502 and D507 under drought and salt stress conditions. The heat map was visualized using the MeV_4_ 9_0 program. Red and blue indicate high and low levels of expression, respectively, while white indicates none expressed genes. a Heat map showing gene expression in the leaf tissue of G. klotzschianum. b Heat map showing gene expression in the leaf tissue of G. davidsonii, c Heat map showing gene expression in the leaf tissue of G. thurberi and d Heat map showing gene expression in the leaf tissue of G. trilobum. Drought and salt stress was imposed by supplementing the Hoagland nutrient solution with 17% PEG and 250 mL of NaCl solution, respectively
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Genetic maps have become significantly important in understanding markers, breeding, association genetics, map-assisted gene cloning, gene mining, and mapping of quantitative trait loci (QTLs) (Golestan Hashemi et al. 2015). In our study, we integrated two genetic maps from the D genome of the diploid cotton with a mapping size of 188 F2:3 population. The first genetic map (Map A) was composed of a genetic cross between G. klotzschianum (female parent) and G. davidsonii (male parent) while the second genetic map (Map B) was developed from G. thurberi (female parent) and G. trilobum (male parent). Map B had a higher number of markers linked and a smaller average distance as compared with map A. This map could play a fundamental role in the analysis of QTLs. In the construction of the consensus map, more markers were contributed by map B as compared with map A. Inconsistencies of marker order including the translocation or inversions between individual markers in consensus maps were observed especially on markers that were closely linked together in the SDR of Chromosome D502–2. 2012).
The segregation distortion among the three maps ranged from 15.8% (map A) to 22.2% (map B). Segregation distorted markers have previously been studied in various plants (Takumi et al. 2013). The study of segregation distortion is significant because distorted markers may be linked to genes or traits of interest, these genes may be beneficial or lethal to organisms. Therefore, it’s important to include the segregation distortion markers in the construction of genetic maps since the exclusion of such markers could cause bias of the data and result in the loss of significant genetic information. In our study, we examined the trend of segregation distortion within Chromosome D502 and D507. We observed that both chromosomes had higher segregation distorted markers. Chromosome D502 had the least mapped markers with a higher percentage of segregation distortion ranging from 42.9% to 76.1% in the three genetic maps. Similar results have been observed in cotton (Li et al. 2007; Khan et al. 2016; Shang et al. 2016). The two chromosomes also showed SDR which was skewed towards a specific allele. These SDRs may be due to pre- or post-zygotic selection and chromosome loss or rearrangements.
Similar overall performance was present in the new consensus chart out-of flax seed (Cloutier et al
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