Selection criteria for SNP loci to maximize robustness of high-resolution melting analysis for plant breeding

Marker-Assisted Backcross Breeding of Drought-Tolerant Maize Lines Transformed by Vacuolar H+-Pyrophosphatase Gene (AnVP1) from Ammopiptanthus nanus

Maize is highly sensitive to water deficit but has high transpiration and biomass production, leading to a substantial water demand. Genetic engineering can overcome reproductive isolation and utilize drought-tolerant genes from distant species. Ammopiptanthus nanus is a relic of the Tertiary glaciation that can adapt to harsh environmental conditions. In our previous study, five maize homozygous T8 lines overexpressing the AnVP1 gene from Ammopiptanthus nanus were generated and showed the enhancement of drought tolerance. However, the recipient inbred line Zh-1 was poor in yield and agronomic performance. In the present study, the AnVP1 gene was backcrossed from donor parent L10 (one of the five T8 lines) into recurrent parent Chang 7-2 (one of the elite parents of the commercial hybrid Zhengdan 958). In total, 103 InDel markers were developed and used for assisted background selection. After two generations of foreground selection through glufosinate spraying, the detection of CP4 EPSP MAb1 strips, and the PCR amplification of the AnVP1 gene, along with the similarity of agronomic traits to the recurrent parent, and background selection assisted by these InDel markers, the transgenic AnVP1 gene became homozygous in the BC2 lines. The average recovery rate of the genetic background of the recurrent parent reached 74.80% in the BC1 population and 91.93% in the BC2 population, respectively. The results of RT-PCR and RT-qPCR indicated the stable expression of the AnVP1 gene in the two ultimately selected BC2F3 lines, BC2-36-12 and BC2-5-15. The drought tolerance of these two BC2F3 lines were significantly improved compared to the recurrent parent Chang 7-2, as revealed by their wilting phenotype and survival rate of seedlings. This improvement was related to the enhancement of water-retention ability, as indicated by higher RWC and the reduction in damage, as shown by the decrease in REL, MDA, and H2O2 under drought stress. The result of field evaluation in two arid and semi-arid environments indicated that the drought tolerance of Chang 7-2 was significantly improved. This study suggests that the improved Chang 7-2 can be crossed with Zheng 58 to develop the transgenic commercial hybrid Zhengdan 958.

Mutations in the genes responsible for the synthesis of furan fatty acids resolve the light-induced off-odor in soybean oil

Soybean oil is the second most produced edible vegetable oil and is used for many edible and industrial materials. Unfortunately, it has the disadvantage of 'reversion flavor' under photooxidative conditions, which produces an off-odor and decreases the quality of edible oil. Reversion flavor and off-odor are caused by minor fatty acids in the triacylglycerol of soybean oil known as furan fatty acids, which produce 3-methyl-2,4-nonanedione (3-MND) upon photooxidation. As a solution to this problem, a reduction in furan fatty acids leads to a decrease in 3-MND, resulting in a reduction in the off-odor induced by light exposure. However, there are no reports on the genes related to the biosynthesis of furan fatty acids in soybean oil. In this study, four mutant lines showing low or no furan fatty acid levels in soybean seeds were isolated from a soybean mutant library. Positional cloning experiments and homology search analysis identified two genes responsible for furan fatty acid biosynthesis in soybean: Glyma.20G201400 and Glyma.04G054100. Ectopic expression of both genes produced furan fatty acids in transgenic soybean hairy roots. The structure of these genes is different from that of the furan fatty acid biosynthetic genes in photosynthetic bacteria. Homologs of these two group of genes are widely conserved in the plant kingdom. The purified oil from the furan fatty acid mutant lines had lower amounts of 3-MND and reduced off-odor after light exposure, compared with oil from the wild-type.

Identification of Genes Responsible for the Synthesis of Glycitein Isoflavones in Soybean Seeds

