Drought-stress induced changes of fatty acid composition affecting sunflower grain yield and oil quality.

Water availability is the most important key factor affecting sunflower productivity and its oil quality. This study investigated the effect of drought stress on sunflower fatty acids and its effects on grain yield and related components. Thirteen sunflower hybrids were evaluated as randomized complete block design with three replications under normal and drought stress conditions in Karaj, Iran, during 2 years (2019 and 2020). Drought stress was imposed by water withholding during the reproductive stage. Drought stress accelerated the maturity of sunflower and caused a reduction in grain yield (30%), grains weight (11%), and grain numbers/head (22%) compared with normal irrigation. Means of grain yield were 2.7 and 1.8 t/ha under normal and drought stress conditions respectively. Grain numbers/head had higher correlation with grain yield than grains weight under both conditions. Among the fatty acids, the contents of palmitic and linoleic acids were increased (11% and 3%, respectively) while stearic and oleic acids were decreased (6% and 11%). The results indicated that sunflower hybrids benefit from the escape strategy differentially to adapt drought stress condition. However, this adaptation changes sunflower fatty acid profile that reduces grain yield and quality of sunflower oil in Karaj conditions in Iran. In order to achieve the higher yields and higher oil quality, it is necessary to avoid drought stress in sunflower production fields.

Modification of Fatty Acid Profile and Oil Contents Using Gene Editing in Oilseed Crops for a Changing Climate.

Mutation breeding based on various chemical and physical mutagens induces and disrupts non-target loci. Hence, large populations were required for visual screening, but desired plants were rare and it was a further laborious task to identify desirable mutants. Generated mutant had high defect due to non-targeted mutation, with poor agronomic performance. Mutation techniques were augmented by targeted induced local lesions in genome (TILLING) facilitating the selection of desirable germplasm. On the other hand, gene editing through CRISPR/Cas9 allows knocking down genes for site-directed mutation. This handy technique has been exploited for the modification of fatty acid profile. High oleic acid genetic stocks were obtained in a broad range of crops. Moreover, genes involved in the accumulation of undesirable seed components such as starch, polysaccharide, and flavors were knocked down to enhance seed quality, which helps to improve oil contents and reduces the anti-nutritional component.

Omics and CRISPR-Cas9 Approaches for Molecular Insight, Functional Gene Analysis, and Stress Tolerance Development in Crops.

Plants are regularly exposed to biotic and abiotic stresses that adversely affect agricultural production. Omics has gained momentum in the last two decades, fueled by statistical methodologies, computational capabilities, mass spectrometry, nucleic-acid sequencing, and peptide-sequencing platforms. Functional genomics-especially metabolomics, transcriptomics, and proteomics-have contributed substantially to plant molecular responses to stress. Recent progress in reverse and forward genetics approaches have mediated high-throughput techniques for identifying stress-related genes. Furthermore, web-based genetic databases have mediated bioinformatics techniques for detecting families of stress-tolerant genes. Gene ontology (GO) databases provide information on the gene product's functional features and help with the computational estimation of gene function. Functional omics data from multiple platforms are useful for positional cloning. Stress-tolerant plants have been engineered using stress response genes, regulatory networks, and pathways. The genome-editing tool, CRISPR-Cas9, reveals the functional features of several parts of the plant genome. Current developments in CRISPR, such as de novo meristem induction genome-engineering in dicots and temperature-tolerant LbCas12a/CRISPR, enable greater DNA insertion precision. This review discusses functional omics for molecular insight and CRISPR-Cas9-based validation of gene function in crop plants. Omics and CRISPR-Cas9 are expected to garner knowledge on molecular systems and gene function and stress-tolerant crop production.

Development of a robust hydroponic method for screening of sunflower (Helianthus annuus L.) accessions for tolerance to heat and osmotic stress.

Hydroponic systems are known to provide a platform for uniform growth conditions until the reproductive stage. However, many plant species, including sunflower, show poor growth and survivability under conventional hydroponic systems due to poor nutrient availability, hypoxia and algal contamination. Thus, we tested various hydroponic systems to select a hydroponic system suitable for screening of sunflower germplasm. Sunflower accessions showed better growth and leaf gas exchange in newly-designed over conventional hydroponic systems. Selected hydroponic systems were further engaged in sunflower accession screening under heat and osmotic stress in a two-pan system (210 cm × 60 cm). Heat stress treatment was applied by growing sunflower germplasm at 42 °C and osmotic stress by adding polyethylene glycol 8000 which decreased the osmotic potential to - 0.6 MPa. There was significant variability among the sunflower accessions for their ability to survive under stress. Accessions such as C-2721 (43%), C-291 (46%) and D-14 (43%) had lower cell membrane injury percentage under osmotic stress and high seedling survivability (60‒80%) under heat stress when compared with susceptible accessions. Moreover, resistant accessions exhibited greater cuticular waxes and root length but lower transpiration losses. The newly designed hydroponic platform proved reliable for the selection of resistant sunflower accessions. Selected parental lines were validated by assessing their hybrids under field trials across two seasons under water and temperature stress during the reproductive phase (autumn). Hybrid H3 obtained by crossing drought and heat resistant parents had the highest seed yield and water use efficiency.

