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基于基因组的伯克霍尔德氏菌复合群分类为其分类地位提供了新的见解。

Genome-based classification of Burkholderia cepacia complex provides new insight into its taxonomic status.

机构信息

Beijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.

State Key Laboratory of Pathogen and Biosecurity, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.

出版信息

Biol Direct. 2020 Mar 4;15(1):6. doi: 10.1186/s13062-020-0258-5.

Abstract

BACKGROUND

Accurate classification of different Burkholderia cepacia complex (BCC) species is essential for therapy, prognosis assessment and research. The taxonomic status of BCC remains problematic and an improved knowledge about the classification of BCC is in particular needed.

METHODS

We compared phylogenetic trees of BCC based on 16S rRNA, recA, hisA and MLSA (multilocus sequence analysis). Using the available whole genome sequences of BCC, we inferred a species tree based on estimated single-copy orthologous genes and demarcated species of BCC using dDDH/ANI clustering.

RESULTS

We showed that 16S rRNA, recA, hisA and MLSA have limited resolutions in the taxonomic study of closely related bacteria such as BCC. Our estimated species tree and dDDH/ANI clustering clearly separated 116 BCC strains into 36 clusters. With the appropriate reclassification of misidentified strains, these clusters corresponded to 22 known species as well as 14 putative novel species.

CONCLUSIONS

This is the first large-scale and systematic study of the taxonomic status of the BCC and could contribute to further insights into BCC taxonomy. Our study suggested that conjunctive use of core phylogeny based on single-copy orthologous genes, as well as pangenome-based dDDH/ANI clustering would provide a preferable framework for demarcating closely related species.

REVIEWER

This article was reviewed by Dr. Xianwen Ren.

摘要

背景

准确分类不同的洋葱伯克霍尔德氏菌复合群(BCC)物种对于治疗、预后评估和研究至关重要。BCC 的分类地位仍然存在问题,特别是需要更深入地了解 BCC 的分类。

方法

我们比较了基于 16S rRNA、recA、hisA 和 MLSA(多位点序列分析)的 BCC 系统发育树。利用现有的 BCC 全基因组序列,我们基于估计的单拷贝直系同源基因推断了物种树,并使用 dDDH/ANI 聚类来划分 BCC 的物种。

结果

我们表明,16S rRNA、recA、hisA 和 MLSA 在对 BCC 等密切相关的细菌的分类研究中分辨率有限。我们估计的物种树和 dDDH/ANI 聚类清楚地将 116 株 BCC 菌株分为 36 个群。通过对错误鉴定菌株的适当重新分类,这些群对应于 22 个已知物种和 14 个推定的新物种。

结论

这是对 BCC 分类地位的首次大规模和系统研究,有助于进一步了解 BCC 分类学。我们的研究表明,联合使用基于单拷贝直系同源基因的核心系统发育以及基于泛基因组的 dDDH/ANI 聚类将为划分密切相关的物种提供一个更好的框架。

审稿人

本文由任宪文博士审稿。

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