A comprehensive framework for the delimitation of species within the Bemisia tabaci cryptic complex, a global pest-species group

Wang Hua-Ling, Lei Teng, Wang Xiaowei, Cameron Stephen L., Navas-Castillo Jesús, Liu Yin-Quan, Maruthi M.N., Omongo Christopher A., Delatte Hélène, Lee Kyeong-Yeoll, Krause-Sakate Renate, Ng James, Seal Susan, Fiallo-Olivé Elvira, Bushley Kathryn, Colvin John, Liu Shu-Sheng. 2024. A comprehensive framework for the delimitation of species within the Bemisia tabaci cryptic complex, a global pest-species group. Insect Science, 22 p.

Résumé : Identifying cryptic species poses a substantial challenge to both biologists and naturalists due to morphological similarities. Bemisia tabaci is a cryptic species complex containing more than 44 putative species; several of which are currently among the world's most destructive crop pests. Interpreting and delimiting the evolution of this species complex has proved problematic. To develop a comprehensive framework for species delimitation and identification, we evaluated the performance of distinct data sources both individually and in combination among numerous samples of the B. tabaci species complex acquired worldwide. Distinct datasets include full mitogenomes, single-copy nuclear genes, restriction site-associated DNA sequencing, geographic range, host speciation, and reproductive compatibility datasets. Phylogenetically, our well-supported topologies generated from three dense molecular markers highlighted the evolutionary divergence of species of the B. tabaci complex and suggested that the nuclear markers serve as a more accurate representation of B. tabaci species diversity. Reproductive compatibility datasets facilitated the identification of at least 17 different cryptic species within our samples. Native geographic range information provides a complementary assessment of species recognition, while the host range datasets provide low rate of delimiting resolution. We further summarized different data performances in species classification when compared with reproductive compatibility, indicating that combination of mtCOI divergence, nuclear markers, geographic range provide a complementary assessment of species recognition. Finally, we represent a model for understanding and untangling the cryptic species complexes based on the evidence from this study and previously published articles.

Mots-clés Agrovoc : Bemisia tabaci, phylogénie, identification, distribution géographique, biologie moléculaire, marqueur génétique, taxonomie, ravageur des plantes, Gossypium hirsutum, espèce cryptique, virus des végétaux, Gossypium, biodiversité

Mots-clés libres : Bemisia tabaci, Cryptic species, Phylogenetics, RAD-Seq, Reproductive compatibility, Whiteflies

Classification Agris : H10 - Ravageurs des plantes

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Auteurs et affiliations

• Wang Hua-Ling, Agricultural University of Hebei (CHN) - auteur correspondant
• Lei Teng, Taizhou Univeristy (CHN)
• Wang Xiaowei, Zhejiang University (CHN)
• Cameron Stephen L., Purdue University (USA)
• Navas-Castillo Jesús, Instituto de Hortofruticultura Subtropical y Mediterránea La Mayora (ESP)
• Liu Yin-Quan, Zhejiang University (CHN)
• Maruthi M.N., University of Greenwich (GBR)
• Omongo Christopher A., NaCRRI (UGA)
• Delatte Hélène, CIRAD-BIOS-UMR PVBMT (REU)
• Lee Kyeong-Yeoll, Kyungpook National University (KOR)
• Krause-Sakate Renate, UNESP (BRA)
• Ng James, UC (USA)
• Seal Susan, University of Greenwich (GBR)
• Fiallo-Olivé Elvira, Instituto de Hortofruticultura Subtropical y Mediterránea La Mayora (ESP)
• Bushley Kathryn, USDA (USA)
• Colvin John, University of Greenwich (GBR) - auteur correspondant
• Liu Shu-Sheng, Zhejiang University (CHN) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/609041/)

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