Literature DB >> 29082687

[Medicinal plant DNA marker assisted breeding (Ⅱ) the assistant identification of SNPs assisted identification and breeding research of high yield Perilla frutescens new variety].

Qi Shen1,2, Dong Zhang1, Wei Sun1, Yu-Jun Zhang1, Zhi-Wei Shang2, Shi-Lin Chen1.   

Abstract

Perilla frutescens is one of 60 kinds of food and medicine plants in the initial directory announced by health ministry of China. With the development of Perilla domain in recent , the breeding and application of good varieties has become the main bottleneck of its development. This study reported that applied to the system selection, add to marker-assisted method to breed perilla varieties. Through the whole genome sequencing and consistency matching, annotated the mutation locus according to genome data, and comparison analysis with Perilla common variants database, finally selected 30 non-synonymous mutation SNPs used as characteristic markers of Zhongyan Feishu No.1. those SNP marker were used as chosen standard of Perilla varieties. Finally breeding new perilla variety Zhongyan Feishu No.1, which possess to characters of the leaf and seed dual-used, high yield, high resistance, and could used to green fertilizer. The Zhongyan Feishu No.1 acquired the plant new varieties identification of Beijing city , the identification numbers is 2016054. Marker assisted identification guide new varieties breeding in plants, which can provide a new reference for breeding of medicinal plants. Copyright© by the Chinese Pharmaceutical Association.

Entities:  

Keywords:  NP ; Perilla frutescens ; marker assisted identification breeding ; variety breeding

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Year:  2017        PMID: 29082687     DOI: 10.19540/j.cnki.cjcmm.20170418.001

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  1 in total

1.  Global Pharmacopoeia Genome Database is an integrated and mineable genomic database for traditional medicines derived from eight international pharmacopoeias.

Authors:  Baosheng Liao; Haoyu Hu; Shuiming Xiao; Guanru Zhou; Wei Sun; Yang Chu; Xiangxiao Meng; Jianhe Wei; Han Zhang; Jiang Xu; Shilin Chen
Journal:  Sci China Life Sci       Date:  2021-08-06       Impact factor: 10.372

  1 in total

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