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Assisted by sniffer dogs and DNA sequencing, researchers discover three new truffle species

Mar 3, 2026

4 min

University of Florida biologists studying fungal evolution and ecology have discovered three new truffle species, including one capable of commanding hundreds of dollars per pound within culinary circles.

“Our paper confirms what a lot of people had suspected for a long time, which is that the North American truffle species is genetically very distinct from its European relatives.” —Benjamin Lemmond, study co-author and a former UF student

The researchers describe their discoveries in a Persoonia. Their work shakes up the Morchellaceae truffle family tree, with key insights related to perhaps the most commercially valuable truffle in North America, the Oregon black truffle. Gourmet chefs, who sometimes grate the odoriferous truffle over dishes or infuse butter with it, have been known to pay as much as $800 per pound for the delicacy.

For decades, the Oregon black truffle has been known scientifically as Leucangium carthusianum. It was originally found in Europe and later found in the Pacific Northwest, from California to British Columbia. However, recent genetic testing and field analysis by researchers from UF’s Institute of Food and Agricultural Sciences (UF/IFAS) revealed the North American variety is a distinct species. Scientists are giving this newly recognized species a name honoring the Cascadia region in which it is found: Leucangium cascadiense.

“Our paper confirms what a lot of people had suspected for a long time, which is that the North American truffle species is genetically very distinct from its European relatives,” said study co-author Benjamin Lemmond, a former UF student.

Lemmond, now a postdoctoral associate at the University of California at Berkeley, began his research into the truffles as a first-year doctoral student studying under professor Matthew Smith of the UF/IFAS plant pathology department. During the COVID-19 pandemic, Lemmond couldn’t access the campus greenhouse where he was conducting an experiment, so Smith secured hundreds of dried truffle specimens from Oregon State University for him to study. The stash included slivers of the Oregon black truffle, a dark-colored, potato-shaped species with tiny, pyramid-shaped warts.

When pandemic restrictions relaxed, Lemmond and Smith conducted genetic testing of the Oregon State specimens and others borrowed from Polish, Greek, Italian, French and Japanese collections.

Their tests indicated Oregon black truffles from North America had at one point diverged from their European counterparts on the Morchellaceae evolutionary tree, according to the study. They also established the existence of another distinct and very rare species, Imaia kuwohiensis, a pale-colored truffle with dark warts, which is native to threatened spruce-fir habitats in the southern Appalachian Mountains. Their name for the truffle comes from the Cherokee word for the Great Smoky Mountains’ highest peak, Kuwohi.

Field tests followed. The researchers wanted to understand the origin of Oregon black truffles’ energy.

“Understanding the fundamental, basic biology and life cycle of this truffle is really important,” Lemmond said. “It’s a very valuable commodity, and this knowledge might help us to cultivate the truffle in the future. It also supports long-term conservation and management.”

Most gourmet truffles are mycorrhizal, meaning they obtain energy from trees, Lemmond said. It had long been suspected that Oregon black truffles obtain energy through a symbiotic relationship with young Douglas fir trees, but no one had conclusively proven it.

Lemmond traveled to the Pacific Northwest and worked with specially trained sniffer dogs capable of detecting truffles buried as deep as 10 inches beneath soil and leaf litter. With the dogs’ help, he unearthed Oregon black truffles nestled among Douglas fir stands. He used fluorescent stain that bonded with the fungal tissue, coloring it green to show where the truffle fungus grew between the cells of the tree root tissue.

“The truffle fungi surround the whole root, but the fungus is healthy, and the plant is healthy,” Smith said. “The two trade nutrients back and forth.”

DNA sequencing of the roots subsequently proved the truffles rely on the trees as their main source of carbon, according to the study.

As the researchers conducted genome sequencing of the Oregon black truffle, they learned of a peculiar find reported by a citizen scientist on iNaturalist, an online science data network: a Leucangium truffle growing among Eastern hemlock trees in Oneida County, New York.

It was the first time anyone had ever reported a Leucangium species in the United States, east of the Rocky Mountains, Lemmond said.

Lemmond contacted Purdue University, which was preserving the specimen, and requested a sample. The truffle’s physical characteristics, including its dense external hairs and lack of warts, distinguished it from other Leucangium species. DNA analysis confirmed significant variation, too. The researchers named the new truffle species Leucangium oneidaense to recognize the county where it was unearthed.

