In a study based on linkage mapping in a single North American salmon family from the Saint John River, Lubieniecki et al. [ 23], proposed two Robertsonian fusions; one between European ssa06 and ssa22 and another between European ssa26 and ssa28.
Individual Cbf genes were selected based on an expression study in rye [ 30] and linkage mapping in barley and diploid wheat [ 6, 8], Vrn1 based on linkage mapping and a real-time PCR expression study in wheat [ 18, 31], Ice2 based on an expression study in wheat [ 4], and Dhn1 and Dhn3 based on an expression study in barley [ 14].
Numerous QTL mapping studies for salinity tolerance were based on linkage maps constructed using AFLP (Gregorio 1997), RFLP (Koyama et al. 2001; Bonilla et al. 2002; Lin et al. 2004), and SSR markers (Thomson et al. 2010; Wang et al. 2012).
However, almost all the studies were based on linkage maps constructed using low-throughput molecular markers, e.g. restriction fragment length polymorphisms (RFLPs) and simple sequence repeats (SSRs), thus are mostly of low density and not able to provide precise and complete information about the numbers and locations of the genes or QTLs controlling the traits.
A limitation associated with the previous studies is that all the analyses were based on linkage maps using restriction fragment length polymorphism (RFLP) and simple sequence repeat (SSR) markers in which many regions were sparsely represented, thus it is not possible to obtain precise and complete information about the numbers and locations of the QTLs.
These values, despite being lower than for Prunus, were still within the range of densities employed for genome comparisons based on linkage maps in species of other families.
For each genomic contig the total number of nucleotides, the range of nucleotides that is covered on their respective chromosome, the number of contigs, and the estimated gap lengths based on linkage maps for each species is listed.
For the turkey, as for other agricultural animal and crop species, a primary area of interest is trait (often QTL) analysis based on linkage maps, increasingly derived using high density SNP arrays.
Although conventional QTL mapping based on linkage maps of biparental populations has been an efficient approach to detect regions related to the resistance to corn borers, higher resolution is needed to detect the genes involved in the defense mechanism of the plant.
Association studies based on linkage disequilibrium (LD) mapping could be an alternative and more efficient way for QTL/gene tagging in ryegrass.
In contrast to conventional QTL mapping, association mapping is based on linkage disequilibrium (LD).
