Thursday, July 20, 2023

Science: Greenland melted recently, shows high risk of sea level rise today


Long-lost ice core reveals that most of Greenland was green 416,000 years ago


Peer-Reviewed Publication

UNIVERSITY OF VERMONT

Melting ice on a small Greenland  tundra pond 

IMAGE: A LARGE PORTION OF GREENLAND MELTED ABOUT 416,000 YEARS AGO—PERHAPS A BIT LIKE THE MODERN GREENLAND LANDSCAPE SHOWN IN THIS PHOTO—AND BECAME ICE-FREE TUNDRA, OR BOREAL FOREST, A NEW STUDY IN THE JOURNAL SCIENCE SHOWS. THE RESULTS HELP OVERTURN A PREVIOUS VIEW THAT MUCH OF THE GREENLAND ICE SHEET PERSISTED FOR MOST OF THE LAST TWO AND A HALF MILLION YEARS. INSTEAD, MODERATE WARMING, FROM 424,000 TO 374,000 YEARS AGO, LED TO DRAMATIC MELTING. THIS FINDING INDICATES THAT THE ICE SHEET ON GREENLAND MAY BE MORE SENSITIVE TO HUMAN-CAUSED CLIMATE CHANGE THAN PREVIOUSLY UNDERSTOOD—AND WILL BE VULNERABLE TO IRREVERSIBLE, RAPID MELTING IN COMING CENTURIES. view more 

CREDIT: JOSHUA BROWN




Summary:

• A large portion of Greenland was an ice-free tundra landscape—perhaps covered by trees and roaming woolly mammoths—in the recent geologic past (about 416,000 years ago), a new study in the journal Science shows.

• The results help overturn a previous view that much of the Greenland ice sheet persisted for most of the last two and a half million years. Instead, moderate warming, from 424,000 to 374,000 years ago, led to dramatic melting.

• At that time, the melting of Greenland caused at least five feet of sea level rise, despite atmospheric levels of heat-trapping carbon dioxide being far lower than today (280 vs. 420 ppm). This indicates that the ice sheet on Greenland may be more sensitive to human-caused climate change than previously understood—and will be vulnerable to irreversible, rapid melting in coming centuries.

• The scientists—from the University of Vermont (UVM), Utah State University, and fourteen other institutions—used sediment from a long-lost ice core, collected at a secret U.S. Army base in the 1960s, to make the discovery. They applied advanced luminescence and isotope techniques to provide direct evidence of the timing and duration of the ice-free period.

A Green Land

During the Cold War, a secret U.S. Army mission, at Camp Century in northwestern Greenland, drilled down through 4560 feet of ice on the frozen island—and then kept drilling to pull out a twelve-foot-long tube of soil and rock from below the ice. Then this icy sediment was lost in a freezer for decades. It was accidentally rediscovered in 2017 and shown to hold not just sediment but also leaves and moss, remnants of an ice-free landscape, perhaps a boreal forest.

But how long ago were those plants growing—where today stands an ice sheet two miles thick and three times the size of Texas?

An international team of scientists was amazed to discover that Greenland was a green land only 416,000 years ago (with an error margin of about 38,000 years).

Their new study was published in the journal Science on July 21, 2023.

Bulletproof Evidence

Until recently, geologists believed that Greenland was a fortress of ice, mostly unmelted for millions of years. But, two years ago, using the rediscovered Camp Century ice core, this team of scientists showed that it likely melted less than one million years ago. Other scientists, working in central Greenland, gathered data showing the ice there melted at least once in the last 1.1 million years—but until this study, no one knew exactly when the ice was gone.

Now, using advanced luminescence technology and rare isotope analysis, the team has created a starker picture: large portions of Greenland’s ice sheet melted much more recently than a million years ago. The new study presents direct evidence that sediment just beneath the ice sheet was deposited by flowing water in an ice-free environment during a moderate warming period called Marine Isotope Stage 11, from 424,000 to 374,000 years ago. This melting caused at least five feet of sea level rise around the globe.

“It's really the first bulletproof evidence that much of the Greenland ice sheet vanished when it got warm,” says University of Vermont scientist Paul Bierman, who co-led the new study with lead author Drew Christ, a post-doctoral geoscientist who worked in Bierman’s lab, Professor Tammy Rittenour from Utah State University, and eighteen other scientists from around the world.

Understanding Greenland’s past is critical for predicting how its giant ice sheet will respond to climate warming in the future and how quickly it will melt. Since about twenty-three feet of sea-level rise is tied up in Greenland’s ice, every coastal region in the world is at risk. The new study provides strong and precise evidence that Greenland is more sensitive to climate change than previously understood—and at grave risk of irreversibly melting off.

