Displaying publications 1 - 20 of 121 in total

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  1. Fulltext Gene knockout identification using an extension of Bees Hill Flux Balance Analysis
    Choon YW, Mohamad MS, Deris S, Chong CK, Omatu S, Corchado JM
    Biomed Res Int, 2015;2015:124537.
    PMID: 25874200 DOI: 10.1155/2015/124537
    Microbial strain optimisation for the overproduction of a desired phenotype has been a popular topic in recent years. Gene knockout is a genetic engineering technique that can modify the metabolism of microbial cells to obtain desirable phenotypes. Optimisation algorithms have been developed to identify the effects of gene knockout. However, the complexities of metabolic networks have made the process of identifying the effects of genetic modification on desirable phenotypes challenging. Furthermore, a vast number of reactions in cellular metabolism often lead to a combinatorial problem in obtaining optimal gene knockout. The computational time increases exponentially as the size of the problem increases. This work reports an extension of Bees Hill Flux Balance Analysis (BHFBA) to identify optimal gene knockouts to maximise the production yield of desired phenotypes while sustaining the growth rate. This proposed method functions by integrating OptKnock into BHFBA for validating the results automatically. The results show that the extension of BHFBA is suitable, reliable, and applicable in predicting gene knockout. Through several experiments conducted on Escherichia coli, Bacillus subtilis, and Clostridium thermocellum as model organisms, extension of BHFBA has shown better performance in terms of computational time, stability, growth rate, and production yield of desired phenotypes.
    Matched MeSH terms: Genes, Bacterial/physiology*
  2. Distribution of clostridial cry-like genes among Bacillus thuringiensis and Clostridium strains
    Barloy F, Lecadet MM, Delécluse A
    Curr Microbiol, 1998 Apr;36(4):232-7.
    PMID: 9504991
    The presence of two cry-like genes first identified in Clostridium bifermentans subsp. malaysia CH18 was investigated in Clostridium species including 12 subspecies of Clostridium bifermentans, 13 strains of other members of Clostridia genus, and 13 different subspecies of Bacillus thuringiensis. Oligonucleotides designed to amplify the two toxin genes, cmb71 and cmb72, were used. We found that these genes are present in 80% of the Clostridium bifermentans strains tested and in 8% of the other Clostridium and Bacillus thuringiensis strains.
    Matched MeSH terms: Genes, Bacterial/genetics*
  3. Bacillus sphaericus strain 2297: nucleotide sequence of 41.9 kDa toxin gene
    Hindley J, Berry C
    Nucleic Acids Res, 1988 May 11;16(9):4168.
    PMID: 3375083
    Matched MeSH terms: Genes, Bacterial*
  4. Fulltext Comparative genome analyses of mycobacteria give better insights into their evolution
    Wee WY, Dutta A, Choo SW
    PLoS One, 2017;12(3):e0172831.
    PMID: 28291784 DOI: 10.1371/journal.pone.0172831
    Mycobacteria a genus of Actinobacteria are widespread in nature ranging from soil-dwelling saprophytes to human and animal pathogens. The rate of growth has been a classifying factor for the Mycobacterium spp., dividing them into the rapid growers and the slow growers. Here we have performed a comparative genome study of mycobacterial species in order to get better understanding of their evolution, particularly to understand the distinction between the rapid and slow growers. Our study shows that the slow growers had generally gained and lost more genes compared to the rapid growers. The slow growers might haved eventually lost genes (LivFGMH operon, shaACDEFG genes and MspA porin) that could contribute to the slow growth rate of the slow growers. The genes gained and lost in mycobacteria had eventually helped these bacteria to adapt to different environments and have led to the evolution of the present day rapid and slow growers. Our results also show high number of Mycobacterium abscessus specific genes (811 genes) and some of them are associated with the known bacterial quorum sensing genes that might be important for Mycobacterium abscessus to adapt and survive in variety of unfavorable environments. Mycobacterium abscessus also does not contains genes involved in the bacterial defense system and together with the quorum sensing genes may have contributed to the high gene gain rate of Mycobacterium abscessus.
