MGTRP: Maize Genetic Transformation Resources Platform

## This platform provides the resources as follows:

  • the phenotypes and genotypes of embryogenic callus induction and regeneration ability-related traits and Agrobacterium-mediated transformation abilities from about 700 inbred lines collected from China, USA, and Mexico etc. ;
  • the reference genomes, full-length transcriptomes, and dynamic transcriptome of A188, 18-599R, and C01.

All the resources are freely available and openly accessed for the researchers worldwide.

Maize (Zea mays L.) is a primary global crop supplying the food, feed, and industrial materials industries. Genetic transformation is presently widely used to improve yield and stress resistance and for gene function validation in maize, which largely depend on callus induction and regeneration from maize immature embryos.

Phenotype

Different inbred lines showed great differences in embryogenic callus induction (Fig. 1A), green dot state (Fig. 1B) and green seedling regeneration (Fig. 1C).


The embryonic callus growth state
The embryonic callus growth state after the second subculture and redifferentiation situation for different lines.

Table 1. Population characteristics of all traits in different environments

Env Traits CCI1 CCI2 GCR CDR CPN CRR CBR
XSBN1 Mean - - 42.4642 19.5236 1.3766 8.2896 36.6837
  SD - - 23.4446 17.9975 0.65 10.3111 26.955
  Variance - - 549.649 323.909 0.422 106.319 726.57
  Skewness - - -0.357 0.7 3.474 1.096 0.637
  Kurtosis - - -0.47 0.202 17.375 0.25 -0.502
  Min - - 0 0 1 0 0
  Max - - 90 83.845 5.5955 38.4299 90
CZ Mean 1.9122 1.5065 38.0679 16.6353 1.2468 14.6485 42.1359
  SD 0.4336 0.1911 26.6835 20.4784 0.493 17.9865 28.8642
  Variance 0.188 0.0365 712.0103 419.3666 0.2431 323.5139 833.1405
  Skewness 2.0167 -0.0626 0.2101 1.63 2.8373 1.8715 0.373
  Kurtosis 6.784 0.5188 -0.8583 2.6546 8.188 4.8099 -1.0878
  Min 1.1256 1 0 0 1 0 0
  Max 3.9964 2.0351 90 90 3.4624 90 90
XSBN2 Mean 1.976 1.5378 48.959 15.7448 1.2106 11.563 34.2689
  SD 0.5563 0.3233 24.7053 14.0858 0.3766 14.4439 25.1472
  Variance 0.31 0.105 610.351 198.409 0.142 208.626 632.383
  Skewness 0.466 0.578 -0.505 0.677 2.435 1.866 0.865
  Kurtosis 2.092 1.887 -0.589 0.029 5.551 4.743 -0.195
  Min 1 1 0 0 1 0 0
  Max 4.1473 2.6614 90 60.9829 2.6877 75.9638 90

IBM Genotype

Flowchart of the development of IBM Syn4 (left) and Syn10 (right) population in the present study. Two populations were generated through similar process, but showed differences in the number of generations of inter-mating and the strategies of generating homozygous progenies after inter-mating.

A total of 1,151,856 high-quality SNPs were generated from the parental SNP set. In total, 76.5 % of the SNPs (1,505,749 SNPs) were verified at least once from the 280 lines in the Syn10 population, and 23.5 % of the SNPs were excluded because no SNPs were successfully validated from the Syn10 population. In our database, 18.77 % (216,254 out of 1,151,856 SNPs) were verified 1–4 times in the Syn10 population. Additionally, 81.23 % (935,602 of the verified high-quality SNPs) were verified more than five times in the Syn10 population. Finally, a total of 2,961 SSR, RFLP, and IDP markers with precise physical coordinates as well as extra 6,618 bin markers and 1,151,856 SNPs were collected to create a high-quality and density-integrated map.

A high-density genetic map was constructed for the IBM Syn10 population with all 6,618 recombination bin markers. The map quality was reliable as only adjacent markers showed strong linkage with 11,198.5 cM genetic distance in the map (Additional file 9). The average genetic distance of the bin markers was 1.7 cM, which represented an increase in the marker density compared with the 4.7 cM observed between the adjacent markers, for a total of 6,242.7 cM with 1,340 markers in the Syn4 population.

Common features, such as the recombination rate and genetic vs. physical distance were compared between the Syn4 and Syn10 populations. Figure 3 shows the relationship between the genetic and physical positions on all chromosomes between the two populations. The recombination suppression was observed near the centromeres, and higher recombination rates were found to be predominant near both telomeres. The average ratio of genetic-to-physical distance was 6.95 cM/Mb for the whole genome, which is higher than that of the Syn4 population (4.55 cM/Mb).


Genome-wide SNP distribution and genetic variation throughout the maize genome.

The genotype of IBM can be download here: [ 12864_2015_2242_MOESM13_ESM.xlsx ] .

GWAS Genotype

A total of 56,110 SNPs on the MaizeSNP50 BeadChip were used for genotyping the panel. Detailed information for this chip can be downloaded from the Illumina MaizeSNP50 website and the position information of SNPs according to B73 RefGen_v2 can be downloaded from NCBI (National Center for Biotechnology Information) GEO website. One month after seed germination, eight leaf pieces from differentindividualsofthesameinbredlinewere placed into one tube, and two replicates were collected for DNA extraction and genotyping. Using Illumina GenomeStudio, a powerful genotyping tool, each SNP was rechecked manually to identify any errors following Yan. Then the raw file exported by GenomeStudio was transformed to PowerMarker V3.25 format for calculation of summary statistics. SNPs with missing rate >20 %, heterozygosity >20 % and minor allele frequency (MAF) '<'0.05 were excluded from the genotyping data, leaving 44,104 high-quality SNPs for further analysis.


