Open access
Brief Report
1 January 2014

Plasmid Copy Number and Disease Severity in Naturally Occurring Ocular Chlamydia trachomatis Infection

ABSTRACT

The Chlamydia trachomatis plasmid is a virulence factor. Plasmid copy number, C. trachomatis load and disease severity were assessed in a treatment-naive population where trachoma is hyperendemic. By using droplet digital PCR, plasmid copy number was found to be stable (median, 5.34 [range, 1 to 18]) and there were no associations with C. trachomatis load or disease severity.

TEXT

Trachoma is caused by infection with ocular strains of Chlamydia trachomatis. The 7.5-kb C. trachomatis plasmid has been shown to function as a virulence factor in animal models (1, 2). Phenotypic differences exist between plasmid-cured and wild-type C. trachomatis strains with respect to infectivity, glycogen accumulation, induction of inflammation, and activation of Toll-like-receptor pathways (3, 4). Plasmid deletion mutagenesis studies showed that deletion of the plasmid-borne pgp4 gene results in an in vitro phenotype identical to that of a plasmid-free strain (5). This supports bacterial transcriptome analysis showing a decrease in transcript levels of a subset of chromosomal genes in a naturally occurring plasmid-free strain of C. trachomatis, demonstrating that the plasmid is a transcriptional regulator of virulence-associated genes (6).
There is little information in the literature relating plasmid copy number (per genome) to virulence (79). The mechanisms of plasmid virulence are not clearly defined, particularly in naturally occurring infections. We assessed plasmid copy number variation and its association with disease severity in ocular C. trachomatis infection from a treatment-naive population on the Bijagós Archipelago of Guinea Bissau where trachoma is hyperendemic.
This study was conducted in accordance with the declaration of Helsinki. Ethical approval was obtained from the Comitê Nacional de Ética e Saúde (Guinea Bissau), the LSHTM Ethics Committee (United Kingdom), and the Gambia Government/MRC Joint Ethics Committee (The Gambia). Written (thumbprint or signature) informed consent was obtained from all study participants or their guardians as appropriate. Following the survey all communities on the study islands were treated with azithromycin in line with WHO and national protocols.
Individuals from 300 randomly selected households from 38 villages on four islands were examined by a single trained examiner using the simplified WHO and modified FPC grading systems (10, 11). In the FPC system, follicles (F), papillae (P), and conjunctival scarring (C) are separately scored on a scale of 0 to 3. Active disease (TF [follicular trachoma] or TI [inflammatory trachoma] according to the simplified WHO system) equates to F2/3 and P3, respectively. C2/3 (and in some cases C1) is equivalent to TS (trachomatous scarring). Both systems were used to provide detailed phenotypic information and comparability with other studies. Individuals' age, sex, and ethnicity were recorded.
Swabs were taken from the left upper tarsal conjunctiva of each participant using a validated procedure (12, 13). Swabs were collected dry into microcentrifuge tubes (Simport, Canada), kept on ice in the field, and frozen to −80°C within 8 h of collection. Measures were taken to avoid cross-contamination in the field and in the laboratory (13).
DNA extraction and droplet digital PCR (ddPCR) for detection of C. trachomatis plasmid were conducted as described previously (14). A second duplex assay was used to estimate plasmid and chromosome (omcB) target concentrations within the same reaction in plasmid-positive samples. We used published primer-probe target sequences appropriate for quantitation of all genovars of C. trachomatis (7, 14). We used a modified omcB probe to improve quenching efficiency and reduce background fluorescence (Table 1). Methods for master mix preparation, droplet generation, thermal cycling conditions, droplet reading, target DNA concentration calculation, and retesting of saturated samples are described elsewhere (14). Estimated quantities of omcB and plasmid are expressed as copies/swab. C. trachomatis load refers to omcB copies/swab. Plasmid copy number (per genome) was calculated using the plasmid/genome ratio.
TABLE 1
TABLE 1 Primer and probe sequences for control and C. trachomatis targets using the ddPCR systema
Molecular target and primer or probeNucleotide sequence and modifications
Homo sapiens RNase P/MRP 30-kDa subunit (RPP30) (internal control) 
    Forward primer (RPP30-F)5′ AGA TTT GGA CCT GCG AGC G 3′
    Reverse primer (RPP30-R)5′ GAG CGG CTG TCT CCA CAA GT 3′
    Probe (RPP30_HEX_BHQ1)5′ HEX-TTC TGA CCT GAA GGC TCT GCG CG-BHQ1 3′
C. trachomatis cryptic plasmid pLGV440 (circular; genomic DNA; 7,500 bp) 
    Forward primer (Ct-plasmid-F)5′ CAG CTT GTA GTC CTG CTT GAG AGA 3′
    Reverse primer (Ct-plasmid-R)5′ CAA GAG TAC ATC GTT CAA CGA AGA 3′
    Probe (Ct-plasmid_FAM_BHQ1)b5′ 6FAM-CCC CAC CAT TTT TCC GGA GCG A-BHQ1 3′
    Probe (Ct-plasmid_HEX_BHQ1)c5′ HEX-CCC CAC CAT TTT TCC GGA GCG A-BHQ1 3′
C. trachomatis (serovar A) omcB gene 
    Forward primer (Ct-omcB-F)5′ GAC ACC AAA CGC AAA GAC AAC AC 3′
    Reverse primer (Ct-omcB-R)5′ ACT CAT GAA CCG GAG CAA CCT 3′
    Probe (Ct-omcB-FAM-BHQ1)5′ 6FAM-CCA CAG CAA AGA GAC TCC CGT AGA CCG-BHQ1 3′
a
MRP, mitochondrial RNA processing endoribonuclease; 6FAM, 6-carboxyfluorescein reporter; BHQ1, black hole quencher 1; HEX, hexachlorofluorescein reporter.
b
