Skip to main content
Article
Evaluation of SNP Genotyping in Alpacas Using the Bovine HD Genotyping Beadchip
Frontiers in Genetics
  • Manuel More, Universidad Nacional Agraria La Molina
  • Gustavo Gutierrez, Universidad Nacional Agraria La Molina
  • Max Rothschild, Iowa State University
  • Francesca Bertolini, Technical University of Denmark
  • F. Abel Ponce de Leon, University of Minnesota - Twin Cities
Document Type
Article
Publication Version
Published Version
Publication Date
4-1-2019
DOI
10.3389/fgene.2019.00361
Abstract

Alpacas are one of four South American Camelid species living in the highlands of the Andes. Production of alpaca fiber contributes to the economy of the region and the livelihood of many rural families. Fiber quantity and quality are important and in need of a modern breeding program based on genomic selection to accelerate genetic gain. To achieve this is necessary to discover enough molecular markers, single nucleotide polymorphisms (SNPs) in particular, to provide genome coverage and facilitate genome wide association studies to fiber production characteristics. The aim of this study was to discover alpaca SNPs by genotyping forty alpaca DNA samples using the BovineHD Genotyping Beadchip. Data analysis was performed with GenomeStudio (Illumina) software. Because different filters and thresholds are reported in the literature we investigated the effects of no-call threshold (≥0.05, ≥0.15, and ≥0.25) and call frequency (≥0.9 and =1.0) in identifying positive SNPs. Average GC Scores, calculated as the average of the 10% and 50% GenCall scores for each SNP (≥0.70) and the GenTrain score ≥ 0.25 parameters were applied to all comparisons. SNPs with minor allele frequency (MAF) ≥ 0.05 or ≥ 0.01 were retained. Since detection of SNPs is based on the stable binding of oligonucleotide probes to the target DNA immediately adjacent to the variant nucleotide, all positive SNP flanking sequences showing perfect alignments between the bovine and alpaca genomes for the first 21 or 26 nucleotides flanking the variant nucleotide at either side were selected. Only SNPs localized in one scaffold were assumed unique. Unique SNPs identified in both reference genomes were kept and mapped on the Vicugna_pacos 2.0.2 genome. The effects of the no-call threshold ≥ 0.25, call frequency = 1 and average GC ≥ 0.7 were meaningful and identified 6756 SNPs of which 400 were unique and polymorphic (MAF ≥ 0.01). Assignment to alpaca chromosomes was possible for 292 SNPs. Likewise, 209 SNPs were localized in 202 alpaca gene loci and 29 of these share the same loci with the dromedary. Interestingly, 69 of 400 alpaca SNPs have 100% similarity with dromedary.

Comments

This article is published as More, Manuel, Gustavo Gutiérrez, Max Rothschild, Francesca Bertolini, and F. Abel Ponce de León. "Evaluation of SNP Genotyping in Alpacas Using the Bovine HD Genotyping Beadchip." Frontiers in Genetics 10 (2019): 361. doi: 10.3389/fgene.2019.00361.

Creative Commons License
Creative Commons Attribution 4.0 International
Copyright Owner
More, Gutiérrez, Rothschild, Bertolini and Ponce de León
Language
en
File Format
application/pdf
Citation Information
Manuel More, Gustavo Gutierrez, Max Rothschild, Francesca Bertolini, et al.. "Evaluation of SNP Genotyping in Alpacas Using the Bovine HD Genotyping Beadchip" Frontiers in Genetics Vol. 10 (2019) p. 361
Available at: http://works.bepress.com/max-rothschild/267/