Genome characterization of Sugarcane Yellow Leaf Virus with special reference to RNAi based molecular breeding.

Sugarcane is an essential crop for sugar and biofuel. Globally, its production is severely affected by sugarcane yellow leaf disease (SCYLD) caused by Sugarcane Yellow Leaf Virus (SCYLV). Many aphid vectors are involved in the spread of the disease which reduced the effectiveness of cultural and chemical management. Empirical methods of plant breeding such as introgression from wild and cultivated germplasm were not possible or at least challenging due to the absence of resistance in cultivated and wild germplasm of sugarcane. RNA interference (RNAi) transformation is an effective method to create virus-resistant varieties. Nevertheless, limited progress has been made due to lack of comprehensive research program on SCYLV based on RNAi technique. In order to show improvement and to propose future strategies for the feasibility of the RNAi technique to cope SCYLV, genome-wide consensus sequences of SCYLV were analyzed through GenBank. The coverage rates of every consensus sequence in SCYLV isolates were calculated to evaluate their practicability. Our analysis showed that single consensus sequence from SCYLV could not work well for RNAi based sugarcane breeding programs. This may be due to high mutation rate and continuous recombination within and between various viral strains. Alternative multi-target RNAi strategy is suggested to combat several strains of the viruses and to reduce the silencing escape. The multi-target small interfering RNA (siRNA) can be used together to construct RNAi plant expression plasmid, and to transform sugarcane tissues to develop new sugarcane varieties resistant to SCYLV.

Determination of drought tolerance related traits in Helianthus argophyllus, Helianthus annuus, and their hybrids.

Drought is a major constraint for sunflower (Helianthus annuus) production worldwide. Drought tolerance traits have been identified in the related wild species Helianthus argophyllus. This study was initiated to develop sunflower drought-tolerant genotypes by crossing cultivated sunflower with this species and analyze drought tolerance traits in the H. annuus and H. argophyllus populations, H. annuus intraspecific hybrids, and H. annuus × H. argophyllus interspecific hybrids along with the commercial hybrid Hysun-33 under three stress regimes: exogenous application of ABA, both by foliar spray and irrigation, and 5% PEG-induced osmotic stress. H. argophyllus populations had a significantly lower leaf area and higher water-use efficiency and leaf cuticular wax content under all treatments, and maintained a higher net photosynthetic rate and stomatal conductance under osmotic stress. Small leaf area and high cuticular waxes content of the wild species were, however, not inherited in interspecific hybrids which suggested for selection in F2 for these traits. Therefore, transgressive plants were selected in the F2 population to establish F3 plant progenies with silver-leafed canopy of H. argophyllus which showed higher achene yield under stress condition. These results are discussed with a view to using H. argophyllus to improve drought tolerance in cultivated sunflower.

Progress in modification of sunflower oil to expand its industrial value.

Increasing the sunflower seed oil content as well as improving its quality makes it compatible for industrial demands. This is an important breeding objective of sunflower which increases its market value and ensures high returns for the producers. The present review focuses on determining the progress of improving sunflower seed oil content and modifying its quality by empirical and advanced molecular breeding methods. It is known that the sunflower oil content and quality have been altered through empirical selection methods and mutation breeding programmes in various parts of the world. Further improvement in seed oil content and its components (such as phytosterols, tocopherols and modified fatty acid profile) has been slowed down due to low genetic variation in elite germplasm and complex of hereditary traits. Introgression from wild species can be carried out to modify the fatty acids profile and tocopherol contents with linkage drags. Different transgenes introduced through biotechnological methods may produce novel long-chain fatty acids within sunflower oil. Bio-engineering of sunflower oil could allow it to be used in diverse industrial products such as bio-diesel or bio-plastics. These results showed that past and current trends of modifying sunflower oil quality are essential for its further expansion as an oilseed crop. © 2017 Society of Chemical Industry.

Genetic analysis of proline concentration under osmotic stress in sunflower (Helianthus annuus L.).

Proline concentration has been often suggested as an indicator of osmotic stress. A better understanding of the genetics of this trait is however needed. In the present study, proline concentration has been assessed, together with root and stem growth, potassium, calcium and total soluble sugars concentration and stress injury symptoms, in seedlings of sunflower hybrids and their parents grown under control and osmotic conditions. Proline strongly accumulated with osmotic stress. Its concentration exhibited a large variation among genotypes and was higher in hybrids than in parental lines. A positive association was noted between proline concentration and osmotic adjustment that was reflected in a reduction of osmotic stress induced injury, as showed by the reduced number of calli in the hybrids with higher proline concentration. Broad and narrow sense heritability was higher under osmotic stress suggesting applying the selection in osmotic stress condition. In the control treatment, dominance effects explained most of the genetic variation for proline concentration while under osmotic stress both dominance and additive variance were high. The importance of dominance and additive effects suggested that several genomic regions are controlling this trait. Good general combiners, presumably carrying positive additive alleles affecting proline concentration, were identified.