Exposure to Bacillus thuringiensis (Bt) selects for beneficial interactions between the target insect pest (Helicoverpa armigera) and its symbiotic densovirus that enhances its performance on Bt-crops under field conditions.

Adopted individuals in large-scale population based cohorts can be leveraged to partition maternal genetic effects into prenatal and postnatal components, helping elucidate the underlying mechanisms behind these associations, and for diseases, yielding important information regarding the optimal timing of interventions.

A new nomenclature convention for mammalian cell types utilizing shared taxonomies and quantitative cell features is applied to high-quality, open data from the mouse and human brain.

Biological ages have the potential to provide aging-related information beyond chronological age and can be predictive of mortality independently of both chronological age and different types of biological ages.

A survey of researchers at the Montreal Neurological Institute and Hospital provides insights into the challenges and opportunities involved in adopting an open science policy across an entire patient-oriented academic institution.

Social connectivity increases an individual’s likelihood of behavioural adoption if the learning rule depends on the extent of social connections to informed others, but is unrelated when learning depends on the ratio of connections to informed versus uninformed others.

An analysis of more than 3000 randomized controlled trials published in JAMA, the Lancet and NEJM has identified 396 medical reversals.

hamPCR is a cost-effective and transformative amplicon sequencing strategy to describe microbiota composition and measure its overall abundance, applicable to all samples in which host and microbial DNA are co-extracted.

Reductions in cervical cancer screening and colposcopy among nearly half of surveyed clinicians more than a year into the COVID-19 pandemic raise concerns that inadequate screening and follow-up will lead to future increases in preventable cancers.

Coccinella, an open-source framework, combines real-time tracking on microcomputers with statistical learning, optimising behaviour analysis in Drosophila melanogaster while surpassing other advanced systems in throughput and performance.