Soybean (Glycine max (L.) Merrill) isoflavones are among the most important secondary metabolites, with functional benefits for human health. Soybeans accumulate three aglycone forms of isoflavones: genistein, daidzein, and glycitein. Soybean landrace Kumachi-1 does not accumulate malonylglycitin at all. Gene structure analysis indicated that Glyma.11G108300 (F6H4) of Kumachi-1 has a 3.8-kbp insertion, resulting in a truncated flavonoid 6-hydroxylase (F6H) sequence compared to the wild-type sequence in Fukuyutaka. Mapping experiments using a mutant line (MUT1246) with a phenotype similar to that of Kumachi-1, with a single-nucleotide polymorphism (SNP) in F6H4, revealed co-segregation of this mutation and the absence of glycitein isoflavones. We also identified a mutant line (K01) that exhibited a change in the HPLC retention time of glycitein isoflavones, accumulating glycoside and malonylglycoside forms of 6-hydroxydaidzein. K01 contains an SNP that produces a premature stop codon in Glyma.01G004200 (IOMT3), a novel soybean isoflavone O-methyltransferase (IOMT) gene. We further analyzed transgenic hairy roots of soybeans expressing Glyma.11G108300 (F6H4) and Glyma.01G004200 (IOMT3). Those overexpressing F6H4 accumulated malonylglycoside forms of 6-hydroxydaidzein (M_6HD), and co-expression of F6H4 and IOMT3 increased the level of malonylglycitin but not of M_6HD. These results indicate that F6H4 and IOMT3 are responsible for glycitein biosynthesis in soybean seed hypocotyl.

Modified High-Resolution Melting (HRM) Marker Systems Increasing Discriminability Between Homozygous Alleles

Targeted single-nucleotide polymorphism (SNP) genotyping, especially for functional nucleotide polymorphism, is widely used for current breeding programs in crops. One of the cost- and time-effective approaches for genotyping is high-resolution melting (HRM) analysis for polymerase chain reaction (PCR) amplicons, including target SNP. The reliability of a genotype obtained from an HRM marker depends on the difference in T_m values between two amplicons. Increasing the reliability of HRM marker genotypes could be archived with the selection of the best nearest neighboring nucleotide substitution (NNNs) in primer sequences surrounding SNPs. This chapter provides an easy-way protocol to design primer sequences for NNNs-HRM markers with table and web service, as well as several tips to develop HRM markers that distinguish between homozygous alleles (e.g., between A/A and C/C).

Development of Ethyl Methanesulfonate Mutant Edamame Soybean (Glycine max (L.) Merr.) Populations and Forward and Reverse Genetic Screening for Early-Flowering Mutants

Induced mutation is a viable breeding strategy that is widely utilized in the development of elite plant varieties. We aimed to improve a variety of edamame by constructing novel mutant populations using the ethyl methanesulfonate in soybeans (Glycine max (L.) Merr.). In the M₂ population, the flowering stage showed a considerable standard deviation compared to the wild type, confirming that the mutant populations had the expected DNA mutations. To identify the DNA mutations in the mutant populations, we used the targeting induced local lesions in genomes (TILLING) method, which is a reverse genetic method, to search for soybean flowering-related gene mutants. A total of 30 mutants from E1, E3, E4, and PhyA1 genes, which are known to be highly effective genes, or their homologous gene for flowering and maturation found in soybean quantitative trait locus analyses were isolated from our TILLING screening. Among these mutants, there were eleven nonsynonymous substitution mutants, one nonsense mutant, and two single nucleotide deletion mutants that could be expected to reduce or eliminate gene function. The e1, e3, and e4 mutants obtained in this study flowered considerably earlier than the wild type. In particular, the e1 mutant with a nonsynonymous substitution flowered approximately 1 month after sowing regardless of the sowing date, and its harvest date was approximately 1 month earlier than that of the wild type. Mutations identified using the TILLING method could not only be used as gel-based DNA markers with the same manipulation method, but the mutations could also be detected as DNA markers by the high-resolution melting method. These results indicate that mutations achieved without chromosome modification by crossbreeding are effective for early and practical improvement of superior varieties and that efficient selection of mutants by reverse genetics is an effective method for the identification of genetic modifications. The edamame mutant populations developed in this study are believed to possess various useful alleles which may be applicable in the search for mutations that lead to improved edamame yield and eating quality beyond the flowering stage.

Role of NGS and SNP genotyping methods in sugarcane improvement programs

Sugarcane (Saccharum spp.) is one of the most economically significant crops because of its high sucrose content and it is a promising biomass feedstock for biofuel production. Sugarcane genome sequencing and analysis is a difficult task due to its heterozygosity and polyploidy. Long sequence read technologies, PacBio Single-Molecule Real-Time (SMRT) sequencing, the Illumina TruSeq, and the Oxford Nanopore sequencing could solve the problem of genome assembly. On the applications side, next generation sequencing (NGS) technologies played a major role in the discovery of single nucleotide polymorphism (SNP) and the development of low to high throughput genotyping platforms. The two mainstream high throughput genotyping platforms are the SNP microarray and genotyping by sequencing (GBS). This paper reviews the NGS in sugarcane genomics, genotyping methodologies, and the choice of these methods. Array-based SNP genotyping is robust, provides consistent SNPs, and relatively easier downstream data analysis. The GBS method identifies large scale SNPs across the germplasm. A combination of targeted GBS and array-based genotyping methods should be used to increase the accuracy of genomic selection and marker-assisted breeding.

