Flies disguised as wasps can't fool birds
The quality of hoverfly mimicry can vary– from detailed disguises to the insect equivalent of slapping on a pair of cat ears for a Halloween party. Evolutionary biologists have long questioned why it is that some hoverflies bother with such inaccurate impersonations, and why poor mimicry persists in populations.
New research offers a possible explanation. Even questionable copycats can trip up certain predators like spiders and praying mantises, according to a study published July 2 in the journal Nature. In contrast, other predators are tougher to trick. Using unconventional methods, the researchers showed just how good birds are at distinguishing wasp mimics from the real sting, and what particular traits make the difference.
The team created intricate, 3D printed models of hypothetical insect chimeras to explore the whole range from 100 percent wasp to fully fly. Across four experiments with wild birds, domestic chicks, and invertebrates, they observed how different potential predators responded to a variety of artificial mimics.
It's 'a novel way to ask questions that have been discussed in the literature a lot, but not very rigorously tested,' Tom Sherratt, an evolutionary ecologist at Carleton University in Ottawa, tells Popular Science. Sherratt wasn't involved in the study, but co-wrote an accompanying News & Views piece about the research. 'I thought it was a really nice paper,' he says, 'they had a great idea for these 3D printed insects.'
Most prior research of mimicry uses real insect specimens or crude stimuli, like colored squares, to examine predator response. But those approaches come with limitations. Either the cue is rudimentary and it's difficult to evaluate outcomes, or 'you're restricted to only what's in nature,' Christopher Taylor, lead study author and an evolutionary biologist at the University of Nottingham in England, tells Popular Science. In contrast, 3D printing opened up an entire world of possibilities. Taylor and his colleagues were able to finely tune each of the models used across their experiments with the desired mix of features, and better assess the importance of some changes over others.
They found that great tits (Parus major), a common species of European songbird, have a hyper discerning eye. After a short period of training, the wild birds were able to pick out most of the fake wasps. They could also readily discern between the 'jack of all trade' mimics that mix traits from different targets and models of actual, stinging insects. Taylor and his many co-authors further found that color and size were the most critical aspects of successful mimics, over shape and pattern, in trials with recently hatched domestic chickens. Finally, they discovered that crab spiders and praying mantises are much more easily put off by inaccurate wasp mimics than birds, offering an explanation for why evolution has guided some flies to invest in half measures.
'In some situations, but not all, [poor mimics] persist because they can get away with it. They don't need to be super accurate in all respects in order to fool a predator–with the caveat that it depends on what their main predators are,' explains Taylor.
In other words: If your main threats are other insects or spiders, appearing unappetizing and potentially dangerous is a lower lift. If you're particularly tasty to birds, you'll probably have to try harder.
[ Related: Scientists discover how some flowers mimic the smell of death. ]
To reach that conclusion, the scientists began by conducting 3D scans of real wasps and flies, and then using those digitized insects to construct fake ones. They printed plastic versions of the real insects, fly/wasp hybrid variants ranging from 25 to 75 percent similarity, hybrids between two different species of real wasps, and versions of the wasp/fly chimeras where color, size, shape, or pattern were the focus of the hypothetical mimicry.
In their first experiment, the scientists presented wild great tits with puzzle grids made up of small lidded dishes. On top of each was one of their 3D insect models. Beneath the fly or fly hybrids, the researchers placed a tasty mealworm. Nothing was placed in the wasp containers.. Over weeks of observation, they recorded what order the birds approached containers in. After a short period of teaching the tits that flies advertised a treat while wasps advertised wasted time, the birds readily separated even convincing fly mimics from wasps. The birds significantly favored the fly and fly hybrid boxes over the wasp boxes, according to the findings.
The team also verified that what the birds learned from the figurines would apply to the real thing by running a trial where some of the plastic critters were swapped with pinned, dead insects. They found that the birds associated the real flies with food and the real wasps with less likelihood of reward.
