Polymerase Chain Reaction Approach Research Articles

Comparative Analysis of Gene Expression at Sea Level and High Altitude: A Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) Approach

Comparative Analysis of Gene Expression at Sea Level and High Altitude: A Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) Approach

Spatial mRNA expression patterns of orexin receptors in the dorsal hippocampus.

Orexins are wake-promoting neuropeptides that originate from hypothalamic neurons projecting to widespread brain areas throughout the central nervous system. They modulate various physiological functions via their orexin 1 (OXR1) and 2 (OXR2) receptors, including sleep-wake rhythm but also cognitive functions such as memory formation. Here, we provide a detailed analysis of OXR1 and OXR2 mRNA expression profiles in the dorsal hippocampus as a key region for memory formation, using RNAscope multiplex in situ hybridization. Interconnected subareas relevant for cognition and memory such as the medial prefrontal cortex and the nucleus reuniens of the thalamus were assessed as well. Both receptor types display distinct profiles, with the highest percentage of OXR1 mRNA-positive cells in the hilus of the dentate gyrus. Here, the content of OXR1 mRNA per cell was slightly modulated at selected time points over a 12h light/ 12 dark light phase. Using RNAScope and quantitative polymerase chain reaction approaches, we began to address a cell-type specific expression of OXR1 in hilar GABAergic interneurons. The distinct expression profiles of both receptor subtypes within hippocampal subareas and circuits provide an interesting basis for future interventional studies on orexin receptor function in spatial and contextual memory.

Exploiting β-Lactams-Induced Lysis and DNA Fragmentation for Rapid Molecular Antimicrobial Susceptibility Testing of Neisseria Gonorrhoeae via Dual-Digital PCR.

The evolution of antimicrobial resistance (AMR) presents substantial challenges to global medical health systems. Neisseria gonorrhoeae (N. gonorrhoeae), in particular, has developed resistance to all currently available antimicrobials. Addressing this issue necessitates not only discovering new antimicrobials but also deepening the understanding of bacterial responses to these agents, which can lead to new markers for rapid antimicrobial susceptibility testing (AST). Such advancements can enhance treatment outcomes and promote antimicrobial stewardship. In this study, single-cell techniques, including live-cell imaging, flow cytometry, and digital polymerase chain reaction (PCR) are utilized, to investigate the lysis dynamics and molecular features of N. gonorrhoeae upon exposure to β-lactam antimicrobials. Distinct patterns of bacterial lysis and DNA fragmentation are uncovered in susceptible strains. Leveraging these discoveries, A microfluidic dual-digital PCR approach that combines single-cell and single-molecule analyses, facilitating rapid and efficient phenotypic molecular AST for N. gonorrhoeae against β-lactams is developed. This proof-of-concept validation demonstrates the effectiveness of the method in accessing antimicrobial susceptibility across a range of bacterial strains, contributing valuable insights for advancing the battle against AMR.

Real‐Time Nanoscale Bacterial Detection Utilizing a 1DZnO Optical Nanobiosensor

One‐dimensional zinc oxide nanomaterials (1DZnO) have emerged as promising, cost‐effective nanoplatforms with adjustable properties suitable for electrochemical and optical biosensing applications. In this work, modifications in the inherent photoluminescent response of 1DZnO are harnessed to develop a novel immunosensor tailored for detecting enteropathogenic Escherichia coli. This nanobiosensor demonstrates a modulation in photoluminescence signal, effectively responsive to analyte concentrations ranging from 1 × 102 to 1 × 108 CFU mL−1, with direct visualization of targeted bacterial cells over 1DZnO structures through scanning electron microscopy. The conceptualization of this nanobiosensor is focused on a real‐time contact strategy that can significantly reduce processing and response times for pathogen detection, prospected for emergency scenarios. With this aim, the detection process unfolds in real time, with a mere 5–10 s interaction time, corroborated by the standard polymerase chain reaction approach. This synergistic validation underscores the reliability and precision of the developed biosensor. Notably, the utility of 1DZnO nanoplatforms extends beyond the realm of enteropathogenic E. coli, as the biosensing performance exhibited here holds promise for analogous applications involving other medically pertinent pathogens. This study paves the way for the broader implementation of 1DZnO‐based biosensors in medical diagnostics, offering rapid, sensitive, and real‐time detection capabilities.