Single-base deletion in GmCHR5 increases the genistein-to-daidzein ratio in soybean seed

Novel mutant alleles related to isoflavone content are useful for breeding programs to improve the disease resistance and nutritional content of soybean. However, identification of mutant alleles from high-density mutant libraries is expensive and time-consuming because soybean has a large, complicated genome. Here, we identified the gene responsible for increased genistein-to-daidzein ratio in seed of the mutant line F333ES017D9. For this purpose, we used a time- and cost-effective approach based on selective genotyping of a small number of F₂ plants showing the mutant phenotype with nearest-neighboring-nucleotide substitution-high-resolution melting analysis markers, followed by alignment of short reads obtained by next-generation sequencing analysis with the identified locus. In the mutant line, GmCHR5 harbored a single-base deletion that caused a change in the substrate flow in the isoflavone biosynthetic pathway towards genistein. Mutated GmCHR5 was expressed at a lower level during seed development than wild-type GmCHR5. Ectopic overexpression of GmCHR5 increased the production of daidzein derivatives in both the wild-type and mutant plants. The present strategy will be useful for accelerating identification of mutant alleles responsible for traits of interest in agronomically important crops.

Application of High Resolution Melt analysis (HRM) for screening haplotype variation in a non-model plant genus: Cyclopia (Honeybush)

Aim

This study has three broad aims: to (a) develop genus-specific primers for High Resolution Melt analysis (HRM) of members of Cyclopia Vent., (b) test the haplotype discrimination of HRM compared to Sanger sequencing, and (c) provide an example of using HRM to detect novel haplotype variation in wild C. subternata Vogel. populations.

Location

The Cape Floristic Region (CFR), located along the southern Cape of South Africa.

Methods

Polymorphic loci were detected through a screening process of sequencing 12 non-coding chloroplast DNA segments across 14 Cyclopia species. Twelve genus-specific primer combinations were designed around variable cpDNA loci, four of which failed to amplify under PCR; the eight remaining were applied to test the specificity, sensitivity and accuracy of HRM. The three top performing HRM Primer combinations were then applied to detect novel haplotypes in wild C. subternata populations, and phylogeographic patterns of C. subternata were explored.

Results

We present a framework for applying HRM to non-model systems. HRM accuracy varied across the PCR products screened using the genus-specific primers developed, ranging between 56 and 100%. The nucleotide variation failing to produce distinct melt curves is discussed. The top three performing regions, having 100% specificity (i.e. different haplotypes were never grouped into the same cluster, no false negatives), were able to detect novel haplotypes in wild C. subternata populations with high accuracy (96%). Sensitivity below 100% (i.e. a single haplotype being clustered into multiple unique groups during HRM curve analysis, false positives) was resolved through sequence confirmation of each cluster resulting in a final accuracy of 100%. Phylogeographic analyses revealed that wild C. subternata populations tend to exhibit phylogeographic structuring across mountain ranges (accounting for 73.8% of genetic variation base on an AMOVA), and genetic differentiation between populations increases with distance (p < 0.05 for IBD analyses).

Conclusions

After screening for regions with high HRM clustering specificity-akin to the screening process associated with most PCR based markers-the technology was found to be a high throughput tool for detecting genetic variation in non-model plants.

Identification and characterization of a major QTL underlying soybean isoflavone malonylglycitin content

Isoflavones in soybean seeds are responsible for plant-microbe interactions and defend against pathogens, and are also beneficial to human health. We used two biparental populations and mini core collection of soybean germplasm to identify and validate QTLs underlying the content of isoflavone components. We identified a major QTL, qMGly_11, which regulates the content of malonylglycitin, on chromosome Gm11, in populations bred from parents with high, low, and null glycitein contents. qMGly_11 explained 44.5% of phenotypic variance in a population derived from a cross between 'Aokimame' (high) and 'Fukuyutaka' (low) and 79.9% of that in a population between 'Kumaji-1' (null) and 'Fukuyutaka' (low). The effect was observed only in the hypocotyl. We further confirmed the effect of qMGly_11 in a mini-core collection, where it explained 57.1% of the genetic diversity of glycitin production and 56.5% of malonylglycitin production. qMGly_11 increased the contents of glycitin and malonylglycitin at the expense of daidzin and malonyldaidzin in all analyzed populations. We discuss the gene responsible for this QTL and the availability of the null allele for metabolic engineering of soybean seed isoflavones.