 “Greenland’s past, preserved in twelve feet of frozen soil, suggests a warm, wet, and largely ice-free future for planet Earth,” says Bierman, a geoscientist in UVM’s Rubenstein School of the Environment and Natural Resources and a fellow in the Gund Institute for Environment, “unless we can dramatically lower the concentration of carbon dioxide in the atmosphere.”

Into the Light

The team’s new study in Science, combined with their earlier work, is causing a major and worrisome rethinking of the history of Greenland’s ice sheet. “We had always assumed that the Greenland ice sheet formed about two and a half million years ago—and has just been there this whole time and that it’s very stable,” says Tammy Rittenour, a scientist at Utah State University and co-author on the new study. “Maybe the edges melted, or with more snowfall it got a bit fatter—but it doesn't go away and it doesn't dramatically melt back. But this paper shows that it did.”

At Rittenour’s lab, sediment from the Camp Century core was examined for what is called a “luminescence signal.” As bits of rock and sand are transported by wind or water, they can be exposed to sunlight—which, basically, zeros out any previous luminescence signal—and then re-buried under rock or ice. In the darkness, over time, minerals of quartz and feldspar in the sediment accumulate freed electrons in their crystals. In a specialized dark room, Rittenour’s team took pieces of the ice core sediment and exposed them to blue-green or infrared light, releasing the trapped electrons. With some advanced tools and measures, and many repeated tests, the number of released electrons forms a kind of clock, revealing with precision the last time these sediments were exposed to the sun. “And the only way to do that at Camp Century is to remove a mile of ice,” says Rittenour, “Plus, to have plants, you have to have light.”

These powerful new data were combined with insight from Bierman’s UVM lab. There, scientists study quartz from the Camp Century core. Inside this quartz, rare forms—called isotopes—of the elements beryllium and aluminum build up when the ground is exposed to the sky and can be hit by cosmic rays. Looking at ratios of beryllium and other isotopes gave the scientists a window onto how long rocks at the surface were exposed vs. buried under layers of ice. This data helped the scientists show that the Camp Century sediment was exposed to the sky less than 14,000 years before it was deposited under the ice, narrowing down the time window when that portion of Greenland must have been ice-free.

Under Ice

Camp Century was a military base hidden in tunnels under the Greenland ice sheet in the 1960s. One strategic purpose of the camp was a top-secret operation, called Project Iceworm, to hide hundreds of nuclear missiles under the ice near the Soviet Union. As cover, the Army claimed the camp was an Arctic science station.

The missile mission was a bust, but the science team did complete first-of-its-kind research, including drilling a nearly mile-deep ice core. The Camp Century scientists were focused on the ice itself—part of an effort to understand Earth’s past ice ages and warm periods, the interglacials. They took little interest in the twelve feet of sediment gathered from beneath their ice core. Then, in a bizarre story, the ice core was moved in the 1970s from a military freezer to the University at Buffalo—and then to another freezer in Denmark in the 1990s. There it was lost for decades—until it was found again when the cores were being moved to a new freezer. More about how the core was lost, rediscovered in some cookie jars, and then studied by an international team gathered at the University of Vermont’s Gund Institute for Environment can be read here: Secrets Under the Ice.

Sea Level

Camp Century is 138 miles inland from the coast and only 800 miles from the North Pole; the new Science study shows that the region entirely melted and was covered with vegetation during Marine Isotope Stage 11, a long interglacial with temperatures similar to or slightly warmer than today. With this information, the team’s models show that, during that period, the ice sheet melted enough to cause at least five feet, and perhaps as much as twenty feet, of sea-level rise. The research, supported by the U.S. National Science Foundation, lines up with findings from two other ice cores collected in 1990s from the center of Greenland. Sediment from these cores also suggest that the giant ice sheet melted in the recent geologic past. The combination of these earlier cores with the new insight from Camp Century reveal the fragile nature of the entire Greenland ice sheet—in the past (at 280 parts per million of atmospheric CO2 or less) and today (422ppm and rising).

“If we melt just portions of the Greenland ice sheet, the sea level rises dramatically,” says Utah’s Tammy Rittenour. “Forward modeling the rates of melt, and the response to high carbon dioxide, we are looking at meters of sea level rise, probably tens of meters. And then look at the elevation of New York City, Boston, Miami, Amsterdam. Look at India and Africa—most global population centers are near sea level.”

“Four-hundred-thousand years ago there were no cities on the coast,” says UVM’s Paul Bierman, “and now there are cities on the coast.”

