42 research outputs found
Extensive Genome-Wide Variability of Human Cytomegalovirus in Congenitally Infected Infants
Research has shown that RNA virus populations are highly variable, most likely due to low fidelity replication of RNA genomes. It is generally assumed that populations of DNA viruses will be less complex and show reduced variability when compared to RNA viruses. Here, we describe the use of high throughput sequencing for a genome wide study of viral populations from urine samples of neonates with congenital human cytomegalovirus (HCMV) infections. We show that HCMV intrahost genomic variability, both at the nucleotide and amino acid level, is comparable to many RNA viruses, including HIV. Within intrahost populations, we find evidence of selective sweeps that may have resulted from immune-mediated mechanisms. Similarly, genome wide, population genetic analyses suggest that positive selection has contributed to the divergence of the HCMV species from its most recent ancestor. These data provide evidence that HCMV, a virus with a large dsDNA genome, exists as a complex mixture of genome types in humans and offer insights into the evolution of the virus
Rapid intrahost evolution of human cytomegalovirus is shaped by demography and positive selection
Populations of human cytomegalovirus (HCMV), a large DNA virus, are highly polymorphic in patient samples, which may allow for rapid evolution within human hosts. To understand HCMV evolution, longitudinally sampled genomic populations from the urine and plasma of 5 infants with symptomatic congenital HCMV infection were analyzed. Temporal and compartmental variability of viral populations were quantified using high throughput sequencing and population genetics approaches. HCMV populations were generally stable over time, with ~88% of SNPs displaying similar frequencies. However, samples collected from plasma and urine of the same patient at the same time were highly differentiated with approximately 1700 consensus sequence SNPs (1.2% of the genome) identified between compartments. This inter-compartment differentiation was comparable to the differentiation observed in unrelated hosts. Models of demography (i.e., changes in population size and structure) and positive selection were evaluated to explain the observed patterns of variation. Evidence for strong bottlenecks (\u3e90% reduction in viral population size) was consistent among all patients. From the timing of the bottlenecks, we conclude that fetal infection occurred between 13-18 weeks gestational age in patients analyzed, while colonization of the urine compartment followed roughly 2 months later. The timing of these bottlenecks is consistent with the clinical histories of congenital HCMV infections. We next inferred that positive selection plays a small but measurable role in viral evolution within a single compartment. However, positive selection appears to be a strong and pervasive driver of evolution associated with compartmentalization, affecting \u3e/= 34 of the 167 open reading frames (~20%) of the genome. This work offers the most detailed map of HCMV in vivo evolution to date and provides evidence that viral populations can be stable or rapidly differentiate, depending on host environment. The application of population genetic methods to these data provides clinically useful information, such as the timing of infection and compartment colonization
Limits and patterns of cytomegalovirus genomic diversity in humans
Human cytomegalovirus (HCMV) exhibits surprisingly high genomic diversity during natural infection although little is known about the limits or patterns of HCMV diversity among humans. To address this deficiency, we analyzed genomic diversity among congenitally infected infants. We show that there is an upper limit to HCMV genomic diversity in these patient samples, with approximately 25% of the genome being devoid of polymorphisms. These low diversity regions were distributed across 26 loci that were preferentially located in DNA-processing genes. Furthermore, by developing, to our knowledge, the first genome-wide mutation and recombination rate maps for HCMV, we show that genomic diversity is positively correlated with these two rates. In contrast, median levels of viral genomic diversity did not vary between putatively single or mixed strain infections. We also provide evidence that HCMV populations isolated from vascular compartments of hosts from different continents are genetically similar and that polymorphisms in glycoproteins and regulatory proteins are enriched in these viral populations. This analysis provides the most highly detailed map of HCMV genomic diversity in human hosts to date and informs our understanding of the distribution of HCMV genomic diversity within human hosts
Trigger study for D0 upgrade
Includes bibliographical references (pages 75-76)A study of rates for Level 1 (LI) and Level 2 (L2) electromagnetic (EM) and hadronic (HAD) triggers for the upgraded D0 detector is presented. These rates are measured for three different Tevatron running conditions: (a) number of bunches = 6, crossing time= 3.5[mu]sec; (b) number of bunches=36, crossing time = 396 ns; (c) number of bunches=108, crossing time = 132 ns. The rates axe estimated as a function of luminosity, probability of more than one interaction in a crossing and as a function of the number of interactions in a crossing. The estimated trigger rates are compared with the Run I trigger rates. A trigger menu has been designed and the rates for the triggers in the menu are estimated. Studies were also performed including the silicon tracker in the trigger decision (STT), which resulted in a background rate reduction.M.S. (Master of Science
Influence of Sub-Inhibitory Dosage of Cefotaxime on Multidrug Resistant <i>Staphylococcus haemolyticus</i> Isolated from Sick Neonatal Care Unit
