An integrated molecular map of yellow passion fruit based on simultaneous maximum-likelihood estimation of linkage and linkage phases. Oliveira, E., Vieira, M., Garcia, A., Munhoz, C., Margarido, G., Consoli, L., Matta, F., Moraes, M., Zucchi, M., & Fungaro, M. Journal of the American Society for Horticultural Science, 133(1):35-41, 2008.
abstract   bibtex   
The development of genetic maps for auto-incompatible species, such as the yellow passion fruit (Passiflora edulis Sims f. flavicarpa Deg.) is restricted due to the unfeasibility of obtaining traditional mapping populations based on inbred lines. For this reason, yellow passion fruit linkage maps were generally constructed using a strategy known as two-way pseudo-testcross, based on monoparental dominant markers segregating in a 1:1 fashion. Due to the lack of information from these markers in one of the parents, two individual (parental) maps were obtained. However, integration of these maps is essential, and biparental markers can be used for such an operation. The objective of our study was to construct an integrated molecular map for a full-sib population of yellow passion fruit combining different loci configuration generated from amplified fragment length polymorphisms (AFLPs) and microsatellite markers and using a novel approach based on simultaneous maximum-likelihood estimation of linkage and linkage phases, specially designed for outcrossing species. Of the total number of loci, ≈76%, 21%, 0.7%, and 2.3% did segregate in 1:1, 3:1, 1:2:1, and 1:1:1:1 ratios, respectively. Ten linkage groups (LGs) were established with a logarithm of the odds (LOD) score ≥ 5.0 assuming a recombination fraction ≤0.35. On average, 24 markers were assigned per LG, representing a total map length of 1687 cM, with a marker density of 6.9 cM. No markers were placed as accessories on the map as was done with previously constructed individual maps.
@article{
 title = {An integrated molecular map of yellow passion fruit based on simultaneous maximum-likelihood estimation of linkage and linkage phases},
 type = {article},
 year = {2008},
 identifiers = {[object Object]},
 keywords = {AFLP,Linkage map integration,Microsatellites,Multipoint distances,Outcrossing species,Passiflora edulis f. flavicarpa},
 pages = {35-41},
 volume = {133},
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 last_modified = {2015-11-22T13:21:24.000Z},
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 abstract = {The development of genetic maps for auto-incompatible species, such as the yellow passion fruit (Passiflora edulis Sims f. flavicarpa Deg.) is restricted due to the unfeasibility of obtaining traditional mapping populations based on inbred lines. For this reason, yellow passion fruit linkage maps were generally constructed using a strategy known as two-way pseudo-testcross, based on monoparental dominant markers segregating in a 1:1 fashion. Due to the lack of information from these markers in one of the parents, two individual (parental) maps were obtained. However, integration of these maps is essential, and biparental markers can be used for such an operation. The objective of our study was to construct an integrated molecular map for a full-sib population of yellow passion fruit combining different loci configuration generated from amplified fragment length polymorphisms (AFLPs) and microsatellite markers and using a novel approach based on simultaneous maximum-likelihood estimation of linkage and linkage phases, specially designed for outcrossing species. Of the total number of loci, ≈76%, 21%, 0.7%, and 2.3% did segregate in 1:1, 3:1, 1:2:1, and 1:1:1:1 ratios, respectively. Ten linkage groups (LGs) were established with a logarithm of the odds (LOD) score ≥ 5.0 assuming a recombination fraction ≤0.35. On average, 24 markers were assigned per LG, representing a total map length of 1687 cM, with a marker density of 6.9 cM. No markers were placed as accessories on the map as was done with previously constructed individual maps.},
 bibtype = {article},
 author = {Oliveira, E.J. and Vieira, M.L.C. and Garcia, A.A.F. and Munhoz, C.F. and Margarido, G.R.A. and Consoli, L. and Matta, F.P. and Moraes, M.C. and Zucchi, M.I. and Fungaro, M.H.P.},
 journal = {Journal of the American Society for Horticultural Science},
 number = {1}
}

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