The potential of insects as a new protein source for humans through livestock consumption

In the late 1990s, when I was studying for my PhD, I read an article touting the “next big thing” in the food sector. To be honest, the next highlight didn’t seem very appetizing. Apparently, within the next 10 years, we’ll all be eating Beetleburgers.

Entomophagy, the eating of insects, is common in many parts of the world. Considering the ethical issues of livestock farming, the article boldly proclaimed that insect farms are the future of food.

Insects raised without welfare issues are excellent at converting foodstuffs that are unavailable to us into proteins that we can use. Additionally, they require far less space than livestock and produce far fewer greenhouse gas emissions than cows.

But despite some obvious benefits, a quarter of a century later, customers in developed countries still aren’t eating flies or baking with beetles. The reason is obvious. More than 1,000 species of insects are eaten around the world, most commonly in the tropics, but Western societies generally do not eat “bugs.”

Like the bushtucker trial I’m a Celebrity Get Me Out of Here Eating insects is a repulsive idea to many people.

A piglet eats food made from black soldier fly larvae in the animal house at the University of Bologna. – Photo credit: Luigi Avantaggiato

Articles extolling the virtues of eating insects continue to appear frequently in the media. And while the headlines often feature shock values, authors are increasingly focusing on the ethical and climate-friendly aspects of insect farming.

If you look beyond the headline ‘Grasshoppers for Beginners’, you’ll quickly see that insects are already well-positioned to play a more important role in our food chain. Instead of eating fried grasshoppers with a side salad of mealworms, we’re developing better ways than ever to use insects as food for our favorite animals.

Insects could be a protein-rich game changer

The star of this insect animal feed revolution is the black soldier fly (Hermesia Illuscens). Adults are only about 16 mm (about 0.5 inches) long and resemble small, independent wasps. But soldier flies don’t have stingers and don’t sting, so this mimicry is just an evolutionary ploy.

A widely distributed species, the key to the black soldier fly’s importance is its larvae. This is because black soldier fly larvae are “non-selective” feeders. This is a polite way of saying that you will eat almost anything.

Black soldier fly larva. – Photo credit: Luigi Avantaggiato

They thrive on all kinds of food, from manure to animal and vegetable food waste. This property makes it excellent for waste disposal. For this alone, the flight of black soldiers is beneficial to us, but only before we turn them into animal feed.

The waste treatment process is called “ento remediation” and uses large chambers called bioconverters that house large numbers of black soldier fly larvae. These larvae consume food and other organic waste, producing soil-like organic residue that can be used as a rich fertilizer.

Inside the bioconverter, the larvae grow rapidly, and more than 50 percent of the weight they gain is protein. Once they reach the pupal stage (the stage of metamorphosis into an adult), they reach their nutritional peak. At this point, it has already helped convert the waste into fertilizer, which can be harvested and used as animal feed.

Bioconverter at the BEF Biosystem facility in Alessandria, Italy. – Photo credit: Luigi Avantaggiato

Insect animal feed can replace traditional animal feed, which often relies on soybean meal. Soybeans have a high environmental cost due to the land and water required to grow them and the resources required for transportation.

Although much of the research on animal feed production has focused on feeding livestock such as pigs and chickens, the black soldier fly is also attracting attention as a food source for farmed fish. Currently, the majority of feed for farmed fish often consists of fishmeal. Fishmeal is also used as livestock feed and is made by drying and crushing fish.

While this makes good use of fish parts we don’t eat and bycatch that can’t be returned to the ocean, fishmeal production can promote overfishing and the decline of fragile marine ecosystems.

Replacing fishmeal with sustainably farmed insects could revolutionize this important aspect of marine conservation.

Desert locusts (grasshoppers) raised for animal feed at the Italian Cricket Farm in Turin, Italy – Photo credit: Luigi Avantaggiato

From pet food to human food

However, black fruit flies are not the only species raised as animal feed. Some species of locusts breed very well and are relatively easy to maintain.

Insects are small and do not require much space, so it is possible to keep them under strictly controlled conditions to optimize their growth and reproduction. Those who keep reptiles are probably familiar with house crickets (Aketa Domestic). These light brown crickets are widely grown as pet food, but their potential as a source of protein for livestock is also attracting attention.

