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Species delimitation 4.0: integrative taxonomy meets artificial intelligence.

Authors :
Karbstein K
Kösters L
Hodač L
Hofmann M
Hörandl E
Tomasello S
Wagner ND
Emerson BC
Albach DC
Scheu S
Bradler S
de Vries J
Irisarri I
Li H
Soltis P
Mäder P
Wäldchen J
Source :
Trends in ecology & evolution [Trends Ecol Evol] 2024 Aug; Vol. 39 (8), pp. 771-784. Date of Electronic Publication: 2024 Jun 06.
Publication Year :
2024

Abstract

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.<br />Competing Interests: Declaration of interests No interests are declared.<br /> (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
1872-8383
Volume :
39
Issue :
8
Database :
MEDLINE
Journal :
Trends in ecology & evolution
Publication Type :
Academic Journal
Accession number :
38849221
Full Text :
https://doi.org/10.1016/j.tree.2023.11.002