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Arc Institute researchers have developed a machine learning model called Evo 2 that is trained on the DNA of over 100,000 species across the entire tree of life. Its deep understanding of biological code means that Evo 2 can identify patterns in gene sequences across disparate organisms that experimental researchers would need years to uncover. The model can accurately identify disease-causing mutations in human genes and is capable of designing new genomes that are as long as the genomes of simple bacteria.

Evo 2’s developers—made up of scientists from Arc Institute and NVIDIA, convening collaborators across Stanford University, UC Berkeley, and UC San Francisco—will post details about the model as a preprint on February 19, 2025, accompanied by a user-friendly interface called Evo Designer. The Evo 2 code is publicly accessible from Arc’s GitHub, and is also integrated into the NVIDIA BioNeMo framework, as part of a collaboration between Arc Institute and NVIDIA to accelerate scientific research. Arc Institute also worked with AI research lab Goodfire to develop a mechanistic interpretability visualizer that uncovers the key biological features and patterns the model learns to recognize in genomic sequences. The Evo team is sharing its training data, training and inference code, and model weights to release the largest-scale, fully open source AI model to date.

Building on its predecessor Evo 1, which was trained entirely on single-cell genomes, Evo 2 is the largest artificial intelligence model in biology to date, trained on over 9.3 trillion nucleotides—the building blocks that make up DNA or RNA—from over 128,000 whole genomes as well as metagenomic data. In addition to an expanded collection of bacterial, archaeal, and phage genomes, Evo 2 includes information from humans, plants, and other single-celled and multi-cellular species in the eukaryotic domain of life.

Unraveling the Genetic Risk of Cancer

Thousands of tiny changes in the DNA sequence of the human genome have been linked to an increased risk of cancer. However, until now, it has been unclear which of these changes directly contribute to the uncontrolled cell growth that defines the disease and which are simply coincidences or minor players.

Stanford researchers conducted the first large-scale analysis of these inherited genetic changes, known as single nucleotide variants. Their study identified fewer than 400 variants that play a key role in triggering and sustaining cancer growth. These variants influence several critical biological pathways, including those that control DNA repair, energy production, and how cells interact with their microenvironment.

New in JNeurosci: Researchers identified a new subset of neurons in mice that morphine may interact with to influence behavior. This neuron population could be a promising new opioid addiction treatment target.

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Opioid use disorder constitutes a major health and economic burden, but our limited understanding of the underlying neurobiology impedes better interventions. Alteration in the activity and output of dopamine (DA) neurons in the ventral tegmental area (VTA) contributes to drug effects, but the mechanisms underlying these changes remain relatively unexplored. We used translating ribosome affinity purification and RNA sequencing to identify gene expression changes in mouse VTA DA neurons following chronic morphine exposure. We found that expression of the neuropeptide neuromedin S (Nms) is robustly increased in VTA DA neurons by morphine. Using an NMS-iCre driver line, we confirmed that a subset of VTA neurons express NMS and that chemogenetic modulation of VTA NMS neuron activity altered morphine responses in male and female mice. Specifically, VTA NMS neuronal activation promoted morphine locomotor activity while inhibition reduced morphine locomotor activity and conditioned place preference (CPP). Interestingly, these effects appear specific to morphine, as modulation of VTA NMS activity did not affect cocaine behaviors, consistent with our data that cocaine administration does not increase VTA Nms expression. Chemogenetic manipulation of VTA neurons that express glucagon-like peptide, a transcript also robustly increased in VTA DA neurons by morphine, does not alter morphine-elicited behavior, further highlighting the functional relevance of VTA NMS-expressing neurons. Together, our current data suggest that NMS-expressing neurons represent a novel subset of VTA neurons that may be functionally relevant for morphine responses and support the utility of cell type-specific analyses like TRAP to identify neuronal adaptations underlying substance use disorder.