Staphylococcus haemolyticus has emerged to be a frequently encountered late-onset sepsis pathogen among newborn infants. Critical care of neonates involves substantial usage of antibiotics and these pathogens are often exposed to sub-optimal doses of antibiotics which can augment maintenance of selection determinants and a range of physiological effects, prime among them being biofilm formation. Therefore, in this study, the outcome of a sub-inhibitory dosage of a commonly prescribed third-generation antibiotic, cefotaxime (CTX), on multidrug resistant (MDR) S. haemolyticus, was investigated. A total of 19 CTX-resistant, MDR and 5 CTX-susceptible strains isolated from neonates were included. Biofilm-forming abilities of S. haemolyticus isolates in the presence of sub-optimal CTX (30 μg/mL) were determined by crystal violet assays and extracellular DNA (eDNA) quantitation. CTX was found to significantly enhance biofilm production among the non-susceptible isolates (p-valueWilcoxintest—0.000008) with an increase in eDNA levels (p-valueWilcoxintest—0.000004). Further, in the absence of antibiotic selection in vitro, populations of MDR isolates, JNM56C1 and JNM60C2 remained antibiotic non-susceptible after >500 generations of growth. These findings demonstrate that sub-optimal concentration of CTX induces biofilm formation and short-term non-exposure to antibiotics does not alter non-susceptibility among S. haemolyticus isolates under the tested conditions
IL-10/IL-6 ratio from nasal & oral swab samples, acts as an inflammatory indicator for COVID-19 patients infected with the delta variant
Background: Hyper-inflammatory immune response of SARS-CoV-2 is often characterized by the release of multiple pro-inflammatory cytokines with an impact on the expression of numerous other interleukins (ILs). However, from oral and nasal swab samples the specific quantitative association of the different IL-markers with the disease progression and its relationship with the status of vaccination remains unclear. Materials and methods: Patients’ combined oral and nasal swab samples were collected from both non-vaccinated and double-vaccinated individuals with high (Ct value  30) viral loads, along with uninfected donors. None of the patients were critically ill, or needed ICU support. The expression of different cytokines (IL6, IL10, IL1B, IFNG) and mucin (MUC5AC, MUC1) markers were assessed between different groups by qRT-PCR. The important cytokine markers differentiating between vaccinated and non-vaccinated patients were identified by PCA. Conclusion: IL6 expression was higher in non-vaccinated COVID-19 patients infected with delta-variant irrespective of their viral-load compared to uninfected individuals. However, in double-vaccinated patients, only in high viral-load patients (Ct value  30. IL1B, and IFNG expression remained unaltered in uninfected and infected individuals. However, MUC5AC expression was lower in non-vaccinated patients with Ct value < 25 compared to control group. Our study unveiled that IL10/IL6 ratio can be used as a biomarker for COVID-19 patients upon proper establishment of it in a clinical setting
Some novel insights on HPV16 related cervical cancer pathogenesis based on analyses of LCR methylation, viral load, E7 and E2/E4 expressions.
This study was undertaken to decipher the interdependent roles of (i) methylation within E2 binding site I and II (E2BS-I/II) and replication origin (nt 7862) in the long control region (LCR), (ii) expression of viral oncogene E7, (iii) expression of the transcript (E7-E1/E4) that encodes E2 repressor protein and (iv) viral load, in human papillomavirus 16 (HPV16) related cervical cancer (CaCx) pathogenesis. The results revealed over-representation (p<0.001) of methylation at nucleotide 58 of E2BS-I among E2-intact CaCx cases compared to E2-disrupted cases. Bisulphite sequencing of LCR revealed overrepresentation of methylation at nucleotide 58 or other CpGs in E2BS-I/II, among E2-intact cases than E2-disrupted cases and lack of methylation at replication origin in case of both. The viral transcript (E7-E1/E4) that produces the repressor E2 was analyzed by APOT (amplification of papillomavirus oncogenic transcript)-coupled-quantitative-RT-PCR (of E7 and E4 genes) to distinguish episomal (pure or concomitant with integrated) from purely integrated viral genomes based on the ratio, E7 C(T)/E4 C(T). Relative quantification based on comparative C(T) (threshold cycle) method revealed 75.087 folds higher E7 mRNA expression in episomal cases over purely integrated cases. Viral load and E2 gene copy numbers were negatively correlated with E7 C(T) (p = 0.007) and E2 C(T) (p<0.0001), respectively, each normalized with ACTB C(T), among episomal cases only. The k-means clustering analysis considering E7 C(T) from APOT-coupled-quantitative-RT-PCR assay, in conjunction with viral load, revealed immense heterogeneity among the HPV16 positive CaCx cases portraying integrated viral genomes. The findings provide novel insights into HPV16 related CaCx pathogenesis and highlight that CaCx cases that harbour episomal HPV16 genomes with intact E2 are likely to be distinct biologically, from the purely integrated viral genomes in terms of host genes and/or pathways involved in cervical carcinogenesis
HCMV populations show patterns of both stability and differentiation.
<p>Host-matched specimens were paired either across time or compartments. The frequency of SNPs was tracked across the pairings. The trajectories show that HCMV populations can be stable, with the majority of SNPs remaining at nearly the same frequencies over time. A minority of SNPs rapidly change frequencies during the course of sampling, which is most apparent in panels C and G. Panels A–D: trajectories of all SNPs in the populations. Panels E–H: trajectories of only the consensus sequence SNPs identified between the pairings. Panels A and E: B103 longitudinal urine populations. Panels B and F: B103 longitudinal plasma populations. Panels C and G: B103 one week plasma and urine populations. Panels D and H: MS1 longitudinal urine populations. See supplemental <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003735#pgen-1003735-g002" target="_blank">Figure 2</a> for a complete representation of all pairings used in this study.</p