NEW PRIMER DESIGN of MULTIPLEX POLYMERASE CHAIN REACTION (PCR) for DETECTION of Escherichia Coli and Salmonella Enterica in FOOD SAMPLE

Background: Multiplex PCR techniques are used to detect multiple pathogens at the same time simultaneously. In order to achieve the specificity and sensitivity of detection, it is important to optimize the multiplex PCR method properly. Developing suitable primers and optimizing PCR temperature to boost particular genes from pathogens are key factors for this optimization. Methods: For the simultaneous detection of Escherichia coli and Salmonella enterica in food samples, this research aims to develop a set of primers for multiplex polymerase chain reaction (PCR). Using Primer-BLAST software, the study utilizes specific primer designs for the phoA gene (Eschericia coli) and invA gene (Salmonella enterica). DNA isolation has confirmed successful extraction from the two bacterial samples. PCR was performed under different conditions, including Singleplex and Multiplex PCR, using two annealing temperatures of 53oC and 50oC. Results: The results showed that this method can effectively amplify target genes and indicate their specificity and reliability at both temperature levels. Given these results, it has successfully conducted multiplex PCR using the built primer pairs. Both annealing temperatures of 50oC and 53oC can be used to perform multiplex PCR to detect E. coli and Salmonella enterica in one PCR reaction. Conclusion: Through this research, we have created a new set of Multiplex PCR Primers and an optimized multiplex PCR technique for the simultaneous detection of E coli and Salmonella enterica in food samples. The rapid and simultaneous screening of E. coli and S. enterica, which contributes to improved food safety measures and pathogen detection in the food industry, is promising with this optimized PCR approach.

Molecular detection and identification of Enteromonas species in human and animal hosts using polymerase chain reaction and DNA sequencing

Enteromonas hominis, a human intestinal protozoan parasite of the diplomonad group, has been overlooked because of its commensal features; therefore, molecular studies on this parasite are limited. To address this gap, we designed a molecular screening protocol using polymerase chain reaction (PCR) and DNA sequencing targeting the 18S small subunit ribosomal RNA gene and applied this screening method to the molecular epidemiological analysis of Enteromonas spp. in humans and various livestock. We validated our methodology using stool samples collected from 215 humans and 270 animal hosts (buffaloes, pigs, dogs, goats, horses, rodents, chickens, and ducks) during an annual epidemiological investigation conducted from 2013 to 2016 on Sumba Island, Indonesia. The overall prevalences of Enteromonas spp. were 33.9 % (n = 73/215) in humans and 25.2 % (n = 68/270) in mammals and avians. The positive predictive value of this PCR method for Enteromonas spp., as evaluated through sequencing, was 90.1 % in human samples and 58.1 % in non-human samples (particularly low, 11.4 % in rodents). Although the specificity of the PCR approach may not be perfect, in combination with DNA sequencing, it was effective in detecting and identifying a partial sequence (1458 bp) of the target gene region in Enteromonas species.

Development of a digital droplet PCR approach for the quantification of soil micro-organisms involved in atmospheric CO2 fixation.

Carbon-fixing micro-organisms (CFMs) play a pivotal role in soil carbon cycling, contributing to carbon uptake and sequestration through various metabolic pathways. Despite their importance, accurately quantifying the absolute abundance of these micro-organisms in soils has been challenging. This study used a digital droplet polymerase chain reaction (ddPCR) approach to measure the abundance of key and emerging CFMs pathways in fen and bog soils at different depths, ranging from 0 to 15 cm. We targeted total prokaryotes, oxygenic phototrophs, aerobic anoxygenic phototrophic bacteria and chemoautotrophs, optimizing the conditions to achieve absolute quantification of these genes. Our results revealed that oxygenic phototrophs were the most abundant CFMs, making up 15% of the total prokaryotic abundance. They were followed by chemoautotrophs at 10% and aerobic anoxygenic phototrophic bacteria at 9%. We observed higher gene concentrations in fen than in bog. There were also variations in depth, which differed between fen and bog for all genes. Our findings underscore the abundance of oxygenic phototrophs and chemoautotrophs in peatlands, challenging previous estimates that relied solely on oxygenic phototrophs for microbial carbon dioxide fixation assessments. Incorporating absolute gene quantification is essential for a comprehensive understanding of microbial contributions to soil processes. This approach sheds light on the complex mechanisms of soil functioning in peatlands.