###

Additional information:

  1. Original study in Science (available after embargo lifts): “Deglaciation of northwestern Greenland during Marine Isotope Stage 11.”
  2. Website with resources for media: Camp Century: below the ice
  3. One-minute video about the new study: https://www.youtube.com/watch?v=CYfSphNHOm8
  4. The University of Vermont’s National Science Foundation Cosmogenic Facility
  5. Utah State University’s Luminescence Lab 

Greenland has greener history than previously thought, says USU Geoscientist

Tammy Rittenour and colleagues report much of the Artic island's ice melted as recently as 416,000 years ago, which has implications for sea-level rise


Peer-Reviewed Publication

UTAH STATE UNIVERSITY

USU Luminescence Lab 

IMAGE: IN THE UTAH STATE UNIVERSITY LUMINESCENCE LAB, GRADUATE STUDENT HAWKE WOZNICK USES SIEVES TO PREPARE SEDIMENT SAMPLES FROM GREENLAND'S CAMP CENTURY FOR OSL DATING. USU GEOSCIENCES PROFESSOR TAMMY RITTENOUR AND COLLEAGUES REPORTED FINDINGS ABOUT THE SAMPLES IN THE JULY 20, 2023, ISSUE OF THE JOURNAL 'SCIENCE.' view more 

CREDIT: USU/LEVI SIM



LOGAN, UTAH, USA -- New analysis of samples collected from underneath Greenland’s ice sheet reveal the Arctic island was much greener as recently as 416,000 years ago. The findings overturn previous views that Greenland’s continental glacier, which covers about 80 percent of the 836,3000-square-mile land mass, has persisted for the last two and a half million years.

“We’re discovering the ice sheet is much more sensitive to climate change than we previously thought,” says Utah State University geoscientist Tammy Rittenour. “This is a foreboding wake-up call.”

Rittenour, with colleagues from the University of Vermont and fourteen other institutions, reports findings in the July 20, 2023, issue of the journal Science. Their research is supported by the National Science Foundation.

A greener Greenland means the island’s formidable-appearing ice sheet – nearly two miles thick in places – is not as stable as it appears.

“We had always assumed the ice sheet has remained about the same for nearly 2.5 million years,” says Rittenour, professor in USU’s Department of Geosciences. “But our investigation indicates it melted enough to allow the growth of moss, shrubs and buzzing insects during an interglacial period called Marine Isotope Stage 11, between 424,000 to 374,000 years ago.”

The melting caused at least five feet of sea-level rise around the globe, she says. “Some of our model scenarios suggest sea levels up to 20 feet higher than today.”

“It was an unusually long period of warming with moderately elevated levels of carbon dioxide – CO2 – in the atmosphere,” Rittenour says. “What’s alarming about this finding is today’s CO2 levels are 1.5 times higher.”

Even if humans abruptly stopped activities that contribute to greenhouse gas emissions, she says, “we’d still have inflated CO2 levels for hundreds, maybe even thousands, of years to come.”

That’s an uneasy realization, she says, with current rates at which Greenland’s ice sheet is thawing.

“And that’s not taking Antarctica and other glacial areas into consideration,” Rittenour says. “The deglaciation has implications for the entire globe and is especially sobering for our coastal mega-cities, where so much of the world’s population resides.”

The team’s analysis is a continuation of research started several years ago, when the scientists happened upon samples collected from an extraordinary, Cold War-era military project.

“In 1960, the U.S. Army launched a top-secret effort called Project Iceworm in northwestern Greenland to build a network of mobile nuclear launch sites under the ice sheet,” Rittenour says. “As part of that project, they also invited scientists and engineers to conduct experiments in a highly publicized ‘cover’ project, known as Camp Century, to study the feasibility of working and carrying out military missions under ice and in extreme-cold conditions.”

Hampered by brutal blizzards and unstable ice conditions, Project Iceworm’s cavernous underground bunker and tunnels were abandoned in 1966. But sediment samples collected at the bottom of a more than 4,000-foot-long ice core extracted from the site have yielded the surprising information about Greenland’s not-so-distant geologic past.

The frozen soil samples from the base of the Camp Century ice core were forgotten in a freezer for decades, until recently re-discovered.

“We have very few samples from below the Greenland ice sheet, because most drilling missions stop when they reach the base of the ice,” Rittenour says. “These re-discovered Camp Century sediments represent a unique, unspoiled time capsule of past conditions.”

While the frozen soil sat in a freezer for more than 60 years, science technology advanced. Rittenour, who is director of the USU Luminescence Laboratory, was invited to help date the sediment.

“Because the samples remained frozen and largely untouched, I was able to use luminescence dating to determine the last time they were exposed to sunlight,” she says. “If researchers had examined the sediments in the past, we couldn’t have run any of the analyses we did for this paper.”

Rittenour says today’s investigative technologies enable researchers to distill a good record of what’s happened in Greenland and other parts of the world.

