Literature DB >> 33257651

Enhancement of Aedes aegypti susceptibility to dengue by Wolbachia is not supported.

Thomas H Ant1, Maria-Vittoria Mancini1, Julien Martinez1, Steven P Sinkins2.   

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Year:  2020        PMID: 33257651      PMCID: PMC7705685          DOI: 10.1038/s41467-020-19830-6

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


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King et al. Nature Communications 10.1038/s41467-018-03981-8 (2018). Releases of Aedes aegypti mosquitoes carrying Wolbachia to block the transmission of dengue virus (DENV) are currently being deployed as a novel dengue control strategy in a number of countries, with very encouraging results[1,2]. In their paper entitled “Variation in Wolbachia effects on Aedes mosquitoes as a determinant of invasiveness and vectorial capacity”, King et al.[3] used DENV infection and transmission modelling to reinterpret experimental data from two previous studies[4,5]. The authors claimed that wMel Wolbachia increase the mean susceptibility of Ae. aegypti to DENV, contradicting various other studies[6-12]. Here, we raise concerns with the experimental approaches used to generate one of the primary datasets on which the modelling is based, and we discuss how these limitations could make some of the original conclusions misleading. King et al.[3] base a large part of their modelling analysis on experimental data reported in Souto-Maior et al.[4], consisting of intrathoracic challenges with DENV-1 of wMel-carrying and tetracycline-cured (TET) Ae. aegypti, with virus quantified by qRT-PCR in whole bodies. An equivalent proportion of dengue-positive wMel-carrying mosquitoes compared to TET controls is reported at an injection titre of 104 TCID50/ml, a slight increase in positives in wMel-carrying mosquitoes at 105 and 106 TCID50/ml, and a slight decrease at 107 and 108 TCID50/ml. Intrathoracic inoculation can be a convenient first approximation of infectivity since it is easier to perform than oral challenge; however it bypasses the biologically crucial midgut infection barrier, a key site of virus blocking by Wolbachia[13]. Thus, it represents a substantial deviation from the natural infection route, and its biological relevance is especially questionable given the binary presence/absence of viral RNA used by King et al.[3] as the measure of susceptibility. Furthermore, in Souto-Maior et al.[4] a high proportion of the mosquitoes assigned as DENV-infected, particularly those at low virus titre challenges, are likely false positives. Examination of the raw qPCR cycle threshold (Ct) values reveals a positive signal in 5 out of 35 negative control mosquitoes following mock challenge. The mean of these Ct values is lower, indicating a stronger signal, than many of the Ct values from mosquitoes counted as DENV-infected (Fig. 1a). A strong signal in the negative control leads to uncertainty over the specificity of the qPCR assay used and suggests that many of the readings indicating DENV-positivity from the 104, 105, 106, and 107 TCID50/ml inoculations could be artefacts. The very low infection rates at the lower virus inoculation titres are similar to the false positive rate of the negative controls: 4% (0.4–13.7%), 8.8% (1.8–23.7%), and 18.4% (8.4–30.9%), for 104, 105, and 106 TCID50/ml, respectively, compared to 14.3% (4.8–30.3%) for negative controls, where all percentage values in parentheses are exact binomial 95% CI.
Fig. 1

qPCR data and DENV infection rates from the original Souto-Maior et al.[4] data.

a Raw DENV qPCR Ct values resulting from intrathoracic inoculations. Blue and green dots show Ct values from TET and wMel mosquitoes, respectively. Red dashed lines show Ct values from mock-injected negative controls. b–c Proportions of TET and wMel mosquitoes classified by Souto-Maior et al.[4] (and likewise by King et al.[3]) as qPCR positive—proportions have been recalculated from the original dataset. Error bars show 95% binomial confidence intervals.

qPCR data and DENV infection rates from the original Souto-Maior et al.[4] data.

