The ectopic expression of the wheat Puroindoline genes increase germ size and seed oil content in transgenic corn

Using systems metabolic engineering strategies for high-oil maize breeding

Maize oil, which is a blend of fatty acid esters generated from triacylglycerol (TAG), is an important component of maize-derived food, feed, and biofuel. The kernel oil content in commercial high-oil maize hybrids averages ∼8%, which is far lower than that in developed high-oil maize lines (as high as 20%). Advances in high-oil maize genomics and genetics and the development of systems metabolic engineering technologies provide new opportunities for high-oil maize breeding. In this review, we discuss the possibility of using kernels and vegetative tissues as factories to produce TAG, eicosapentaenoic acid, and docosahexaenoic acid. We further propose specific implementation strategies based on the metabolic engineering of other species to develop transgenic and gene-editing products, as well as traditional breeding strategies, for application in high-oil maize breeding programs.

Toward the Genetic Basis and Multiple QTLs of Kernel Hardness in Wheat

Kernel hardness is one of the most important single traits of wheat seed. It classifies wheat cultivars, determines milling quality and affects many end-use qualities. Starch granule surfaces, polar lipids, storage protein matrices and Puroindolines potentially form a four-way interaction that controls wheat kernel hardness. As a genetic factor, Puroindoline polymorphism explains over 60% of the variation in kernel hardness. However, genetic factors other than Puroindolines remain to be exploited. Over the past two decades, efforts using population genetics have been increasing, and numerous kernel hardness-associated quantitative trait loci (QTLs) have been identified on almost every chromosome in wheat. Here, we summarize the state of the art for mapping kernel hardness. We emphasize that these steps in progress have benefitted from (1) the standardized methods for measuring kernel hardness, (2) the use of the appropriate germplasm and mapping population, and (3) the improvements in genotyping methods. Recently, abundant genomic resources have become available in wheat and related Triticeae species, including the high-quality reference genomes and advanced genotyping technologies. Finally, we provide perspectives on future research directions that will enhance our understanding of kernel hardness through the identification of multiple QTLs and will address challenges involved in fine-tuning kernel hardness and, consequently, food properties.

Identification of Key Genes Involved in Embryo Development and Differential Oil Accumulation in Two Contrasting Maize Genotypes

Maize is an important oil seed crop and a major food crop in different parts of the world. Since maize has relatively lower seed oil content as compared to other oil crops, efforts are continuing to improve its oil content percentage. In this study, we analyzed two contrasting maize genotypes with differential oil accumulation percentages. High oil-content (HOC) maize had 11% oil content while low oil-content (LOC) maize had significantly lower oil content (5.4%). Transmission electron microscopy revealed a higher accumulation of oil bodies in the HOC maize embryo as compared to LOC maize. Comparative RNA-sequencing analysis at different developmental stages of the seed embryos identified 739 genes that are constantly differentially expressed (DEGs) at all the six developmental stages from 15 days after pollination (DAP) to 40 DAP. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis identified fatty acid metabolism and fatty acid biosynthesis as the most enriched biological pathways contributed by these DEGs. Notably, transcriptional changes are more intense at the early stages of embryo development as compared to later stages. In addition, pathways related to oil biosynthesis and their corresponding genes were more enriched at 30 DAP, which seems to be the key stage for oil accumulation. The study also identified 33 key DEGs involved in fatty acid and triacylglycerols biosynthesis, most of which were up-regulated in HOC, that may shape the differential oil contents in the two contrasting maize. Notably, we discovered that both acyl-CoA-dependent and acyl-CoA-independent processes are essential for the high oil accumulation in maize embryo.

Genetic Engineering: A Possible Strategy for Protein-Energy Malnutrition Regulation

Protein-energy malnutrition (PEM) has adversely affected the generations of developing countries. It is a syndrome that in severity causes death. PEM generally affects infants of 1-5 age group. This manifestation is maintained till adulthood in the form of poor brain and body development. The developing nations are continuously making an effort to curb PEM. However, it is still a prime concern as it was in its early years of occurrence. Transgenic crops with high protein and enhanced nutrient content have been successfully developed. Present article reviews the studies documenting genetic engineering-mediated improvement in the pulses, cereals, legumes, fruits and other crop plants in terms of nutritional value, stress tolerance, longevity and productivity. Such genetically engineered crops can be used as a possible remedial tool to eradicate PEM.

Production of bioactive wheat puroindoline proteins in Nicotiana benthamiana using a virus-based transient expression system

