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首页> 外文期刊>Journal of phycology >DNA BARCODING THE GENUS CHARA: MOLECULAR EVIDENCE RECOVERS FEWER TAXA THAN THE CLASSICAL MORPHOLOGICAL APPROACH
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DNA BARCODING THE GENUS CHARA: MOLECULAR EVIDENCE RECOVERS FEWER TAXA THAN THE CLASSICAL MORPHOLOGICAL APPROACH

机译:用DNA标记chara属:分子证据比传统的形态学方法能识别更少的TAXA

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Charophytes (Charales) are benthic algae with a complex morphology. They are vulnerable to ecosystem changes, such as eutrophication, and are red-listed in many countries. Accurate identification of Chara species is critical for understanding their diversity and for documenting changes in species distribution. Species delineation is, however, complicated, because of high phenotypic plasticity. We used barcodes of the ITS2, matK and rbcL regions to test if the distribution of barcode haplotypes among individuals is consistent with species boundaries as they are currently understood. The study included freshly collected and herbarium material of 91 specimens from 10 European countries, Canada and Argentina. Results showed that herbarium specimens are useful as a source of material for genetic analyses for aquatic plants like Chara. rbcL and matK had highest sequence recoverability, but rbcL had a somewhat lower discriminatory power than ITS2 and matK. The tree resulting from the concatenated data matrix grouped the samples into six main groups contrary to a traditional morphological approach that consisted of 14 different taxa. A large unresolved group consisted of C. intermedia, C. hispida, C. horrida, C. baltica, C. polyacantha, C. rudis, C. aculeolata, and C. corfuensis. A second unresolved group consisted of C. virgata and C. strigosa. The taxa within each of the unresolved groups shared identical barcode sequences on the 977 positions of the concatenated data matrix. The morphological differences of taxa within both unresolved groups include the number and length of spine cells, stipulodes, and bract cells. We suggest that these morphological traits have less taxonomic relevance than hitherto assumed.
机译:风化藻(Charales)是底栖藻类,具有复杂的形态。它们很容易受到诸如富营养化之类的生态系统变化的影响,并在许多国家被列入红色名单。正确鉴定Chara物种对于理解其多样性和记录物种分布的变化至关重要。但是,由于高表型可塑性,物种划分很复杂。我们使用了ITS2,matK和rbcL区域的条形码来测试个体中条形码单倍型的分布是否与目前所了解的物种边界一致。该研究包括来自10个欧洲国家(加拿大和阿根廷)的91个标本的新鲜采集和标本室材料。结果表明,标本室标本可作为对Chara等水生植物进行遗传分析的材料来源。 rbcL和matK具有最高的序列可恢复性,但rbcL的鉴别能力比ITS2和matK略低。由级联数据矩阵生成的树将样本分为六个主要组,这与由14种不同的分类单元组成的传统形态学方法相反。一个大的未解决的群体包括中间隐孢子虫,C。hispida,C。horrida,C。baltica,C。polyacantha,C。rudis,C。aculeolata和C. corfuensis。第二个未解决的组由C. virgata和C. strigosa组成。每个未解决组中的分类单元在级联数据矩阵的977个位置上共享相同的条形码序列。两个未解决组中的分类单元的形态学差异包括脊柱细胞,硬和片细胞的数量和长度。我们建议这些形态特征比迄今假定的具有较少的分类学相关性。

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