Evolution seems to follow a script more often than expected. Researchers found that distantly related butterflies and moths have reused the same pair of genes for over 120 million years to produce strikingly similar warning colors. Rather than altering the genes themselves, evolution modifies how they’re switched on and off. This discovery hints that life may evolve in more predictable ways than previously believed.
Using bright X-rays from the Department of Energy’s SLAC National Accelerator Laboratory and Lawrence Berkeley National Laboratory (Berkeley Lab), researchers pioneered an innovative approach to designing proteins with targeted functions. Their method generated new insights that allowed the team to turn a single designed protein into two new proteins with completely different functions—one of which is the most active designed enzyme to date.
In the study, published in Nature Chemistry, the University of California, San Francisco (UCSF), team for the first time combined X-ray studies of how small molecule fragments bind to designed proteins, known as crystallographic fragment screening, with a method used to design proteins, called directed evolution. This breakthrough approach could lead to simpler ways to improve enzymes and medications, among other uses.
“Our novel protein design strategy simultaneously explores the landscapes of chemical space and sequence space, which helps design functional proteins rapidly,” said Sagar Bhattacharya, postdoctoral researcher at UCSF and an author on the paper. “Instead of the typical 5–10 rounds or more of directed evolution, we achieved the 10-fold higher enzyme activity with just two rounds of directed evolution.”
The repeated evolution of similar phenotypes, or convergent evolution, is widespread in nature, but there are few studies investigating the genetic mechanisms across wide evolutionary timescales. This study examines convergent wing pattern evolution across highly divergent Lepidopteran lineages and reports parallel genetic reuse, indicating strong constraints and high predictability in evolutionary outcomes.
Our most massive satellite galaxy, the Large Magellanic Cloud (LMC), has been the center of a heated debate in the astrophysics community over the last few years. That debate centers on whether this is the LMC’s first or second “pass” by the Milky Way itself — and it has huge implications for the evolution of our galaxy given the disruption such a large grouping of stars has. A new paper from Scott Lucchini, Jiwon Jesse Han, Sapna Mishra, and Andrew J. Fox and his co-authors, currently available in pre-print on arXiv, provides what they claim to be definitive evidence that this is, in fact, the first time LMC has encountered the Milky Way.
To understand the debate, it’s best to look at its history. For decades, there was an ongoing debate about the orbital path of the LMC. The discussion centered around a collisionless N-body dynamics model that tracked stars and their gravity. But back in 2024, physicist Eugene Vasiliev released a stunning paper that presented an argument that the LMC might have first passed the Milky Way 6–8 billion years ago at a distance of roughly 100 kiloparsecs.
Upon release of that paper, the debate was reignited. Vasiliev posited that, if the Milky Way’s dark energy halo was anisotropic (meaning the velocities of dark matter particles are skewed in certain directions), the current speed and position of the LMC would align perfectly with a “second pass” orbit. Dr. Lucchini and his co-authors are firmly on the other side of that argument.
A newly discovered Vietnamese-linked operation has been observed using a Google AppSheet as a “phishing relay” to distribute phishing emails with an aim to compromise Facebook accounts.
The activity has been codenamed AccountDumpling by Guardio, with the scheme selling the stolen accounts back through an illicit storefront run by the threat actors. In all, roughly 30,000 Facebook accounts are estimated to have been hacked as part of the campaign.
“What we found wasn’t a single phishing kit,” security researcher Shaked Chen wrote in a report shared with The Hacker News. “It was a living operation with real-time operator panels, advanced evasion, continuous evolution and a criminal-commercial loop that quietly feeds on the same accounts it helps steal back.”
Where exactly is the edge of the Milky Way? That question is harder to answer than one might expect. Since we’re inside of the galaxy itself, it’s obviously hard to judge the “edge” to begin with. But it gets even more complicated when defining what the edge even is — the galaxy simply gets less dense the farther away from the center it goes. A new paper by researchers originally at the University of Malta thinks they have an answer though. The “edge” can be defined as the star-forming region, and in their paper, published in Astronomy & Astrophysics, they very clearly show that “edge” to be between 11.28 and 12.15 kiloparsecs (or about 40,000 light years) from the center.
Even finding that edge was no easy task, though. The researchers had to analyze the ages of over 100,000 giant stars from the data of several different surveys, including APOGEE-DR17, LAMOST-DR3 and Gaia. In the data they found an interesting story about the evolution of the position of stars in the galaxy, and their age.
That relationship can be thought of as a U curve. In this case, the Y axis is age, and the X axis is the distance from the galaxy’s center. A picture (or graph in this case) is worth a thousand words, but in words that simply means that stars closer to the center of the galaxy are older, and get progressively younger out to a certain point, and then start getting older again. That “certain point”, according to the authors, is the end of the galaxy’s star-forming region, and hence, the “edge” of the galaxy.
Fu et al. use Ig-humanized mice expressing the germline CR3022 heavy chain to reveal how somatic hypermutation rapidly adapts this antibody class for broad sarbecovirus recognition. Sequential immunization drives CR3022-like maturation, while structural analyses show that increased affinity and breadth arise from subtle polar and electrostatic refinements.
A quiet revolution is underway in modern medicine: Drug development is aiming to move from managing disease to correcting it through RNA and gene-editing therapies. But delivering these treatments safely and precisely to the right cells remains a major hurdle—especially in hard-to-target organs like the brain and kidneys.
Now, researchers led by a University of Ottawa Faculty of Medicine team offer highly compelling evidence that an elegant, nature-inspired solution lies in ultra-tiny, bubble-like structures called small extracellular vesicles (sEVs). These metabolic messengers, refined over millions of years of evolution, carry RNA—a nucleic acid that is a chemical cousin of DNA—and other molecules between cells.
In a nutshell, the research team’s new findings show that not all sEVs are alike: their cell of origin determines where they travel, with certain vesicles naturally targeting specific tissues in the body.