    Matched MeSH terms: Genes, Bacterial
  5. Fulltext Genome-Wide Analysis of Targets for Post-Transcriptional Regulation by Rsm Proteins in Pseudomonas putida
    Huertas-Rosales Ó, Romero M, Chan KG, Hong KW, Cámara M, Heeb S, et al.
    Front Mol Biosci, 2021;8:624061.
    PMID: 33693029 DOI: 10.3389/fmolb.2021.624061
    Post-transcriptional regulation is an important step in the control of bacterial gene expression in response to environmental and cellular signals. Pseudomonas putida KT2440 harbors three known members of the CsrA/RsmA family of post-transcriptional regulators: RsmA, RsmE and RsmI. We have carried out a global analysis to identify RNA sequences bound in vivo by each of these proteins. Affinity purification and sequencing of RNA molecules associated with Rsm proteins were used to discover direct binding targets, corresponding to 437 unique RNA molecules, 75 of them being common to the three proteins. Relevant targets include genes encoding proteins involved in signal transduction and regulation, metabolism, transport and secretion, stress responses, and the turnover of the intracellular second messenger c-di-GMP. To our knowledge, this is the first combined global analysis in a bacterium harboring three Rsm homologs. It offers a broad overview of the network of processes subjected to this type of regulation and opens the way to define what are the sequence and structure determinants that define common or differential recognition of specific RNA molecules by these proteins.
    Matched MeSH terms: Genes, Bacterial
  6. Fulltext Phylogenetic relationship of phosphate solubilizing bacteria according to 16S rRNA genes
    Javadi Nobandegani MB, Saud HM, Yun WM
    Biomed Res Int, 2015;2015:201379.
    PMID: 25632387 DOI: 10.1155/2015/201379
    Phosphate solubilizing bacteria (PSB) can convert insoluble form of phosphorous to an available form. Applications of PSB as inoculants increase the phosphorus uptake by plant in the field. In this study, isolation and precise identification of PSB were carried out in Malaysian (Serdang) oil palm field (University Putra Malaysia). Identification and phylogenetic analysis of 8 better isolates were carried out by 16S rRNA gene sequencing in which as a result five isolates belong to the Beta subdivision of Proteobacteria, one isolate was related to the Gama subdivision of Proteobacteria, and two isolates were related to the Firmicutes. Bacterial isolates of 6upmr, 2upmr, 19upmnr, 10upmr, and 24upmr were identified as Alcaligenes faecalis. Also, bacterial isolates of 20upmnr and 17upmnr were identified as Bacillus cereus and Vagococcus carniphilus, respectively, and bacterial isolates of 31upmr were identified as Serratia plymuthica. Molecular identification and characterization of oil palm strains as the specific phosphate solubilizer can reduce the time and cost of producing effective inoculate (biofertilizer) in an oil palm field.
    Matched MeSH terms: Genes, Bacterial*
  7. In silico analysis of Burkholderia pseudomallei genome sequence for potential drug targets
    Chong CE, Lim BS, Nathan S, Mohamed R
    In Silico Biol. (Gedrukt), 2006;6(4):341-6.
    PMID: 16922696
    Recent advances in DNA sequencing technology have enabled elucidation of whole genome information from a plethora of organisms. In parallel with this technology, various bioinformatics tools have driven the comparative analysis of the genome sequences between species and within isolates. While drawing meaningful conclusions from a large amount of raw material, computer-aided identification of suitable targets for further experimental analysis and characterization, has also led to the prediction of non-human homologous essential genes in bacteria as promising candidates for novel drug discovery. Here, we present a comparative genomic analysis to identify essential genes in Burkholderia pseudomallei. Our in silico prediction has identified 312 essential genes which could also be potential drug candidates. These genes encode essential proteins to support the survival of B. pseudomallei including outer-inner membrane and surface structures, regulators, proteins involved in pathogenenicity, adaptation, chaperones as well as degradation of small and macromolecules, energy metabolism, information transfer, central/intermediate/miscellaneous metabolism pathways and some conserved hypothetical proteins of unknown function. Therefore, our in silico approach has enabled rapid screening and identification of potential drug targets for further characterization in the laboratory.