Unraveling the Role of BRCA1 variants in Dysregulation of Transcriptional and Post-Transcriptional Mechanisms in Breast Cancer.

To screen BRCA1 gene variants and predict potential role of the identified variants in breast cancer. This case-control study included two hundred and fifty breast cancer patients and equal healthy individuals from the Federal Breast Cancer Screening Centre, Pakistan Institute of Medical Sciences, Islamabad from March 2021- January 2023. Demographic data was collected through questionnaires and clinical data was assessed using mammograms, ultrasound, histopathology and immunohistochemistry reports. Polymerase chain reaction and Sanger sequencing approach were used to detect variants in BRCA1 gene. In-silico analyses were carried out to predict mutation effect, miRNA binding site alterations and change in mRNA structure and stability. Invasive ductal carcinoma was the most prevalent type of breast cancer. Old age [OR: 2.8149 (1.5995 to 4.9538) p value = 0.0003] and family history [OR: 4.3186 (1.7336 to 10.7581) p value = 0.001] were significant breast cancer risk. Six variants were identified. Two novel missense variants, Chr17:43082553A>T and Chr17:43093710A>T were predicted deleterious as these disrupted interaction with PALB2 and importin alpha's NLS2 site, respectively. In silico analysis predicted the loss of hsa-miR-1179 binding site due to variant Chr17:43093220T>C. Moreover, four variants were predicted to affect the mRNA structure and stability. Two novel variants were predicted to be pathogenic. In-silico analysis predicted the loss of miRNA binding site along with change in mRNA secondary structure plus stability, possible mechanisms for oncogenesis. Further, expressional studies are required to confirm BRCA1 gene dysregulation in breast cancer due to these variants.

Three steps towards comparability and standardization among molecular methods for characterizing insect communities.

Molecular methods are currently some of the best-suited technologies for implementation in insect monitoring. However, the field is developing rapidly and lacks agreement on methodology or community standards. To apply DNA-based methods in large-scale monitoring, and to gain insight across commensurate data, we need easy-to-implement standards that improve data comparability. Here, we provide three recommendations for how to improve and harmonize efforts in biodiversity assessment and monitoring via metabarcoding: (i) we should adopt the use of synthetic spike-ins, which will act as positive controls and internal standards; (ii) we should consider using several markers through a multiplex polymerase chain reaction (PCR) approach; and (iii) we should commit to the publication and transparency of all protocol-associated metadata in a standardized fashion. For (i), we provide a ready-to-use recipe for synthetic cytochrome c oxidase spike-ins, which enable between-sample comparisons. For (ii), we propose two gene regions for the implementation of multiplex PCR approaches, thereby achieving a more comprehensive community description. For (iii), we offer guidelines for transparent and unified reporting of field, wet-laboratory and dry-laboratory procedures, as a key to making comparisons between studies. Together, we feel that these three advances will result in joint quality and calibration standards rather than the current laboratory-specific proof of concepts. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

Discovery and genome-wide characterization of a novel miniature inverted repeat transposable element reveal genome-specific distribution in Glycine.

Miniature inverted repeat transposable elements (MITEs) are a dynamic component responsible for genome evolution. Tourist MITEs are derived from and mobilized by elements from the harbinger superfamily. In this study, a novel family of Tourist-like MITE was characterized in wild soybean species Glycine falcata. The new GftoMITE1 was initially discovered as an insertional polymorphism of the centromere-specific histone H3 (CenH3) gene in G. falcata. Using polymerase chain reaction, cloning and sequencing approaches, we showed a high number of copies of the GftoMITE1 family. Extensive bioinformatic analyses revealed the genome-level distribution and locus-specific mapping of GftoMITE1 members in Glycine species. Our results provide the first extensive characterization of the GftoMITE1 family and contribute to the understanding of the evolution of MITEs in the Glycine genus. Genome-specific GftoMITE1 was prominent in perennial wild soybean species, but not in annual cultivated soybean (Glycine max) or its progenitor (Glycine soja). We discuss that the GftoMITE1 family reveals a single rapid amplification in G. falcata and could have potential implications for gene regulation and soybean breeding as an efficient genetic marker for germplasm utilization in the future.

