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Google's AI genome system evaluates every possible one-base change

9 September 2026 at 17:34

On Tuesday, Google announced AlphaGenome Atlas, a resource that attempts to predict the consequences of every possible single-base variant in the human genome. The human genome is about 3 billion bases long, so trying the other three DNA bases that don't appear in our reference genome means sending a total of 9 billion bases through AlphaGenome software.

AlphaGenome is designed to identify potential functions of non-coding DNA, which does not encode proteins but makes up the vast majority of the human genome. Some of this non-coding DNA is essential for controlling the activity of the protein-coding portion—it tells the cell where and when to make messenger RNAs, how to process them into mature protein-coding forms, and so on. But much of it appears to be little more than the remains of viruses and other molecular parasites.

Being able to identify the functional portion is very useful, as is having all the analysis done by a single software package. But until biologists start to use it heavily (assuming they do), it won't be clear what AlphaGenome offers beyond what we could have gotten out of its training data.

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Google's AI genome system evaluates every possible one-base change

9 September 2026 at 17:34

On Tuesday, Google announced AlphaGenome Atlas, a resource that attempts to predict the consequences of every possible single-base variant in the human genome. The human genome is about 3 billion bases long, so trying the other three DNA bases that don't appear in our reference genome means sending a total of 9 billion bases through AlphaGenome software.

AlphaGenome is designed to identify potential functions of non-coding DNA, which does not encode proteins but makes up the vast majority of the human genome. Some of this non-coding DNA is essential for controlling the activity of the protein-coding portion—it tells the cell where and when to make messenger RNAs, how to process them into mature protein-coding forms, and so on. But much of it appears to be little more than the remains of viruses and other molecular parasites.

Being able to identify the functional portion is very useful, as is having all the analysis done by a single software package. But until biologists start to use it heavily (assuming they do), it won't be clear what AlphaGenome offers beyond what we could have gotten out of its training data.

Read full article

Comments

© Vertigo3D

Bats May Hold the Secret to Fighting Aging, Cancer, and Infection

Little Flying Bat ForestBats’ remarkable ability to withstand decades of strenuous flight while keeping infections, inflammation, and cancer in check may offer new clues to healthier human aging Bats are unusually long-lived for animals of their size. Small mammals generally burn energy quickly and die relatively young, yet some bats survive for several decades. Brandt’s myotis, Myotis brandtii, [...]

Scientists Map Genetics of Personality across Million People

3 September 2026 at 22:15
According to Professor Graur, the functional fraction within the human genome cannot exceed 25%, and is probably considerably lower.

Researchers have identified more than 1,200 locations in the human genome associated with personality traits, offering the most detailed look yet at the biological underpinnings of traits like sociability, anxiety and curiosity.

The post Scientists Map Genetics of Personality across Million People appeared first on Sci.News: Breaking Science News.

Large genome models used to design new viruses

6 August 2026 at 20:04

A lot of the AI work in biology has been focused on designing proteins. That's partly because proteins do most of the business of life, catalyzing the interesting chemistry and structuring cells. So, figuring out how to make a new protein can mean directly tinkering with biochemistry, providing new and potentially useful functions.

Since the genetic code provides a layer of abstraction between DNA and proteins, it wasn't obvious what a model trained on DNA could do. Yet people went ahead and made a large genome model, and it turned out to be able to output DNA sequences that could encode functional proteins in bacteria and mimic the gene structures found in complex cells. Now, those same models have been used to output the genomes of viruses that infect bacteria.

This isn't science fiction—all the viruses the models created are closely related to an existing virus. But they do have some distinct features that would be challenging to evolve. And the researchers who did the work, based at Stanford University, suggest we may want to start thinking now about preparing for the potential that someone could develop a related AI that can design a virus that targets vertebrates.

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Decades of Financial Hardship Linked to Faster Brain Aging

28 July 2026 at 20:13
Long-term financial stress accelerates age-related cognitive decline. Image credit: Thomas Breher.

A large British study spanning more than 70 years has found that people who experience chronic money struggles over their working lives show measurable declines in memory and processing speed by their 50s, along with signs of accelerated brain shrinkage decades later.

