Tuesday, September 19, 2023

 

Tall buildings could be built quicker if damping models were correct, study finds


Peer-Reviewed Publication

UNIVERSITY OF BRISTOL




Multi-storey buildings are assembled over cautiously to withstand wind strengths, researchers have found.

This is because there are several difficulties in estimating damping – the method of removing energy in order to control vibratory motion like noise and mechanical oscillation, accurately in high-rise buildings

The findings, published today in the journal Structures, addresses the draw back and were compiled by a team at the University of Bristol who studied the damping and natural frequency characteristics of a 150 m tall building in London (UK) obtained from the full-scale wind-induced responses using a minimal monitoring system.

In general, the response of a structure subjected to dynamic loading is strongly affected by its damping.

Some mathematical damping models have been developed and used for convenience, though they cannot accurately describe the physical process behind them. In fact, the lack of universally accepted principles to predict the damping factors in complex systems has led to the use of predominantly empirical models which cannot be generalised accurately to all types of buildings. As one of the objectives, this research intends to address this drawback by studying the damping

Lead author Daniel Gonzalez-Fernandez from Bristol’s School of Civil, Aerospace, and Design Engineering explained: “After evaluating the identified modal parameters in relation to a series of factors, including time, amplitude, wind speed and wind direction, the dominant effects were found to be amplitude and time in the case of natural frequencies and amplitude in the case of damping ratios.

“The changes in the identified natural frequencies, with the monitoring time and response amplitudes, are attributed to the mass increase under the increasing occupancy and large-amplitude structural softening, respectively.

“The identified trends between the measured total damping and wind speed for different relative wind directions indicate that the amplitude of the lateral building motion, rather than aerodynamic wind characteristics, primarily influence the observed variation in the modal damping.”

The team used a set of three accelerometers and an ultrasonic anemometer to measure the wind-induced vibrations and associated wind conditions on top of the structure over a period of one year since it was first constructed.

The natural frequencies and damping ratios were identified from the estimated acceleration Power Spectral Densities and correlated with the wind data. Several environmental parameters were investigated, including the magnitude and the relative directions of the wind with respect to the building motion. A finite element model of the tower was also employed to support the experimental observations.

 Wind effects are a primary concern in the design of tall buildings. In this context, significant uncertainty can be attributed to important phenomena such as damping and its sources. Additionally, given the complexity of these systems, the underlying predictive models require validation. This is where the in-situ measured modal characteristics, such as the natural frequencies and modal damping, provide an essential resource for model updating.

Daniel said: “For tall buildings, occupant comfort is directly related to wind-induced sway, which can interfere with the occupants’ daily activities and general well-being. In addition, these insights might be applied in future to improve the design and mitigate the negative effects of the vibrations on the structures to enhance their performances, increase their lifespans and reduce failure risk.

“Understanding these issues has become more critical in recent years since there is a trend for tall buildings to become more slender and hence more sensitive to wind-induced vibrations.”

 

Paper:

‘Identification of varying modal parameters of a tall building from the full-scale wind-induced responses’ by Daniel Gonzalez-Fernandez et al in Structures.

 

Study finds the placenta holds answers to many unexplained pregnancy losses


Peer-Reviewed Publication

YALE UNIVERSITY

Study finds the placenta holds answers to many unexplained pregnancy losses 

IMAGE: DOMENIQUE RICE, 33 WEEKS PREGNANT WITH HER FIFTH CHILD, HOLDING A PICTURE FRAME OF HERSELF WITH HER STILLBORN SON TJ. view more 

CREDIT: PHOTOGRAPH BY NANCY BOROWICK




New Haven, Conn. — Yale researchers have shown that placental examination resulted in the accurate pathologic determination of more than 90% of previously unexplained pregnancy losses, a discovery that they say may inform pregnancy care going forward.

The findings were reported Sept. 19 in the journal Reproductive Sciences.

