Use of the advanced backcross-QTL method to transfer seed mineral accumulation nutrition traits from wild to Andean cultivated common beans.
ABSTRACT Iron deficiency anemia and zinc deficiency are major health concerns across the world and can be addressed by biofortification breeding of higher mineral concentration in staple crops, such as common bean. Wild common beans have for the most part had higher average seed mineral concentration than cultivars of this species but have small un-commercial seeds. A logical approach for the transfer of the seed mineral trait from wild beans to cultivated beans is through the advanced backcross breeding approach. The goal of this study was to analyze a population of 138 BC(2)F(3:5) introgression lines derived from the very high iron wild genotype G10022 backcrossed into the genetic background of the commercial-type variety 'Cerinza', a large-red seeded bush bean cultivar of the Andean genepool. In addition to measuring seed mineral accumulation traits and the quantitative trait loci (QTL) controlling these traits we were interested in simultaneously testing the adaptation of the introgression lines in two replicated yield trials. We found the cross to have high polymorphism and constructed an anchored microsatellite map for the population that was 1,554-cM long and covered all 11 linkage groups of the common bean genome. Through composite interval mapping (CIM) and single point analysis (SPA), we identified associations of markers and mineral traits on b01, b06, b07, b08, b10 and b11 for seed iron concentration, and markers on b01, b04 and b10 for seed zinc concentration. The b07 and b08 QTL aligned with previous QTL for iron concentration. A large number of QTL were found for seed weight (9 with CIM and 36 with SPA analysis) and correlations between seed size and mineral content affected the identification of iron and zinc contents' QTL on many linkage groups. Segregation distortion around domestication genes made some areas difficult to introgress. However, in conclusion, the advanced backcross program produced some introgression lines with high mineral accumulation traits using a wild donor parent.
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ABSTRACT: Advanced backcross QTL analysis was used to identify quantitative trait loci (QTL) for agronomic performance in a population of BC2F(3:5) introgression lines created from the cross of a Colombian large red-seeded commercial cultivar, ICA Cerinza, and a wild common bean accession, G24404. A total of 157 lines were evaluated for phenological traits, plant architecture, seed weight, yield and yield components in replicated trials in three environments in Colombia and genotyped with microsatellite, SCAR, and phaseolin markers that were used to create a genetic map that covered all 11 linkage groups of the common bean genome with markers spaced at an average distance of every 10.4 cM. Segregation distortion was most significant in regions orthologous for a seed coat color locus (R-C) on linkage group b08 and two domestication syndrome genes, one on linkage group b01 at the determinacy (fin) locus and the other on linkage group b02 at the seed-shattering (st) locus. Composite interval mapping analysis identified a total of 41 significant QTL for the eight traits measured of which five for seed weight, two for days to flowering, and one for yield were consistent across two or more environments. QTL were located on every linkage group with b06 showing the greatest number of independent loci. A total of 13 QTL for plant height, yield and yield components along with a single QTL for seed size showed positive alleles from the wild parent while the remaining QTL showed positive alleles from the cultivated parent. Some QTL co-localized with regions that had previously been described to be important for these traits. Compensation was observed between greater pod and seed production and smaller seed size and may have resulted from QTL for these traits being linked or pleiotropic. Although wild beans have been used before to transfer biotic stress resistance traits, this study is the first to attempt to simultaneously obtain a higher yield potential from wild beans and to analyze this trait with single-copy markers. The wild accession was notable for being from a unique center of diversity and for contributing positive alleles for yield and other traits to the introgression lines showing the potential that advanced backcrossing has in common bean improvement.Theoretical and Applied Genetics 05/2006; 112(6):1149-63. · 3.66 Impact Factor
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ABSTRACT: Polymorphism of microsatellite markers is often associated with the simple sequence repeat motif targeted. AT-rich microsatellites tend to be highly variable and this appears to be notable, especially in legume genomes. To analyze the value of AT-rich microsatellites for common bean (Phaseolus vulgaris L.), we developed a total of 85 new microsatellite markers, 74 of which targeted ATA or other AT-rich motif loci and 11 of which were made for GA, CA or CAC motif loci. We evaluated the loci for the level of allelic diversity in comparison to previously characterized microsatellites using a panel of 18 standard genotypes and genetically mapped any loci polymorphic in the DOR364 x G19833 population. The majority of the microsatellites produced single bands and detected single loci, however, 15 of the AT-rich microsatellites produced multiple or double banding patterns; while only one of the GA or CA-rich microsatellites did. The polymorphism information content (PIC) values averaged 0.892 and 0.600 for the AT and ATA motif microsatellites, respectively, but only 0.140 for the CA-rich microsatellites. GA microsatellites, which had a large average number of repeats, had high to intermediate PIC, averaging 0.706. A total of 45 loci could be genetically mapped and distribution of the loci across the genome was skewed towards non-distal locations with a greater prevalence of loci on linkage groups b02, b09 and b11. AT-rich microsatellites were found to be a useful source of polymorphic markers for mapping and diversity assessment in common bean that appears to uncover higher diversity than other types of simple sequence repeat markers.Theoretical and Applied Genetics 10/2008; 118(1):91-103. · 3.66 Impact Factor
- Journal of Heredity 01/2002; 93(1):77-8. · 2.00 Impact Factor