Supplemental Material for Dong et al., 2021
datasetposted on 07.04.2021, 17:22 by Zhixue Dong, Muhammad khorshed Alam, Meili Xie, Li Yang, Jie Liu, MMU Helal, Junyan Huang, Xiaohui Cheng, Yueying Liu, Chaobo Tong, Chuanji Zhao, Shengyi Liu
Figure S1 shows Δ (SNP-index) in QTL-seq on the other 18 chromosomes. Figure S2 shows the genotype based on a bin map of 200 individuals in the F2 population in Yangluo in 2018. Figure S3 illustrates a matrix of pairwise recombination values for the F2 linkage map using Checkmatrix. Figure S4 describes the QTL scanning for plant height on chromosome A10. Figure S5 shows Spearman’s correlation plot of the four samples based on the RNA-seq data in the study. Table S1 lists the primers used for RT-qPCR. Table S2 shows the log-max-likelihood values and AIC values of genetic models in SEA analysis. Table S3 shows the fitness test of candidate models in SEA analysis. Table S4 shows genetic parameters estimated in the MX1-AD-ADI model. Table S5 shows the quality of the sequencing data from the QTL-seq. Table S6 shows the statistics of comparison between the sequencing reads and reference genome in the two bulks. Table S7 Plant height of 200 individuals in the F2 population in Yangluo in 2018. Table S8 the sequence data quality of 200 individuals in the F2 population. Table S9 shows the bin marker information and the genotype of the 200 individuals in the F2 population. Table S10 shows the genetic position of all the mapped Bin markers in each linkage group. Table S11 shows the physical position of all the Bin markers in each chromosome. Table S12 shows the R2 value between the genetic map and the physical map in each linkage group. Table S13 shows the quality of the RNA-seq. Table S14 shows the DEGs information in the QTL region. Table S15 lists the variant information between the two parents in the QTL interval. Table S16 lists the candidate genes with missense and nonsense mutations.