Title
Genetic diversity and validation of a microsatellite panel for parentage testing for alpacas (Vicugna pacos) on three Peruvian farms
Date Issued
01 December 2020
Access level
metadata only access
Resource Type
journal article
Publisher(s)
Elsevier B.V.
Abstract
The alpaca is of greatest economic importance in the Peruvian High Andes. This study aimed to determine the genetic diversity of three Peruvian alpaca farms, as well as, to validate a microsatellite markers panel for paternity testing. In this study, 247 samples of Huacaya alpacas were taken from three different localities (Sanjo, San Pedro de Raco and Cachipampa) from Pasco Region in Peru. DNA was obtained from hair follicles and genotyped for 15 microsatellites markers in multiplex electrophoresis runs. A total of 225 alleles were detected across the 15 loci investigated. The polymorphism information content considering all loci was 0.82, which indicated that the microsatellite panel was very polymorphic and highly informative. The estimated diversity parameter showed that farms have high levels of genetic diversity (HE = 0.826), and revealed the existence of genetic differentiation among the farms (FST = 2.8 %). The highest inbreeding coefficient was in the Sanjo farm (FIS = 0.303). The results of the parentage testing indicated that all loci showed values greater than 70 % probability of discrimination. However, the highest values found were 94 % (YWLL08) and 90 % (YWLL36). The average of the probability of exclusion obtained was 0.999994 if the genotype for one alleged parents is known, and 0.99999 if the genotypes for both alleged parents are known. The results obtained show that there is a high genetic diversity and validate the panel of microsatellite markers, that would help to improve the identification system and genealogical data collection.
Volume
193
Language
English
OCDE Knowledge area
Ciencia veterinaria
Subjects
Scopus EID
2-s2.0-85092501099
Source
Small Ruminant Research
ISSN of the container
09214488
Sponsor(s)
The authors acknowledge the financial support from VLIR-UOS funding of the UNALM (IUC) programme . Opinion of the authors do not automatically reflect those of either the Belgian government or VLIR-UOS, and can bind neither the Belgian Government nor VLIR-UOS.
Sources of information:
Directorio de Producción Científica
Scopus