Strong association between angiotensin I-converting enzyme insertion/deletion polymorphism and unexplained recurrent spontaneous abortion of Sudanese women: a case-control study

This study investigated the link between angiotensin I-converting enzyme insertion/deletion (ACE I/D) polymorphism and unexplained spontaneous abortion. This retrospective analytical case-control was conducted at the Omdurman Maternity Hospital in Sudan. The current study contained 230 individuals, including 119 cases (women who had at least three abortions) of unknown cause and 119 controls (healthy women who had at least two full-term deliveries without spontaneous abortion). Patients and controls were provided five ml of ethylenediaminetetraacetic acid blood and answered questionnaires about their demographics, personal lives, and family histories. ACE I/D polymorphisms were assessed using a conventional polymerase chain reaction approach after total genomic DNA was isolated from blood leukocytes using the GF-1 blood DNA extraction kit. Data was analyzed using the Statistical Package for the Social Sciences version 24. ACE I/D polymorphism is strongly linked to unexplained spontaneous abortion, and women with the I/D and D/D genotypes are more likely to have it than those with the I/I genotype. The current study reveals that ACEI/D polymorphism increases pregnancy problems. Sudanese women may have spontaneous abortions due to the ACE I/D polymorphism.

Detection of Bartonella schoenbuchensis (sub)species DNA in different louse fly species in Saxony, Germany: The proof of multiple PCR analysis necessity in case of ruminant-associated bartonellae determination.

Hippoboscid flies are bloodsucking arthropods that can transmit pathogenic microorganisms and are therefore potential vectors for pathogens such as Bartonella spp. These Gram-negative bacteria can cause mild-to-severe clinical signs in humans and animals; therefore, monitoring Bartonella spp. prevalence in louse fly populations appears to be a useful prerequisite for zoonotic risk assessment. Using convenience sampling, we collected 103 adult louse flies from four ked species (Lipoptena cervi, n=22; Lipoptena fortisetosa, n=61; Melophagus ovinus, n=12; Hippobosca equina, n=8) and the pupae of M. ovinus (n= 10) in the federal state of Saxony, Germany. All the samples were screened by polymerase chain reaction (PCR) for Bartonella spp. DNA, targeting the citrate synthase gene (gltA). Subsequently, PCRs targeting five more genes (16S, ftsZ, nuoG, ribC and rpoB) were performed for representatives of revealed gltA genotypes, and all the PCR products were sequenced to identify the Bartonella (sub)species accurately. The overall detection rates for Bartonella spp. were 100.0%, 59.1%, 24.6% and 75.0% in M. ovinus, L. cervi, L. fortisetosa and H. equina, respectively. All the identified bartonellae belong to the Bartonella schoenbuchensis complex. Our data support the proposed reclassification of the (sub)species status of this group, and thus we conclude that several genotypes of B. schoenbuchensis were detected, including Bartonella schoenbuchensis subsp. melophagi and Bartonella schoenbuchensis subsp. schoenbuchensis, both of which have previously validated zoonotic potential. The extensive PCR analysis revealed the necessity of multiple PCR approach for proper identification of the ruminant-associated bartonellae.

Methylation Status of cAMP-responsive Element Modulator (CREM) Gene in Infertile Men and Its Association with Sperm Parameters.

