls a network of alternative splicing events in postmitotic germ cells that are necessary to establish the correct protein isoforms required for spermatid development.

Summary: The short isoform of TOM-1/tomosyn inhibits growth cone protrusion downstream of the netrin receptor UNC-5 during growth cone outgrowth, whereas long isoforms have a pro-protrusive role.

Summary: Zasp52 is a key component of supracellular actomyosin cables during epithelial morphogenesis that serve to insulate morphogenetic changes from each other.

TECHNIQUES AND RESOURCES

Summary: An accessible image analysis method for biologists that includes easy-to-use deep learning algorithms and is designed for accurate quantitative measurement of ovarian content from complex 3D fluorescent images.

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