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中国生物工程杂志

China Biotechnology
China Biotechnology  2020, Vol. 40 Issue (3): 38-47    DOI: 10.13523/j.cb.1907053
Orginal Article     
The Study of Worldwide Brucella canis of Phylogenetic Groups by Comparative Genomics-based Approaches
JIANG Ji-zhe1,**,PAN Hang2,**,YUE Min2,***(),ZHANG Le1,***()
1 School of Computer Science (Software), Sichuan University, Chengdu 610065, China
2 Institute of Animal Preventive Medicine, College of Animal Science, Zhejiang University, Hangzhou 310058, China
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Abstract  

Canine brucellosis is a zoonotic disease that causes livestock abortion and human Malta fever worldwide. Recently, with the increase in the number of related host animals such as dogs, infection reports of family children are not uncommon, so study Brucella canis has important public health implications. Using 91 strains around the world, Bayesian method was used to cluster the strains, and based on the core-SNPs and molecular clock model, the evolutionary tree was constructed for population structure and spatiotemporal distribution analysis, and COG function clustering was used to study the functional differences. The four phylogenetic groups (PG) found were significantly associated with their geographic origin. Among PG1-3, there was transmission from Asia to Africa, Europe and America. PG4 was colonized in North America, and its drug resistance genes were gradually missing. Functional gene has different presence/absence profiles in 4 PGs, PG3 is the most complete, and other PGs have unique functional gene absence, especially PG2 mostly lacks ABC-type transport system components. Understanding the global distribution and spread of Brucella canis and its genomic variation will help develop new diagnostic and vaccine targets to combat the epidemic caused by Brucella canis.



Key wordsBrucella canis      SNP      Comparative genomics      PG      Branch length optimization algorithm     
Received: 30 July 2019      Published: 18 April 2020
ZTFLH:  TP3-05  
Corresponding Authors: Min YUE,Le ZHANG     E-mail: myue@zju.edu.cn;zhangle06@scu.edu.cn
Cite this article:

JIANG Ji-zhe, PAN Hang, YUE Min, ZHANG Le. The Study of Worldwide Brucella canis of Phylogenetic Groups by Comparative Genomics-based Approaches. China Biotechnology, 2020, 40(3): 38-47.

URL:

https://manu60.magtech.com.cn/biotech/10.13523/j.cb.1907053     OR     https://manu60.magtech.com.cn/biotech/Y2020/V40/I3/38