The methylation pattern of non-imprinting genes was little studied, although it is widely known that the abnormal methylation levels of imprinting genes are associated with different forms of male infertility. The purpose of this research was to assess the CREM gene's methylation status and seminal characteristics in infertile individuals who were potential intracytoplasmic sperm injection (ICSI) candidates. A total of 45 semen samples (15 normospermia, 15 asthenospermia, and 15 oligoasthenoteratospermia) were examined. Using aniline blue (AB) staining, we carried out conventional semen analysis, chromatin quality, and sperm maturity testing. DNA was taken from semen samples, and all isolated DNA was assessed using Nanodrop and gel electrophoresis. A quantitative methylation-specific polymerase chain reaction (Q-MSP) approach was used to quantify the methylation at the DMRs of the CREM gene. According to our findings, sperm count (P=0.012), concentration (P= 0.019), motility (P=0.006), progression (P=0.006), and normal morphology (P=0.004) were all inversely correlated with abnormal sperm chromatin condensation. Additionally, we noted that the methylation level of the CREM gene was considerably more significant in the oligoasthenoteratospermia group compared to the asthenospermia and normospermia groups (P<0.05). Additionally, sperm count (P=0.043), progression (P=0.026), and normal morphology (P=0.024) were all inversely linked with CREM methylation. Overall, the abnormal CREM methylation patterns have a negative impact on sperm parameters. Additionally, the CREM gene's DNA methylation status may serve as an epigenetic indicator of male infertility.

Glutathione S-transferase M1, T1, and P1 polymorphisms and periodontitis in a Caucasian population: a case-control study

BackgroundGlutathione S-transferases (GSTs) play important roles in protecting cells against oxidative stress and toxic chemicals. This study aimed to investigate the distribution of GSTM1, GSTT1, and GSTP1 variants and their roles in periodontitis susceptibility in a Caucasian population.MethodsWe analyzed 406 participants, including 204 healthy controls and 203 periodontitis patients. A multiplex polymerase chain reaction (PCR) approach was used to analyze GSTM1 and GSTT1 loci. GSTP1 variants were detected by PCR-haplotyping method in a subgroup of participants (N = 350). Chi-square or Fisher´s exact tests were used to compare genotypic and allelic differences. The Bonferroni method was applied to correct for multiple comparisons (pcorr).ResultsThe GSTM1 genotype distribution did not differ significantly between controls and periodontitis patients (p = 0.44). Additionally, the wild/null genotypes of GSTT1, Ile105Val and Ala114Val frequencies of GSTP1 were not significantly different between the two groups after correction for multiple comparisons (p = 0.05, p = 0.55, p = 0.02, pcorr>0.05, respectively). The GSTM1 and GSTP1 Ile105Val gene variants were similarly distributed between non-smokers and smokers in both groups (p = 0.38, p = 0.20, and p = 0.14, p = 0.35, respectively). However, the wild genotype of the GSTT1 and Ala114Ala variant of the GSTP1 genes were present more frequently in non-smoking periodontitis patients than in non-smoking controls (p = 0.03, pcorr>0.05, and p = 0.009, pcorr>0.05, respectively) although their frequencies did not differ between smoking periodontitis patients and smoking controls (p = 0.23, p = 0.68, respectively).ConclusionsThis study in a Czech Caucasian population did not confirm a highly significant association between GST gene variants and susceptibility to periodontitis, as previously reported by Arshad and colleagues in Pakistanis. However, a weak relationship between GSTT1 and GSTP1 rs1138272 polymorphisms and periodontitis in non-smokers was observed.

Development of a reverse transcriptase digital droplet polymerase chain reaction-based approach for SARS-CoV-2 variant surveillance in wastewater.

An urgent need for effective surveillance strategies arose due to the global emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although vaccines and antivirals are available, concerns persist about the evolution of new variants with potentially increased infectivity, transmissibility, and immune evasion. Therefore, variant monitoring is crucial for public health decision-making. Wastewater-based surveillance has proven to be an effective tool to monitor SARS-CoV-2 variants within populations. Specific SARS-CoV-2 variants are detected and quantified in wastewater in this study using a reverse transcriptase digital droplet polymerase chain reaction (RT-ddPCR) approach. The 11 designed assays were first validated in silico using a substantial dataset of high-quality SARS-CoV-2 genomes to ensure comprehensive variant coverage. The assessment of the sensitivity and specificity with reference material showed the capability of the developed assays to reliably identify target mutations while minimizing false positives and false negatives. The applicability of the assays was evaluated using wastewater samples from a wastewater treatment plant in Ghent, Belgium. The quantification of the specific mutations linked to the variants of concern present in these samples was calculated using these assays based on the detection of single mutations, which confirms their use for real-world variant surveillance. In conclusion, this study provides an adaptable protocol to monitor SARS-CoV-2 variants in wastewater with high sensitivity and specificity. Its potential for broader application in other viral surveillance contexts highlights its added value for rapid response to emerging infectious diseases. PRACTITIONER POINTS: Robust RT-ddPCR methodology for specific SARS-CoV-2 variants of concern detection in wastewater. Rigorous validation that demonstrates high sensitivity and specificity. Demonstration of real-world applicability using wastewater samples. Valuable tool for rapid response to emerging infectious diseases.

