More Like this

1. The phylogeny and divergence times of leaf-mining flies (Diptera: Agromyzidae) from anchored phylogenomics

   https://doi.org/10.1016/j.ympev.2023.107778  

   Xuan, Jing-Li; Scheffer, Sonja J.; Lewis, Matt; Cassel, Brian K.; Liu, Wan-Xue; Wiegmann, Brian M. (July 2023, Molecular Phylogenetics and Evolution)
2. Molecular Phylogeny, Revised Higher Classification, and Implications for Conservation of Endangered Hawaiian Leaf-Mining Moths (Lepidoptera: Gracillariidae: Philodoria )

   https://doi.org/10.2984/70.3.7  

   Johns, Chris A.; Moore, Matthew R.; Kawahara, Akito Y. (July 2016, Pacific Science)
3. Phylogeny, biogeography and diversification of the mining bee family Andrenidae

   https://doi.org/10.1111/syen.12530  

   Bossert, Silas; Wood, Thomas J.; Patiny, Sébastien; Michez, Denis; Almeida, Eduardo A.; Minckley, Robert L.; Packer, Laurence; Neff, John L.; Copeland, Robert S.; Straka, Jakub; et al (April 2022, Systematic Entomology)
4. Mapping of specialized metabolite terms onto a plant phylogeny using text mining and large language models

   https://doi.org/10.1111/tpj.16906  

   Busta, Lucas; Hall, Drew; Johnson, Braidon; Schaut, Madelyn; Hanson, Caroline_M; Gupta, Anika; Gundrum, Megan; Wang, Yuer; A_Maeda, Hiroshi (July 2024, The Plant Journal)

   SUMMARY Plants produce a staggering array of chemicals that are the basis for organismal function and important human nutrients and medicines. However, it is poorly defined how these compounds evolved and are distributed across the plant kingdom, hindering a systematic view and understanding of plant chemical diversity. Recent advances in plant genome/transcriptome sequencing have provided a well‐defined molecular phylogeny of plants, on which the presence of diverse natural products can be mapped to systematically determine their phylogenetic distribution. Here, we built a proof‐of‐concept workflow where previously reported diverse tyrosine‐derived plant natural products were mapped onto the plant tree of life. Plant chemical‐species associations were mined from literature, filtered, evaluated through manual inspection of over 2500 scientific articles, and mapped onto the plant phylogeny. The resulting “phylochemical” map confirmed several highly lineage‐specific compound class distributions, such as betalain pigments and Amaryllidaceae alkaloids. The map also highlighted several lineages enriched in dopamine‐derived compounds, including the orders Caryophyllales, Liliales, and Fabales. Additionally, the application of large language models, using our manually curated data as a ground truth set, showed that post‐mining processing can largely be automated with a low false‐positive rate, critical for generating a reliable phylochemical map. Although a high false‐negative rate remains a challenge, our study demonstrates that combining text mining with language model‐based processing can generate broader phylochemical maps, which will serve as a valuable community resource to uncover key evolutionary events that underlie plant chemical diversity and enable system‐level views of nature's millions of years of chemical experimentation. 

   more » « less
5. LEAF: Logger for ecological and atmospheric factors

   https://doi.org/10.1016/j.ohx.2019.e00079  

   Matheny, Ashley M.; Marchetto, Peter; Powell, Je'aime; Rechner, Austin; Chuah, Joon-yee; McCormick, Erica; Pierce, Suzanne A. (October 2019, HardwareX)