Displaying publications 21 - 40 of 900 in total

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  1. Tan MH, Gan HM, Lee YP, Austin CM
    PMID: 25103440 DOI: 10.3109/19401736.2014.945554
    The mitochondrial genome sequence of the Morton Bay bug, Thenus orientalis, is documented, which makes it the second mitogenome for species of the family Scyllaridae and the ninth for members of the superfamily Palinuroidae. Thenus orientalis has a mitogenome of 16,826 base pairs consisting of 13 protein-coding genes, 2 ribosomal subunit genes, 23 transfer RNAs, and a non-coding AT-rich region. The base composition of the T. orientalis mitogenome is 31.31% for T, 23.77% for C, 31.05% for A, and 13.87% for G, with an AT bias of 62.36%. In addition to a duplicated trnS1 and several other tRNA gene rearrangements, the mitogenome gene order has novel protein coding gene order with the nad6 and cob genes translocated as a block to a location downstream of the nad3 gene.
    Matched MeSH terms: Genome, Mitochondrial*; Genome Size
  2. Tan MH, Gan HM, Lee YP, Austin CM
    PMID: 25090400 DOI: 10.3109/19401736.2014.945553
    The complete mitochondrial genome of the swimming crab Thalamita crenata was obtained from a partial genome scan using the MiSeq sequencing system. The Thalamita crenata mitogenome has 15,787 base pairs (70% A+T content) made up of 13 protein-coding genes, 2 ribosomal subunit genes, 22 transfer RNAs, and a putative 897 bp non-coding AT-rich region. This Thalamita mitogenome sequence is the first for the genus and the eighth for the family Portunidae.
    Matched MeSH terms: Genome, Mitochondrial*; Genome Size
  3. Choo SW, Ang MY, Fouladi H, Tan SY, Siow CC, Mutha NV, et al.
    BMC Genomics, 2014;15:600.
    PMID: 25030426 DOI: 10.1186/1471-2164-15-600
    Helicobacter is a genus of Gram-negative bacteria, possessing a characteristic helical shape that has been associated with a wide spectrum of human diseases. Although much research has been done on Helicobacter and many genomes have been sequenced, currently there is no specialized Helicobacter genomic resource and analysis platform to facilitate analysis of these genomes. With the increasing number of Helicobacter genomes being sequenced, comparative genomic analysis on members of this species will provide further insights on their taxonomy, phylogeny, pathogenicity and other information that may contribute to better management of diseases caused by Helicobacter pathogens.
    Matched MeSH terms: Genome, Bacterial*
  4. Ahmed N, Loke MF, Kumar N, Vadivelu J
    Helicobacter, 2013 Sep;18 Suppl 1:1-4.
    PMID: 24011237 DOI: 10.1111/hel.12069
    We describe features of key additions to the existing pool of publicly accessible Helicobacter pylori genome sequences and sequences of Helicobacter pylori phages from April 2012 to March 2013. In addition, important studies involving H. pylori genomes, especially those pertaining to genomic diversity, disease outcome, H. pylori population structure and evolution are reviewed. High degree of homologous recombination contributes to increased diversity of H. pylori genomes. New methods of resolving H. pylori population structure to an ultrafine level led to the proposal of new subpopulations. As the magnitude of diversity in the H. pylori gene pool becomes more and more clear, geographic and demographic factors should be brought to analysis while identifying disease-specific biomarkers and defining new virulence mechanisms.
    Matched MeSH terms: Genome, Bacterial*
  5. Ranganathan S, Schönbach C, Kelso J, Rost B, Nathan S, Tan TW
    BMC Bioinformatics, 2011;12 Suppl 13:S1.
    PMID: 22372736 DOI: 10.1186/1471-2105-12-S13-S1
    The 2011 International Conference on Bioinformatics (InCoB) conference, which is the annual scientific conference of the Asia-Pacific Bioinformatics Network (APBioNet), is hosted by Kuala Lumpur, Malaysia, is co-organized with the first ISCB-Asia conference of the International Society for Computational Biology (ISCB). InCoB and the sequencing of the human genome are both celebrating their tenth anniversaries and InCoB's goalposts for the next decade, implementing standards in bioinformatics and globally distributed computational networks, will be discussed and adopted at this conference. Of the 49 manuscripts (selected from 104 submissions) accepted to BMC Genomics and BMC Bioinformatics conference supplements, 24 are featured in this issue, covering software tools, genome/proteome analysis, systems biology (networks, pathways, bioimaging) and drug discovery and design.