Hsa_circ_0000190 Promotes NSCLC Cell Resistance to Cisplatin via the Modulation of the miR-1253/IL-6 Axis.

This study explored the mechanistic basis for nonsmall cell lung cancer (NSCLC) cisplatin (DDP) treatment resistance in an effort to define effective approaches to abrogating the emergence of such chemoresistance. Analyses of NSCLC expression of hsa_circ_0000190, miR-1253, and interleukin 6 (IL-6) were conducted via a quantitative real-time polymerase chain reaction (qPCR) approach, while the ability of these tumor cells to resist DDP treatment was evaluated with a CCK-8 assay. Interactions between different RNA molecules were assessed using both RNA immunoprecipitation and dual-luciferase reporter assays. NSCLC cell lines and tissues resistant to DDP were found to express higher levels of hsa_circ_0000190, and knocking down this circRNA in NSCLC cells was associated with greater sensitivity to DDP exposure. Further research identified miR-1253 as a hsa_circ_0000190 target, with the ability of hsa_circ_0000190 knockdown to restore DDP sensitivity being largely attributable to the ability of this circRNA to suppress miR-1253 activity. IL-6 was identified as a major miR-1253 target in this context, with miR-1253 regulating chemoresistance in NSCLC cells in part by preventing IL-6 upregulation. Together, these data suggest that hsa_circ_0000190 can promote DDP chemoresistance in NSCLC cells through its ability to modulate miR-1253/IL-6 axis activity, highlighting a novel pathway that can be targeted in an effort to guide the more effective diagnosis and management of DDP-resistant tumors.

Prevalence of Influenza Viruses A and B, Adenovirus, Respiratory Syncytial Virus, and Human Metapneumonia Viruses among Children with Acute Respiratory Tract Infection.

Acute respiratory tract infection (ARTI) is a significant cause of morbidity and mortality among children worldwide. The majority of acute respiratory infections in children are caused by viruses, with respiratory syncytial virus (RSV) being the most frequently encountered. Other important viral pathogens include human metapneumovirus, human coronaviruses, adenovirus, and influenza. These infections can lead to complications such as bronchitis and pneumonia. So, this study aimed to evaluate the prevalence of influenza viruses A and B, adenovirus, respiratory syncytial virus (RSV), and human metapneumovirus (HMPV) in children with ARTI. The molecular diagnostic of polymerase chain reaction approach was used to detect influenza (A and B), metapneumovirus, respiratory syncytial virus (RSV), and adenovirus in respiratory samples of children with acute respiratory infection hospitalization in a teaching hospital of the Shiraz University of Medical Sciences in January 2016-March 2017. Of the 340 patients examined, 208 (61.20%) were male and the median age was 3.13 ± 2.38 years. Respiratory viruses were found in 179 (52.64%) patients. The male-to-female ratio was 1.63 : 1 in patients who were viral positive. Detection rates for influenza A, adenovirus, influenza B, RSV, and HMPV were 28.23%, 24.70%, 8.52%, 3.23%, and 2.64%, respectively, and coinfections were detected in 24.02%. The most common combination of two-virus coinfections was IFVA/AdV, followed by IFVB/AdV, AdV, IFVB/IFVA, RSV/IFVA, HMPV/AdV, RSV/AdV, and HMPV/IFVA. The high prevalence of respiratory viruses in children hospitalized with ARTI suggests that viral infection may play a role in disease pathogenesis. This should be confirmed through the conduct of case-control studies and may inform the role of vaccination to prevent respiratory viral infections.

Single-tube protocol for culture-independent spoligotyping of Mycobacterium tuberculosis based on MeltArray.

