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Air Quality

New Computer Language Unlocks Hidden Pollutants in Environmental Data

Biologists and chemists have a new programming language to uncover previously unknown environmental pollutants at breakneck speed — without requiring them to code.

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New Computer Language Unlocks Hidden Pollutants in Environmental Data

In a breakthrough for environmental science, researchers at UC Riverside have developed a programming language called Mass Query Language (MassQL) that enables biologists and chemists to quickly identify previously unknown pollutants in massive chemical datasets. This innovative tool has already helped scientists discover toxic compounds hidden in plain sight.

The power of MassQL lies in its ability to function like a search engine for mass spectrometry data, which is akin to a chemical fingerprint. By making it easier to search these vast datasets, the language allows researchers to find patterns that would otherwise require advanced programming skills. This has significant implications for environmental science, as scientists can now quickly identify pollutants in water, air, and other samples.

Developed by Mingxun Wang, an assistant professor of computer science at UC Riverside, MassQL was created to empower chemists and biologists without extensive coding experience to mine their data exactly how they want. This user-friendly approach has the potential to revolutionize environmental research, enabling scientists to quickly identify pollutants and develop strategies for removal.

One notable example of MassQL’s effectiveness is its use by Nina Zhao, a UCR postdoctoral student now at UC San Diego. She employed the language to sift through the entire world’s mass spectrometry data on water samples, searching for organophosphate esters – compounds commonly found in flame retardants. The results were staggering: MassQL pulled out thousands of measurements, including some chemicals that have not been previously described or catalogued.

These findings highlight the importance of MassQL in environmental science. By providing a powerful tool for identifying pollutants, researchers can now develop strategies to address these toxic compounds and protect human and animal health.

MassQL’s development was made possible by a collaborative effort involving over 70 scientists from various fields. This consensus-driven approach ensured that the language would be useful across multiple disciplines and real-life situations.

The potential applications of MassQL are vast, ranging from detecting fatty acids as markers of alcohol poisoning to identifying new drugs to combat antibiotic resistance. The research team has demonstrated the effectiveness of the language in a variety of scenarios, including finding forever chemicals on playgrounds.

As Wang notes, “I wanted to create one language that could handle multiple kinds of queries. And now we have. I’m excited to hear about the discoveries that could come from this.”

With MassQL, researchers can now quickly identify pollutants and develop strategies for removal, paving the way for a cleaner, healthier environment for all.

Air Quality

The Hidden Threat: How Feral Honey Bees Are Displacing Native Bees in Southern California

Feral honey bees, once celebrated for their agricultural value, are now threatening native ecosystems in Southern California by monopolizing pollen sources and overwhelming native pollinators. A new study reveals they remove up to 80% of pollen in a single day, severely disrupting food sources for over 700 species of native bees. Despite their benefits to agriculture, these invasive bees dominate nearly all bee biomass in the region and even produce lower-quality offspring when pollinating native plants. The findings urge conservationists to rethink beekeeping practices, especially near threatened bee populations and natural preserves.

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The majority of the Earth’s plant species rely on animal pollinators to reproduce, and our modern agricultural industry is heavily reliant on honey bees. Feral honey bees, which are non-native and often escape human management, can perturb native ecosystems when they become abundant. A new study by University of California San Diego biologists is calling attention to the threat posed by these feral honey bees to native pollinators in Southern California.

The researchers found that honey bees remove about 80% of pollen during the first day a flower opens, leaving scant resources for native bees. If the pollen and nectar used to create honey bee biomass were instead converted to native bees, populations of native bees would be expected to be roughly 50 times larger than they are currently.

While public concern often focuses on the plight of the honey bee, researchers say that such a level of honey bee exploitation is not well documented. This can pose an additional and important threat to native bee populations in places where honey bees have become abundant.

The study used pollen-removal experiments to estimate the amount of pollen extracted by honey bees using three common native plants as targeted pollen sources. The researchers found that just two visits by honey bees removed more than 60% of available pollen from flowers of all three species.

One step to address this situation could be increased guidance on whether and where large-scale contract beekeepers are allowed to keep their hives on public lands after crops have bloomed, to limit opportunities for honey bees to outcompete native species for scarce resources provided by native vegetation.

