2011
DOI: 10.1017/s0016672311000279
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Multipoint maximum likelihood mapping in a full-sib family of an outbreeding species

Abstract: The fast multipoint maximum likelihood mapping algorithm for crosses between inbred lines, introduced by Jansen et al. (2001), is extended for mapping in a full-sib family of an outbreeding species. The method accommodates different segregation types of markers and differences in recombination between parents. The two separate parental multipoint maximum likelihood maps are joined into an integrated map by averaging lengths over anchored segments and by interpolating or extrapolating for markers segregating in… Show more

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Cited by 446 publications
(313 citation statements)
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“…Further filtering was done by selecting only SNP markers with a missing rate of < 0.09 that were separated by at least 2000 bp. After such stringent filtering, a total of 6088 SNP markers were obtained and subsequently used to develop a linkage map using JoinMap 4.1 65 . The limit of detection (LOD) score = Z = log(probability of sequence with linkage/probability of sequence with no linkage) for the occurrence of linkage was set to 4-20 (start-end).…”
Section: Methodsmentioning
confidence: 99%
“…Further filtering was done by selecting only SNP markers with a missing rate of < 0.09 that were separated by at least 2000 bp. After such stringent filtering, a total of 6088 SNP markers were obtained and subsequently used to develop a linkage map using JoinMap 4.1 65 . The limit of detection (LOD) score = Z = log(probability of sequence with linkage/probability of sequence with no linkage) for the occurrence of linkage was set to 4-20 (start-end).…”
Section: Methodsmentioning
confidence: 99%
“…Linkage analysis was performed via maximum likelihood mapping using JoinMap software package and default parameters, except that the number of optimization rounds was increased from three to five to ensure accurate internal ordering of large numbers of tightly linked markers (Stam 1993;Van Ooijen 2011). In order to circumvent limitations of the software package related to computational overhead, efficiently anchor the map to the existing assembly, and permit robust integration of female and male maps, we limited our analyses to markers that (1) aligned to the published genome assembly (>95% identity over ≥90 bp via BLAST) (Altschul et al 1990), (2) yielded informative segregation phasing, and (3) yielded genotypic information for at least 20 of 30 offspring.…”
Section: Linkage Analysismentioning
confidence: 99%
“…In order to circumvent limitations of the software package related to computational overhead, efficiently anchor the map to the existing assembly, and permit robust integration of female and male maps, we limited our analyses to markers that (1) aligned to the published genome assembly (>95% identity over ≥90 bp via BLAST) (Altschul et al 1990), (2) yielded informative segregation phasing, and (3) yielded genotypic information for at least 20 of 30 offspring. These were further supplemented with markers that were specifically informative for one or both parents, regardless of alignment to the genome assembly, permitted that they were genotyped for at least 27 of 30 offspring for biallelic markers (llxlm, nnxnp, or hkxhk) (Maliepaard et al 1997;Van Ooijen 2011) or at least 25 of 30 offspring for tri-and tetra-allelic markers (efxeg or abxcd) (Maliepaard et al 1997;Van Ooijen 2011). The maximum likelihood mapping algorithm for mapping of a full sib family from outbred parents (CP) (Van Ooijen 2011) was used to generate a linkage map from a total of 7215 potentially informative markers.…”
Section: Linkage Analysismentioning
confidence: 99%
“…A custom PERL script identified segregating polymorphic patterns. A genotype file formatted for JoinMap (v. 3.0) 77 was produced. Scaffolds were assigned onto corresponding linkage groups on the basis of the alignment result with the RAD alleles (Supplementary Table 9).…”
mentioning
confidence: 99%