Mining Genomic Patterns in Mycobacterium tuberculosis H37Rv Using a Web Server Tuber-Gene

Mycobacterium tuberculosis (MTB), causative agent of tuberculosis, is one of the most dreaded diseases of the century. It has long been studied by researchers throughout the world using various wet-lab and dry-lab techniques. In this study, we focus on mining useful patterns at genomic level that can be applied for in silico functional characterization of genes from the MTB complex. The model developed on the basis of the patterns found in this study can correctly identify 99.77% of the input genes from the genome of MTB strain H37Rv. The model was tested against four other MTB strains and the homologue M. bovis to further evaluate its generalization capability. The mean prediction accuracy was 85.76%. It was also observed that the GC content remained fairly constant throughout the genome, implicating the absence of any pathogenicity island transferred from other organisms. This study reveals that dinucleotide composition is an efficient functional class discriminator for MTB complex. To facilitate the application of this model, a web server Tuber-Gene has been developed, which can be freely ac- cessed at http://www.bifmanit.org/tb2/.     

T cell expression cloning of a Mycobacterium tuberculosis gene encoding a protective antigen associated with the early control of infection

Infection of C57BL/6 mice with Mycobacterium tuberculosis results in the development of a progressive disease during the first 2 wk after challenge. Thereafter, the disease is controlled by the emergence of protective T cells. We have used this infection model in conjunction with direct T cell expression cloning to identify Ags involved with the early control of the disease. A protective M. tuberculosis-specific CD4 T cell line derived from mice at 3 wk postchallenge was used to directly screen an M. tuberculosis genomic expression library. This screen resulted in the identification of a genomic clone comprising two putative adjacent genes with predicted open reading frames of 10 and 41 kDa, MTB10 and MTB41, respectively (the products of Rv0916c and Rv0915c, respectively, in the TubercuList H37Rv database). MTB10 and MTB41 belong to the PE and PPE family of proteins recently identified to comprise 10% of the M. tuberculosis genome. Evaluation of the recombinant proteins revealed that MTB41, but not MTB10, is the Ag recognized by the cell line and by M. tuberculosis-sensitized human PBMC. Moreover, C57BL/6 mice immunized with MTB41 DNA developed both CD4- (predominantly Th1) and CD8-specific T cell responses to rMTB41 protein. More importantly, immunization of C57BL/6 mice with MTB41 DNA induced protection against infection with M. tuberculosis comparable to that induced by bacillus Calmette-Guérin. Thus, the use of a proven protective T cell line in conjunction with the T cell expression cloning approach resulted in the identification of a candidate Ag for a subunit vaccine against tuberculosis.     

The identification of biomarkers differentiating Mycobacterium tuberculosis and non-tuberculous mycobacteria via thermally assisted hydrolysis and methylation gas chromatography–mass spectrometry and chemometrics

Infections with non-tuberculous mycobacteria (NTM) are increasing, particularly among immune-compromised patients and those with damaged lungs. Mycobacterium tuberculosis complex (MTB) strains, however, remain the most common cause of mycobacterial infection. A rapid method of distinguishing MTB from NTM is required for correct diagnosis and tuberculosis management. We have developed an automated procedure based on thermally-assisted hydrolysis and methylation followed by gas chromatography–mass spectrometry (THM–GC–MS) and advanced chemometrics to differentiate MTB from NTM. We used early cultures of mycobacteria in this first step towards the direct identification of these bacteria in sputum using a hand-held portable device. To build a classification model, we used 44 strains including 15 MTB and 29 NTM. A matrix of the aligned dataset containing ~45,700 features (retention time/mass pairs) for the 44 observations was submitted to partial least squares discriminant analysis (PLS–DA). We could reduce the number of features down to 250 without compromising the accuracy of the model. Twenty different compounds were found through mass spectral interpretation of these 250 features. Some of these compounds have not been linked to tuberculosis before, others have been proposed previously as diagnostic biomarkers for this disease. We have built a final model based on our proposed biomarkers that performed with 95 % accuracy in distinguishing MTB from NTM in early cultures. Since all these biomarkers have been chemically identified, work can proceed towards the development of simpler, bed-side diagnostic tests to differentiate MTB from NTM in sputum.     

