Biology subjects

Gonzalez-Suarez, M.

Publications and source records attributed to Gonzalez-Suarez, M..

10 recordsLinked to original sources

bioRxiv2026

Uncovering parasite diversity in Ecuadorian wildlife: new trypanosomatid species and novel reservoir hosts for Leishmania amazonensis

Wildlife hosts play important roles in the ecology and transmission of vector-borne parasites, yet information on host associations remains scarce in many biodiverse tropical regions. Within a One Health framework, characterizing parasite diversity in wildlife can improve understanding of ecosystem health and disease emergence. Road-killed animals provide a non-invasive opportunity to investigate host-parasite interactions while minimizing disturbance to natural habitats. We screened 127 liver and intestinal tissue samples obtained from 76 road-killed vertebrates collected near protected areas in two Ecuadorian biodiversity hotspots, the Tropical Andes and Choco-Darien, for trypanosomatids and other vector-borne microorganisms. Molecular analyses targeted the 18S rRNA and cytochrome b genes of trypanosomatids and included additional screening for Trypanosoma cruzi, Trypanosoma rangeli, Rickettsia spp., and piroplasmids. Twenty-nine samples were positive for kinetoplastids. We detected diverse trypanosomatids representing the genera Leishmania, Porcisia, Trypanosoma, Phytomonas, Blastocrithidia, and Obscuromonas, as well as free-living kinetoplastids of the order Neobodonida. The most frequently detected species was Leishmania amazonensis, identified in 17 samples from at least 13 species of birds, reptiles, and caecilians, predominantly in liver tissue, suggesting previously unrecognized host associations. We also identified a putatively novel species of Porcisia and three potentially undescribed avian trypanosomes belonging to the subgenus Ornithotrypanum. No evidence of T. cruzi, T. rangeli, Rickettsia spp., or piroplasmids was found. Our findings identify birds, reptiles, and caecilians as potential reservoir hosts of L. amazonensis. In addition, we substantially expanded current knowledge of kinetoplastid diversity in Ecuadorian wildlife. This study demonstrates the value of road-killed animals as a practical, non-invasive resource for wildlife pathogen surveillance and highlights the importance of integrating biodiversity research into One Health approaches to better understand parasite transmission dynamics in rapidly changing tropical ecosystems. Author summaryMany parasites that affect humans circulate naturally in wildlife, but identifying their animal hosts is often difficult in remote, biodiverse regions. We used road-killed animals as a non-invasive source of biological material to investigate parasites in wildlife from two biodiversity hotspots in Ecuador. By analyzing tissues from birds, reptiles, amphibians, and mammals, we found a remarkable diversity of kinetoplastid flagellates, a group that includes the agents of Chagas disease and leishmaniasis. Although we did not detect human-infective trypanosomes, we repeatedly identified Leishmania amazonensis (a species causing human disease) in birds, reptiles, and caecilians. These vertebrate groups have not previously been recognized as potential hosts of this parasite. We also discovered several undescribed trypanosomatid species, emphasizing how little is known about parasite diversity in tropical wildlife. Our results show that road-killed animals can provide valuable information on host-parasite interactions without disturbing living populations. Such surveillance contributes to One Health efforts by improving our understanding of how environmental change, wildlife, and human health are interconnected.

microbiology↗

bioRxiv2025

A functional Red List Index for monitoring trends in functional diversity

Functional diversity supports ecosystem function and resilience but is in decline due to ongoing extinctions. Despite this, no functional diversity metrics are included in the set of indicators adopted by governments to measure progress towards the Global Biodiversity Framework. Monitoring changes in functional diversity is essential to understand differences between taxonomic and functional diversity trends. The Red List Index (RLI) is a widely used metric in conservation policy, and tracks trends in aggregate extinction risk across sets of species over time. We present a functional Red List Index (fRLI), which weights species by their morphological uniqueness at either local or global scales, to indicate the risk that future extinctions could pose to functional diversity. We applied the fRLI on birds and found higher aggregate extinction risk for both local and global fRLI compared with the standard RLI. Species with higher local uniqueness were more likely to be at higher risk of extinction while we found no difference for globally unique species. Globally or locally unique species were not more likely to show escalation in extinction risk between 1988 and 2024 than less unique species; however, locally unique birds had a lower proportion of their resident range covered by site-based conservation measures, leaving them vulnerable to future decline. The fRLI provides a tool to monitor the impact of extinction risk on functional diversity and could be applied to other taxonomic groups with comprehensive or representative coverage of Red List assessments and trait data.

ecology↗

bioRxiv2025

Threat reduction must be coupled with targeted recovery programmes to conserve global bird diversity