    Matched MeSH terms: Genome, Human*
  6. Nor Hashim NA, Ramzi NH, Velapasamy S, Alex L, Chahil JK, Lye SH, et al.
    Asian Pac J Cancer Prev, 2012;13(12):6005-10.
    PMID: 23464394
    BACKGROUND: Nasopharyngeal carcinoma (NPC) is endemic in Southern Chinese and Southeast Asian populations. Geographical and ethnic clustering of the cancer is due to genetic, environmental, and lifestyle risk factors. This case-control study aimed to identify or confirm both genetic and non-genetic risk factors for NPC in one of the endemic countries, Malaysia.

    MATERIALS AND METHOD: A panel of 768 single-nucleotide polymorphisms (SNPs) previously associated with various cancers and known non-genetic risk factors for NPC were selected and analyzed for their associations with NPC in a case-control study.

    RESULTS: Statistical analysis identified 40 SNPs associated with NPC risk in our population, including 5 documented previously by genome-wide association studies (GWAS) and other case-control studies; the associations of the remaining 35 SNPs with NPC were novel. In addition, consistent with previous studies, exposure to occupational hazards, overconsumption of salt-cured foods, red meat, as well as low intake of fruits and vegetables were also associated with NPC risk.

    CONCLUSIONS: In short, this study confirmed and/or identified genetic, environmental and dietary risk factors associated with NPC susceptibility in a Southeast Asian population.

    Matched MeSH terms: Genome-Wide Association Study*
  7. Wee WY, Tan TK, Jakubovics NS, Choo SW
    PLoS One, 2016;11(3):e0152682.
    PMID: 27031249 DOI: 10.1371/journal.pone.0152682
    Mycobacterium brisbanense is a member of Mycobacterium fortuitum third biovariant complex, which includes rapidly growing Mycobacterium spp. that normally inhabit soil, dust and water, and can sometimes cause respiratory tract infections in humans. We present the first whole-genome analysis of M. brisbanense UM_WWY which was isolated from a 70-year-old Malaysian patient. Molecular phylogenetic analyses confirmed the identification of this strain as M. brisbanense and showed that it has an unusually large genome compared with related mycobacteria. The large genome size of M. brisbanense UM_WWY (~7.7Mbp) is consistent with further findings that this strain has a highly variable genome structure that contains many putative horizontally transferred genomic islands and prophage. Comparative analysis showed that M. brisbanense UM_WWY is the only Mycobacterium species that possesses a complete set of genes encoding enzymes involved in the urea cycle, suggesting that this soil bacterium is able to synthesize urea for use as plant fertilizers. It is likely that M. brisbanense UM_WWY is adapted to live in soil as its primary habitat since the genome contains many genes associated with nitrogen metabolism. Nevertheless, a large number of predicted virulence genes were identified in M. brisbanense UM_WWY that are mostly shared with well-studied mycobacterial pathogens such as Mycobacterium tuberculosis and Mycobacterium abscessus. These findings are consistent with the role of M. brisbanense as an opportunistic pathogen of humans. The whole-genome study of UM_WWY has provided the basis for future work of M. brisbanense.
    Matched MeSH terms: Genome, Bacterial*
  8. Kuan CS, Yew SM, Chan CL, Toh YF, Lee KW, Cheong WH, et al.
    Database (Oxford), 2016;2016.