Spacer oligonucleotide typing (spoligotyping), the first-line genotyping assay for Mycobacterium tuberculosis (MTB), plays a fundamental role in the investigation of its epidemiology and evolution. In this study, we established a single-tube spoligotyping assay using MeltArray, a highly multiplex polymerase chain reaction (PCR) approach that runs on a real-time PCR thermocycler. The MeltArray protocol included an internal positive control, gyrB, to indicate the abundance of MTB via the quantification cycle and 43 spacers to identify the spoligotype via melting curve analysis. The entire protocol was completed in a single step within 2.5 hours. The lowest detectable copy number for the tested strains was 20 copies/reaction and thus sufficient for analyzing both culture and sputum samples. We conclude that MeltArray-based spoligotyping could be used immediately in low- and middle-income countries with a high tuberculosis burden, given its easy access, improved throughput, and potential applicability to clinical samples.

An efficient screening system of disease-resistant genes from wild apple, Malus sieversii in response to Valsa mali pathogenic fungus

For molecular breeding of future apples, wild apple (Malus sieversii), the primary progenitor of domesticated apples, provides abundant genetic diversity and disease-resistance traits. Valsa canker (caused by the fungal pathogen Valsa mali) poses a major threat to wild apple population as well as to cultivated apple production in China. In the present study, we developed an efficient system for screening disease-resistant genes of M. sieversii in response to V. mali. An optimal agrobacterium-mediated transient transformation of M. sieversii was first used to manipulate in situ the expression of candidate genes. After that, the pathogen V. mali was inoculated on transformed leaves and stems, and 3 additional methods for slower disease courses were developed for V. mali inoculation. To identify the resistant genes, a series of experiments were performed including morphological (incidence, lesion area/length, fungal biomass), physiological (H2O2 content, malondialdehyde content), and molecular (Real-time quantitative Polymerase Chain Reaction) approaches. Using the optimized system, we identified two transcription factors with high resistance to V. mali, MsbHLH41 and MsEIL3. Furthermore, 35 and 45 downstream genes of MsbHLH41 and MsEIL3 were identified by screening the V. mali response gene database in M. sieversii, respectively. Overall, these results indicate that the disease-resistant gene screening system has a wide range of applications for identifying resistant genes and exploring their immune regulatory networks.

Prevalence and risk factors of oral human papillomavirus infection among 4212 healthy adults in Hebei, China

BackgroundHuman papillomavirus (HPV) infection is an essential cause of oropharyngeal squamous cell carcinoma that is increasing in incidence worldwide. However, little is known about the epidemiology of oral HPV infection among healthy adults in China.MethodsA study in northern China was conducted in 2021 as baseline data of Diverse Life-Course Cohort (DLCC). Residents who aged above 20 were eligible to participate. Oral swab specimens and questionnaires were collected from 4226 participants. HPV DNA in oral exfoliated cells was tested by Nested Polymerase Chain Reaction approach and sequencing. Univariate and multivariate analyses were performed to assess the associations between exposure factors and oral HPV infection.ResultsOverall prevalence of oral HPV infection was 4.08% (95%CI, 3.69%-4.68%). The most prevalent HPV type detected was HPV-81 (1.35%; 95% CI, 1.00%–1.70%), followed by HPV-16 (0.64%; 95% CI, 0.40%–0.88%). Oral HPV infection presented a bimodal pattern with respect to age in male and female participants. Oral HPV prevalence of male participants was significantly higher than prevalence of female participants (5.0% versus 3.6%, P = 0.041). Prevalence of oral HPV was higher among current smokers (OR = 1.59; 95% CI, 1.11–2.29; P = 0.039) and current drinkers (OR = 1.60; 95% CI, 1.14–2.25; P = 0.023). Current alcohol consumption was independently associated with oral HPV infection (OR = 1.74; 95% CI, 1.22–2.50; P = 0.010).ConclusionsAmong healthy adults aged above 20 in Hebei, China, the prevalence of high-risk HPV infection was 1.92% (95%CI, 1.51%-2.34%). Oral HPV prevalence was independently associated with alcohol consumption. More tailored prevention strategies are needed to prevent oral HPV infection through smoking cessation, reduction of alcohol consumption, and HPV vaccination.