Species delimitation 4.0: integrative taxonomy meets artificial intelligence☆

被引：14

作者：

Karbstein, Kevin ^{[1
]}

Koesters, Lara ^{[1
]}

Hodac, Ladislav ^{[1
]}

Hofmann, Martin ^{[2
]}

Hoerandl, Elvira ^{[3
]}

Tomasello, Salvatore ^{[3
]}

Wagner, Natascha D. ^{[3
]}

Emerson, Brent C. ^{[4
]}

Albach, Dirk C. ^{[5
]}

Scheu, Stefan ^{[6
,7
]}

Bradler, Sven ^{[6
]}

de Vries, Jan ^{[8
,9
,10
]}

Irisarri, Iker ^{[11
]}

Li, He ^{[12
]}

Soltis, Pamela ^{[13
]}

Maeder, Patrick ^{[2
,14
,15
]}

Waeldchen, Jana ^{[1
,14
]}

机构：

[1] Max Planck Inst Biogeochem, Dept Biogeochem Integrat, D-07745 Jena, Germany

[2] Tech Univ Ilmenau, Inst Comp & Syst Engn, D-98693 Ilmenau, Germany

[3] Univ Gottingen, Albrecht von Haller Inst Plant Sci, Dept Systemat Biodivers & Evolut Plants Herbarium, D-37073 Gottingen, Germany

[4] Inst Nat Prod & Agrobiol IPNA CSIC, Isl Ecol & Evolut Res Grp, Tenerife 38206, Canary Islands, Spain

[5] Carl von Ossietzky Univ Oldenburg, Inst Biol & Environm Sci, D-26129 Oldenburg, Germany

[6] Univ Gottingen, Johann Friedrich Blumenbach Inst Zool & Anthropol, D-37073 Gottingen, Germany

[7] Univ Gottingen, Ctr Biodivers & Sustainable Land Use CBL, D-37073 Gottingen, Germany

[8] Univ Gottingen, Inst Microbiol & Genet, Dept Appl Bioinformat, D-37077 Gottingen, Germany

[9] Univ Gottingen, Campus Inst Data Sci CIDAS, D-37077 Gottingen, Germany

[10] Univ Gottingen, Gottingen Ctr Mol Biosci GZMB, Dept Appl Bioinformat, D-37077 Gottingen, Germany

[11] Leibniz Inst Anal Biodivers Change LIB, Museum Nat, Ctr Mol Biodivers Res, Phylogen Sect, D-20146 Hamburg, Germany

[12] Eastern China Conservat Ctr Wild Endangered Plant, Chenshan Bot Garden, Shanghai 201602, Peoples R China

[13] Univ Florida, Florida Museum Nat Hist, Gainesville, FL 32611 USA

[14] German Ctr Integrat Biodivers Res iDiv, Puschstr 4, D-04103 Leipzig, Germany

[15] Friedrich Schiller Univ Jena, Inst Ecol & Evolut, Fac Biol Sci, Philosophenweg 16, D-07743 Jena, Germany

来源：

TRENDS IN ECOLOGY & EVOLUTION | 2024年 / 39卷 / 08期

基金：

欧洲研究理事会; 中国国家自然科学基金;

关键词：

GENOME EVOLUTION; CLASSIFICATION; HYBRIDIZATION; POLYPLOIDY; PHYLOGENY; INFERENCE; NETWORKS; SYSTEMS;

D O I：

10.1016/j.tree.2023.11.002

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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 vored 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 proach will likely accelerate revising and unraveling eukaryotic biodiversity.

引用

页码：771 / 784

页数：14

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