The opening ceremony of the 8th Chile Week in Beijing kicked off on Monday. About 200 people attended the ceremony, including Chinese and Chilean representatives from associations, importers and exporters, and media.
Afterward, the annual China-Chile Business Council Meeting was successfully held, at which the President of Chile, Gabriel Boric, encouraged Chinese and Chilean enterprises to enhance understanding and communication, with hopes that more Chinese enterprises make their debut in Chile to research the opportunities and invest in the country.
The Beijing leg of Chile Week boasted both online and offline sessions to showcase Chilean products. Many Chilean enterprises had their high-quality products on display for audiences during the offline business networking "encuentro."
During the livestream broadcast on Douyin, a Chile Week live special sale was held to allow Chinese friends unable to be present offline to buy Chilean goods.
Chile Week is an annual event that serves as a platform for exchanges and interaction between China and Chile on all fronts, as well as an excellent opportunity to strengthen ties between the two countries in agribusiness, seafood, mining, energy, and other strategic sectors.
The first leg of the 8th Chile Week was inaugurated in Shenzhen on October 14, followed by the Chengdu stop on October 15, and the Shanghai leg from Thursday to Friday.
The future of disease tracking is going down the drain — literally. Flushed with success over detecting coronavirus in wastewater, and even specific variants of SARS-CoV-2, the virus that causes COVID-19, researchers are now eyeing our collective poop to monitor a wide variety of health threats.
Before the pandemic, wastewater surveillance was a smaller field, primarily focused on testing for drugs or mapping microbial ecosystems. But these researchers were tracking specific health threats in specific places — opioids in parts of Arizona, polio in Israel — and hadn’t quite realized the potential for national or global public health. Then COVID-19 hit.
The pandemic triggered an “incredible acceleration” of wastewater science, says Adam Gushgari, an environmental engineer who before 2020 worked on testing wastewater for opioids. He now develops a range of wastewater surveillance projects for Eurofins Scientific, a global laboratory testing and research company headquartered in Luxembourg.
A subfield that was once a few handfuls of specialists has grown into more than enough scientists to pack a stadium, he says. And they come from a wide variety of fields — environmental science, analytical chemistry, microbiology, epidemiology and more — all collaborating to track the coronavirus, interpret the data and communicate results to the public. With other methods of monitoring COVID-19 on the decline, wastewater surveillance has become one of health experts’ primary sources for spotting new surges.
Hundreds of wastewater treatment plants across the United States are now part of COVID-19 testing programs, sending their data to the National Wastewater Surveillance System, or NWSS, a monitoring program launched in fall 2020 by the U.S. Centers for Disease Control and Prevention. Hundreds more such testing programs have launched globally, as tracked by the COVIDPoops19 dashboard run by researchers at the University of California, Merced.
In the last year, wastewater scientists have started to consider what else could be tracked through this new infrastructure. They’re looking at seasonal diseases like the flu, recently emerging diseases like bird flu and mpox, formerly called monkeypox, as well as drug-resistant pathogens like the fungus Candida auris. The scientists are even considering how to identify entirely new threats.
Wastewater surveillance will have health impacts “far broader than COVID,” predicts Amy Kirby, a health scientist at the CDC who leads NWSS.
But there are challenges getting from promise to possible. So far, such sewage surveillance has been mostly a proof of concept, confirming data from other tracking systems. Experts are still determining how data from our poop can actually inform policy; that’s true even for COVID-19, now the poster child for this monitoring. And they face public officials wary of its value and questions over whether, now that COVID-19 health emergencies have ended, the pipeline of funding will be cut off.
This monitoring will hopefully become “one of the technologies that really evolves post-pandemic to be here to stay,” says Mariana Matus, cofounder of Biobot Analytics, a company based in Cambridge, Mass., that has tested sewage for the CDC and many other health agencies. But for that to happen, the technology needs continued buy-in from governments, research institutions and the public, Matus and other scientists say.
How wastewater testing works Wastewater-based epidemiology has a long history, tracing back at least to physician John Snow’s 1850s observations that cholera outbreaks in London were connected to contaminated water. In the 1920s and ’30s, scientists began to take samples from sewage and study them in the lab, learning to isolate specific pathogens that cause disease. These early researchers focused on diseases that spread through contaminated water, such as polio and typhoid.
Today, automated machines typically retrieve sewage samples. The machines used to collect waste beneath maintenance hole covers are “like R2-D2 in terms of size” or smaller, says Erin Driver, an environmental engineer at Arizona State University in Tempe who works on collection methods.