Significance Statement The opioid epidemic remains prevalent in the U.S., with more than 70% of overdose deaths caused by opioids. The ventral tegmental area (VTA) is responsible for regulating reward behavior. Although drugs of abuse can alter VTA dopaminergic neuron function, the underlying mechanisms have yet to be fully explored. This is partially due to the cellular heterogeneity of the VTA. Here, we identify a novel subset of VTA neurons that express the neuropeptide neuromedin S (NMS). Nms expression is robustly increased by morphine and alteration of VTA NMS neuronal activity is sufficient to alter morphine-elicited behaviors. Our findings are the first to implicate NMS-expressing neurons in drug behavior and thereby improve our understanding of opioid-induced adaptations in the VTA.

Several multi-cancer GWAS loci within the region encoding telomerase reverse transcriptase (TERT) have been identified. Here, the authors explore the locus within TERT intron 4, link it with a variable number tandem repeat (VNTR), and investigate its biological significance and role in cancer.

🔍 Overview: Join Robert Plomin and me as we dive deep into the fascinating world of behavioural genetics, exploring how our DNA shapes who we are, the power of environment, and whether we can rewrite our genetic destiny.

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PayPal: https://www.paypal.com/paypalme/samuehttps://www.blockchain.com/explorer/a… 🗣️ Highlights [Highlight 1]: How Does Genetics Shape Who We Are? [Highlight 2]: What Role Does the Environment Truly Play in Defining Us? [Highlight 3]: Are We Hardwired by Our DNA, or Can We Rewrite Our Destiny? 🕒 Timestamps 0:00 — Introduction 1:57 — Robert Plomin, Philosophy and Psychology 4:12 — Why Behavioural Genetics? 8:21 — Publishing Blueprint 14:51 — Heritability 30:15 — The Basics of DNA 34:34 — Genetic Variances and Binary Myths 41:21 — Labels and Certificates 45:33 — Nonshared Environments and The Nature of Nurture 1:00:51 — Self-Selecting Within Environments 1:07:04 — Group Difference and Heritability 1:13:03 — Academic Success: DNA vs. Schooling 1:21:17 — Ethical Considerations 1:27:01 — Moral Responsibility and Accountability 1:31:23 — The Future of Genetics 1:42:38 — Genetic Trajectories and Random Events 1:45:17 — The DNA Revolution 1:48:21 — Closing Remarks 📚 Episode Resources (affiliate links where possible — thanks!) Blueprint: How DNA Makes Us Who We Are by Robert Plomin: https://amzn.to/3T9htYp King’s College London: https://www.kcl.ac.uk/people/robert-p… Common Disorders are Quantitative Traits by Robert Plomin: https://pubmed.ncbi.nlm.nih.gov/19859… Gattaca (1997): https://www.imdb.com/title/tt0119177/ 🌐 Connect Linktree: https://linktr.ee/samueldevis89 Substack: https://thesocraticsessions.substack… Twitter: / samueldevis89 Facebook Page: / thesocraticsessions Instagram: / samueldevis89 Goodreads: / samuel-devis Bluesky: https://bsky.app/profile/samueldevis8… Threads: https://www.threads.net/@samueldevis89 LinkedIn Page: / thesocraticsessions 🎧 Subscribe 📺 YouTube: / @samueldevis89 Rumble: https://rumble.com/c/SamuelDevis89 Apple Podcasts: https://podcasts.apple.com/us/podcast… Spotify: https://open.spotify.com/show/6lOdYbN… Audible: https://www.audible.co.uk/pd/The-Socr… Amazon Music: https://music.amazon.co.uk/podcasts/3… Other Podcast Platforms: https://podcasters.spotify.com/pod/sh… 📷 Gear (affiliate links — thanks!) Camera (Sony A6400): https://amzn.to/46jehNn Lens (Sigma 16mm): https://amzn.to/47DfiRn Audio Interface (Focusrite Scarlett 4i4): https://amzn.to/47lJzEP Microphone Amplifier (Cloudlifter CL-1): https://amzn.to/3uou7Jq Mic (RØDE PodMic): https://amzn.to/3sJFUBE Lights (Elgato Key Light Air): https://amzn.to/3TZMgYX Colour Back Lighting (Govee LED Floor Lamp): https://amzn.to/47EGSOf Recording Software (Riverside. FM): https://www.tinyurl.com/riversidesam89 👍 Support: Like, subscribe, and share to fuel the quest for understanding. 🔔 Stay Tuned: Tap the bell for instant notifications. 📣 Join the Talk: Share your thoughts using #TheSocraticSessions. 🚀 Thanks for Tuning In! Let’s keep the conversation going. #genetics #nature #nurture #dna #heritability #genome #biology #philosophy.
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🗣️ Highlights.
[Highlight 1]: How Does Genetics Shape Who We Are?
[Highlight 2]: What Role Does the Environment Truly Play in Defining Us?
[Highlight 3]: Are We Hardwired by Our DNA, or Can We Rewrite Our Destiny?

