Authors: Momeni, Jamal; Parejo, Melanie; Nielsen, Rasmus O.; Langa, Jorge; Montes, Iratxe; Papoutsis, Laetitia; Farajzadeh, Leila; Bendixen, Christian; Căuia, Eliza; Charrière, Jean Daniel; Coffey, Mary F.; Costa, Cecilia; Dall'Olio, Raffaele; De la Rúa, Pilar; Dražić, Marica Maja; Filipi, Janja; Galea, Thomas; Golubovski, Miroljub; Gregorc, Aleš; Grigoryan, Karina; Hatjina, Fani; Ilyasov, Rustem; Ivanova, Evgeniya Neshova; Janashia, Irakli; Kandemir, Irfan; Karatasou, Aikaterini; Kekecoglu, Meral; Kezic, Nikola; Matray, Enikö Sz; Mifsud, David; Moosbeckhofer, Rudolf; Nikolenko, Alexei G.; Papachristoforou, Alexandros; Petrov, Plamen; Pinto, M. Alice; Poskryakov, Aleksandr V.; Sharipov, Aglyam Y.; Siceanu, Adrian; Soysal, M. Ihsan; Uzunov, Aleksandar; Zammit Mangion, Marion; Vingborg, Rikke; Bouga, Maria; Kryger, Per; Meixner, Marina D.; Estonba, Andone
Venue: BMC Genomics
Type: Publication
Abstract: Abstract Background With numerous endemic subspecies representing four of its five evolutionary lineages, Europe holds a large fraction of Apis mellifera genetic diversity. This diversity and the natural distribution range have been altered by anthropogenic factors. The conservation of this natural heritage relies on the availability of accurate tools for subspecies diagnosis. Based on pool-sequence data from 2145 worker bees representing 22 populations sampled across Europe, we employed two highly discriminative approaches (PCA and FST) to sel...
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Impact:
4.743621E-8
4.885903E-9
60
47
/ Attention:
0
39
Topics: 
Evolutionary biology
Genetics
Computational biology
Reproducibility readiness:
D
Related works: 
Other 3
Dataset 7
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