Driver can plug this machine, or a larger version used for sampling at wastewater treatment plants, into a water pipe and program it to pull a small amount of sewage into an empty bottle at regular intervals, say, once an hour for 24 hours. She and colleagues are developing smaller versions of the automated sampler that could be better suited for more targeted sampling.
What happens in the lab to that bottle of waste depends on what scientists are testing for. To test for opioids and other chemicals, scientists might filter large particles out of the sample with a vacuum system, extract the specific chemicals that they want to test, then run the results through a spectrometer, an instrument that measures chemical concentrations by analyzing the light the chemicals give off.
To determine levels of SARS-CoV-2 or another virus, a scientist might separate liquid waste from solid waste with a centrifuge, isolate viral genetic material, and then test the results with a PCR machine, similar to testing someone’s nose swab. Or, if scientists want to know which SARS-CoV-2 variants are present, they can put the material through a machine that identifies a variety of genetic sequences.
Would the coronavirus even show up in waste? In the panicked early days of the pandemic, an urgent basic question loomed. “Will this even work?” remembers Marlene Wolfe, an environmental microbiologist at Emory University in Atlanta. While polio is spread through fecal matter, there were early hints that the coronavirus mostly spreads through the air; scientists initially weren’t even sure that it would show up in sewage.
On the same day in 2020 that the San Francisco Bay Area went on lockdown, Wolfe and colleagues at Stanford University, where she was based at the time, got a grant to find out. The team was soon spending hours driving around the Bay Area to collect sewage samples, “navigating lockdown rules” and negotiating special permissions to use lab space, she says.
“We were anxiously waiting to see if our first samples would show a positive result for SARS-CoV-2,” Wolfe says.
Not only did the sewage samples test positive, Wolfe and her colleagues found that coronavirus levels in the Bay Area’s wastewater followed the same trends as reported cases, the team reported in December 2020 in Environmental Science & Technology. When case counts went up, more virus appeared in the sewage, and vice versa. Early projects in other parts of the country showed similar results. More than three years later, data on reported cases have become much less reliable. Fewer people are seeking out lab-based PCR tests in favor of easier-to-access at-home tests — with results often not reported. Wastewater trends have become the best proxy to provide early warnings of potential new COVID-19 surges, such as the increased spread this summer, to health officials and the public alike.
Opening the tracking floodgates In summer 2022, wastewater tracking got a new chance to prove itself. Mpox was rapidly spreading globally, including in the United States. But tests were limited, and the disease, which was spreading primarily through intimate contact between men, quickly drew social stigma, leading some people to hesitate in seeking medical care.
Within a few weeks of the start of the U.S. outbreak, Wolfe and her colleagues, as well as research teams at Biobot and other companies, had developed tests to identify mpox in sewage.
Just as scientists had seen with COVID-19, mpox trends in wastewater matched trends in official case numbers. In California, wastewater results even suggested that the disease may have spread farther than data from doctors’ offices suggested, Wolfe and collaborators reported in February in the New England Journal of Medicine.
Like COVID-19, mpox doesn’t transmit through the water, but sewage testing still picked up the virus. The early results from that summer outbreak convinced some health officials that wastewater technology could be used for many diseases, no matter how they spread, Matus says. Scientists are starting to find more and more infectious diseases that can be tracked in sewage. “Honestly, everything that we’ve tried so far has worked,” says Wolfe, who is now a principal investigator of WastewaterSCAN, a national sewage testing project led by researchers at Stanford and Emory. The project team currently tests samples for six different viruses and is working on other tests that it can send out to the more than 150 sites in its monitoring network.
Through an informal literature review of pathogens important for public health, scientists at Biobot found that previous research had identified 76 out of 80 of them in wastewater, stool or urine, suggesting that those pathogens could be monitored through sewage. The list ranges from the chicken pox virus to the microbes that cause sexually transmitted diseases like chlamydia to the tickborne bacteria that cause Lyme disease.
Finding focus With this much opportunity, the question on many researchers’ minds is not, “What can we test for?” but “What should we test for?”
In January, a report put out by the National Academies of Sciences, Engineering and Medicine came up with three criteria. The pathogen should threaten public health. It should be detectable in wastewater. And it should generate data that public health agencies can use to protect their communities.
Given all the threats and hints of what can be found in wastewater, the first two criteria don’t narrow the field too much. So for now, researchers are taking cues from state and local public health officials on which pathogens to prioritize.
Biobot is working on tests for common diseases like the flu, RSV, hepatitis C and gonorrhea. And the CDC has its eye on some of the same common pathogens, as well as strategies for tracking antimicrobial resistance, a threat that has increased during the pandemic as health systems have been under strain.
