All Episodes
EP 25
·

Plants, Quantum Sensors, and Predicting Cancer Evolution

Hosted by Lester Nare and Krishna Choudhary, this episode jumps from plant biochemistry to quantum metrology to a new oncology mapping tool. We start with a University of York breakthrough that solves a ~50-year mystery in alkaloid biosynthesis—finding the “missing” enzyme that performs a one-step, asymmetric reaction plants use to build powerful defensive (and pharmaceutically useful) molecules. Then, in the Rundown, we hit Artemis II delays, AI-discovered “second roars” in lions, a refined measurement of Jupiter’s size from Juno, and a RHIC swan-song result probing how hadrons form from the quantum vacuum. Finally, we go deep on quantum sensing with entangled atomic clouds—and close with ALFA-K, a tool that builds local fitness landscapes to predict how aneuploid cancers may evolve under treatment. Comment prompt: Drop your funniest alternate “full forms” for ALFA-K in the comments.
New Phytologist·

The role of mycorrhizal fungi in the evolution of terrestrial plants: a molecular perspective

Imagine the first plants were like toddlers trying to leave a swimming pool. The dry land was a scary place with no easy way to get food or water. Then, they met fungi, which are like expert miners with a massive underground network of tiny tunnels. The fungi were great at finding water and nutrients but couldn't make their own food. So, they made a deal: the fungi would act as a root extension, bringing the plant water and minerals, and in return, the plant would share the sugar it made from sunlight. This paper uses genetic 'archaeology' to prove this deal happened almost half a billion years ago and was the key that allowed plants to conquer the land, eventually creating the world we live in.

Mycorrhizal Fungi
Plant Evolution
Science·

A Novel Approach to Quantum Computing

Imagine a regular computer is like a person trying to find their way through a giant maze by trying one path at a time. A quantum computer is like someone who can explore every possible path in the maze all at once. This new research doesn't change the maze or the person, but it gives them a much smarter map. This 'map' is a new algorithm that helps the quantum computer navigate the possibilities 50% faster, finding the solution with less wasted effort and time. It's a software upgrade that makes our current quantum hardware much more powerful.

Quantum Computing
Algorithms
Nature Communications·

ALFA-K: Local adaptive mapping of karyotype fitness landscapes

Imagine a tumor is a team of players in a video game, where each player's character build (their set of chromosomes) is slightly different. Some builds are strong and fast, while others are weak. This study created a computer program, ALFA-K, that watches the game and creates a 'map' of the game world. The hills on the map represent powerful character builds that help the team win (high fitness), and the valleys are weak builds that get eliminated. ALFA-K is so smart it can not only map the builds it sees, but it can also predict which new, unseen builds are likely to be powerful. This helps scientists understand the rules of cancer's 'game' and how it adapts to challenges like chemotherapy.

Cancer
Computational biology and bioinformatics