There are approximately 5 million pregnancies per year in the United States, with 1 million ending in miscarriage (a loss occurring prior to 20 weeks of gestation) and over 20,000 ending in stillbirth at or beyond 20 weeks of gestation. As many as 50% of these losses are categorized as “unspecified.”

Patients who suffer such pregnancy outcomes are often told that their loss is unexplained and that they should simply try again, contributing to patients’ feeling of responsibility for the loss, said senior author Dr. Harvey Kliman, a research scientist in the Department of Obstetrics, Gynecology, and Reproductive Sciences at Yale School of Medicine.

“To have a pregnancy loss is a tragedy. To be told there is no explanation adds tremendous pain for these loss families,” said Kliman, who is also director of the Reproductive and Placental Research Unit. “Our goal was to expand the current classification systems to decrease the number of cases that remained unspecified.”

For the study, Kliman worked with Beatrix Thompson, currently a medical student at Harvard University, and Parker Holzer, a former graduate student in Yale’s Department of Statistics and Data Science, to develop an expanded classification system for pregnancy losses based on pathologic examination of loss placentas.

The team started with a series of 1,527 single-child pregnancies that ended in a loss that were sent to Kliman’s consult service at Yale for evaluation. After excluding cases without adequate material for examination, 1,256 placentas from 922 patients were examined. Of these, 70% were miscarriages and 30% were stillbirths.

By adding the explicit categories of “placenta with abnormal development” (dysmorphic placentas) and “small placenta” (a placenta less than the 10th percentile for gestational age) to the existing categories of cord accident, abruption, thrombotic, and infection, for example, the authors were able to determine the pathologic diagnoses for 91.6% of the pregnancies, including 88.5% of the miscarriages and 98.7% of the stillbirths.

The most common pathologic feature observed in unexplained miscarriages were dysmorphic placentas (86.2%), a marker associated with genetic abnormalities. The most common pathologic feature observed in unexplained stillbirths was a small placenta (33.9%).

“This work suggests that the over 7,000 small placentas per year associated with stillbirths could have been detected in utero — flagging those pregnancies as high risk prior to the loss,” said Kliman. “Likewise, the identification of dysmorphic placentas may be one way to potentially identify genetic abnormalities in the almost 1 million miscarriages that occur in our country every year.”

He added, “Having a concrete explanation for a pregnancy loss helps the family understand that their loss was not their fault, allows them to start the healing process, and, when possible, prevent similar losses — especially stillbirths — from occurring in the future.”

When asked what the most effective way might be to prevent stillbirths, Kliman responded, “Measure the placenta!”

 

China global Merged Surface Temperature dataset (CMST) reveals 2023 on Track to Be Hottest Year Ever


Peer-Reviewed Publication

INSTITUTE OF ATMOSPHERIC PHYSICS, CHINESE ACADEMY OF SCIENCES

Observatory 

IMAGE: OBSERVATORY WITH MACAO METEOROLOGICAL AND GEOPHYSICS BUREAU view more 

CREDIT: QINGXIANG LI




The climate crisis is reaching unprecedented levels of urgency as global temperatures soar to record-breaking heights, with July 2023 marking another alarming milestone. United Nations Secretary-General  António Guterres  declared it a "disaster for the whole planet," emphasizing that the era of "global warming" has given way to an era of "global boiling." This alarming assessment is supported by recent findings from Professor Qingxiang Li 's team at the School of Atmospheric Sciences, Sun Yat-sen University, based on the China global Merged Surface Temperature dataset 2.0 (CMST 2.0). Prof. Li is also a distinguished research fellow at the Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences.

Unprecedented Monthly Highs since May

Professor Qingxiang Li 's team analyzed the CMST 2.0 dataset and discovered that 2023 has already experienced the third hottest first half-year since records began, narrowly trailing behind the warmest year in 2016 and the second warmest in 2020. The global mean sea surface temperatures (SSTs) surged to an all-time high in April, while global mean land surface air temperatures followed suit by reaching their second-highest monthly level in June. This combination resulted in May being crowned the hottest month ever recorded for global mean surface temperatures.