A few years later, just before the researchers submitted their study for publication, someone found a second Leucangium oneidaense specimen growing in Massachusetts, Lemmond said.

“It was great timing, and it suggests to me that there are still a lot of undiscovered truffles out there, waiting to be found,” he said.

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Matthew Edward Smith

Professor

Matthew Smith's research is focused on fungal systematics, ecology and evolution. Smith is an expert on fungal biodiversity and mushrooms.

Mushroom PoisoningBiodiversityMycorrhizaMycologyFungal Biology

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Apr 12, 2026

3 min

Study finds most cancer patients exposed to misinformation; UF researchers pilot 'information prescription'

Ninety-three percent of patients with a new cancer diagnosis were exposed to at least one type of misinformation about cancer treatments, a UF Health Cancer Center study has found. Most patients encountered the misinformation — defined as unproven or disproven cancer treatments and myths or misconceptions — even when they weren’t looking for it. The findings have major implications for cancer treatment decision-making. Specifically, doctors should assume the patient has seen or heard misinformation. “Clinicians should assume when their patients are coming to them for a treatment discussion that they have been exposed to different types of information about cancer treatment, whether or not they went online and looked it up themselves,” said senior author Carma Bylund, Ph.D., a professor and associate chair of education in the UF Department of Health Outcomes and Biomedical Informatics. “One way or another, people are being exposed to a lot of misinformation.” Working with oncologists, Bylund and study first author Naomi Parker, Ph.D., an assistant scientist in the UF Department of Health Outcomes and Biomedical Informatics, are piloting an “information prescription” to steer patients to sources of evidence-based information like the American Cancer Society. The study paves the way for other similar strategies. Most notably, the study found the most common way patients were exposed to misinformation was second hand. “Your algorithms pick up on your diagnosis, your friends and family pick up on it, and then you’re on Facebook and you become exposed to this media,” Parker said. “You’re not necessarily seeking out if vitamin C may be a cure for cancer, but you start being fed that content.” And no, vitamin C does not cure cancer. Health misinformation can prevent people from getting treatment that has evidence behind it, negatively affect relationships between patients and physicians, and increase the risk of death, research has shown. People with cancer are particularly vulnerable to misinformation because of the anxiety and fear that comes with a serious diagnosis, not to mention the overwhelming amount of new information they have to suddenly absorb. While past research has studied misinformation by going directly to the source — for instance, studying what percentage of content on a platform like TikTok is nonsense — little research has looked at its prevalence or how it affects people. The team first developed a way to identify the percentage of cancer patients exposed to misinformation. UF researchers collaborated with Skyler Johnson, M.D., at Huntsman Cancer Institute, an internationally known researcher in the field. The survey questions were based on five categories of unproven or disproven cancer treatments — vitamins and minerals, herbs and supplements, special diets, mind-body interventions and miscellaneous treatments — and treatment misconceptions. The myths and misconceptions were adapted from National Cancer Institute materials and included statements like “Will eating sugar make my cancer worse?” The team surveyed 110 UF Health patients diagnosed with prostate, breast, colorectal or lung cancer within the past six months, a time when patients typically make initial treatment decisions. Most had heard of a potential cancer treatment beyond the standard of care, and most reported they had heard of at least one myth or misconception. The most common sources were close friends or family and websites, distant friends/associates or relatives, social media and news media. The findings mark a shift in misinformation research, with major implications for the doctor-patient relationship, said Bylund, a member of the Cancer Control and Population Sciences research program at the UF Health Cancer Center. “I still think media and the internet are the source and why misinformation can spread so rapidly, but it might come to a cancer patient interpersonally, from family or friends,” she said. Most patients rarely discussed the potential cancer treatments they had heard about with an oncologist, the study also found. Next, the researchers plan to survey a wider pool of patients, then study the outcomes of interventions designed to decrease misinformation exposure, like the information prescription.