Fig.1 The construction process of phylogenetic three based on core-SNPs
Fig.2 Branch topological relation W, X, Y and Z are four subtrees, and lw, lx, ly and lz are the lengths of the four branches connected to the roots of W, X, Y and Z, respectively. U and V are the subtrees on the left and right, respectively, of the internal branch, and la is the internal branch length that maximize the likelihood of the corresponding phylogeny
Fig.3 The phylogenetic tree based on core-SNPs
位置 欧洲 东亚 拉美 非洲 北美 总计
(n)
PG1 1 9 1 11
PG2 3 5 1 1 10
PG3 25 2 27
PG4 43 43
Table 1 The amount of strains in different places of PG
Fig.4 Spatial and temporal distribution of maximum likelihood phylogenetic tree
Fig.5 The function loss in four PGs (a)The loss in PG1 (b) The loss in PG2 (c) The loss in PG3 (d) The loss in PG4
[1]   Hollett R B . Canine brucellosis: Outbreaks and compliance. Theriogenology, 2006,66(3):575-587.
[2]   Lucero N E, Jacob N O, Ayala S M , et al. Unusual clinical presentation of brucellosis caused by Brucella canis. Journal of Medical Microbiology, 2005,54(5):505-508.
[3]   Carmichael L E . Abortions in 200 beagles. J Am Vet Med Assoc, 1966,149:1126.
[4]   Wanke M M . Canine brucellosis.Animal Reproduction Science, 2004, 82-83:195-207.
[5]   Young E J . Human Brucellosis. Clinical Infectious Diseases, 1983,5(5):821-842.
[6]   Lucero N E, Escobar G I, Ayala S M , et al. Diagnosis of human brucellosis caused by Brucella canis. Journal of Medical Microbiology, 2005,54(5):457-461.
[7]   齐海霞, 张海云, 张宛婧 , 等. 宠物犬布鲁氏菌病的现状与防控. 中国畜牧兽医文摘, 2013,29(8):110-111.
[7]   Qi H X, Zhang H Y, Zhang W J , et al. Status and prevention of brucellosis in pet dogs. Chinese Abstract of Veterinary Science, 2013,29(8):110-111.
[8]   曹雪峰, 田一男, 于爽 , 等. 犬布鲁菌病的流行病学,诊断与防控研究进展. 中国兽医学报, 2015,35(8):1392-1396.
[8]   Cao X F, Tian Y N, Yu S , et al. Advances in epidemiology, diagnosis and prevention of canine brucellosis. Chinese Journal of Veterinary Science, 2015,35(8):1392-1396.
[9]   李娟 . 犬布鲁氏杆菌病的防治. 湖北畜牧兽医, 2017,38(9):14-15.
[9]   Li J . Prevention and treatment of canine brucellosis. Hubei Journal of Animal and Veterinary Sciences, 2017,38(9):14-15.
[10]   Ferreira Vicente A, Girault G, Corde Y , et al. New insights into phylogeography of worldwide Brucella canis isolates by comparative genomics-based approaches: focus on Brazil. BMC Genomics, 2018,19(1):636.
[11]   Whatmore A M, Koylass M S, Muchowski J , et al. Extended multilocus sequence analysis to describe the global population structure of the genus Brucella: phylogeography and relationship to biovars. Frontiers in Microbiology, 2016,7:2049.
[12]   Scholz H, Vergnaud G . Molecular characterisation of Brucella species. Rev Sci Tech, 2013,32(1):149-162.
[13]   Sankarasubramanian J, Vishnu U S, Gunasekaran P , et al. A genome-wide SNP-based phylogenetic analysis distinguishes different biovars of Brucella suis. Infection, Genetics and Evolution, 2016,41:213-217.
[14]   Tan K K, Tan Y C, Chang L Y , et al. Full genome SNP-based phylogenetic analysis reveals the origin and global spread of Brucella melitensis. BMC Genomics, 2015,16(1):93.
[15]   Foster J T , Beckstrom-Sternberg S M, Pearson T, et al.Whole-genome-based phylogeny and divergence of the genus Brucella. Journal of Bacteriology, 2009,191(8):2864-2870.
[16]   Foster J T, Price L B ,Beckstrom-Sternberg S M, et al. Genotyping of Brucella species using clade specific SNPs. BMC Microbiology, 2012,12(1):110.
[17]   Nagasaki H, Ebana K, Shibaya T , et al. Core single-nucleotide polymorphisms-a tool for genetic analysis of the Japanese rice population. Breeding science, 2010,60(5):648-655.
[18]   Arndt D, Grant J R, Marcu A , et al. PHASTER: a better, faster version of the PHAST phage search tool. Nucleic Acids Research, 2016,44(W1):W16-W21.
[19]   Zhou Y, Liang Y, Lynch K H , et al. PHAST: a fast phage search tool. Nucleic Acids Research, 2011,39(suppl_2):W347-W352.
[20]   Corander J, Marttinen P . Bayesian identification of admixture events using multilocus molecular markers. Molecular ecology, 2006,15(10):2833-2843.
