All Research

High-throughput phenomics of global ant biodiversity

Nature Astronomy·
Read the paperDOI: 10.1038/s41592-026-03005-0

TL;DR

Imagine being able to take a detailed 3D MRI of a tiny ant — seeing every hair, joint, and internal organ — without cutting it open or even touching it. That's basically what this team did, but at incredible speed and scale. They used a giant particle accelerator (a synchrotron) that shoots powerful X-rays to scan 2,193 ants from nearly 800 different species, creating detailed 3D models of each one. They then put all these 3D models on a free website for anyone to explore. Think of it like Google Maps, but for ant bodies. Scientists can now use computers to automatically compare body shapes across thousands of ants, pairing those body blueprints with DNA data to understand how ants evolved and why different species look so different from each other.

The big data era in biology is underway, but the study of organismal form has been slow to capitalize on advances in imaging and computation. Imaging approaches can digitize whole organisms, but low throughput has limited the effort to document morphological diversity. Here, within the open science initiative 'Antscan', we applied high-throughput synchrotron X-ray microtomography to capture phenotypes across a diverse and ecologically dominant insect group: ants. At https://www.antscan.info , we provide 2,193 whole-body three-dimensional ant datasets from 212 genera and 792 species to broadly cover the ant phylogeny with a global scope, also pairing phenomic data with genome sequencing projects. Scans acquired with standardized parameters facilitate automated analysis, and free access to data can broaden the audience and incentivize methods development. Antscan presents a scalable approach to create libraries of diverse anatomies, heralding an era of studies on the evolution, structure and function of organismal phenotypes.

  • 1Created a publicly accessible repository of 2,193 whole-body 3D micro-CT datasets covering 212 ant genera and 792 species, broadly representing the ant phylogeny.
  • 2Applied high-throughput synchrotron X-ray microtomography at the KIT Light Source to image ethanol-preserved ant specimens without invasive staining, dramatically increasing scanning throughput.
  • 3Synchronized phenomic data with large-scale genome sequencing projects (including the Global Ant Genomics Alliance), linking 585 scans to genomic data for 186 species.
  • 4Standardized scanning and reconstruction protocols enable automated machine learning and computer-vision analyses across the dataset.
  • 5Demonstrated scalability of the workflow as a model for 3D digitization of other small organism groups across the tree of life.
Science News

M87's black hole flipped its magnetic field

Imagine a bar magnet with a north and south pole. Now imagine that magnet suddenly flipping so north becomes south and vice versa. That's essentially what happened with the magnetic field around the giant black hole at the center of galaxy M87 — except this black hole is 6.5 billion times heavier than our Sun. Scientists noticed this flip by watching the powerful beam of energy, called a jet, that shoots out from the black hole. The direction and behavior of that beam changed in a way that revealed the magnetic field had reversed. It's a big deal because those magnetic fields are thought to act like the engine that powers and steers these cosmic jets, and we've rarely caught one flipping in action.

Scientific American·

The 2026 World Cup's grass is an engineering problem

Imagine you're trying to play soccer in 16 different places across the United States, Canada, and Mexico — some in freezing cold, some blazing hot, some in stadiums with roofs that block sunlight. Half of those stadiums normally use fake grass. Now FIFA, the organization that runs the World Cup, wants every single pitch to feel and play exactly the same way, like a video game where every level has identical physics. To do that, they hired grass scientists — yes, that's a real job — who figured out how to grow special grass on thin mats with plastic underneath so it can be transported like a carpet, stitched with synthetic fibers so it doesn't rip when players sprint and tackle, and tested by literally shooting balls at it with a cannon to make sure it bounces right. Different grass species are used depending on whether a stadium is hot, cool, or dark. It's basically a giant, living, high-tech floor installation that has to survive the world's best athletes running on it.

Nature Genetics·

Non-Mendelian inheritance of DNA methylation patterns in mice

Imagine your DNA is like a huge book of instructions. Mendel's laws are the normal rules for how chapters of that book get passed from parents to children. But there's also a layer of sticky notes on top of the book—called epigenetic marks—that tell cells which chapters to read and which to ignore. This study found that most of the time (about 93%), these sticky notes follow the normal inheritance rules. But about 7% of the time, they do something unexpected: new patterns appear that neither parent had, or a mark from one parent somehow silences the same mark from the other parent (called paramutation), or males and females end up with completely different sticky notes even when they inherit the same DNA. Scientists discovered this by using a new ultra-precise DNA reading technology in mice, and it opens the door to understanding hidden layers of how traits—and possibly diseases—are passed down through generations.

Monthly Notices of the Royal Astronomical Society·

Remarks on the disproof of the unit distance conjecture

Imagine you scatter a bunch of dots on a piece of paper. The question is: how many pairs of those dots can be exactly 1 inch apart? The Erdős unit distance conjecture asked whether there's a specific mathematical formula that limits how often this can happen as you add more and more dots. Think of it like asking how many friendships can exist in a town where friends are defined as people who live exactly one mile apart — there's a suspected maximum, and Erdős guessed what that maximum should be. For decades, no one could prove or disprove his guess. Now, an AI apparently found a specific arrangement of dots (a 'counterexample') that breaks the expected limit, proving Erdős's conjecture was wrong. A team of elite mathematicians then checked and explained the AI's work in this paper.