“These once lost, Cold War relics from a top-secret nuclear military base carved within the ice are continuing to tell their secrets, and forewarn us of the sensitivity of Earth’s climate,” she says. “If we can lose the far northwest portion of the Greenland ice sheet under natural conditions, then we’re treading dangerous waters given current elevated greenhouse gas conditions.”

Utah State University Geosciences Professor Tammy Rittenour, pictured in July 2023 at Iceland’s Langjökull ice cap, studies the paleoclimatology of extreme environments throughout the globe.

CREDIT

USU/Tammy Rittenour

 

Climate science is catching up to climate change with predictions that could improve proactive response


Peer-Reviewed Publication

UNIVERSITY OF CALIFORNIA - SANTA BARBARA




In Africa, climate change impacts are experienced as extreme events like drought and floods. Through the Famine Early Warning Systems Network (which leverages expertise from USG science agencies, universities, and the private sector) and the IGAD Climate Prediction and Applications Center, it has been possible to predict and monitor these climatic events, providing early warning of their impacts on agriculture to support humanitarian and resilience programming in the most food insecure countries of the world.

Science is beginning to catch up with and even get ahead of climate change. In a commentary for the journal Earth’s Future, UC Santa Barbara climate scientist Chris Funk and co-authors assert that predicting the droughts that cause severe food insecurity in the Eastern Horn of Africa (Kenya, Somalia and Ethiopia) is now possible, with months-long lead times that allow for measures to be taken that can help millions of the region’s farmers and pastoralists prepare for and adapt to the lean seasons.

“We’ve gotten very good at making these predictions,” said Funk, who directs UCSB’s Climate Hazards Center, a multidisciplinary alliance of scientists who work to predict droughts and food shortages in vulnerable areas.

In the summer of 2020, the CHC predicted that climate change, interacting with naturally occurring La Niña events, would bring devastating sequential drought to the Eastern Horn of Africa. The region normally has two wet seasons a year — spring and  fall. An unprecedented five rainy seasons in a row failed. Eight months before each of those failures, the CHC anticipated droughts. Fortunately, agencies and other collaborators paid heed to those early warnings and were able to take effective actions, Funk said. Within the U.S. Agency for International Development (USAID), the forecasts helped motivate hundreds of millions of dollars in assistance for millions of starving people.

These efforts were a far cry from similar predictions of sequential droughts that the researchers, collaborating with the USAID-supported Famine Early Warning Systems Network, made for the same region ten years earlier. Predictions that went largely unheeded. “More than 250,000 Somalis died,” Funk said. “It was just really horrible.”

At the time, he said, the available forecasts weren’t able to predict rainfall deficits in this region. While the models said East Africa would become wetter, observations showed substantial declines in the spring wet season. And to be fair, he added, the group’s long-range weather prediction capabilities were still in their infancy. “We made an accurate forecast, but we didn’t understand very well what was going on scientifically,” Funk said.  “Now, following our success in 2016/17, and extensive outreach efforts, the humanitarian relief community appreciates the value of our early warning systems.”

In the intervening 10 years, the researchers have worked to discern and understand the broad, often distant mechanisms that drive drought in the Eastern Horn of Africa and create accurate, tailored forecasts for the region. They built on research showing that increased rainfall around Indonesia, caused by anthropogenic increases in sea surface temperatures, resulted in less moisture flowing on to the East African coast during the rainy months. These changes in moisture flows drive back-to-back droughts. But as climate change increases western Pacific sea surface temperatures, it becomes more and more possible to predict devastating water shortages.

“We’ve published about 15 scientific papers on this topic,” Funk said, “and we’ve forecasted dry seasons in 2016-2017, which helped prevent a famine that year.”  As he discusses in his book “Drought, Flood, Fire (Cambridge University Press, 2021),” “climate change amplifies natural sea surface temperature variations, which opens the door to better forecasts.”

In the new commentary and a longer paper currently at preprint stage, also coming out in Earth’s Future, the co-authors highlight, respectively, the opportunities associated with these long range outlooks, and the physical mechanisms explaining the predictability.

“To reduce the impacts of climate extremes, we need to look for opportunities,” said CHC Specialist and Operations Analyst Laura Harrison. “We need to pay attention to not just how climate is changing, but how these changes can support more effective predictions for droughts and for advantageous cropping conditions. As a community, we also need to foster communication about successful resilience strategies.”

"Flooding still happens, drought still happens, people still get hurt, but we can try to reduce the harm."

With climate models that can predict extreme ocean states at eight-month lead times, and weather forecasts that can make projections at two weeks and at 45 days, CHC scientists and researchers now can provide actionable information to collaborators on the ground to help local farmers anticipate and plan for dry conditions.

“We’re working with this group called Plant Village, who is providing agricultural advisories to millions of Kenyans, and helping them take actions that can help make their crops more drought-resistant,” Funk said.

