Počet záznamů: 1  

Genome assembly of a diversity panel of Chenopodium quinoa

  1. 1.
    0603953 - ÚEB 2025 RIV GB eng J - Článek v odborném periodiku
    Rey, E. - Abrouk, M. - Dufau, I. - Rodde, N. - Saber, N. - Čížková, Jana - Fiene, G. - Stanschewski, C. - Jarvis, D. E. - Jellen, E.N. - Maughan, P. J. - von Baer, I. - Troukhan, M. - Kravchuk, M. - Hřibová, Eva - Cauet, S. - Krattinger, S.G. - Tester, M.
    Genome assembly of a diversity panel of Chenopodium quinoa.
    Scientific Data. Roč. 11, č. 1 (2024), č. článku 1366. ISSN 2052-4463. E-ISSN 2052-4463
    Institucionální podpora: RVO:61389030
    Klíčová slova: nuclear-dna content * size * genetic variation * plant genome
    Obor OECD: Genetics and heredity (medical genetics to be 3)
    Impakt faktor: 5.8, rok: 2023 ; AIS: 2.857, rok: 2023
    Způsob publikování: Open access
    Web výsledku:
    https://doi.org/10.1038/s41597-024-04200-4DOI: https://doi.org/10.1038/s41597-024-04200-4

    Quinoa (Chenopodium quinoa) is an important crop for the future challenges of food and nutrient security. Deep characterization of quinoa diversity is needed to support the agronomic improvement and adaptation of quinoa as its worldwide cultivation expands. In this study, we report the construction of chromosome-scale genome assemblies of eight quinoa accessions covering the range of phenotypic and genetic diversity of both lowland and highland quinoas. The assemblies were produced from a combination of PacBio HiFi reads and Bionano Saphyr optical maps, with total assembly sizes averaging 1.28 Gb with a mean N50 of 71.1 Mb. Between 43,733 and 48,564 gene models were predicted for the eight new quinoa genomes, and on average, 66% of each quinoa genome was classified as repetitive sequences. Alignment between the eight genome assemblies allowed the identification of structural rearrangements including inversions, translocations, and duplications. These eight novel quinoa genome assemblies provide a resource for association genetics, comparative genomics, and pan-genome analyses for the discovery of genetic components and variations underlying agriculturally important traits.
    Trvalý link: https://hdl.handle.net/11104/0361254


     
     
    Název souboruStaženoVelikostKomentářVerzePřístup
    2024_Rey_SCIENTIFIC DATA_1366.pdf12 MBJinápovolen
     
Počet záznamů: 1  

  Tyto stránky využívají soubory cookies, které usnadňují jejich prohlížení. Další informace o tom jak používáme cookies.