Even if they choose the perfect targets, though, researchers also have to figure out how to generate useful data. For now, that’s a sticking point.
How to use the data Tracking pathogens is one thing. But determining how the results correspond to actual numbers of sick people is another, even in the case of COVID-19, where researchers now have years of detailed data. As a result, many public health officials aren’t yet ready to make policy decisions based on poop data.
In New York City over the last three years, for example, the local government has poured more than $1 million into testing for COVID-19, mpox and polio in sewage from the city’s water treatment plants. But the city’s health department hasn’t been using the resulting data to inform local COVID-19 safety measures, so it’s unclear what’s being done with the data. Health officials are used to one swab per person, says Rachel Poretsky, a microbiologist at the University of Illinois Chicago. She also heads wastewater monitoring for the city of Chicago and the state of Illinois.
Public health training relies on identifying individual sick people and tracing how they became ill. But in wastewater surveillance, one data point could represent thousands of sick people — and the data come from the environment, rather than from hospitals and health clinics. What to do next when positive results turn up isn’t as obvious.
Numbers collected from the health care system always represent patients, so a spike indicates a surge in cases. In the case of sewage data, however, environmental factors like weather, local industries and the coming and going of tourists also can create “weird outliers” that resist easy interpretation, Poretsky says. For instance, a massive rainstorm might dilute samples, or chemical runoff from a factory might interfere with a research team’s analytical methods.
Data interpretation only gets more complicated when scientists begin testing wastewater for an increasing number of health threats. Every pathogen’s data need to be interpreted differently.
With coronavirus data, for example, wastewater tests consistently come back positive, so interpreting the data is all about looking for trends: Are viral concentrations going up or down? How does the amount of virus present compare with the past? A spike in a particular location might signal a surge in the community that hasn’t yet been picked up by the health care system. The community might respond by boosting health resources, such as opening vaccine clinics, handing out free masks and at-home tests, or adding staff to local hospital emergency departments.
Mpox, on the other hand, has infected far fewer people, and positive tests have been rare after last summer’s outbreaks ended. Now, researchers are simply watching to see whether the virus is present or absent in a given sewershed.
“It’s more about having an early warning,” Matus says. If a sewershed suddenly tests positive for mpox after negative results for the last few months, health officials might alert local doctors and community organizations to look out for anyone with symptoms, aiming to identify any cases and prevent a potential outbreak.
Another complicated pathogen is C. auris, a fungus that has developed resistance to common drugs. It can spread rapidly in health care settings — and be detected in sewage. Researchers from Utah and Nevada reported in February in Emerging Infectious Diseases that it was possible to track C. auris in the sewage from areas experiencing outbreaks.
If hospitals or health officials could identify the presence of this fungus early, that information could guide public health actions to curb outbreaks, says Alessandro Rossi, a microbiologist at the Utah Public Health Laboratory in Salt Lake City. But interpreting the warnings isn’t as clear-cut for C. auris as for viruses.
The fungus can grow in sewage after it leaves health care facilities, Rossi says. The pathogen has “the potential to replicate, form biofilms and colonize a sewershed.” In other words, C. auris can create its own data interference, potentially making wastewater results seem worse than they really are. Moving wastewater into the future Most current testing programs are reactive. By looking at health threats one at a time using specific PCR tests, the programs mostly confirm that pathogens we already are worrying about are getting people sick.
But some scientists, like Wim Meijer, envision a future in which wastewater monitoring wades into the unknown and alerts us to unusual disease outbreaks. The microbiologist, of the University College Dublin, heads Ireland’s wastewater surveillance program. Ideally, in this ahead-of-the-curve future, after detecting something alarming in sewage, his team could closely collaborate with health officials to study the pathogen and, if necessary, start combating the threat.
One idea for turning the tech proactive is to prepare for new health threats that we can see coming. For example, Meijer and his colleagues are interested in screening Ireland’s sewage for the H5N1 bird flu, but they are not yet doing this testing.
Another approach takes advantage of genetic testing technology to look at everything in our waste. Kartik Chandran, an environmental engineer at Columbia University who has mapped sewers’ microbial ecosystems with this technique, describes it as “trying to shine the light more broadly” rather than looking where the light is already shining brightest.
Such an approach might identify new pathogens before sick people start going to the doctor’s office, potentially leading to an earlier public health response. But with health officials still unsure of how best to use wastewater data, much more basic research is needed first. “People think wastewater surveillance is the answer to everything, and clearly that’s not true,” says Kirby, of the CDC, reflecting concerns from the state and local officials that she collaborates with at NWSS. Before diving ahead into proactive surveillance, Kirby and her colleagues are working to set up basic wastewater standards and protocols for health agencies. Priorities include evaluating how sewage trends correlate to cases for different pathogens and developing standards for how to use the data.