This proactivity is something Funk and collaborators hope will become a bigger part of climate change strategy for the Eastern Horn of Africa, as their models predict more of these drought-forming conditions in the region’s future. A better local understanding of the mechanisms that result in droughts, and investments in early warning systems and adaptation measures, may initially be costly, they said, “but are relatively inexpensive when compared to post-impact, response-based alternatives such as humanitarian assistance and/or funding safety-net programs.”

Education and participation can build trust and ultimately increase resilience. The CHC is building on what they learned in East Africa, and using it to feed partnerships in other parts of the world. In southern Africa, for example, they are collaborating with the Zimbabwe Meteorological Services Department and the Knowledge Impact Network to support the development of actionable climate services.

“Understanding that climate change makes extremes more frequent is really empowering because now we can try to anticipate those bad effects,” Funk said. “Flooding still happens, drought still happens, people still get hurt, but we can try to reduce the harm.”

AI

Exclusive-AI being used for hacking and misinfo, top Canadian cyber official says


Story by By Raphael Satter • 


By Raphael Satter

WASHINGTON (Reuters) - Hackers and propagandists are wielding artificial intelligence (AI) to create malicious software, draft convincing phishing emails and spread disinformation online, Canada's top cybersecurity official told Reuters, early evidence that the technological revolution sweeping Silicon Valley has also been adopted by cybercriminals.

In an interview this week, Canadian Centre for Cyber Security Head Sami Khoury said that his agency had seen AI being used "in phishing emails, or crafting emails in a more focused way, in malicious code (and) in misinformation and disinformation."

Khoury did not provide details or evidence, but his assertion that cybercriminals were already using AI adds an urgent note to the chorus of concern over the use of the emerging technology by rogue actors.

In recent months several cyber watchdog groups have published reports warning about the hypothetical risks of AI - especially the fast-advancing language processing programs known as large language models (LLMs), which draw on huge volumes of text to craft convincing-sounding dialogue, documents and more.

In March, the European police organization Europol published a report saying that models such as OpenAI's ChatGPT had made it possible "to impersonate an organisation or individual in a highly realistic manner even with only a basic grasp of the English language." The same month, Britain's National Cyber Security Centre said in a blog post that there was a risk that criminals "might use LLMs to help with cyber attacks beyond their current capabilities."

Cybersecurity researchers have demonstrated a variety of potentially malicious use cases and some now say they are beginning to see suspected AI-generated content in the wild. Last week, a former hacker said he had discovered an LLM trained on malicious material and asked it to draft a convincing attempt to trick someone into making a cash transfer.

The LLM responded with a three paragraph email asking its target for help with an urgent invoice.

"I understand this may be short notice," the LLM said, "but this payment is incredibly important and needs to be done in the next 24 hours."

Khoury said that while the use of AI to draft malicious code was still in its early stages - "there's still a way to go because it takes a lot to write a good exploit" - the concern was that AI models were evolving so quickly that it was difficult to get a handle on their malicious potential before they were released into the wild.

"Who knows what's coming around the corner," he said.

(Reporting by Raphael Satter in Washington; editing by Chris Sanders and Josie Kao)

Scientists unveil plans for underwater AI bot that detects illegal fishing


Robot powered by artificial intelligence will swim the world's seas to detect activities that harm the ocean environment

Grant and Award Announcement

UNIVERSITY OF SOUTHAMPTON

Waterproof AI bot to detect illegal fishing 

IMAGE: SCIENTISTS UNVEIL PLANS FOR NEW UNDERWATER AI BOT WHICH CAN DETECT ILLEGAL FISHING view more 

CREDIT: UNIVERSITY OF SOUTHAMPTON




Scientists have started work on a new underwater artificial intelligence bot which can detect activities that harm the ocean environment.

The technology, being developed by the University of Southampton with ocean science experts RS Aqua, will be used to spot illegal fishing and protect marine mammals during offshore wind farm construction.

More than £700,000 was awarded by Innovate UK for the AI system, codenamed MARLIN, which uses underwater sensors to remotely monitor animal, human and environmental activity anywhere in the ocean before transmitting data back in real time.

Professor of Statistical Signal Processing Paul White, from the University of Southampton, said: "Using the power of artificial intelligence to monitor sound in the underwater world, combined with the ability to rapidly relay information ashore, will enable us to provide tools to protect fragile marine ecosystems and detect a range of illegal activities."

Large vessels are typically used for ocean monitoring missions – but the new MARLIN system could reduce the time ships are at sea, potentially cutting CO2 emissions by up to 75 per cent.

Dr Ryan Mowat, Research Director at RS Aqua, added: “This technology will revolutionise how we scientifically monitor our ocean environment. Currently we leave instruments underwater for months at a time and recover them before accessing their data.