The research further reveals that global surface temperatures continue to rise into the second half of 2023, driven by factors including El Niño and widespread wildfires. Both global mean SSTs and global mean land surface air temperatures reached unprecedented highs for July, shattering previous records. Given the current trajectory and short-term forecast results of El Niño, along with the extremely positive phase of the Atlantic Multidecadal Oscillation (AMO), which strongly influences global surface temperatures, 2023 is on track to become the hottest year on record. Moreover, 2024 may witness even higher global surface temperatures.

The research is published as a News&Views article on September 19 in Advances in Atmospheric Sciences.

The CMST 2.0 Dataset - A Global Benchmark

The CMST 2.0 dataset, developed by Professor Li Qingxiang's team, stands as the most comprehensive global surface temperature benchmark dataset to date. It incorporates data from China, filling a critical gap in global temperature monitoring. The dataset integrates over a century's worth of global land surface air temperature data and incorporates state-of-the-art research from across the globe, resulting in an invaluable resource for climate scientists and policymakers. In 2022, the dataset was expanded to include Arctic surface temperature data, enhancing its global coverage.

Accessible to both the scientific community and the general public, the CMST 2.0 dataset is freely available on the Global Climate Change Observation and Modeling Data Platform at http://www.gwpu.net/en/.

Understanding the Complex Factors behind Global Warming

While human activities, including greenhouse gas emissions, are the primary drivers of long-term global warming, short-term variations are influenced by internal climate system changes such as El Niño and the Pacific Decadal Oscillation (PDO). As global warming accelerates, the likelihood of extreme weather events and disasters increases, necessitating urgent action.

Global warming also has profound regional impacts, manifesting in extreme temperature fluctuations. For instance, in East Asia, circulation anomalies like the North Atlantic Oscillation (NAO) have led to frequent extreme cold events in winter, offsetting the overall rise in average temperatures. However, the rise in summer maximum temperatures and the decline in winter minimum temperatures result in larger fluctuations in extreme temperatures.

Furthermore, the pace of human discomfort due to rapid temperature increases, particularly in low-latitude regions, is a growing concern that demands our attention. The CMST 2.0 dataset and Professor Qingxiang Li's team's research underscore the urgency of addressing the climate crisis. 

 

Yogurt may be the next go-to garlic breath remedy


Study finds proteins in particular have strong deodorizing effect


Peer-Reviewed Publication

OHIO STATE UNIVERSITY




COLUMBUS, Ohio – It turns out yogurt may have a previously unknown benefit: eliminating garlic odors.

A new study conducted in a lab – with follow-up human breath tests being planned – showed that whole milk plain yogurt prevented almost all of the volatile compounds responsible for garlic’s pungent scent from escaping into the air.

Researchers tested the garlic deodorizing capacity of yogurt and its individual components of water, fat and protein to see how each stood up to the stink. Both fat and protein were effective at trapping garlic odors, leading the scientists to suggest high-protein foods may one day be formulated specifically to fight garlic breath.

“High protein is a very hot thing right now – generally, people want to eat more protein,” said senior study author Sheryl Barringer, professor of food science and technology at The Ohio State University.

“An unintended side benefit may be a high-protein formulation that could be advertised as a breath deodorizer in addition to its nutritional claims,” she said. “I was more excited about the protein’s effectiveness because consumer advice to eat a high-fat food is not going to go over well.”

The study was published recently in the journal Molecules.

Barringer has a history of identifying foods that can combat garlic breath, among them apples, mint and lettuce and milk, thanks to their enzymes and fat, respectively, that snuff out the sulfur-based compounds that cause garlic’s persistent smell.

After encountering speculation that yogurt might have a deodorizing effect, Barringer and first author Manpreet Kaur, a PhD student in her lab, decided to check it out.

For each treatment experiment, the researchers placed equal amounts of raw garlic in glass bottles and confirmed the cluster of offending sulfur-based volatiles were released in concentrations that would be detected by the human nose. They used mass spectrometry to measure levels of the volatile molecules in gaseous form present before and after each treatment.

