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首页> 外文期刊>Journal of Applied Phycology >Hypervariable regions (V1-V9) of the dinoflagellate 18S rRNA using a large dataset for marker considerations
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Hypervariable regions (V1-V9) of the dinoflagellate 18S rRNA using a large dataset for marker considerations

机译:鞭毛藻18S rRNA的高变区(V1-V9),使用大型数据集进行标记考量

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DNA sequencing methods have been used for the molecular taxonomic discrimination of dinoflagellate protists, particularly using partial 18S rRNA sequences. This study evaluated the taxonomic discrimination power of rRNA gene hypervariable regions (V1 to V9) in dinoflagellates from a large dataset. These included 77 dinoflagellate species (9 orders, 17 families, 40 genera). The complete 18S rRNA sequences of the dinoflagellates ranged from 1,787 to 1,813 bp in length, and consisted of eight V regions with a total combined length of 678 to 699 bp. Regions longer than 100 bp were recoded for V2, V4, and V8 regions; high nucleotide divergences were detected in V1, V2, and V4 regions. Statistic tests showed that the divergences of individual V regions were significantly different (t-test, P<0.05) compared with the complete 18S rRNA. The V2 region showed the highest score (83.5%) for PI sites. Moreover, intra-genus DNA similarities of the V2 were considerably low (<93%). Neighbor-joining analyses showed that phylogenetic resolution in the V2–V4 region was 1.32-fold higher than that of the complete 18S rRNA. These results demonstrate that V2 has the highest taxonomic resolving power within the 18S rRNA gene of dinoflagellates, suggesting the V2 and adjacent regions (e.g., V1 to V4) may be the best for marker considerations
机译:DNA测序方法已用于区分鞭毛藻原生物的分子分类学,特别是使用部分18S rRNA序列。这项研究评估了来自大型数据集的鞭毛中rRNA基因高变区(V1至V9)的分类学辨别力。其中包括77个鞭毛藻(9个纲目,17科,40属)。鞭毛鞭毛虫的完整18S rRNA序列长度在1,787至1,813 bp之间,由八个V区组成,总合长度为678至699 bp。超过100 bp的区域被重新编码为V2,V4和V8区域;在V1,V2和V4区域检测到高核苷酸差异。统计测试表明,与完整的18S rRNA相比,单个V区的差异显着不同(t检验,P <0.05)。对于PI站点,V2区域显示最高分数(83.5%)。此外,V2的属内DNA相似性非常低(<93%)。邻居连接分析显示,V2-V4区的系统发育分辨率比完整的18S rRNA高1.32倍。这些结果表明,在鞭毛鞭毛藻的18S rRNA基因中,V2具有最高的分类学分辨能力,表明V2和邻近区域(例如,V1至V4)可能是标记研究中的最佳选择

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