More than 80 years ago scientists discovered that differences in yellow pigmentation were critical to courtship success and failure for fruit flies. 

The “top predator” from the Jurassic is relatively small in size: Megacauda sungei measures just half a meter from its nose to the tip of its tail. 165 million years ago, the furry ancestor to today’s mammals hunted its prey in water. The cusps of its teeth were also curved backwards to enable it to catch its slippery prey. However, the true evolutionary revolution is its soft palate, which separates the oral cavity from the pharynx while also enabling swallowing and breathing. This is an important requirement for suckling as a survival advantage. The findings by researchers from the Universities of Shenyang, Chicago, and Bonn are now being published in the journal ‘Nature’. 

At the University of Missouri, plant scientist Ron Mittler is rewriting the playbook for how scientists study life by asking what happens when living organisms face multiple stresses at once.

Genetic information may play an increasingly important role in the personalized preventive medicine of the future. Whole-genome sequencing could open up new possibilities for identifying susceptibility and risk for specific diseases even before symptoms appear, emphasizes Dr. Gyula Richárd Nagy, a clinical geneticist at Semmelweis University. However, to achieve this, we must first accurately ‘read’ our genome — that is, the billions of DNA letters — with increasing precision. We must also ensure that the reference base we are comparing it to is appropriate. A study published in the prestigious US journal GeroScience, which involved researchers from Semmelweis University, sheds light on this important yet little-known issue for the future of preventive genomics.

A new multimodal 4D dataset developed at Institute of Science Tokyo provides a detailed model of how humans and dogs interact through movement, gestures, and speech. The curated dataset “InterPet4D” comprises 6.83 million synchronized frames obtained from 23 human participants and 13 dogs representing 11 breeds. Additionally, the researchers developed an AI framework, InterPetMoGen, using this dataset to predict and generate dog movements responding to human actions and audio cues.

Tokyo, Japan- Prediction is a defining feature of intelligent behavior. Researchers at The University of Tokyo developed a spiking-network model that learned what event would occur, when it would occur, and how likely it was. The single network rapidly recalibrated when timing or probabilities changed, using local learning. The findings suggest a computational framework for adaptive, brain-inspired AI and testable ideas about how neural systems update expectations across dynamic environments and changing real-world conditions.

A gene involved in cell signaling and lipid metabolism, CTDNEP1, is associated with poorer survival in clear cell renal cell carcinoma (ccRCC), a study from Tokyo University of Science and Nippon Medical School has found. Researchers analyzed publicly available cancer databases to examine CTDNEP1 expression in ccRCC and papillary RCC. They found that higher CTDNEP1 expression was associated with poorer survival in ccRCC, suggesting its potential as a candidate prognostic biomarker for this subtype.