    PMID: 26980516 DOI: 10.1093/database/baw008
    Many species of dematiaceous fungi are associated with allergic reactions and potentially fatal diseases in human, especially in tropical climates. Over the past 10 years, we have isolated more than 400 dematiaceous fungi from various clinical samples. In this study, DemaDb, an integrated database was designed to support the integration and analysis of dematiaceous fungal genomes. A total of 92 072 putative genes and 6527 pathways that identified in eight dematiaceous fungi (Bipolaris papendorfii UM 226, Daldinia eschscholtzii UM 1400, D. eschscholtzii UM 1020, Pyrenochaeta unguis-hominis UM 256, Ochroconis mirabilis UM 578, Cladosporium sphaerospermum UM 843, Herpotrichiellaceae sp. UM 238 and Pleosporales sp. UM 1110) were deposited in DemaDb. DemaDb includes functional annotations for all predicted gene models in all genomes, such as Gene Ontology, EuKaryotic Orthologous Groups, Kyoto Encyclopedia of Genes and Genomes (KEGG), Pfam and InterProScan. All predicted protein models were further functionally annotated to Carbohydrate-Active enzymes, peptidases, secondary metabolites and virulence factors. DemaDb Genome Browser enables users to browse and visualize entire genomes with annotation data including gene prediction, structure, orientation and custom feature tracks. The Pathway Browser based on the KEGG pathway database allows users to look into molecular interaction and reaction networks for all KEGG annotated genes. The availability of downloadable files containing assembly, nucleic acid, as well as protein data allows the direct retrieval for further downstream works. DemaDb is a useful resource for fungal research community especially those involved in genome-scale analysis, functional genomics, genetics and disease studies of dematiaceous fungi. Database URL: http://fungaldb.um.edu.my.
    Matched MeSH terms: Genome, Fungal*
  9. Zheng W, Tan TK, Paterson IC, Mutha NV, Siow CC, Tan SY, et al.
    PLoS One, 2016;11(5):e0151908.
    PMID: 27138013 DOI: 10.1371/journal.pone.0151908
    The oral streptococci are spherical Gram-positive bacteria categorized under the phylum Firmicutes which are among the most common causative agents of bacterial infective endocarditis (IE) and are also important agents in septicaemia in neutropenic patients. The Streptococcus mitis group is comprised of 13 species including some of the most common human oral colonizers such as S. mitis, S. oralis, S. sanguinis and S. gordonii as well as species such as S. tigurinus, S. oligofermentans and S. australis that have only recently been classified and are poorly understood at present. We present StreptoBase, which provides a specialized free resource focusing on the genomic analyses of oral species from the mitis group. It currently hosts 104 S. mitis group genomes including 27 novel mitis group strains that we sequenced using the high throughput Illumina HiSeq technology platform, and provides a comprehensive set of genome sequences for analyses, particularly comparative analyses and visualization of both cross-species and cross-strain characteristics of S. mitis group bacteria. StreptoBase incorporates sophisticated in-house designed bioinformatics web tools such as Pairwise Genome Comparison (PGC) tool and Pathogenomic Profiling Tool (PathoProT), which facilitate comparative pathogenomics analysis of Streptococcus strains. Examples are provided to demonstrate how StreptoBase can be employed to compare genome structure of different S. mitis group bacteria and putative virulence genes profile across multiple streptococcal strains. In conclusion, StreptoBase offers access to a range of streptococci genomic resources as well as analysis tools and will be an invaluable platform to accelerate research in streptococci. Database URL: http://streptococcus.um.edu.my.
    Matched MeSH terms: Genome, Bacterial*
  10. Yaakop AS, Chan KG, Gan HM, Goh KM
    Mar Genomics, 2015 Oct;23:59-60.
    PMID: 25999308 DOI: 10.1016/j.margen.2015.05.004
    Jeotgalibacillus campisalis SF-57(T) (=KCCM 41644(T), JCM 11810(T)) is a moderate halophilic bacterium isolated from a Korean marine saltern. In this study, we describe the high-quality draft genome of strain SF-57(T), which was assembled into 24 contigs containing 3,650,490bp with a G+C content of 41.06%. Availability of the genome sequence of J. campisalis SF-57(T) will contribute to a better understanding of the genus Jeotgalibacillus.
    Matched MeSH terms: Genome, Bacterial*
  11. Yong HS, Song SL, Eamsobhana P, Goh SY, Lim PE, Chow WL, et al.
    PLoS One, 2015;10(7):e0134581.