These insects may also eventually become a more direct part of our diet. The Italian Cricket Farm in Turin, Italy, is investigating the possibility of processing crickets into a protein-rich “insect flour” that can be incorporated into our food products. Currently awaiting European food safety approval, it is precisely this type of processing that could become a culturally acceptable way for insects to enter our diets.

In fact, crickets are quite delicious even when eaten without being processed into flour. A few years ago I ran an insect-eating workshop at the Cheltenham Science Festival. At that time, a local chef prepared a series of dishes for people to try. Beer-battered fried brown crickets sandwiched between sage leaves were a snack that people tried at first out of curiosity, but were so delicious they returned within seconds.

After digesting organic waste at the BEF Biosystem facility in Alessandria, Italy, black soldier fly larvae are harvested and turned into animal feed. Digested organic waste is used as soil fertilizer – Photo credit: Luigi Avantaggiato

Cricket farms in Italy produce around 200,000 crickets a year, which can be scaled up relatively easily. The production efficiency of crickets is amazing. Every 1 kg (2.2 lb) of crickets requires only 1.7 kg (3.7 lb) of feed to produce. Compare this to the 10 kg (22 lb) of feed required to produce 1 kg of beef and the benefits are clear.

Additionally, the final product is incredibly nutritious, containing twice the protein of beef, as well as a variety of vitamins, minerals, fatty acids, and other nutrients.

Changing tastes and ethics

As with any new idea in food production, potential disadvantages must be carefully considered.

It is clear that what an animal eats can influence the quality of the meat that is subsequently produced. Research on this is ongoing, but data so far suggests that while insect diets can affect the fatty acid content of meat, these changes have no negative impact in terms of taste and are not noticeable. It has been shown that this is not the case.

Another important issue to ponder is the ethics of raising insects. Ethical concerns about animal use are complex and change in response to changes in society and our scientific understanding.

Over the past few decades, we have seen much higher welfare standards introduced into livestock farming than were thought necessary in the past, but many would argue that there is still a long way to go.

These welfare advances have focused primarily on mammals, secondarily on poultry, and to a lesser extent on fish. However, insects are not mentioned at all in ethical discussions about animal use.

Black soldier flies are kept in an “aviary” at the Bug’s Life farm in Perugia, Italy, to encourage breeding. – Photo credit: Luigi Avantaggiato

In fact, we tend to think that insects cannot feel pain or suffering. However, this view is beginning to change.

We are beginning to learn more about the internal world of insects, and are discovering that they may be able to feel what we perceive as pain. Although this is an emerging field of research, the conclusion is that we may need to rethink the way we think about insects in many cases.

Having said that, I think it is actually very unlikely that we will change our views until insects are given the same welfare measures as “traditional” farm animals. The biggest advantage of using insects for food, either directly or through animal feed, is that they are environmentally friendly.

Dredging oceans for fishmeal and growing soybeans for protein feed are environmentally harmful, associated with high carbon costs and habitat loss or degradation.

On the other hand, raising insects has the potential to significantly reduce environmental impact. They occupy less space, use fewer resources to produce more protein, can utilize waste produced by humans, and do not rely on habitat development or displacement.

Crane fly cakes and locust bread may not be on your plate anytime soon, but insect-raised pork, chicken and beef certainly will be. Maybe that article from 25 years ago was onto something after all. Insects may really be the future of food.

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Source: www.sciencefocus.com

More than 100 genes that set humans apart

Researchers at the University of Toronto have discovered more than 100 uniquely evolved genes in the human brain, providing insight into human cognitive abilities. This study, using single-cell analysis, contributes to the Human Cell Atlas and provides new perspectives on brain evolution and associated diseases.

The researchers discovered 139 genes that are common across primate groups, but whose expression differs greatly in the human brain.

An international team led by researchers at the University of Toronto has discovered more than 100 genes that are common in primate brains but whose evolutionary divergence only occurred in humans. These genes may be the source of our unique cognitive abilities.

Researchers led by Associate Professor Jesse Gillis from the Donnelly Center for Cellular and Biomolecular Research and the Department of Physiology at Temerty University School of Medicine found that genes are expressed differently in the human brain compared to four of our relatives, including the chimpanzee, gorilla, macaque, and marmoset.

