Literature DB >> 15471810

Microarrays and beyond: what potential do current and future genomics tools have for breeders?

B Walsh1, D Henderson.   

Abstract

One of the most exciting tools from genomics is the ability to obtain a whole-genome snapshot of gene expression. This is typically called a microarray analysis, because probes for the genes of interest, which can run into the thousands, are spotted in a very small array on a glass slide or some other substrate. The resulting array is often called a gene chip, or simply a chip, in the case of short oligo arrays, or slides in the case of cDNA or long oligo arrays. Microarrays offer the awesome potential of simultaneously examining the level of expression, where expression is intended to measure the standing amount of mRNA, for all of the genes in a genome. Given this potential, it is not surprising that microarrays have attracted a great deal of attention from animal geneticists and breeders. The purpose of this review is to provide a brief, yet critical, overview of some of the potential uses of such whole-genome expression studies in applied animal breeding and to speculate about what additional forthcoming tools might be of use.

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Year:  2004        PMID: 15471810     DOI: 10.2527/2004.8213_supplE292x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  4 in total

1.  Gene expression analysis identifies new candidate genes associated with the development of black skin spots in Corriedale sheep.

Authors:  Francisco Peñagaricano; Pilar Zorrilla; Hugo Naya; Carlos Robello; Jorge I Urioste
Journal:  J Appl Genet       Date:  2011-09-28       Impact factor: 3.240

2.  A mixture model approach for the analysis of small exploratory microarray experiments.

Authors:  W M Muir; G J M Rosa; B R Pittendrigh; S Xu; S D Rider; M Fountain; J Ogas
Journal:  Comput Stat Data Anal       Date:  2009-03-15       Impact factor: 1.681

Review 3.  From genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding.

Authors:  Haja N Kadarmideen; Peter von Rohr; Luc L G Janss
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

Review 4.  Genetics and genomics of disease resistance in salmonid species.

Authors:  José M Yáñez; Ross D Houston; Scott Newman
Journal:  Front Genet       Date:  2014-11-26       Impact factor: 4.599

  4 in total

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