Results showed that yogurt alone reduced 99% of the major odor-producing raw garlic volatiles. When introduced separately, the fat, water and protein components of yogurt also had a deodorizing effect on raw garlic, but fat and protein performed better than water.

In the case of fat, a higher quantity of butter fat was more effective at deodorization. The proteins studied included different forms of whey, casein and milk proteins, all of which were effective at deodorizing garlic – likely because of their ability to trap the volatile molecules before they were emitted into the air. A casein micelle-whey protein complex performed the best.

“We know proteins bind flavor – a lot of times that’s considered a negative, especially if a food with high protein has less flavor. In this case, it could be a positive,” Barringer said.

Additional experiments involving changing the pH of the yogurt to make it less acidic – from 4.4 pH to 7 pH – reduced the yogurt’s deodorization effect on the garlic. Changing the pH of water, on the other hand, did not make any difference in water’s deodorization effect.

“That’s telling me it goes back to those proteins, because as you change pH you change the configuration of proteins and their ability to bind. That said we definitely should be looking at these proteins,” Barringer said. “It probably depends on the protein, as well, because different proteins react differently to pH. So that may be an important thing as we look at other proteins for their garlic deodorization effect.”

Barringer and Kaur tested the deodorizing effect of yogurt and its separate components on fried garlic as well, and in the process, they discovered that frying garlic alone significantly reduces most of garlic’s odor-causing volatile compounds. Yogurt and its individual ingredients neutralized a lower percentage of volatile compounds of fried garlic compared to raw garlic, presumably because there were fewer volatiles to trap than were present in the raw cloves, the researchers theorized.

The findings are a good foundation for future studies analyzing a variety of proteins that might be formulated into the perfect garlic-breath-reducing product and seeking to verify yogurt’s ability to curb actual garlic breath in people.

In the meantime, Barringer predicts that Greek yogurt, with a higher-protein profile than the whole milk plain yogurt used in the study, may be particularly effective at getting rid of garlic breath. Fruit-flavored yogurts will probably work, too, she said – and whatever is used, it must quickly follow ingestion of raw garlic.

“With apples, we have always said to eat them immediately,” she said. “The same with yogurt is presumed to be the case – have your garlic and eat the yogurt right away.”

#

Contact: Sheryl Barringer, Barringer.11@osu.edu

Written by Emily Caldwell, Caldwell.151@osu.edu; 614-292-8152

 

New recipes for origin of life may point way to distant, inhabited planets


A team led by scientists at UW–Madison has exploited those limitations of chemical combinations to write a cookbook with hundreds of recipes that have the potential to give rise to life


Peer-Reviewed Publication

UNIVERSITY OF WISCONSIN-MADISON

autocatalysis.jpg 

IMAGE: LIFE REQUIRES REPETITION OF CHEMICAL REACTIONS. DESCRIBING THE KINDS OF REACTIONS AND CONDITIONS REQUIRED FOR SELF-SUSTAINING REPETITION — CALLED AUTOCATALYSIS — COULD FOCUS THE SEARCH FOR LIFE ON OTHER PLANETS. view more 

CREDIT: BETÜL KAÇAR





Life on a faraway planet — if it’s out there — might not look anything like life on Earth. But there are only so many chemical ingredients in the universe’s pantry, and only so many ways to mix them. A team led by scientists at the University of Wisconsin–Madison has exploited those limitations to write a cookbook of hundreds of chemical recipes with the potential to give rise to life.

Their ingredient list could focus the search for life elsewhere in the universe by pointing out the most likely conditions — planetary versions of mixing techniques, oven temperatures and baking times — for the recipes to come together.

The process of progressing from basic chemical ingredients to the complex cycles of cell metabolism and reproduction that define life, the researchers say, requires not only a simple beginning but also repetition.

