Todd Oakley at UCSB studies the evolutionary origins of complexity - esp visual systems and bioluminescence in invertebrates. mastodon: @[email protected]
One of my favorite things about studying these amazing creatures is telling the world about them. This article goes a long way toward capturing the wonder and awe! https://t.co/AiHGSSXEtF
I am thrilled to announce publication of a new paper led by Seth Frazer, showing we can accurately predict opsin phenotypes from their gene sequences https://t.co/cJtuRApNEO...
Seth is also developing a tool called Opsin Phenotyping Tool for Inferring Color Sensitivity (OPTICS), where you just plug in an opsin and predict its lambda max. If you want to try it, get in touch. In this figure from OPTICS, I predicted lambda max of a box jellyfish opsin
Invertebrates have far less data, so those opsins are not as well predicted. But we are working on adding data from physiology, like MSP (microspectrophotometry) and ERG (electroretinograms) that we can link with specific opsin genes
Excited to co-organize this @APSphysics MM session with @maziyarj & invited speakers @ShengqiangCai + @UCSB_OakleyLab ⚡️
… to explore how light shapes life and how life creates & uses light to sustain itself!
If this sounds like your research, submit your abstract & join us!
By linking bioluminescence to ancient secretory pathways, we’re broadening the scope of how species use partly conserved yet simultaneously diverse secreted products in ecological interactions
Congratulations to @LisaMesrop and other co-authors on a new publication in @OfficialSMBE ! We explore how ancient secretory pathways contributed to the evolution of bioluminescence in ostracods. LINK: https://t.co/f2iQLkC5Tk #Bioluminescence#Evolution
This supports what we call the "legacy-plus-innovation" model, where new evolutionary innovations merge with older, conserved pathways. Bioluminescence is not just a light show—in part it uses an ancient evolutionary toolbox used for survival and communication
How many paths lead to evolutionary innovation? How versatile are genomic toolkits? Excited to announce my new preprint addressing these questions in collaboration with @RokasLab, @HittingerLab, and @mwpen (link at the end)
MS student Seth is a little worried his poster is out in a dark corner #SMBE2024 . If you are interested in using Machine Learning to link genotype and phenotype, head to the dark side! Also preprint! https://t.co/NXfT3dI1U5
"Instead of measuring the number of papers and the impact factor of the journals in which they are published, scientists should be judged on the basis of data sharing, transparency, reproducibility, collaboration, mentorship, and communication." 1/3