Iain Johnston
@mitomaths
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Stochastic Biology Group: using maths, stats, and experiments to learn about biology and disease. We love organelles and oDNA, evolution, noise, and inference.
University of Bergen, Norway
Joined January 2013
‼️Two new PhD positions open! One experimental, one modelling, exploring these beautiful collective dynamics in mitochondria across species. 🇳🇴, good pay, full staff benefits. [Shares much appreciated] Lab: https://t.co/uolwFCXoBr Modelling:
jobbnorge.no
Job title: PhD Research Fellow in modelling collective mitochondrial dynamics (292037), Employer: University of Bergen, Deadline: Sunday, January 18, 2026
Here's a mitochondrial "social network" (tracking encounters) emerging over time from their collective dynamics in a plant cell. This picture helps us understand their capacity to share and exchange biomolecules 🔬🌱🫂 Read more https://t.co/MY9Hbp3FkA ; https://t.co/ykf0ZMrjhw
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Mitochondria, hypercubes, and a blackboard -- what a lot of favourite things for J Evol Biol this month! Thanks to all involved for a smooth and pleasant review editorial process; https://t.co/9sqSqxN2C8
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An RNA splicing system that excises DNA transposons from animal mRNAs | Nature
nature.com
Nature - A new type of mRNA splicing mechanism discovered in Caenorhabditis elegans that detects and removes inverted repeats also occurs in human cells, thereby providing another strategy to...
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Just amazing stuff. Using the persistent archives of ancient genes with planetary geochemistry to see how the world got its O₂ billions of years ago. https://t.co/jIvygtT4o0 And then fall down the rabbit hole of Earth's history! https://t.co/RamVKPEkYy
https://t.co/LITJe3l5jb
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It is much, much more likely than 1e-300 that someone snuck into your lab and deliberately edited all your data to give a ridiculously low p-value. Or that an alligator walked across your keyboard without noticing. Or...
The first rule of Data Science - if your p-value is less than 1 over the number of atoms in the universe, you're using the wrong model.
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New preprint! (by @kieran_s_owens) Of interest to anyone who analyzes time-series data!: "Time-series dimension reduction: a comprehensive review and conceptual unification of algorithms" https://t.co/mdoiHLBjPC
#timeseries #dimensionreduction #complexsystems
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It’s not every day that some maths outreach can conceivably help improve public health. In the wake(field?) of this ridiculous and dangerous change to the CDC’s vaccine messaging, here’s my attempt to contribute. https://t.co/OM05vfKVRC
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Gosh, just blocked the owner of this site's account for the first time, and immediately my feed is back to science & interesting critique of science, and empty of fury, boring AI content & promotion, and irrational scifi. Highly recommend this, if I'm not the last to this party!
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Group website has had a bit of an overhaul! Still (and always) a work in progress, but do come and take a look https://t.co/oiQuTHMHNw
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The ol' mitochondria working hard between science chats this week! Beautiful autumn vibes in Bergen, and great meeting old and new colleagues 🇳🇴
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👍 For as many as possible, regardless of the accident of their birth situation! (some wholesome comments underneath too)
can't shake the feeling that the only real way to prevent people from getting sucked into the digital slop vortex is to make the physical world more beautiful, nourishing, convivial, kind
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Evolution of antibiotic resistance is stochastic - but are the routes (and subsequent consequences) drawn from a fundamental distribution? We try to answer that with experimental evolution in staph aureus here: https://t.co/nxA4BEy4Vr
pnas.org
Staphylococcus aureus bacteremia is typically treated empirically with vancomycin, with therapy later tailored based on susceptibility results. How...
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Would love to hear any feedback; we continue to believe that EvAM applied to AMR (learning evolutionary history) can be a powerful complement to genomic surveys (focussing on the present). Thanks for reading!
biorxiv.org
Antimicrobial resistance (AMR) is a substantial and growing global health burden. Understanding, and predicting, its evolution in specific pathogens will help responses across scales from individual...
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Understanding evolutionary dynamics lets us form future predictions. We tested these predictions with newly sequenced data from decades of clinical study in Tanzania. Fitted model retrospectively predicted those previously unobserved accumulation dynamics! 4/
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Interesting, but very high-dimensional, so we project down to find the principal axes of diversity in evolutionary behaviour -- and what predicts them. They're linked both to public health region and drug use regimens 3/
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Following the ideas in https://t.co/7AW5Jn1lTN about applying evol accumulation modelling (EvAM) to AMR, we use genomics data to infer the orderings of character accumulation behind observed Klebsiella AMR profiles across countries (e.g. Romania here), with global average in D 2/
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