Biodiversity is undergoing severe declines while threats to natural populations continue to escalate worldwide. Ambitious international commitments have been made to preserve biodiversity, with the goal of preventing extinctions and maintaining ecosystem resilience, yet the efficacy of large-scale protection remains unclear. Here we use a trait-based approach to show that global actions - such as the immediate abatement of all threats across at least half of species ranges for [~]10,000 bird species - will only prevent half of projected species extinctions and functional diversity loss attributable to current and future threats in the next 100 years. Nonetheless, targeted recovery programmes prioritizing protection of the 100 most functionally unique threatened birds could avoid 68% of projected functional diversity loss. Actions targeting habitat loss and degradation will prevent the greatest number of species extinctions and proportion of functional diversity loss relative to other drivers of extinction, whereas control of hunting and collection and disturbance and accidental mortality would save fewer species but disproportionately boost functional richness. These findings show that conservation of avian diversity requires action partitioned across all drivers of decline, and highlights the importance of understanding and mitigating the ecological impacts of species extinctions predicted to occur even under optimistic levels of conservation action.

ecology↗

bioRxiv2023

Modelling the probability of meeting IUCN Red List criteria to support reassessments.

Comparative extinction risk analysis - which predicts species extinction risk from correlation with traits or geographical characteristics - has gained research attention as a promising tool to support extinction risk assessment in the IUCN Red List of Threatened Species. However, its uptake has been very limited so far, possibly because these models only predict a species Red List category, without indicating which Red List criteria may be triggered by which such approaches cannot easily be used in Red List assessments. We overcome this implementation gap by developing models that predict the probability of species meeting individual Red List criteria. Using data on the worlds birds, we evaluated the predictive performance of our criterion-specific models and compared it with the typical criterion-blind modelling approach. We compiled data on biological traits (e.g., range size, clutch size) and external drivers (e.g., change in canopy cover) often associated with extinction risk. For each specific criterion, we modelled the relationship between extinction risk predictors and species Red List category under that criterion using ordinal regression models. We found criterion-specific models were better at predicting threatened species compared to a criterion-blind model (higher sensitivity), but less good at predicting not threatened species (lower specificity). As expected, different covariates were important for predicting threat status under different criteria, for example change in annual temperature was important to predict criteria related to population trends, while clutch size was important for criteria related to restricted area of occupancy or small population size. Our criteria-specific method can support Red List assessors by producing outputs that identify species likely to meet specific criteria, and which are the most important predictors: these species can be prioritised for re-evaluation. We expect this new approach to increase the uptake of extinction risk models in Red List assessments, bridging a long-standing research-implementation gap.

ecology↗

bioRxiv2022

Trait diversity metrics can perform well with highly incomplete datasets

O_LICharacterizing changes in trait diversity at large spatial scales provides insight into the impact of human activity on ecosystem structure and function. However, the approach is often based on trait datasets that are incomplete and unrepresentative, with uncertain impacts on trait diversity estimates. C_LIO_LITo address this knowledge gap, we simulated random and biased removal of data from a near complete avian trait dataset (9579 species) and assessed whether trait diversity metrics were robust to data incompleteness with and without using imputation to fill data gaps. Specifically, we compared two commonly used metrics each calculated with two methods: trait richness (calculated with convex hulls and trait probabilities densities) and trait divergence (calculated with distance-based Rao and trait probability densities). C_LIO_LIWithout imputation, estimates of global avian trait diversity (richness and divergence) were robust when 30-70% of species had missing data for four out of 11 continuous traits, depending on severity of bias and the method used. However, when missing traits were imputed based on present morphological trait data and phylogeny, trait diversity metrics consistently remained representative of the true value, even when 70% of species were missing data for four out of 11 traits and data were not missing at random (biased with respect to body mass). Trait probability densities and distance-based Rao were particularly robust to missingness and bias when combined with imputation, with convex hull-based trait richness being less reliable. C_LIO_LIExpanding global morphometric datasets to represent more taxa and traits, and to quantify intraspecific variation, remains a priority. In the meantime, our results show that widely used methods can successfully quantify large-scale trait diversity even when data are missing for two-thirds of species, so long as missing traits are estimated using imputation. C_LI

ecology↗

bioRxiv2022

Research and conservation priorities to protect wildlife from collisions with vehicles

The rapidly expanding global road network poses threats to wildlife, including direct mortality. Given limited knowledge and resources, strategic allocation is critical. We introduce a method to identify priority areas and taxa to study and protect affected by vehicle collisions using Latin America as a case study. In this region high biodiversity and an expanding road network can result in high impacts from roads, yet emerging research expertise offers opportunities for action. To identify priority targets we combined predicted spatially-explicit roadkill rates for birds and mammals with information about the current road network and species conservation status. Priority areas for conservation (with many species susceptible to roadkill but few or inexistent roads) were largely concentrated in the Amazon; while priority areas for research (unstudied regions with many roads and many species susceptible to roadkill) occur in various areas from Southern Mexico to Chile. Priority taxa for conservation reflected studied, roadkill-susceptible groups (eg, vultures and armadillos), while priority taxa for research were defined as either poorly-studied roadkill-susceptible groups or unstudied groups of conservation concern (eg, cuckoos and shrew opossums). Our approach offers a tool that could be applied to other areas and taxa to facilitate a more strategic allocation of resources in conservation and research in road ecology.