    PMID: 26230642 DOI: 10.1371/journal.pone.0134581
    Angiostrongylus costaricensis is a zoonotic parasitic nematode that causes abdominal or intestinal angiostrongyliasis in humans. It is endemic to the Americas. Although the mitochondrial genome of the Brazil taxon has been published, there is no available mitochondrial genome data on the Costa Rica taxon. We report here the complete mitochondrial genome of the Costa Rica taxon and its genetic differentiation from the Brazil taxon. The whole mitochondrial genome was obtained from next-generation sequencing of genomic DNA. It had a total length of 13,652 bp, comprising 36 genes (12 protein-coding genes-PCGs, 2 rRNA and 22 tRNA genes) and a control region (A + T rich non-coding region). It is longer than that of the Brazil taxon (13,585 bp). The larger mitogenome size of the Costa Rica taxon is due to the size of the control region as the Brazil taxon has a shorter length (265 bp) than the Costa Rica taxon (318 bp). The size of 6 PCGs and the start codon for ATP6, CYTB and NAD5 genes are different between the Costa Rica and Brazil taxa. Additionally, the two taxa differ in the stop codon of 6 PCGs. Molecular phylogeny based on 12 PCGs was concordant with two rRNA, 22 tRNA and 36 mitochondrial genes. The two taxa have a genetic distance of p = 16.2% based on 12 PCGs, p = 15.3% based on 36 mitochondrial genes, p = 13.1% based on 2 rRNA genes and p = 10.7% based on 22 tRNA genes, indicating status of sibling species. The Costa Rica and Brazil taxa of A. costaricensis are proposed to be accorded specific status as members of a species complex.
    Matched MeSH terms: Genome, Mitochondrial*
  12. Liedigk R, Kolleck J, Böker KO, Meijaard E, Md-Zain BM, Abdul-Latiff MA, et al.
    BMC Genomics, 2015 Mar 21;16:222.
    PMID: 25887664 DOI: 10.1186/s12864-015-1437-0
    BACKGROUND: Long-tailed macaques (Macaca fascicularis) are an important model species in biomedical research and reliable knowledge about their evolutionary history is essential for biomedical inferences. Ten subspecies have been recognized, of which most are restricted to small islands of Southeast Asia. In contrast, the common long-tailed macaque (M. f. fascicularis) is distributed over large parts of the Southeast Asian mainland and the Sundaland region. To shed more light on the phylogeny of M. f. fascicularis, we sequenced complete mitochondrial (mtDNA) genomes of 40 individuals from all over the taxon's range, either by classical PCR-amplification and Sanger sequencing or by DNA-capture and high-throughput sequencing.

    RESULTS: Both laboratory approaches yielded complete mtDNA genomes from M. f. fascicularis with high accuracy and/or coverage. According to our phylogenetic reconstructions, M. f. fascicularis initially diverged into two clades 1.70 million years ago (Ma), with one including haplotypes from mainland Southeast Asia, the Malay Peninsula and North Sumatra (Clade A) and the other, haplotypes from the islands of Bangka, Java, Borneo, Timor, and the Philippines (Clade B). The three geographical populations of Clade A appear as paraphyletic groups, while local populations of Clade B form monophyletic clades with the exception of a Philippine individual which is nested within the Borneo clade. Further, in Clade B the branching pattern among main clades/lineages remains largely unresolved, most likely due to their relatively rapid diversification 0.93-0.84 Ma.

    CONCLUSIONS: Both laboratory methods have proven to be powerful to generate complete mtDNA genome data with similarly high accuracy, with the DNA-capture and high-throughput sequencing approach as the most promising and only practical option to obtain such data from highly degraded DNA, in time and with relatively low costs. The application of complete mtDNA genomes yields new insights into the evolutionary history of M. f. fascicularis by providing a more robust phylogeny and more reliable divergence age estimations than earlier studies.

    Matched MeSH terms: Genome, Mitochondrial*
  13. Chakraborty S, Deb B, Barbhuiya PA, Uddin A
    Virus Res, 2019 04 02;263:129-138.
    PMID: 30664908 DOI: 10.1016/j.virusres.2019.01.011
    Codon usage bias (CUB) is the unequal usage of synonymous codons of an amino acid in which some codons are used more often than others and is widely used in understanding molecular biology, genetics, and functional regulation of gene expression. Nipah virus (NiV) is an emerging zoonotic paramyxovirus that causes fatal disease in both humans and animals. NiV was first identified during an outbreak of a disease in Malaysia in 1998 and then occurred periodically since 2001 in India, Bangladesh, and the Philippines. We used bioinformatics tools to analyze the codon usage patterns in a genome-wide manner among 11 genomes of NiV as no work was reported yet. The compositional properties revealed that the overall GC and AT contents were 41.96 and 58.04%, respectively i.e. Nipah virus genes were AT-rich. Correlation analysis between overall nucleotide composition and its 3rd codon position suggested that both mutation pressure and natural selection might influence the CUB across Nipah genomes. Neutrality plot revealed natural selection might have played a major role while mutation pressure had a minor role in shaping the codon usage bias in NiV genomes.
