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1.
Sci Rep ; 10(1): 6873, 2020 04 23.
Artículo en Inglés | MEDLINE | ID: mdl-32327721

RESUMEN

Bats provide key ecosystem services such as crop pest regulation, pollination, seed dispersal, and soil fertilization. Bats are also major hosts for biological agents responsible for zoonoses, such as coronaviruses (CoVs). The islands of the Western Indian Ocean are identified as a major biodiversity hotspot, with more than 50 bat species. In this study, we tested 1,013 bats belonging to 36 species from Mozambique, Madagascar, Mauritius, Mayotte, Reunion Island and Seychelles, based on molecular screening and partial sequencing of the RNA-dependent RNA polymerase gene. In total, 88 bats (8.7%) tested positive for coronaviruses, with higher prevalence in Mozambican bats (20.5% ± 4.9%) as compared to those sampled on islands (4.5% ± 1.5%). Phylogenetic analyses revealed a large diversity of α- and ß-CoVs and a strong signal of co-evolution between CoVs and their bat host species, with limited evidence for host-switching, except for bat species sharing day roost sites. These results highlight that strong variation between islands does exist and is associated with the composition of the bat species community on each island. Future studies should investigate whether CoVs detected in these bats have a potential for spillover in other hosts.


Asunto(s)
Alphacoronavirus/genética , Betacoronavirus/genética , Quirópteros/virología , Infecciones por Coronavirus/epidemiología , Infecciones por Coronavirus/veterinaria , Filogenia , Zoonosis/epidemiología , Animales , Secuencia de Bases , Infecciones por Coronavirus/virología , ADN Viral/genética , Ecosistema , Evolución Molecular , Variación Genética , Especificidad del Huésped , Islas del Oceano Índico/epidemiología , Filogeografía/métodos , Prevalencia , ARN Polimerasa Dependiente del ARN/genética , Reacción en Cadena en Tiempo Real de la Polimerasa , Zoonosis/virología
2.
PLoS One ; 3(11): e3715, 2008.
Artículo en Inglés | MEDLINE | ID: mdl-19005563

RESUMEN

Deterministic filters such as competition and prey defences should have a strong influence on the community structure of animals such as insectivorous bats that have life histories characterized by low fecundity, low predation risk, long life expectancy, and stable populations. We investigated the relative influence of these two deterministic filters on the phenotypic structure of insectivorous bat ensembles in southern Africa. We used null models to simulate the random phenotypic patterns expected in the absence of competition or prey defences and analysed the deviations of the observed phenotypic pattern from these expected random patterns. The phenotypic structure at local scales exhibited non-random patterns consistent with both competition and prey defense hypotheses. There was evidence that competition influenced body size distribution across ensembles. Competition also influenced wing and echolocation patterns in ensembles and in functional foraging groups with high species richness or abundance. At the same time, prey defense filters influenced echolocation patterns in two species-poor ensembles. Non-random patterns remained evident even after we removed the influence of body size from wing morphology and echolocation parameters taking phylogeny into account. However, abiotic filters such as geographic distribution ranges of small and large-bodied species, extinction risk, and the physics of flight and sound probably also interacted with biotic filters at local and/or regional scales to influence the community structure of sympatric bats in southern Africa. Future studies should investigate alternative parameters that define bat community structure such as diet and abundance to better determine the influence of competition and prey defences on the structure of insectivorous bat ensembles in southern Africa.


Asunto(s)
Quirópteros/genética , Conducta Competitiva , Fenotipo , Conducta Predatoria , África Austral , Animales , Tamaño Corporal , Ecolocación , Ecología , Análisis de Componente Principal , Alas de Animales/anatomía & histología
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