Liquid liquid phase separation of transcription factors Bicoid and Zelda as a mechanism of transcriptional regulation in Drosophila melanogaster embryos.
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Abstract
The morphogenic transcription factor (TF) Bicoid (Bcd) helps tissue patterning by
activating transcription in a spatially dependent manner along its exponentially de-
caying anterior-posterior (AP) concentration gradient. The hunchback gene (hb), one
of many Bcd target genes, exhibits a stepwise expression boundary with high anterior
activation and low posterior activation, connected by a steep boundary near the mid-
point of the embryo. Despite being one of the first and most well-studied examples of
morphogenic gene regulation, the hb boundary continues to astound with the remark-
able speed, precision, and sharpness with which it forms, evading a complete physical
explanation. Recent observations have taken note of the spatial heterogeneity of Bcd
molecules within nuclei and have speculated about the potential role of liquid-liquid
phase separation (LLPS) on Bcd-hb gene regulation. This work combines theory
with experiment, using Airyscan fluorescent microscopy to experimentally probe the
clustering properties of Bcd and an associated TF Zelda (Zld), across AP position
and time, while using computational models to simulate the potential impact that
LLPS of Bcd and Zld may have on hb gene expression. Although theoretical models
of a mid-embryo phase transition show an increase in transcription from the non-
clustering case and a sharper expression boundary consistent with experimentally
measured gene expression, experimental observations of cluster properties contradict
iv
the assumption of a mid-embryo phase transition. Rather, Airyscan microscopy sug-
gests clustering throughout the embryo and a dependence of Bcd clustering on total
Bcd nuclear concentration. Extending theoretical models to a three-component LLPS
system, gene expression boundary steepness is again improved from the non-clustering
case, this time at positions consistent with experimental data from the literature and
with better agreement with experimental cluster properties. This data shows that
LLPS may play a role in gene regulation in this and similar systems.