In another experiment, they conducted similar trials, but with 3D models of two different species of wasp and hybrids spanning the gap between both. They found that the birds were easily able to tell the difference between the insect models, and readily learned that the plastic replicas of the true wasps had no food to offer, while the hybrid 'mimics' were worth foraging for.
Then, Taylor and co presented baby chickens with different versions of hypothetical wasp mimics, to tease out which traits were the most important for keeping predators at bay. After food reward training, they timed how long it took for the chicks' to attack or examine the insect models. When the insect models were yellow and black or accurately sized to match a common wasp, the birds delayed pecking for longer. Wasp-like patterns and shapes, on the other hand, were less of a deterrent.
In their invertebrate trials, the team placed jumping spiders, crab spiders, and praying mantises in an arena with a series of 3D printed insects, one at a time, spanning from full fly to true wasp. In the presence of the plastic wasps, the researchers administered a 'punishment' to most of the test subjects by prodding them in the abdomen. With and without training, the mantises and crab spiders showed a significantly different response to the flies than to the wasps, and were much more cautious of lesser intermediate mimics than the birds had been. Jumping spiders, which have better vision than many other invertebrates, were better able to tell hybrids and true wasps apart.
On their own, each of these experiments 'would be good papers,' says Sherratt. 'But the fact that we've got all of them under one roof is what I think really helps make this paper quite interesting and imaginative.'
[ Related: This spider pretends to be an ant, but not well enough to avoid being eaten. ]
Though imaginative, 3D printing does come with limitations. For one, the plastic insect figurines are purely visual cues. They can't replicate the behavior, sound, or chemical aspects of an actual, living hoverfly or wasp, notes Taylor. It's quite possible these less printable features might be part of how predators pick their meals and learn to avoid unpleasant experiences. Then, there's the fact that the birds in the study were trained and tested on a reward/no reward basis. In nature, the risk of picking on a wasp isn't just that you might miss a meal, it's also that you could be hurt, says Sherratt. Under those higher stakes conditions, birds in reality might be less willing to approach wasp mimics than they were in the experiments.
Still, the study is an 'ambitious' foray into a new frontier of biology research, Sherratt says. He imagines scientists using similar methods to explore sexual selection and other forms of mimicry.
Taylor hopes their approach for exploring imagined adaptations allows for clearer answers about why and when species settle into a long-term form.
'It feeds into this larger question about evolution,' he says. 'You see a broad range of adaptations in nature, but how well-adapted does a particular species need to be before it kind of reaches the peak?'.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
an hour ago
- Yahoo
90% radioactive iodine gone: Scientists use AI to crack code on nuclear waste cleanup
Scientists may have finally found a solution to tackle the problem of radioactive iodine, one of nuclear energy's most stubborn threats, thanks to AI. A research team in South Korea has used artificial intelligence to discover a powerful new material that can trap radioactive iodine, specifically isotope I-129, one of the most persistent and dangerous byproducts of nuclear energy that poses serious environmental and health risks. With a half-life of 15.7 million years, I-129 is highly mobile in the environment and notoriously difficult to remove from contaminated water. Developed by researchers from Korea Advanced Institute of Science and Technology (KAIST) in collaboration with the Korea Research Institute of Chemical Technology (KRICT), the breakthrough material belongs to a class called Layered Double Hydroxides (LDHs). These compounds are known for their structural flexibility and ability to trap negatively charged particles like iodate (IO₃⁻), the form radioactive iodine most often takes in aqueous environments. Instead of testing thousands of LDH combinations manually, which would be difficult to search through conventional trial-and-error experiments, the team turned to machine learning to identify optimal iodate adsorbents. Starting with experimental data from 24 binary and 96 ternary compositions, they trained a model to predict the most promising candidates from a vast pool of metal combinations. The team focused on the fact that LDHs, like high-entropy materials, can incorporate a wide range of metal compositions and possess structures favorable for anion adsorption. The AI model guided the researchers to a quinary compound made of copper, chromium, iron, and aluminum, named dubbed Cu₃(CrFeAl). This material showed over 90 percent efficiency in removing iodate from water, outperforming traditional silver-based absorbents, which often fail to trap iodate effectively. Remarkably, the team only needed to test about 16 percent of all possible material combinations to find the optimal one, demonstrating the power of AI in reducing both time and cost in nuclear environmental research. "This study shows the potential of using artificial intelligence to efficiently identify radioactive decontamination materials from a vast pool of new material candidates," said KAIST professor Ho Jin Ryu. 'It is expected to accelerate research for developing new materials for nuclear environmental cleanup.' The research team has filed a domestic patent application for the developed powder technology and is currently proceeding with an international patent application. They are also working to improve the material's stability under real-world conditions. The team is now looking for academic and industrial partnerships to develop iodine-absorbing powders and water filters that can be used in contaminated nuclear sites to trap radioactive iodine. The study was led by Professor Ho Jin Ryu from the Department of Nuclear and Quantum Engineering at KAIST, in collaboration with Dr. Juhwan Noh of the Digital Chemistry Research Center at KRICT. Dr. Sujeong Lee, a graduate of KAIST's Department of Materials Science and Engineering, and Dr. Noh were listed as co-first authors on the paper. The findings were published in the Journal of Hazardous Materials.