    Matched MeSH terms: Genes, Bacterial/drug effects
  8. Sequence analysis of the hypervariable regions of the 56 kDa immunodominant protein genes of Orientia tsutsugamushi strains in Malaysia
    Tay ST, Rohani YM, Ho TM, Shamala D
    Microbiol. Immunol., 2005;49(1):67-71.
    PMID: 15665455
    The DNA sequences encompassing two hypervariable regions, VD II and III of the 56 kDa immunodominant protein gene of 21 Malaysian strains of Orientia tsutsugamushi were determined. Two strains demonstrated a 100% DNA homology with the Gilliam prototype strain, and one with TH1817 strain and TA678 strain respectively. High percentages of DNA similarity (95-99%) were observed with Karp (4 strains), Gilliam (2 strains), TH1817 (4 strains), TC586 (3 strains) and TA763 (1 strain). The remaining strains demonstrated the highest DNA similarity with TA763 (1 strain, 89%), TA678 (1 strain, 86%) and TA686 (1 strain, 87%). Our study provides additional evidence on the existence and the genetic heterogeneity of TA strains of the Southeast Asia and their closely related strains in Malaysia.
    Matched MeSH terms: Genes, Bacterial*
  9. Bacterial diversity associated with empty oil palm fruit bunch compost as revealed by cultivation-independent analyses of PCR-amplified 16S rRNA genes
    Liew PW, Jong BC, Goh CM, Ahmad M
    J Gen Appl Microbiol, 2009 Jun;55(3):233-40.
    PMID: 19590151
    Matched MeSH terms: Genes, Bacterial/genetics
  10. Fulltext Identification of Five Novel Salmonella Typhi-Specific Genes as Markers for Diagnosis of Typhoid Fever Using Single-Gene Target PCR Assays
    Goay YX, Chin KL, Tan CL, Yeoh CY, Ja'afar JN, Zaidah AR, et al.
    Biomed Res Int, 2016;2016:8905675.
    PMID: 27975062
    Salmonella Typhi (S. Typhi) causes typhoid fever which is a disease characterised by high mortality and morbidity worldwide. In order to curtail the transmission of this highly infectious disease, identification of new markers that can detect the pathogen is needed for development of sensitive and specific diagnostic tests. In this study, genomic comparison of S. Typhi with other enteric pathogens was performed, and 6 S. Typhi genes, that is, STY0201, STY0307, STY0322, STY0326, STY2020, and STY2021, were found to be specific in silico. Six PCR assays each targeting a unique gene were developed to test the specificity of these genes in vitro. The diagnostic sensitivities and specificities of each assay were determined using 39 S. Typhi, 62 non-Typhi Salmonella, and 10 non-Salmonella clinical isolates. The results showed that 5 of these genes, that is, STY0307, STY0322, STY0326, STY2020, and STY2021, demonstrated 100% sensitivity (39/39) and 100% specificity (0/72). The detection limit of the 5 PCR assays was 32 pg for STY0322, 6.4 pg for STY0326, STY2020, and STY2021, and 1.28 pg for STY0307. In conclusion, 5 PCR assays using STY0307, STY0322, STY0326, STY2020, and STY2021 were developed and found to be highly specific at single-gene target resolution for diagnosis of typhoid fever.
    Matched MeSH terms: Genes, Bacterial*
  11. Occurrence and contamination profiles of antibiotic resistance genes from swine manure to receiving environments in Guangdong Province southern China
    Wen X, Mi J, Wang Y, Ma B, Zou Y, Liao X, et al.
    Ecotoxicol Environ Saf, 2019 May 30;173:96-102.
    PMID: 30769208 DOI: 10.1016/j.ecoenv.2019.02.023
    Livestock farms are commonly regarded as the main sources of antibiotic resistance genes (ARGs), emerging pollutants with potential implications for human health, in the environment. This study investigated the occurrence and contamination profiles of nine ARGs of three types from swine manure to receiving environments (soil and water) in Guangdong Province, southern China. All ARGs occurred in 100% of swine manure samples. Moreover, the absolute concentration of total ARGs varied from 3.01 × 108 to 7.18 × 1014 copies/g, which was significantly higher than that in wastewater and manured soil (p  0.05). However, the number of ARGs (ermB, qnrS, acc(6')-Ib, tetM, tetO and tetQ) decreased but were not eliminated by wastewater treatment components (p 
    Matched MeSH terms: Genes, Bacterial*
  12. Fulltext Genomic species identification of Acinetobacter of clinical isolates by 16S rDNA sequencing
    Misbah S, Hassan H, Yusof MY, Hanifah YA, AbuBakar S
    Singapore Med J, 2005 Sep;46(9):461-4.
