Unraveling hidden species diversity of talpid moles using phylogenomics and skull-based deep learning.

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Title: Unraveling hidden species diversity of talpid moles using phylogenomics and skull-based deep learning.
Authors: He K; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China.; Department of Biological Sciences, University of Manitoba, Winnipeg, MB, Canada., Li A; School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China., Martinez Q; Staatliches Museum für Naturkunde Stuttgart, Stuttgart, Germany., Wang X; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Chen Z; Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, School of Ecology and Environment, Anhui Normal University, Wuhu, China., He S; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China., Xie S; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Zeng Z; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Wang K; School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China., Ye Z; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Ruan H; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Liu S; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Lu Q; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Zheng X; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Luo J; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Song W; Institute of Pathogens and Vectors, Dali University, Dali, China., Schwermann A; LWL-Museum für Naturkunde, Westfälisches Landesmuseum mit Planetarium, Münster, Germany., Yu H; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Yu W; Key Laboratory of Conservation and Application in Biodiversity of South China, School of Life Sciences, Guangzhou University, Guangzhou, China., Springer MS; Department of Evolution, Ecology and Organismal Biology, University of California, Riverside, Riverside, CA, USA., Liu S; Sichuan Academy of Forestry, Chengdu, China., Li S; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China., Tu F; Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou, China., Cao Z; School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China. zhongc@gzhu.edu.cn., Campbell KL; Department of Biological Sciences, University of Manitoba, Winnipeg, MB, Canada. kevin.campbell@umanitoba.ca.
Source: Communications biology [Commun Biol] 2026 Jun 08. Date of Electronic Publication: 2026 Jun 08.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group UK Country of Publication: England NLM ID: 101719179 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2399-3642 (Electronic) Linking ISSN: 23993642 NLM ISO Abbreviation: Commun Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2399-3642
DOI:10.1038/s42003-026-10392-9