“The origin of life really is a something-from-nothing process,” says Betül Kaçar, a NASA-supported astrobiologist and UW–Madison professor of bacteriology. “But that something can’t happen just once. Life comes down to chemistry and conditions that can generate a self-reproducing pattern of reactions.”

Chemical reactions that produce molecules that encourage the same reaction to happen again and again are called autocatalytic reactions. In a new study published Sept. 18 in the Journal of the American Chemical Society, Zhen Peng, a postdoctoral researcher in the Kaçar laboratory, and collaborators compiled 270 combinations of molecules — involving atoms from all groups and series across the periodic table — with the potential for sustained autocatalysis.

“It was thought that these sorts of reactions are very rare,” says Kaçar. “We are showing that it's actually far from rare. You just need to look in the right place.”

The researchers focused their search on what are called comproportionation reactions. In these reactions, two compounds that include the same element with different numbers of electrons, or reactive states, combine to create a new compound in which the element is in the middle of the starting reactive states.

To be autocatalytic, the outcome of the reaction also needs to provide starting materials for the reaction to occur again, so the output becomes a new input says Zach Adam, a co-author of the study and a UW–Madison geoscientist studying the origins of life on Earth. Comproportionation reactions result in multiple copies of some of the molecules involved, providing materials for the next steps in autocatalysis.

“If those conditions are right, you can start with relatively few of those outputs,” Adam says. “Every time you take a turn of the cycle you spit out at least one extra output which speeds up the reaction and makes it happen even faster.”

Autocatalysis is like a growing population of rabbits. Pairs of rabbits come together, produce litters of new rabbits, and then the new rabbits grow up to pair off themselves and make even more rabbits. It doesn’t take many rabbits to soon have many more rabbits.

Looking for floppy ears and fuzzy tails out in the universe, however, probably isn’t a winning strategy. Instead, Kaçar hopes chemists will pull ideas from the new study’s recipe list and test them out in pots and pans simulating extraterrestrial kitchens.

“We will never definitively know what exactly happened on this planet to generate life. We don't have a time machine,” Kaçar says. “But, in a test tube, we can create multiple planetary conditions to understand how the dynamics to sustain life can evolve in the first place.”

Kaçar leads a NASA-supported consortium called MUSE, for Metal Utilization & Selection Across Eons. Her lab will focus on reactions including the elements molybdenum and iron, and she is excited to see what others cook up from the most exotic and unusual parts of the new recipe book.

“Carl Sagan said if you want to bake a pie from scratch, first you must create the universe,” Kaçar says. “I think if we want to understand the universe, first we must bake a few pies.”

This research was funded in part by grants from NASA Astrobiology Program (80NSSC22K0546), the John Templeton Foundation (62578 and 61926), the Research Corporation for Science Advancement (28788) and the Australian Research Council (DP210102133 and FT220100757).

How does smoking tobacco and cannabis affect depression risk?


Peer-Reviewed Publication

UNIVERSITY OF CALIFORNIA - SAN FRANCISCO





People who use both cannabis and tobacco have significantly higher rates of depression and anxiety than those who use either substance alone or not at all, according to a new study by UC San Francisco researchers.

The study, published Sept. 13, 2023 in the online journal PLOS ONE, comes amid expanding legalization of cannabis products, resulting in more dual use with tobacco nationwide. Earlier studies relied on data collected before the legalization trend, prompting the need for a new analysis.

Understanding the association between the use of both drugs and mental health could lead to more effective prevention and treatment options, the paper’s authors said.

“We provide mental health treatment, but it’s not linked with support for cannabis and tobacco cessation,” said the paper's lead author, Nhung Nguyen, PhD, assistant professor in the Division of General Internal Medicine at Zuckerberg San Francisco General Hospital and Trauma Center and a researcher with UCSF’s Center for Tobacco Control Research and Education. “We cannot provide tobacco cessation without addressing mental health or without considering cannabis use. These comorbidities are closely linked to tobacco use.”

