An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome

被引:24
|
作者
Gomez-Gonzalez, Paula J. [1 ]
Andreu, Nuria [1 ]
Phelan, Jody E. [1 ]
de Sessions, Paola Florez [2 ]
Glynn, Judith R. [3 ]
Crampin, Amelia C. [3 ,4 ]
Campino, Susana [1 ]
Butcher, Philip D. [5 ]
Hibberd, Martin L. [1 ,2 ]
Clark, Taane G. [1 ,3 ]
机构
[1] London Sch Hyg & Trop Med, Fac Infect & Trop Dis, London, England
[2] Biopolis, Genome Inst Singapore, Singapore, Singapore
[3] London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, London, England
[4] Malawi Epidemiol & Intervent Res Unit, Lilongwe, Malawi
[5] St Georges Univ London, Inst Infect & Immun, London, England
基金
英国医学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
GENE-EXPRESSION; DIVERSITY; COMPLEX; LINEAGE; PROTEIN;
D O I
10.1038/s41598-019-41692-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Human tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a complex disease, with a spectrum of outcomes. Genomic, transcriptomic and methylation studies have revealed differences between Mtb lineages, likely to impact on transmission, virulence and drug resistance. However, so far no studies have integrated sequence-based genomic, transcriptomic and methylation characterisation across a common set of samples, which is critical to understand how DNA sequence and methylation affect RNA expression and, ultimately, Mtb pathogenesis. Here we perform such an integrated analysis across 22 M. tuberculosis clinical isolates, representing ancient (lineage 1) and modern (lineages 2 and 4) strains. The results confirm the presence of lineage-specific differential gene expression, linked to specific SNP-based expression quantitative trait loci: with 10 eQTLs involving SNPs in promoter regions or transcriptional start sites; and 12 involving potential functional impairment of transcriptional regulators. Methylation status was also found to have a role in transcription, with evidence of differential expression in 50 genes across lineage 4 samples. Lack of methylation was associated with three novel variants in mamA, likely to cause loss of function of this enzyme. Overall, our work shows the relationship of DNA sequence and methylation to RNA expression, and differences between ancient and modern lineages. Further studies are needed to verify the functional consequences of the identified mechanisms of gene expression regulation.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea
    Isobel AP Parkin
    Chushin Koh
    Haibao Tang
    Stephen J Robinson
    Sateesh Kagale
    Wayne E Clarke
    Chris D Town
    John Nixon
    Vivek Krishnakumar
    Shelby L Bidwell
    France Denoeud
    Harry Belcram
    Matthew G Links
    Jérémy Just
    Carling Clarke
    Tricia Bender
    Terry Huebert
    Annaliese S Mason
    J Chris Pires
    Guy Barker
    Jonathan Moore
    Peter G Walley
    Sahana Manoli
    Jacqueline Batley
    David Edwards
    Matthew N Nelson
    Xiyin Wang
    Andrew H Paterson
    Graham King
    Ian Bancroft
    Boulos Chalhoub
    Andrew G Sharpe
    Genome Biology, 15
  • [22] Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea
    Parkin, Isobel A. P.
    Koh, Chushin
    Tang, Haibao
    Robinson, Stephen J.
    Kagale, Sateesh
    Clarke, Wayne E.
    Town, Chris D.
    Nixon, John
    Krishnakumar, Vivek
    Bidwell, Shelby L.
    Denoeud, France
    Belcram, Harry
    Links, Matthew G.
    Just, Jeremy
    Clarke, Carling
    Bender, Tricia
    Huebert, Terry
    Mason, Annaliese S.
    Pires, J. Chris
    Barker, Guy
    Moore, Jonathan
    Walley, Peter G.
    Manoli, Sahana
    Batley, Jacqueline
    Edwards, David
    Nelson, Matthew N.
    Wang, Xiyin
    Paterson, Andrew H.
    King, Graham
    Bancroft, Ian
    Chalhoub, Boulos
    Sharpe, Andrew G.
    GENOME BIOLOGY, 2014, 15 (06):
  • [23] Whole-genome methylome analysis reveals age-related diabetes risk factors
    Hai, Luo
    Liu, Zongzhi
    Chen, Wei
    Qiao, Jie
    Sun, Yingli
    CLINICAL AND TRANSLATIONAL MEDICINE, 2020, 10 (03):
  • [24] Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada
    Tyler, Andrea D.
    Randell, Elaine
    Baikie, Maureen
    Antonation, Kym
    Janella, Debra
    Christianson, Sara
    Tyrrell, Gregory J.
    Graham, Morag
    Van Domselaar, Gary
    Sharma, Meenu K.
    PLOS ONE, 2017, 12 (10):
  • [25] Whole genome analysis of extensively drug resistant Mycobacterium tuberculosis strains in Peru
    David Santos-Lazaro
    Ronnie G. Gavilan
    Lely Solari
    Aiko N. Vigo
    Zully M. Puyen
    Scientific Reports, 11
  • [26] Whole genome analysis of extensively drug resistant Mycobacterium tuberculosis strains in Peru
    Santos-Lazaro, David
    Gavilan, Ronnie G.
    Solari, Lely
    Vigo, Aiko N.
    Puyen, Zully M.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [27] Integrated analysis of the genome and the transcriptome by FANTOM
    Katayama, S
    Kanamori, M
    Hayashizaki, Y
    BRIEFINGS IN BIOINFORMATICS, 2004, 5 (03) : 249 - 258
  • [28] Integrated analysis of whole genome and transcriptome sequencing in a young patient with gastric cancer provides insights for precision therapy
    Hu, Kongwang
    Yu, Weiqiang
    Ajayi, Olugbenga Emmanuel
    Li, Longlong
    Huang, Zhiguo
    Rong, Qiqi
    Wang, Shuaili
    Wu, Qing-Fa
    ONCOLOGY LETTERS, 2020, 20 (04)
  • [29] Whole- genome sequencing and transcriptome- characterized in vitro evolution of aminoglycoside resistance in Mycobacterium tuberculosis
    Wei, Wenjing
    Zhao, Yuchuan
    Zhang, Chenchen
    Yu, Meiling
    Wu, Zhuhua
    Xu, Liuyue
    Peng, Kehao
    Wu, Zhilong
    Li, Yanxia
    Wang, Xuezhi
    MICROBIAL GENOMICS, 2023, 9 (05):
  • [30] Comparative Analysis of Whole-Genome and Methylome Profiles of a Smooth and a Rough Mycobacterium abscessus Clinical Strain
    Chhotaray, Chiranjibi
    Wang, Shuai
    Tan, Yaoju
    Ali, Amjad
    Shehroz, Muhammad
    Fang, Cuiting
    Liu, Yang
    Lu, Zhili
    Cai, Xingshan
    Hameed, H. M. Adnan
    Islam, Md Mahmudul
    Surineni, Goverdhan
    Tan, Shouyong
    Liu, Jianxiong
    Zhang, Tianyu
    G3-GENES GENOMES GENETICS, 2020, 10 (01): : 13 - 22