    Matched MeSH terms: Genome, Viral*
  14. Hong KW, Koh CL, Sam CK, Yin WF, Chan KG
    J Bacteriol, 2012 Nov;194(22):6317.
    PMID: 23105060 DOI: 10.1128/JB.01578-12
    Burkholderia sp. strain GG4, isolated from the ginger rhizosphere, possesses a unique N-acylhomoserine lactone (AHL)-modifying activity that reduces 3-oxo-AHLs to 3-hydroxy-AHLs. To the best of our knowledge, this is the first sequenced genome from a bacterium of the genus Burkholderia that shows both quorum-sensing and signaling confusion activities.
    Matched MeSH terms: Genome, Bacterial*
  15. Zhu M, Shen J, Zeng Q, Tan JW, Kleepbua J, Chew I, et al.
    Front Public Health, 2021 07 30;9:685315.
    PMID: 34395364 DOI: 10.3389/fpubh.2021.685315
    Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has posed an unprecedented challenge to public health in Southeast Asia, a tropical region with limited resources. This study aimed to investigate the evolutionary dynamics and spatiotemporal patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the region. Materials and Methods: A total of 1491 complete SARS-CoV-2 genome sequences from 10 Southeast Asian countries were downloaded from the Global Initiative on Sharing Avian Influenza Data (GISAID) database on November 17, 2020. The evolutionary relationships were assessed using maximum likelihood (ML) and time-scaled Bayesian phylogenetic analyses, and the phylogenetic clustering was tested using principal component analysis (PCA). The spatial patterns of SARS-CoV-2 spread within Southeast Asia were inferred using the Bayesian stochastic search variable selection (BSSVS) model. The effective population size (Ne) trajectory was inferred using the Bayesian Skygrid model. Results: Four major clades (including one potentially endemic) were identified based on the maximum clade credibility (MCC) tree. Similar clustering was yielded by PCA; the first three PCs explained 46.9% of the total genomic variations among the samples. The time to the most recent common ancestor (tMRCA) and the evolutionary rate of SARS-CoV-2 circulating in Southeast Asia were estimated to be November 28, 2019 (September 7, 2019 to January 4, 2020) and 1.446 × 10-3 (1.292 × 10-3 to 1.613 × 10-3) substitutions per site per year, respectively. Singapore and Thailand were the two most probable root positions, with posterior probabilities of 0.549 and 0.413, respectively. There were high-support transmission links (Bayes factors exceeding 1,000) in Singapore, Malaysia, and Indonesia; Malaysia involved the highest number (7) of inferred transmission links within the region. A twice-accelerated viral population expansion, followed by a temporary setback, was inferred during the early stages of the pandemic in Southeast Asia. Conclusions: With available genomic data, we illustrate the phylogeography and phylodynamics of SARS-CoV-2 circulating in Southeast Asia. Continuous genomic surveillance and enhanced strategic collaboration should be listed as priorities to curb the pandemic, especially for regional communities dominated by developing countries.
    Matched MeSH terms: Genome, Viral/genetics
  16. Ten KE, Md Zoqratt MZH, Ayub Q, Tan HS
    BMC Res Notes, 2021 Mar 04;14(1):83.
    PMID: 33663564 DOI: 10.1186/s13104-021-05493-z
    OBJECTIVE: The nosocomial pathogen, Acinetobacter baumannii, has acquired clinical significance due to its ability to persist in hospital settings and survive antibiotic treatment, which eventually resulted in the rapid spread of this bacterium with antimicrobial resistance (AMR) phenotypes. This study used a multidrug-resistant A. baumannii (strain ATCC BAA1605) as a model to study the genomic features of this pathogen.

    RESULTS: One circular chromosome and one circular plasmid were discovered in the complete genome of A. baumannii ATCC BAA1605 using whole-genome sequencing. The chromosome is 4,039,171 bp long with a GC content of 39.24%. Many AMR genes, which confer resistance to major classes of antibiotics (beta-lactams, aminoglycosides, tetracycline, sulphonamides), were found on the chromosome. Two genomic islands were predicted on the chromosome, one of which (Genomic Island 1) contains a cluster of AMR genes and mobile elements, suggesting the possibility of horizontal gene transfer. A subtype I-F CRISPR-Cas system was also identified on the chromosome of A. baumannii ATCC BAA1605. This study provides valuable genome data that can be used as a reference for future studies on A. baumannii. The genome of A. baumannii ATCC BAA1605 has been deposited at GenBank under accession no. CP058625 and CP058626.