Direct and simultaneous identification of Mycobacterium tuberculosis complex (MTBC) and Mycobacterium tuberculosis (MTB) by rapid multiplex nested PCR-ICT assay

The Mycobacterium tuberculosis (MTB) shows different virulence and host infection range from other members of the M. tuberculosis complex (MTBC). Differential identification of MTB from MTBC is thus important in certain occasions. The currently commercially available molecular assays which use either IS6110 or 16S rDNA fragment as identification targets are mainly designed for identifying MTBC but not for MTB. Comparative genomic DNA analysis has provided valuable information on regions of difference (RD) present in MTB but not in other members of the MTBC. RD9 region is further suggested to be a potential target for differential identification of MTB from MTBC. In this study, using IS6110 and Rv3618 (belong to RD9) as the specific identification targets for MTBC and MTB, respectively, we developed and tested a multiplex nested PCR-ICT (immuno-chromatography test) assay for simultaneously and directly detecting not only MTBC but also MTB from 1500 clinical sputum specimens. The results were compared with traditional culture and biochemical identification results together with patients' clinical assessments. This assay showed a 95.5% sensitivity, 97.9% specificity, 2.1% false positive rate and 4.5% false negative rate towards detection of MTBC, and a 93.0% sensitivity, 99.8% specificity, 0.2% false positive rate and 7.0% false negative rate for detection of MTB. This detection system shows great potential in clinical application.     

Computational structural analysis of proteins of Mycobacterium tuberculosis and a resource for identifying off-targets

Advancement in technology has helped to solve structures of several proteins including M. tuberculosis (MTB) proteins. Identifying similarity between protein structures could not only yield valuable clues to their function, but can also be employed for motif finding, protein docking and off-target identification. The current study has undertaken analysis of structures of all MTB gene products with available structures was analyzed. Majority of the MTB proteins belonged to the α/β class. 23 different protein folds are used in the MTB protein structures. Of these, the TIM barrel fold was found to be highly conserved even at very low sequence identity. We identified 21 paralogs and 27 analogs of MTB based on domains and EC classification. Our analysis revealed that many of the current drug targets share structural similarity with other proteins within the MTB genome, which could probably be off-targets. Results of this analysis have been made available in the Mycobacterium tuberculosis Structural Database (http://bmi.icmr.org.in/mtbsd/MtbSD.php/search.php) which is a useful resource for current and novel drug targets of MTB.     

Rapid and sensitive detection of Mycobacterium tuberculosis based on strand displacement amplification and magnetic beads

Tuberculosis is one of the main infectious diseases threatening public health, and the development of simple, rapid, and cost‐saving methods for tuberculosis diagnosis is of profound importance for tuberculosis prevention and treatment. The bacterium Mycobacterium tuberculosis (MTB) is the pathogen that causes tuberculosis, and assaying for MTB is the only criterion for tuberculosis diagnosis. A new enzyme‐free method based on strand displacement amplification and magnetic beads was developed for simple, rapid, and cost‐saving MTB detection. Under optimum conditions, a good linear relationship could be observed between fluorescence and MTB specific DNA concentration ranging from 0.05 to 150 nM with a correlation coefficient of 0.993 (n = 8) and a detection limit of 47 pM (3σ/K). The present method also distinguished a one base mismatch from MTB specific DNA, showing great promise for MTB genome single base polymorphism analysis. MTB specific DNA content in polymerase chain reaction samples was successfully detected using the new method, and recoveries were 97.8–100.8%, indicating that the present method had high accuracy and shows good potential for the early diagnosis of tuberculosis.     

Plant genome archaeology: evidence for conserved ancestral chromosome segments in dicotyledonous plant species

We have developed genetic maps, based on expressed sequence tags (ESTs) that are homologous to Arabidopsis genes, in four dicotyledonous crop plant species from different families. A comparison of these maps with the physical map of Arabidopsis reveals common genome segments that appear to have been conserved throughout the evolution of the dicots. In the four crop species analysed these segments comprise between 16 and 33% of the Arabidopsis genome. Our findings extend the synteny patterns previously observed only within plant families, and indicate that structural and functional information from the model species will be, at least in part, applicable in crop plants with large genomes.     

