Feasibility of visual signals on the construction of biosensors based on behavioral analysis of Perna perna mussels

Guterres, Bruna; Guerreiro, Amanda da Silveira; Sandrini, Juliana Zomer; Botelho, Sílvia Silva da Costa

doi:10.1016/j.ecoinf.2020.101118

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…The use of open-source components in valvometric research is underreported in the literature. Only a small subset of publications have reported the use of Arduino as a valvometric tool [ 7 , 14 , 48 ], and we could find no mention of Raspberry Pi being used in relation to valvometry.…”

Section: Discussionmentioning

confidence: 90%

“…Researchers have long understood their potential as reef biomonitors, through the geochemical signals encoded in their shells [ 1 ], their absorption of microplastics and other contaminants [ 2 ], and in recent years, through valvometric analysis of their behavior [ 3 , 4 ]. Valvometry is the study of bivalve shell opening and closing through proximity sensors such as electrodes [ 5 ], Hall effect magnetic sensors [ 6 ], machine-learning analysis of video [ 7 ], and accelerometers [ 8 ]. The technique has been applied to a growing assemblage of bivalve taxa to quantify and monitor their behavior through a high-frequency, non-invasive approach [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Giant clams as open-source, scalable reef environmental biomonitors

et al. 2023

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Valvometry, the electronic measurement of bivalve shell opening and closing, has been demonstrated to be a valuable biomonitoring technique in previous ecological and environmental studies. Valvometric data has been shown to relate significantly to pollution, predation, animal stress and feeding activity. However, there is a need for valvometric techniques applicable to coral reef environments, which may provide critical insights into reef resilience to ocean warming and acidification. Giant clams are endemic to coral reefs and hold great promise as valvometric recorders of light availability, productivity and other environmental variables. Despite this promise, prior valvometric work on giant clams has been limited by specialized hardware less accessible to developing countries where many coral reefs are found. Here we report on an open-source approach that uses off-the-shelf components to monitor smooth giant clam (Tridacna derasa) valve opening behavior, and tests this approach in the simulated reef environment of the Biosphere 2 Ocean. Valvometric data corroborates the influence of light availability on diurnal behavior of giant clams. The clams basked during daylight hours to expose their photosymbionts to light, and adopted a partially-closed defensive posture at night. The animals showed variations in the frequency of complete closures, with most occurring during night-time hours when the animals prioritize filter-feeding activity, clapping their valves to expel pseudofeces from their gills. Closure frequency showed a significant relation to pH and a significant lagged relationship to chlorophyll-a productivity, which are both a function of algal productivity in the Biosphere 2 Ocean tank. These results suggest that the animals fed on phytoplankton following periodic bloom events in the Biosphere 2 Ocean during the experiment. We propose that giant clams exhibit behavioral plasticity between individuals and populations, and advocate for the more widespread use of valvometry to enable comparative studies of reef environment and animal health.

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Section: Discussionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Giant clams as open-source, scalable reef environmental biomonitors

et al. 2023

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“…Several monitoring and early warning systems, based on valvometry measurements, have been described in the literature (e.g., [8,23,[45][46][47][48][49], see also Table A2); additionally, a few systems have been commercialized (Table A1). The system that we proposed in this study is, to the best of our knowledge, the first to be built on a biophysical model of the adductor muscle dynamics.…”

Section: A System Based On Quantification Of the Valve Gape Dynamicsmentioning

confidence: 99%

Designing the Next Generation of Condition Tracking and Early Warning Systems for Shellfish Aquaculture

Guarini¹,

Hinz²,

Coston‐Guarini³

2021

JMSE

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Early detection of environmental disturbances affecting shellfish stock condition is highly desirable for aquaculture activities. In this article, a new biophysical model-based early warning system (EWS) is described, that assesses bivalve stock condition by diagnosing signs of persistent physiological dysfunctioning. The biophysical model represents valve gape dynamics, controlled by active contractions of the adductor muscle countering the passive action of the hinge ligament; the dynamics combine continuous convergence to a steady-state interspersed with discrete closing events. A null simulation was introduced to describe undisturbed conditions. The diagnostic compares valve gape measurements and simulations. Indicators are inferred from the model parameters, and disturbances are assessed when their estimates deviate from their null distribution. Instead of focusing only on discrete events, our EWS exploits the complete observed dynamics within successive time intervals defined by the variation scales. When applied to a valvometry data series, collected in controlled conditions from scallops (Pecten maximus), the EWS indicated that one among four individuals exhibited signs its physiological condition was degrading. This was detected neither during experiments nor during the initial data analysis, suggesting the utility of an approach that quantifies physiological mechanisms underlying functional responses. Practical implementations of biological-EWS at farming sites are then discussed.

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