scholarly journals Neural Changes Underlying Rapid Fly Song Evolution

2017 ◽  
Author(s):  
Yun Ding ◽  
Joshua L. Lillvis ◽  
Jessica Cande ◽  
Gordon J. Berman ◽  
Benjamin J. Arthur ◽  
...  
Keyword(s):  
Nervous System ◽  
Drosophila Melanogaster ◽  
Experimental Approach ◽  
Neural Circuits ◽  
Neural Circuitry ◽  
Courtship Song ◽  
Neural Basis ◽  
Electrophysiological Properties ◽  
Song Types ◽  
Behavioural Diversity

AbstractThe neural basis for behavioural evolution is poorly understood. Functional comparisons of homologous neurons may reveal how neural circuitry contributes to behavioural evolution, but homologous neurons cannot be identified and manipulated in most taxa. Here, we compare the function of homologous courtship song neurons by exporting neurogenetic reagents that label identified neurons in Drosophila melanogaster to D. yakuba. We found a conserved role for a cluster of brain neurons that establish a persistent courtship state. In contrast, a descending neuron with conserved electrophysiological properties drives different song types in each species. Our results suggest that song evolved, in part, due to changes in the neural circuitry downstream of this descending neuron. This experimental approach can be generalized to other neural circuits and therefore provides an experimental framework for studying how the nervous system has evolved to generate behavioural diversity.

scholarly journals FlyLimbTracker: an active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila

2016 ◽  
Author(s):  
Virginie Uhlmann ◽  
Pavan Ramdya ◽  
Ricard Delgado-Gonzalo ◽  
Richard Benton ◽  
Michael Unser
Keyword(s):  
Nervous System ◽  
Drosophila Melanogaster ◽  
Open Source ◽  
Active Contour ◽  
The Body ◽  
Software Implementation ◽  
Neural Basis ◽  
Wide Range ◽  
Freely Behaving ◽  
Leg Movements

AbstractUnderstanding the biological underpinnings of movement and action requires the development of tools for precise, quantitative, and high-throughput measurements of animal behavior. Drosophila melanogaster provides an ideal model for developing such tools: the fly has unparalleled genetic accessibility and depends on a relatively compact nervous system to generate sophisticated limbed behaviors including walking, reaching, grooming, courtship, and boxing. Here we describe a method that uses active contours to semi-automatically track body and leg segments from video image sequences of unmarked, freely behaving Drosophila. We show that this approach is robust to wide variations in video spatial and temporal resolution and that it can be used to measure leg segment motions during a variety of locomotor and grooming behaviors. FlyLimbTracker, the software implementation of this method, is open-source and our approach is generalizable. This opens up the possibility of tracking leg movements in other species by modifications of underlying active contour models.Author SummaryIn terrestrial animals, including humans, fundamental actions like locomotion and grooming emerge from the displacement of multiple limbs through space. Therefore, precise measurements of limb movements are critical for investigating and, ultimately, understanding the neural basis for behavior. The vinegar fly, Drosophila melanogaster, is an attractive animal model for uncovering general principles about limb control since its genome and nervous system are easy to manipulate. However, existing methods for measuring leg movements in freely behaving Drosophila have significant drawbacks: they require complicated experimental setups and provide limited information about each leg. Here we report a new method - and provide its open-source software implementation, FlyLimbTracker - for tracking the body and leg segments of freely behaving flies using only computational image processing approaches. We illustrate the power of this method by tracking fly limbs during five distinct walking and grooming behaviors and from videos across a wide range of spatial and temporal resolutions. Our approach is generalizable, allowing researchers to use and customize our software for limb tracking in Drosophila and in other species.

scholarly journals Neural basis of hunger-driven behaviour in Drosophila

Open Biology ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 180259 ◽  
Author(s):  
Suewei Lin ◽  
Bhagyashree Senapati ◽  
Chang-Hui Tsao
Keyword(s):  
Nervous System ◽  
Drosophila Melanogaster ◽  
Fruit Fly ◽  
Model System ◽  
Neural Basis ◽  
Motivational State ◽  
Psychological Sense ◽  
Food Seeking ◽  
Behavioural Repertoire ◽  
Feeding Behaviours

Hunger is a motivational state that drives eating and food-seeking behaviour. In a psychological sense, hunger sets the goal that guides an animal in the pursuit of food. The biological basis underlying this purposive, goal-directed nature of hunger has been under intense investigation. With its rich behavioural repertoire and genetically tractable nervous system, the fruit fly Drosophila melanogaster has emerged as an excellent model system for studying the neural basis of hunger and hunger-driven behaviour. Here, we review our current understanding of how hunger is sensed, encoded and translated into foraging and feeding behaviours in the fruit fly.