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Air Quality

The Buzz on Bees: How Environmental Change Affects Their Communication and Pollination Abilities

High heat and heavy metals dampen a bumblebee’s trademark buzz, threatening pollen release and colony chatter. Tiny sensors captured up-to-400-hertz tremors that falter under environmental stress, raising alarms for ecosystems and sparking ideas for pollination robots.

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The buzz on bees has long been a topic of interest, but recent research is shedding new light on how environmental change affects their communication and pollination abilities. Scientists have found that high temperatures and exposure to heavy metals can reduce the frequency and pitch of non-flight wing vibrations in bees, which could have significant consequences for their role as pollinators.

Dr. Charlie Woodrow, a postdoctoral researcher at Uppsala University, has been studying the effect of environmental change on bee buzzes. He notes that people often don’t realize that bees use their flight muscles for functions other than flight, such as communication and defense. One important function is buzz-pollination, which involves a bee curling its body around the pollen-concealing anthers of flowers and contracting its flight muscles up to 400 times per second to produce vibrations that shake loose the pollen.

Dr. Woodrow’s experiments involved using accelerometers to measure the frequency of the buzz, which corresponds to the audible pitch. He also used thermal imaging to show how bees deal with the extra heat generated by their buzzing. The research has found that temperature plays a vital role in determining the properties of a bee’s buzz, and exposure to heavy metals can reduce the contraction frequencies of the flight muscles during non-flight buzzing.

The benefits of understanding the impact of environmental change on a bee’s buzz include unique insights into bee ecology and behavior, helping to identify species or regions most at risk, and improving AI-based species detection based on sound recordings. Dr. Woodrow suggests that buzzes could even be used as a marker of stress or environmental change.

The research also has implications for robotics and the future safeguarding of pollination services. Dr. Woodrow is working towards understanding bee vibrations through micro-robotics, so their results are also going towards developing micro-robots to understand pollen release.

Overall, the buzz on bees is more than just a curiosity; it’s an important aspect of their ecology that can provide valuable insights into environmental change and its impact on pollination services.

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Air Quality

The Fig Trees That Fight Climate Change: A Revolutionary Carbon-Sequestering Mechanism

Kenyan fig trees can literally turn parts of themselves to stone, using microbes to convert internal crystals into limestone-like deposits that lock away carbon, sweeten surrounding soils, and still yield fruit—hinting at a delicious new weapon in the climate-change arsenal.

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The Fig Trees That Fight Climate Change: A Revolutionary Carbon-Sequestering Mechanism

In a groundbreaking discovery, researchers have found that certain species of fig trees possess an extraordinary ability – they can turn themselves into stone, literally. This remarkable phenomenon, known as the oxalate-carbonate pathway, allows these trees to draw carbon dioxide from the atmosphere and store it in the surrounding soil as calcium carbonate rocks.

The research team, comprising scientists from Kenya, the US, Austria, and Switzerland, has been studying this unique ability of fig trees. They found that by using CO2 to create calcium oxalate crystals, which are then converted into calcium carbonate by specialized bacteria or fungi, these trees can sequester inorganic carbon more effectively than their counterparts that store organic carbon.

Dr. Mike Rowley, a senior lecturer at the University of Zurich, is leading the research effort. He explained that while trees have long been recognized for their ability to absorb CO2 through photosynthesis, the oxalate-carbonate pathway offers an additional benefit – the sequestration of inorganic carbon in the form of calcium carbonate.

This discovery has significant implications for climate change mitigation efforts. By choosing trees with this unique ability for agroforestry, we can not only produce food but also sequester more CO2 from the atmosphere. The team’s research highlights the potential for these trees to play a crucial role in reducing greenhouse gas emissions.

The study, which was presented at the Goldschmidt conference in Prague, focused on three species of fig trees grown in Samburu County, Kenya. The researchers identified how far from the tree the calcium carbonate was being formed and identified the microbial communities involved in the process.

One of the key findings was that Ficus wakefieldii, a specific type of fig tree, was the most effective at sequestering CO2 as calcium carbonate. The team is now planning to assess the suitability of this tree for agroforestry by quantifying its water requirements and fruit yields and conducting a more detailed analysis of how much CO2 can be sequestered under different conditions.

This research has far-reaching implications, not only for climate change mitigation but also for our understanding of the complex relationships between trees, microorganisms, and the environment. As Dr. Rowley noted, “There are many more species of trees that can form calcium carbonate, so this pathway could be a significant, underexplored opportunity to help mitigate CO2 emissions as we plant trees for forestry or fruit.”

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