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    Home > Food News > Food Articles > Scientists construct high-quality golden millet genome map

    Scientists construct high-quality golden millet genome map

    • Last Update: 2021-12-01
    • Source: Internet
    • Author: User
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    On November 26, "Nature-Communication" published two online studies led by a Chinese scientific research team in a back-to-back format.


    Angiosperms are the most abundant and abundant plant group on earth


    The research team of Liu Huan, director of the Institute of Digital Earth of the Shenzhen BGI Institute of Life Sciences, and the Douglas E.


    The evolutionary analysis of the genome found that the golden millet orchid and the Ascaris and Coral plants in the same group shared an ancient genome-wide doubling event about 98 million to 130 million years ago.


    In addition to identifying the phylogenetic location of Chrysosporium which has always been controversial, the research also provides scientific support for the utilization of medicinal and aromatic compounds of Chrysospermum plants and the protection of species resources


    The team of Professor Liu Jianquan of the Institute of Ecological Innovation of Lanzhou University also constructed a high-quality chromosome-level genome map of Sichuan Jinsulan, drawing the tandem tree and ancestor tree of the species, and obtained high-confidence topological structures, namely Jinsulanmu and Magnolia.


    At the same time, the study also found a large number of inconsistencies between gene trees or chloroplast trees and species trees, so it focused on evaluating the contribution of incomplete lineage sorting (ILS) and hybridization events to this conflict


    These two studies reported high-quality golden millet genomes, which filled the genome information of the core angiosperm golden millet orchids, and through a variety of analysis strategies and methods, in-depth revealed the complex evolutionary process between core angiosperms, in order to understand the origin of early angiosperms , Radiation evolution and adaptive evolution process provide data support and theoretical basis


    Related paper information:

    https://doi.


    https://doi.


    https://doi.
    org/10.
    1038/s41467-021-26931-3
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