The potential of microarrays to assist shrimp breeding and production: a review

2005 ◽  
Vol 45 (8) ◽  
pp. 901 ◽  
Author(s):  
K. J. Wilson ◽  
E. de la Vega

The shrimp aquaculture industry is a relatively new livestock industry, having developed over the past 30 years. Thus, it is poised to take advantage of new technologies from the outset of selective breeding programs. This contrasts with long established livestock industries, where there are already highly specialised breeds. This review focuses specifically on the potential application of microarrays to shrimp breeding. Potential applications of microarrays in selective breeding programs are summarised. Microarrays can be used as a rapid means to generate molecular markers for genetic linkage mapping, and genetic maps have been constructed for yeast, Arabidopsis and barley using microarray technology. Microarrays can also be used in the hunt for candidate genes affecting particular traits, leading to development of perfect markers for these traits (i.e. causative mutations). However, this requires that microarray analysis be combined with genetic linkage mapping, and that substantial genomic information is available for the species in question. A novel application of microarrays is to treat gene expression as a quantitative trait in itself and to combine this with linkage mapping to identify quantitative trait loci controlling the levels of gene expression; this approach may identify higher level regulatory genes in specific pathways. Finally, patterns of gene expression observed using microarrays may themselves be treated as phenotypic traits in selection programs (e.g. a particular pattern of gene expression might be indicative of a disease tolerant individual). Microarrays are now being developed for a number of shrimp species in laboratories around the world, primarily with a focus on identifying genes involved in the immune response. However, at present, there is no central repository of shrimp genomic information, which limits the rate at which shrimp genomic research can be progressed. The application of microarrays to shrimp breeding will be extremely limited until there is a shared repository of genomic information for shrimp, and the collective will and resources to develop comprehensive genomic tools for shrimp.

2002 ◽  
Vol 80 (9) ◽  
pp. 2276-2285
Author(s):  
C. Désautés ◽  
J. P. Bidanel ◽  
D. Milan ◽  
N. Iannuccelli ◽  
Y. Amigues ◽  
...  

2002 ◽  
Vol 80 (9) ◽  
pp. 2276 ◽  
Author(s):  
C. Désautés ◽  
J. P. Bidanel ◽  
D. Milan ◽  
N. Iannuccelli ◽  
Y. Amigues ◽  
...  

1999 ◽  
Vol 10 (1-2) ◽  
pp. 69-78 ◽  
Author(s):  
T. L. Kubisiak ◽  
C. D. Nelson ◽  
J. Nowak ◽  
A. L. Friend

2001 ◽  
Vol 14 (3) ◽  
pp. 302-306 ◽  
Author(s):  
K. C. Hwang ◽  
K. D. Song ◽  
T. H. Kim ◽  
D. K. Jeong ◽  
S. H. Sohn ◽  
...  

2011 ◽  
Vol 91 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Shanoor Hossain ◽  
Joe Panozzo ◽  
Chris Pittock ◽  
Rebecca Ford

Hossain, S., Panozzo, J. F., Pittock, C. and Ford, R. 2011. Quantitative trait loci analysis of seed coat color components for selective breeding in chickpea (Cicer arietinumL.). Can. J. Plant Sci. 91: 49–55. Chickpea (Cicer arietinum L.) is an annual grain legume, grown worldwide for human consumption with the potential to attract premium prices in markets such as India, Bangladesh and southern Asia. The ability to accurately select for seed coat color, an important export quality trait, would greatly benefit chickpea breeding programs. In order to determine the major genomic loci governing the color trait, the color components of CIE L* (luminance), CIE a* (red/green color) and CIE b* (blue/yellow color), C* (chroma or saturation of the color) and h° (hue or purity of the color) were mapped, and associated molecular markers were identified. A linkage map was constructed with 80 SSR markers distributed over 10 linkage groups at an average marker density of 2.8 cM. Two major quantitative trait loci (QTL), which accounted for up to 36 and 49% of the genetic variance and several smaller genetic effects were determined to govern the color components. These were consistent across two differing environments. Once validated, the markers that are close to and flanking these QTL and significantly associated with the minor gene effects will be useful in future color selective breeding programs.


Genomics ◽  
1995 ◽  
Vol 29 (3) ◽  
pp. 781-783 ◽  
Author(s):  
FRANCINE DUROCHER ◽  
JEAN MORISSETTE ◽  
ISABELLE DUFORT ◽  
JACQUES SIMARD ◽  
VAN LUU-THE

1999 ◽  
Vol 77 (3) ◽  
pp. 791 ◽  
Author(s):  
S J Kenealy ◽  
K S Kim ◽  
Z Hu ◽  
M F Rothschild

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