ecology↗

bioRxiv2022

Time-of-day defines the efficacy of NAD+ to treat diet-induced metabolic disease by adjusting oscillations of the hepatic circadian clock

The circadian clock is a time-tracking endogenous system which anticipates and coordinates adaptation to daily environmental fluctuations. Circadian misalignment leads to obesity, which is accompanied by reduced levels of the clock-controlled metabolite NAD+. Concomitantly, increasing NAD+ levels is emerging as a therapy for diet-induced obesity and type 2 diabetes; however, the impact of daily fluctuations of NAD+ on these therapies remains unknown. Here, we demonstrate that time-of-day determines the efficacy of NAD+ as a therapy for diet-induced metabolic disease in mice. Restoring regular NAD+ oscillations at the onset of the active phase ameliorates metabolic markers of disease such as body weight and glucose and insulin tolerance, and restores hepatic gene expression related to inflammatory response and lipid metabolism. However, the same treatment designed to increase NAD+ at the onset of the rest phase severely compromises these beneficial responses. Notably, hepatic nutrient-sensing mTOR, AMPK or AKT signaling, became rhythmic specifically in obese mice treated just before the active phase. Remarkably, NAD+ at the onset of the rest phase was accompanied by uncoupled oscillations between the SCN and the hepatic clock, which were phase inverted in the liver, while keeping behavioral rhythms largely intact. These findings demonstrate that the time of day determines the beneficial effects of NAD+-based therapies and pave the way for the basic strategy of a chronobiology-based therapeutic approach.

physiology↗

bioRxiv2022

CaPTrends: A global database of Carnivoran Population Trends

MotivationPopulation trend information is an Essential Biodiversity Variable for monitoring change in biodiversity over time. Here, we present a global dataset of 1122 population trends describing changes in abundance over time in large mammals from the Order Carnivora - some of the worlds most charismatic and functionally important fauna. Main types of variables includedKey data fields for each record: species, coordinates, trend timeframe, methods of data collection and analysis, and population timeseries or summarised trend value. Population trend values are reported using quantitative metrics in 75% of records that collectively represent more than 6500 population estimates. The remaining records qualitatively describe population change (e.g. increase). Spatial location and grainRecords represent locations across the globe (latitude: -51.0 to 80.0; longitude: -166.0 to 166.0) with more trends found within the northern temperate zone. Time period and grainRecords span from 1726 to 2017, with 92% of trends starting after 1950. Major taxa and level of measurementWe conducted a semi-systematic search for population trend data in 87 species from four families in the order Carnivora: Canidae, Felidae, Hyaenidae and Ursidae. We compiled data for 50 of the 87 species. Software format.csv

ecology↗

bioRxiv2020

Mapping extinction risk in the global functional spectra across the tree of life

Although one quarter of the species of plants and vertebrates are threatened with extinction, little is known about how the potential effect of extinctions on the global diversity of ecological strategies. Using trait and phylogenetic information for more than 75,000 species of plants, mammals, birds, reptiles, amphibians and freshwater fishes, we characterized the global functional spectra of each of these groups. Mapping of extinction risk within these spectra revealed that larger species with slower pace of life are universally threatened. Simulated potential extinctions revealed extensive internal reorganizations in the global functional spectra, which are particularly severe for mammals and amphibians. Considering the disproportionate importance of the largest species for ecological processes, our results emphasize the importance of actions to prevent the extinction of the megabiota.Competing Interest StatementThe authors have declared no competing interest.View Full Text

ecology↗

bioRxiv2018

Human activity is altering the world’s zoogeographical regions

Human activity leading to both species introductions and extinctions is widely known to influence diversity patterns on local and regional scales. Yet, it is largely unknown whether the intensity of this activity is enough to affect the configuration of biodiversity at broader levels of spatial organization. Zoogeographical regions, or zooregions, are surfaces of the Earth defined by characteristic pools of species, which reflect ecological, historical, and evolutionary processes acting over millions of years. Consequently, it is widely assumed that zooregions are robust and unlikely to change on a human timescale. Here, however, we show that human-mediated introductions and extinctions can indeed reconfigure the currently recognized zooregions of amphibians, mammals, and birds. In particular, introductions homogenize the African and Eurasian zooregions in mammals; reshape boundaries with the reallocation of Oceania to the New World zooregion in amphibians; and divide bird zooregions by increasing biotic heterogeneity. Furthermore, the combined effect of amphibian introductions and extinctions has the potential to divide two zooregions largely representing the Old and the New World. Interestingly, the robustness of zooregions against changes in species composition may largely explain such zoogeographical changes. Altogether, our results demonstrate that human activities can erode the higher-level organization of biodiversity formed over millions of years. Comparable reconfigurations have previously been detectable in Earths history only after glaciations and mass extinction events, highlighting the profound and far-reaching impact of ongoing human activity and the need to protect the uniqueness of biotic assemblages from the effects of future species introductions and extinctions.

ecology↗