Using AI to prevent the insect apocalypse: toward new environmental risk assessment procedures DOI Creative Commons
Lautaro Gándara, Amy Foreman, Justin Crocker

и другие.

Current Opinion in Insect Science, Год журнала: 2024, Номер 68, С. 101324 - 101324

Опубликована: Дек. 27, 2024

Insect populations are declining globally, with multiple potential drivers identified. However, experimental data needed to understand their relative contributions. We highlight the sublethal effects of pesticides at field-relevant concentrations, often overlooked in standard environmental risk assessments (ERA), as significant contributors these declines. Behavior, an easily monitored high-level phenotype, reflects alterations various phenotypic levels. propose incorporating behavioral assays AI-based analytical methods into ERA protocols better assess safety molecules intended for large-scale field use. This approach aims safeguard food supplies and protect vital ecosystems future.

Язык: Английский

A materials-science perspective on tackling COVID-19 DOI Creative Commons
Zhongmin Tang, Na Kong, Xingcai Zhang

и другие.

Nature Reviews Materials, Год журнала: 2020, Номер 5(11), С. 847 - 860

Опубликована: Окт. 14, 2020

The ongoing SARS-CoV-2 pandemic highlights the importance of materials science in providing tools and technologies for antiviral research treatment development. In this Review, we discuss previous efforts developing imaging systems microfluidic devices in-depth real-time investigation viral structures transmission, as well material platforms detection viruses delivery drugs vaccines. We highlight contribution to manufacturing personal protective equipment design simple, accurate low-cost virus-detection devices. then investigate future possibilities development, examining role antiviral-drug design, including synthetic organoids organs-on-a-chip, drug vaccination, production medical equipment. Materials-science-based not only contribute but can also provide understanding, protection, diseases. Materials provides protection against infections, diagnosis, prevention This Review discusses present directions materials-science research, with a focus on COVID-19.

Язык: Английский

Процитировано

277

Broad‐scale applications of the Raspberry Pi: A review and guide for biologists DOI Creative Commons
Jolle W. Jolles

Methods in Ecology and Evolution, Год журнала: 2021, Номер 12(9), С. 1562 - 1579

Опубликована: Июнь 23, 2021

Abstract The field of biology has seen tremendous technological progress in recent years, fuelled by the exponential growth processing power and high‐level computing, rise global information sharing. Low‐cost single‐board computers are predicted to be one key advancements further revolutionise this field. So far, an overview current uptake these devices a general guide help researchers integrate them their work been missing. In paper I focus on most widely used computer, Raspberry Pi, review its broad applications uses across biological domain. Since release 2012, Pi increasingly taken up biologists, laboratory, classroom, wide range disciplines. A hugely diverse exists that ranges from simple solutions dedicated custom‐build devices, including nest‐box monitoring, wildlife camera trapping, high‐throughput behavioural recording, large‐scale plant phenotyping, underwater video surveillance, closed‐loop operant learning experiments autonomous ecosystem monitoring. Despite breadth implementations, depth scientific community is still limited. capabilities combined with low cost, ease use large user make it great research tool for almost any project. To accelerate community, provide detailed guidelines, recommendations considerations, 30+ step‐by‐step guides accompanying website ( http://raspberrypi‐guide.github.io ). hope will generate more awareness about among scientists thereby both fuel democratisation science ultimately advance our understanding biology, micro‐ macro‐scale.

Язык: Английский

Процитировано

157

Sensory Discrimination of Blood and Floral Nectar by Aedes aegypti Mosquitoes DOI Creative Commons
Veronica Jové, Zhongyan Gong, Felix J.H. Hol

и другие.

Neuron, Год журнала: 2020, Номер 108(6), С. 1163 - 1180.e12

Опубликована: Окт. 12, 2020

Язык: Английский

Процитировано

80

Dengue virus infection modifies mosquito blood-feeding behavior to increase transmission to the host DOI Creative Commons
Benjamin Wong Wei Xiang, Wilfried A. A. Saron, James Stewart

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2022, Номер 119(3)

Опубликована: Янв. 10, 2022

Significance Because dengue viruses are spread by mosquitoes during biting, transmission capacity depends on mosquito-biting behavior. For this reason, it is critical to understand how infection in influences biting. To answer question, we deployed a multidisciplinary approach including high-resolution, multivariate biting behavior monitoring mice, vivo assay, and mathematical modeling. We demonstrated that infected more attracted mice bite often get the same amount of blood as uninfected mosquitoes. While effect increased attraction host trivial, showed number bites results successive transmission. Eventually, calculated infection-induced changes tripled

Язык: Английский

Процитировано

44

Influence of the SARS-CoV-2 pandemic: a review from the climate change perspective DOI
Kingsley Eghonghon Ukhurebor, Kshitij RB Singh, Vanya Nayak

и другие.

Environmental Science Processes & Impacts, Год журнала: 2021, Номер 23(8), С. 1060 - 1078

Опубликована: Янв. 1, 2021

This perspective article reports the possible relationships between climate change and SARS-CoV-2/COVID-19 pandemic vice versa .

Язык: Английский

Процитировано

45

Arbovirus impact on mosquito behavior: the jury is still out DOI Creative Commons
Théo Maire, Louis Lambrechts, Felix J.H. Hol

и другие.