a Raw DENV qPCR Ct values resulting from intrathoracic inoculations. Blue and green dots show Ct values from TET and wMel mosquitoes, respectively. Red dashed lines show Ct values from mock-injected negative controls. b–c Proportions of TET and wMel mosquitoes classified by Souto-Maior et al.[4] (and likewise by King et al.[3]) as qPCR positive—proportions have been recalculated from the original dataset. Error bars show 95% binomial confidence intervals. Despite a low number of virus-positive mosquitoes at the lower inoculation titres, with a total of 14 positive mosquitoes across both the wMel and TET groups for the 104, 105, and 106 TCID50/ml inoculations combined, resulting in low statistical power (Fig. 1b), King et al.[3] fit a dose-response model to the data and conclude that “Wolbachia increase mean susceptibility [to infection] by a factor of 6.9”. Even if all DENV-positive PCR readings are assumed to be valid, this increase in susceptibility is difficult to reconcile with the data. The total proportion of DENV-positive TET mosquitoes was 52 out of 117 or 44.4% (35.3–53.9%) compared to 62 out of 143 or 43.3% (35.1–51.9) for wMel, a slight decrease in infection rate that was not statistically significant: p = 0.96, Binomial test (Fig. 1c). There are also very low infection rates and infection titres in the Souto-Maior et al.[4] dataset even at relatively high inoculation titres, e.g., an 8.3% infection rate in TET mosquitoes following DENV-inoculation at 106 TCID50/ml. This result is inconsistent with other studies: for example, 100% infection was observed following DENV inoculation at 104 genome copies/ml[11]; 95% infection following DENV-inoculation at 105 TCID50/ml[10]; and 100% infection following DENV inoculation at 6 × 105 PFU/ml[14]. Finally, there are issues with data transfer, since King et al.[3] present the wMel cohort as having a higher proportion DENV infected at 104 TCID50/ml, whereas in the Souto-Maior et al.[4] dataset the proportions are equivalent. The second dataset used by King et al.[3] was from Ferguson et al.[5], comparing wMel-carrying and Wolbachia-negative Ae. aegypti fed on viremic blood from dengue patients (serotypes 1–4). The study provides data on DENV infection rates and titres in dissected abdomens by qRT-PCR, and a direct assessment of the infectivity of mosquito saliva. Applying their dose-response modelling to proportions of infected abdomens, King et al.[3] conclude an “increase in mean [wMel-infected] mosquito susceptibility to infection to a factor of 1.5” relative to Wolbachia-negative controls. However, the value is misleading. Replotting the Ferguson et al.[5] abdomen infection rates (Fig. 2) shows that in 23 out of 42 feedings or 54.7% (38.67–70.2%), wMel-carrying mosquitoes displayed a lower infection proportion than Wolbachia-negative controls; in 14 out of 42 or 33.3% (19.6–49.6%) the proportions were exactly equivalent; and in only 5 out of 42 or 11.9% of feedings (3.9–25.6%) was the proportion infected higher in wMel-carrying mosquitoes. Thus 665 out of a total 955 or 69.6% (66.6–72.5%) of Wolbachia-negative mosquitoes developed abdominal infections, compared to 507 out of a total 877 or 57.8% (54.4–61.1%) of wMel-carrying mosquitoes, a 16.9% decrease in infection rate: p = 0.0147, Fisher’s exact test.
Fig. 2

Differences in abdomen infection rate [(rate in wMel)—(rate in Wolbachia-uninfected)] between wMel and Wolbachia-negative mosquitoes fed on viremic blood, replotted from the original Ferguson et al.[5] data.

Each dot represents a feeding on blood sourced from a different dengue-infected patient. Negative differences (green dots) indicate a lower abdomen infection rate in wMel-carrying mosquitoes. Positive differences (blue dots) indicate a higher abdomen infection rate in wMel-carrying mosquitoes. Black dots indicate no difference. The red line shows the mean difference across all DENV titres. Shaded area shows data points in the 105 ≤ X < 106 RNA copies/ml stratum and statistical test.