The survey results are natural ecology and evolution, suggesting that reduced selective pressure, or resistance to loss-of-function mutations, may have enabled the gene to acquire higher levels of cognitive ability. This research is part of the Human Cell Atlas, a global effort to map every human cell to better understand health and disease.

Comparative study of primate brains

“This study not only contributes to our understanding of brain differences between humans and other primates at a cellular level, but also creates a database that can be used to further characterize genetic similarities and differences between primates. I did,” Gillis said.

A team including researchers from the Cold Spring Harbor Laboratory and the Allen Institute for Brain Science in the US created brain maps for each primate. seed It is based on single-cell analysis, a relatively new technology that allows for more specific gene sequencing than standard methods. They used the BRAIN Initiative Cell Census Network (BICCN) dataset, which was created from samples taken from the middle temporal gyrus of the brain.

Insights into cognitive evolution

In total, the researchers discovered 139 genes that are common across primate groups but are expressed very differently in the human brain. These genes exhibit a strong ability to tolerate mutations without affecting function, suggesting that they may have evolved under more relaxed selective pressures.

“Genes that diverge within humans must endure change,” says Hamsini Suresh, lead author of the study and a researcher at the Donnelly Center. “This appears to be a resistance to loss-of-function mutations, enabling rapid evolutionary changes in the human brain.”

Our advanced cognitive functions may be the result of human brain cells adaptively evolving into a number of less threatening mutations over time. It is also noteworthy that about a quarter of the human divergent genes identified in this study are associated with various brain diseases.

Brain cell types and gene expression

The diverse genes the researchers identified are present in 57 types of brain cells, grouped by inhibitory neurons, excitatory neurons, and non-neurons. A quarter of the genes were differentially expressed only within nerve cells, also known as gray matter, and half were differentially expressed only within glial cells, which are white matter.

The gray matter of the brain is made up of neurons, while the white matter is made up of other types of cells, such as those responsible for blood vessel structures and immune function.

Expanding the human cell atlas

This research is part of BICCN’s efforts to identify and catalog the diverse cell types in the brains of humans and other species. In 2021, the consortium published in Nature a comprehensive survey of cell types in the primary motor cortex of mice, monkeys, and humans. This effort is to shed light on the evolution of the brain by studying neurotransmission and communication at the highest resolution.

Evolution and disease research

“There are approximately 570,000 cells in the Interprimate Single Cell Atlas of the Middle Temporal Gyrus,” Suresh said. “Defining a catalog of shared cell types in this region of the brain provides a framework for investigating the conservation and divergence of cellular architecture across primate evolution.” , we can study evolution and disease in a more targeted way.”

Reference: “Comparative analysis of single-cell transcriptomes in primate brains reveals human-specific regulatory evolution” Hamsini Suresh, Megan Crow, Nikolas Jorstad, Rebecca Hodge, Ed Lein, Alexander Dobin, Trygve Bakken , by Jesse Gillis, September 4, 2023, natural ecology and evolution.
DOI: 10.1038/s41559-023-02186-7

This research was supported by the U.S. National Institutes of Health U.S. National Research Alliance on Schizophrenia and Depression.

Source: scitechdaily.com

Artificial Intelligence Can Mimic Human Faces Better Than Real Humans

One study found that AI-generated white faces were perceived as more realistic than real human faces, and there were significant differences in the realism of AI faces for people of color. This trend is believed to be due to bias in AI training, raising concerns about reinforcing racial bias and spreading misinformation. Credit: SciTechDaily.com

A study reveals that AI-generated white faces are more realistic than real human faces, raising concerns about potential racial bias and misinformation in AI technology.

Artificial intelligence (AI) has reached a point where white faces created by AI now appear more real than human faces, according to a study conducted by experts at the Australian National University (ANU).

This study found that more people perceived AI-generated white faces as human compared to real human faces, with a different outcome for images of people of color.

Dr. Amy Dowell, the lead author, explained that the disproportionate training of AI algorithms on white faces contributed to this disparity.

Impact of AI Realism

Dr. Dowell expressed concern about the potential impact of consistently perceiving white AI faces as more realistic, especially in reinforcing racial bias online and its impact on people of color.