Trends in Parasitology, Год журнала: 2024, Номер 40(4), С. 292 - 301

Опубликована: Фев. 28, 2024

Язык: Английский

Процитировано

7

Neurogenetic identification of mosquito sensory neurons DOI Creative Commons
Joanna K. Konopka, Darya Task, Danny Poinapen

и другие.

iScience, Год журнала: 2023, Номер 26(5), С. 106690 - 106690

Опубликована: Апрель 19, 2023

Anopheles mosquitoes, as vectors for the malaria parasite, are a global threat to human health. To find and bite human, they utilize neurons within their sensory appendages. However, identity quantification of appendage lacking. Here we use neurogenetic approach label all in coluzzii mosquitoes. We homology assisted CRISPR knock-in (HACK) generate T2A-QF2w synaptic gene bruchpilot. membrane-targeted GFP reporter visualize brain quantify major chemosensory appendages (antenna, maxillary palp, labella, tarsi, ovipositor). By comparing labeling brp>GFP Orco>GFP predict extent expressing ionotropic receptors (IRs) or other receptors. This work introduces valuable genetic tool functional analysis mosquito neurobiology initiates characterization that guide behavior.

Язык: Английский

Процитировано

13

Artificial Feeding Systems for Vector-Borne Disease Studies DOI Creative Commons
Olayinka M. Olajiga, Samuel B. Jameson, Brendan H. Carter

и другие.

Biology, Год журнала: 2024, Номер 13(3), С. 188 - 188

Опубликована: Март 15, 2024

This review examines the advancements and methodologies of artificial feeding systems for study vector-borne diseases, offering a critical assessment their development, advantages, limitations relative to traditional live host models. It underscores ethical considerations practical benefits such systems, including minimizing use animals enhancing experimental consistency. Various techniques are detailed, membrane feeding, capillary utilization engineered biocompatible materials, with respective applications, efficacy, challenges encountered also being outlined. forecasts integration cutting-edge technologies like biomimicry, microfluidics, nanotechnology, intelligence refine expand capabilities systems. These innovations aim more accurately simulate natural conditions, thereby improving reliability studies on transmission dynamics diseases. comprehensive serves as foundational reference researchers in field, proposing forward-looking perspective potential revolutionize disease research.

Язык: Английский

Процитировано

4

Broad-scale Applications of the Raspberry Pi: A Review and Guide for Biologists DOI
Jolle W. Jolles

Опубликована: Апрель 12, 2021

The field of biology has seen tremendous technological progress in recent years, fuelled by the exponential growth processing power and high-level computing, rise global information sharing.Low-cost single-board computers are predicted to be one key advancements further revolutionise this field.2. So far, an overview current uptake these devices a general guide help researchers integrate them their work been missing.In paper I focus on most widely used computer, Raspberry Pi, review its broad applications uses across biological domain.3. Since release 2012, Pi increasingly taken up biologists, laboratory, classroom, wide range disciplines.A hugely diverse exists that ranges from simple solutions dedicated custom-build devices, including nest-box monitoring, wildlife camera trapping, high-throughput behavioural recording, large-scale plant phenotyping, underwater video surveillance, closed-loop operant learning experiments autonomous ecosystem monitoring.Despite breadth implementations, depth scientific community is still limited.4. capabilities combined with low cost, ease use large user make it great research tool for almost any project.To accelerate community, provide detailed guidelines, recommendations considerations, 30+ step-by-step guides accompanying website (http://raspb erryp i-guide.github.io).I hope will generate more awareness about among scientists thereby both fuel democratisation science ultimately advance our understanding biology, micro-to macro-scale.

Язык: Английский

Процитировано

22

An overview of technologies available to monitor behaviours of mosquitoes DOI Creative Commons
Nouman Javed, Prasad N. Paradkar, Asim Bhatti

и другие.

Acta Tropica, Год журнала: 2024, Номер 258, С. 107347 - 107347

Опубликована: Авг. 3, 2024

Mosquito-borne diseases such as malaria, dengue, Zika, and chikungunya cause significant morbidity mortality globally, resulting in over 600,000 deaths from malaria around 36,000 dengue each year, with millions of people infected annually, leading to substantial economic losses. The existing mosquito control measures, long-lasting insecticidal nets (LLINs) indoor residual spraying (IRS), helped reduce the infections. However, mosquito-borne are still among deadliest diseases, forcing us improve methods look for alternative simultaneously. Advanced monitoring techniques, including remote sensing, geographic information systems (GIS) have significantly enhanced efficiency effectiveness measures. Mosquitoes' behavioural traits, locomotion, blood-feeding, fertility key determinants disease transmission epidemiology. Technological advancements, high-resolution cameras, infrared imaging, artificial intelligence (AI) driven object detection models, groundbreaking convolutional neural networks, provided efficient precise options monitor various behaviours, oviposition, fertility, host-seeking. they not commonly employed mosquito-based research. This review highlights novel advancements behaviour-monitoring tools, mostly last decade, due cutting-edge video technology intelligence. These can offer accuracy, efficiency, ability quickly process large volumes data, enabling detailed analysis extended periods sample sizes, unlike traditional manual prone human error labour-intensive. use behaviour-assaying techniques support or replace directly contribute improving measures by providing more accurate real-time data on activity patterns responses interventions. understanding help establish role changes epidemiological making them dynamic. As a result, management strategies become adaptive responsive, effective targeted Ultimately, this will public health outcomes.

Язык: Английский

Процитировано

3