David Hughes

Associate Professor of Entomology and Biology

David Hughes

Research Summary

Parasite manipulation of host behavior

Graduate Students

Huck Affiliations

Links

Publication Tags

Parasites Fungi Ants Formicidae Game Theory Brain Infection Learning Metabolites Ant Brazil Ophiocordyceps Muscles Insects Muscle Behavior Control Interaction Disease Detection Cassava Individual Based Model Infectious Diseases Leaves Soil Fungus Disease Diagnosis

Most Recent Papers

Optimal deployment in crowd sensing for plant disease diagnosis in developing countries

A Coletta, N Bartolini, G Maselli, A Kehs, P McCloskey, David Hughes, 2020, IEEE Internet of Things Journal on p. 2327-4662

AntVis: A web-based visual analytics tool for exploring ant movement data

T Hu, H Zheng, C Liang, S Zhu, N Imirzian, Y Zhang, C Wang, David Hughes, D Chen, 2020, Visual Informatics on p. 58-70

Automated tracking and analysis of ant trajectories shows variation in forager exploration

Natalie Imirzian, Yizhe Zhang, Christoph Kurze, Raquel G. Loreto, Danny Z. Chen, David P. Hughes, 2019, Scientific reports

A Dynamic Individual-Based Model for High-Resolution Ant Interactions

Nathan B. Wikle, Ephraim M. Hanks, David P. Hughes, 2019, Journal of Agricultural, Biological, and Environmental Statistics on p. 589-609

Zombie-ant fungi emerged from non-manipulating, beetle-infecting ancestors

João P.M. Araújo, David P. Hughes, 2019, Current Biology on p. 3735-3738.e2

The metabolic alteration and apparent preservation of the zombie ant brain

Raquel G. Loreto, David Peter Hughes, 2019, Journal of Insect Physiology

Dynamic and game theory of infectious disease stigmas

Timothy Reluga, Rachel Annette Smith, David Peter Hughes, 2019, Journal of Theoretical Biology on p. 95-107

Specialist and generalist fungal parasites induce distinct biochemical changes in the mandible muscles of their host

Shanshan Zheng, Raquel Loreto, Philip Smith, Andrew Patterson, David Hughes, Liande Wang, 2019, International journal of molecular sciences

Ant colonies maintain social homeostasis in the face of decreased density

Andreas P. Modlmeier, Ewan Colman, Ephraim M. Hanks, Ryan Bringenberg, Shweta Bansal, David P. Hughes, 2019, eLife

A mobile-based deep learning model for cassava disease diagnosis

Amanda Ramcharan, Peter McCloskey, Kelsee Baranowski, Neema Mbilinyi, Latifa Mrisho, Mathias Ndalahwa, James Legg, David P. Hughes, 2019, Frontiers in Plant Science

Most-Cited Papers

Using deep learning for image-based plant disease detection

Sharada P. Mohanty, David P. Hughes, Marcel Salathé, 2016, Frontiers in Plant Science

Behavioral mechanisms and morphological symptoms of zombie ants dying from fungal infection

David P. Hughes, Sandra B. Andersen, Nigel L. Hywel-Jones, Winanda Himaman, Johan Billen, Jacobus J. Boomsma, 2011, BMC Ecology

Phylogenetic-based nomenclatural proposals for Ophiocordycipitaceae (Hypocreales) with new combinations in Tolypocladium

C. Alisha Quandt, Ryan M. Kepler, Walter Gams, João P.M. Araújo, Sayaka Ban, Harry C. Evans, David Hughes, Richard Humber, Nigel Hywel-Jones, Zengzhi Li, J. Jennifer Luangsa-ard, Stephen A. Rehner, Tatiana Sanjuan, Hiroki Sato, Bhushan Shrestha, Gi Ho Sung, Yi Jian Yao, Rasoul Zare, Joseph W. Spatafora, 2014, IMA Fungus on p. 121-134

