Construction of an improved linkage map of diploid alfalfa (Medicago sativa)

Citation
P. Kalo et al., Construction of an improved linkage map of diploid alfalfa (Medicago sativa), THEOR A GEN, 100(5), 2000, pp. 641-657
Citations number
74
Categorie Soggetti
Plant Sciences","Animal & Plant Sciences
Journal title
THEORETICAL AND APPLIED GENETICS
ISSN journal
00405752 → ACNP
Volume
100
Issue
5
Year of publication
2000
Pages
641 - 657
Database
ISI
SICI code
0040-5752(200003)100:5<641:COAILM>2.0.ZU;2-8
Abstract
An improved genetic map of diploid (2n=2x=16) alfalfa has been developed by analyzing the inheritance of more than 800 genetic markers on the F-2 popu lation of 137 plant individuals. The F-2 segregating population derived fro m a self-pollinated F-1 hybrid individual of the cross Medicago sativa ssp. quasifalcata x Medicago sativa ssp, coerulea. This mapping population was the same one which had been used for the construction of our previous alfal fa genetic map. The genetic analyses were performed by using maximum-likeli hood equations and related computer programs. The improved genetic map of a lfalfa in its present form contains 868 markers (four morphological, 12 iso zyme, 26 seed protein, 216 RFLP, 608 RAPD and two specific PCR markers) in eight linkage groups. Of the markers 80 are known genes, including 2 previo usly cytologically localized genes, the rDNA and the beta-tubulin loci. The genetic map covers 754 centimorgans (cM) with an average marker density of 0.8/cM. The correlation between the physical and genetic distances is abou t 1000-1300 kilobase pairs per centi-Morgan. In this map, the linkage relat ionships of some markers on linkage groups 6, 7, and 8 are different from t he previously published one. The cause of this discrepancy was that the gen etic linkage of markers displaying distorted segregation (characterized by an overwhelming number of heterozygous individuals) had artificially linked genetic regions that turned out to be unlinked. To overcome the disadvanta geous influence of the excess number of heterozygous genotypes on the recom bination fractions. we used recently described maximum-likelihood formulas and colormapping, which allowed us to exclude the misleading linkages and t o estimate the genetic distances more precisely.