RT-qPCR recognition of the chosen genetics from inside the SDRs from chromosome D

RT-qPCR recognition of the chosen genetics from inside the SDRs from chromosome D

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

Discussion

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:step three 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).

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