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July 2022

In the face of severe environmental crises that threaten insect biodiversity, new technologies are imperative to monitor both the identity and ecology of insect species. Traditionally, insect surveys rely on manual collection of traps, which provide abundance data but mask the large intra- and inter-day variations in insect activity, an important facet of their ecology. Although laboratory studies have shown that circadian processes are central to insects' biological functions, from feeding to reproduction, we lack the high-frequency monitoring tools to study insect circadian biology in the field. To address these issues, Geissmann et al. developed the Sticky Pi, a novel, autonomous, open-source, insect trap that acquires images of sticky cards every 20 minutes. Using custom deep learning algorithms, Sticky Pi automatically and accurately scored where, when, and which insects were captured. The automatic identification and high sampling rate of this tool provide biologists with unique data with the potential to impact research far beyond chronobiology, with applications to biodiversity monitoring and pest control as well as fundamental implications for phenology, behavioural ecology, and ecophysiology. The Sticky Pi project was released as an open community resource on https://doc.sticky-pi.com. The image shows Sticky Pi in a strawberry field at the University of British Columbia farm.

Image Credit: Quentin Geissmann

Editorial

Mendel’s legacy in modern genetics

Joanna Clarke, on behalf of the PLOS Biology Staff Editors

Consensus View

Recommendations for empowering early career researchers to improve research culture and practice

Brianne A. Kent, Constance Holman, Emmanuella Amoako, Alberto Antonietti, James M. Azam, Hanne Ballhausen, Yaw Bediako, Anat M. Belasen, Clarissa F. D. Carneiro, Yen-Chung Chen, Ewoud B. Compeer, Chelsea A. C. Connor, Sophia Crüwell, Humberto Debat, Emma Dorris, Hedyeh Ebrahimi, Jeffrey C. Erlich, Florencia Fernández-Chiappe, Felix Fischer, Małgorzata Anna Gazda, Toivo Glatz, Peter Grabitz, Verena Heise, David G. Kent, Hung Lo, Gary McDowell, Devang Mehta, Wolf-Julian Neumann, Kleber Neves, Mark Patterson, Naomi C. Penfold, Sophie K. Piper, Iratxe Puebla, Peter K. Quashie, Carolina Paz Quezada, Julia L. Riley, Jessica L. Rohmann, Shyam Saladi, Benjamin Schwessinger, Bob Siegerink, Paulina Stehlik, Alexandra Tzilivaki, Kate D. L. Umbers, Aalok Varma, Kaivalya Walavalkar, Charlotte M. de Winde, Cecilia Zaza, Tracey L. Weissgerber

Primers

Research Articles

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Short Reports

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Methods and Resources

Sticky Pi is a high-frequency smart trap that enables the study of insect circadian activity under natural conditions

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Discovery Reports

Critically ill COVID-19 patients with neutralizing autoantibodies against type I interferons have increased risk of herpesvirus disease

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