A harmful combination

In conducting this study, the researchers were able to tap into an existing data source: the COVID-19 Citizen Science Study – a mobile app developed by UCSF researchers that contained a wealth of data, including mental health status and substance use, collected from participants around the country through online surveys.

They analyzed responses from 53,843 Americans from March 2020 to April 2022 who answered questions about tobacco and cannabis use over a 30-day period, and paired this with monthly assessments of the participants’ mental health status 

Among people who used both substances, 26.5% reported anxiety and 28.3% reported depression. Percentages of anxiety and depression were only 10.6% and 11.2% in people who used neither substance. Those who only used tobacco had higher rates of anxiety and depression than those who did not.

The study did not delve into whether mental health conditions are exacerbated or triggered by tobacco or cannabis use or vice versa.

"Some believe that cannabis might mitigate against the ill effects of tobacco,” said the paper’s senior author, Gregory Marcus, MD, MAS, professor of medicine and associate chief of research for the Division of Cardiology, “But, these data suggest the combination is particularly harmful to mental health.”

Authors: Additional UCSF authors include Pamela Ling, MD, MPH, Noah Peyser, PhD, Jeffrey Olgin, MD, Mark Pletcher, MD, MPH, Alexis Beatty, MD, MAS, and Madelaine Modrow, MPH.

Funding and disclosures: The research is supported by the California Tobacco-Related Disease Research Program (grants T31FT1564 and T32KT5071) and the National Center for Advancing Translational Sciences, National Institutes of Health, through UCSF Clinical and Translational Science Institute (grant UL1 TR001872-06). The authors have no conflicts of interest to disclose.

 

About UCSF: The University of California, San Francisco (UCSF) is exclusively focused on the health sciences and is dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. UCSF Health, which serves as UCSF's primary academic medical center, includes top-ranked specialty hospitals and other clinical programs, and has affiliations throughout the Bay Area. UCSF School of Medicine also has a regional campus in Fresno. Learn more at https://ucsf.edu, or see our Fact Sheet.

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Tiny sea creatures reveal the ancient origins of neurons


Our brain cell components were forming in shallow seas around 800 million years ago

Peer-Reviewed Publication

CENTER FOR GENOMIC REGULATION

Image of placozoans used in the study 

IMAGE: CONFOCAL MICROSCOPY IMAGE OF NUCLEI, COLOURED BY DEPTH, OF TRICHOPLAX SP. H2, ONE OF THE FOUR SPECIES OF PLACOZOAN FOR WHICH THE AUTHORS OF THE STUDY CREATED A CELL ATLAS FOR. view more 

CREDIT: SEBASTIAN R. NAJLE/CENTRO DE REGULACIÓN GENÓMICA




A study in the journal Cell sheds new light on the evolution of neurons, focusing on the placozoans, a millimetre-sized marine animal. Researchers at the Centre for Genomic Regulation in Barcelona find evidence that specialized secretory cells found in these unique and ancient creatures may have given rise to neurons in more complex animals. 

Placozoans are tiny animals, around the size of a large grain of sand, which graze on algae and microbes living on the surface of rocks and other substrates found in shallow, warm seas. The blob-like and pancake-shaped creatures are so simple that they live without any body parts or organs. These animals, thought to have first appeared on Earth around 800 million years ago, are one of the five main lineages of animals alongside Ctenophora (comb jellies), Porifera (sponges), Cnidaria (corals, sea anemones and jellyfish) and Bilateria (all other animals). 

The sea creatures coordinate their behaviour thanks to peptidergic cells, special types of cells that release small peptides which can direct the animal’s movement or feeding. Driven by the intrigue of the origin of these cells, the authors of the study employed an array of molecular techniques and computational models to understand how placozoan cell types evolved and piece together how our ancient ancestors might have looked and functioned. 

Reconstructing ancient cell types 

The researchers first made a map of all the different placozoan cell types, annotating their characteristics across four different species. Each cell type has a specialised role which comes from certain sets of genes. The maps or ‘cell atlases’ allowed researchers to chart clusters or ‘modules’ of these genes. They then created a map of the regulatory regions in DNA that control these gene modules, revealing a clear picture about what each cell does and how they work together. Finally, they carried out cross-species comparisons to reconstruct how the cell types evolved. 

