Charlie Hale

@charleshale.bsky.social

PhD student in the Buckler Lab at Cornell. Genomics, evolution, agriculture.

I'm hiring a postdoc to lead sedimentary aDNA reconstructions of alpine plant biodiversity as part of a broader project exploring the mechanisms of alpine plant resilience. Come join a collaborative team working in beautiful places! Bonus: postdocs at UMaine are unionized!

Postdoctoral Research Associate

The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the stat...

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Hale et al. analysed >500 grass genomes to support a “stable motifs, variable binding sites” model of cis-regulatory evolution that involves turnover of thousands of individual binding sites while preserving TF binding preferences. 🔗 doi.org/10.1093/molbev/msaf324 #evobio #molbio #PlantSky

Widespread turnover of a conserved cis-regulatory code across 589 grass species

Abstract. The growing availability of genomes from non-model organisms offers new opportunities to identify functional loci underlying trait variation thro

doi.org

Year 1 data on congestion pricing in Manhattan… * Vehicle traffic: -11% * Foot traffic: +3.4% * Storefront vacancy: -0.9% * Pollution: -22% * Revenue for mass transit: $548M So YES this has been a huge success.

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Our paper is out in MBE! doi.org/10.1093/molb... We tracked TF binding site evolution across 589 grass species, and found that while binding preferences are pretty stable over 80 million years of evolution, individual binding sites have turned over a lot. Thread here: bsky.app/profile/char...

Grasses share a conserved set of cis-regulatory motifs, but individual motif instances have turned over repeatedly across 80 million years of evolution.
Charlie Hale@charleshale.bsky.social · last yr.

New preprint from my PhD! How cis-regulatory evolution shaped grass diversification worldwide www.biorxiv.org/content/10.1... We looked across 589 (!) grass species to ask: — What regulatory changes enabled grasses to adapt? — How can this inform crop breeding for resilience? Here’s what we found:

Are you planning to attend Botany 2025? Consider applying to be a PLANTS mentor! You'll be paired with another mentor to help your mentee network, comprehend talks, and discuss grad school and careers, all while making them feel welcome in the botany community. (1/2)

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Super proud of @alyssa-phillips.bsky.social 's paper, now out on biorxiv! She resolves the origin(s) of polyploid big blue-stem, a dominant species in the midwest tall-grass prairie. Her common garden analysis also informs on environmental adaptation and hints at the impacts of polyploidy.

The origins and adaptive consequences of polyploidy in a dominant prairie grass

Polyploidy is ubiquitous across North American prairies, which provide essential ecosystem services and rich soil for agriculture. Yet the mechanism driving polyploid abundance is unclear. Multiple hy...

biorxiv.org

Available now in @asn-amnat.bsky.social ! Taking on some big-scale natural history: processed >40k @inaturalist.bsky.social images of Monarda fistulosa using computer vision to query for flower presence and phenotype flower color: doi.org/10.1086/739413

High-throughput iNaturalist image analysis reveals flower color divergence in Monarda fistulosa | The American Naturalist: Vol 0, No ja

doi.org

Patrick McKenzie@patrickmckenzie.bsky.social · last yr.

New preprint out today! A really fun collaboration with @shchurch.bsky.social and Robin Hopkins in which we study flower color variation in Monarda fistulosa using iNaturalist data. We process >40,000 images and use them to phenotype flower color in >16,000 observations: doi.org/10.1101/2025...

Figure 1: Steps with representative photographs of the flower color phenotyping pipeline. A) We exported all research-grade iNaturalist observations of Monarda fistulosa from GBIF. B) We used GPT-4o to classify each image as to whether it contained a flower. C) We trained a Roboflow semantic segmentation model on a subset of images and applied the trained model to extract “flower” pixels from each image in the dataset. D) We calculated the geometric median of each set of extracted pixels to represent the flower color phenotype from each image, and we paired this phenotype with the observation’s iNaturalist metadata for spatial analysis.

I just like to post these data from time to time to puncture the mythological aura of mid 20th c protests. They were less popular than pretty much any 21st c mass action & people criticizing them used the same lines. Protest is about people coming together, shaping narratives, & building power.

Polling data from Harris & Associates 1966. 
Q: Do you approve of what Freedom Riders are Doing? 22% approve 61%disapprove18%no opinion.