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Haines, L. R.

Publications and source records attributed to Haines, L. R..

6 recordsLinked to original sources

The beta-triketone, nitisinone, kills insecticide-resistant mosquitoes through cuticular uptake

The efficacy of numerous vector control initiatives is compromised by growing insecticide resistance among disease-transmitting arthropods of agricultural, veterinary, and public health significance. Previous investigations on hematophagous (blood-feeding) arthropod vectors, including mosquitoes, have indicated that ingesting blood containing inhibitors of the second enzyme in the tyrosine metabolism pathway, 4-hydroxyphenylpyruvate dioxygenase (HPPD), results in high insect mortality. Building upon this foundation, we evaluated the insecticidal efficacy of the HPPD inhibitor, nitisinone, against susceptible and pyrethroid-resistant strains of three mosquito species: Anopheles gambiae, Aedes aegypti and Culex quinquefasciatus. These mosquitoes are vectors of historical diseases such as malaria, emerged diseases such as Dengue and Zika and emerging viral diseases such as the Oropouche and Usutu viruses. We demonstrate, by employing standard screening assays designed to assess the cuticular uptake of mosquitocidal agents, that nitisinone has mosquitocidal activity when blood-fed mosquitoes contact a nitisinone-coated surface. Notably, there is no discernible disparity in susceptibility to nitisinone between an insecticide-susceptible strain of Anopheles gambiae and two strains carrying multiple insecticide-resistance mechanisms. We conclude that the mosquitocidal mode of action of nitisinone differs from any of the current 37 classes of insecticides as none have a mode of action that specifically interferes with blood digestion. By highlighting the efficacy of nitisinone as a contact-based insecticide, our findings support the potential expansion of vector control strategies where nitisinone is incorporated into classic interventions like treated bednets and indoor residual spraying.

zoology↗

How does host age and nutrition affect density regulation of obligate versus facultative bacterial symbionts? Insights from the tsetse fly

The relationships between insect hosts and their symbionts can vary tremendously in the extent to which hosts depend on and control their symbionts. Obligate symbionts that provide micronutrients to their host are often compartmentalised to specialised host organs and depend on their hosts for survival, whereas facultative symbionts retain the ability to survive outside of their hosts. Few studies compare the extent to which a host controls and adjusts the density of obligate and facultative symbionts directly. Here, we used tsetse as a model for teasing apart the relationships between a host (Glossina morsitans morsitans) and obligate (Wigglesworthia glossinidia) and facultative (Sodalis glossinidius) symbionts. We hypothesised that tsetse actively regulate the density of Wigglesworthia according to the hosts requirements, depending on their current nutritional state and developmental age. In contrast, we postulated that Sodalis retains some independence from host control, and that the growth of this symbiont is dependent on the conditions of the immediate environment, such as nutrient availability. Using qPCR, we examined how symbiont densities change across host age and the hunger cycle. Additionally, we investigated how host nutrition influences symbiont density, by comparing tsetse that were fed diluted blood (poor nutrition) or blood supplemented with yeast extract (vitamin enriched). We found that the density of Wigglesworthia did not reflect the nutritional status of the host, but was optimised to accommodate long-term host requirements (in terms of nutrient provisioning). In contrast, the density of facultative Sodalis was influenced by the ecological context (i.e. nutrient availability). This suggests that tsetse regulate the abundance of Wigglesworthia to a greater extent than Sodalis. We propose that tsetse exert only partial control over Sodalis growth due to the relatively recent transition of this symbiont to host-associated living. Author summarySymbiotic microbes have the potential to significantly impact the wider ecosystem by affecting the fitness and behaviour of their animal hosts. The density of a particular symbiont population within host tissues is likely an important factor influencing the effect it has on the host, however, little is known about the factors which determine how symbiont density is regulated, and how these differ between symbionts with different degrees of host-association (e.g. obligate and facultative symbionts). Here, we found that Wigglesworthia and Sodalis, two bacterial tsetse symbionts, demonstrate distinct trends in density according to host age and nutrition. We discuss how the evolutionary histories of these symbionts with their host potentially explain these results, highlighting the complexity and dynamic nature of host-symbiont interactions. Our findings contribute to our understanding of the extent to which hosts and symbionts control symbiont density and how symbiont density regulation can be affected by the ecological context.