The research showed that the main nine cell types in placozoans appear to be connected by many "in-between" cell types which change from one type to another. The cells grow and divide, maintaining the delicate balance of cell types required for the animal to move and eat. The researchers also found fourteen different types of peptidergic cells, but these were different to all other cells, showing no in-between types or any signs of growth or division. 

Surprisingly, the peptidergic cells shared many similarities to neurons – a cell type which didn’t appear until many millions of years later in more advanced animals such as and bilateria. Cross-species analyses revealed these similarities are unique to placozoans and do not appear in other early-branching animals such as sponges or comb jellies (ctenophores). 

Evolutionary stepping stones 

The similarities between peptidergic cells and neurons were threefold. First, the researchers found that these placozoan cells differentiate from a population of progenitor epithelial cells via developmental signals that resemble neurogenesis, the process by which new neurons are formed, in cnidaria and bilateria. 

Second, they found that peptidergic cells have many gene modules required to build the part of a neuron which can send out a message (the pre-synaptic scaffold). However, these cells are far from being a true neuron, as they lack the components for the receiving end of a neuronal message (post-synaptic) or the components required for conducting electrical signals.  

Finally, the authors used deep learning techniques to show that placozoan cell types communicate with each other using a system in cells where specific proteins, called GPCRs (G-protein coupled receptors), detect outside signals and start a series of reactions inside the cell. These outside signals are mediated by neuropeptides, chemical messengers used by neurons in many different physiological processes. 

“We were astounded by the parallels," says Dr. Sebastián R. Najle, co-first author of the study and postdoctoral researcher at the Centre for Genomic Regulation. "The placozoan peptidergic cells have many similarities to primitive neuronal cells, even if they aren't quite there yet. It's like looking at an evolutionary stepping stone." 

The dawn of the neuron 

The study demonstrates that the building blocks of the neuron were forming 800 million years ago in ancestral animals grazing inconspicuously in the shallow seas of ancient Earth. From an evolutionary point of view, early neurons might have started as something like the peptidergic secretory cells of today’s placozoans. These cells communicated using neuropeptides, but eventually gained new gene modules which enabled cells to create post-synaptic scaffolds, form axons and dendrites and create ion channels that generate fast electrical signals – innovations which were critical for the dawn of the neuron around one hundred million years after the ancestors of placozoans first appeared on Earth. 

However, the complete evolutionary story of nerve systems is still to be told. The first modern neuron is thought to have originated in the common ancestor of cnidarians and bilaterians around 650 million years ago. And yet, neuronal-like cells exist in ctenophores, although they have important structural differences and lack the expression of most genes found in modern neurons. The presence of some of these neuronal genes in the cells of placozoans and their absence in ctenophores raises fresh questions about the evolutionary trajectory of neurons. 

“Placozoans lack neurons, but we’ve now found striking molecular similarities with our neural cells. Ctenophores have neural nets, with key differences and similarities with our own. Did neurons evolve once and then diverge, or more than once, in parallel? Are they a mosaic, where each piece has a different origin? These are open questions that remain to be addressed”, says Dr. Xavier Grau-Bové, co-first author of the study and postdoctoral researcher at the Centre for Genomic Regulation. 

The authors of the study believe that, as researchers around the world continue to sequence high-quality genomes from diverse species, the origins of neurons and the evolution of other cell types will become increasingly clear. “Cells are the fundamental units of life, so understanding how they come into being or change over time is key to explain the evolutionary story of life. Placozoans, ctenophores, sponges and other non-traditional model animals harbour secrets that we are only just beginning to unlock,” concludes ICREA Research Professor Arnau Sebé-Pedros, corresponding author of the study and Junior Group Leader at the Centre for Genomic Regulation.

Video of placozoan moving unde [VIDEO] |