The wastewater surveillance field also needs to keep growing if the goal is to monitor and contribute to global health, with more sites contributing data and more scientists to analyze it. All of this work requires sustained funding.
The CDC’s program so far has been funded by COVID-era legislation and will run out of money in 2025. While wastewater surveillance is more cost-effective than other types of testing, it still requires a lot of resources. Washington’s state health department, for example, paid Biobot more than $500,000 for a one-year sewage testing contract, while the CDC has paid the company more than $23 million since 2020 for its work with NWSS.
For the last few years, wastewater surveillance has been a giant, messy group project. Scientists have collaborated across fields and locations, across private and public institutions, through Zoom calls and through poop samples shipped on ice. They’ve shown that waste might hold the key to a new way of tracking our collective health.
A lot of unanswered questions remain, and it could be some time before your local sewer can tell you exactly what disease risks you might be facing. But COVID-19 pushed thousands of experts to look into their toilets and start asking those questions. “Now, everyone’s a believer,” says Driver, of ASU. “Everyone’s doing the work.”
Bees may need their own supplemental protein shakes as increasing carbon dioxide in the atmosphere saps the nutritional quality of pollen.
Pollen collected from plants gives bees their only natural source of protein (nectar is a sugar-shot for energy). Yet protein content in pollen of a widespread goldenrod species (Solidago canadensis) dwindled by a third, from about 18 percent to 12 percent, over 172 years, according to analysis of recently collected flowers and of preserved specimens at the Smithsonian Institution’s National Museum of Natural History. During those same years, CO2 concentrations in the atmosphere increased from about 280 parts per million to 398 ppm, researchers report April 12 in Proceedings of the Royal Society B. The same themes also showed up in two years of growing the goldenrod at CO2 concentrations up to 500 ppm. More CO2 meant less concentrated protein in pollen, say Lewis Ziska of the U.S. Department of Agriculture’s Bee Research Laboratory in Beltsville, Md., and his colleagues.
“It’s like you’re eating a starchier diet — what would that do to us?” says study coauthor Joan Edwards of Williams College in Williamstown, Mass. “Bees aren’t so different.”
Bees, wild or domesticated, need adequate protein to feed their larvae, maintain their immune systems and for many more functions, says bee biologist Cédric Alaux of the French agricultural research agency INRA in Avignon. Canada goldenrod is an example of a species known to offer pollen that can be stored to tide honeybees over the winter. The one-third decrease in protein concentration reported in the new study is big enough to shorten bee life spans, he says.
Lower quality in bee food sources could be contributing to global bee declines observed in recent years and the uncertain state of pollination for crops, Edwards says. “The health of the bee population is not just for the flowers and the bees and biodiversity, but also for human health and well-being.”
An experimental drug touted as “exercise in a pill” has dramatically increased endurance in couch potato mice, even after a lifetime of inactivity. It appears to work by adjusting the body’s metabolism, allowing muscles to favor burning fat over sugar, researchers report in the May 2 Cell Metabolism.
Sedentary mice prodded into exercising ran for an average of about 160 minutes on an exercise wheel before reaching exhaustion. But mice given the drug for eight weeks could run for 270 minutes on average. These mice were burning fat like conditioned athletes, even though they had spent their whole lives taking it easy, molecular biologist Michael Downes and colleagues found. Normally, running, cycling or other prolonged exercise eventually depletes available glucose in the blood, leaving the brain short of energy. The brain then sends an emergency stop signal. Athletes call this “hitting the wall.” Training and conditioning shift the body to burning fat for energy, leaving an ample supply of glucose for the brain and other organs.
Scientists at the Salk Institute for Biological Studies in La Jolla, Calif., developed the drug to activate a protein that regulates genes triggered during exercise. “We believe it’s tricked the body into thinking it’s done some training,” says Downes.
Called GW501516, the drug has been under study for more than a decade. Previous research had found that it could improve endurance, but only when combined with regular exercise (SN: 7/3/10, p. 18). The goal is not to boost athlete performance, though, but to help those who can’t exercise: people who are sick, disabled or elderly. It may also aid people who are obese or diabetic and do not have the stamina for even short-term exercise, Downes says.