[21]   Corander J, Marttinen P, Sirén J , et al. Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations. BMC bioinformatics, 2008,9(1):539.
[22]   Tang J, Hanage W P, Fraser C , et al. Identifying currents in the gene pool for bacterial populations using an integrative approach. PLoS Computational Biology, 2009,5(8):e1000455.
[23]   Erik G ,Gabor M. Haplotype-based variant detection from short-read sequencing. [2012-07-24]. .
[24]   Kalyaanamoorthy S, Minh B Q, Wong T K , et al. ModelFinder: fast model selection for accurate phylogenetic estimates. Nature Methods, 2017,14(6):587.
[25]   Nguyen L T ,Schmidt H A, von Haeseler A, et al. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Molecular Biology and Evolution, 2014,32(1):268-274.
[26]   Guindon S, Gascuel O . A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic Biology, 2003,52(5):696-704.
[27]   Tatusov R L, Fedorova N D, Jackson J D , et al. The COG database: an updated version includes eukaryotes. BMC Bioinformatics, 2003,4(1):41.
[28]   Altschul S F, Gish W, Miller W , et al. Basic local alignment search tool. Journal of Molecular Biology, 1990,215(3):403-410.
[29]   Camacho C, Coulouris G, Avagyan V , et al. BLAST+: architecture and applications. BMC Bioinformatics, 2009,10(1):421.
[30]   Sankarasubramanian J, Vishnu U S, Gunasekaran P , et al. Identification of genetic variants of Brucella spp. through genome-wide association studies. Infection, Genetics and Evolution, 2017,56:92-98.
[31]   Connor T R, Barker C R, Baker K S , et al. Species-wide whole genome sequencing reveals historical global spread and recent local persistence in Shigella flexneri. Elife, 2015,4:e07335.
[32]   Zhang L, Liu G, Kong M , et al. Revealing dynamic regulations and the related key proteins of myeloma-initiating cells by integrating experimental data into a systems biological model. [2019-07-26]..
[33]   章乐, 李鹏超, 赵竟天 , 等. 基因组三维结构研究进展.[2020-02-06]. .
[33]   Zhang L, Li P C, Zhao J T , et al. Research progress on the three-dimensional structure of genome.[ 2020-02-06]. .
[34]   Zhang L, Li J, Yin K , et al. Computed tomography angiography-based analysis of high-risk intracerebral haemorrhage patients by employing a mathematical model. BMC Bioinformatics, 2019,20(Suppl 7):193.
[35]   Zhang L, Dai Z, Yu J , et al. CpG-island-based annotation and analysis of human house-keeping genes. [2020-01-25]..
[36]   Zhang L, Bai W, Yuan N , et al. Comprehensively benchmarking applications for detecting copy number variation. PLoS Comput Biol, 2019,15(5):e1007069.
[37]   Xiao M, Yang X, Yu J , et al. CGIDLA: developing the web server for CpG island related density and LAUPs (lineage-associated underrepresented permutations) Study. [2019-08-20]..
[38]   Li J, Fu A, Zhang L . An overview of scoring functions used for protein-ligand interactions in molecular docking. Interdiscip Sci, 2019,11(2):320-328.
[39]   Zhang L, Xiao M, Zhou J , et al. Lineage-associated underrepresented permutations (LAUPs) of mammalian genomic sequences based on a Jellyfish-based LAUPs analysis application (JBLA). Bioinformatics, 2018,34(21):3624-3630.
[40]   Zhang L, Zheng C Q, Li T , et al. Building up a robust risk mathematical platform to predict colorectal cancer. [2017-10-16].
[41]   Zhang L, Zhang S . Using game theory to investigate the epigenetic control mechanisms of embryo development: comment on: "Epigenetic game theory: How to compute the epigenetic control of maternal-to-zygotic transition" by Qian Wang et al. Phys Life Rev, 2017,20:140-142.
[42]   Zhang L, Liu Y, Wang M , et al. EZH2-, CHD4-, and IDH-linked epigenetic perturbation and its association with survival in glioma patients. J Mol Cell Biol, 2017,9(6):477-488.
[43]   Xia Y, Yang C, Hu N , et al. Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model. BMC Genomics, 2017,18(Suppl 1):950.
[44]   Zhang L, Qiao M, Gao H , et al. Investigation of mechanism of bone regeneration in a porous biodegradable calcium phosphate (CaP) scaffold by a combination of a multi-scale agent-based model and experimental optimization/validation. Nanoscale, 2016,8(31):14877-14887.
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