首页> 外文期刊>Mycology >A preliminary DNA barcode selection for the genus Russula (Russulales, Basidiomycota)
【24h】

A preliminary DNA barcode selection for the genus Russula (Russulales, Basidiomycota)

机译:Russula(Russulales,Basidiomycota)属的DNA条形码初步选择

获取原文
           

摘要

ABSTRACTRussula is a worldwid genus which has a high species diversity . Aiming accurate and rapid species identification, candidate genes nLSU (28S), ITS, tef-1α, mtSSU, rpb1 , and rpb2 , were analysed as potential DNA barcodes. This analysis included 433 sequences from 38 well-circumscribed Russula species of eight subgenera. Two vital standards were analysed for success species identification using DNA barcodes, specifically inter- and intra-specific variations together with the success rates of PCR amplification and sequencing. Although the gap between inter- and intra-specific variations was narrow, ITS met the qualification standards for a target DNA barcode. Overlapping inter- and intra-specific pairwise distances were observed in nLSU, tef-1α, mtSSU , and rpb2 . The success rates of PCR amplification and sequencing in mtSSU and rpb1 were lower than those of others. Gene combinations were also investigated for resolution of species recognition. ITS-rpb2 was suggested as the likely target DNA barcode for Russula , owing to the two viatal standards above. Since nLSU has the lowest minimum of inter-specific variation, and tef-1α has the highest overlap between intra- and inter-species variations among the candidate genes, they are disqualified from the selection for DNA barcode of Russula .
机译:摘要俄罗斯是一种世界植物,具有较高的物种多样性。为了准确,快速地进行物种识别,分析了候选基因 nLSU(28S), ITS,tef-1α,mtSSU,rpb1和 rpb2作为潜在的DNA条码。该分析包括来自八个亚属的38个界限分明的俄罗斯属物种的433个序列。使用DNA条形码分析了两种至关重要的标准,以成功鉴定物种,特别是种间和种内变异以及PCR扩增和测序的成功率。尽管种间变异和种内变异之间的差距很小,但ITS符合目标DNA条码的鉴定标准。在 nLSU,tef-1α,mtSSU和 rpb2中观察到种间和种内对的重叠距离。 mtSSU和rpb1中PCR扩增和测序的成功率低于其他人。还研究了基因组合以解决物种识别的问题。由于上述两个孔标准,建议将 ITS-rpb2作为俄罗斯的可能的目标DNA条码”。由于 nLSU的种间变异最小值最小,并且tef-1α在候选基因之间的种内变异和种间变异之间的重叠度最高,因此,它们不符合选择< i>俄罗斯。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号