Optimized tools for multicolor stochastic labeling reveal diverse stereotyped cell arrangements in the fly visual system

Significance Nervous systems contain vast numbers of neurons with diverse shapes and complex spatial relationships. We describe new genetic tools for the efficient visualization by light microscopy of individual neurons and their relative positions in Drosophila. The application of these methods to the visual system revealed an unexpected diversity of cell-type–specific arrangements of neuronal processes within a single brain region. This wide range of stereotyped cell arrangements provides distinct circuit elements for processing visual information and implies the existence of a surprisingly large number of genetic programs that produce these arrangements during development. We describe the development and application of methods for high-throughput neuroanatomy in Drosophila using light microscopy. These tools enable efficient multicolor stochastic labeling of neurons at both low and high densities. Expression of multiple membrane-targeted and distinct epitope-tagged proteins is controlled both by a transcriptional driver and by stochastic, recombinase-mediated excision of transcription-terminating cassettes. This MultiColor FlpOut (MCFO) approach can be used to reveal cell shapes and relative cell positions and to track the progeny of precursor cells through development. Using two different recombinases, the number of cells labeled and the number of color combinations observed in those cells can be controlled separately. We demonstrate the utility of MCFO in a detailed study of diversity and variability of Distal medulla (Dm) neurons, multicolumnar local interneurons in the adult visual system. Similar to many brain regions, the medulla has a repetitive columnar structure that supports parallel information processing together with orthogonal layers of cell processes that enable communication between columns. We find that, within a medulla layer, processes of the cells of a given Dm neuron type form distinct patterns that reflect both the morphology of individual cells and the relative positions of their arbors. These stereotyped cell arrangements differ between cell types and can even differ for the processes of the same cell type in different medulla layers. This unexpected diversity of coverage patterns provides multiple independent ways of integrating visual information across the retinotopic columns and implies the existence of multiple developmental mechanisms that generate these distinct patterns.

[1]  Yuh Nung Jan,et al.  Tiling of the Drosophila epidermis by multidendritic sensory neurons. , 2002, Development.

[2]  K. Fischbach,et al.  The optic lobe of Drosophila melanogaster , 2004, Cell and Tissue Research.

[3]  Cyrille Alexandre,et al.  Flybow: genetic multicolor cell labeling for neural circuit analysis in Drosophila melanogaster , 2011, Nature Methods.

[4]  Santiago Ramón y Cajal,et al.  Contribución al conocimiento de los centros nerviosos de los insectos , 1915 .

[5]  Charles R. Gerfen,et al.  High-performance probes for light and electron microscopy , 2015, Nature Methods.

[6]  G. Rubin,et al.  Tools for neuroanatomy and neurogenetics in Drosophila , 2008, Proceedings of the National Academy of Sciences.

[7]  Julie H. Simpson,et al.  A GAL4-driver line resource for Drosophila neurobiology. , 2012, Cell reports.

[8]  R. W. Draft,et al.  Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system , 2007, Nature.

[9]  R. Masland Neuronal diversity in the retina , 2001, Current Opinion in Neurobiology.

[10]  N. Strausfeld The optic lobes of Diptera. , 1970, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[11]  Concentric zones, cell migration and neuronal circuits in the Drosophila visual center , 2011, Development.

[12]  John Tyler Bonner,et al.  Morphogenesis , 1965, Cell.

[13]  C. Desplan,et al.  Temporal patterning of Drosophila medulla neuroblasts controls neural fates , 2013, Nature.

[14]  Stephan J. Sigrist,et al.  Bruchpilot, a Protein with Homology to ELKS/CAST, Is Required for Structural Integrity and Function of Synaptic Active Zones in Drosophila , 2006, Neuron.

[15]  G. Rubin,et al.  Refinement of Tools for Targeted Gene Expression in Drosophila , 2010, Genetics.

[16]  G. Rubin,et al.  Neuroarchitecture and neuroanatomy of the Drosophila central complex: A GAL4-based dissection of protocerebral bridge neurons and circuits , 2014, The Journal of comparative neurology.

[17]  Andreas S. Thum,et al.  The Neural Substrate of Spectral Preference in Drosophila , 2008, Neuron.

