Characterizing temperature robustness in degenerate neural circuits - Project Summary
Robust neuronal signaling requires the coordinated function of several ionic currents (Hille, 2001). Voltage-
dependent ionic currents have nonlinear dynamics and their effects on membrane potential are strongly
interdependent (Bean, 2007). Adding to this complexity is the presence of rich genetic and epigenetic
organismal variation, which is one of the many sources of animal-to-animal variability in a population (Gibson
and Dworkin, 2004; Raj and van Oudenaarden, 2008; Schulz et al., 2006). Nevertheless, biological systems
are extraordinarily robust, maintaining stability under a wide variety of physiologically relevant perturbations
(Braendle and Félix, 2008; Kitano, 2004; Masel and Siegal, 2009; Whitacre, 2012). The proposed work
investigates how degenerate neural circuits are related to one another and explores the consequences of
these functional differences on system robustness. This study will advance our basic understanding of single
neuron and circuit dynamics within a diverse population, which is relevant to the development of personalized
medicine to treat neurological disorders (Hamburg and Collins, 2010; Katsios and Roukos, 2010).
This project utilizes the crustacean stomatogastric ganglion (STG) model system. The STG is ideally suited for
studies of robustness because it produces stereotyped rhythmic motor patterns that can easily be classified as
robust or abnormal (Haddad and Marder, 2018; Marder and Bucher, 2007). Furthermore, the wild-caught
population used for this study will effectively capture natural biological variation. Crustacean habitats can
experience significant temperature fluctuations, and temperature robustness has been previously
characterized in the STG (Tang et al., 2010). Examining network activity across temperature will facilitate the
assessment of circuit robustness. The proposed research will use a combination of computational modeling
and experimental approaches to explore the role of an ionic current in different contexts, whether that be
across cell types or across variable genetic backgrounds. This work will test a hypothesis that functional
degeneracy among ionic currents may be masked in standard conditions but revealed under perturbations
such as elevated temperature. Another goal of this research is to characterize degeneracy between voltage-
dependent and synaptic currents. If this functional degeneracy exists, it could provide the means for a single
neuron to improve the function of a globally disrupted circuit. This would be a powerful mechanism of
robustness that would also permit variability in degenerate voltage-dependent currents.
The fellowship award will support a training plan consisting primarily of research activities in addition to
undergraduate teaching and/or mentorship and attendance at meetings and conferences that will support the
proposed research goals. The research training will be conducted at Brandeis University, an academic
institution with vibrant neuroscience and quantitative biology research communities.