Table 1.
Codes used to identify the traits measured, along with statistics describing their variation among the members of the association panel.
Fig 1.
Cumulative density functions based on the three alternative GWA models.
The GLM Naive (violet trace), GLM Q-model (green trace) and MLM (red trace). Traits showing significant associations and providing the most consistent p-values are indicated.
Fig 2.
Regions identified by GWA in eggplant LG E01-E06 in comparison to QTL locations described by Portis et al. [2].
The GWA outcome is given to the left of each chromosome (the vertical bars represent a ±3.4 cM interval around the position of the associated SNP loci) and the various regions are marked in red. The QTL locations are shown to the right of each chromosome.
Fig 3.
Regions identified by GWA in eggplant LG E07-E12 in comparison to QTL locations described by Portis et al. [2].
The GWA outcome is given to the left of each chromosome (the vertical bars represent a ±3.4 cM interval around the position of the associated SNP loci) and the various regions are marked in red. The QTL locations are shown to the right of each chromosome.
Table 2.
Phenotype/genotype associations uncovered by GWA analysis.
Fig 4.
Eggplant chromosomes are represented by white bars, and the site of QTL detected by GWA analysis is indicated. Tomato chromosomes are represented by yellow bars, along with the position of candidate genes (shown in red). Asterisks indicate orthologous QTL detected in tomato (* Grandillo et al. [30], ** Frary et al. [33], *** Lippman and Tanksley [31]) shown in red, and in pepper (**** Barchi et al. [39], Zygier et al. [38], Chaim et al. [37]) shown in green.
Table 3.
A summary of newly discovered and already established phenotype/genotype associations and QTL/genes controlling morphological variation in eggplant.