Literature DB >> 33669871

Development of a 76k Alpaca (Vicugna pacos) Single Nucleotide Polymorphisms (SNPs) Microarray.

Marcos Calderon1,2, Manuel J More1, Gustavo A Gutierrez1, Federico Abel Ponce de León3.   

Abstract

Small farm producers' sustenance depends on their alpaca herds and the production of fiber. Genetic improvement of fiber characteristics would increase their economic benefits and quality of life. The incorporation of molecular marker technology could overcome current limitations for the implementation of genetic improvement programs. Hence, the aim of this project was the generation of an alpaca single nucleotide polymorphism (SNP) microarray. A sample of 150 Huacaya alpacas from four farms, two each in Puno and Cerro de Pasco were used for SNP discovery by genotyping by sequencing (GBS). Reduced representation libraries, two per animal, were produced after DNA digestion with ApeK1 and double digestion with Pst1-Msp1. Ten alpaca genomes, sequenced at depths between 12× to 30×, and the VicPac3.1 reference genome were used for read alignments. Bioinformatics analysis discovered 76,508 SNPs included in the microarray. Candidate genes SNPs (302) for fiber quality and color are also included. The microarray SNPs cover 90.5% of the genome length with a density of about 39 ± 2.51 SNPs/Mb of DNA at an average interval of 26.45 ± 18.57 kbp. The performance was evaluated by genotyping 30 family trios and comparing them to their pedigrees, as well as comparing microarray to GBS genotypes. Concordance values of 0.93 and 0.94 for ApeK1 and Pst1-Msp1 generated SNPs were observed. Similarly, 290 fiber quality and color candidate gene SNPs were validated. Availability of this microarray will facilitate genome-wide association studies, marker-assisted selection and, in time, genomic selection.

Entities:  

Keywords:  Vicugna pacos; alpaca; fiber genes; microarrays; single nucleotide polymorphisms (SNPs)

Mesh:

Substances:

Year:  2021        PMID: 33669871      PMCID: PMC7923280          DOI: 10.3390/genes12020291

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  28 in total

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Journal:  Am J Hum Genet       Date:  2010-12-17       Impact factor: 11.025

2.  Cross-species chromosome painting among camel, cattle, pig and human: further insights into the putative Cetartiodactyla ancestral karyotype.

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Journal:  Chromosome Res       Date:  2007-06-29       Impact factor: 5.239

3.  A comprehensive whole-genome integrated cytogenetic map for the alpaca (Lama pacos).

Authors:  Felipe Avila; Malorie P Baily; Polina Perelman; Pranab J Das; Joan Pontius; Renuka Chowdhary; Elaine Owens; Warren E Johnson; David A Merriwether; Terje Raudsepp
Journal:  Cytogenet Genome Res       Date:  2015-02-06       Impact factor: 1.636

4.  A non-synonymous SNP in exon 3 of the KIT gene is responsible for the classic grey phenotype in alpacas (Vicugna pacos).

Authors:  M Jones; C Sergeant; M Richardson; D Groth; S Brooks; K Munyard
Journal:  Anim Genet       Date:  2019-07-12       Impact factor: 3.169

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Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

6.  Genomic analysis of the domestication and post-Spanish conquest evolution of the llama and alpaca.

Authors:  Ruiwen Fan; Zhongru Gu; Xuanmin Guang; Juan Carlos Marín; Valeria Varas; Benito A González; Jane C Wheeler; Yafei Hu; Erli Li; Xiaohui Sun; Xukui Yang; Chi Zhang; Wenjun Gao; Junping He; Kasper Munch; Russel Corbett-Detig; Mario Barbato; Shengkai Pan; Xiangjiang Zhan; Michael W Bruford; Changsheng Dong
Journal:  Genome Biol       Date:  2020-07-02       Impact factor: 13.583

7.  Evaluation of SNP Genotyping in Alpacas Using the Bovine HD Genotyping Beadchip.

Authors:  Manuel More; Gustavo Gutiérrez; Max Rothschild; Francesca Bertolini; F Abel Ponce de León
Journal:  Front Genet       Date:  2019-04-24       Impact factor: 4.599

8.  Design of a high density SNP genotyping assay in the pig using SNPs identified and characterized by next generation sequencing technology.

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Journal:  PLoS One       Date:  2009-08-05       Impact factor: 3.240

9.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

10.  Cytogenetic Mapping of 35 New Markers in the Alpaca (Vicugna pacos).

Authors:  Mayra N Mendoza; Terje Raudsepp; Manuel J More; Gustavo A Gutiérrez; F Abel Ponce de León
Journal:  Genes (Basel)       Date:  2020-05-08       Impact factor: 4.096

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