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Molecular identification of selected bees from the Indian Himalaya: A preliminary effort
Institution:1. State Key Laboratory of Biocontrol, School of Life Sciences/School of Ecology, Sun Yat-sen University, Guangzhou 510275, China;2. Universidade Federal do Espírito Santo, Departamento de Ciências Biológicas, Av. Fernando Ferrari 514, Goiabeiras, 29.075-910, Vitória, ES, Brazil;1. Department of Nematology, Tamil Nadu Agricultural University, Coimbatore 641003, India;2. Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore 641003, India;1. Department of Plant Protection, College of Horticulture and Landscape, Tianjin Agricultural University, 22 Jinjing Road, Tianjin 300384, China;2. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China;3. Tianjin Institute of Plant Protection, Tianjin Academy of Agricultural Sciences, Tianjin 300384, China;4. Institute of Entomology, College of Life Sciences, Nankai University, 94 Weijin Road, Tianjin 300071, China;5. South Australian Museum, Department of Terrestrial Invertebrates, Adelaide, SA 5000, Australia;1. Graduate School of Education, University of the Ryukyus, Nishihara, Okinawa 903-0213, Japan;2. Global Education Institute, University of the Ryukyus, Okinawa 903-0213, Japan;3. Research Institute for Sustainable Humanosphere, Kyoto University, Uji, Kyoto 611-0011, Japan;1. Department of Biology, College of Science, Taibah University, Al-Madinah Al-Munawwarah 344, Saudi Arabia;2. Department of Economic Entomology, Kafrelsheikh University, Kafrelsheikh 33516, Egypt;3. Department of Zoology, Faculty of Science, Ain Shams University, Cairo 11566, Egypt
Abstract:DNA barcoding has largely been tested for a wide range of taxa and evidenced as a reliable and rapid molecular tool for species-level identification. The present study lends to generate 156 DNA barcodes, of which 141 belonged to 30 morphologically identified bees from the Indian Himalayan Regions (IHRs). The generated barcode data along with 84 sequences of global database distinctly discriminated all the studied species with sufficient genetic distances and cohesive monophyletic clustering in Bayesian analysis (BA) phylogeny. The species delimitation methods, Automatic Barcode Gap Discovery (ABGD), Bayesian Poisson-Tree-Processes (bPTP), and General Mixed Yule-coalescent (GMYC) yielded 68, 70, and 71 molecular operational taxonomic units (MOTUs) respectively. The present DNA barcode-based examination detected the possible cryptic diversity in two Apis species (A. cerana and A. dorsata), Bombus hypnorum, Lepidotrigona arcifera, and Ceratina sutepensis. The present study also evidenced the species complexes within Bombus albopleuralis and Bombus trifasciatus in the IHRs. The species delimitation methods also detected an additional seven putative species from the IHRs, which were identified up to the genus level. In conclusion, this preliminary effort helps to develop a reliable barcode database of bees from the Indian IHRs to facilitate the future systematics study. These molecular data can be utilized to evaluate the population structures and assist to formulate the effective plans for bee conservation.
Keywords:Hymenoptera  Wild bees  Molecular study  Morphology  Phylogeny
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