Raphael Gollnisch

@rgollnisch.bsky.social

Evolutionary genetics of calcifying protists Postdoc at University of Oxford

Scientific American has updated the figure, now grouped into swimmers, fliers, walkers/runners, and vehicles. A person on a bicycle remains the most efficient way to travel, compared to all forms of biological locomotion and mechanical transport. www.scientificamerican.com/article/a-hu...

David Ho@davidho.bsky.social · 2y ago

A person on a bicycle is by far the most energy-efficient among animals and machines per distance traveled relative to body weight. The bicycle is magic. www.jstor.org/stable/24923...

A graph titled "Cost of Transport" showing the relationship between body weight (in kilograms) and energy consumption for distance traveled (calories per gram per kilometer) for various animals and machines. It highlights that a person on a bicycle ranks first in efficiency.

🧬 My haplotype paper is out! We show that deviations between within-sample and population-level haplotype frequencies can be used to estimate how many individuals contributed to an eDNA sample. No tissue references needed, just metabarcoding data and some population genetics. #eDNA #PopGen

Estimating Organism Abundance Using Within‐Sample Haplotype Frequencies of eDNA Data

Environmental DNA (eDNA) provides powerful insights into species presence and community composition but remains limited in its capacity to infer species abundance or population structure. Here, we sh...

onlinelibrary.wiley.com

Low-coverage sequencing (LCS) + genotype imputation is a cost-effective approach to genotype hundreds of samples at a full-genome level. But how do different imputation tools perform across populations with varying relatedness and inbreeding?

Check out our new paper on adopting a trait-based framework for protist diversity! We make the case for a unified protist trait database, how to build it, and how it could transform research on protist ecology and evolution. #protistsonsky

Pierre Ramond@pierreramond.bsky.social · 11mo ago

Hello there 🦋 Happy to share our piece "Towards a trait-based framework for protist ecology and evolution" in @cp-trendsmicrobiol.bsky.social Let's build a unified trait 📏 database to unlock transformative insights into protist 🔬 ecology 🌍 and evolution ⏳ ▶️ doi.org/10.1016/j.ti... #protistsonsky

Introducing Eukfinder! A bioinformatics pipeline that identifies eukaryotic sequences from metagenomic data. The tool is valuable for reference-independent and cultivation-free studies of eukaryotic microbial genomes from environmental samples. #mBio: asm.social/2nl

Schematic representation of Eukfinder workflows. Eukfinder is a taxonomic classification-based bioinformatics approach to retrieve microbial eukaryotic nuclear and mitochondrial genomes from WGS metagenomic sequencing data. Eukfinder has two different workflows based on the input files. (a) Eukfinder_short utilizes Illumina short reads, and the first round of classification assigns reads into 1 of 5 distinct taxonomic categories (Archaeal, Bacterial, Viral, Eukaryotic, and Unknown). Next, Eukaryotic and Unknown reads are assembled into contigs which undergo a second round of classification to generate potential eukaryotic sequences. (b) Eukfinder_long uses assembled contigs or long-read sequencing data and only performs one round of classification to select Eukaryotic and Unknown contigs. The potential eukaryotic contigs can then be further separated into MAGs by a separate binning workflow to generate draft eukaryotic nuclear and mitochondrial genomes.