Validation of Biomarkers for Distinguishing Mycobacterium tuberculosis from Non-Tuberculous Mycobacteria Using Gas Chromatography?Mass Spectrometry and Chemometrics

Tuberculosis (TB) remains a major international health problem. Rapid differentiation of Mycobacterium tuberculosis complex (MTB) from non-tuberculous mycobacteria (NTM) is critical for decisions regarding patient management and choice of therapeutic regimen. Recently we developed a 20-compound model to distinguish between MTB and NTM. It is based on thermally assisted hydrolysis and methylation gas chromatography-mass spectrometry and partial least square discriminant analysis. Here we report the validation of this model with two independent sample sets, one consisting of 39 MTB and 17 NTM isolates from the Netherlands, the other comprising 103 isolates (91 MTB and 12 NTM) from Stellenbosch, Cape Town, South Africa. All the MTB strains in the 56 Dutch samples were correctly identified and the model had a sensitivity of 100% and a specificity of 94%. For the South African samples the model had a sensitivity of 88% and specificity of 100%. Based on our model, we have developed a new decision-tree that allows the differentiation of MTB from NTM with 100% accuracy. Encouraged by these findings we will proceed with the development of a simple, rapid, affordable, high-throughput test to identify MTB directly in sputum.     

Rapid detection of resistance against rifampicin in isolates of Mycobacterium tuberculosis from Brazilian patients using a reverse-phase hybridization assay

The main objective of this study was to evaluate INNO-LiPA Rif.TB and to determine the frequency of mutations in rpoB in rifampicin-resistant Mycobacterium tuberculosis isolates of Brazilian tuberculosis patients. We used the reverse hybridization assay on 113 resistant and 15 sensitive clinical isolates of M. tuberculosis and on reference strains belonging to 37 different species. All MTB complex strains and none of the other strains reacted with the MTB complex-specific probe, meaning that the assay is 100% specific and 100% sensitive for detection of strains of the MTB complex. In 80 resistant strains, mutations causing S531L (n=55), H526Y (n=9), H526D (n=12) or D516V (n=9) were detected while in 30 strains, mutations were present but their exact nature was not determined by the assay (DeltaS patterns). All sensitive strains had the sensitive genotype while among resistant isolates, a sensitive genotype was obtained in three due to the absence of mutations in the hot spot region, demonstrating an assay accuracy of 97.6% for detection of drug susceptibility. In 10 resistant cultures, two or more mutations were detected and in five, mixed sensitive and resistant genotypes were observed. The sensitivity of the assay for detection of resistant organisms in a mixture with sensitive ones were 2% and 70%, respectively, considering the appearance and disappearance of the R2 and S2 bands. The sensitivity to detect heteroresistance is similar to that of the proportion method when a specific probe for the mutation is present but the performance of the assay in the patient population will depend on the frequency of mutation distribution.     

以蛋白激酶G为靶点的抗结核药物筛选模型的建立和初步应用

结核分枝杆菌可以产生11种丝氨酸/苏氨酸蛋白激酶,其中蛋白激酶G(PknG)对于结核分枝杆菌在巨噬细胞内以"持留"状态长期存活有着重要作用。本研究以结核分枝杆菌基因组DNA为模板,在大肠杆菌中克隆表达了MTBPknG蛋白,并分离纯化得到PknG纯酶。本研究还采用三步级联反应方法测定了PknG酶活性,建立和优化了PknG抑制剂高通量筛选模型。利用此模型共筛选发酵液样品2120个,化合物样品2300个,筛选得到阳性化合物1个,阳性发酵液13个,阳性率0.32%。     

Concerted evolution within a trypsin gene cluster in Drosophila.