    PMID: 16123830
    This study aims to identify Acinetobacter of clinical isolates from the University of Malaya Medical Centre (UMMC), Kuala Lumpur, to the species level by 16S rDNA sequencing.
    Matched MeSH terms: Genes, Bacterial/genetics*
  13. Fulltext Identification of potential Campylobacter jejuni genes involved in biofilm formation by EZ-Tn5 Transposome mutagenesis
    Teh AHT, Lee SM, Dykes GA
    BMC Res Notes, 2017 May 12;10(1):182.
    PMID: 28499399 DOI: 10.1186/s13104-017-2504-1
    BACKGROUND: Biofilm formation has been suggested to play a role in the survival of Campylobacter jejuni in the environment and contribute to the high incidence of human campylobacteriosis. Molecular studies of biofilm formation by Campylobacter are sparse.

    RESULTS: We attempted to identify genes that may be involved in biofilm formation in seven C. jejuni strains through construction of mutants using the EZ-Tn5 Transposome system. Only 14 mutants with reduced biofilm formation were obtained, all from one strain of C. jejuni. Three different genes of interest, namely CmeB (synthesis of multidrug efflux system transporter proteins), NusG (transcription termination and anti-termination protein) and a putative transmembrane protein (involved in membrane protein function) were identified. The efficiency of the EZ::TN5 transposon mutagenesis approach was strain dependent and was unable to generate any mutants from most of the strains used.

    CONCLUSIONS: A diverse range of genes may be involved in biofilm formation by C. jejuni. The application of the EZ::TN5 system for construction of mutants in different Campylobacter strains is limited.

    Matched MeSH terms: Genes, Bacterial/genetics*
  14. Fulltext Fate and transport modelling for evaluating antibiotic resistance in aquatic environments: Current knowledge and research priorities
    Jampani M, Mateo-Sagasta J, Chandrasekar A, Fatta-Kassinos D, Graham DW, Gothwal R, et al.
    J Hazard Mater, 2024 Jan 05;461:132527.
    PMID: 37788551 DOI: 10.1016/j.jhazmat.2023.132527
    Antibiotics have revolutionised medicine in the last century and enabled the prevention of bacterial infections that were previously deemed untreatable. However, in parallel, bacteria have increasingly developed resistance to antibiotics through various mechanisms. When resistant bacteria find their way into terrestrial and aquatic environments, animal and human exposures increase, e.g., via polluted soil, food, and water, and health risks multiply. Understanding the fate and transport of antibiotic resistant bacteria (ARB) and the transfer mechanisms of antibiotic resistance genes (ARGs) in aquatic environments is critical for evaluating and mitigating the risks of resistant-induced infections. The conceptual understanding of sources and pathways of antibiotics, ARB, and ARGs from society to the water environments is essential for setting the scene and developing an appropriate framework for modelling. Various factors and processes associated with hydrology, ecology, and climate change can significantly affect the fate and transport of ARB and ARGs in natural environments. This article reviews current knowledge, research gaps, and priorities for developing water quality models to assess the fate and transport of ARB and ARGs. The paper also provides inputs on future research needs, especially the need for new predictive models to guide risk assessment on AR transmission and spread in aquatic environments.
    Matched MeSH terms: Genes, Bacterial*
  15. A hybrid of bees algorithm and flux balance analysis with OptKnock as a platform for in silico optimization of microbial strains
    Choon YW, Mohamad MS, Deris S, Illias RM, Chong CK, Chai LE
    Bioprocess Biosyst Eng, 2014 Mar;37(3):521-32.