C. trachomatis plasmid probe used in screening (first) assay.
c
C. trachomatis probe used in quantitative (second) assay.
Raw quantitation data were processed as previously described (14). Geometric mean omcB load and linear and logistic regression analyses (with odds ratios [OR]) were conducted in STATA 12 (Stata Corporation, College Station, TX) to examine associations between plasmid copy number, load, and detailed clinical phenotype. C. trachomatis load and plasmid copy number data were log(e) transformed, and robust standard error was used where indicated.
Of 1,511 individuals enrolled, 1,508 individuals consented to ocular assessment, and 1,507 conjunctival swabs were obtained. The median age of participants was 13 years (1 month to 88 years), and 57% were female. Most participants were of the Bijagós ethnic group. The prevalence of active trachoma (TF/TI) in 1- to 9-year-olds was 21% (136/660) (95% confidence interval [CI], 17.89 to 24.11%). Overall, 11% had clinically active trachoma (164/1,508) (95% CI, 9.42 to 12.58%). C. trachomatis plasmid DNA was detected in 16% overall (233/1,507) (26% of 1- to 9-year-olds). All samples were adequate according to criteria described previously (14).
C. trachomatis load was estimated in 79% (184/233) of plasmid-positive samples. In 21% of samples where plasmid load was very low, omcB was below the level of detection.
The geometric mean estimated number of omcB copies/swab varied by clinical phenotype: 294 copies/swab (95% CI, 165 to 524) in 73 subjects with normal conjunctivae, 8,562 copies/swab (95% CI, 5,412 to 13,546) in 92 with active trachoma, and 928 copies/swab (95% CI, 280 to 2,074) in 19 with scarring.
The median plasmid copy number was 5.34 (1 to 18.03) (Fig. 1). Plasmid copy number was stable in infections across the four study islands (Kruskal-Wallis H [χ2] = 4.5001 [df = 3; P = 0.2123]). Plasmid copy number was not associated with the presence of active trachoma (OR, 1.00; 95% CI, 0.88 to 1.12; P = 0.960), severity of inflammatory (OR, 1.04; 95% CI, 0.927 to 1.162; P = 0.515) or follicular (OR, 1.03; 95% CI, 0.922 to 1.159; P = 0.572) disease, or C. trachomatis load (Table 2). At lower loads, the variance was highly heterogeneous (Levene's W0 = 55.3; df = 2; P < 0.000000001) (Fig. 2).
FIG 1
FIG 1 Distribution of plasmid copy number variation in naturally occurring ocular infections with C. trachomatis within the study population. se, standard error.
TABLE 2
TABLE 2 Relationship between plasmid copy number and C. trachomatis loada
No. of omcB copies/swabNo. of samplesPlasmid copy no.
VarianceMinimumMedianMaximum
<1004119.813914.151418.0291
100–10,000822.713615.34219.2819
>10,000621.08143.61645.42618.3947
a
Kruskall Wallis H (χ2) = 4.58; df = 2; P = 0.10.
FIG 2
FIG 2 C. trachomatis load and plasmid copy number variation.
The theoretical advantages of ddPCR are presented by Hindson et al. (15). These include nanoliter-sized droplet partitioning of the reaction, which promotes optimal primer-template interaction conditions robust to variation in PCR efficiency, thus enabling accurate estimation of both plasmid and omcB copy numbers within the same reaction. We have discussed the precision and accuracy of our diagnostic ddPCR assay elsewhere (14).
There are a few published studies examining plasmid copy number in reference strains of C. trachomatis (79, 16, 17). Pickett et al. showed that across 12 C. trachomatis serovars, the plasmid copy number was not significantly different, but there were variations depending on growth phase and condition during in vitro culture (7). Seth-Smith et al. showed an increased plasmid copy number in ocular relative to urogenital strains (8). We demonstrate a stable plasmid copy number distribution in naturally occurring ocular C. trachomatis infection that does not vary with geographic location, clinical phenotype, or C. trachomatis load. Our data show that ddPCR may have limitations in measuring plasmid copy number in very-low-load infections (<200 omcB copies/swab), where plasmid copy number variance is greatest. This observation may reflect a breakdown in the assumptions required to apply the Poisson distribution to accurately estimate load with ddPCR. Despite the caveats, our data suggest plasmid copy number stability in naturally occurring ocular C. trachomatis infection.
Maintenance of the plasmid at low copy numbers carries an inherent risk during cell partition (18), but naturally occurring plasmid-free strains are rare (1921). A lower-risk, higher-copy-number system is metabolically expensive but may confer a fitness advantage. Thus, the maintenance of 5 or 6 plasmids per genome may maximize infectivity or intracellular survival while provoking minimal host immune response.
Though there is convincing evidence that the chlamydial plasmid is a virulence factor (3, 4, 6, 2224), our data suggest that plasmid copy number is not associated with disease severity and that additive gene dosage effects do not appear to correlate with pathogen virulence in vivo. This supports in vitro work showing no association between plasmid copy number and tissue tropism (9). Previous work in vitro and in animal models suggests that subtle genomic differences between chlamydial isolates are associated with differences in growth kinetics, immune responses, and pathology (25, 26). Further epidemiological and in vitro studies using comparative pathogen genomics to examine these associations are required to fully understand the relationship between disease severity and chlamydial virulence.

