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Aebischer, T.

Publications and source records attributed to Aebischer, T..

4 recordsLinked to original sources

Arginine metabolism has a pivotal function for the encystation of Giardia duodenalis

Arginine metabolism plays a key role in the energy metabolism of the intestinal parasite Giardia duodenalis, an amitochondrial protozoan that infects humans and animals and causes significant morbidity. An arginine deiminase (ADI) has been implicated in virulence, but it is currently unknown if ADI allele variants from the different genetic G. duodenalis subgroups (assemblages) differ in function. Here, the hypothesis was tested that sequence variation detected between G. duodenalis ADI alleles from the two G. duodenalis assemblage types found in humans affects functional parameters of the enzyme with potential consequences in life cycle progression. The ADI enzyme affinity for arginine was drastically reduced in sub-assemblage AII isolates, a human specific assemblage, in comparison to zoonotic sub-assemblage AI and B isolates. We identified the two amino acid residues responsible for the lower substrate affinity of ADIAII variant. Using genetic approaches to generate ADI knockout mutants, biochemical approaches to unravel substrate affinity as well as cellular approaches to determine efficiency of life cycle progression, we show that ADI is essential for efficient encystation of the parasite and that the lower substrate affinity in ADIAII correlates with lower encystation efficiency. We further demonstrate that arginine is essential for efficient encystation, and by generating ADI knock-out parasites we present evidence that ADI is the functional correlate for this arginine dependence. Thus, our data describe ADI as a quantitative trait that affects life cycle progression of G. duodenalis with putative clinical and epidemiological relevance. Author summaryIn the human pathogenic parasite Giardia duodenalis, arginine deiminase (ADI) mediates the first step in the arginine dehydrolase pathway (ADH), metabolizing arginine to provide chemical energy in form of ATP. The bacterial-derived ADH pathway had been inherited by horizontal gene transfer, and ADI has been proposed as a virulence factor. We show here by biochemical and genetic approaches with ADI knock-out mutants that arginine and its metabolizing enzyme ADI are essential for efficient life cycle progression (encystation) to form infectious cysts. Furthermore, we show a drastically impaired arginine substrate affinity for the human-specific G. duodenalis genotype AII in comparison to the zoonotic genotypes AI and B and identified the molecular entities responsible for this altered substrate affinity. This lower substrate affinity also correlated with lower cyst formation in the AII genotype.

microbiology↗

Testing for changes in population trends from low-cost ecological count data

O_LIAccurate and up-to-date knowledge of population trends is essential for effective biodiversity conservation, as is assessing the impact of conservation measures designed to alter these trends. Estimating population trends is challenging, however, either due to altogether insufficient data or due to so-called noisy data that do not readily allow for standard statistical analyses. In addition, many existing methods require monitoring data over long periods of time, which is in contrast to the quick interventions needed by conservation projects, especially when endangered species are involved. C_LIO_LITo address these issues, we here present birp, a novel Bayesian tool that maximizes the power to test for population trends and changes in trends under arbitrary designs, including the canonical before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs often used to assess conservation impact. Our model builds on classic Poisson and negative binomial models for ecological count data and infers changes in population trends jointly from data obtained with multiple survey methods such as track counts, camera trap surveys, or distance sampling, and also from limited and noisy data not necessarily collected in standardized ecological surveys. By focusing on the change itself, our method side-steps common challenges of estimating population trends and does not need to know about absolute population densities or detection probabilities. birp is open-source and available as both a standalone command line tool as well as an R-package for fast and easy use. C_LIO_LIWe illustrate the power of our tool through extensive simulations and show that changes in trends are accurately estimated under various designs, even when data are noisy and sparse, and thereby enables biodiversity research also in regions that are remote and difficult to access. C_LIO_LIUsing birp, we further test for changes in population trends of Tasmanian devils in Australia and of apex predators and their main prey in the Central African Republic. Based on these results we give general guidelines on survey designs that maximize the power to detect trends. C_LI

ecology↗

Dissection of barrier dysfunction in organoid-derived human intestinal epithelia induced by Giardia duodenalis

Background and aimsThe protozoa Giardia duodenalis is a major cause of gastrointestinal illness worldwide, but underlying pathophysiological mechanisms remain obscure, partly due to the absence of adequate cellular models. We aimed to overcome these limitations and to recapitulate the authentic series of events in the primary human duodenal tissue by using the human organoid system. MethodsWe established a compartmentalized cellular transwell system with electrophysiological and barrier properties akin to duodenal mucosa and dissected the events leading to G. duodenalis-induced barrier breakdown by functional analysis of transcriptional, electrophysiological and tight junction components. ResultsOrganoid-derived cell layers of different donors showed a time- and parasite load-dependent leak flux indicated by collapse of epithelial barrier upon G. duodenalis infection. Transcriptomic analysis suggested major expression changes in genes contributing to ion transport and tight junction structure. SLC12A2/NKCC1- and CFTR-dependent chloride secretion was reduced early after infection, while changes in the tight junction composition, localization and structural organization occurred later as revealed by immunofluorescence analysis and freeze fracture electron microscopy. ConclusionData suggest a previously unknown sequence of events culminating in intestinal barrier dysfunction upon G. duodenalis infection ignited by alterations of cellular ion transport followed by breakdown of the tight junctional complex and loss of epithelial integrity. The newly established organoid-derived model to study G. duodenalis infection will help enable further molecular dissection of the disease mechanism and, thus, can help to find new options treating disease and infection, in particular relevant for chronic cases of giardiasis.

microbiology↗

A sparse occupancy model to quantify species interactions in time and space

Camera traps and acoustic recording devices are essential tools to quantify the distribution, abundance and behavior of mobile species. Varying detection probabilities among device locations must be accounted for when analyzing such data, which is generally done using occupancy models. We introduce a Bayesian Time-dependent Observation Model for Camera Trap data (Tomcat), suited to estimate relative event densities in space and time. Tomcat allows to learn about the environmental requirements and daily activity patterns of species while accounting for imperfect detection. It further implements a sparse model that deals well will a large number of potentially highly correlated environmental variables. By integrating both spatial and temporal information, we extend the notation of overlap coefficient between species to time and space to study niche partitioning. We illustrate the power of Tomcat through an application to camera trap data of eight sympatrically occurring duiker Cephalophinae species in the savanna - rainforest ecotone in the Central African Republic and show that most species pairs show little overlap. Exceptions are those for which one species is very rare, likely as a result of direct competition.

ecology↗