scholarly journals Circuits and Synapses: Hypothesis, Observation, Controversy and Serendipity – An Opinion Piece

2021 ◽  
Vol 15 ◽  
Author(s):  
Alex M. Thomson
Keyword(s):  
Nervous System ◽  
Experimental Design ◽  
Experimental Approach ◽  
Neural Circuits ◽  
Neuronal Circuits ◽  
Opinion Piece ◽  
Important Progress

More than a century of dedicated research has resulted in what we now know, and what we think we know, about synapses and neural circuits. This piece asks to what extent some of the major advances – both theoretical and practical – have resulted from carefully considered theory, or experimental design: endeavors that aim to address a question, or to refute an existing hypothesis. It also, however, addresses the important part that serendipity and chance have played. There are cases where hypothesis driven research has resulted in important progress. There are also examples where a hypothesis, a model, or even an experimental approach – particularly one that seems to provide welcome simplification – has become so popular that it becomes dogma and stifles advance in other directions. The nervous system rejoices in complexity, which should neither be ignored, nor run from. The emergence of testable “rules” that can simplify our understanding of neuronal circuits has required the collection of large amounts of data that were difficult to obtain. And although those collecting these data have been criticized for not advancing hypotheses while they were “collecting butterflies,” the beauty of the butterflies always enticed us toward further exploration.

scholarly journals Neurons interact with the microbiome: an evolutionary-informed perspective

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Christoph Giez ◽  
Alexander Klimovich ◽  
Thomas C. G. Bosch
Keyword(s):  
Nervous System ◽  
Neural Circuits ◽  
Current Knowledge ◽  
System Development ◽  
Nervous System Development ◽  
Comprehensive Understanding ◽  
Strategic Model ◽  
Microbe Interactions ◽  
Host Microbe Interactions ◽  
And Function

Abstract Animals have evolved within the framework of microbes and are constantly exposed to diverse microbiota. Microbes colonize most, if not all, animal epithelia and influence the activity of many organs, including the nervous system. Therefore, any consideration on nervous system development and function in the absence of the recognition of microbes will be incomplete. Here, we review the current knowledge on the nervous systems of Hydra and its role in the host–microbiome communication. We show that recent advances in molecular and imaging methods are allowing a comprehensive understanding of the capacity of such a seemingly simple nervous system in the context of the metaorganism. We propose that the development, function and evolution of neural circuits must be considered in the context of host–microbe interactions and present Hydra as a strategic model system with great basic and translational relevance for neuroscience.

scholarly journals Spatio-temporal expression of Prospero is finely tuned to allow the correct development and function of the nervous system in Drosophila melanogaster

2007 ◽  
Vol 304 (1) ◽  
pp. 62-74 ◽  
Author(s):  
Laure Guenin ◽  
Yaël Grosjean ◽  
Stéphane Fraichard ◽  
Angel Acebes ◽  
Fawzia Baba-Aissa ◽  
...  
Keyword(s):  
Nervous System ◽  
Drosophila Melanogaster ◽  
Temporal Expression ◽  
Spatio Temporal ◽  
And Function

scholarly journals Expression of a Drosophila melanogaster acetylcholine receptor-related gene in the central nervous system.

1988 ◽  
Vol 8 (2) ◽  
pp. 778-785 ◽  
Author(s):  
S C Wadsworth ◽  
L S Rosenthal ◽  
K L Kammermeyer ◽  
M B Potter ◽  
D J Nelson
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Drosophila Melanogaster ◽  
Acetylcholine Receptor ◽  
Optic Lobe ◽  
Cdna Probe ◽  
Amino Acid Sequence Homology ◽  
Gene Encoding ◽  
Salivary Gland Polytene Chromosome ◽  
The Central Nervous System

We isolated Drosophila melanogaster genomic sequences with nucleotide and amino acid sequence homology to subunits of vertebrate acetylcholine receptor by hybridization with a Torpedo acetylcholine receptor subunit cDNA probe. Five introns are present in the portion of the Drosophila gene encoding the unprocessed protein and are positionally conserved relative to the human acetylcholine receptor alpha-subunit gene. The Drosophila genomic clone hybridized to salivary gland polytene chromosome 3L within region 64B and was termed AChR64B. A 3-kilobase poly(A)-containing transcript complementary to the AChR64B clone was readily detectable by RNA blot hybridizations during midembryogenesis, during metamorphosis, and in newly enclosed adults. AChR64B transcripts were localized to the cellular regions of the central nervous system during embryonic, larval, pupal, and adult stages of development. During metamorphosis, a temporal relationship between the morphogenesis of the optic lobe and expression of AChR64B transcripts was observed.

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