Darrin T. Schultz

Darrin T. Schultz

@dts.bsky.social

Assistant Professor, Biological Sciences & Oceans Research Center @ Lehigh. Chromosome-scale comparative genomics, early animal evolution, bioluminescence. Recruiting PhD students and postdocs. 日本語/Deutsch https://evogeno.me https://github.com/conchoecia

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I'm thrilled to share that I've started as an Assistant Professor in Biological Sciences and the Oceans Research Center at Lehigh University! I'm building a group in evolutionary genomics to study the origin of animals, and to use those concepts to better understand human disease. More: evogeno.me

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I would like to note that 39% of the genomes were from labs or institutions that submitted 20 or fewer! Individual contributions are still critical, even in the age with large sequencing consortia. Contact me if you'd like me to connect you to resources to start your own genome assembly project!

That's all for now! Thank you for reading, thanks to our editors and reviewers for helping us improve our manuscript, and contact us/me if you have any questions!

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4. The smaller pieces, each standalone. odp draws chromosome-scale dot plots between any two species. chromsim simulates fusion-with-mixing. breakpointer2 infers inversion breakpoints from whole-genome alignments. Check the supplement for links to the software! github.com/conchoecia/odp

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2. egt, the analysis software Every method in the paper is a subcommand: ALG fusion and dispersal inference, the topology embeddings, clade-specific locus pairs, the rate-through-time analyses, GO enrichment. Point it at your own clade! check the repo for more info. github.com/conchoecia/egt

3. Two things you can click around to explore the genome data: I built an interactive version of the genome map. Hover any of the dots, search by taxon, lasso a region, export the table. This is useful for seeing how similar one genome is to others! atlas.evogeno.me

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I also want to write a bit more about the technical side of the paper. This is a tree-of-life-scale dataset, so I needed to write special tools to work with the complete set of animal genomes available to us during the writing and revision process! There are 4 main resources you'll want:

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One example. A translation initiation gene and a V-ATPase subunit sit head to head, under 5 kb apart, in 90.4% of the 2,113 vertebrate species we checked. In humans, a single transcription factor (TF) binds between them. Outside vertebrates they are on the same chromosome but don't share that TF!

So, just like the choices we make close the past and open new opportunities, chromosomal changes do the same. Fusions, inversions, and other changes wreck local interactions, but build the new neighborhoods that new regulation can be built on.

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Do heavily rearranged genomes eventually converge on some shared scrambled state? No. We embedded every genome by its internal architecture. Flies, nematodes, leeches, comb jellies and octopus are all thoroughly reshuffled, and each ends up somewhere different.

Genes thrown together by a fusion-with-mixing or regular inversion can then stay together for hundreds of millions of years. We call this entanglement (sorry, physicists): a new neighborhood becomes hard to separate, plausibly because the new neighbors begin sharing regulation (but often neutral).

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Lineages tend to leave the ancestral karyotype in two opposite directions. Consolidation: fuse inward. True oysters have fused their way down to 10 chromosomes, and all 29 ancestral units are still intact inside them. Dissociation: break or duplicate outward. Octopus, leeches, vertebrates.

One of my favorite tidbits from the paper is that species with a lot of chromosomes tend to have very few chromosomal fusions or ALG losses (see lamprey - right). How high chromosome numbers and whether fusions are selected against is a fantastic (albeit very expensive) next question!

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If you zoom in to what is happening in single chromosomes, there is a big spectrum of how much mixing within chromosomes (inversions) has happened. Some of the fastest are covered in other papers, like clitellate annelids. In this paper we discuss cephalopods (fast) and other mollusks (slow).

Chromosome evolution is also not a steady clock! While this topic deserves its own unique study and requires further calibration, we found differing bursts, rates, and dips of chromosome fusion and fissions (splits) across different clades in the animal tree.

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DNA doesn't "sit still" though. Rarely, two chromosomes fuse. Internal inverted pieces gradually shuffle the two halves into each other, like shuffling two decks of cards. We call it fusion-with-mixing, and once you shuffle, you can't un-shuffle. Sometimes they don't shuffle after fusing.

There are exactly 406 ways to pick two of those 29 ancestral units and fuse them (29 choose 2). Every single one has happened somewhere in the animal tree! At the whole-chromosome scale, evolution has sampled the entire menu.

(Almost) Every animal alive today descends from an ancestor whose genome was built from around 29 ancestral units of linked genes. More than 600 million years later, those 29 are still detectable across all animals, and we can use them to reconstruct the history of chromosomes over time.

I'm thrilled to share that I've started as an Assistant Professor in Biological Sciences and the Oceans Research Center at Lehigh University! I'm building a group in evolutionary genomics to study the origin of animals, and to use those concepts to better understand human disease. More: evogeno.me

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This fall I'm teaching Marine Biology to undergraduate and graduate students! Next semester is likely a genomics lab or seminar. This really is a dream job, in a department and at a university that have been remarkably generous, supportive, and professional to me and all other brand-new PIs.

I'm thrilled to share that I've started as an Assistant Professor in Biological Sciences and the Oceans Research Center at Lehigh University! I'm building a group in evolutionary genomics to study the origin of animals, and to use those concepts to better understand human disease. More: evogeno.me

I'm looking for students and postdocs with burning questions about fundamental biology -- people who want to generate their own data at the bench or in the field, and use our lab's computational foundation to answer them.

My lab space in Iacocca Hall is nearly finished! We will be set up for single-cell/organismal genomics, cell culture, mouse work, and marine invertebrate culture.

One thing I'm doing since joining the Tan Lab @ Stanford is working on the computational stack of 3D genome research. I put Dip-C v1.0 out as a release! This is an archive of the original Python 2 code from the single-cell 3D genomes in Science, Nat Struct Mol Biol, and Cell (2018–2023). 🧬

A little late, but there is a fun new chapter in my life! I joined Longzhi Tan's lab at Stanford Neurobiology in November, and am now working on single-cell 3D architecture, neurodegeneration, and aging. Excited to bring a comparative genomics perspective to these topics. 🧬 Tan lab: 3dgeno.me

3dgeno.meTan Lab @ StanfordLongzhi Tan's Laboratory of 3D Genomics at Stanford Neurobiology studies single-cell 3D genome architecture in development and aging by developing next-generation in vivo multi-omic assays and algorit...

I feel a lot of gratitude for Oleg Simakov, my labmates, and the Dept. of Neuroscience and Developmental Biology at @univie.ac.at the University of Vienna. We worked on understanding chromosome evolution across the history of animal evolution, and I grew a lot in that time.

Darrin T. Schultz reposted

Final version @nature.com of our paper describing unconventional multicellular development in a choanoflagellate inhabiting an extreme environment. A ton of new data since the first @biorxivpreprint.bsky.social preprint (which we've kept updating). A brief 🧵 (carried over from the old place)

Nature Portfolio@natureportfolio.nature.com

A study in Nature shows that the single-celled form of a tiny, aquatic organism can turn into a multicellular version by three different routes. The discovery adds insight to the possible origins of multicellular life, suggesting a previously unrecognized degree of flexibility. 🧪

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