The SNP density of GWAS genotype
The SNP density of GWAS genotype.

The genotype of GWAS can be download here: Genotye.hmp.txt .

The SNP information of GWAS can be download here: SNP_56110_information.txt .

Please contact us for the file download code.

Callus Induction Rate (CIR)

The callus induction rate was defined as: callus induction rate (%) = (number of explants produced callus/total number of explants cultured) × 100%

ZmSAUR15 affects callus formation in maize

The ability of immature maize (Zea mays) embryos to form embryonic calluses (ECs) is highly genotype dependent, which limits transgenic breeding development in maize. Here, we report the association map-based cloning of ZmSAUR15 using an association panel (AP) consisting of 309 inbred lines with diverse formation abilities for ECs. We demonstrated that ZmSAUR15, which encodes a small auxin-upregulated RNA, acts as a negative effector in maize EC induction. Polymorphisms in the ZmSAUR15 promoter that influence the expression of ZmSAUR15 transcripts modulate the EC induction capacity in maize. ZmSAUR15 is involved in indole-3-acetic acid biosynthesis and cell division in immature embryo-derived callus. The ability of immature embryos to induce EC formation can be improved by the knockout of ZmSAUR15, which consequently increases the callus regeneration efficiency. Our study provides new insights into overcoming the genotypic limitations associated with EC formation and improving genetic transformation in maize.

Phenotype

The AP, consisting of 309 maize inbred lines, was grown in three locations. The immature embryos of the AP collected from each location were used to investigate the ECIR phenotype. The descriptive analysis results showed that the average ECIR of the AP was 5.60, 3.15 and 2.03% in the locations Chongzhou (CZ), Xishuangbanna (XSBN) and Chengdu (CD), respectively. The highest variation in the ECIR was observed in XSBN, ranging from 0 to 73.33% (Table 1). Analysis of variance (ANOVA) results showed that the ECIR was significantly affected by genotype, environment and the interaction between both. The H2 estimate of the ECIR was 53.97%, indicating that ECIR is mainly controlled by genetic factors in maize.

Table. Analysis of variance of the callus traits in the three environments

Trait Source of variation Mean square df F Significance H2
ECIR Intercept 23 390.265 1 34.859 <0.0001 53.97%
Genotype (G) 278.618 308 48.555 <0.0001
Environment (E) 1614.077 2 281.288 <0.0001
G × E 128.235 383 22.348 <0.0001
Residual error 5.738 1216 <0.0001

ECIR, embryonic callus induction rate; H2 , broad-sense heritability.

Variants in the CDS and promoter of ZmSAUR15

To determine which gene(s) in the auxin signal transduction pathway affect maize EC initiation, we used high-ECIR lines and low-ECIR lines to amplify the CDS and promoter sequences of the 16 auxin signal-related genes identified as responding to 2,4-D in our previous study. No significant genetic variation was observed for any of the genes between the two groups with ECIR disparity except for ZmSAUR15, the CDS and promoter of which displayed genetic discrepancies between the contrasting groups. To further confirm the genetic variants in ZmSAUR15 associated with the ECIR, sequences covering the entire CDS of ZmSAUR15 (429–444 bp) were amplified from the cDNAs of the 309 lines. A total of 25 SNPs and 14 InDels with minor allele frequency (MAF) ≥ 0.05 were identified. Association analysis using a general linear model (GLM) and a mixed linear model (MLM) indicated that 19 SNPs and five InDels were significantly (P ≤ 0.05) associated with the ECIR of maize in the three environments and using the best linear unbiased prediction (BLUP) values. All the loci were repeatedly detected across at least two environments and in both models.

These 24 variants classified these lines into three main haplotypes, Hap1, Hap2 and Hap3, which contained 94, 60 and 129 lines, espectively. ANOVA results revealed that there was a significant (**P < 0.01) difference in the ECIR (average among the three environments) between the haplotypes; Hap2 and Hap1 (represented by SCL155 and B73, respectively) displayed the highest and lowest ECIRs, respectively. Therefore, in this study, Hap2 and Hap1 were considered as the superior and inferior haplotypes for the ZmSAUR15 CDS, respectively.

  1. Zhang Xiaoling,Long Yun,Ge Fei,Guan Zhongrong,Zhang Xiaoxiang,Wang Yanli,Shen Yaou,Pan Guangtang. A genetic study of the regeneration capacity of embryonic callus from the maize immature embryo culture[J]. Hereditas(Beijing), 2017, 39(2): 143-155.
  2. Liu, H., Niu, Y., Gonzalez-Portilla, P.J. et al. An ultra-high-density map as a community resource for discerning the genetic basis of quantitative traits in maize. BMC Genomics 16, 1078 (2015). https://doi.org/10.1186/s12864-015-2242-5
  3. Wang, Y., He, S., Long, Y., Zhang, X., Zhang, X., Hu, H., Li, Z., Hou, F., Ge, F., Gao, S., Pan, G., Ma, L. and Shen, Y. (2022), Genetic variations in ZmSAUR15 contribute to the formation of immature embryo-derived embryonic calluses in maize. Plant J, 109: 980-991. https://doi.org/10.1111/tpj.15609