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通过结合通用叶绿体和核DNA序列靶点对主要地中海豆科作物进行条形码鉴定。

Barcoding the major Mediterranean leguminous crops by combining universal chloroplast and nuclear DNA sequence targets.

作者信息

Madesis P, Ganopoulos I, Ralli P, Tsaftaris A

机构信息

Institute of Agrobiotechnology, Centre for Research and Technology Hellas, Thessaloniki, Greece.

出版信息

Genet Mol Res. 2012 Aug 16;11(3):2548-58. doi: 10.4238/2012.July.10.10.

DOI:10.4238/2012.July.10.10
PMID:22869075
Abstract

The ability to discriminate all species is the ultimate target in barcoding. The Mediterranean basin is a center of origin for legumes and thus they have played a key role in feeding the Mediterranean population. It is also a region with important protected designation of origin and protected geographical indication legumes that provide income in rural areas. We evaluated the use of two chloroplast regions, trnL and rpoC1, and a nuclear internal transcriber region, ITS2, for their efficiency to barcode the main Mediterranean leguminous crops. Twenty-five legume species were studied. Plant material of pasture and legumes was obtained from the Greek GenBank and the Fodder Crops and Pastures Institute (National Agricultural Research Foundation). DNA was extracted with the Qiagen DNeasy plant mini-kit and PCR amplification was performed using the Kapa Taq DNA polymerase using primers amplifying the chloroplast trnL and rpoC1 regions or the nuclear region ITS2. PCR products were sequenced and the sequences were aligned using CLUSTAL W. Species identification based on the sequence similarity approach was performed using the GenBank database. In order to evaluate intraspecific and interspecific divergence in legumes we used Molecular Evolutionary Genetics Analysis 5 and for pairwise Kimura 2-parameter distance calculations for all 3 DNA regions (2 chloroplast regions, trnL and rpoC1, and the nuclear region ITS2). Four tree-based methods (neighbor joining and maximum parsimony, maximum likelihood, and Bayesian inference analyses) were used to exhibit the molecular identification results to represent differences as an uprooted dendrogram. Additionally, the sequence character-based method was used with DnaSP and the information from each site was treated as a character to distinguish the species from one another. The DNA regions trnL and ITS2 successfully (100%) discriminated the Mediterranean crop legume species used, while rpoC1 identified only 72% of them. Furthermore, the use of the trnL region enabled the discrimination of even very closely related species, like Phaseolus lunatus and P. coccineus or Vicia faba subsp major with V. faba subsp minor, which are so closely related that even in NCBI they were both referred as Phaseolus vulgaris and V. faba, respectively. We conclude that trnL and ITS2 are efficient DNA barcoding target regions in order to discriminate Mediterranean leguminous crops and provide a reliable and efficient tool for the scientific, agricultural and industrial community.

摘要

区分所有物种的能力是条形码技术的最终目标。地中海盆地是豆类植物的起源中心,因此它们在为地中海地区人口提供食物方面发挥了关键作用。该地区还有重要的受保护原产地命名和受保护地理标志豆类产品,为农村地区带来收入。我们评估了两个叶绿体区域trnL和rpoC1以及一个核内转录间隔区ITS2对地中海主要豆科作物进行条形码识别的效率。研究了25种豆科植物。牧场和豆类植物的材料取自希腊基因库和饲料作物与牧场研究所(国家农业研究基金会)。使用Qiagen DNeasy植物微量提取试剂盒提取DNA,并使用Kapa Taq DNA聚合酶进行PCR扩增,所用引物用于扩增叶绿体trnL和rpoC1区域或核区域ITS2。对PCR产物进行测序,并使用CLUSTAL W对序列进行比对。基于序列相似性方法的物种鉴定使用GenBank数据库进行。为了评估豆科植物的种内和种间差异,我们使用了分子进化遗传学分析软件5,并对所有3个DNA区域(2个叶绿体区域trnL和rpoC1以及核区域ITS2)进行成对Kimura 2-参数距离计算。使用四种基于树的方法(邻接法、最大简约法、最大似然法和贝叶斯推断分析)展示分子鉴定结果,以无根树状图的形式呈现差异。此外,基于序列特征的方法与DnaSP一起使用,每个位点的信息被视为一个特征来区分不同物种。DNA区域trnL和ITS2成功(100%)区分了所使用的地中海作物豆科物种,而rpoC1仅识别出其中的72%。此外,使用trnL区域能够区分甚至非常相近的物种,如利马豆和红花菜豆,或蚕豆的主要亚种和次要亚种,它们的亲缘关系非常近,以至于在NCBI中甚至分别被归类为菜豆和蚕豆。我们得出结论,trnL和ITS2是区分地中海豆科作物的有效DNA条形码目标区域,为科学、农业和工业领域提供了一个可靠且高效的工具。

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