@article {45854, title = {A consistent muscle activation strategy underlies crawling and swimming in Caenorhabditis elegans.}, journal = {Journal of the Royal Society Interface}, volume = {12}, year = {2015}, month = {2015 Jan 6}, pages = {20140963}, abstract = {

Although undulatory swimming is observed in many organisms, the neuromuscular basis for undulatory movement patterns is not well understood. To better understand the basis for the generation of these movement patterns, we studied muscle activity in the nematode Caenorhabditis elegans. Caenorhabditis elegans exhibits a range of locomotion patterns: in low viscosity fluids the undulation has a wavelength longer than the body and propagates rapidly, while in high viscosity fluids or on agar media the undulatory waves are shorter and slower. Theoretical treatment of observed behaviour has suggested a large change in force-posture relationships at different viscosities, but analysis of bend propagation suggests that short-range proprioceptive feedback is used to control and generate body bends. How muscles could be activated in a way consistent with both these results is unclear. We therefore combined automated worm tracking with calcium imaging to determine muscle activation strategy in a variety of external substrates. Remarkably, we observed that across locomotion patterns spanning a threefold change in wavelength, peak muscle activation occurs approximately 45{\textdegree} (1/8th of a cycle) ahead of peak midline curvature. Although the location of peak force is predicted to vary widely, the activation pattern is consistent with required force in a model incorporating putative length- and velocity-dependence of muscle strength. Furthermore, a linear combination of local curvature and velocity can match the pattern of activation. This suggests that proprioception can enable the worm to swim effectively while working within the limitations of muscle biomechanics and neural control.

}, issn = {1742-5662}, author = {Butler, Victoria J and Branicky, Robyn and Yemini, Eviatar and Liewald, Jana F and Gottschalk, Alexander and Kerr, Rex A and Chklovskii, Dmitri B and Schafer, William R} } @article {6262, title = {High-throughput analysis of stimulus-evoked behaviors in Drosophila larva reveals multiple modality-specific escape strategies.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013 Aug 20}, pages = {e71706}, abstract = {

All organisms react to noxious and mechanical stimuli but we still lack a complete understanding of cellular and molecular mechanisms by which somatosensory information is transformed into appropriate motor outputs. The small number of neurons and excellent genetic tools make Drosophila larva an especially tractable model system in which to address this problem. We developed high throughput assays with which we can simultaneously expose more than 1,000 larvae per man-hour to precisely timed noxious heat, vibration, air current, or optogenetic stimuli. Using this hardware in combination with custom software we characterized larval reactions to somatosensory stimuli in far greater detail than possible previously. Each stimulus evoked a distinctive escape strategy that consisted of multiple actions. The escape strategy was context-dependent. Using our system we confirmed that the nociceptive class IV multidendritic neurons were involved in the reactions to noxious heat. Chordotonal (ch) neurons were necessary for normal modulation of head casting, crawling and hunching, in response to mechanical stimuli. Consistent with this we observed increases in calcium transients in response to vibration in ch neurons. Optogenetic activation of ch neurons was sufficient to evoke head casting and crawling. These studies significantly increase our understanding of the functional roles of larval ch neurons. More generally, our system and the detailed description of wild type reactions to somatosensory stimuli provide a basis for systematic identification of neurons and genes underlying these behaviors.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0071706}, author = {Ohyama, Tomoko and Jovanic, Tihana and Denisov, Gennady and Dang, Tam C and Hoffmann, Dominik and Kerr, Rex A and Zlatic, Marta} } @article {6528, title = {Intensity discrimination deficits cause habituation changes in middle-aged Caenorhabditis elegans.}, journal = {Neurobiology of Aging}, volume = {34}, year = {2013}, month = {2013 Feb}, pages = {621-31}, abstract = {

The ability to learn and remember is critical for all animals to survive in the ever-changing environment. As we age, many of our biological faculties decay and of these, decline in learning and memory can be the most distressing. To carefully define age-dependent changes in learning during reproductive age in the nematode Caenorhabditis elegans, we performed a parametric behavioral study of habituation to nonlocalized mechanical stimuli (petri plate taps) over a range of intensities in middle-aged worms. We found that as worms age (from the onset of reproduction to the end of egg laying), response probability habituation increases (at both 10- and 60-second interstimulus intervals) and that these age-related changes were associated with a decrease in the discrimination between stimuli of different intensities. We also used optogenetics to investigate where these age-dependent changes occur. Our data suggest that the changes occur upstream of mechanosensory neuron depolarization. These data support the idea that declines in stimulus intensity discrimination abilities during aging may be one variable underlying age-related cognitive deficits.