“We know a lot about exercise, but we still don’t know how we obtain all the benefits,” says Rick Vega, a molecular and cellular biologist at Sanford Burnham Prebys Medical Discovery Institute in Orlando, who was not involved in the experiment. He praised the work as adding valuable information to the understanding of exercise and the drug in development. “The next step is really to show this has value in a medical application. To state the obvious, mice are not humans.”
In fishes as familiar as tunas, humans have managed to find some unknown anatomy: a hydraulic system based on lymph.
Often the underdogs of body parts, vertebrate lymph systems can do vital chores such as fight disease but rarely get the attention that blood systems do. Yet it turns out to be lymph, not blood, that rushes into two sickle-shaped tuna fins and fans them wide during complex swimming maneuvers, says Barbara Block of Stanford University. Tuna bodies are relatively “stiff and only wag at the tail,” she says. That’s efficient for long-distance cruising. For zigs and zags, Pacific bluefin and yellowfin tunas get extra control from muscles, bones and lymph tweaking the shape of a fin on the back and its counterpart underneath, Block and colleagues report in the July 21 Science.
Among other tests, the researchers injected a tuna specimen with blue liquid that highlighted a complex of channels near and within the fins. Injecting a saline solution into the channels raised or lowered the fins depending on the pressure. Immunological and other tests confirmed that it’s lymph that changes the fin shape.
Lymph shape-changing also evolved in birds — but in a different way. Lymph, not blood, inflates the penis in ducks, emus, chickens and probably other birds that have such an organ, notes Patricia Brennan of the University of Massachusetts Amherst, who studies the evolution of sexual organs. Whether a male tuna would similarly use lymph, however, is a hypothetical question: Tunas didn’t evolve a penis.
For flowers, too much light at night could lead to a pollination hangover by day.
Far from any urban street, researchers erected street lights in remote Swiss meadows to mimic the effects of artificial light pollution. In fields lit during the night, flowers had 62 percent fewer nocturnal visitors than flowers in dark meadows, researchers report August 2 in Nature.
For one of the most common flowers, daytime pollination didn’t make up for nightly losses, says ecologist Eva Knop of the University of Bern in Switzerland. In a detailed accounting of the pollination life of cabbage thistles (Cirsium oleraceum), Knop and colleagues found that night-lit plants produced 13 percent fewer seeds overall than counterparts in naturally dark places. Night lights could affect the entire network of plants and pollinators, the team suggests. In the test fields, nighttime pollination wasn’t just the business of a few kinds of specialized moth-loving plants. Flowers that fed a wide range of nighttime visitors also attracted a broad buzzing circus of different kinds of daytime pollinators. If the daytime insects don’t make up for nocturnal losses, a flower’s population might dwindle. And a lot of insects, both day and night, might then feel the loss of nectar and foliage, Knop says.
More than 80 percent of flower species get some help from animals in making seeds, and none evolved with light after sundown. “I hope people start to realize that it’s really something that changes the whole ecosystem,” Knop says. The new study is the first to show how artificial light affects plants’ ability to make seeds, she says. The test is also unusual because it considers all kinds of insect pollinators instead of focusing on, say, only night-flying moths. This big-picture view was so not easy to achieve. Finding possible dead-dark sites in highly developed Europe to set up LED lamps was impossible, so researchers worked in 14 dark-as-possible, remote meadows in land rising toward the Alps. But that created a problem. “If you don’t have light, you don’t have power,” Knop points out. To avoid generator growls and smells confounding their results, researchers painstakingly scouted sites where possible near water-powered energy sources and overall used “really long cables.” For the sites with natural night, researchers measured pollination by patrolling set paths and catching any insect wriggling on a flower — in complete darkness, of course. The team used night-vision goggles but still didn’t have a perfect view, she says. It’s “not that easy to catch insects without three-dimensional vision.”
Besides paying special attention to the commonly visited cabbage thistle, researchers pieced together the whole network of which pollinator species visited which plant species day or night. Analysis of this Matterhorn of data suggested that changes in the night crew could affect daytime meadows.
The idea that night light could have broad knock-on effects on daytime pollinators is still speculation at this point, says ecologist Darren Evans of Newcastle University in England, who also studies light pollution and pollination. But the risk of such spillover warrants more attention.
A boy who lived in what’s now South Africa nearly 2,000 years ago has lent a helping genome to science. Using the long-gone youngster’s genetic instruction book, scientists have estimated that humans emerged as a distinct population earlier than typically thought, between 350,000 and 260,000 years ago.
