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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessReview
Microarrays 2015, 4(4), 570-595; doi:10.3390/microarrays4040570

Efficient SNP Discovery by Combining Microarray and Lab-on-a-Chip Data for Animal Breeding and Selection

1
Department of Animal Science, National Taiwan University, Taipei 10617, Taiwan
2
Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, Taipei 10617, Taiwan
3
Department of Animal Science, Chinese Culture University, Taipei 11114, Taiwan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Jari Louhelainen
Received: 4 August 2015 / Revised: 16 October 2015 / Accepted: 28 October 2015 / Published: 16 November 2015
(This article belongs to the Special Issue SNP Array)
View Full-Text   |   Download PDF [2097 KB, uploaded 16 November 2015]   |  

Abstract

The genetic markers associated with economic traits have been widely explored for animal breeding. Among these markers, single-nucleotide polymorphism (SNPs) are gradually becoming a prevalent and effective evaluation tool. Since SNPs only focus on the genetic sequences of interest, it thereby reduces the evaluation time and cost. Compared to traditional approaches, SNP genotyping techniques incorporate informative genetic background, improve the breeding prediction accuracy and acquiesce breeding quality on the farm. This article therefore reviews the typical procedures of animal breeding using SNPs and the current status of related techniques. The associated SNP information and genotyping techniques, including microarray and Lab-on-a-Chip based platforms, along with their potential are highlighted. Examples in pig and poultry with different SNP loci linked to high economic trait values are given. The recommendations for utilizing SNP genotyping in nimal breeding are summarized. View Full-Text
Keywords: economic traits; swine; chicken; marker-assisted selection (MAS) economic traits; swine; chicken; marker-assisted selection (MAS)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Huang, C.-W.; Lin, Y.-T.; Ding, S.-T.; Lo, L.-L.; Wang, P.-H.; Lin, E.-C.; Liu, F.-W.; Lu, Y.-W. Efficient SNP Discovery by Combining Microarray and Lab-on-a-Chip Data for Animal Breeding and Selection. Microarrays 2015, 4, 570-595.

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