“MARLIN will get that data to the internet in real time, and its implications are huge. It will help ensure that offshore construction is sensitive to marine mammal activity and will enable the monitoring of marine protected areas through the real time recognition of illegal fishing activity.”

Find out more at the MARLIN project at rsaqua.co.uk/projectmarlin.

Or read more about innovations from the University of Southampton which are addressing maritime challenges at www.southampton.ac.uk/smmi.

ENDS
283 WORDS


Fueled by new chemistry, algorithm mines fungi for useful molecules


Researchers have trained a new algorithm based on promising new targets and reinvigorated the search for clusters of genes likely to result in interesting biological compounds

Peer-Reviewed Publication

UNIVERSITY OF WISCONSIN-MADISON




A newly described type of chemistry in fungi is both surprisingly common and likely to involve highly reactive enzymes, two traits that make the genes involved useful signposts pointing to a potential treasure trove of biological compounds with medical and chemical applications.

It was also nearly invisible to scientists until now.

In the last 15 years, the hunt for molecules from living organisms — many with promise as drugs, antimicrobial agents, chemical catalysts and even food additives — has relied on computer algorithms trained to search the DNA of bacteria, fungi and plants for genes that produce enzymes known to drive biological processes that result in interesting compounds.

“The field kind of hit a wall in the early 2000s, when the discovery process was to extract things from fungi and see what those extracts did. But we kept rediscovering the same things,” says Grant Nickles, a graduate student in the lab of Nancy Keller, professor of medical Microbiology and immunology. “As we learned more about the genes that make these cool natural products, we designed algorithms that could search for them, find targets and make the process much more efficient.”

That method also hit a wall of sorts because the algorithms only had eyes for certain types of genes.

“The main algorithms made to find natural products work great, but they are focused on genes related to three canonical backbone enzymes,” says Keller. “There have been incremental improvements to those algorithms, but you can only search the same genomes for similar genes so many times before you are, again, rediscovering the same things.”

In 2005, a community of researchers sequenced the genome of Aspergillus fumigatus, a fungus that can infect people with compromised immune systems.

“The first sequence made the hairs on my arms rise,” Keller says. “There were so many clusters of genes of the type that make these backbone enzymes that produce interesting secondary metabolites. I said, ‘Oh! There’s a lot more natural products in fungi than we ever could have guessed.’”

In subsequent research, Keller’s lab uncovered at least one cluster of genes involved in biochemical processes reliant on a backbone enzyme called isocyanide synthase, which is not one of the three “canonical” enzymes known to be common chemical workhorses across bacteria and fungi.

This month, Nickles, Keller and collaborators published a new study in the journal Nucleic Acids Research in which they describe a new algorithm they created to search fungal genomes for the groups of genes, called biosynthetic gene clusters, that synthesize isocyanide to do their work.

“I ran the new algorithm on every fungal genome that I could find on the internet — about 3,300 species — and found that that this is the fifth-largest class of natural products produce by fungi,” Nickles says. “And it was almost completely invisible prior to this study.”

More than 1,300 fungal species have clusters of genes centered on isocyanide chemistry.

“It’s so likely these gene clusters are producing something useful to the fungus, or it would be hard to explain why these genes are so common and preserved across the genomes of so many species,” says Milton Drott, co-author of the new study and a former member of Keller’s lab now working as a plant pathologist at the U.S. Department of Agriculture’s Cereal Disease Lab. “What we’ve made is an atlas of those gene clusters. You can start to see interesting patterns there that point to where to look first for significant functions.”

Highest on Keller’s list will be clusters in which the surrounding genes are ones known to tailor enzymes for different purposes or transport them to specific locations or “promoter” genes that flip the switch — on or off — for enzyme production based on conditions in their cells.

“We're looking for uniqueness,” says Keller, whose work is supported by the National Institutes of Health and who is co-founder of a company, Terra Bioforge, that makes useful natural products discovered in microbes. “Unique combinations of member genes in a cluster may tell us something about the activity of the structure. But my expectation is that we won’t be the only ones looking.”

The researchers catalogued their fungal findings on a searchable website created by co-author  Brandon Oestereicher, meaning many other labs won’t even have to run an algorithmic search — a resource-heavy process that required the help of UW–Madison’s High Throughput Computing Center.

“Labs with a favorite species of fungus — that’s not unusual for people in our field, that they are focused on a species or a narrow range of species — can look their species up on the website and get enough information on the gene clusters to start their own work on isocyanides,” says Drott.