Differences in abdomen infection rate [(rate in wMel)—(rate in Wolbachia-uninfected)] between wMel and Wolbachia-negative mosquitoes fed on viremic blood, replotted from the original Ferguson et al.[5] data.

Each dot represents a feeding on blood sourced from a different dengue-infected patient. Negative differences (green dots) indicate a lower abdomen infection rate in wMel-carrying mosquitoes. Positive differences (blue dots) indicate a higher abdomen infection rate in wMel-carrying mosquitoes. Black dots indicate no difference. The red line shows the mean difference across all DENV titres. Shaded area shows data points in the 105 ≤ X < 106 RNA copies/ml stratum and statistical test. In their susceptibility analysis, King et al.[3] stratify the Ferguson et al.[5] abdomen data into groups of Log10 viral titre i.e., patients with 105 ≤ X < 106 and 106 ≤ X < 107 RNA copies/ml etc. are grouped independently. Using this stratification system King et al. observe that there is an increased infection rate in the wMel cohort in the 105 ≤ X < 106 grouping. However, while 14 out of 75 or 18.7% (10.6–29.3%) of wMel carriers were DENV positive in abdomens compared to 9 out of 80 or 11.3% (5.3–20.3%) of Wolbachia negatives, this difference is not statistically significant: p = 0.372, Fisher’s exact test (Fig. 2). At all other strata the proportion of infected mosquitoes was lower in the wMel cohort. There was also no consideration of differences in output viral titres in challenged mosquitoes in the King et al.[3] model; while in Ferguson et al.[5] the 105 ≤ X < 106 stratum shows a slight increase in infection rate for wMel, virus titre in the same mosquitoes is on average 10–100-fold less. The need for consideration of virus in the saliva is also paramount. Evaluations of safety and efficacy of the Wolbachia replacement approach are valuable, but must be based on robust experimental foundations and analysis, given that misleading ‘headline’ statements can adversely impact stakeholder perceptions. Given low-titre asymptomatic carriers of DENV may be important contributors to its transmission[15], the study by King et al.[3] could even be interpreted as providing evidence of a risk that Wolbachia deployment could actually increase dengue incidence. Wolbachia replacement requires the release of biting female mosquitoes, and high levels of community support are thus essential; the intervention is particularly sensitive to any safety concerns. The limitations in the experimental dataset on which King et al.[3] based their analysis suggest that caution is needed when interpreting their argument for enhanced mean DENV susceptibility in Ae. aegypti carrying wMel Wolbachia.
  15 in total

1.  A Wolbachia symbiont in Aedes aegypti limits infection with dengue, Chikungunya, and Plasmodium.

Authors:  Luciano A Moreira; Iñaki Iturbe-Ormaetxe; Jason A Jeffery; Guangjin Lu; Alyssa T Pyke; Lauren M Hedges; Bruno C Rocha; Sonja Hall-Mendelin; Andrew Day; Markus Riegler; Leon E Hugo; Karyn N Johnson; Brian H Kay; Elizabeth A McGraw; Andrew F van den Hurk; Peter A Ryan; Scott L O'Neill
Journal:  Cell       Date:  2009-12-24       Impact factor: 41.582

2.  The wMel Wolbachia strain blocks dengue and invades caged Aedes aegypti populations.

Authors:  T Walker; P H Johnson; L A Moreira; I Iturbe-Ormaetxe; F D Frentiu; C J McMeniman; Y S Leong; Y Dong; J Axford; P Kriesner; A L Lloyd; S A Ritchie; S L O'Neill; A A Hoffmann
Journal:  Nature       Date:  2011-08-24       Impact factor: 49.962