}, keywords = {Age Factors, Aging, Animal, Animals, Behavior, Caenorhabditis elegans, Discrimination (Psychology), Habituation, Memory, Physical Stimulation, Psychophysiologic, Short-Term}, issn = {1558-1497}, doi = {10.1016/j.neurobiolaging.2012.03.016}, author = {Timbers, Tiffany A and Giles, Andrew C and Ardiel, Evan L and Kerr, Rex A and Rankin, Catharine H} } @article {6579, title = {A neuron-based screening platform for optimizing genetically-encoded calcium indicators.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e77728}, abstract = {

Fluorescent protein-based sensors for detecting neuronal activity have been developed largely based on non-neuronal screening systems. However, the dynamics of neuronal state variables (e.g., voltage, calcium, etc.) are typically very rapid compared to those of non-excitable cells. We developed an electrical stimulation and fluorescence imaging platform based on dissociated rat primary neuronal cultures. We describe its use in testing genetically-encoded calcium indicators (GECIs). Efficient neuronal GECI expression was achieved using lentiviruses containing a neuronal-selective gene promoter. Action potentials (APs) and thus neuronal calcium levels were quantitatively controlled by electrical field stimulation, and fluorescence images were recorded. Images were segmented to extract fluorescence signals corresponding to individual GECI-expressing neurons, which improved sensitivity over full-field measurements. We demonstrate the superiority of screening GECIs in neurons compared with solution measurements. Neuronal screening was useful for efficient identification of variants with both improved response kinetics and high signal amplitudes. This platform can be used to screen many types of sensors with cellular resolution under realistic conditions where neuronal state variables are in relevant ranges with respect to timing and amplitude.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0077728}, author = {Wardill, Trevor J. and Chen, Tsai-Wen and Schreiter, Eric R and Hasseman, Jeremy P and Tsegaye, Getahun and Fosque, Benjamin F and Behnam, Reza and Shields, Brenda C and Ramirez, Melissa and Kimmel, Bruce E and Kerr, Rex A and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S.} } @article {6124, title = {Ultrasensitive fluorescent proteins for imaging neuronal activity.}, journal = {Nature}, volume = {499}, year = {2013}, month = {2013 Jul 18}, pages = {295-300}, abstract = {

Fluorescent calcium sensors are widely used to image neural activity. Using structure-based mutagenesis and neuron-based screening, we developed a family of ultrasensitive protein calcium sensors (GCaMP6) that outperformed other sensors in cultured neurons and in zebrafish, flies and mice in vivo. In layer 2/3 pyramidal neurons of the mouse visual cortex, GCaMP6 reliably detected single action potentials in neuronal somata and orientation-tuned synaptic calcium transients in individual dendritic spines. The orientation tuning of structurally persistent spines was largely stable over timescales of weeks. Orientation tuning averaged across spine populations predicted the tuning of their parent cell. Although the somata of GABAergic neurons showed little orientation tuning, their dendrites included highly tuned dendritic segments (5{\textendash}40-{\textmu}m long). GCaMP6 sensors thus provide new windows into the organization and dynamics of neural circuits over multiple spatial and temporal scales.