That research may reveal natural compounds with great benefits to society — antibacterial drugs, pesticides, new catalysts for industrial and pharmaceutical chemistry — but the products and purposes of this new biological chemistry are still largely unknown. Drott’s lab studies members of the fungal genus Fusarium that cause blight in grains like barley and wheat. They also have isocyanide biosynthetic gene clusters.

“This is exciting for our work, because these gene clusters may play a role in that pathogenicity, and they may provide an avenue to control the pathogen,” Drott says. “We know so little about what isocyanides can do, though, that we just don’t know what we will find. At least now we know where to start looking.”

This research was supported by grants from the National Institutes of Health (2R01GM112739-05A1 and T32 GM135066), the National Science Foundation (Graduate Research Fellowship 2137424), and the U.S. Department of Agriculture.

AI enables scientists to monitor impact of farming on biodiversity


UKCEH will use machine learning to identify species from photographs and recordings captured by automated monitoring stations

Business Announcement

UK CENTRE FOR ECOLOGY & HYDROLOGY

AMI trap 

IMAGE: ONE OF THE NEW SOLAR-POWERED AUTOMATED MONITORING OF INSECT (AMI) TRAPS AT A FARM IN EAST NORTHAMPTONSHIRE. view more 

CREDIT: UKCEH




Scientists are using automated wildlife sensors and artificial intelligence (AI) over the next four years to demonstrate the effectiveness of agri-environment and peatland restoration schemes in improving biodiversity.

The UK Centre for Ecology & Hydrology (UKCEH) will be deploying solar-powered biodiversity monitoring stations comprising camera ‘traps’ and acoustic recording equipment at farms across the country to monitor the presence of insects, birds, amphibians, bats and small mammals.

There will be stations at farms that are undertaking practices to reduce emissions, increase carbon capture and support wildlife, such as agroforestry and wildflower hay meadows. Stations will be placed in areas of the farm that do, and do not, have agri-environment measures, and will be used to measure the impacts of these schemes on species populations. They will also be located at degraded peatland areas to compare species populations on farms which remain drained for agricultural use and nearby sites that are being rewetted to provide wetland habitats that support biodiversity and absorb carbon dioxide from the atmosphere.

Researchers will then use AI software to identify species from the photographs or recordings of their calls.

The study is part of AgZero+ which is an ambitious, UKCEH-led five-year research programme supporting the UK’s transition towards domestic food production that is sustainable, carbon-neutral and has a positive effect on nature.

Professor Richard Pywell of UKCEH, who is leading the programme, explained the monitoring study would build on the institute’s long-term research which showed setting aside some land for agri-environment measures had a positive effect on biodiversity and did not affect overall crop yield.

“Mounting evidence suggests that populations of many species of insects, birds and mammals are in sharp decline in the UK and across the world, and a key driver of this change is intensification in agriculture,” he said.

“Using the latest technology, we will monitor species at farms that have different crop and land management practices, to demonstrate how a range of farming systems and agri-environment measures affect populations. Our monitoring will provide scientific evidence to inform sustainable land management policies and practices, which have a positive effect on biodiversity and mitigate climate change while enhancing crop production.”

Initially, automated stations with lighting to attract moths and high-resolution cameras to capture images for subsequent identification via AI are being set up over the summer at 10 sites, with two stations at each. The study will be at four pairs of farms, in Dorset, Wiltshire, Oxfordshire and Northamptonshire, to compare the impact of agri-environment schemes and two peatland sites, one which is being farmed and another which is being restored, in Cambridgeshire.

Moths and their caterpillars are crucial parts of ecosystems, being food sources for birds, bats and other small mammals, and amphibians, so are excellent indicators of biodiversity and quality of habitats. Moths are also important, yet underreported, pollinators of many flowers.

From next year, the stations will also have acoustic equipment to record the calls of bats, birds, amphibians and small mammals, which will then be identified via AI.

UKCEH will redeploy the automated monitoring stations at additional sites across England each year, being in operation between March and October in 2024, 2025 and 2026.

Dr Tom August, a computational ecologist at UKCEH who is overseeing the deployment of the automated biodiversity monitoring stations, explained: “New sensor and AI technology is transforming the way ecologists monitor biodiversity. Automated biodiversity monitoring stations with solar power allow us to monitor wildlife round-the-clock in remote locations without being on site, while AI technologies allow us to process the thousands of images and recordings they produce far faster than a human can.”

UKCEH will present its findings after completion of the four-year study though preliminary data will be available during the project.

Data from the study will support the biodiversity net gain strategy. From November, most developments in England must not only have no overall detrimental impact on biodiversity but enhance it by 10 per cent. Some of the peatland areas that will be studied by UKCEH will include sites being restored to compensate for damage to biodiversity due to development at nearby land.

UKCEH’s biodiversity monitoring stations will create a better understanding of how quickly populations of species respond to peatland restoration, providing important evidence for the wider biodiversity impact of biodiversity net gain.

