Biology subjects

Jansen, P. A.

Publications and source records attributed to Jansen, P. A..

5 recordsLinked to original sources

bioRxiv2025

Predictors of extinction risk in large tropical forest mammals: from global to local

Studies can only guide conservation if their findings are informative at the scales at which practitioners and policymakers operate. Yet, it is rarely tested whether large-scale studies reach similar conclusions to the smaller-scale studies on which conservation traditionally relies. We examine whether predictors of extinction risk are consistent across global, regional, and local scales, for 210 tropical forest mammal species ([≥] 1 kg) that existed during the last 130,000 years, in 64 tropical forests, across three biogeographical realms. We found consistent predictors of extinction risk (body mass, generation length, diet, brain volume and scansoriality) when analyses differed only in their spatial resolution. However, predictors differed when analyses also varied in their temporal extent. Macroecological findings about extinction risk can, thus, inform conservation at smaller scales, but they risk misidentifying threatened species if differences in temporal extent are not recognised.

ecology↗

bioRxiv2024

OPTIMIZING SEGMENTATION IN OCCUPANCY MODELLING OF CAMERA-TRAP DATA

O_LIAccurate estimation of species abundances is a common challenge in conservation biology, particularly when abundances are compared in space or time. Occupancy modelling provides relative abundance estimates from camera-trapping data without the need for individual recognition. This requires segmentation of continuous records into a series of intervals with either detection or non-detection. While the segmentation method may have profound effects on the accuracy of occupancy modelling, no form of segmentation optimization is yet available. C_LIO_LIWe assessed how segmentation, defined by interval length and number, influences the accuracy of predictions by the Royle-Nichols occupancy model and how this relationship depends on species density, study duration, and the number of sampling points. We simulated capture data using an individual-based model in which we varied the species densities between study locations, and then fitted models using different segmentations. Using the simulation results, we developed a simple tool for choosing optimal segmentation and the best minimum number of intervals to use. To provide an example, we used the optimization tool on actual data from a camera-trapping study in Western Equatorial Africa and compared relative wildlife abundances between two forest management types. C_LIO_LIWe found that the optimum interval length for the Royle-Nichols occupancy model varied with species density, study duration, and the number of sampling points. By analyzing the empirical data, we found that optimal segmentation and minimum number of intervals differed substantially between species. Modelling with optimized, species-specific interval numbers and lengths yielded more conservative outcomes (i.e. fewer significant effects) than did modelling with fixed numbers and lengths. Furthermore, the choice of interval length can affect the direction of relationships. C_LIO_LIOur results indicate that the interval length is by no means a parameter to be standardized at a given value but should be carefully chosen based on the properties of the data at hand. This study shows that the arbitrary segmentation that is commonly used in occupancy modelling may not be optimal. Our tool helps to optimize segmentation, increases the accuracy of relative abundance estimations, and thus facilitates the use of camera-trapping studies to evaluate conservation measures. C_LI

ecology↗

bioRxiv2024

The moon's influence on the activity of tropical forest mammals

Changes in lunar illumination alter the balance of risks and opportunities for animals at night, influencing activity patterns and species interactions. Our knowledge about behavioral responses to moonlight is incomplete, yet it can serve to assess and predict how species respond to environmental changes such as light pollution or loss of canopy cover. As a baseline, we wish to examine if and how wildlife responds to the lunar cycle in some of the darkest places inhabited by terrestrial mammals: the floors of tropical forests. We quantified the prevalence and direction of activity responses to the moon in tropical forest mammal communities. Using custom Bayesian multinomial logistic regression models, we analyzed long-term camera trapping data on 88 mammal species from 17 protected forests on three continents. We also tested the hypothesis that nocturnal species are more prone to avoiding moonlight, as well as quantified diel activity shifts in response to moonlight. We found that, apparent avoidance of moonlight (lunar phobia, 16% of species) is more common than apparent attraction (lunar philia, 3% of species). The three species exhibiting lunar philia followed diurnal or diurnal-crepuscular activity patterns. Lunar phobia, detected in 14 species, is more pronounced with higher degree of nocturnality, and is disproportionately common among rodents. Strongly lunar phobic species were less active during moonlit nights, which in most cases also decreases their total daily activity. Our findings indicate that moonlight influences animal behavior even beneath the forest canopy. This suggests that such impacts may be exacerbated in degraded and fragmented forests. Additionally, the effect of artificial light on wild communities is becoming increasingly apparent. Our study offers empirical data from protected tropical forests as a baseline for comparison with more disturbed areas, together with a robust approach for detecting activity shifts in response to environmental change. Open Research statement: The data and code for performing the analyses described in this article are available at https://github.com/richbi/TropicalMoon.

ecology↗

bioRxiv2021

Preclinical characterization and target validation of the antimalarial pantothenamide MMV693183

Drug resistance and a dire lack of transmission-blocking antimalarials hamper malaria elimination. Here, we present the pantothenamide MMV693183 as a first-in-class acetyl-CoA synthetase (ACS) inhibitor to enter preclinical development. Our studies demonstrated attractive drug-like properties and in vivo efficacy in a humanized mouse model of Plasmodium falciparum infection. The compound showed exceptional in vitro activity against P. falciparum and P. vivax clinical isolates, and potently blocked P. falciparum transmission to Anopheles mosquitoes. Genetic and biochemical studies identified ACS as the target of the MMV693183-derived antimetabolite, CoA-MMV693183. MMV693183 was well adsorbed after oral administration in mice, rats and dogs. Pharmacokinetic - pharmacodynamic modelling predicted that a single 30 mg oral dose is sufficient to cure a malaria infection in humans. In conclusion, the ACS-targeting compound MMV693183 represents a promising addition to the portfolio of antimalarials in (pre)clinical development with a novel mode of action for the treatment of malaria and blocking transmission.

microbiology↗

bioRxiv2018

Antimalarial pantothenamide metabolites target acetyl-CoA synthesis in Plasmodium falciparum

Malaria eradication is critically dependent on novel drugs that target resistant Plasmodium parasites and block transmission of the disease. Here we report the discovery of potent pantothenamide bioisosteres that are active against blood-stage P. falciparum and also block onward mosquito transmission. These compounds are resistant to degradation by serum pantetheinases, show favorable pharmacokinetic properties and clear parasites in a humanized rodent infection model. Metabolomics revealed that CoA biosynthetic enzymes convert pantothenamides into drug-conjugates that interfere with parasite acetyl-CoA anabolism. In vitro generated resistant parasites showed mutations in acetyl-CoA synthetase and acyl-CoA synthetase 11, confirming the key roles of these enzymes in the sensitivity to pantothenamides. These new pantothenamides provide a promising class of antimalarial drugs with a unique mode of action.\n\nOne sentence summaryPantothenamides form antimetabolites that interfere with acetyl-CoA metabolism in the human malaria parasite Plasmodium falciparum

pharmacology and toxicology↗