A novel behavioral strategy, continuous biased running, during chemotaxis in Drosophila larvae

Ohashi, Shumpei; Morimoto, Takako; Miyakawa, Hiroyoshi; Aonishi, Toru

doi:10.1016/j.neulet.2014.04.011

Cited by 15 publications

(12 citation statements)

References 21 publications

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“…We take this continuous oscillation to be the underlying basis for larval behaviours that are often treated as distinct states triggered by dedicated sensory motor processes (see Green et al, 1983; Sawin et al, 1994; Cobb, 1999; Vogelstein et al, 2014; Ohashi et al, 2014; Gomez-Marin and Louis, 2012, 2014; Hernandez-Nunez et al, 2015; Gepner et al, 2015). That is, we suggest running/weathervaning and casting/turning all result from the same underlying and continuously active oscillatory mechanism (Figure 9C,D), and that taxis involves continuous and direct sensory modulation of the oscillation amplitude.…”

Section: Discussionmentioning

confidence: 99%

“…This mechanism makes predictions that differ from taxis arising from the alternation of discrete-action motor programs (Gomez-Marin et al, 2011; Gomez-Marin and Louis, 2014; Kane et al, 2013), as implemented in alternative state-based models (Davies et al, 2015; Schleyer et al, 2015b; Ohashi et al, 2014). …”

Section: Discussionmentioning

confidence: 99%

“…These models typically assume the expression of taxis consists of multiple behavioural states with state transitions that are biased by sensory stimuli. In Davies et al (2015); a model closely based on the behavioural analyses in Lahiri et al (2011); Gomez-Marin and Louis (2014); Gomez-Marin et al (2011); Ohashi et al (2014) reproduces many characteristics of larval chemotaxis by combining three mechanisms: biased forward runs (weathervaning), increased probability to stop runs when odour concentration decreases (klinokinesis), and increased probability to resume running when a head cast is in a direction that increases the experienced odour concentration (klinotaxis). Each contributes to the improvement of odour taxis performance, and in theory, each could be individually modulated by sensory stimuli characteristics, context, other stimuli, or learning, in a manner that modifies the observed odour preferences.…”

Section: Introductionmentioning

confidence: 99%

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Continuous lateral oscillations as a core mechanism for taxis in Drosophila larvae

Wystrach

Lagogiannis

Webb

2016

eLife

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Taxis behaviour in Drosophila larva is thought to consist of distinct control mechanisms triggering specific actions. Here, we support a simpler hypothesis: that taxis results from direct sensory modulation of continuous lateral oscillations of the anterior body, sparing the need for ‘action selection’. Our analysis of larvae motion reveals a rhythmic, continuous lateral oscillation of the anterior body, encompassing all head-sweeps, small or large, without breaking the oscillatory rhythm. Further, we show that an agent-model that embeds this hypothesis reproduces a surprising number of taxis signatures observed in larvae. Also, by coupling the sensory input to a neural oscillator in continuous time, we show that the mechanism is robust and biologically plausible. The mechanism provides a simple architecture for combining information across modalities, and explaining how learnt associations modulate taxis. We discuss the results in the light of larval neural circuitry and make testable predictions.DOI: http://dx.doi.org/10.7554/eLife.15504.001

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Continuous lateral oscillations as a core mechanism for taxis in Drosophila larvae

Wystrach

Lagogiannis

Webb

2016

eLife

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“…A similar behaviour, based on biased running (i.e. very sinuous trajectories), is observed during chemotaxis in Drosophila larvae (Gomez‐Marin et al ., ; Gomez‐Marin & Louis, ; Ohashi et al ., ). This strategy is confirmed by regarding the branching tree‐like path of L. sericata larvae during an environment exploration (Fig.…”

Section: Discussionmentioning

confidence: 81%

A first insight into the scanning behaviour of the presocial blow fly larvae

et al. 2015

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Aggregation of necrophagous larvae has several benefits: the sharing of salivary enzymes (exodigestion), temperature regulation, protection from predators and parasites, etc., and is well developed in blow flies (Diptera: Calliphoridae). The present study focuses on the aggregation mechanism used by the necrophagous larvae of Lucilia sericata Meigen, the common green bottle fly. The ability of single larva to detect and follow a signal (trail) created by conspecifics is investigated initially. A circular ring is drawn in a Petri dish where 20 starved larvae have crawled for a period of 30 min. A naïve (test) larva is then placed in the dish and video-tracked. Naïve larvae are able to detect the boundaries of the larvae-crawled area and stay preferentially within this conspecific-marked zone. In a second step, the orientation of larvae by scanning, a dedicated, ground-signal detection behaviour of dipteran larvae, is analyzed. Four experimental conditions are tested: control, presence of food, conspecifics, and food + conspecifics. When conspecifics have been previously present in a given area, the scanning behaviour by naïve larvae in this area decreases (both in number and frequency of scans). Accordingly, scanning by necrophagous larvae of L. sericata should be considered not only as locomotion behaviour, but also as a potential way to detect signals from conspecifics for the purpose of aggregation. The chemical composition of the attractant(s), the behavioural effects (attraction or retention) and the implication of larval signalling in the aggregation process are new fields to explore.

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“…Indeed, much of our understanding in the fundamental logic of taxis has been achieved by studying organisms such as Escherichia coli, Caenorhabditis elegans or larvae of the fruit fly Drosophila melanogaster (1, 2). Navigation in Drosophila larvae has been assessed in response to different types of single sensory inputs including vision (3, 4), olfaction (5, 6, 7, 8) and thermosensation (9, 10, 11) and a combination of inputs to study multisensory integration (12, 13).…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of navigational decisions based on intensity versus directionality in Drosophila larval phototaxis

Andres-Bragado

Mazza

Senn

et al. 2018

Preprint

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1Organisms use environmental cues for directed navigation. Depending on the system. Due to the comparably simple organization of the nervous system of 2 6the fruit fly larva, it stands as a powerful model to study decision-making 2 7processes that underlie directed navigation. Here, we formulate a stochastic negative phototaxis. We have quantitatively measured phototaxis in response to 3 0 defined sensory inputs. We find that larvae make navigational decisions by 3 1 taking into account both light intensities and its spatial gradients, and our model 3 2 allows us to quantify how larvae minimize their exposure to light intensity and at 3 3

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A novel behavioral strategy, continuous biased running, during chemotaxis in Drosophila larvae

Cited by 15 publications

References 21 publications

Continuous lateral oscillations as a core mechanism for taxis in Drosophila larvae

Continuous lateral oscillations as a core mechanism for taxis in Drosophila larvae

A first insight into the scanning behaviour of the presocial blow fly larvae

Mathematical modeling of navigational decisions based on intensity versus directionality in Drosophila larval phototaxis

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