The trick was retrieving a complete version of the ancient boy’s DNA from his skeleton to compare with DNA from people today and from Stone Age Neandertals and Denisovans. Previously documented migrations of West African farmers to East Africa around 2,000 years ago, and then to southern Africa around 1,500 years ago, reshaped Africans’ genetics — and obscured ancient ancestry patterns — more than has been known, the researchers report online September 28 in Science. The ancient boy’s DNA was not affected by those migrations. As a result, it provides the best benchmark so far for gauging when Homo sapiens originated in Africa, evolutionary geneticist Carina Schlebusch of Uppsala University in Sweden and her colleagues conclude.
In line with the new genetically derived age estimate for human origins, another team has proposed that approximately 300,000-year-old fossils found in northwestern Africa belonged to H. sapiens (SN: 7/8/17, p. 6). Some researchers suspect a skull from South Africa’s Florisbad site, dated to around 260,000 years ago, qualifies as H. sapiens. But investigators often place our species’ origins close to 200,000 years ago (SN: 2/26/05, p. 141). There is broad consensus that several fossils from that time represent H. sapiens.
Debate over the timing of human origins will continue despite the new evidence from the child, whose remains came from previous shoreline excavations near the town of Ballito Bay, says Uppsala University evolutionary geneticist and study coauthor Mattias Jakobsson. “We don’t know if early Homo sapiens fossils or the Florisbad individual were genetically related to the Ballito Bay boy,” he says.
Thus, the precise timing of humankind’s emergence, and exact patterns of divergence among later human populations, remain unclear. Researchers have yet to retrieve DNA from fossils dating between 200,000 and 300,000 years old that either securely or possibly belong to H. sapiens. However early human evolution played out, later mixing and mingling of populations had a big genetic impact. DNA evidence from more recent fossils, including those studied by Schlebusch’s group, increasingly suggests that Stone Age human groups migrated from one part of Africa to another and mated with each other along the way (SN: 10/20/12, p. 9), says Harvard Medical School evolutionary geneticist Pontus Skoglund. In the Sept. 21 Cell, he and his colleagues report that DNA from 16 Africans, whose remains date to between 8,100 and 400 years ago, reveals a shared ancestry among hunter-gatherers from East Africa to South Africa that existed before West African farmers first arrived 2,000 years ago.
That ancient set of common genes still comprises a big, varying chunk of the DNA of present-day Khoisan people in southern Africa, Skoglund’s group found. Earlier studies found that the Khoisan — consisting of related San hunter-gatherer and Khoikhoi herding groups — display more genetic diversity than any other human population.
Schlebusch’s team estimates that a genetic split between the Khoisan and other Africans occurred roughly 260,000 years ago, shortly after humankind’s origins and around the time of the Florisbad individual. Khoisan people then diverged into two genetically distinct populations around 200,000 years ago, the researchers calculate.
Ancient DNA in Schlebusch’s study came from seven individuals unearthed at six South African sites. Three hunter-gatherers, including the Ballito Bay boy, lived about 2,000 years ago. Four farmers lived between 500 and 300 years ago.
Comparisons to DNA from modern populations in Africa and elsewhere indicated that between 9 percent and 30 percent of Khoisan DNA today comes from an East African population that had already interbred with Eurasian people. Those East Africans were likely the much-traveled farmers who started out in West Africa and reached southern Africa around 1,500 years ago, the researchers propose.
For Chong Liu, asking a scientific question is something like placing a bet: You throw all your energy into tackling a big and challenging problem with no guarantee of a reward. As a student, he bet that he could create a contraption that photosynthesizes like a leaf on a tree — but better. For the now 30-year-old chemist, the gamble is paying off.
“He opened up a new field,” says Peidong Yang, a chemist at the University of California, Berkeley who was Liu’s Ph.D. adviser. Liu was among the first to combine bacteria with metals or other inorganic materials to replicate the energy-generating chemical reactions of photosynthesis, Yang says. Liu’s approach to artificial photosynthesis may one day be especially useful in places without extensive energy infrastructure.
Liu first became interested in chemistry during high school, and majored in the subject at Fudan University in Shanghai. He recalls feeling frustrated in school when he would ask questions and be told that the answer was beyond the scope of what he needed to know. Research was a chance to seek out answers on his own. And the problem of artificial photosynthesis seemed like something substantial to throw himself into — challenging enough “so [I] wouldn’t be jobless in 10 or 15 years,” he jokes. Photosynthesis is a simple but powerful process: Sunlight helps transform carbon dioxide and water into chemical energy stored in the chemical bonds of sugar molecules. But in nature, the process isn’t particularly efficient, converting just 1 percent of solar energy into chemical energy. Liu thought he could do better with a hybrid system. The efficiency of natural photosynthesis is limited by light-absorbing pigments in plants or bacteria, he says. People have designed materials that absorb light far more efficiently. But when it comes to transforming that light energy into fuel, bacteria shine.
