NGS technologies for analyzing germplasm diversity in genebanks.
NGS technologies for analyzing germplasm diversity in genebanks.
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DOI：
10.1093/bfgp/elr046
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发表时间：
2012-01
影响因子：
4
通讯作者：
Graner A
中科院分区：
文献类型：
--
作者：
Kilian B;Graner A
在第一个移地基因库建立70多年后，这一领域的主要工作仍然涉及进一步完成个人收集和确保其储存的问题。由于表型和基因型信息的有限可用性，植物育种家关于非原位收集的增值尝试受到阻碍。随着分子标记技术的出现，人们首次尝试对基因库中的数据进行指纹识别，尽管规模很小，而且大多基于不完善的DNA标记系统。DNA测序技术的进步和用于对数千个单核苷酸多态性（snp）进行多重并行分析的高通量系统的发展，现在提供了一套技术平台，可以使用最先进的测序技术每天分析数百个千兆碱基，或者同时分析数千个snp。本文综述了这些技术在植物遗传资源分析中的应用进展，以期从世界各地基因库中保存的大量遗传资源中识别遗传多样性模式、绘制数量性状图和挖掘新的等位基因。它还指的是为了充分利用高通量DNA分析的潜力，有针对性地利用植物遗传资源，需要克服的各种缺点和瓶颈。
More than 70 years after the first ex situ genebanks have been established, major efforts in this field are still concerned with issues related to further completion of individual collections and securing of their storage. Attempts regarding valorization of ex situ collections for plant breeders have been hampered by the limited availability of phenotypic and genotypic information. With the advent of molecular marker technologies first efforts were made to fingerprint genebank accessions, albeit on a very small scale and mostly based on inadequate DNA marker systems. Advances in DNA sequencing technology and the development of high-throughput systems for multiparallel interrogation of thousands of single nucleotide polymorphisms (SNPs) now provide a suite of technological platforms facilitating the analysis of several hundred of Gigabases per day using state-of-the-art sequencing technology or, at the same time, of thousands of SNPs. The present review summarizes recent developments regarding the deployment of these technologies for the analysis of plant genetic resources, in order to identify patterns of genetic diversity, map quantitative traits and mine novel alleles from the vast amount of genetic resources maintained in genebanks around the world. It also refers to the various shortcomings and bottlenecks that need to be overcome to leverage the full potential of high-throughput DNA analysis for the targeted utilization of plant genetic resources.
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影响因子：
3.7
作者：
Baird NA;Etter PD;Atwood TS;Currey MC;Shiver AL;Lewis ZA;Selker EU;Cresko WA;Johnson EA
通讯作者：
Johnson EA
影响因子：
3.7
作者：
Baxter SW;Davey JW;Johnston JS;Shelton AM;Heckel DG;Jiggins CD;Blaxter ML
通讯作者：
Blaxter ML
影响因子：
3.1
作者：
Alsop, B. P.;Farre, A.;Steffenson, B. J.
通讯作者：
Steffenson, B. J.
影响因子：
7.2
作者：
Austin, Ryan S.;Vidaurre, Danielle;Guttman, David S.
通讯作者：
Guttman, David S.
影响因子：
3.7
作者：
Borgström E;Lundin S;Lundeberg J
通讯作者：
Lundeberg J