Biology subjects

Guegan, F.

Publications and source records attributed to Guegan, F..

3 recordsLinked to original sources

bioRxiv2025

Glycerol metabolism triggers trypanosome differentiation into transmissible forms in mammalian tissue-like conditions

In the mammalian bloodstream, Trypanosoma brucei, the parasite responsible for sleeping sickness, proliferates as slender forms before undergoing quorum-sensing (QS)-mediated differentiation into cell cycle-arrested stumpy forms (stumpy-QS), a transition that regulates parasitaemia and primes parasites for tsetse fly transmission. Beyond the bloodstream, T. brucei also occupies extravascular, adipose-rich tissues such as the skin, a potential reservoir for transmission. Here, we identify an alternative slender-to-stumpy differentiation pathway driven by glycerol, a host metabolite abundant in adipose-rich tissues, that could resolve the long-standing paradox of successful parasite transmission from human hosts during chronic infection despite low parasitaemia. We show that high (10 mM) and non-physiological glycerol concentrations under low glucose conditions (0.5 mM) induce differentiation, generating distinct stumpy-Glyc forms that resemble stumpy-QS parasites but have an extended lifespan. Under conditions mimicking dermal tissue interstitial fluids (4 mM glucose, 0.25 mM glycerol), we show that glycerol promotes the emergence of proliferative intermediate forms that retain transmission potential and can differentiate into fly host-specific procyclic forms in vitro and within tsetse flies. These findings open the door for reevaluation of the model of T. brucei transmission and supports a dominant role for adipocyte-derived glycerol in the skin in sustaining parasite transmission.

microbiology↗

bioRxiv2020

A long non-coding RNA controls parasite differentiation in African trypanosomes

Trypanosoma brucei causes African sleeping sickness, a fatal human disease. Its differentiation from replicative slender form into quiescent stumpy form promotes host survival and parasite transmission. Long noncoding RNAs (lncRNAs) are known to regulate cell differentiation. To determine whether lncRNAs are involved in parasite differentiation we used RNAseq to survey the T. brucei lncRNA gene repertoire, identifying 1,428 previously uncharacterized lncRNA genes. We analysed grumpy, a lncRNA located immediately upstream of an RNA-binding protein that is a key differentiation regulator. Grumpy over-expression resulted in premature parasite differentiation into the quiescent stumpy form, and subsequent impairment of in vivo infection, decreasing parasite load in the mammalian host, and increasing host survival. Our analyses suggest Grumpy is one of many lncRNA that modulate parasite-host interactions, and lncRNA roles in cell differentiation are probably commonplace in T. brucei.

microbiology↗

bioRxiv2019

Identifying conservation priorities in a defaunated tropical biodiversity hotspot

AimUnsustainable hunting is leading to widespread defaunation across the tropics. To mitigate against this threat with limited conservation resources, stakeholders must make decisions on where to focus anti-poaching activities. Identifying priority areas in a robust way allows decision-makers to target areas of conservation importance, therefore maximizing the impact of conservation interventions.\n\nLocationAnnamite mountains, Vietnam and Laos.\n\nMethodsWe conducted systematic landscape-scale surveys across five study sites (four protected areas, one unprotected area) using camera-trapping and leech-derived environmental DNA. We analyzed detections within a Bayesian multi-species occupancy framework to evaluate species responses to environmental and anthropogenic influences. Species responses were then used to predict occurrence to unsampled regions. We used predicted species richness maps and occurrence of endemic species to identify areas of conservation importance for targeted conservation interventions.\n\nResultsAnalyses showed that habitat-based covariates were uninformative. Our final model therefore incorporated three anthropogenic covariates as well as elevation, which reflects both ecological and anthropogenic factors. Conservation-priority species tended to found in areas that are more remote now or have been less accessible in the past, and at higher elevations. Predicted species richness was low and broadly similar across the sites, but slightly higher in the more remote site. Occupancy of the three endemic species showed a similar trend.\n\nMain conclusionIdentifying spatial patterns of biodiversity in heavily-defaunated landscapes may require novel methodological and analytical approaches. Our results indicate to build robust prediction maps it is beneficial to sample over large spatial scales, use multiple detection methods to increase detections for rare species, include anthropogenic covariates that capture different aspects of hunting pressure, and analyze data within a Bayesian multi-species framework. Our models further suggest that more remote areas should be prioritized for anti-poaching efforts to prevent the loss of rare and endemic species.

ecology↗