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Supplemental Material for Ogawa et al., 2018
dataset
posted on 2018-09-04, 16:05 authored by Daisuke Ogawa, Yasunori Nonoue, Hiroshi Tsunematsu, Noriko Kanno, Toshio Yamamoto, Jun-ichi YonemaruFigure S1 contains Principal
component analysis (PCA) of the JAM lines using 16,345 SNP locations. Figure S2 contains plots showing positive relationships
between grain area and grain length or width in the 372 JAM lines. Figure S3-1 to -6 contains manhattan
plots of each chromosome analyzed with haplotype-based GWAS and SNP-based
GWAS with naïve model. Figure S4 contains manhattan plots of GWAS on grain shape
measurements. Figure S5 contains the correlations between sum of the
additive effects of QTLs (SAQ) on grain length and observed values. FIgure S6 contains the correlations between sum of the
additive effects of QTLs (SAQ) on grain width and observed values. Figure S7 contains haplotype effects at JAM-GL1 to -GL10 on
grain length and width. Figure S8 contains haplotype effects at JAM-GW1 to -GW10 on
grain length and width. Figure S9 contains GW2 alleles in the eight founders. Table S1 contains SNP positions of QTLs for grain length
detected by five different methods of GWAS. Table S2 contains SNP positions of QTLs for grain width
detected by five different methods of GWAS. Table S3 contains information on JAM-GL QTLs for grain length detected by
haplotype-based GWAS. Table S4 contains Information on JAM-GW QTLs for grain width detected by
haplotype-based GWAS. Table S5 contains putative common QTLs detected in
this study and in a previous QTL study. Table S6 contains effects
of previously identified genes for grain shape (from Li et al. 2018). LiteratureCited1 and LiteratureCited2 contain references for supplementary Information.