An analysis of 497 sampled fish found a strong genetic divide between Northern and Southern Hemisphere groups, with additional structure among Mexican fish and differences between selected captive stocks and wild populations.
GPS tracking linked reinforcers that joined resident birds with slower dispersal and larger core ranges than birds that stayed in an exclusive reinforcer group. Survival to 55 days did not differ significantly, and the observational design could not show that social integration caused the movement patterns.
A peer-reviewed study of MetaMP found that agreement rankings changed when related membrane-protein labels were compared under a biologically motivated grouping rule.
Computational and structural biotechnology journal5 min read
BarnebyLives is an open-source R package that checks herbarium data, flags names and coordinates for review, and prepares labels and digital submissions.
A mathematical analysis of pooled subtree information finds a sharp contrast: three-leaf buckets can hide distinct labelled tree pairs, while n-1 buckets recover pairs across broad size ranges, with small exceptions.
A computer model of evolving bee-like colonies found that direct pointing was limited to a moderate food landscape, while stable transitions to gravity-referenced signaling were found in some simulated runs.
This preprint derives a critical genome-length formula for fragmentation in a mating-threshold population, with scaling laws that change as population size, mutation rate and transient genealogical width vary.
An abstract genotype–phenotype model associated higher penetrance with mutational robustness and lower access to alternative high-fitness regions, while simulations linked infrequent environmental change with penetrance and frequent change with adaptability.
A modeling preprint suggests that near-perfect correlations between species are not a universal sign of ecological instability; the signal depends on whether a slowly relaxing mode is visible above background fluctuations.
A new arXiv preprint develops models in which reproduction and survival favor different trait values and their selection strengths vary across space or time. The analysis predicts shifted optima, asymmetric or potentially two-peaked effective fitness landscapes, and wider or displaced distributions of simulated trait outcomes.