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Application of recA and rpoB sequence analysis on phylogeny and molecular identification of Geobacillus species

机译:recA和rpoB序列分析在地理杆菌种系发生和分子鉴定中的应用

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Some Geobacillus species have highly similar 16S rRNA gene sequences, making 16S rDNA sequence analysis-based identification problematic. To overcome this limitation, recA and rpoB sequence analysis was evaluated as an alternative for distinguishing Geobacillus species. The phylogram of 16S rRNA gene sequences inferred from the neighbour-joining method showed that nine clusters of Geobacillus species were characterized with bootstrap values >90%. The recA and rpoB sequences of 10 reference strains in clusters V, VIb and VIc were amplified and sequenced using consensus primers. Alignment of recA sequences in clusters V, VIb and VIc revealed three types of recA genes, consistent with the putative amino acid sequences and in vivo recA splicing analysis. The phylogram constructed from rpoB sequences showed more divergence than that constructed from 16S rRNA gene sequences. recA and rpoB sequence analysis differentiated closely-related Geobacillus species and provided direct evidence for reclassifying some species dubiously categorized as Geobacilli. Additionally, this study revealed three types of recA genes in the different Geobacillus species. This study highlights the advantage of recA and rpoB sequence analysis to supplement 16S rRNA gene sequence analysis for efficient and convenient determination of Geobacillus species.
机译:一些地芽孢杆菌属物种具有高度相似的16S rRNA基因序列,这使得基于16S rDNA序列分析的鉴定成为难题。为了克服这一限制,对recA和rpoB序列分析进行了评估,以区分出地理杆菌属。通过邻居结合法推断的16S rRNA基因序列的系统进化谱显示,特征在于9个Geobacillus物种簇的自举值> 90%。使用共有引物扩增簇V,VIb和VIc中10个参考菌株的recA和rpoB序列。群集V,VIb和VIc中recA序列的比对揭示了三种类型的recA基因,与推定的氨基酸序列和体内recA剪接分析一致。从rpoB序列构建的系统进化图比从16S rRNA基因序列构建的系统进化图显示出更大的差异。 recA和rpoB序列分析区分了密切相关的Geobacillus物种,并提供了直接证据来重新分类某些可疑归为Geobacilli的物种。此外,这项研究揭示了不同地芽孢杆菌属物种中的三种recA基因。这项研究强调了recA和rpoB序列分析的优势,可以补充16S rRNA基因序列分析,从而可以有效,方便地确定Geobacillus菌种。

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