Gene banks for wild and cultivated sunflower genetic resources

Terzić, S.; Boniface, Marie‐Claude; Marek, Laura F.; Álvarez, Daniel León; Baumann, Karin; Гаврилова, В. А.; Joiţa-Păcureanu, Maria; Sujatha, M.; Valkova, Daniela; Velasco, Leonardo; Hulke, Brent S.; Jocić, Sini sa; Langlade, Nicolas; Muños, Stéphane; Rieseberg, Loren H.; Seiler, Gerald J.; Vear, Félicity

doi:10.1051/ocl/2020004

Cited by 25 publications

(17 citation statements)

References 90 publications

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“…Pustovoit and his colleagues selected sunflower varieties with higher seed oil content, culminating in developing the Peredovik 11 variety in 1958 with the oil content increased to 51% [ 3 ]. Russian sunflower varieties with high oil content formed the basis of sunflower breeding worldwide, leading to global sunflower cultivation for oil [ 4 – 6 ].…”

Section: Introductionmentioning

confidence: 99%

Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content

et al. 2021

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Background Sunflower is an important oilseed crop domesticated in North America approximately 4000 years ago. During the last century, oil content in sunflower was under strong selection. Further improvement of oil properties achieved by modulating its fatty acid composition is one of the main directions in modern oilseed crop breeding. Results We searched for the genetic basis of fatty acid content variation by genotyping 601 inbred sunflower lines and assessing their lipid and fatty acid composition. Our genome-wide association analysis based on the genotypes for 15,483 SNPs and the concentrations of 23 fatty acids, including minor fatty acids, revealed significant genetic associations for eleven of them. Identified genomic regions included the loci involved in rare fatty acids variation on chromosomes 3 and 14, explaining up to 34.5% of the total variation of docosanoic acid (22:0) in sunflower oil. Conclusions This is the first large scale implementation of high-throughput lipidomic profiling to sunflower germplasm characterization. This study contributes to the genetic characterization of Russian sunflower collections, which made a substantial contribution to the development of sunflower as the oilseed crop worldwide, and provides new insights into the genetic control of oil composition that can be implemented in future studies.

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Section: Introductionmentioning

confidence: 99%

Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content

et al. 2021

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“…Picheny et al, 2017aPicheny et al, , 2017bVincourt and Carolo, 2018;Gosseau et al, 2019;Debaeke et al, 2020). The existence of important wild and cultivated genetic resources in sunflower should facilitate the adaptation to this new context as well (Vear, 2016;Seiler et al, 2017;Terzić et al, 2020).…”

Section: Allelopathymentioning

confidence: 99%

New challenges for sunflower ideotyping in changing environments and more ecological cropping systems

Debaeke

Casadebaig

Langlade

2021

OCL

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As a rainfed spring-sown crop, sunflower (Helianthus annuus L.) is increasingly exposed to negative impacts of climate change, especially to high temperatures and drought stress. Incremental, systemic and transformative adaptations have been suggested for reducing the crop vulnerability to these stressful conditions. In addition, innovative cropping systems based on low-input management, organic farming, soil and water conservation practices, intercropping, double-cropping, and/or agroforestry are undergoing marked in agriculture. Because of its plasticity and low-input requirements (nitrogen, water, pesticides), sunflower crop is likely to take part to these new agroecological systems. Aside from current production outputs (yield, oil and cake), ecosystem services (e.g. bee feeding, soil phytoremediation…), and non-food industrial uses are now expected externalities for the crop. The combination of climatic and societal contexts could deeply modify the characteristics of genotypes to be cultivated in the main production areas (either traditional or adoptive). After reviewing these changes, we identify how innovative cropping systems and new environments could modify the traits classically considered up to now, especially in relation to expected ecosystem services. Finally, we consider how research could provide methods to help identifying traits of interest and design ideotypes.

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“…As indicated in the previous study, an assembly of three high-quality sunflower reference genomes is available, two of them covering genomes of inbred lines XRQ and HA412-HO and one of the restorer line PSC8 [29]. These high resolution sunflower maps enable narrowing the targeted area in the pursuit for desirable genes for many important traits [30].…”

Section: Genomics-pangenomicsmentioning

confidence: 99%

Genetic Improvement in Sunflower Breeding—Integrated Omics Approach

Jocković

Jocić

Cvejić

et al. 2021

Plants

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Foresight in climate change and the challenges ahead requires a systematic approach to sunflower breeding that will encompass all available technologies. There is a great scarcity of desirable genetic variation, which is in fact undiscovered because it has not been sufficiently researched as detection and designing favorable genetic variation largely depends on thorough genome sequencing through broad and deep resequencing. Basic exploration of genomes is insufficient to find insight about important physiological and molecular mechanisms unique to crops. That is why integrating information from genomics, epigenomics, transcriptomics, proteomics, metabolomics and phenomics enables a comprehensive understanding of the molecular mechanisms in the background of architecture of many important quantitative traits. Omics technologies offer novel possibilities for deciphering the complex pathways and molecular profiling through the level of systems biology and can provide important answers that can be utilized for more efficient breeding of sunflower. In this review, we present omics profiling approaches in order to address their possibilities and usefulness as a potential breeding tools in sunflower genetic improvement.

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Gene banks for wild and cultivated sunflower genetic resources

Cited by 25 publications

References 90 publications

Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content

Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content

New challenges for sunflower ideotyping in changing environments and more ecological cropping systems

Genetic Improvement in Sunflower Breeding—Integrated Omics Approach

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