Yahoo
an hour ago
- Yahoo
New plasma device turns air into ammonia, ends the need for fossil fuels
Researchers at the University of Sydney have developed a groundbreaking way to produce ammonia using electricity and artificial lightning. The innovation offers a cleaner, decentralized alternative to the Haber-Bosch process, which dominates global ammonia production but leaves a massive carbon footprint. Ammonia, a key ingredient in fertilizers, supports nearly half of global food production. Traditionally, its production requires high heat, high pressure, and fossil fuels, making it one of the most emissions-intensive chemical processes in the world. The Sydney team's approach uses plasma to excite nitrogen and oxygen in the air, then converts those molecules into ammonia gas through a membrane-based electrolyzer. The study outlines how this two-step method avoids several inefficiencies of previous attempts. Most other labs had only managed to produce ammonia in liquid form, ammonium, which requires more processing to become usable gas. The new method bypasses that step. 'In this research we've successfully developed a method that allows air to be converted to ammonia in its gaseous form using electricity,' said Professor PJ Cullen, lead researcher from the University of Sydney's School of Chemical and Biomolecular Engineering. 'A huge step towards our goals.' The development also opens the door to low-cost, scalable, and decentralized production of green ammonia, especially important for rural or off-grid locations. 'For the past decade, the global scientific community, including our lab, has wanted to uncover a more sustainable way to produce ammonia that doesn't rely on fossil fuels,' said Cullen. Ammonia is gaining attention not just in agriculture but also in the energy sector. It contains three hydrogen atoms, making it an efficient way to store and transport hydrogen. Industry bodies are already exploring methods to extract hydrogen from ammonia by 'cracking' the molecules apart. Ammonia's carbon-free profile also makes it a strong contender for future clean fuels. The shipping industry, which is responsible for about 3% of global emissions, is especially interested. Cullen's team has worked on green ammonia technologies for six years. Their new setup centers on the membrane-based electrolyzer, a compact silver box where the final conversion occurs. During the Haber-Bosch process, ammonia is produced by combining nitrogen and hydrogen gases under intense heat and pressure. Cullen's process uses plasma to energize air molecules and pass them through the electrolyzer to create ammonia directly. 'This new approach is a two-step process, namely combining plasma and electrolysis,' Cullen explained. 'We have already made the plasma component viable in terms of energy efficiency and scalability.' However, he added, 'To create a more complete solution to a sustainable ammonia productive, we need to push the energy efficiency of the electrolyzer component.' With ammonia production set to increase globally, this research could redefine how the world approaches one of its most important chemicals. The study is published in the journal Angewandte Chemie International Edition.