The emergence of antibiotic resistant pathogenic strains of bacteria has necessitated the development of novel antimicrobial agents. The puroindoline A and B (PINA and PINB) proteins of wheat, well-known for their roles in determining the important phenotype of grain texture, are also antimicrobial, making them attractive as natural bio-control agents. However, the biochemical basis of PIN functionality remains unclear due to limitations in expressing them at the required yield and purity and lack of accurate tertiary structure. This study focussed on rapid transient expression of PINs targeted to different subcellular compartments (chloroplast, apoplast, endoplasmic reticulum and cytosol) of Nicotiana benthamiana leaf cells using the deconstructed tobacco mosaic virus-based 'magnICON®' system. The expressed recombinant PINs were characterised by Western blot using the Durotest anti-friabilin antibody, enzyme-linked immunosorbent assays (ELISA) and antimicrobial activity tests. Maximum yield of the His-tagged PINs occurred when targeted to the chloroplast. Both PINs exhibited oligomeric and monomeric forms on gels, but Western blots with the widely used Durotest anti-friabilin antibody identified only oligomeric forms. Only the PINs purified by a hydrophobic interaction method exhibited monomeric forms with the anti-His tag antibody, indicating correct folding. Interestingly, the Durotest antibody did not bind to monomers, suggesting their epitope may be obscured. PINs purified by His-tag affinity purification under native conditions or by the hydrophobic method exhibited antimicrobial activities. The successful in planta expression and optimisation of purification will enable future studies to examine the detailed structure of the PINs and explore novel bio-control applications in health, food and/or agriculture.

A Bayesian model for detection of high-order interactions among genetic variants in genome-wide association studies

BACKGROUND

A central question for disease studies and crop improvements is how genetics variants drive phenotypes. Genome Wide Association Study (GWAS) provides a powerful tool for characterizing the genotype-phenotype relationships in complex traits and diseases. Epistasis (gene-gene interaction), including high-order interaction among more than two genes, often plays important roles in complex traits and diseases, but current GWAS analysis usually just focuses on additive effects of single nucleotide polymorphisms (SNPs). The lack of effective computational modelling of high-order functional interactions often leads to significant under-utilization of GWAS data.

RESULTS

We have developed a novel Bayesian computational method with a Markov Chain Monte Carlo (MCMC) search, and implemented the method as a Bayesian High-order Interaction Toolkit (BHIT) for detecting epistatic interactions among SNPs. BHIT first builds a Bayesian model on both continuous data and discrete data, which is capable of detecting high-order interactions in SNPs related to case--control or quantitative phenotypes. We also developed a pipeline that enables users to apply BHIT on different species in different use cases.

CONCLUSIONS

Using both simulation data and soybean nutritional seed composition studies on oil content and protein content, BHIT effectively detected some high-order interactions associated with phenotypes, and it outperformed a number of other available tools. BHIT is freely available for academic users at http://digbio.missouri.edu/BHIT/.

Prevalence of Puroindoline D1 and Puroindoline b-2 variants in U.S. Pacific Northwest wheat breeding germplasm pools, and their association with kernel texture

Kernel texture is a major factor influencing the classification and end use properties of wheat (Triticum aestivum L.), and is mainly controlled by the Puroindoline a (Pina) and Puroindoline b (Pinb) genes. Recently, a new puroindoline gene, Puroindoline b-2 (Pin b-2), was identified. In this study, 388 wheat cultivars and advanced breeding lines from the U.S. Pacific Northwest were investigated for frequencies of Puroindoline D1 alleles and Pinb-2 variants 2 and 3. Results indicated that Pinb-D1b (74.0%) was the predominant genotype among hard wheats (N = 196), the only other hard allele encountered was Pina-D1b (26.0%). Across all varieties, Pinb-2v3 was the predominant genotype (84.5%) compared with Pinb-2v2 (15.5%). However, among 240 winter wheat varieties (124 soft white, 15 club, 68 hard red and 33 hard white varieties), all carried Pinb-2v3. Among spring wheats, Pinb-2v2 and Pinb-2v3 frequencies were more variable (soft white 25.0:75.0, hard red 58.2:41.8 and hard white 40.0:60.0, respectively). Kernel texture variation was analyzed using 247 of the 388 wheat varieties grown in multi-location factorial trials in up to 7 crop years. The range of variety means among the four groups, soft winter, soft spring, hard winter and hard spring, was on the order of 15-25 single kernel characterization system (SKCS) Hardness Index. The least significant difference for each of these trials ranged from 2.8 to 5.6 SKCS Hardness Index. Observations lead to the conclusion that Pinb-2 variants do not exert a prominent effect on kernel texture, however, Pinb-2 variants do identify features of wheat germ plasm structure in the U.S. Pacific Northwest.

Controlling lipid accumulation in cereal grains

Plant oils have so far been mostly directed toward food and feed production. Nowadays however, these oils are more and more used as competitive alternatives to mineral hydrocarbon-based products. This increasing demand for vegetable oils has led to a renewed interest in elucidating the metabolism of storage lipids and its regulation in various plant systems. Cereal grains store carbon in the form of starch in a large endosperm and as oil in an embryo of limited size. Complementary studies on kernel development and metabolism have paved the way for breeding or engineering new varieties with higher grain oil content. This could be achieved either by increasing the relative proportion of the oil-rich embryo within the grain, or by enhancing oil synthesis and accumulation in embryonic structures. For instance, diacylglycerol acyltransferase (DGAT) that catalyses the ultimate reaction in the biosynthesis of triacylglycerol appears to be a promising target for increasing oil content in maize embryos. Similarly, over-expression of the maize transcriptional regulators ZmLEAFY COTYLEDON1 and ZmWRINKLED1 efficiently stimulates oil accumulation in the kernels of transgenic lines. Redirecting carbon from starch to oil in the endosperm, though not yet realized, is discussed.