evolutionary biology↗

Caught in a trap: DNA contamination in tsetse xenomonitoring can lead to over-estimates of Trypanosoma brucei infection

BackgroundTsetse flies (Glossina sp.) are vectors of Trypanosoma brucei subspecies that cause human African trypanosomiasis (HAT). Capturing and screening tsetse is critical for HAT surveillance. Classically, tsetse have been microscopically analysed to identify trypanosomes, but this is increasingly replaced with molecular xenomonitoring. Nonetheless, sensitive T. brucei-detection assays, such as TBR-PCR, are vulnerable to DNA cross-contamination. This may occur at capture, when often multiple live tsetse are retained temporarily in the cage of a trap. This study set out to determine whether infected tsetse can contaminate naive tsetse with T. brucei DNA via faeces when co-housed. Methodology/Principle FindingsInsectary-reared teneral G. morsitans morsitans were fed an infectious T. b. brucei-spiked bloodmeal. At 19 days post-infection, infected and naive tsetse were caged together in the following ratios: (T1) 9:3, (T2) 6:6 (T3) 1:11 and a control (C0) 0:12 in triplicate. Following 24-hour incubation, DNA was extracted from each fly and screened for parasite DNA presence using PCR and qPCR. All insectary-reared infected flies were positive for T. brucei DNA using TBR-qPCR. However, naive tsetse also tested positive. Even at a ratio of 1 infected to 11 naive flies, 91% of naive tsetse gave positive TBR-qPCR results. Furthermore, the quantity of T. brucei DNA detected in naive tsetse was significantly correlated with cage infection ratio. With evidence of cross-contamination, field-caught tsetse from Tanzania were then assessed using the same screening protocol. End-point TBR-PCR predicted a sample population prevalence of 24.8%. Using qPCR and Cq cut-offs optimised on insectary-reared flies, we estimated that prevalence was 0.5% (95% confidence interval [0.36, 0.73]). Conclusions/SignificanceOur results show that infected tsetse can contaminate naive flies with T. brucei DNA when co-caged, and that the level of contamination can be extensive. Whilst simple PCR may overestimate infection prevalence, quantitative PCR offers a means of eliminating false positives. Author SummaryTsetse flies (Glossina sp.) are vectors of Trypanosoma brucei parasites that cause human African trypanosomiasis, also known as sleeping sickness. As part of disease surveillance, tsetse can be captured in traps and checked for parasite presence. The molecular screening of disease vectors (such as mosquitoes, ticks and blackflies) for the presence of pathogen DNA has gained popularity in recent years. However, DNA contamination may occur at capture when live vectors are retained for a limited period in a trap cage. To explore this, we conducted experiments, initially with laboratory-reared tsetse and then field-caught tsetse from Tanzania. Our results show that infected tsetse can contaminate uninfected tsetse with T. brucei DNA when retained together in a trap cage, and that the level of contamination can be extensive. Infected tsetse consistently shed T. brucei DNA in their faeces, which in turn contaminates other tsetse. This can produce false-positive results, leading to inaccurate reporting of infection prevalence. These findings impact not only trypanosomiasis surveillance, but may also have ramifications for the xenomonitoring of other vector-borne neglected diseases. Future work should explore whether pathogen DNA contamination routes exist in other vector species and, if so, the methods to mitigate DNA contamination in entomological traps.

molecular biology↗

Advancing age grading techniques for Glossina morsitans morsitans, vectors of African trypanosomiasis, through mid-infrared spectroscopy and machine learning

