Open Access

BMC Genomics

, volume 22 , issue 1 , publication number 505

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

Alina Chernova ^{1, 2}

Rim F Gubaev ^{1, 2}

Anupam Singh ³

Katrina Sherbina ³

Svetlana V. Goryunova ^{1, 4, 5}

Elena U Martynova ¹

Denis V Goryunov ^{1, 6}

Stepan V Boldyrev ^{1, 2}

Anna A Vanyushkina ¹

Nikolay A. Anikanov ¹

Elena A Stekolshchikova ¹

Ekaterina A Yushina ^{1, 7}

Yakov N Demurin ⁸

Zhanna M Mukhina ⁹

Vera A. Gavrilova ¹⁰

Irina N. Anisimova ¹⁰

Yulia I Karabitsina ¹⁰

Natalia V Alpatieva ¹⁰

Peter L. Chang ³

Philipp Khaitovich ¹

Pavel V Mazin ¹

Sergey V. Nuzhdin ³

Hide authors affiliations Show authors affiliations: 10 affiliations

Skolkovo Institute of Science and Technology (SKOLTECH), Moscow, Russia |

LLC “OIL GENE”, Skolkovo Innovation Center, Moscow, Russia |

Department of Biological Sciences, University of Southern California, Los Angeles, USA |

⁴

Vavilov Institute of general genetics, Russian Academy of Sciences, Moscow, Russia |

⁵

FSBSI Lorch Potato Research Institute, Kraskovo, Russia |

⁶

MSU A.N. Belozersky Institute of Physico-Chemical Biology, Moscow, Russia |

⁷

FSBSI N P Bochkov Research Center of Medical Genetics, Moscow, Russia |

⁸

Pustovoit All-Russia Research Institute of Oilseed Crops, Krasnodar, Russia |

⁹

All-Russia Rice Research Institute, Krasnodar, Russia |

¹⁰

N. I. Vavilov Research Institute of Plant Genetic Resources (VIR), St. Petersburg, Russia |

Publication type: Journal Article

Publication date: 2021-07-05

Springer Nature

BMC Genomics

scimago Q1

wos Q2

SJR: 1.003

CiteScore: 5.9

Impact factor: 3.7

ISSN: 14712164

DOI: 10.1186/s12864-021-07768-y

Copy DOI

PubMed ID: 34225652

Genetics

Biotechnology

Abstract

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.

Found

3 citations

Gubaev Rim

🥼 🤝

PhD in Biological/biomedical sciences

10 publications, 107 citations

h-index: 5

Skolkovo Institute of Science and Technology

Saint-Petersburg State Forest Technical University

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GOST Copy

Chernova A. et al. Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content // BMC Genomics. 2021. Vol. 22. No. 1. 505

GOST all authors (up to 50) Copy

Chernova A., Gubaev R. F., Singh A., Sherbina K., Goryunova S. V., Martynova E. U., Goryunov D. V., Boldyrev S. V., Vanyushkina A. A., Anikanov N. A., Stekolshchikova E. A., Yushina E. A., Demurin Y. N., Mukhina Z. M., Gavrilova V. A., Anisimova I. N., Karabitsina Y. I., Alpatieva N. V., Chang P. L., Khaitovich P., Mazin P. V., Nuzhdin S. V. Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content // BMC Genomics. 2021. Vol. 22. No. 1. 505

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1186/s12864-021-07768-y

UR - https://doi.org/10.1186/s12864-021-07768-y

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

T2 - BMC Genomics

AU - Chernova, Alina

AU - Gubaev, Rim F

AU - Singh, Anupam

AU - Sherbina, Katrina

AU - Goryunova, Svetlana V.

AU - Martynova, Elena U

AU - Goryunov, Denis V

AU - Boldyrev, Stepan V

AU - Vanyushkina, Anna A

AU - Anikanov, Nikolay A.

AU - Stekolshchikova, Elena A

AU - Yushina, Ekaterina A

AU - Demurin, Yakov N

AU - Mukhina, Zhanna M

AU - Gavrilova, Vera A.

AU - Anisimova, Irina N.

AU - Karabitsina, Yulia I

AU - Alpatieva, Natalia V

AU - Chang, Peter L.

AU - Khaitovich, Philipp

AU - Mazin, Pavel V

AU - Nuzhdin, Sergey V.

PY - 2021

DA - 2021/07/05

PB - Springer Nature

IS - 1

VL - 22

PMID - 34225652

SN - 1471-2164

ER -

BibTex

Cite this

BibTex (up to 50 authors) Copy

@article{2021_Chernova,

author = {Alina Chernova and Rim F Gubaev and Anupam Singh and Katrina Sherbina and Svetlana V. Goryunova and Elena U Martynova and Denis V Goryunov and Stepan V Boldyrev and Anna A Vanyushkina and Nikolay A. Anikanov and Elena A Stekolshchikova and Ekaterina A Yushina and Yakov N Demurin and Zhanna M Mukhina and Vera A. Gavrilova and Irina N. Anisimova and Yulia I Karabitsina and Natalia V Alpatieva and Peter L. Chang and Philipp Khaitovich and Pavel V Mazin and Sergey V. Nuzhdin},

title = {Genotyping and lipid profiling of 601 cultivated sunflower lines reveals novel genetic determinants of oil fatty acid content},

journal = {BMC Genomics},

year = {2021},

volume = {22},

publisher = {Springer Nature},

month = {jul},

url = {https://doi.org/10.1186/s12864-021-07768-y},

number = {1},

pages = {505},

doi = {10.1186/s12864-021-07768-y}

}

Publisher

Springer Nature

Journal

BMC Genomics

scimago Q1

wos Q2

SJR

1.003

CiteScore

5.9

Impact factor

3.7

ISSN

14712164 (Print, Electronic)

Labs

Laboratory of Molecular Neuroscience

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