2013
DOI: 10.1186/1687-5281-2013-61
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Automated quantification of the schooling behaviour of sticklebacks

Abstract: Sticklebacks have long been used as model organisms in behavioural biology. An important anti-predator behaviour in sticklebacks is schooling. We plan to use quantitative trait locus mapping to identify the genetic basis for differences in schooling behaviour between marine and benthic sticklebacks. To do this, we need to quantify the schooling behaviour of thousands of fish. We have developed a robust high-throughput video analysis method that allows us to screen a few thousand individuals automatically. We p… Show more

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Cited by 6 publications
(3 citation statements)
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“…The school-only trials were scored by the use of two methods. The time spent with the school, defined by a fish swimming within one body length of the school ( Wark et al 2011 ), was determined with custom-designed tracking software ( Ardekani et al 2013 ). The latency to approach the school was determined manually by recording the frame number at which fish first joined the school.…”
Section: Methodsmentioning
confidence: 99%
“…The school-only trials were scored by the use of two methods. The time spent with the school, defined by a fish swimming within one body length of the school ( Wark et al 2011 ), was determined with custom-designed tracking software ( Ardekani et al 2013 ). The latency to approach the school was determined manually by recording the frame number at which fish first joined the school.…”
Section: Methodsmentioning
confidence: 99%
“…Indeed, there are already hundreds of previously identified candidate genes for social behavior waiting to be characterized [21][22][23][24][25][26][27]. Sticklebacks enjoy well-established behavioral assays [28,29] that are amenable to automation [15,30].…”
Section: Introductionmentioning
confidence: 99%
“…In addition to having a fully sequenced genome, they have been used in comparative cross-taxa studies looking for a conservation in the molecular underpinnings of social behavior (Rittschof et al 2014; Saul et al 2019) with both emerging and classic model systems. Indeed, there are already hundreds of previously identified candidate genes for social behavior waiting to be characterized (Sanogo et al 2011; Laine et al 2012; Greenwood et al 2013; Mommer & Bell 2014; Greenwood & Peichel 2015; Bell et al 2016; Bukhari et al 2017) and well-established behavioral assays (van Iersel 1953; Rowland 1982) that are amenable to automation (Ardekani et al 2013; Norton & Gutiérrez 2019).…”
Section: Introductionmentioning
confidence: 99%