This image was generated by AI, specifically Midjourney V5.2. Credit: SciTechDaily.com

Understanding AI “Hyperrealism”

Researchers pointed out the problem of AI’s “hyperrealism,” where people often mistake AI faces for real human faces without realizing it.

The study also identified physical differences between AI and human faces that people tend to misinterpret, highlighting the need for transparency in AI technology.

Potential Consequences

This trend has serious implications for the prevalence of misinformation and identity theft, and the researchers emphasize the importance of increasing transparency around AI technologies and raising public awareness. Source: Psychological Science, Journal of the Psychological Science Association.

Reference: “AI Hyperrealism: Why AI faces are perceived as more realistic than human faces” Elizabeth J. Miller, Ben A. Steward, Zach Witkower, Claire AM Sutherland, Eva G. Kramhuber , by Amy Dowell, November 12, 2023; Psychological Science. DOI: 10.1177/09567976231207095

Source: scitechdaily.com

AI Found to Form Memories in Similar Way to Humans, a Surprising Discovery

The multidisciplinary team discovered that AI models, and Transformer in particular, process memories in a manner similar to the hippocampus in the human brain. This breakthrough suggests that applying neuroscience principles like NMDA receptors to AI can improve memory function, advance the field of AI, and provide insight into human brain function. doing. Credit: SciTechDaily.com

Researchers have discovered that memory consolidation processes in AI are similar to those in the human brain, particularly the hippocampus, opening the door to advances in AI and a deeper understanding of human memory mechanisms.

The interdisciplinary team, comprised of researchers from the Center for Cognition and Sociality and researchers from the Data Science Group within the Institute of Basic Sciences (IBS), will study memory processing in artificial intelligence (AI) models and the hippocampus and hippocampus of the human brain. revealed that there are striking similarities between the two. This new discovery provides a new perspective on memory consolidation, the process of converting short-term memory into long-term memory in AI systems.

Evolving AI through understanding human intelligence

Understanding and replicating human-like intelligence has become a key research focus in the race to develop artificial general intelligence (AGI), led by influential organizations such as OpenAI and Google DeepMind. At the heart of these technological advances is the Transformer model. [Figure 1]its fundamental principles are now being explored in new depths.

Figure 1. (a) Diagram showing ion channel activity in a postsynaptic neuron. AMPA receptors are involved in the activation of postsynaptic neurons, while NMDA receptors are blocked by magnesium ions (Mg2⁺), whereas calcium ions (Ca2⁺) are activated when postsynaptic neurons are fully activated. Induces synaptic plasticity through influx. (b) Flow diagram representing the computational process within the Transformer AI model. Information is processed sequentially through stages such as feedforward layer, layer normalization, and self-attention layer. The graph showing the current vs. voltage relationship for the NMDA receptor is very similar to the nonlinearity of the feedforward layer. Input-output graphs based on magnesium concentration (α) show nonlinear changes in NMDA receptors.Credit: Basic Science Research Institute

Brain learning mechanism applied to AI

The key to powerful AI systems is understanding how they learn and remember information. The research team focused on the learning principles of the human brain, particularly memory consolidation via the NMDA receptors in the hippocampus, and applied them to the AI ​​model.

NMDA receptors are like smart doors in the brain that facilitate learning and memory formation. The presence of a brain chemical called glutamate excites nerve cells. Magnesium ions, on the other hand, act as small gatekeepers that block the door. Only when this ionic gatekeeper steps aside can substances flow into the cell. This is the process by which the brain creates and retains memories, and the role of the gatekeeper (magnesium ions) in the whole process is very specific.

AI models that mimic human brain processes

The research team made an interesting discovery. The Transformer model appears to use a gatekeeping process similar to the brain’s NMDA receptors. [see Figure 1]. This discovery led the researchers to investigate whether the consolidation of Transformer memories could be controlled by a mechanism similar to the NMDA receptor gating process.

In animal brains, low magnesium levels are known to impair memory function. Researchers have discovered that mimicking NMDA receptors can improve long-term memory in transformers. Similar to the brain, where changes in magnesium levels affect memory, tweaking the transformer parameters to reflect NMDA receptor gating improved memory in the AI ​​model. This breakthrough suggests that established knowledge from neuroscience can explain how AI models learn.

