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A connectomics-based taxonomy of mammals

A connectomics-based taxonomy of mammals

来源:bioRxiv_logobioRxiv
英文摘要

Mammalian taxonomies are conventionally defined by morphological traits and genetics. How species differ in terms of neural circuits and whether inter-species differences in neural circuit organization conform to these taxonomies is unknown. The main obstacle for the comparison of neural architectures have been differences in network reconstruction techniques, yielding species-specific connectomes that are not directly comparable to one another. Here we comprehensively chart connectome organization across the mammalian phylogenetic spectrum using a common reconstruction protocol. We analyze the mammalian MRI (MaMI) data set, a database that encompasses high-resolution ex vivo structural and diffusion magnetic resonance imaging (MRI) scans of 124 species across 12 taxonomic orders and 5 superorders, collected using a single protocol on a single scanner. We assess similarity between species connectomes using two methods: similarity of Laplacian eigenspectra and similarity of multiscale topological features. We find greater inter-species similarities among species within the same taxonomic order, suggesting the connectome organization recapitulates traditional taxonomies defined by morphology and genetics. While all connectomes retain hallmark global features and relative proportions of connection classes, inter-species variation is driven by local regional connectivity profiles. By encoding connectomes into a common frame of reference, these findings establish a foundation for investigating how neural circuits change over phylogeny, forging a link from genes to circuits to behaviour.

Yovel Yossi、van den Heuvel Martijn P.、Sporns Olaf、Assaf Yaniv、Misic Bratislav、Su¨¢rez Laura E.、Lajoie Guillaume

School of Neurobiology, Biochemistry and Biophysics, Tel Aviv UniversityCenter for Neurogenomics and Cognitive Research, Vrije Universiteit AmsterdamPsychological and Brain Sciences, Indiana UniversitySchool of Neurobiology, Biochemistry and Biophysics, Tel Aviv UniversityMontr¨|al Neurological Institute, McGill UniversityMontr¨|al Neurological Institute, McGill UniversityMila, Quebec Artificial Intelligence Institute

10.1101/2022.03.11.483995

生物科学研究方法、生物科学研究技术生物科学理论、生物科学方法动物学

Yovel Yossi,van den Heuvel Martijn P.,Sporns Olaf,Assaf Yaniv,Misic Bratislav,Su¨¢rez Laura E.,Lajoie Guillaume.A connectomics-based taxonomy of mammals[EB/OL].(2025-03-28)[2025-05-15].https://www.biorxiv.org/content/10.1101/2022.03.11.483995.点此复制

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