Abstracts - Society for Developmental Biology
Abstracts - Society for Developmental Biology
Abstracts - Society for Developmental Biology
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8<br />
mutants, but is retained at the cell surface in vangl2 KOs. Similarly the distribution of Prickle-like2, a putative Vangl2<br />
interacting protein, is differentially affected in the two lines. We propose that altered Vangl2S464N trafficking prevents<br />
the delivery of multiple polarity proteins to the cell surface and that this net effect underlies the dominant phenotypic traits<br />
associated with the Looptail mutation. One interpretation is that prior genetic interactions with Looptail may be indirect<br />
and reflect a permissive enhancement of this semi-dominant phenotype.<br />
Program/Abstract # 22<br />
miRNA-mediated regulation of shoot maturation in plants<br />
Yang, Li; Willmann, Matthew; Park, Mee Yeon; Wu, Gang; Poethig, Scott, University of Pennsylvania, Philadelphia,<br />
United States<br />
A plant shoot changes with time. Some changes occur quickly and are associated with major alterations in shoot<br />
architecture, whereas others occur gradually and may have no obvious morphological manifestation. Microarray analysis<br />
of gene expression in shoot apices, leaf primordia, and fully-expanded leaves of early (FRI flc-3) and late-flowering (FRI<br />
FLC) genotypes of Arabidopsis revealed six major temporal programs. Three of these programs are features of leaf<br />
development (leaf maturation, leaf aging, leaf senescence), and three involve changes in the character of the entire shoot<br />
(vegetative phase change, flower induction,aging). We are particularly interested in the mechanism of vegetative phase<br />
change—the transition from a juvenile toan adult phase of shoot development. This process is regulated by a decrease in<br />
the expression of two related microRNAs miR156 and miR157, which act to promote the expression of the juvenile phase.<br />
Ablation studies reveal that this decline is mediated by a factor(s) produced by existing leaf primordia, which acts on<br />
newly <strong>for</strong>med primordia. Evidence indicating that this factor is a sugar will be presented.<br />
Program/Abstract # 24<br />
The recruitment of poised Pol II is regulated over developmental time<br />
Gaertner, Bjoern; Chen, Kai; Shao, Wanqing; Meier, Sam; Johnston, Jeff ; Zeitlinger, Julia, Stowers Inst <strong>for</strong> Medical<br />
Research, Kansas City, United States<br />
Poised RNA polymerase II (Pol II) is predominantly found at developmental control genes and is thought to allow their<br />
rapid and synchronous induction in response to extracellular signals. However, whether the recruitment of poised RNA Pol<br />
II is itself regulated during development has not been explored. We have analyzed the genome-wide pattern of poised Pol<br />
II during the activation of zygotic transcription in early Drosophila embryos, as well as by isolating muscle tissue at five<br />
stages of differentiation. We show that the recruitment of poised Pol II is predominantly established during the second<br />
wave of zygotic genome activation, also known as midblastula transition. During differentiation, many more genes acquire<br />
poised Pol II over developmental time and this recruitment is associated with changes in chromatin. Furthermore, the<br />
genome-wide pattern of poised Pol II helps predict future gene activation in a stage-specific but not tissue-specific fashion.<br />
We conclude that the recruitment of poised Pol II is a checkpoint <strong>for</strong> developmental timing.<br />
Program/Abstract # 25<br />
Understanding and predicting cis-regulatory activity<br />
Furlong, Eileen, EMBL-Heidelberg, Germany<br />
The precise regulation of gene expression is crucial <strong>for</strong> almost all biological processes. In development, spatio-temporal<br />
patterns of gene expression are controlled by extensive regulatory networks, where the activity of transcription factors<br />
converge on cis-regulatory modules (CRMs) or enhancer elements. The location and even combinatorial occupancy of<br />
CRMs can be experimentally measured using ChIP-seq at specific stages of development, at high-resolution. A current<br />
major challenge however, is how to interpret these transcription factor's binding data in terms of the resulting spatiotemporal<br />
enhancer activity. Using the integration of a machine learning approach with enhancers of known activity, we<br />
recently demonstrated that transcription factor occupancy alone is sufficient to predict enhancer spatio-temporal activity<br />
during development. We have now complemented this by generating cell-type specific in<strong>for</strong>mation on chromatin state<br />
within the context of a developing embryo using a new method that we developed called Batch Tissue Specific<br />
ChIP(BiTS-ChIP). The data reveal heterogeneous combinations of chromatin marks linked to active enhancers. Using a<br />
Bayesian network, we show that chromatin state is sufficient to predict, not just the location, but activity state of regulatory<br />
elements, accurately distinguishing between enhancers in an active versus inactive state. The model revealed that Pol II<br />
occupancy is highly predictive <strong>for</strong> the precise timing of enhancer activity and is tightly correlated with both the timing and<br />
location of transcription factor occupancy. Taken together, this approach provides a systematic and high-resolution view of<br />
dynamic enhancer usage during development, and essential step toward deciphering developmental networks.