    PMID: 23892659 DOI: 10.1007/s00449-013-1019-y
    Microbial strain optimization focuses on improving technological properties of the strain of microorganisms. However, the complexities of the metabolic networks, which lead to data ambiguity, often cause genetic modification on the desirable phenotypes difficult to predict. Furthermore, vast number of reactions in cellular metabolism lead to the combinatorial problem in obtaining optimal gene deletion strategy. Consequently, the computation time increases exponentially with the increase in the size of the problem. Hence, we propose an extension of a hybrid of Bees Algorithm and Flux Balance Analysis (BAFBA) by integrating OptKnock into BAFBA to validate the result. This paper presents a number of computational experiments to test on the performance and capability of BAFBA. Escherichia coli, Bacillus subtilis and Clostridium thermocellum are the model organisms in this paper. Also included is the identification of potential reactions to improve the production of succinic acid, lactic acid and ethanol, plus the discussion on the changes in the flux distribution of the predicted mutants. BAFBA shows potential in suggesting the non-intuitive gene knockout strategies and a low variability among the several runs. The results show that BAFBA is suitable, reliable and applicable in predicting optimal gene knockout strategy.
    Matched MeSH terms: Genes, Bacterial
  16. Spatial pattern in Antarctica: what can we learn from Antarctic bacterial isolates?
    Chong CW, Goh YS, Convey P, Pearce D, Tan IK
    Extremophiles, 2013 Sep;17(5):733-45.
    PMID: 23812890 DOI: 10.1007/s00792-013-0555-3
    A range of small- to moderate-scale studies of patterns in bacterial biodiversity have been conducted in Antarctica over the last two decades, most suggesting strong correlations between the described bacterial communities and elements of local environmental heterogeneity. However, very few of these studies have advanced interpretations in terms of spatially associated patterns, despite increasing evidence of patterns in bacterial biogeography globally. This is likely to be a consequence of restricted sampling coverage, with most studies to date focusing only on a few localities within a specific Antarctic region. Clearly, there is now a need for synthesis over a much larger spatial to consolidate the available data. In this study, we collated Antarctic bacterial culture identities based on the 16S rRNA gene information available in the literature and the GenBank database (n > 2,000 sequences). In contrast to some recent evidence for a distinct Antarctic microbiome, our phylogenetic comparisons show that a majority (~75 %) of Antarctic bacterial isolates were highly similar (≥99 % sequence similarity) to those retrieved from tropical and temperate regions, suggesting widespread distribution of eurythermal mesophiles in Antarctic environments. However, across different Antarctic regions, the dominant bacterial genera exhibit some spatially distinct diversity patterns analogous to those recently proposed for Antarctic terrestrial macroorganisms. Taken together, our results highlight the threat of cross-regional homogenisation in Antarctic biodiversity, and the imperative to include microbiota within the framework of biosecurity measures for Antarctica.
    Matched MeSH terms: Genes, Bacterial
  17. Metagenomic insights into the antibiotic resistome of mangrove sediments and their association to socioeconomic status
    Imchen M, Kumavath R
    Environ Pollut, 2021 Jan 01;268(Pt A):115795.
    PMID: 33068846 DOI: 10.1016/j.envpol.2020.115795
    Mangrove sediments are prone to anthropogenic activities that could enrich antibiotics resistance genes (ARGs). The emergence and dissemination of ARGs are of serious concern to public health worldwide. Therefore, a comprehensive resistome analysis of global mangrove sediment is of paramount importance. In this study, we have implemented a deep machine learning approach to analyze the resistome of mangrove sediments from Brazil, China, Saudi Arabia, India, and Malaysia. Geography (RANOSIM = 39.26%; p  0.05). Several genes including multidrug efflux pumps were significantly (p 
    Matched MeSH terms: Genes, Bacterial
  18. Fulltext Whole gene transcriptomic analysis of PCB/biphenyl degrading Rhodococcus jostii RHA1
    Sha'arani S, Hara H, Araie H, Suzuki I, Mohd Noor MJM, Akhir FNM, et al.
    J Gen Appl Microbiol, 2019 Sep 14;65(4):173-179.