}, doi = {10.1038/nature12354}, author = {Chen, Tsai-Wen and Wardill, Trevor J. and Sun, Yi and Pulvar, Stefan R. and Renninger, Sabine L. and Baohan, Amy and Schreiter, Eric R and Kerr, Rex A and Orger, Michael B. and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S.} } @article {6135, title = {High-throughput behavioral analysis in C. elegans.}, journal = {Nature Methods}, volume = {8}, year = {2011}, month = {2011 Jun 5}, pages = {592-8}, abstract = {

We designed a real-time computer vision system, the Multi-Worm Tracker (MWT), which can simultaneously quantify the behavior of dozens of Caenorhabditis elegans on a Petri plate at video rates. We examined three traditional behavioral paradigms using this system: spontaneous movement on food, where the behavior changes over tens of minutes; chemotaxis, where turning events must be detected accurately to determine strategy; and habituation of response to tap, where the response is stochastic and changes over time. In each case, manual analysis or automated single-worm tracking would be tedious and time-consuming, but the MWT system allowed rapid quantification of behavior with minimal human effort. Thus, this system will enable large-scale forward and reverse genetic screens for complex behaviors.

}, keywords = {Animal, Animals, Behavior, Caenorhabditis elegans, Chemotaxis, Computer-Assisted, Image Processing, Movement, Software, Stochastic Processes, Time Factors}, issn = {1548-7105}, doi = {10.1038/nmeth.1625}, author = {Swierczek, Nicholas A and Giles, Andrew C and Rankin, Catharine H and Kerr, Rex A} } @article {2012, title = {Fast monte carlo simulation methods for biological reaction-diffusion systems in solution and on surfaces.}, journal = {SIAM Journal on Scientific Computing: A Publication of the Society for Industrial and Applied Mathematics}, volume = {30}, year = {2008}, month = {2008 Oct 13}, pages = {3126}, abstract = {

Many important physiological processes operate at time and space scales far beyond those accessible to atom-realistic simulations, and yet discrete stochastic rather than continuum methods may best represent finite numbers of molecules interacting in complex cellular spaces. We describe and validate new tools and algorithms developed for a new version of the MCell simulation program (MCell3), which supports generalized Monte Carlo modeling of diffusion and chemical reaction in solution, on surfaces representing membranes, and combinations thereof. A new syntax for describing the spatial directionality of surface reactions is introduced, along with optimizations and algorithms that can substantially reduce computational costs (e.g., event scheduling, variable time and space steps). Examples for simple reactions in simple spaces are validated by comparison to analytic solutions. Thus we show how spatially realistic Monte Carlo simulations of biological systems can be far more cost-effective than often is assumed, and provide a level of accuracy and insight beyond that of continuum methods.

}, issn = {1095-7197}, doi = {10.1137/070692017}, author = {Kerr, Rex A and Bartol, Thomas M and Kaminsky, Boris and Dittrich, Markus and Chang, Jen-Chien Jack and Baden, Scott B and Sejnowski, Terrence J and Stiles, Joel R} } @article {2013, title = {Division accuracy in a stochastic model of Min oscillations in Escherichia coli.}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {103}, year = {2006}, month = {2006 Jan 10}, pages = {347-52}, abstract = {

Accurate cell division in Escherichia coli requires the Min proteins MinC, MinD, and MinE as well as the presence of nucleoids. MinD and MinE exhibit spatial oscillations, moving from pole to pole of the bacterium, resulting in an average MinD concentration that is low at the center of the cell and high at the poles. This concentration minimum is thought to signal the site of cell division. Deterministic models of the Min oscillations reproduce many observed features of the system, including the concentration minimum of MinD. However, there are only a few thousand Min proteins in a bacterium, so stochastic effects are likely to play an important role. Here, we show that Monte Carlo simulations with a large number of proteins agree well with the results from a deterministic treatment of the equations. The location of minimum local MinD concentration is too variable to account for cell division accuracy in wild type but is consistent with the accuracy of cell division in cells without nucleoids. This finding confirms the need to include additional mechanisms, such as reciprocal interactions with the cell division ring or positioning of the nucleoids, to explain wild-type accuracy.

}, keywords = {Adenosine Triphosphatases, Biological, Biophysical Phenomena, Biophysics, Cell Cycle Proteins, Cell Division, Escherichia coli, Escherichia coli Proteins, Models, Monte Carlo Method, Stochastic Processes}, issn = {0027-8424}, doi = {10.1073/pnas.0505825102}, author = {Kerr, Rex A and Levine, Herbert and Sejnowski, Terrence J and Rappel, Wouter-Jan} }