دورية أكاديمية
Species delimitation 4.0: integrative taxonomy meets artificial intelligence.
| العنوان: | Species delimitation 4.0: integrative taxonomy meets artificial intelligence. |
|---|---|
| المؤلفون: | Karbstein K; Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, 07745 Jena, Germany. Electronic address: kkarb@bgc-jena.mpg.de., Kösters L; Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, 07745 Jena, Germany., Hodač L; Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, 07745 Jena, Germany., Hofmann M; Technical University of Ilmenau, Institute for Computer and Systems Engineering, 98693 Ilmenau, Germany., Hörandl E; University of Göttingen, Albrecht-von-Haller Institute for Plant Sciences, Department of Systematics, Biodiversity and Evolution of Plants (with Herbarium), 37073 Göttingen, Germany., Tomasello S; University of Göttingen, Albrecht-von-Haller Institute for Plant Sciences, Department of Systematics, Biodiversity and Evolution of Plants (with Herbarium), 37073 Göttingen, Germany., Wagner ND; University of Göttingen, Albrecht-von-Haller Institute for Plant Sciences, Department of Systematics, Biodiversity and Evolution of Plants (with Herbarium), 37073 Göttingen, Germany., Emerson BC; Institute of Natural Products and Agrobiology (IPNA-CSIC), Island Ecology and Evolution Research Group, 38206 La Laguna, Tenerife, Canary Islands, Spain., Albach DC; Carl von Ossietzky-Universität Oldenburg, Institute of Biology and Environmental Science, 26129 Oldenburg, Germany., Scheu S; University of Göttingen, Johann-Friedrich-Blumenbach Institute of Zoology and Anthropology, 37073 Göttingen, Germany; University of Göttingen, Centre of Biodiversity and Sustainable Land Use (CBL), 37073 Göttingen, Germany., Bradler S; University of Göttingen, Johann-Friedrich-Blumenbach Institute of Zoology and Anthropology, 37073 Göttingen, Germany., de Vries J; University of Göttingen, Institute for Microbiology and Genetics, Department of Applied Bioinformatics, 37077 Göttingen, Germany; University of Göttingen, Campus Institute Data Science (CIDAS), 37077 Göttingen, Germany; University of Göttingen, Göttingen Center for Molecular Biosciences (GZMB), Department of Applied Bioinformatics, 37077 Göttingen, Germany., Irisarri I; Leibniz Institute for the Analysis of Biodiversity Change (LIB), Centre for Molecular Biodiversity Research, Phylogenomics Section, Museum of Nature, 20146 Hamburg, Germany., Li H; Eastern China Conservation Centre for Wild Endangered Plant Resources, Chenshan Botanical Garden, 201602 Shanghai, China., Soltis P; University of Florida, Florida Museum of Natural History, 32611 Gainesville, USA., Mäder P; Technical University of Ilmenau, Institute for Computer and Systems Engineering, 98693 Ilmenau, Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany; Friedrich Schiller University Jena, Faculty of Biological Sciences, Institute of Ecology and Evolution, Philosophenweg 16, 07743 Jena, Germany., Wäldchen J; Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, 07745 Jena, Germany; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany. |
| المصدر: | Trends in ecology & evolution [Trends Ecol Evol] 2024 Aug; Vol. 39 (8), pp. 771-784. Date of Electronic Publication: 2024 Jun 06. |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Science Publishers Country of Publication: England NLM ID: 8805125 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8383 (Electronic) Linking ISSN: 01695347 NLM ISO Abbreviation: Trends Ecol Evol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Barking : Elsevier Science Publishers Original Publication: Amsterdam [Netherlands] : Elsevier Science Publishers B.V. [(Biomedical Division)], c1986- |
| مواضيع طبية MeSH: | Artificial Intelligence* , Classification*/methods, Biodiversity ; Genomics |
| مستخلص: | Although species are central units for biological research, recent findings in genomics are raising awareness that what we call species can be ill-founded entities due to solely morphology-based, regional species descriptions. This particularly applies to groups characterized by intricate evolutionary processes such as hybridization, polyploidy, or asexuality. Here, challenges of current integrative taxonomy (genetics/genomics + morphology + ecology, etc.) become apparent: different favored species concepts, lack of universal characters/markers, missing appropriate analytical tools for intricate evolutionary processes, and highly subjective ranking and fusion of datasets. Now, integrative taxonomy combined with artificial intelligence under a unified species concept can enable automated feature learning and data integration, and thus reduce subjectivity in species delimitation. This approach will likely accelerate revising and unraveling eukaryotic biodiversity. Competing Interests: Declaration of interests No interests are declared. (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.) |
| فهرسة مساهمة: | Keywords: integrative taxon-omics; machine learning; reticulate evolution; species delimitation; taxonomically complex groups |
| تواريخ الأحداث: | Date Created: 20240607 Date Completed: 20240807 Latest Revision: 20240808 |
| رمز التحديث: | 20240809 |
| DOI: | 10.1016/j.tree.2023.11.002 |
| PMID: | 38849221 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1872-8383 |
|---|---|
| DOI: | 10.1016/j.tree.2023.11.002 |