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通过二分网络分析探索根瘤菌质粒的进化动态。

Exploring the evolutionary dynamics of Rhizobium plasmids through bipartite network analysis.

机构信息

State Key Laboratory of Crop Stress Biology in Arid Areas, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.

Bioinformatics Center, Northwest A&F University, Yangling, Shaanxi, 712100, China.

出版信息

Environ Microbiol. 2020 Mar;22(3):934-951. doi: 10.1111/1462-2920.14762. Epub 2019 Aug 16.


DOI:10.1111/1462-2920.14762
PMID:31361937
Abstract

The genus Rhizobium usually has a multipartite genome architecture with a chromosome and several plasmids, making these bacteria a perfect candidate for plasmid biology studies. As there are no universally shared genes among typical plasmids, network analyses can complement traditional phylogenetics in a broad-scale study of plasmid evolution. Here, we present an exhaustive analysis of 216 plasmids from 49 complete genomes of Rhizobium by constructing a bipartite network that consists of two classes of nodes, the plasmids and homologous protein families that connect them. Dissection of the network using a hierarchical clustering strategy reveals extensive variety, with 34 homologous plasmid clusters. Four large clusters including one cluster of symbiotic plasmids and two clusters of chromids carrying some truly essential genes are widely distributed among Rhizobium. In contrast, the other clusters are quite small and rare. Symbiotic clusters and rare accessory clusters are exogenetic and do not appear to have co-evolved with the common accessory clusters; the latter ones have a large coding potential and functional complementarity for different lifestyles in Rhizobium. The bipartite network also provides preliminary evidence of Rhizobium plasmid variation and formation including genetic exchange, plasmid fusion and fission, exogenetic plasmid transfer, host plant selection, and environmental adaptation.

摘要

根瘤菌属通常具有多分区基因组结构,包括一个染色体和几个质粒,这使得这些细菌成为质粒生物学研究的理想候选者。由于典型质粒之间没有普遍共享的基因,因此网络分析可以在质粒进化的广泛研究中补充传统系统发育学。在这里,我们通过构建一个由两个节点类别的二分网络,对来自 49 个根瘤菌完整基因组的 216 个质粒进行了详尽的分析,这两个节点类别的节点分别是质粒和连接它们的同源蛋白家族。使用层次聚类策略对网络进行剖析揭示了广泛的多样性,其中有 34 个同源质粒簇。四个大的簇包括一个共生质粒簇和两个带有一些真正必需基因的染色体质粒簇在根瘤菌中广泛分布。相比之下,其他簇则非常小且罕见。共生簇和罕见的辅助簇是外生的,似乎没有与常见的辅助簇共同进化;后者具有很大的编码潜力和功能互补性,可以适应根瘤菌的不同生活方式。二分网络还提供了根瘤菌质粒变异和形成的初步证据,包括遗传交换、质粒融合和裂变、外生质粒转移、宿主植物选择和环境适应。

相似文献

[1]
Exploring the evolutionary dynamics of Rhizobium plasmids through bipartite network analysis.

Environ Microbiol. 2019-8-16

[2]
Comparative analysis of rhizobial chromosomes and plasmids to estimate their evolutionary relationships.

Plasmid. 2018

[3]
Comparative symbiotic plasmid analysis indicates that symbiosis gene ancestor type affects plasmid genetic evolution.

Lett Appl Microbiol. 2018-7

[4]
The mosaic structure of the symbiotic plasmid of Rhizobium etli CFN42 and its relation to other symbiotic genome compartments.

Genome Biol. 2003

[5]
Formation of Rhizobium phaseoli symbiotic plasmids by genetic recombination.

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[6]
In Rhizobium etli symbiotic plasmid transfer, nodulation competitivity and cellular growth require interaction among different replicons.

Plasmid. 2000-7

[7]
Population genomics of the symbiotic plasmids of sympatric nitrogen-fixing Rhizobium species associated with Phaseolus vulgaris.

Environ Microbiol. 2016-9

[8]
Genome of Rhizobium leucaenae strains CFN 299(T) and CPAO 29.8: searching for genes related to a successful symbiotic performance under stressful conditions.

BMC Genomics. 2016-8-2

[9]
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BMC Genomics. 2020-2-27

[10]
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Front Microbiol. 2019-4-30

引用本文的文献

[1]
Snowflake: visualizing microbiome abundance tables as multivariate bipartite graphs.

Front Bioinform. 2024-2-5

[2]
Dissecting the HGT network of carbon metabolic genes in soil-borne microbiota.

Front Microbiol. 2023-7-7

[3]
Why are rhizobial symbiosis genes mobile?

Philos Trans R Soc Lond B Biol Sci. 2022-1-17

[4]
Comparative analysis of integrative and conjugative mobile genetic elements in the genus .

Microb Genom. 2021-10

[5]
Genetic Variation in Host-Specific Competitiveness of the Symbiont Symbiovar .

Front Plant Sci. 2021-9-8

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