ACKNOWLEDGMENTS

This work was supported by the Wellcome Trust (grant 097330/Z/11/Z).
All reagents for the study were purchased at full list price, but we are grateful to Bio-Rad Laboratories Inc. for the loan of the QX-100 platform free of charge for use in this study. We extend thanks to the study participants and field research team in Guinea Bissau.
We have no conflicts of interest to declare.

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Information & Contributors

Information

Published In

cover image Journal of Clinical Microbiology
Journal of Clinical Microbiology
Volume 52Number 1January 2014
Pages: 324 - 327
Editor: E. Munson
PubMed: 24197878

History

Received: 21 September 2013
Returned for modification: 24 October 2013
Accepted: 25 October 2013
Published online: 1 January 2014

Contributors

Authors

Anna R. Last
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
Chrissy h. Roberts
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
Eunice Cassama
Programa Nacional de Saúde de Visão, Ministério de Saúde Publica, Bissau, Guinea Bissau
Meno Nabicassa
Programa Nacional de Saúde de Visão, Ministério de Saúde Publica, Bissau, Guinea Bissau
Sandra Molina-Gonzalez
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
Sarah E. Burr
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
Disease Control and Elimination Theme, Medical Research Council Unit The Gambia, Fajara, The Gambia
David C. W. Mabey
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
Robin L. Bailey
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
Martin J. Holland
Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom

Editor

E. Munson
Editor

Notes

Address correspondence to Anna R. Last, [email protected].

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