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SBMDb:首个用于生物能源和工业应用的甜菜全基因组推定微卫星DNA标记数据库。

SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications.

作者信息

Iquebal Mir Asif, Jaiswal Sarika, Angadi U B, Sablok Gaurav, Arora Vasu, Kumar Sunil, Rai Anil, Kumar Dinesh

机构信息

Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India.

Biotechnology Unit, Department of Botany, Jai Narain Vyas University, Jodhpur 342003, India, Plant Functional Biology and Climate Change Cluster (C3), University of Technology, Sydney, PO Box 123 Broadway New South Wales 2007, Australia.

出版信息

Database (Oxford). 2015 Dec 8;2015. doi: 10.1093/database/bav111. Print 2015.

Abstract

DNA marker plays important role as valuable tools to increase crop productivity by finding plausible answers to genetic variations and linking the Quantitative Trait Loci (QTL) of beneficial trait. Prior approaches in development of Short Tandem Repeats (STR) markers were time consuming and inefficient. Recent methods invoking the development of STR markers using whole genomic or transcriptomics data has gained wide importance with immense potential in developing breeding and cultivator improvement approaches. Availability of whole genome sequences and in silico approaches has revolutionized bulk marker discovery. We report world's first sugarbeet whole genome marker discovery having 145 K markers along with 5 K functional domain markers unified in common platform using MySQL, Apache and PHP in SBMDb. Embedded markers and corresponding location information can be selected for desired chromosome, location/interval and primers can be generated using Primer3 core, integrated at backend. Our analyses revealed abundance of 'mono' repeat (76.82%) over 'di' repeats (13.68%). Highest density (671.05 markers/Mb) was found in chromosome 1 and lowest density (341.27 markers/Mb) in chromosome 6. Current investigation of sugarbeet genome marker density has direct implications in increasing mapping marker density. This will enable present linkage map having marker distance of ∼2 cM, i.e. from 200 to 2.6 Kb, thus facilitating QTL/gene mapping. We also report e-PCR-based detection of 2027 polymorphic markers in panel of five genotypes. These markers can be used for DUS test of variety identification and MAS/GAS in variety improvement program. The present database presents wide source of potential markers for developing and implementing new approaches for molecular breeding required to accelerate industrious use of this crop, especially for sugar, health care products, medicines and color dye. Identified markers will also help in improvement of bioenergy trait of bioethanol and biogas production along with reaping advantage of crop efficiency in terms of low water and carbon footprint especially in era of climate change. Database URL: http://webapp.cabgrid.res.in/sbmdb/.

摘要

DNA标记作为有价值的工具发挥着重要作用,通过找到遗传变异的合理答案并将有益性状的数量性状位点(QTL)联系起来,从而提高作物产量。以前开发短串联重复序列(STR)标记的方法既耗时又低效。最近利用全基因组或转录组学数据开发STR标记的方法变得非常重要,在开发育种和培育品种改良方法方面具有巨大潜力。全基因组序列的可用性和计算机方法彻底改变了大量标记的发现。我们报告了世界上第一个甜菜全基因组标记发现,在SBMDb中使用MySQL、Apache和PHP在一个通用平台上统一了145K个标记以及5K个功能域标记。可以为所需的染色体选择嵌入式标记和相应的位置信息,可以使用后端集成的Primer3核心生成位置/区间和引物。我们的分析表明,“单”重复序列(76.82%)比“双”重复序列(13.68%)更为丰富。在第1号染色体上发现了最高密度(671.05个标记/Mb),在第6号染色体上发现了最低密度(341.27个标记/Mb)。目前对甜菜基因组标记密度的研究对增加图谱标记密度有直接影响。这将使目前的连锁图谱标记距离约为2厘摩,即从200到2.6Kb,从而便于进行QTL/基因定位。我们还报告了基于电子PCR在五个基因型面板中检测到2027个多态性标记。这些标记可用于品种鉴定的DUS测试以及品种改良计划中的分子标记辅助选择/基因组选择。本数据库为开发和实施加速该作物工业利用所需的分子育种新方法提供了广泛的潜在标记来源,特别是用于糖、保健品、药品和染料。鉴定出的标记还有助于改善生物乙醇和沼气生产的生物能源特性,同时在低水和碳足迹方面提高作物效率,特别是在气候变化时代。数据库网址:http://webapp.cabgrid.res.in/sbmdb/

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edfa/4672366/f226c7bfe5e3/bav111f1p.jpg

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