The post Decades of Financial Hardship Linked to Faster Brain Aging appeared first on Sci.News: Breaking Science News.

This New DNA Test Solves Rare Disease Mysteries That Standard Genetics Misses

19 June 2026 at 12:19
Blood DNA Forming Inside Test TubeA new long-read DNA test improves rare disease diagnosis, replaces multiple existing tests, and could become the preferred global standard for genetic diagnostics. A new DNA test is providing a far more detailed view of the genome than current standard diagnostic methods, helping doctors identify rare genetic disorders more often. The test can replace up [...]

This Deep-Sea Predator Can Live for Centuries—Now Geneticists Are Close to Hacking the Secrets of Its Longevity

8 June 2026 at 13:39


The mystery of the Greenland shark’s incredible longevity may finally be unraveling, as a team of international researchers has completed the first comprehensive genome map of the creature.

Native to the cold waters between Greenland, Iceland, and Canada, Greenland sharks boast one of the longest vertebrate lifespans on Earth, approaching 400 years. In a recent paper published in the Proceedings of the National Academy of Sciences, researchers led by Shigeharu Kinoshita of the University of Tokyo have identified some of the genetic basis of that extraordinary lifespan, which they say future researchers may exploit to treat cancer and age-related illnesses.

Greenland Sharks Longevity

As genetic sequencing technology has improved and costs have fallen, there has been a major increase in the number of sequences from long-lived species for comparative analysis. Discoveries have included identifying increases in genes related to the immune system and growth hormone receptors in rockfish and bat species noted for their longevity.

With an entire lifecycle in slow motion, Greenland sharks’ longevity can be traced to their prolonged development: they take 150 years to reach sexual maturity, growing only 1 centimeter per year. Despite being one of the slowest swimmers in the ocean, the species undertakes large-scale migrations spanning over 1,000 kilometers.

Genome Mapping

Large genome sizes, like those of the Greenland shark, pose enormous mapping challenges, full of many repetitive sequences. Despite their importance for management and conservation, few whale and shark species have been sequenced due to the difficulty involved. To fill data gaps in the genetic causes of longevity, aquatic species evolution, and the risks of biodiversity loss, the team chose the Greenland shark as their subject.

The University of Tokyo-led team mapped roughly 5.9 billion DNA base pairs, accounting for 96.7% of the shark’s genome. Among the discoveries were the identification of specific genetic features likely related to the Greenland shark’s longevity. 

In their paper, they wrote of discovering “genetic traits associated with cancer, immune response function, genome stability, and cardiac function, deep-sea adaptations, and population size dynamics,” in the new research.

Longevity Results

One of the most crucial of these traits is how the shark appears to mitigate the genetic strain that contributes to aging by stabilizing the building blocks of chromosomes. Chromatin is a structure consisting of DNA, RNA, and proteins, which makes up chromosomes.

In the Greenland shark, the histone H1.0 protein, which binds DNA in chromatin, undergoes an amino acid substitution that may enhance stability and reduce the effects of aging.

Another genetic tool aiding the shark’s longevity is the presence of 59 copies of the FTH1b gene, which researchers discovered on pseudochromosome 33, far above the number seen in other shark or fish species. This helps regulate ferroptosis, a form of programmed cell death, thereby mitigating cell damage. Since the gene controls iron storage and ferroptosis is iron-dependent, the researchers say this multiplication of FTH1b could prevent oxidative cell damage.

Beyond those specific expressions, researchers also found expansion of entire gene families associated with DNA repair, immune functions, and cancer resistance.

Although limited to a single species, the research does advance general understanding of the genetic factors involved in extended lifespans. However, it will be up to future researchers to identify how this new information can be applied to human concerns.

The paper, “The Greenland Shark Genome: Insights into Lifespan Extremes and Population Dynamics,” appeared in Earth and Planetary Science Letters on May 19, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

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