A cluster of four trypsin genes has previously been localized to cytological position 47D-F of the Drosophila melanogaster genome. One of these genes had been sequenced, and the presence of the other three genes was identified by cross-hybridization. Here, we present the DNA sequence of the entire genomic region encoding these four trypsin genes. In addition to the four previously inferred genes, we have identified a fifth trypsin-coding sequence located within this gene cluster. This new gene shows a high degree of sequence divergence (more than 30%) from the other four genes, although it retains all of the functional motifs that are characteristic of trypsin-coding sequences. In order to trace the molecular evolution of this gene cluster, we isolated and sequenced the homologous 7-kb region from the closely related species Drosophila erecta. A comparison of the DNA sequences between the two species provides strong evidence for the concerted evolution of some members of this gene family. Two genes within the cluster are evolving in concert, while a third gene appears to be evolving independently. The remaining two genes show an intermediate pattern of evolution. We propose a simple model, involving chromosome looping and gene conversion, to explain the relatively complex patterns of molecular evolution within this gene cluster.     

Automatized PCR evaluation of Mycobacterium tuberculosis complex in respiratory and nonrespiratory specimens

In this study, Mycobacterium tuberculosis complex isolates recovered from respiratory and nonrespiratory specimens with culture were evaluated using an automatized PCR method. Specimens with suspected tuberculous disease were decontaminated and concentrated using the standard N-acetyl-L-cysteine NaOH method and were inoculated onto glycerol-supplemented L?wenstein-Jensen media and BACTEC B12 vials. Forty-one specimens with typical colonies on solid media and 127 specimens identified as M. tuberculosis complex in a BACTEC system were selected as the study group. As the control group, 46 specimens without growth on either culture media were selected. The PCR results were positive in 33 (80.5%) and 87 (68.5%) samples that were culture-positive on solid and liquid media, respectively. All (100%) culture-negative specimens within the control group were also negative in the COBAS AMPLICOR Mycobacterium tuberculosis (MTB) PCR method. In conclusion, although it is a fast method for identifying M. tuberculosis complex isolates from clinical specimens, the COBAS AMPLICOR MTB PCR method is found to be less sensitive than culture techniques, we propose therefore that it should only be used in combination with culture results in the clinical diagnosis of tuberculosis.     

Conclusive evidence that the major T-cell antigens of the Mycobacterium tuberculosis complex ESAT-6 and CFP-10 form a tight, 1:1 complex and characterization of the structural properties of ESAT-6, CFP-10, and the ESAT-6*CFP-10 complex. Implications for pathogenesis and virulence

The proteins ESAT-6 and CFP-10 have been shown to be secreted by Mycobacterium tuberculosis and Mycobacterium bovis cells, to be potent T-cell antigens, and to have a clear but as yet undefined role in tuberculosis pathogenesis. We have successfully overexpressed both ESAT-6 and CFP-10 in Escherichia coli and developed efficient purification schemes. Under in vivo-like conditions, a combination of fluorescence, circular dichroism, and nuclear magnetic resonance spectroscopy have shown that ESAT-6 contains up to 75% helical secondary structure, but little if any stable tertiary structure, and exists in a molten globule-like state. In contrast, CFP-10 was found to form an unstructured, random coil polypeptide. An exciting discovery was that ESAT-6 and CFP-10 form a tight, 1:1 complex, in which both proteins adopt a fully folded structure, with about two-thirds of the backbone in a regular helical conformation. This clearly suggests that ESAT-6 and CFP-10 are active as the complex and raises the interesting question of whether other ESAT-6/CFP-10 family proteins (22 paired genes in M. tuberculosis) also form tight, 1:1 complexes, and if so, is this limited to their genome partner, or is there scope for wider interactions within the protein family, which could provide greater functional flexibility?     

Risk factors of gastrointestinal nematode parasite infections in small ruminants kept in smallholder mixed farms in Kenya

Background

We have evaluated a sensitive screening assay for Mycobacterium tuberculosis (MTB) complex organisms and a specific assay for detecting Mycobacterium bovis DNA in lymph nodes taken from cattle with evidence of bovine tuberculosis. Underlying these series of experiments was the need for a versatile DNA extraction protocol which could handle tissue samples and with the potential for automation. The target for the screening assay was the multi-copy insertion element IS1081, present in 6 copies in the MTB complex. For confirmation of M. bovis we used primers flanking a specific deletion in the genome of M. bovis known as region of difference 4 (RD4). The sensitivity and specificity of these PCRs has been tested on genomic DNA from MTB complex reference strains, mycobacteria other than tuberculosis (MOTT), spiked samples and on clinical material.

