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Biology subjects

Simonis, M. C.

Publications and source records attributed to Simonis, M. C..

3 recordsLinked to original sources

Neotropical bats as bioindicators for emerging zoonoses in Central America: A case study identifying Trypanosoma cruzi in bats from Belize using metagenomic next-generation sequencing

Emerging zoonoses remain a global public health concern. Surveillance of infectious and vector-borne diseases is vital for predicting and mitigating detrimental effects of zoonotic spillover events. Beyond assessing what microorganisms are circulating in specific environments, it is important to understand how potential reservoir hosts, especially animals such as bats, participate in pathogen transmission. Bats can host and potentially spread infections caused by bacteria, viruses, fungi, and protozoa. However, bats can also act as bioindicators that test positive for pathogenic microorganisms without necessarily contributing to the pathogen replication cycle. Metagenomic next-generation sequencing (mNGS) provides an efficient means to broadly screen for pathogens, although microorganism selectivity can sometimes be lower than targeted approaches. Pairing mNGS results with higher-sensitivity tests such as quantitative PCR (qPCR) can validate results and together these tools provide a relatively fast and reliable method for conducting surveillance. To test this approach, we surveyed the types of microorganisms circulating in Belize by collecting 263 blood samples from 20 different bat species captured in the Orange Walk District in 2019, 2022, and 2023. We used mNGS to initially characterize the microbial communities and qPCR to confirm presence and intensity of human pathogens of interest. We detected 1,430 different microorganisms with some relevance to human or animal health, including the protozoan Trypanosoma cruzi which was detected in the phyllostomid bats Desmodus rotundus and Artibeus jamaicensis. qPCR confirmed the presence and intensity of Trypanosoma cruzi in mNGS-positive bat samples. We documented the types of pathogenic microorganisms circulating throughout the bat community in northern Belize to demonstrate the capacity for bats to serve as bioindicators. Author SummaryTracking the spread of new and emerging zoonotic diseases is a major component of global health research. Pathogen surveillance is a vital part of predicting and reducing the consequences of disease outbreaks. Bats are a diverse group of mammals that can host and potentially transmit many pathogens that pose potential risks to human and environmental health. Our study surveyed blood samples (n=263) from 20 bat species collected from the Orange Walk District of Belize in 2019, 2022, and 2023. Metagenomic next-generation sequencing identified 1,430 different microorganisms that are considered potentially relevant to human or animal health. Among the microorganisms detected was Trypanosoma cruzi (T. cruzi), the protozoan causative agent of Chagas disease. T. cruzi was of particular interest due to its presence throughout the Americas and relevance to public health. We surveyed the types of microorganisms circulating throughout bat populations in northern Belize to demonstrate the ability of bats to act as bioindicators.

microbiology↗

A paired analysis of mercury among non-invasive tissues to inform bat conservation monitoring

Contaminant exposure can harm wildlife. However, measuring contaminant exposure in wildlife can be challenging due to accessibility of species and/or sampling tissue matrices needed to answer research questions regarding exposure. For example, in bats and other taxa that roost, it may be best to collect pooled feces from colonies for minimal disturbance to species of conservation concern, but fecal contaminant concentrations do not provide contaminant bioaccumulation estimates. Thus, there is a need for quantifying relationships between sample matrices for measuring contaminant exposure to answer research questions pertaining to wildlife health and addressing conservation needs. Our goal was to determine relationships between fecal and fur total mercury (THg). To do so, we collected paired feces and fur from Mexican free-tailed bats (Tadarida brasiliensis) in summer 2023 in western Oklahoma at a maternity roost with no known Hg point source. We analyzed THg in each sample matrix for each individual (n = 48). We found no relationship between individual fecal and fur THg. However, when averaged, fur THg was 6.11 times greater than fecal THg. This factor can be used as a screening-level risk assessment of under-roost feces, which could then be followed by direct assessments of fur THg concentrations and health impacts. We encourage the use of this conversion factor across other insectivorous bat species and sites for estimating initial risks of contaminant exposure with minimal disturbance to species of conservation concern, when timely research for conservation actions are needed, and when a contaminant point source is not yet known. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/587502v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@4bac41org.highwire.dtl.DTLVardef@1a13deorg.highwire.dtl.DTLVardef@e8e58org.highwire.dtl.DTLVardef@1a33a9d_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical abstract created in BioRender under a free subscription. Cave icon created by artist Freepik at https://www.flaticon.com/free-icons/cave. HighlightsO_LIUnder-roost sampling for contaminant exposure minimizes species disturbance C_LIO_LIContaminant exposure relationships in tissues can aide in measuring wildlife health C_LIO_LIWe sampled Tadarida brasilliensis for paired fecal and fur total Hg (THg) C_LIO_LITHg in fur averaged 6.11 times greater than feces C_LIO_LIThis factor can be used as an initial risk assessment for under-roost fecal sampling C_LIO_LIMore invasive follow-up sampling (bat fur) can be justified following risk assessment C_LI

ecology↗

A general framework for modeling pathogen transmission in co-roosting host communities

Cross-species transmission of pathogens can be facilitated by frequent contact among wildlife. Cross-species transmission is often driven by phylogenetic similarity between host species, but the role this plays when multiple host species co-roost is unknown. We developed a generalizable framework for understanding how cross-species transmission is driven by contact among co-roosting species spanning evolutionary similarities and the net impact on roost-level infection prevalence. We developed ordinary differential equation models describing population and infection dynamics between two and three co-roosting species. We parameterized models using co-roosting Neotropical bat systems, with interspecific transmission exponentially declining with phylogenetic distance. To assess the relative contribution of contact rates and phylogenetic similarity, we co-varied intraspecific transmission rates and phylogenetic distances while considering sensitivity to host and pathogen traits. While our models converged on similar equilibria under high intraspecific transmission or long durations of infection and immunity or latency, simulations with lower intraspecific transmission and shorter such periods revealed roost-level prevalence was greatest when hosts were most closely related. However, we identified regions of parameter space where roost-level prevalence also maximized when hosts were distantly related, driven by species-specific traits. Our generalizable models are adaptable to other co-roosting systems and informs our understanding of pathogen spillover.

ecology↗