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The genome of Chenopodium quinoa

Author

Listed:
  • David E. Jarvis

    (King Abdullah University of Science and Technology (KAUST))

  • Yung Shwen Ho

    (King Abdullah University of Science and Technology (KAUST))

  • Damien J. Lightfoot

    (King Abdullah University of Science and Technology (KAUST))

  • Sandra M. Schmöckel

    (King Abdullah University of Science and Technology (KAUST))

  • Bo Li

    (King Abdullah University of Science and Technology (KAUST))

  • Theo J. A. Borm

    (Wageningen University and Research, Wageningen UR Plant Breeding)

  • Hajime Ohyanagi

    (King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC))

  • Katsuhiko Mineta

    (King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer)

  • Craig T. Michell

    (King Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC))

  • Noha Saber

    (King Abdullah University of Science and Technology (KAUST))

  • Najeh M. Kharbatia

    (King Abdullah University of Science and Technology (KAUST), Analytical Core Lab)

  • Ryan R. Rupper

    (Brigham Young University, College of Life Sciences)

  • Aaron R. Sharp

    (Brigham Young University, College of Life Sciences)

  • Nadine Dally

    (Plant Breeding Institute, Christian-Albrechts-University of Kiel)

  • Berin A. Boughton

    (Metabolomics Australia, The School of Biosciences, The University of Melbourne)

  • Yong H. Woo

    (King Abdullah University of Science and Technology (KAUST))

  • Ge Gao

    (King Abdullah University of Science and Technology (KAUST))

  • Elio G. W. M. Schijlen

    (PRI Bioscience, Plant Research International)

  • Xiujie Guo

    (King Abdullah University of Science and Technology (KAUST))

  • Afaque A. Momin

    (King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC))

  • Sónia Negrão

    (King Abdullah University of Science and Technology (KAUST))

  • Salim Al-Babili

    (King Abdullah University of Science and Technology (KAUST))

  • Christoph Gehring

    (King Abdullah University of Science and Technology (KAUST))

  • Ute Roessner

    (Metabolomics Australia, The School of Biosciences, The University of Melbourne)

  • Christian Jung

    (Plant Breeding Institute, Christian-Albrechts-University of Kiel)

  • Kevin Murphy
  • Stefan T. Arold

    (King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC))

  • Takashi Gojobori

    (King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC))

  • C. Gerard van der Linden

    (Wageningen University and Research, Wageningen UR Plant Breeding)

  • Eibertus N. van Loo

    (Wageningen University and Research, Wageningen UR Plant Breeding)

  • Eric N. Jellen

    (Brigham Young University, College of Life Sciences)

  • Peter J. Maughan

    (Brigham Young University, College of Life Sciences)

  • Mark Tester

    (King Abdullah University of Science and Technology (KAUST))

Abstract

Chenopodium quinoa (quinoa) is a highly nutritious grain identified as an important crop to improve world food security. Unfortunately, few resources are available to facilitate its genetic improvement. Here we report the assembly of a high-quality, chromosome-scale reference genome sequence for quinoa, which was produced using single-molecule real-time sequencing in combination with optical, chromosome-contact and genetic maps. We also report the sequencing of two diploids from the ancestral gene pools of quinoa, which enables the identification of sub-genomes in quinoa, and reduced-coverage genome sequences for 22 other samples of the allotetraploid goosefoot complex. The genome sequence facilitated the identification of the transcription factor likely to control the production of anti-nutritional triterpenoid saponins found in quinoa seeds, including a mutation that appears to cause alternative splicing and a premature stop codon in sweet quinoa strains. These genomic resources are an important first step towards the genetic improvement of quinoa.

Suggested Citation

  • David E. Jarvis & Yung Shwen Ho & Damien J. Lightfoot & Sandra M. Schmöckel & Bo Li & Theo J. A. Borm & Hajime Ohyanagi & Katsuhiko Mineta & Craig T. Michell & Noha Saber & Najeh M. Kharbatia & Ryan R, 2017. "The genome of Chenopodium quinoa," Nature, Nature, vol. 542(7641), pages 307-312, February.
    • Handle: RePEc:nat:nature:v:542:y:2017:i:7641:d:10.1038_nature21370
    DOI: 10.1038/nature21370
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    Cited by:

    1. Syed Riaz Ahmed & Zeba Ali & Iram Ijaz & Zafran Khan & Nimra Gul & Soha Pervaiz & Hesham F. Alharby & Daniel K. Y. Tan & Muhammad Sayyam Tariq & Maria Ghaffar & Amir Bibi & Khalid Rehman Hakeem, 2023. "Multi-Trait Selection of Quinoa Ideotypes at Different Levels of Cutting and Spacing," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    2. Xiaofeng Cai & Xuepeng Sun & Chenxi Xu & Honghe Sun & Xiaoli Wang & Chenhui Ge & Zhonghua Zhang & Quanxi Wang & Zhangjun Fei & Chen Jiao & Quanhua Wang, 2021. "Genomic analyses provide insights into spinach domestication and the genetic basis of agronomic traits," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    3. Abdul Hameed & Sadiq Hussain & Aysha Rasheed & Muhammad Zaheer Ahmed & Sahar Abbas, 2024. "Exploring the Potentials of Halophytes in Addressing Climate Change-Related Issues: A Synthesis of Their Biological, Environmental, and Socioeconomic Aspects," World, MDPI, vol. 5(1), pages 1-22, January.

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