3.  Variation in Wolbachia effects on Aedes mosquitoes as a determinant of invasiveness and vectorial capacity.

Authors:  Jessica G King; Caetano Souto-Maior; Larissa M Sartori; Rafael Maciel-de-Freitas; M Gabriela M Gomes
Journal:  Nat Commun       Date:  2018-04-16       Impact factor: 14.919

4.  The endosymbiotic bacterium Wolbachia induces resistance to dengue virus in Aedes aegypti.

Authors:  Guowu Bian; Yao Xu; Peng Lu; Yan Xie; Zhiyong Xi
Journal:  PLoS Pathog       Date:  2010-04-01       Impact factor: 6.823

5.  Asymptomatic humans transmit dengue virus to mosquitoes.

Authors:  Veasna Duong; Louis Lambrechts; Richard E Paul; Sowath Ly; Rath Srey Lay; Kanya C Long; Rekol Huy; Arnaud Tarantola; Thomas W Scott; Anavaj Sakuntabhai; Philippe Buchy
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

6.  The impact of Wolbachia infection on the rate of vertical transmission of dengue virus in Brazilian Aedes aegypti.

Authors:  Etiene Casagrande Pacidônio; Eric Pearce Caragata; Debora Magalhães Alves; João Trindade Marques; Luciano Andrade Moreira
Journal:  Parasit Vectors       Date:  2017-06-17       Impact factor: 3.876

7.  Establishment of Wolbachia Strain wAlbB in Malaysian Populations of Aedes aegypti for Dengue Control.

Authors:  Wasi A Nazni; Ary A Hoffmann; Ahmad NoorAfizah; Yoon Ling Cheong; Maria V Mancini; Nicholas Golding; Ghazali M R Kamarul; Mohd A K Arif; Hasim Thohir; Halim NurSyamimi; M Zabari ZatilAqmar; Mazni NurRuqqayah; Amran NorSyazwani; Azmi Faiz; Francis-Rudin M N Irfan; Subramaniam Rubaaini; Nasir Nuradila; Nasir M N Nizam; Saidin M Irwan; Nancy M Endersby-Harshman; Vanessa L White; Thomas H Ant; Christie S Herd; Asim H Hasnor; Rahman AbuBakar; Dusa M Hapsah; Khairuddin Khadijah; Denim Kamilan; Soo Cheng Lee; Yusof M Paid; Kamaludin Fadzilah; Omar Topek; Balvinder S Gill; Han Lim Lee; Steven P Sinkins
Journal:  Curr Biol       Date:  2019-11-21       Impact factor: 10.834

8.  Limited dengue virus replication in field-collected Aedes aegypti mosquitoes infected with Wolbachia.

Authors:  Francesca D Frentiu; Tasnim Zakir; Thomas Walker; Jean Popovici; Alyssa T Pyke; Andrew van den Hurk; Elizabeth A McGraw; Scott L O'Neill
Journal:  PLoS Negl Trop Dis       Date:  2014-02-20

9.  Model-based inference from multiple dose, time course data reveals Wolbachia effects on infection profiles of type 1 dengue virus in Aedes aegypti.

Authors:  Caetano Souto-Maior; Gabriel Sylvestre; Fernando Braga Stehling Dias; M Gabriela M Gomes; Rafael Maciel-de-Freitas
Journal:  PLoS Negl Trop Dis       Date:  2018-03-20

10.  Establishment of wMel Wolbachia in Aedes aegypti mosquitoes and reduction of local dengue transmission in Cairns and surrounding locations in northern Queensland, Australia.

Authors:  Peter A Ryan; Andrew P Turley; Geoff Wilson; Tim P Hurst; Kate Retzki; Jack Brown-Kenyon; Lauren Hodgson; Nichola Kenny; Helen Cook; Brian L Montgomery; Christopher J Paton; Scott A Ritchie; Ary A Hoffmann; Nicholas P Jewell; Stephanie K Tanamas; Katherine L Anders; Cameron P Simmons; Scott L O'Neill
Journal:  Gates Open Res       Date:  2020-04-08
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