@article {Luo4261, author = {Linjiao Luo and Marc Gershow and Mark Rosenzweig and KyeongJin Kang and Christopher Fang-Yen and Paul A. Garrity and Aravinthan D. T. Samuel}, title = {Navigational Decision Making in Drosophila Thermotaxis}, volume = {30}, number = {12}, pages = {4261--4272}, year = {2010}, doi = {10.1523/JNEUROSCI.4090-09.2010}, publisher = {Society for Neuroscience}, abstract = {A mechanistic understanding of animal navigation requires quantitative assessment of the sensorimotor strategies used during navigation and quantitative assessment of how these strategies are regulated by cellular sensors. Here, we examine thermotactic behavior of the Drosophila melanogaster larva using a tracking microscope to study individual larval movements on defined temperature gradients. We discover that larval thermotaxis involves a larger repertoire of strategies than navigation in smaller organisms such as motile bacteria and Caenorhabditis elegans. Beyond regulating run length (i.e., biasing a random walk), the Drosophila melanogaster larva also regulates the size and direction of turns to achieve and maintain favorable orientations. Thus, the sharp turns in a larva{\textquoteright}s trajectory represent decision points for selecting new directions of forward movement. The larva uses the same strategies to move up temperature gradients during positive thermotaxis and to move down temperature gradients during negative thermotaxis. Disrupting positive thermotaxis by inactivating cold-sensitive neurons in the larva{\textquoteright}s terminal organ weakens all regulation of turning decisions, suggesting that information from one set of temperature sensors is used to regulate all aspects of turning decisions. The Drosophila melanogaster larva performs thermotaxis by biasing stochastic turning decisions on the basis of temporal variations in thermosensory input, thereby augmenting the likelihood of heading toward favorable temperatures at all times.}, issn = {0270-6474}, URL = {https://www.jneurosci.org/content/30/12/4261}, eprint = {https://www.jneurosci.org/content/30/12/4261.full.pdf}, journal = {Journal of Neuroscience} }