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The Apostasia genome and the evolution of orchids.麻兰属植物基因组与兰花的进化
Nature. 2017 Sep 21;549(7672):379-383. doi: 10.1038/nature23897. Epub 2017 Sep 13.
2
The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution.向日葵基因组为油脂代谢、开花和菊类植物进化提供了线索。
Nature. 2017 Jun 1;546(7656):148-152. doi: 10.1038/nature22380. Epub 2017 May 22.
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The impact of third generation genomic technologies on plant genome assembly.第三代基因组技术对植物基因组组装的影响。
Curr Opin Plant Biol. 2017 Apr;36:64-70. doi: 10.1016/j.pbi.2017.02.002. Epub 2017 Feb 21.
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Partial preferential chromosome pairing is genotype dependent in tetraploid rose.四倍体玫瑰中部分优先染色体配对取决于基因型。
Plant J. 2017 Apr;90(2):330-343. doi: 10.1111/tpj.13496. Epub 2017 Mar 20.
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Orchidstra 2.0-A Transcriptomics Resource for the Orchid Family.兰花转录组数据库2.0——兰科植物的转录组学资源
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Generation of Gene-Edited Chrysanthemum morifolium Using Multicopy Transgenes as Targets and Markers.以多拷贝转基因作为靶点和标记物生成基因编辑菊花
Plant Cell Physiol. 2017 Feb 1;58(2):216-226. doi: 10.1093/pcp/pcw222.
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Genome analysis of Hibiscus syriacus provides insights of polyploidization and indeterminate flowering in woody plants.木槿的基因组分析为木本植物的多倍体化和无限开花提供了见解。
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Genome sequence and analysis of the Japanese morning glory Ipomoea nil.基因组序列和分析日本牵牛(Ipomoea nil)。
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9
High-density SNP-based genetic maps for the parents of an outcrossed and a selfed tetraploid garden rose cross, inferred from admixed progeny using the 68k rose SNP array.利用68k玫瑰SNP芯片,从杂交后代推断出的异交四倍体和自交四倍体园林玫瑰杂交亲本的基于高密度SNP的遗传图谱。
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10
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观赏植物全基因组测序、高密度连锁图谱及基因组数据库的最新进展。

Recent progress in whole genome sequencing, high-density linkage maps, and genomic databases of ornamental plants.

作者信息

Yagi Masafumi

机构信息

Institute of Vegetable and Floriculture Science, NARO, 2-1 Fujimoto, Tsukuba, Ibaraki 305-0852, Japan.

出版信息

Breed Sci. 2018 Jan;68(1):62-70. doi: 10.1270/jsbbs.17080. Epub 2018 Feb 17.

DOI:10.1270/jsbbs.17080
PMID:29681748
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5903975/
Abstract

Genome information is useful for functional analysis of genes, comparative genomic analysis, breeding of new varieties by marker-assisted selection, and map-based gene isolation. Genome-related research in ornamentals plants has been relatively slow to develop because of their heterozygosity or polyploidy. Advances in analytical instruments, such as next-generation sequencers and information processing technologies have revolutionized biology, and have been applied in a large number and variety of species, including ornamental plants. Recently, high-quality whole genome sequences have been reported in plant genetics and physiology studies of model ornamentals, such as those in genus and Japanese morning glory (). In this review, whole genome sequencing and construction of high-density genetic linkage maps based on SNP markers of ornamentals will be discussed. The databases that store this information for ornamentals are also described.

摘要

基因组信息对于基因的功能分析、比较基因组分析、基于标记辅助选择的新品种培育以及图位克隆基因非常有用。由于观赏植物的杂合性或多倍体性,其相关基因组研究发展相对缓慢。诸如新一代测序仪等分析仪器以及信息处理技术的进步给生物学带来了变革,并已应用于包括观赏植物在内的大量且多样的物种。最近,在模式观赏植物(如牵牛属植物和日本牵牛)的植物遗传学和生理学研究中报道了高质量的全基因组序列。在本综述中,将讨论观赏植物基于单核苷酸多态性(SNP)标记的全基因组测序和高密度遗传连锁图谱的构建。还将描述存储观赏植物此类信息的数据库。