Fungal Planet description sheets

Pedro W. Crous, Michael J. Wingfield, Treena I. Burgess, G. E.St J. Hardy, Colin Crane, Sarah Barrett, José F. Cano-Lira, Johannes J. Le Roux, Raja Thangavel, Josep Guarro, Alberto M. Stchigel, María P. Martín, Donis S. Alfredo, Paul A. Barber, Robert W. Barreto, Iuri G. Baseia, Julia Cano-Canals, Ratchadawan Cheewangkoon, Renato J. Ferreira, Josepa Gené, Christian Lechat, Gabriel Moreno, Francois Roets, Roger G. Shivas, Julieth O. Sousa, Yu Pei Tan, Nathan P. Wiederhold, Sandra E. Abell, Thiago Accioly, José Luis Albizu, Janaina L. Alves, Zaida Inês Antoniolli, Nick Aplin, João Araújo, Mahdi Arzanlou, Jadson D.P. Bezerra, Jean Philippe Bouchara, Juan Ramón Carlavilla, Aurelio Castillo, Vanina L. Castroagudín, Paulo C. Ceresini, Gordon F. Claridge, Gilberto Coelho, Victor R.M. Coimbra, L. A. Costa, Keith C. da Cunha, Silvana S. da Silva, Rosalie Daniel, Z. Wilhelm de Beer, Margarita Dueñas, Jacqueline Edwards, P. Enwistle, Patrícia O. Fiuza, Jacques Fournier, Dania García, Tatiana B. Gibertoni, Sandrine Giraud, Marcela Guevara-Suarez, Luís F.P. Gusmão, Sukanya Haituk, Michel Heykoop, Yuuri Hirooka, Tina Antje Hofmann, Jos Houbraken, David P. Hughes, Ivona Kautmanová, Olga Koppel, Ondřej Koukol, Ellen Larsson, K. P.Deepna Latha, Dong Hyeon Lee, Daniela O. Lisboa, Willyane S. Lisboa, Ángela López-Villalba, João L.N. Maciel, Patinjareveettil Manimohan, José Luis Manjón, Seonju Marincowitz, Thomas S. Marney, Martin Meijer, Andrew N. Miller, Ibai Olariaga, Laura M. Paiva, Meike Piepenbring, Juan Carlos Poveda-Molero, K. N.Anil Raj, Huzefa A. Raja, Amandine Rougeron, Isabel Salcedo, Rosita Samadi, Tiago A.B. Santos, Kelly Scarlett, Keith A. Seifert, Lucas Shuttleworth, Gladstone A. Silva, Meiriele Silva, João Paulo Zen Siqueira, Cristina M. Souza-Motta, Steven L. Stephenson, Deanna A. Sutton, Nisachon Tamakeaw, M. Teresa Telleria, Nicomedes Valenzuela-Lopez, Altus Viljoen, Cobus M. Visagie, Alfredo Vizzini, Felipe Wartchow, Brenda D. Wingfield, Eugene Yurchenko, Juan Carlos Zamora, Johannes Z. Groenewald, 2016, Persoonia: Molecular Phylogeny and Evolution of Fungi on p. 218-403

Hidden diversity behind the zombie-ant fungus ophiocordyceps unilateralis

Harry C. Evans, Simon L. Elliot, David P. Hughes, 2011, PloS one

Species-specific ant brain manipulation by a specialized fungal parasite

Charissa De Bekker, Lauren E. Quevillon, Philip B. Smith, Kimberly R. Fleming, Debashis Ghosh, Andrew David Patterson, David Peter Hughes, 2014, BMC Evolutionary Biology

Gene expression during zombie ant biting behavior reflects the complexity underlying fungal parasitic behavioral manipulation

Charissa de Bekker, Robin A. Ohm, Raquel G. Loreto, Aswathy Sebastian, Istvan Albert, Martha Merrow, Andreas Brachmann, David P. Hughes, 2015, BMC genomics

Ancient death-grip leaf scars reveal ant-fungal parasitism

David P. Hughes, Torsten Wappler, Conrad C. Labandeira, 2011, Biology Letters on p. 67-70

Deep learning for image-based cassava disease detection

Amanda Ramcharan, Kelsee Baranowski, Peter McCloskey, Babuali Ahmed, James Legg, David P. Hughes, 2017, Frontiers in Plant Science

Disease dynamics in a specialized parasite of ant societies

Sandra B. Andersen, Matthew Joseph Ferrari, Harry C. Evans, Simon L. Elliot, Jacobus J. Boomsma, David Peter Hughes, 2012, PloS one

News Articles Featuring David Hughes

Grant to enable creation of AI tools to improve adolescents' diets and nutrition

With a $1.2 million grant from Fondation Botnar, an international team of researchers will assess the feasibility of creating and launching a global-scale artificial-intelligence (AI) app for mobile devices that diagnoses diet-related problems and offers nutritional advice to adolescent girls living in urban settings in Ghana and Vietnam.

The Last of Us 2: The Real Science that Inspired the Zombie Fungus

A fungus that slowly moves through the body with the goal of subjugating the brain sounds like something you might see in a video game. That’s because it is: Cordyceps Brain Infection (CBI) has overtaken the planet in The Last of Us (and The Last of Us Part 2). But the fungus that inspired the game really exists — and it’s just as gnarly in real life.

Extreme locust plague shown swarming Kenya in new video

A biologist at Penn State University, David Hughes, posted footage of locusts swarming over Kenya on Saturday. Hughes is working with the Food and Agriculture Organization of the United Nations (UN FAO) to research the growing locust plagues in Kenya — which the U.N. says could be the worst in 70 years.

Penn State responds: App aids UN efforts to control Africa's locust infestation

A partnership with the UN enables Penn State researchers to rapidly respond to the locust crisis with an artificial intelligence tool that tracks the insects’ spread.

Grant will support expanded use of artificial intelligence for crop health

A research team developing artificial-intelligence-based solutions for diagnosing and managing threats to crop health has received a grant to expand the technology to assist more smallholder farmers around the world.