Results

The minimum detection limits of the IS1081 method was < I genome copy and for the RD4 PCR was 5 genome copies. Both methods can be readily adapted for quantitative PCR with the use of SYBR Green intercalating dye on the RotorGene 3000 platform (Corbett Research). Initial testing of field samples of bovine lymph nodes with visible lesions (VL, n = 109) highlighted two shortfalls of the molecular approach. Firstly, comparison of IS1081 PCR with the "gold standard" of culture showed a sensitivity of approximately 70%. The sensitivity of the RD4 PCR method was 50%. Secondly, the success rate of spoligotyping applied directly to clinical material was 51% compared with cultures. A series of further experiments indicated that the discrepancy between sensitivity of detection found with purified mycobacterial DNA and direct testing of field samples was due to limited mycobacterial DNA recovery from tissue homogenates rather than PCR inhibition. The resilient mycobacterial cell wall, the presence of tissue debris and the paucibacillary nature of some cattle VL tissue may all contribute to this observation. Any of these factors may restrict application of other more discriminant typing methods. A simple means of increasing the efficiency of mycobacterial DNA recovery was assessed using a further pool of 95 cattle VL. Following modification of the extraction protocol, detection rate with the IS1081 and RD4 methods increased to 91% and 59% respectively.

Conclusion

The IS1081 PCR is a realistic screening method for rapid identification of positive cases but the sensitivity of single copy methods, like RD4 and also of spoligotyping will need to be improved to make these applicable for direct testing of tissue extracts.     

Advancing the metabolic theory of biodiversity

A component of metabolic scaling theory has worked towards understanding the influence of metabolism over the generation and maintenance of biodiversity. Specific models within this ‘metabolic theory of biodiversity’ (MTB) have addressed temperature gradients in speciation rate and species richness, but the scope of MTB has been questioned because of empirical departures from model predictions. In this study, we first show that a generalized MTB is not inconsistent with empirical patterns and subsequently implement an eco‐evolutionary MTB which has thus far only been discussed qualitatively. More specifically, we combine a functional trait (body mass) approach and an environmental gradient (temperature) with a dynamic eco‐evolutionary model that builds on the current MTB. Our approach uniquely accounts for feedbacks between ecological interactions (size‐dependent competition and predation) and evolutionary rates (speciation and extinction). We investigate a simple example in which temperature influences mutation rate, and show that this single effect leads to dynamic temperature gradients in macroevolutionary rates and community structure. Early in community evolution, temperature strongly influences speciation and both speciation and extinction strongly influence species richness. Through time, niche structure evolves, speciation and extinction rates fall, and species richness becomes increasingly independent of temperature. However, significant temperature‐richness gradients may persist within emergent functional (trophic) groups, especially when niche breadths are wide. Thus, there is a strong signal of both history and ecological interactions on patterns of species richness across temperature gradients. More generally, the successful implementation of an eco‐evolutionary MTB opens the perspective that a process‐based MTB can continue to emerge through further development of metabolic models that are explicit in terms of functional traits and environmental gradients.     

Xpert MTB/RIF在人类免疫缺陷病毒感染/艾滋病患者中诊断结核病的价值

为探讨利福平耐药结核分枝杆菌实时荧光定量核酸扩增检测技术(Xpert Mycobacterium tuberculosis/rifampicin,Xpert MTB/RIF)在人类免疫缺陷病毒感染/艾滋病(human immunodeficiency virus infection/acquired immunodeficiency syndrome,HIV/AIDS)患者中诊断结核病的价值,本研究回顾性分析了2018年1月1日—2020年12月31日复旦大学附属公共卫生临床中心感染与免疫科收治的801例HIV/AIDS合并疑似结核病患者的临床资料。801例患者中,657例进行了Xpert MTB/RIF、外周血结核感染T细胞斑点试验(tuberculosis T cell spot test,T-SPOT.TB)、抗酸染色涂片镜检和BACTEC MGIT 960液体培养等检测。以液体培养及菌型鉴定结果作为结核病诊断的“金标准”,确诊结核病92例,Xpert MTB/RIF、T-SPOT.TB、抗酸染色涂片镜检在HIV/AIDS患者中诊断结核病(包括肺结核和肺外结核)的灵敏度分别为72.8%、55.4%和69.6%,特异度分别为96.8%、90.3%和84.4%,与“金标准”行一致性检验,Kappa值分别为0.719 (P<0.01)、0.430(P<0.01)和0.424(P<0.01)。Xpert MTB/RIF检测502份呼吸道样本,结果显示其诊断肺结核的灵敏度和特异度分别为66.7%和96.0%;在痰涂片阳性和阴性的患者中,Xpert MTB/RIF诊断肺结核的灵敏度分别为77.4%和35.2%,特异度分别为87.7%和 97.8%。采用Xpert MTB/RIF检测343份肺外标本,结果显示其诊断肺外结核的灵敏度和特异度分别为63.3%和95.2%。以上结果提示,Xpert MTB/RIF在HIV/AIDS患者中诊断结核病(包括肺结核和肺外结核)具有较高的灵敏度和特异度,诊断肺结核的灵敏度高于肺外结核,因此推荐将其作为HIV/AIDS患者疑似结核病的首选检测方法。     

