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A three-marker DNA barcoding approach for ecological studies of xerothermic plants and herbivorous insects from central Europe

机译:一种三标记DNA条形码方法,用于中欧干热植物和草食性昆虫的生态学研究

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摘要

The DNA barcoding technique developed for species identification has recently been adapted for ecological studies (e.g. host plant identification). Comprehensive barcode databases, covering most species inhabiting areas, habitats or communities of interest are essential for reliable and efficient identification of plants. Here we present a three-barcode (plastid rbcL and matK genes and the trnL intron) database for xerothermic plant species from central Europe. About 85% of the xerothermic plant species (126 out of c. 150) known to be associated with xerothermic habitats were collected and barcoded. The database contains barcodes for 117 (rbcL and trnL) and 96 (matK) species. Interspecific nucleotide distances were in the ranges 0–17.9% (0–3.2% within genera) for rbcL, 0–44.4% (0–3.1%) for trnL and 0–52.5% (0–10.9%) for matK. Blast-searching of each sequence in the database against the entire database showed that species-level identification is possible for 89.6% (rbcL), 98.4% (trnL) and 96.4% (matK) of examined plant species. The utility of the presented database for identification of host plants was demonstrated using two insect species associated with xerothermic habitats: the oligophagous leaf-beetle Cheilotoma musciformis (for which two host plants in Fabaceae were identified) and the polyphagous weevil Polydrusus inustus (which was found to feed on 14 host plants, mostly Rosaceae, Asteraceae and Fabaceae). The developed database will be useful in various applications, including biodiversity, phylogeography, conservation and ecology
机译:为物种识别而开发的DNA条形码技术最近已被用于生态学研究(例如宿主植物识别)。全面的条形码数据库涵盖了大多数物种的栖息地,栖息地或感兴趣的社区,对于可靠而有效地识别植物至关重要。在这里,我们介绍了来自中欧的干热植物物种的三个条形码(质体rbcL和matK基因以及trnL内含子)数据库。收集到约85%的与干热生境有关的干热植物物种(约150种,其中的126种)并加上条形码。该数据库包含117(rbcL和trnL)和96(matK)种的条形码。种间核苷酸距离对于rbcL介于0–17.9%(属内0–3.2%),对于trnL介于0–44.4%(0–3.1%)和针对matK的0–52.5%(0–10.9%)。对整个数据库中的每个序列进行爆炸搜索,结果表明,受检植物物种中89.6%(rbcL),98.4%(trnL)和96.4%(matK)的物种水平识别是可能的。使用与干热生境有关的两种昆虫物种证明了所提供数据库用于鉴定寄主植物的效用:少食叶甲虫(Cheilotoma musciformis)(已鉴定出法贝科的两种寄主植物)和多食象鼻虫Polydrusus inustus(已发现)以14种寄主植物为食,主要是蔷薇科,菊科和豆科。开发的数据库将在各种应用中有用,包括生物多样性,系统地理学,保护和生态

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