Todd Oakley

Todd Oakley

@ostratodd.bsky.social

I am an evolutionary and marine biologist interested in how new structures and functions originate during evolution. Eyes, vision; photophores, bioluminescence. Macroevolution. Phylogenetics. Molecular Evolution. Integrative and Comparative Biology.

1.9K followers1.7K following240 posts

Todd Oakley reposted

I don’t think everyone realizes how bad things are for US science: For the fiscal year that just ended, the Trump regime withheld $1.4 billion from the National Science Foundation’s research budget, which is about 1/5 of its primary research budget.

nytimes.comNational Science Foundation Diverted $1.4 Billion in Science Funds Mandated by Congress (Gift Article)The move, affecting about one-fifth of the National Science Foundation’s primary research budget, is the latest sign of how the White House is asserting more control over grants.

Todd Oakley reposted

Todd Oakley reposted

Two weeks left to apply for our postdoc position on vision in trilobites! Come and explore the exciting world of reconstructing vision in the fossil record, using some of the most iconic extinct animals to grace our oceans! Please reach out + RT! (*Deadline in fact 23.59 BST on the 26th August!*)

Lauren Sumner-Rooney@laurensr.bsky.social

📢 JOB ALERT! 📢 I am recruiting a 30-month postdoc to work on modelling the vision of trilobites @hfspo.bsky.social ! If you like 3D data, fossils, and functional morphology, this is the one for you! 📆Deadline 27. Aug Pls contact me with any Qs and share widely! www.bristol.ac.uk/jobs/find/de...

Todd Oakley reposted

Hey Philadelphia!! Do you want this mural on your building?? Here’s what we’re looking for: You must own the building. Must be in Philly The flatter the surface the better! The more people that will see it the better. We want to install in September Email me if that's you SkypeAScientist@gmail.com

Todd Oakley reposted

McDermott et al. (2026-07, Proceedings of the Royal Society B: Biological Sciences) 「動物における対称性の進化に対する形態系統学的アプローチ」 A morphological phylogenetic approach to the evolution of symmetry in animals doi.org/10.1098/rspb... うおおおおおおお!!!!!

Happy to share that this paper led by @caberger.bsky.social with @stoilovamarina.bsky.social @rebeccavarney.bsky.social @pcart.bsky.social Sam Abrams and Maria Pia is published -- Unexpectedly predictable molecular evolution with diverse ecologies 🧪 🧬 🌊 #Molevol #EvoBio www.pnas.org/doi/10.1073/...

pnas.orgPNASProceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
Todd Oakley@ostratodd.bsky.social

We started by studying gene reuse in eyes over deep time -- but were astonished to find adaptive molecular convergence to be rampant and not directly related to important traits, including eyes. Led by PD Cory Berger www.biorxiv.org/content/10.6...

Todd Oakley reposted

UC Davis Ecology & Evolution Grad Preview Program is accepting applications until July 20th! It's a fully virtual program where you are paired with a grad student mentor and learn about what grad school entails, how to apply, and what student life is like! Please share widely!

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We also noticed that day time metablic rate seemed lower than night time. We'd also noticed during our years of field work that ostracods seem to "sleep" during the day

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Adriana and Dan know fiber optic respirometry and we wanted to try it with sea fireflies. So a UCSB glassblower made custom vessels where we could measure oxygen depletion in a closed container where ostracods could also signal. In that original video, the blue streaks are signals in cylinders

We also used smaller vessels that did not permit courtship signaling. We were able to quantify the metabolic demands associated with courtship compared to swimming along (medium vessels) and low activity demands (small vessels).

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I was talking about this with co-author Dan Speiser at a SICB conference and he and his lab have been measuring oxygen consumption. So we dreamed of doing this one day with signaling sea fireflies

The closest published work on that question found that luxorines (sea fireflies) could produce a lot of signals before exhausting their stores. Yet I often wondered about the impact of the swimming they must do. These little guys swim and stop rapidly to make the signals

Todd Oakley reposted

Todd Oakley reposted

Replying to @biorxiv-behav.bsky.social

In quick succession, a fun behavior project with data collected by co-authors before I even knew what an ostracod was! Also happy for another paper with JG Morin, who discovered these ostracods in 1979. Good to have a citation for how these lil shrimp with big lights actually defend themselves

The formatted paper is now out in MBE - describing OPTICS software to predict color sensitivy based on opsin sequence alone: academic.oup.com/mbe/article/...

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Todd Oakley@ostratodd.bsky.social

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

Todd Oakley reposted

Interested in #macroevolution, #macroecology, and mountain biodiversity? I'm recruiting a #postdoc for an NSF-funded project at Yale, in collaboration with Martha Muñoz (Yale) and Maya Stokes (Florida State University). I'll be at #Evol2026 and happy to chat! Link below

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

academic.oup.comAccessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype MapAbstract. Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is
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OPTICS is out now, and we’re excited to see what people do with it. Stay tuned for more developments — and please get in touch if you have ideas, questions, cool opsins, or organisms with mysterious visual worlds! 🌈👁️✨

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

academic.oup.comAccessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype MapAbstract. Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is
View full thread

Colleagues around the world are already using these approaches to predict opsin phenotypes in krill, fishes, and other amazing organisms. It is opening the door to asking how visual systems evolve across environments and across the tree of life. 🌊🐟🦐

We are also using simulations of opsin evolution to ask how things like epistasis shape phenotypic diversity. In other words: how do molecular changes interact with each other to affect how visual systems evolve?

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

academic.oup.comAccessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype MapAbstract. Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is
View full thread

Why are we excited? Because this gives us a practical genotype–phenotype map for opsins. We can now make informed predictions about visual sensitivity very quickly and easily, even when physiology is hard to measure directly.

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

academic.oup.comAccessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype MapAbstract. Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is
View full thread

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

academic.oup.comAccessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype MapAbstract. Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is
View full thread

The story actually began with a failed grant proposal 😅 Even though the proposal was never funded, it forced us to think hard about what the field needed: better organized data, better tools, and more accessible ways to predict functions from gene sequences

We started building the Visual Physiology Opsin Database, bringing together opsins and measured visual pigment sensitivities, giving us training data for machine learning. Published with collaborators from GW who built deepBreaks, the engine that powers OPTICS academic.oup.com/gigascience/...

academic.oup.comDiscovering genotype–phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD)AbstractBackground. Predicting phenotypes from genetic variation is foundational for fields as diverse as bioengineering and global change biology, highlig

🧵 New paper! We’re excited to release OPTICS: software that immediately predicts color sensitivity from any opsin protein sequence. In other words: give OPTICS any opsin sequence, and it predicts the wavelength of light the pigment is most sensitive to 🌈👁️ academic.oup.com/mbe/advance-...

academic.oup.comAccessible and Robust Machine Learning Approaches to Improve the Opsin Genotype-Phenotype MapAbstract. Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is

We are on a long road toward a big goal: predicting phenotype from genotype For vision, one key phenotype we are starting with is spectral sensitivity - the color of light a visual pigment “sees” best

Todd Oakley reposted