RT Journal Article
T1 SNP selected by information content outperform randomly selected microsatellite loci for delineating genetic identification and introgression in the endangered dark European honeybee (Apis mellifera mellifera)
A1 Muñoz Gabaldón, Irene
A1 Henriques, Dora
A1 Jara, Laura
A1 Johnston, Spencer
A1 Chávez Galarza, Julio
A1 Rúa, Pilar de la
A1 Pinto, Alice
AB The honeybee (Apis mellifera) has been threatened by multiple factors including pests and pathogens, pesticides and loss of locally adapted gene complexes due to replacement and introgression. In western Europe, the genetic integrity of the native A. m. mellifera (M-lineage) is endangered due to trading and intensive queen breeding with commercial subspecies of eastern European ancestry (C-lineage). Effective conservation actions require reliable molecular tools to identify pure-bred A. m. mellifera colonies. Microsatellites have been preferred for identification of A. m. mellifera stocks across conservation centres. However, owing to high throughput, easy transferability between laboratories and low genotyping error, SNPs promise to become popular. Here, we compared the resolving power of a widely utilized microsatellite set to detect structure and introgression with that of different sets that combine a variable number of SNPs selected for their information content and genomic proximity to the microsatellite loci. Contrary to every SNP data set, microsatellites did not discriminate between the two lineages in the PCA space. Mean introgression proportions were identical across the two marker types, although at the individual level, microsatellites' performance was relatively poor at the upper range of Q-values, a result reflected by their lower precision. Our results suggest that SNPs are more accurate and powerful than microsatellites for identification of A. m. mellifera colonies, especially when they are selected by information content.
PB Wiley
SN 1755-098X
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/97372
UL https://hdl.handle.net/20.500.14352/97372
LA eng
NO Muñoz, Irene, et al. «SNP s Selected by Information Content Outperform Randomly Selected Microsatellite Loci for Delineating Genetic Identification and Introgression in the Endangered Dark European Honeybee ( Apis Mellifera Mellifera )». Molecular Ecology Resources, vol. 17, n.o 4, julio de 2017, pp. 783-95. https://doi.org/10.1111/1755-0998.12637.
NO Research Funding:Fundación Seneca. Grant Numbers: 19149/PD/13-N, 19908-GERM-15University of Murcia. Grant Number: R-1017/2015 PhD Scholarships. Grant Numbers: SFRH/BD/68682/2010, SFRH/BD/84195/2012 Portuguese Science Foundation (FCT) COST Action FA1307 (SUPER-B) COMPETE/QREN/EU. Grant Number: PTDC/BIA-BEC/099640/2008 BiodivERsA/FACCE-JPI. Grant Number: 138573 - BiodivERsA/0002/2014
NO Universidad de Murcia
NO Portuguese Foundation for Science and Technology
NO Consejo Superior de Investigaciones Científicas
DS Docta Complutense
RD 9 abr 2025