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    Home > Biochemistry News > Biotechnology News > High-throughput sequencing method: high-density chain mapping of yield-related genes.

    High-throughput sequencing method: high-density chain mapping of yield-related genes.

    • Last Update: 2020-08-09
    • Source: Internet
    • Author: User
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    Rice is an important food crop, and improving yield and quality is the pursuit of breeders.
    but "high yield is not high quality, high quality is not high yield" is a bottleneck problem of rice breeding.
    recently, Wu Yuejin, a researcher at the Institute of Technical Biology and Agricultural Engineering of hefei Institute of Material Sciences of the Chinese Academy of Sciences, and Fu Xiangdong, a researcher at the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences, worked together to map a high-density chain of yield-related genes using the recombinant self-interstitial system of indica varieties 93-11 and indica varieties, Japan Qingqing.
    used QTL (quantitative characteristic site) analysis to identify a number of control grain type and rice quality QTL sites, further map clones identified five positive or negative impact grain type and rice quality of the main effect QTL (GW5, GW7, GW8, GS3, OsMADS1).
    study found that different combinations of the five QTL sites can produce different granules and yield different rice quality.
    obtained the highest yield and optimal rice quality by designing GW5, GW8 points from Japan and GW7, GS3 and OsMADS 1 bits from 9311, and the best rice quality by comparing the yield and quality of a pair of near-gene systems of 9311 and 9311-GW5NIP-GW8NIP.
    , by reasonably combining the excellent alleles of multiple rice granulation control, the double improvement of rice yield and quality can be achieved, and a new way of thinking can be provided to further realize the breeding goal of high yield and high quality.
    results have been published as cover articles by Journal of Genetics and Genomics, with Ph.D. candidate Wu Kun as the first author.
    the research was funded by the National Natural Science Foundation of China and the Chinese Academy of Sciences, which are strategically leading science and technology.
    .
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