[18]  Claude Desplan,et al.  The Color-Vision Circuit in the Medulla of Drosophila , 2008, Current Biology.

[19]  Hanchuan Peng,et al.  V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets , 2010, Nature Biotechnology.

[20]  Aljoscha Nern,et al.  Multiple new site-specific recombinases for use in manipulating animal genomes , 2011, Proceedings of the National Academy of Sciences.

[21]  F. Watt,et al.  Lineage Tracing , 2012, Cell.

[22]  Michael B. Reiser,et al.  Contributions of the 12 Neuron Classes in the Fly Lamina to Motion Vision , 2013, Neuron.

[23]  Alexander Borst,et al.  Neurons with cholinergic phenotype in the visual system of Drosophila , 2011, The Journal of comparative neurology.

[24]  B. Dickson,et al.  Genome-scale functional characterization of Drosophila developmental enhancers in vivo , 2014, Nature.

[25]  Sen-Lin Lai,et al.  Genetic mosaic with dual binary transcriptional systems in Drosophila , 2006, Nature Neuroscience.

[26]  Liqun Luo,et al.  Mosaic Analysis with a Repressible Cell Marker for Studies of Gene Function in Neuronal Morphogenesis , 1999, Neuron.

[27]  T. Terwilliger,et al.  Engineering and characterization of a superfolder green fluorescent protein , 2006, Nature Biotechnology.

[28]  Julie H. Simpson,et al.  Genetic Manipulation of Genes and Cells in the Nervous System of the Fruit Fly , 2011, Neuron.

[29]  Guan-Yu Chen,et al.  Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution , 2011, Current Biology.

[30]  J. Truman,et al.  Nitric Oxide and Cyclic GMP Regulate Retinal Patterning in the Optic Lobe of Drosophila , 1998, Neuron.

[31]  N. Perrimon,et al.  Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. , 1993, Development.

[32]  Ian A. Meinertzhagen,et al.  Wiring Economy and Volume Exclusion Determine Neuronal Placement in the Drosophila Brain , 2011, Current Biology.

[33]  Shin-ya Takemura,et al.  Synaptic circuits of the Drosophila optic lobe: The input terminals to the medulla , 2008, The Journal of comparative neurology.

[34]  B. Dickson,et al.  Diversity and wiring variability of visual local neurons in the Drosophila medulla M6 stratum , 2014, The Journal of comparative neurology.

[35]  Louis K. Scheffer,et al.  A visual motion detection circuit suggested by Drosophila connectomics , 2013, Nature.

[36]  J. Sanes,et al.  Design Principles of Insect and Vertebrate Visual Systems , 2010, Neuron.

[37]  Alexander Borst,et al.  Candidate Glutamatergic Neurons in the Visual System of Drosophila , 2011, PloS one.

[38]  Alexander Borst,et al.  Neurons with GABAergic phenotype in the visual system of Drosophila , 2013, The Journal of comparative neurology.

[39]  Gerald M Rubin,et al.  Using translational enhancers to increase transgene expression in Drosophila , 2012, Proceedings of the National Academy of Sciences.

[40]  Konrad Basler,et al.  Organizing activity of wingless protein in Drosophila , 1993, Cell.

[41]  G. Rubin,et al.  The neuronal architecture of the mushroom body provides a logic for associative learning , 2014, eLife.

[42]  N. Strausfeld,et al.  The optic lobes of Lepidoptera. , 1970, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[43]  K. Fischbach,et al.  The optic lobe of Drosophila melanogaster. I. A Golgi analysis of wild-type structure , 1989, Cell and Tissue Research.

[44]  Konrad Basler,et al.  Compartment boundaries and the control of Drosopfiffa limb pattern by hedgehog protein , 1994, Nature.

[45]  Julie H. Simpson,et al.  Drosophila Brainbow: a recombinase-based fluorescent labeling technique to subdivide neural expression patterns , 2011, Nature Methods.

[46]  Iris Salecker,et al.  Versatile genetic paintbrushes: Brainbow technologies , 2014, Wiley interdisciplinary reviews. Developmental biology.

[47]  I. Meinertzhagen,et al.  Synaptic organization of columnar elements in the lamina of the wild type in Drosophila melanogaster , 1991, The Journal of comparative neurology.