    Matched MeSH terms: Genome, Bacterial/genetics
  17. Lam SD, Babu MM, Lees J, Orengo CA
    PLoS Comput Biol, 2021 03;17(3):e1008708.
    PMID: 33651795 DOI: 10.1371/journal.pcbi.1008708
    Alternative splicing can expand the diversity of proteomes. Homologous mutually exclusive exons (MXEs) originate from the same ancestral exon and result in polypeptides with similar structural properties but altered sequence. Why would some genes switch homologous exons and what are their biological impact? Here, we analyse the extent of sequence, structural and functional variability in MXEs and report the first large scale, structure-based analysis of the biological impact of MXE events from different genomes. MXE-specific residues tend to map to single domains, are highly enriched in surface exposed residues and cluster at or near protein functional sites. Thus, MXE events are likely to maintain the protein fold, but alter specificity and selectivity of protein function. This comprehensive resource of MXE events and their annotations is available at: http://gene3d.biochem.ucl.ac.uk/mxemod/. These findings highlight how small, but significant changes at critical positions on a protein surface are exploited in evolution to alter function.
    Matched MeSH terms: Genome/genetics*
  18. Ang MY, Dutta A, Wee WY, Dymock D, Paterson IC, Choo SW
    Genome Biol Evol, 2016 10 05;8(9):2928-2938.
    PMID: 27540086
    Fusobacterium nucleatum is considered to be a key oral bacterium in recruiting periodontal pathogens into subgingival dental plaque. Currently F. nucleatum can be subdivided into five subspecies. Our previous genome analysis of F. nucleatum W1481 (referred to hereafter as W1481), isolated from an 8-mm periodontal pocket in a patient with chronic periodontitis, suggested the possibility of a new subspecies. To further investigate the biology and relationships of this possible subspecies with other known subspecies, we performed comparative analysis between W1481 and 35 genome sequences represented by the five known Fusobacterium subspecies. Our analyses suggest that W1481 is most likely a new F. nucleatum subspecies, supported by evidence from phylogenetic analyses and maximal unique match indices (MUMi). Interestingly, we found a horizontally transferred W1481-specific genomic island harboring the tripartite ATP-independent (TRAP)-like transporter genes, suggesting this bacterium might have a high-affinity transport system for the C4-dicarboxylates malate, succinate, and fumarate. Moreover, we found virulence genes in the W1481 genome that may provide a strong defense mechanism which might enable it to colonize and survive within the host by evading immune surveillance. This comparative study provides better understanding of F. nucleatum and the basis for future functional work on this important pathogen.
    Matched MeSH terms: Genome, Bacterial*
  19. Lau YL, Lee WC, Chen J, Zhong Z, Jian J, Amir A, et al.
    PLoS One, 2016;11(6):e0157893.
    PMID: 27347683 DOI: 10.1371/journal.pone.0157893
    Anopheles cracens has been incriminated as the vector of human knowlesi malaria in peninsular Malaysia. Besides, it is a good laboratory vector of Plasmodium falciparum and P. vivax. The distribution of An. cracens overlaps with that of An. maculatus, the human malaria vector in peninsular Malaysia that seems to be refractory to P. knowlesi infection in natural settings. Whole genome sequencing was performed on An. cracens and An. maculatus collected here. The draft genome of An. cracens was 395 Mb in size whereas the size of An. maculatus draft genome was 499 Mb. Comparison with the published Malaysian An. maculatus genome suggested the An. maculatus specimen used in this study as a different geographical race. Comparative analyses highlighted the similarities and differences between An. cracens and An. maculatus, providing new insights into their biological behavior and characteristics.
    Matched MeSH terms: Genome, Insect*
  20. Yu CY, Ang GY, Chong TM, Chin PS, Ngeow YF, Yin WF, et al.
    J Antimicrob Chemother, 2017 04 01;72(4):1253-1255.
    PMID: 28031273 DOI: 10.1093/jac/dkw541
    Matched MeSH terms: Genome, Bacterial/genetics*
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