Yahoo
4 hours ago
- Yahoo
Breast cancer survivors may have lower risk of developing Alzheimer's disease, study finds
Cancer is not typically associated with health benefits, but a new study suggests that it could reduce the risk of dementia for some patients. A study led by the Seoul National University College of Medicine suggests that breast cancer survivors could have a slightly lower chance of developing Alzheimer's disease compared to those who had not undergone treatment. In the study, which was published in JAMA Network Open, data from more than 70,000 breast cancer survivors were compared to a cancer-free control group for an average of 7.3 years. Fda Approves First Ai Tool To Predict Breast Cancer Risk Overall, the breast cancer survivors — particularly those who were 65 and older — showed an 8% lower risk of dementia within the five years following treatment. Those who received radiation showed the most risk reduction, the researchers found. Read On The Fox News App The study was adjusted for other factors that could have contributed to Alzheimer's risk, including age, income levels, geographic location, body mass index, comorbidities (diabetes, hypertension, high cholesterol and chronic kidney disease) and health-related behaviors (smoking, alcohol consumption and physical activity), the study stated. This outcome conflicts with previous concerns about breast cancer patients experiencing cognitive decline after treatment. Bill Gates Reveals 'Next Phase Of Alzheimer's Fight' As He Shares Dad's Personal Battle Chemotherapy has previously been linked to a condition called "chemo brain," where patients experience cognitive decline. "Chemo brain refers to cognitive dysfunction, including thinking and memory problems, that occur in patients with cancer during and after chemotherapy," the researchers wrote. Rates Of Dementia Are Lower In People Who Eat This Specific Diet, Research Shows This is different from Alzheimer's, however — with "chemo brain," the cognitive impairment is described as "subtle" and doesn't keep the patient from retrieving remote memories. "Concerns about chemo brain and the long-term adverse effects of breast cancer treatment on cognition are common, but our findings suggest that this treatment does not directly lead to AD," the researchers noted. In fact, they stated, some studies have shown that certain drugs given to breast cancer patients can help to reduce the formation of amyloid-beta and tau proteins in the brain, which is one of the hallmarks of Alzheimer's. Based on the findings, the researchers recommend that breast cancer patients take steps to reduce modifiable risk factors for Alzheimer's, such as smoking and diabetes, along with receiving standard cancer treatment. The study did have some limitations, the team acknowledged. Information about patients' breast cancer stage and radiation dose was not available. It is also possible that the number of Alzheimer's diagnoses was underestimated. Also, because the study focused on patients with "operable" breast cancer, it may not represent the risk of Alzheimer's among elderly patients, those with "critical comorbidities" or patients with advanced-stage disease, the researchers noted. "We could not evaluate the long-term increase in AD risk because our follow-up period was relatively short (maximum, 11 years)," they wrote. "Additional studies with long-term observation periods are warranted to examine long-term associations between AD risk and breast cancer survival duration." Maria C. Carrillo, Ph.D., Alzheimer's Association chief science officer and medical affairs lead in Chicago, pointed out that this topic of research has been explored in previous studies. "There have been many published reports from observational studies of cancer survivors with decreased risk of Alzheimer's disease, but also some that found increased risk," Carrillo, who was not involved in this most recent study, told Fox News Digital. Click Here To Sign Up For Our Health Newsletter The expert cautions against drawing "abrupt conclusions" based on this study. "Previous research on cancer survival and treatment and Alzheimer's risk, much of it cited by the authors of this article, has produced mixed — even contradictory — results," Carrollio said. "More research is needed — especially longer studies in more representative study populations." The most interesting aspect of this study, Carrillo said, is the finding that radiation therapy was associated with 23% Alzheimer's risk reduction, while other cancer treatments showed no risk reduction. This could be due to radiation's capability to lower inflammation levels, the expert suggested. For more Health articles, visit "Lowering inflammation in the body and brain can reduce amyloid beta or slow amyloid beta production, delaying the onset of symptomatic Alzheimer's," she said. "More research is needed to see if this is, in fact, the case." Approximately 7.2 million Americans aged 65 and older are currently living with Alzheimer's, according to the Alzheimer's Association. Fox News Digital reached out to the study researchers for article source: Breast cancer survivors may have lower risk of developing Alzheimer's disease, study finds