🕒 Timestamps.

A cancer therapy that uses genetically engineered immune cells, called CAR T-cells, has kept a person free of a potentially fatal nerve tumour for a record-breaking 18 years.⁠ ⁠ “This is, to my knowledge, the longest-lasting complete remission in a patient who received CAR T-cell therapy,” says Karin Straathof at University College London, who wasn’t involved in the treatment. “This patient is cured,” she says.⁠ ⁠ Doctors use CAR T-cell therapy to treat some kinds of blood cancer, like leukaemia. To do this, they collect a sample of T-cells, which form part of the immune system, from a patient’s blood and genetically engineer them to target and kill cancer cells. They then infuse the modified cells back into the body. In 2022, a follow-up study found that this approach had put two people with leukaemia into remission for around 11 years, a record at the time.⁠ ⁠

New research on the inner ear morphology of Neanderthals and their ancestors challenges the widely accepted theory that Neanderthals originated after an evolutionary event that implied the loss of part of their genetic diversity. The findings, based on fossil samples from Atapuerca (Spain) and Krapina (Croatia), as well as from various European and Western Asian sites have been published in Nature Communications.

Neanderthals emerged about 250,000 years ago from European populations—referred to as “pre-Neanderthals”—that inhabited the Eurasian continent between 500,000 and 250,000 years ago. It was long believed that no significant changes occurred throughout the evolution of Neanderthals, yet recent paleogenetic research based on DNA samples extracted from fossils revealed the existence of a drastic genetic diversity loss event between early Neanderthals (or ancient Neanderthals) and later ones (also referred to as “classic” Neanderthals).

Technically known as a “bottleneck,” this genetic loss is frequently the consequence of a reduction in the number of individuals in a population. Paleogenetic data indicate that the decline in took place approximately 110,000 years ago.

A new study by researchers at the Max Planck Institute for Evolutionary Biology (MPI-EB) sheds fresh light on one of the most debated concepts in biology: evolvability. The work provides the first experimental evidence showing how natural selection can shape genetic systems to enhance future capacity for evolution, challenging traditional perspectives on evolutionary processes.

The research is published in the journal Science. A related Perspective article also appears in Science.

The ability of organisms to generate adaptive genetic variation is crucial for evolutionary success, particularly in changing environments. The MPI-EB study investigates whether operates not merely as a “blind” process driven by but could actively favor mechanisms that channel mutations toward adaptive outcomes.

A recent study published in Science by a Belgian research team investigates how genetic switches that regulate gene activity define brain cell types across different species.

A species is a group of living organisms that share a set of common characteristics and are able to breed and produce fertile offspring. The concept of a species is important in biology as it is used to classify and organize the diversity of life. There are different ways to define a species, but the most widely accepted one is the biological species concept, which defines a species as a group of organisms that can interbreed and produce viable offspring in nature. This definition is widely used in evolutionary biology and ecology to identify and classify living organisms.