Evidence map›Paper›PMID 31752672›Full record

ArticleBMC genomics2019

Modification of the genome topology network and its application to the comparison of group B Streptococcus genomes.

Xiao Deng, Xuechao Zhao, Yuan Liang, Liang Zhang, Jianping Jiang, Guoping Zhao, Yan Zhou

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiao DengInstitutes of Biology and Medical Sciences, Medical College of Soochow University, Suzhou, 215123, China.
Xuechao ZhaoInstitutes of Biology and Medical Sciences, Medical College of Soochow University, Suzhou, 215123, China.
Yuan LiangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200433, China.
Liang ZhangShanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, 201203, China.
Jianping JiangSJTU-Yale Joint Center for Biostatistics, Shanghai Jiaotong University, Shanghai, 200240, China.
Guoping ZhaoState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200433, China.
Yan ZhouState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200433, China. zhouy@fudan.edu.cn.

Funding

National Key Research Program of China 2017YFC0907503Science and Technology Commission of Shanghai Municipality 16ZR1423900Science and Technology Commission of Shanghai Municipality 17DZ2270800
6 · The paper itself

Abstract

backgroundThe genome topology network (GTN) is a new approach for studying the phylogenetics of bacterial genomes by analysing their gene order. The previous GTN tool gives a phylogenetic tree and calculate the different degrees (DD) of various adjacent gene families with complete genome data, but it is limited to the gene family level.

resultIn this study, we collected 51 published complete and draft group B Streptococcus (GBS) genomes from the NCBI database as the case study data. The phylogenetic tree obtained from the GTN method assigned the genomes into six main clades. Compared with single nucleotide polymorphism (SNP)-based method, the GTN method exhibited a higher resolution in two clades. The gene families located at unique node connections in these clades were associated with the clusters of orthologous groups (COG) functional categories of "[G] Carbohydrate transport and metabolism,", "[L] Replication, recombination, and repair" and "[J] translation, ribosomal structure and biogenesis". Thus, these genes were the major factors affecting the differentiation of these six clades in the phylogenetic tree obtained from the GTN.

conclusionThe modified GTN analyzes draft genomic data and exhibits greater functionality than the previous version. The gene family clustering algorithm embedded in the GTN tool is optimized by introducing the Markov cluster algorithm (MCL) tool to assign genes to functional gene families. A bootstrap test is performed to verify the credibility of the clades when allowing users to adjust the relationships of the clades accordingly. The GTN tool gives additional evolutionary information that is a useful complement to the SNP-based method. Information on the differences in the connections between a gene and its adjacent genes in species or clades is easily obtained. The modified GTN tool can be downloaded from https://github.com/0232/Genome_topology_network.

Indexed as

Genome, BacterialGene OrderPhylogenyPolymorphism, Single NucleotideStreptococcus agalactiaeClusters of orthologous groups (COG)GenomesGenome topology networkGroup B StreptococcusPhylogenetics

Identifiers

PMID31752672
PMCPMC6868693

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.