Expert insights on AI and neuroscience

“This research is an important step in the advancement of AI and neuroscience,” said C. Justin Lee, the institute’s director and neuroscientist. This will allow us to delve deeper into how the brain works and develop more advanced AI systems based on these insights.

CHA Meeyoung is a data scientist on the team.
kaist
says, “The human brain is remarkable in that it operates on minimal energy, unlike large-scale AI models that require vast amounts of resources. It opens up new possibilities for low-cost, high-performance AI systems that learn and remember information.”

Fusion of cognitive mechanisms and AI design

What makes this work unique is its commitment to incorporating brain-inspired nonlinearity into AI structures, representing a significant advance in simulating human-like memory consolidation. The fusion of human cognitive mechanisms and AI design not only enables the creation of low-cost and high-performance AI systems, but also provides valuable insights into the workings of the brain through AI models.

Source: scitechdaily.com

Study finds honeyguide birds have the ability to recognize distinct audio signals to assist humans in locating beehives

Greater Honey Guide (indicator indicator)It is a type of African bird. well known To attract other species to the hive. They have even been known to collaborate with ratels, but their closest and most successful collaborators are humans. Several indigenous groups in Africa work with these birds throughout their range. Observing these interactions in Tanzania and Mozambique, scientists showed that honey guides were more responsive to the specific calls of their local honey-hunting partners compared to the calls of honey hunters in other regions. Ta. Honey guides therefore appear to learn the calls of their local partners, and honey hunters maintain these successful calls for generations.

Spottiswood and Wood experimentally showed that honeyguides in Tanzania and Mozambique distinguish between the calls of honeyhunters and are more likely to respond to local calls than to foreign calls. Image credit: Brian Wood.

The animal kingdom is full of interactions between species, but systems in which humans can successfully cooperate with wild animals are rare.

One such relationship involves the greater honeyguide, a small African bird known for guiding humans to wild bee hives.

Humans open the hive to collect honey, and bees eat the exposed beeswax.

Human honey hunters in different parts of Africa may use specialized and culturally distinct calls to signal their search for a honey guide partner and to maintain cooperation while following guided birds. It happens often.

For example, the honey hunters of the Yao culture group in northern Mozambique use a loud trill followed by a grunt (“brrr-hm”).

In contrast, the Honey Hunters of the Hadza cultural group of northern Tanzania use melodic flutes.

These successful calls have been maintained in these groups for generations.

In a series of field experiments across these disciplines, Dr. Claire Spottiswood of the University of Cambridge and the University of Cape Town, and Dr. Brian Wood of the University of California, Los Angeles and the Max Planck Institute for Evolutionary Anthropology, found that the ecology of honeyguides is We investigated whether it is good or not. They tend to respond more to the signals of their local human culture than to signals from another culture or any human sounds.

The authors found that honeyguides in the Yao region were more than three times more likely to initiate an induced response to honeyguides. Yao’s unique cry than Hadza’s whistle.

Conversely, honey guides in the Hadza region were more than three times more likely to respond to Hadza whistles than to Yao bloom sounds.

“It’s such a privilege to witness the collaboration between people and honeyguides, especially the birds that come looking for us,” Dr Spottiswoode said.

“Their calls sound exactly like a conversation between a bird and a bee as they travel together towards the beehive.”

According to the authors, the geographic variation and coordination between signals and responses observed in this behavioral system suggests that cultural coevolution has occurred between honeyguides and humans.

“What’s remarkable about the relationship between honey guides and humans is that interactions with humans involve free-living wild animals that have probably evolved through hundreds of thousands of years of natural selection,” Dr. Spottiswood said.

“Through learning, this ancient and evolved behavior was refined to fit local cultural traditions, or different human calls.”

“Our research demonstrates the ability of this bird to learn unique vocal signals traditionally used by various honey-hunting communities, opening up possibilities for mutually beneficial cooperation with people.” ,” Dr. Wood said.

Regarding this research, paper in a diary science.

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Claire N. Spottiswood and Brian M. Wood. 2023. Culturally determined interspecies communication between humans and honey guides. science 382 (6675): 1155-1158; doi: 10.1126/science.adh4129

Source: www.sci.news