“By taking a hybrid approach, you leverage what each side is better at,” says Dick Co, managing director of the Solar Fuels Institute at Northwestern University in Evanston, Ill.
Liu’s early inspiration was an Apollo-era attempt at a life-support system for manned space missions. The idea was to use inorganic materials with specialized bacteria to turn astronauts’ exhaled carbon dioxide into food. But early attempts never went anywhere.
“The efficiency was terribly low, way worse than you’d expect from plants,” Liu says. And the bacteria kept dying — probably because other parts of the system were producing molecules that were toxic to the bacteria.
As a graduate student, Liu decided to use his understanding of inorganic chemistry to build a system that would work alongside the bacteria, not against them. He first designed a system that uses nanowires coated with bacteria. The nanowires collect sunlight, much like the light-absorbing layer on a solar panel, and the bacteria use the energy from that sunlight to carry out chemical reactions that turn carbon dioxide into a liquid fuel such as isopropanol.
As a postdoctoral fellow in the lab of Harvard University chemist Daniel Nocera, Liu collaborated on a different approach. Nocera had been working on a “bionic leaf” in which solar panels provide the energy to split water into hydrogen and oxygen gases. Then, Ralstonia eutropha bacteria consume the hydrogen gas and pull in carbon dioxide from the air. The microbes are genetically engineered to transform the ingredients into isopropanol or another liquid fuel. But the project faced many of the same problems as other bacteria-based artificial photosynthesis attempts: low efficiency and lots of dead bacteria. “Chong figured out how to make the system extremely efficient,” Nocera says. “He invented biocompatible catalysts” that jump-start the chemical reactions inside the system without killing off the fuel-generating bacteria. That advance required sifting through countless scientific papers for clues to how different materials might interact with the bacteria, and then testing many different options in the lab. In the end, Liu replaced the original system’s problem catalysts — which made a microbe-killing, highly reactive type of oxygen molecule — with cobalt-phosphorus, which didn’t bother the bacteria.
Chong is “very skilled and open-minded,” Nocera says. “His ability to integrate different fields was a big asset.”
The team published the results in Science in 2016, reporting that the device was about 10 times as efficient as plants at removing carbon dioxide from the air. With 1 kilowatt-hour of energy powering the system, Liu calculated, it could recycle all the carbon dioxide in more than 85,000 liters of air into other molecules that could be turned into fuel. Using different bacteria but the same overall setup, the researchers later turned nitrogen gas into ammonia for fertilizer, which could offer a more sustainable approach to the energy-guzzling method used for fertilizer production today.
Soil bacteria carry out similar reactions, turning atmospheric nitrogen into forms that are usable by plants. Now at UCLA, Liu is launching his own lab to study the way the inorganic components of soil influence bacteria’s ability to run these and other important chemical reactions. He wants to understand the relationship between soil and microbes — not as crazy a leap as it seems, he says. The stuff you might dig out of your garden is, like his approach to artificial photosynthesis, “inorganic materials plus biological stuff,” he says. “It’s a mixture.”
Liu is ready to place a new bet — this time on re-creating the reactions in soil the same way he’s mimicked the reactions in a leaf.
Evidence is piling up that much of the universe’s missing matter is lurking along the strands of a vast cosmic web.
A pair of papers report some of the best signs yet of hot gas in the spaces between galaxy clusters, possibly enough to represent the half of all ordinary matter previously unaccounted for. Previous studies have hinted at this missing matter, but a new search technique is helping to fill in the gaps in the cosmic census where other efforts fell short. The papers were published online at arXiv.org on September 15 and September 29. Two independent teams stacked images of hundreds of thousands of galaxies on top of one another to reveal diffuse filaments of gas connecting pairs of galaxies across millions of light-years. Measuring how the gas distorted the background light of the universe let the researchers determine the mass of ordinary matter, or baryons, that it held — the protons and neutrons that make up atoms.
“It’s a very important problem,” says Dominique Eckert of the Max Planck Institute for Extraterrestrial Physics in Garching, Germany, who has searched for the missing matter via X-rays emitted by individual strands. “If you want to understand how galaxies form and how everything forms within a galaxy, you have to understand the evolution of the baryon content.” That starts with knowing where it is.
About 85 percent of the matter in the universe is mysterious, invisible stuff called dark matter, which physicists have yet to find (SN Online: 9/6/17). Weirdly, about half of the ordinary matter is also unaccounted for. When astronomers look around at the galaxies in the nearest few billion light-years, they find only about half the baryons that should have been produced in the Big Bang.