Tsetse are the insects responsible for transmitting African trypanosomes, which cause sleeping sickness in humans and animal trypanosomiasis in wildlife and livestock. Knowing the age of these flies is important when assessing the effectiveness of vector control programs and modelling disease risk. However, current methods to assess fly age are labour-intensive, slow, and often inaccurate as skilled personnel are in short supply. Mid-infrared spectroscopy (MIRS), a fast and cost-effective tool to accurately estimate several biological traits of insects, offers a promising alternative. This is achieved by characterising the biochemical composition of the insect cuticle using infrared light coupled with machine learning algorithms to estimate the traits of interest. We tested the performance of MIRS in estimating tsetse sex and age for the first time using spectra obtained from their cuticle. We used 541 insectary-reared Glossina m. morsitans of two different age groups for males (5 and 7 weeks) and three age groups for females (3 days, 5 weeks, and 7 weeks). Spectra were collected from the head, thorax, and abdomen of each sample. Machine learning models differentiated between male and female flies with a 96% accuracy and predicted the age group with 94% and 87% accuracy for males and females, respectively. The key infrared regions important for discriminating sex and age classification were characteristic of lipid and protein content. Our results support the use of MIRS as a fast and accurate way to identify tsetse sex and age with minimal pre-processing. Further validation using wild-caught tsetse can pave the way for this technique to be implemented as a routine surveillance tool in vector control programmes. Author summaryMale and female tsetse transmit the parasites that cause sleeping sickness in humans and nagana in livestock. To control these diseases, knowing the age of these flies is important, as it helps evaluate the efficacy of control measures and assess disease risk. However, current age-grading methods are laborious, often unreliable, and in the case of male tsetse, highly inaccurate. This study explores a novel approach that uses mid-infrared spectroscopy (MIRS) to estimate the age of individual tsetse. Machine learning can detect signatures in MIRS that help identify the composition of a flys cuticle, which differs between sexes and changes as they age. We trained machine learning models that distinguished male from female flies with 96% accuracy and predicted the correct age group with 94% accuracy for males and 87% accuracy for females. MIRS offers a fast and reliable way to identify tsetse sex and age with minimal preparation. If this method is successfully validated with wild flies, it holds the potential to vastly increase the accuracy of the way we monitor and combat these disease-carrying insects, thus offering significant advantages in our efforts to control them.

biochemistry↗

Tsetse flies choose birthing sites guided by environmental but not pheromonal cues

Tsetse flies significantly impact public health and economic development in sub-Saharan African countries by transmitting the fatal disease African trypanosomiasis. Unusually, instead of laying eggs, tsetse birth a single larva that immediately burrows into the soil to pupate. Where the female chooses to larviposit is therefore crucial for offspring survival. Previous studies showed that a putative larval pheromone, n-pentadecane, attracts gravid female Glossina morsitans morsitans to appropriate larviposition sites. However, this attraction could not be reproduced in field experiments. Here, we resolve this disparity by designing naturalistic laboratory experiments that closely mimic the characteristics found in the wild. We show that gravid tsetse were neither attracted to the putative pheromone nor, interestingly, to pupae placed in the soil. In contrast, females appear to choose larviposition sites based on environmental cues. We conclude that it is the substrate, rather than larval pheromones, which drives larviposition site selection under naturalistic conditions.

animal behavior and cognition↗

The crystal structure and localization of Trypanosoma brucei invariant surface glycoproteins suggest a more permissive VSG coat in the tsetse-transmitted metacyclic stage

Trypanosoma brucei spp. develop into mammalian-infectious metacyclic trypomastigotes inside the tsetse salivary glands. Besides acquiring a variant surface glycoprotein (VSG) coat, nothing is known about expression of invariant surface antigens by the metacyclic stage. Proteomic analysis of saliva from T. brucei-infected flies revealed a novel family of hypothetical GPI-anchored surface proteins herein named Metacyclic Invariant Surface Proteins (MISP). MISP are encoded by five homolog genes and share ~80% protein identity. The crystal structure of MISP N-terminus at 1.82 [A] resolution revealed a triple helical bundle that shares key features with other trypanosome surface proteins. However, molecular modelling combined with live fluorescent microscopy suggest that MISP N-termini are extended above the metacyclic VSG coat, exposing immunogenic epitopes. Collectively, we suggest that the metacyclic cell surface architecture appears more permissive than bloodstream forms in terms of expression of invariant GPI-anchored glycoproteins, which could be exploited for the development of novel vaccines against African trypanosomiases.

microbiology↗