This structure of an archaeal tailed virus (arTV) provides detailed insights into arTV assembly and infection mechanisms.

Biology is hard. Yes, even for AI.

Combining fossil-based and molecular calibrations with data on horizontal gene transfer events, the authors develop a time-calibrated phylogeny of Fungi. This timescale, which integrates analytic uncertainties, suggests an older age of crown Fungi (1,401–896 million years ago), as well as a minimum age for ancient interactions involving fungi and the algal ancestors of embryophytes in terrestrial ecosystems (1,253–797 Ma).

Sonja Drimmer critically examines art historians’ recent embrace of generative AI as a tool for humanities research.

In this Consensus Statement, a consortium of microbiome scientists discuss current sequencing data sharing policies and propose the use of a Data Reuse Information (DRI) tag to promote equitable and collaborative data sharing.

Background Long-read sequencing has revolutionised metagenomics through improved metagenome assembly, taxonomic classification and functional characterisation. Automation can enhance the throughput, reproducibility, and accuracy of library preparation. However, the validation of automated library preparation protocols remains undetermined for metagenomic workflows, which are particularly sensitive to methodological perturbation. Here, we compare long-read metagenomic sequencing of environmental samples through parallel manual and automated protocols. Results Although automated library preparation led to minor reduction in read and contig lengths, taxonomic classification rate and alpha diversity was slightly higher than manual libraries, including the detection of more rare taxa. Despite this, no significant difference in microbial community structure was identified between manual and automated libraries. Conclusions Despite minor differences in sequencing and classification metrics, automated and manual library preparation resulted in comparable characterization of environmental community metagenomes. These findings demonstrate the suitability of automation for high-throughput long-read metagenomics, with broad applicability to automated long-read sequencing for improved efficiency and reproducibility.

Scientists analysed Europe’s biggest bats to find how they target their prey, capturing distress calls and even the sound of chewing

Damage to the brainstem - the brain's 'control center' - is behind long-lasting physical and psychiatric effects of severe Covid-19 infection, a study suggests.