Apr 9, 2026

2 min

New AI tool matches students with high-impact internships

Finding the right internship can be an important step for students, but it’s not always clear which opportunities will lead to the strongest growth. To help solve that problem, University of Florida researchers have developed an AI-powered tool that helps students identify internships most likely to accelerate their technical and professional development. Unlike traditional recommendation engines, Pro-CaRE not only predicts which opportunities will lead to stronger outcomes, it also explains why each suggestion is a good fit. In testing data collected from the students, Pro-CaRE’s predictions proved highly accurate, accounting for more than 72% of the differences in learning gains among participants. While the pilot is being tested in engineering, the tool could be adopted for other disciplines. “Internships are one of the most critical parts of an engineering education, but students often struggle to know which experiences will actually help them grow,” said Jinnie Shin, assistant professor of research and evaluation methodology in the UF College of Education. “What makes Pro-CaRE unique is that it doesn’t just offer a list of options. It provides personalized recommendations backed by data and it tells students clearly why an opportunity is a good match for them.” Pro-CaRE creates matches by analyzing each student’s coursework, major, background and self-reported interest, confidence and self-efficacy in engineering skills. It then compares that profile with a carefully chosen set of similar peers to refine suggestions. The result is more precise guidance that adapts to students at different stages of their degree programs. “Students shouldn’t have to guess or hope that an internship will be worthwhile,” Shin said. “With Pro-CaRE, they can approach opportunities knowing they’re backed by evidence, whether the role is onsite, hybrid or remote and whether it’s at a startup or a Fortune 500 company.” The system is designed to work across a wide range of companies and contexts, giving students flexibility while ensuring their choices align with their personal and professional goals. Each recommendation comes with a clear “why this?” explanation, so students can make confident decisions and discuss options more effectively with advisors. Pro-CaRE was developed by a cross-disciplinary UF team combining expertise in education and engineering. Alongside Shin, the project’s co-principal investigators include Kent Crippen in the College of Education and Bruce Carroll in the Herbert Wertheim College of Engineering. The team is exploring external funding opportunities to expand the usage and test the efficacy on a larger scale. “Ultimately, our goal is to empower students to invest their time in experiences that will have the greatest impact,” Shin said. “Pro-CaRE bridges the gap between what students hope to gain and what internships can truly deliver.”

Apr 7, 2026

2 min

Using AI tools empowers and burdens users in online Q&A communities

Whether you’ve searched for cooking tips on Reddit, troubleshooted tech problems on community forums or asked questions on platforms like Quora, you’ve benefited from online help communities. These digital spaces rely on people across the world to contribute their knowledge for free, and have become an essential tool for solving problems and learning new skills. New research reveals that generative artificial intelligence tools like ChatGPT are creating a double-edge effect on users in these communities, simultaneously making them more helpful while potentially overwhelming them to the point of decreasing their responses. “On the positive side, AI helps users learn to write more organized and readable answers, leading to a noticeable increase in the number of responses,” explained Liangfei Qiu, Ph.D., study coauthor and PricewaterhouseCoopers Professor at the University of Florida Warrington College of Business. “However, when users rely too heavily on AI, the mental effort required to process and refine AI outputs can actually reduce participation. In other words, AI both empowers and burdens contributors: it enables more engagement and better readability, but too much reliance can slow people down.” The study examined Stack Overflow, one of the world’s largest question-and-answer coding platforms for computer programmers, to investigate the impact of generative AI on both the quality and quantity of user contributions. Qiu and his coauthor Guohou Shan of Northeastern University’s D’Amore-McKim School of Business measured the impact of AI on users’ number of answers generated per day, answer length and readability. Specifically, they found that users who used AI tools to generate their responses contributed almost 17% more answers per day compared to those who didn’t use AI. The answers generated with AI were both shorter by about 23% and easier to read. However, when people relied too heavily on AI tools, their participation decreased. Qiu and Shan noted that the additional cognitive burden associated with heavier AI usage negatively affected the impact on a user’s answer quality. For online help communities grappling with AI policies, this research provides valuable insight into how these policies can be updated in the current AI environment. While some communities, like Stack Overflow, have banned AI tools, this research suggests that a more nuanced approach could be a better solution. Instead of banning AI entirely, the researchers suggest striking a balance between allowing AI usage while promoting responsible and moderated use. This approach, they argue, would enable users to benefit from efficiency and learning opportunities, while not compromising quality content and user cognition. “For platform leaders, the takeaway is clear: AI can boost participation if thoughtfully integrated, but its cognitive demands must be managed to sustain long-term user contributions,” Qiu said.