The Site Frequency Spectrum (SFS) was estimated by an empirical B

The Site Frequency Spectrum (SFS) was estimated by an empirical Bayesian approach. Allele frequencies for each site were calculated from the raw sequencing reads for estimating Minor Allele Frequency (MAF). Then, with the genotype likelihood information and site allele frequency, the sample allele frequency was estimated using a dynamic programming algorithm Doramapimod manufacturer with the program realSFS

(BGI, Shenzhen, Guangdong, China). SNP calling proceeded in a probabilistic fashion by choosing a cut-off for posteriori probability (≥ 0.99) [32]. Only the data from the targeted maize genomic region within the LD block (Table 1 and Fig. 1) were selected for analysis in this study. Population structure and kinship information for the 283 lines were generated using software STRUCTURE version 2.3 [33] and SPAGeDi with 5000 SNPs (MAF ≥ 0.2), respectively. SNPs with MAF above 0.05 were collected for GWAS using a general linear model (GLM) and a mixed linear model (MLM) in TASSEL version 3.0 [34]. The original sequences of SNP regions were used for BLAST comparisons with the MaizeGDB (B73 RefGen_v2) to update the physical positions. The thresholds for association detection were set using a Bonferroni correction. For testing n dependent or independent hypotheses, one way to maintain the family-wise error rate is to test each hypothesis at a statistical significance level of

1/n times what it would be if only one hypothesis was tested. Our setting for this probability is to PARP inhibitor equal α, and the significance level for the entire series of tests would be β = α/n, where n, the marker number, was 44,236. Therefore, when we set α levels at 0.1, 0.05, 0.01, 0.005

and 0.001, a set of β (α/n) and the corresponding Bonferroni thresholds (− log10β) were calculated. The square of the correlation coefficient (R2) and D between two alleles were calculated to measure LD with the described algorithm  [35] in two independent analyses with different genotyping systems (maizeSNP50 on a 283 temperate-line GWAS panel and 87 10-fold resequencing lines). TASSEL software version 3.0 was used to measure LD level in the temperate GWAS association panel based on the maizeSNP50 genotyping system. The LD analysis window size was set Sclareol to 50 markers. To view the structure of LD, the view window was moved to show the region of interest in the center of the window. HaploView V4.2 was used to calculate the LD level in both temperate and tropical resequencing lines. The parameters were set as -dprime -minMAF 0.01 -hwcutoff 0.001 -maxdistance 200-minGeno 0.6. Markers with a Hardy–Weinberg P-value less than the cutoff set by the hwcutoff option were identified, and all markers with MAF below the cutoff were excluded from further analysis. The π- and Tajima’s D-values for the 283 temperate lines were also calculated using software package tools provided by TASSEL 3.0. The Sliding-Window was set as 500 with a step of 50 markers.

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