microRNA在结核分枝杆菌抗细胞自噬作用中的研究进展

结核分枝杆菌(Mycobacteria tuberculosis,MTB)是结核病的致病菌,其感染机体后能在细胞内长期生存并在合适的条件下引发疾病.非氧依赖性杀伤是巨噬细胞清除MTB的重要途径,主要表现为细胞内吞体和溶酶体融合,利用细胞自噬作用清除内部细菌.相应的,MTB可利用多种方式顽强抵抗细胞自噬作用,与细胞共存从而逃避宿主免疫杀伤作用. MicroRNA(miRNA)是一种内源性非编码单链小RNA分子,其能在转录后水平沉默相关基因表达,是介导MTB与炎性细胞许多反应的重要分子.近期研究发现,MTB能够通过诱导巨噬细胞特异表达一些miRNA分子并靶向自噬相关基因,阻碍自噬发生、发展,从而实现MTB的抗细胞自噬作用.本文就miRNA在MTB抗细胞自噬中的作用及机制的研究进展作一综述.     

Comparative genome analysis of four magnetotactic bacteria reveals a complex set of group-specific genes implicated in magnetosome biomineralization and function

Magnetotactic bacteria (MTB) are a heterogeneous group of aquatic prokaryotes with a unique intracellular organelle, the magnetosome, which orients the cell along magnetic field lines. Magnetotaxis is a complex phenotype, which depends on the coordinate synthesis of magnetosomes and the ability to swim and orient along the direction caused by the interaction with the Earth's magnetic field. Although a number of putative magnetotaxis genes were recently identified within a conserved genomic magnetosome island (MAI) of several MTB, their functions have remained mostly unknown, and it was speculated that additional genes located outside the MAI might be involved in magnetosome formation and magnetotaxis. In order to identify genes specifically associated with the magnetotactic phenotype, we conducted comparisons between four sequenced magnetotactic Alphaproteobacteria including the nearly complete genome of Magnetospirillum gryphiswaldense strain MSR-1, the complete genome of Magnetospirillum magneticum strain AMB-1, the complete genome of the magnetic coccus MC-1, and the comparative-ready preliminary genome assembly of Magnetospirillum magnetotacticum strain MS-1 against an in-house database comprising 426 complete bacterial and archaeal genome sequences. A magnetobacterial core genome of about 891 genes was found shared by all four MTB. In addition to a set of approximately 152 genus-specific genes shared by the three Magnetospirillum strains, we identified 28 genes as group specific, i.e., which occur in all four analyzed MTB but exhibit no (MTB-specific genes) or only remote (MTB-related genes) similarity to any genes from nonmagnetotactic organisms and which besides various novel genes include nearly all mam and mms genes previously shown to control magnetosome formation. The MTB-specific and MTB-related genes to a large extent display synteny, partially encode previously unrecognized magnetosome membrane proteins, and are either located within (18 genes) or outside (10 genes) the MAI of M. gryphiswaldense. These genes, which represent less than 1% of the 4,268 open reading frames of the MSR-1 genome, as yet are mostly of unknown functions but are likely to be specifically involved in magnetotaxis and, thus, represent prime targets for future experimental analysis.