Ends

 

Media queries

Photos of automated monitoring of insects (AMI) ‘traps’ at sites as part of the project are available on request. For interviews and further information, please contact Simon Williams, Media Relations Officer at UKCEH, via simwil@ceh.ac.uk or +44 (0)7920 295384.

 

Notes to Editors

About AgZero+

This five-year programme brings together a community of researchers and farmers to evaluate innovative farming methods and to define practical pathways to achieving “net zero plus” arable and livestock farm systems. UKCEH is leading implementation of AgZero+ and supporting its operation working in partnership with, Rothamsted Research, British Geological Survey, Plymouth Marine Laboratory, and the National Centre for Earth Observation. Funding is provided by the Natural Environment Research Council and the Biotechnology and Biological Sciences Research Council, which are part of UK Research and Innovation.

agzeroplus.org.uk

 

About the UK Centre for Ecology & Hydrology

The UK Centre for Ecology & Hydrology (UKCEH) is a world-leading centre for excellence in environmental sciences across water, land and air. Our research makes a major contribution to the development of sustainable, productive farming systems that are resilient to climate change and protect biodiversity. We identify key drivers of biodiversity change, develop tools and technologies for monitoring biodiversity, and provide robust socio-economic and environmental solutions for restoring biodiversity.

The UK Centre for Ecology & Hydrology is a strategic delivery partner for the Natural Environment Research Council.

ceh.ac.uk / Twitter: @UK_CEH / LinkedIn: UK Centre for Ecology & Hydrology

Call for papers: Theme issue on artificial intelligence (AI) and human factors—towards successful application of AI in health care


Business Announcement

JMIR PUBLICATIONS

Call for Papers: Theme Issue on Artificial Intelligence (AI) and Human Factors—Towards Successful Application of AI in Health Care 

IMAGE: CALL FOR PAPERS: THEME ISSUE ON ARTIFICIAL INTELLIGENCE (AI) AND HUMAN FACTORS—TOWARDS SUCCESSFUL APPLICATION OF AI IN HEALTH CARE view more 

CREDIT: JMIR PUBLICATIONS




JMIR Human Factors (2023 Impact Factor 2.7) Editor-in-Chief: Andre Kushniruk, BA, MSc, PhD, FACMI and Guest Editor: Elizabeth Borycki RN, PhD, FIAHIS, FACMI, FCAHS welcome submissions to a special theme issue examining "Artificial Intelligence (AI) and Human Factors—Towards Successful Application of AI in Health Care."

This issue will focus on identifying the types of applications, users, and contexts where AI has proven to lead to successful adoption. In addition, there is also a need to identify specific issues related to the broad field of human factors, where numerous challenges have impacted the adoption of AI technologies in health care. Identifying key factors associated with the successful adoption of AI technology will become increasingly critical as innovative AI applications emerge and become more widely deployed.

Considerable advances in research and applications of artificial intelligence (AI) in health care have been made over the past several decades. The contexts of use have diversified, as the focus of AI has shifted from applications for acute care to use in health promotion and applications in the home. However, despite these advances, a range of challenges and human factors issues need to be considered to achieve the full potential of AI applications in clinical and health care settings. 

Submissions may include, but are not limited to, the following areas of research:

  • Human factors of AI applications
  • Usability of AI applications
  • Policy issues in implementing AI in health care
  • Regulatory issues in implementing AI in health care
  • Ethical issues related to the design and implementation of AI in health care (including data privacy)
  • Safety issues with AI in health care
  • Usability or end-user experience with AI
  • AI system adoption in health care
  • Cognition and AI (including automation bias and fairness)
  • Socio-technical aspects of AI in health care
  • Human-centered design and evaluation of AI systems

We welcome original research papers, short communications, viewpoints, and reviews that provide insight into the intersection of AI in health care and human factors. 

The deadline for submissions is October 15, 2023. All accepted manuscripts will be published as part of the JMIR Human Factors special theme issue on “AI and Human Factors.” 

To learn more please visit: https://humanfactors.jmir.org/announcements/394

 

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About JMIR Publications

JMIR Publications is a leading, born-digital, open access publisher of 30+ academic journals and other innovative scientific communication products that focus on the intersection of health and technology. Its flagship journal, the Journal of Medical Internet Research, is the leading digital health journal globally in content breadth and visibility, and it is the largest journal in the medical informatics field.

To learn more about JMIR Publications, please visit https://www.JMIRPublications.com or connect with us via TwitterLinkedInYouTubeFacebook, and Instagram.

Head office: 130 Queens Quay East, Unit 1100, Toronto, ON, M5A 0P6 Canada

Media contact: communications@JMIR.org