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Author (up) Honorio Coronado, E.N.; Blanc-Jolivet, C.; Mader, M.; García-Dávila, C.R.; Gomero, D.A.; del Castillo Torres, D.; Llampazo, G.F.; Pizango, G.H.; Sebbenn, A.M.; Meyer-Sand, B.R.V.; Paredes-Villanueva, K.; Tysklind, N.; Troispoux, V.; Massot, M.; Carvalho, C.; de Lima, H.C.; Cardoso, D.; Degen, B. doi  openurl
  Title SNP markers as a successful molecular tool for assessing species identity and geographic origin of trees in the economically important South American legume genus Dipteryx Type Journal Article
  Year 2020 Publication Journal of Heredity Abbreviated Journal J. Hered.  
  Volume 111 Issue 4 Pages 346-356  
  Keywords Cumaru; Genetic assignment; Leguminosae; Timber verification; article; chloroplast; genetic association; genetic marker; geographic origin; indel mutation; nonhuman; single nucleotide polymorphism; species identification; structure analysis; tonka bean; Dipteryx; Fabaceae  
  Abstract Dipteryx timber has been heavily exploited in South America since 2000s due to the increasing international demand for hardwood. Developing tools for the genetic identification of Dipteryx species and their geographical origin can help to promote legal trading of timber. A collection of 800 individual trees, belonging to 6 different Dipteryx species, was genotyped based on 171 molecular markers. After the exclusion of markers out of Hardy-Weinberg equilibrium or with no polymorphism or low amplification, 83 nuclear, 29 chloroplast, 13 mitochondrial single nucleotide polymorphisms (SNPs), and 2 chloroplast and 5 mitochondrial INDELS remained. Six genetic groups were identified using Bayesian Structure analyses of the nuclear SNPs, which corresponded to the different Dipteryx species collected in the field. Seventeen highly informative markers were identified as suitable for species identification and obtained self-assignment success rates to species level of 78-96%. An additional set of 15 molecular markers was selected to determine the different genetic clusters found in Dipteryx odorata and Dipteryx ferrea, obtaining self-assignment success rates of 91-100%. The success to assign samples to the correct country of origin using all or only the informative markers improved when using the nearest neighbor approach (69-92%) compared to the Bayesian approach (33-80%). While nuclear and chloroplast SNPs were more suitable for differentiating the different Dipteryx species, mitochondrial SNPs were ideal for determining the genetic clusters of D. odorata and D. ferrea. These 32 selected SNPs will be invaluable genetic tools for the accurate identification of species and country of origin of Dipteryx timber. © The American Genetic Association 2020. All rights reserved. For permissions, please e-mail:  
  Address Instituto de Biologia, Universidade Federal da Bahia, Rua Barão de Jeremoabo, s.n., Ondina, Salvador, BA, 40170-115, Brazil  
  Corporate Author Thesis  
  Publisher Oxford University Press Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 00221503 (Issn) ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number EcoFoG @ webmaster @ Serial 965  
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