美国科学家开发全基因组测序水稻变体,一种快速的突变体库创建方法

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愈演愈烈体库是意义基因组学研讨的雄强军械。随着技能的向上,植物突变体库的创造方法已经特别丰盛,比方:T-DNA或转座子插入、EMS或辐射诱变、宝马7系NAi或基因编辑干涉。分裂的秘籍都装有各自的利弊。最新的《The
Plant
Cell》杂志报道了三个运用快中子辐射和全基因组测序创制的大豆突变体库。

大豆不只有是全世界陆分之四个人口的主食,也为研商财富作物提供了模型。为优化生物燃料作物,物经济学家正找出决定大麦生产总量、抗病性和灌水功用等特征的基因。

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多年来在《植物细胞》杂志公布的风度翩翩篇杂文中,美利坚合众国加利福尼亚州大学Davis分校的切磋团体与来自财富部联合基因组商讨所的协小编,发表开荒出稻谷Kitaake的率先个全基因组测序快中子误导突变体种群,生机勃勃种风尚的短生命周期稻谷品种模型。

快中子是核反应中未通过慢化剂慢化的后生可畏类中子,用其进展辐射诱变能够产生意气风发系列的一改故辙类型,包涵:碱基替换、片段缺点和失误或插队、染色体倒位或异位、随机复制等,那也是它相对于任何突变方法的显着优势。商量职员将东瀛特早熟晚稻品种Kitaake当做受体,利用快中子辐射创建了一个别开生面体库。对1504个突变株系进行45倍覆盖度的全基因组测序解析,推断了915拾个突变位点,这么些位点影响了32307个基因。研究职员将那些突变体音讯整合成二个名称叫KitBase(
快中子辐射能够产生生龙活虎连串的突变类型(当中碱基替换的一反其道类型最多,其次是黄金时代对缺点和失误),全基因组测序能够连忙地评判突变位点,
Kitaake品种比超短的生育期有利于进步性状判定的快慢。那样快速的突变体创建和评例如案对于植物功效基因组切磋以至采纳基因编辑工夫扩充品改来讲意义主要。The
Plant Cell, 2017 June 2The Sequences of 1,504 Mutants in the Model Rice
Variety Kitaake Facilitate Rapid Functional Genomic StudiesAuthorGuotian
Li, Rashmi Jain, Mawsheng Chern……Kerrie W. Barry, Jeremy Schmutz and
Pamela C. 罗恩ald**: Departmentof Plant Pathology and the Genome
Center, University of California, Davis; Lawrence Berkeley National
Laboratory, USAAbstractThe availability of a whole-genome sequenced
mutant population and the cataloging of mutations of each line at a
single-nucleotide resolution facilitate functional genomic analysis. To
this end, we generated and sequenced a fast-neutron-induced mutant
population in the model rice cultivar Kitaake (Oryza sativa L. ssp.
japonica), which completes its life cycle in 9 weeks. We sequenced 1,504
mutant lines at 45-fold coverage and identified 91,513 mutations
affecting 32,307 genes, i.e., 58% of all rice genes. We detected an
average of 61 mutations per line. Mutation types include single base
substitutions, deletions, insertions, inversions, translocations, and
tandem duplications. We observed a high proportion of loss-of-function
mutations. We identified an inversion affecting a single gene as the
causative mutation for the short-grain phenotype in one mutant line.
This result reveals the usefulness of the resource for efficient,
cost-effective identification of genes conferring specific phenotypes.
To facilitate public access to this genetic resource, we established an
open access database called KitBase that provides access to sequence
data and seed stocks. This population complements other available mutant
collections and gene-editing technologies. This work demonstrates how
inexpensive next-generation sequencing can be applied to generate a
high-density catalog of mutations.

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