    PMID: 30686798 DOI: 10.2323/jgam.2018.08.003
    This study gives the first picture of whole RNA-Sequencing analysis of a PCB-degrading microbe, Rhodococcus jostii RHA1. Genes that were highly expressed in biphenyl-grown cells, compared with pyruvate-grown cells, were chosen based on the Reads Per Kilobase Million (RPKM) value and were summarized based on the criteria of RPKM ≥100 and fold change ≥2.0. Consequently, 266 total genes were identified as genes expressed particularly for the degradation of biphenyl. After comparison with previous microarray data that identified highly-expressed genes, based on a fold change ≥2.0 and p-value ≤0.05, 62 highly-expressed genes from biphenyl-grown cells were determined from both analytical platforms. As these 62 genes involve known PCB degradation genes, such as bph, etb, and ebd, the genes identified in this study can be considered as essential genes for PCB/biphenyl degradation. In the 62 genes, eleven genes encoding hypothetical proteins were highly expressed in the biphenyl-grown cells. Meanwhile, we identified several highly-expressed unannotated DNA regions on the opposite strand. In order to verify the encoded proteins, two regions were cloned into an expression vector. A protein was successfully obtained from one region at approximately 25 kDa from the unannotated strand. Thus, the genome sequence with transcriptomic analysis gives new insight, considering re-annotation of the genome of R. jostii RHA1, and provides a clearer picture of PCB/biphenyl degradation in this strain.
    Matched MeSH terms: Genes, Bacterial
  19. Isolation and molecular identification of Aeromonas species from the tank water of ornamental fishes
    Cheok YY, Puah SM, Chua KH, Tan JAMA
    Acta Vet Hung, 2020 10 13;68(2):130-139.
    PMID: 33055305 DOI: 10.1556/004.2020.00029
    Aeromonads are recognised as important pathogens of fishes. In this study, ten water samples were randomly collected from pet shops' fish tanks and home aquaria inhabited by several fish species (silver arowana, koi, goldfish, catfish, pictus fish, silver shark and silver dollar fish). Altogether 298 colonies were isolated using Aeromonas selective agar. A total of 154 isolates were then confirmed as belonging to the genus Aeromonas using the GCAT gene. Using ERIC-PCR, a total of 40 duplicate isolates were excluded from the study and 114 isolates were subjected to PCR-RFLP targeting the RNA polymerase sigma factor (rpoD) gene using lab-on-chip. A total of 13 different Aeromonas species were identified. The most prevalent species were A. veronii (27%, 31/114), followed by A. dhakensis (17%, 19/114), A. finlandiensis (9%, 10/114), A. caviae (8%, 9/114), A. hydrophila (4%, 4/114), A. jandaei (4%, 4/114), A. rivuli (3%, 3/114), A. enteropelogens (2%, 2/114), A. tecta (2%, 2/114), A. allosaccharophila (1%, 1/114), A. eucrenophila (1%, 1/114), A. media (1%, 1/114) and A. diversa (1%, 1/114). Twenty-six isolates (23%) were unidentifiable at species level. The present study demonstrates that Aeromonas species are highly diverse in freshwater fish tanks, and suggests the potential risks posed by the isolated bacteria to the health of ornamental fish species.
    Matched MeSH terms: Genes, Bacterial
  20. Fulltext Transcriptome analysis of Pseudomonas aeruginosa PAO1 grown at both body and elevated temperatures
    Chan KG, Priya K, Chang CY, Abdul Rahman AY, Tee KK, Yin WF
    PeerJ, 2016;4:e2223.
    PMID: 27547539 DOI: 10.7717/peerj.2223
    Functional genomics research can give us valuable insights into bacterial gene function. RNA Sequencing (RNA-seq) can generate information on transcript abundance in bacteria following abiotic stress treatments. In this study, we used the RNA-seq technique to study the transcriptomes of the opportunistic nosocomial pathogen Pseudomonas aeruginosa PAO1 following heat shock. Samples were grown at both the human body temperature (37 °C) and an arbitrarily-selected temperature of 46 °C. In this work using RNA-seq, we identified 133 genes that are differentially expressed at 46 °C compared to the human body temperature. Our work identifies some key P. aeruginosa PAO1 genes whose products have importance in both environmental adaptation as well as in vivo infection in febrile hosts. More importantly, our transcriptomic results show that many genes are only expressed when subjected to heat shock. Because the RNA-seq can generate high throughput gene expression profiles, our work reveals many unanticipated genes with further work to be done exploring such genes products.
    Matched MeSH terms: Genes, Bacterial
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