|Loridon, K - INRA-URLEG|
|Morin, J - INRA-SGV|
|Dubreuil, P - INRA-URLEG|
|Pilet-Nayel, M - INRA-APBV|
|Aubert, G - INRA-URLEG|
|Rameau, C - INRA-SGAP|
|Baranger, A - INRA-APBV|
|Lejeune-Henault, I - INRA-SGV|
|Burstin, J - INRA-URLEG|
Submitted to: Journal of Theoretical and Applied Genetics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: June 9, 2005
Publication Date: October 1, 2005
Citation: Loridon, K., Mcphee, K.E., Morin, J., Dubreuil, P., Pilet-Nayel, M.L., Aubert, G., Rameau, C., Baranger, A., Coyne, C.J., Lejeune-Henault, I., Burstin, J. 2005. Microsatellite marker polymorphism and mapping in pea (Pisum sativum L.). Journal of Theoretical and Applied Genetics 111:1022-1031. Interpretive Summary: Pea has been the subject of numerous genetic and physiological studies over the past two centuries and extensive genetic maps are available. However, comparison of map position for individual genes among current maps is difficult due to the non-transferrable nature of the dominant markers providing the basis for the maps. Co-dominant sequence tagged microsatellite (STMS) markers have the unique advantage of being transferrable between populations, thereby, allowing comparison based on common markers. Optimum polymerase chain reaction conditions and level of polymporphism were detemined for 340 and 300 STMS markers, respectively. The level of polymorphism was high and averaged 3.8 alleles per polymorphic locus. A consensus map based on three distinct populations covering 1439.2 cM and comprised of 581 markers including 243 STMS markers was developed. The STMS markers are evenly distributed throughout the seven linkage groups of pea, with a mean spacing between adjacent markers of 5.9 cM. The consensus map is expected to serve as a framework for pea geneticists and breeders to align future genetic maps of pea.
Technical Abstract: Reliable and cost effective genotyping conditions are important when mapping traits in agronomic crops. The goals of this research were to determine the level of polymorphism in a range of genotypes and to place a maximum number of microsatellite markers on the Pisum genetic map in order to promote broad application of these markers as a common set for genetic studies in pea. Optimal PCR conditions were determined for 340 microsatellite markers based on amplification in 8 genotypes. Levels of polymorphism were determined for 300 of these markers. When compared to data obtained for other species, the levels of polymorphism detected in the panel of 8 genotypes were high with a mean number of 3.8 alleles per polymorphic locus and an average PIC value of 0.63, indicating that pea represents a rather polymorphic autogamous species. Data obtained from 3 different crosses were used to build a composite genetic map of 1439.2 cM (Haldane) comprising 243 microsatellite markers. These include 230 anonymous SSRs developed from enriched genomic libraries and 13 SSRs located in genes. The markers are quite evenly distributed throughout the seven linkage groups of the map, with a mean spacing between adjacent SSR markers of 5.9 cM. There was generally good conservation of marker order and linkage group assignment across different populations. In conclusion, we hope that this report will promote wide application of these markers and will allow information obtained by different laboratories around the world in diverse fields of pea genetics, such as QTL mapping studies and genetic resource surveys, to be easily aligned.