Large-scale comparative genomics meta-analysis of Campylobacter jejuni isolates reveals low level of genome plasticity

被引:79
|
作者
Taboada, EN
Acedillo, RR
Carrillo, CD
Findlay, WA
Medeiros, DT
Mkytczuk, OL
Roberts, MJ
Valencia, CA
Farber, JM
Nash, JHE [1 ]
机构
[1] Natl Res Council Canada, Inst Biol Sci, Pathogen Genom Grp, Ottawa, ON K1A 0R6, Canada
[2] Carleton Univ, Bur Microbial Hazards, Hlth Canada, Ottawa, ON K1S 5B6, Canada
[3] Carleton Univ, Ottawa Carleton Inst Biol, Ottawa, ON K1S 5B6, Canada
关键词
D O I
10.1128/JCM.42.10.4566-4576.2004
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
We have used comparative genomic hybridization (CGH) on a full-genome Campylobacter jejuni microarray to examine genome-wide gene conservation patterns among 51 strains isolated from food and clinical sources. These data have been integrated with data from three previous C. jejuni CGH studies to perform a meta-analysis that included 97 strains from the four separate data sets. Although many genes were found to be divergent across multiple strains (n = 350), many genes (n = 249) were uniquely variable in single strains. Thus, the strains in each data set comprise strains with a unique genetic diversity not found in the strains in the other data sets. Despite the large increase in the collective number of variable C. jejuni genes (n = 599) found in the meta-analysis data set, nearly half of these (n = 276) mapped to previously defined variable loci, and it therefore appears that large regions of the C. jejuni genome are genetically stable. A detailed analysis of the microarray data revealed that divergent genes could be differentiated on the basis of the amplitudes of their differential microarray signals. Of 599 variable genes, 122 could be classified as highly divergent on the basis of CGH data. Nearly all highly divergent genes (117 of 122) had divergent neighbors and showed high levels of intraspecies variability. The approach outlined here has enabled us to distinguish global trends of gene conservation in C. jejuni and has enabled us to define this group of genes as a robust set of variable markers that can become the cornerstone of a new generation of genotyping methods that use genome-wide C. jejuni gene variability data.
引用
收藏
页码:4566 / 4576
页数:11
相关论文
共 50 条
  • [1] Comparative genomics of Campylobacter concisus: Analysis of clinical strains reveals genome diversity and pathogenic potential
    Gemmell, Matthew R.
    Berry, Susan
    Mukhopadhya, Indrani
    Hansen, Richard
    Nielsen, Hans L.
    Bajaj-Elliott, Mona
    Nielsen, Henrik
    Hold, Georgina L.
    EMERGING MICROBES & INFECTIONS, 2018, 7
  • [2] A De-Novo Genome Analysis Pipeline (DeNoGAP) for large-scale comparative prokaryotic genomics studies
    Shalabh Thakur
    David S. Guttman
    BMC Bioinformatics, 17
  • [3] Large-scale genome analysis reveals unique features of microRNAs
    Zhang, Baohong
    Stellwag, Edmund J.
    Pan, Xiaoping
    GENE, 2009, 443 (1-2) : 100 - 109
  • [4] A De-Novo Genome Analysis Pipeline (DeNoGAP) for large-scale comparative prokaryotic genomics studies
    Thakur, Shalabh
    Guttman, David S.
    BMC BIOINFORMATICS, 2016, 17
  • [5] Whole genome comparison of Campylobacter jejuni human isolates using a low-cost microarray reveals extensive genetic diversity
    Dorrell, N
    Mangan, JA
    Laing, KG
    Hinds, J
    Linton, D
    Al-Ghusein, H
    Barrell, BG
    Parkhill, J
    Stoker, NG
    Karlyshev, AV
    Butcher, PD
    Wren, BW
    GENOME RESEARCH, 2001, 11 (10) : 1706 - 1715
  • [6] Large-Scale Meta-Analysis of Human Medial Frontal Cortex Reveals Tripartite Functional Organization
    de la Vega, Alejandro
    Chang, Luke J.
    Banich, Marie T.
    Wager, Tor D.
    Yarkoni, Tal
    JOURNAL OF NEUROSCIENCE, 2016, 36 (24): : 6553 - 6562
  • [7] Large-Scale Meta-Analysis of Human Medial Frontal Cortex Reveals Tripartite Functional Organization
    de la Vega, Alejandro
    Chang, Luke J.
    Banich, Marie T.
    Wager, Tor D.
    Yarkoni, Tal
    JOURNAL OF NEUROSCIENCE, 2017, 37 (13): : 3735 - 3735
  • [8] Large-scale cross-ancestry genome-wide meta-analysis of serum urate
    Cho, Chamlee
    Kim, Beomsu
    Kim, Dan Say
    Hwang, Mi Yeong
    Shim, Injeong
    Song, Minku
    Lee, Yeong Chan
    Jung, Sang-Hyuk
    Cho, Sung Kweon
    Park, Woong-Yang
    Myung, Woojae
    Kim, Bong-Jo
    Do, Ron
    Choi, Hyon K.
    Merriman, Tony R.
    Kim, Young Jin
    Won, Hong-Hee
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [9] A large-scale genome-wide association study meta-analysis of cannabis use disorder
    Johnson, Emma C.
    Demontis, Ditte
    Thorgeirsson, Thorgeir E.
    Walters, Raymond K.
    Polimanti, Renato
    Hatoum, Alexander S.
    Sanchez-Roige, Sandra
    Paul, Sarah E.
    Wendt, Frank R.
    Clarke, Toni-Kim
    Lai, Dongbing
    Reginsson, Gunnar W.
    Zhou, Hang
    He, June
    Baranger, David A. A.
    Gudbjartsson, Daniel F.
    Wedow, Robbee
    Adkins, Daniel E.
    Adkins, Amy E.
    Alexander, Jeffry
    Bacanu, Silviu-Alin
    Bigdeli, Tim B.
    Boden, Joseph
    Brown, Sandra A.
    Bucholz, Kathleen K.
    Bybjerg-Grauholm, Jonas
    Corley, Robin P.
    Degenhardt, Louisa
    Dick, Danielle M.
    Domingue, Benjamin W.
    Fox, Louis
    Goate, Alison M.
    Gordon, Scott D.
    Hack, Laura M.
    Hancock, Dana B.
    Hartz, Sarah M.
    Hickie, Ian B.
    Hougaard, David M.
    Krauter, Kenneth
    Lind, Penelope A.
    McClintick, Jeanette N.
    McQueen, Matthew B.
    Meyers, Jacquelyn L.
    Montgomery, Grant W.
    Mors, Ole
    Mortensen, Preben B.
    Nordentoft, Merete
    Pearson, John F.
    Peterson, Roseann E.
    Reynolds, Maureen D.
    LANCET PSYCHIATRY, 2020, 7 (12): : 1032 - 1045
  • [10] Large-scale Meta-analysis Suggests Low Regional Modularity in Lateral Frontal Cortex
    de la Vega, Alejandro
    Yarkoni, Tal
    Wager, Tor D.
    Banich, Marie T.
    CEREBRAL CORTEX, 2018, 28 (10) : 3414 - 3428