The rest is probably hiding in long filaments of gas that connect galaxy clusters in a vast cosmic web (SN: 3/8/14, p. 8). Previous attempts to find the baryons focused on X-rays emitted by gas in the filaments (SN Online: 8/4/15) or on the light of distant quasars filtering through these cobwebby strands (SN: 5/13/00, p. 310). But those efforts were either inconclusive, or were sensitive to such a narrow range of gas temperatures that they missed much of the matter.
Now there might be a way to find the rest. Two groups — cosmologist Hideki Tanimura, who did the work while at the University of British Columbia in Vancouver, and his colleagues, and Anna de Graaff of the University of Edinburgh and her colleagues — have sought the missing matter in a new way. Both teams found a way to look through the gas all the way back to the oldest light in the universe. “Filamentary gas is very difficult to detect, but now we have a technique to detect it,” says Tanimura, now with the Institute of Space Astrophysics in Orsay, France.
That ancient light, called the cosmic microwave background, was emitted 380,000 years after the Big Bang. When this light passes though clouds of electrons in space — such as those found in filaments of hot gas — it gets deflected and distorted in a specific way. The Planck satellite released an all-sky map of these distortions in 2015 (SN: 3/21/15, p. 7).
Tanimura and de Graaff separately figured that there would be more distortion along the filaments than in empty space. To locate the filaments, both teams chose pairs of galaxies from the Sloan Digital Sky Survey catalog that were at least 20 million light-years apart. De Graaff’s team chose roughly a million pairs, and Tanimura’s team chose 262,864 pairs. Both teams assumed that the galaxies were not part of the same cluster, but that they should be connected by a filament.
The filaments were still too faint to see individually, so the teams used software to layer all the images and subtracted out distortion from electrons in the galaxies to see what was left. Both saw a residual distortion in the cosmic microwave background, which they attribute to the filaments.
Next, de Graaff’s team calculated that those filaments account for 30 percent of the total baryon content of the universe. That’s surely an underestimate, since they didn’t examine every filament in the universe, the team writes — the rest of the missing matter is probably there too.
“Both groups here took the obvious first step,” says Michael Shull of the University of Colorado Boulder, who was not involved in the new studies. “I think they’re on the right track.” But he worries that the gas they see might have been ejected from galaxies at high speeds, and so not actually the missing matter at all.
Eckert also worries that the gas may belong more to the galaxies than to their intergalactic tethers. Future observations of the composition of the gas, as well as more sensitive X-ray observations, could help solve that part of the puzzle.
MINNEAPOLIS — Birds don’t need to be drenched in crude oil to be harmed by spills and leaks.
Ingesting even small amounts of oil can interfere with the animals’ normal behavior, researchers reported November 15 at the annual meeting of the Society of Environmental Toxicology and Chemistry North America. Birds can take in these smaller doses by preening slightly greasy feathers or eating contaminated food, for example.
Big oil spills, such as the 2010 Deepwater Horizon disaster, leave a trail of dead and visibly oily birds (SN: 4/18/15, p. 22). But incidents like last week’s 5,000-barrel spill from the Keystone pipeline — and smaller spills that don’t make national headlines — can also impact wildlife, even if they don’t spur dramatic photos. To test how oil snacks might affect birds, researchers fed zebra finches small amounts of crude oil or peanut oil for two weeks, then analyzed the birds’ blood and behavior. Birds fed the crude oil were less active and spent less time preening their feathers than birds fed peanut oil, said study coauthor Christopher Goodchild, an ecotoxicologist at Oklahoma State University in Stillwater.
Oil-soaked birds will often preen excessively to try to remove the oil, sometimes at the expense of other important activities such as feeding. But in this case, the birds didn’t have any crude oil on their feathers, so the decrease in preening is probably a sign they’re not feeling well, the researchers say.
Exactly how the oil affects the birds’ activity levels isn’t clear. Researchers suspected that oil might deprive birds of oxygen by affecting hemoglobin, which carries oxygen in the blood. Blood tests didn’t turn up any evidence of damaged hemoglobin proteins but did find some evidence that oil-sipping birds might be anemic, Goodchild said. At the higher of two crude oil doses, birds’ blood contained less hemoglobin per red blood cell, a sign of anemia. The findings, while preliminary, add to a growing pile of evidence that estimates of the number of animals impacted by oil spills might be too low. For instance, even a light sheen of oil on sandpipers’ wings makes it harder to fly, costing birds more energy, a different group of researchers reported earlier this year. That could affect everything from birds’ daily movements to long-distance migration.
