Literature detail

Reproduction of East-African bats may guide risk mitigation for coronavirus spillover.

Diego Montecino-Latorre1 Tracey Goldstein1 Kirsten Gilardi1,2 David Wolking1 Elizabeth Van Wormer1,3 Rudovick Kazwala4 Benard Ssebide5 Julius Nziza6 Zikankuba Sijali4 Michael Cranfield1,2 PREDICT Consortium Jonna A K Mazet1
Affiliations 6 institutions
  1. One Health Institute, School of Veterinary Medicine, University of California, Davis, CA USA.
  2. Gorilla Doctors, Mountain Gorilla Veterinary Project Inc, Davis, CA USA.
  3. Institute of Agriculture and Natural Resources, School of Natural Resources, University of Nebraska, Lincoln, NE USA.
  4. College of Veterinary Medicine and Biomedical Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
  5. Gorilla Doctors, Mountain Gorilla Veterinary Project Inc., Kampala, Uganda.
  6. Gorilla Doctors, Mountain Gorilla Veterinary Project Inc., Musanze, Rwanda.
PMID 33824945 2020 One Health Outlook eng epublish
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Article

Publication summary

Bats provide important ecosystem services; however, current evidence supports that they host several zoonotic viruses, including species of the <i>Coronaviridae</i> family. If bats in close interaction with humans host and shed coronaviruses with zoonotic potential, such as the Severe Acute Respiratory Syndrome virus, spillover may occur. Therefore, strategies aiming to mitigate potential spillover and disease emergence, while supporting the conservation of bats and their important ecological roles are needed. Past research suggests that coronavirus shedding in bats varies seasonally following their reproductive cycle; however, shedding dynamics have been assessed in only a few species, which does not allow for generalization of findings across bat taxa and geographic regions. To assess the generalizability of coronavirus shedding seasonality, we sampled hundreds of bats belonging to several species with different life history traits across East Africa at different times of the year. We assessed, via Bayesian modeling, the hypothesis that chiropterans, across species and spatial domains, experience seasonal trends in coronavirus shedding as a function of the reproductive cycle. We found that, beyond spatial, taxonomic, and life history differences, coronavirus shedding is more expected when pups are becoming independent from the dam and that juvenile bats are prone to shed these viruses. These findings could guide policy aimed at the prevention of spillover in limited-resource settings, where longitudinal surveillance is not feasible, by identifying high-risk periods for coronavirus shedding. In these periods, contact with bats should be avoided (for example, by impeding or forbidding people access to caves). Our proposed strategy provides an alternative to culling - an ethically questionable practice that may result in higher pathogen levels - and supports the conservation of bats and the delivery of their key ecosystem services.

Bats Coronavirus East-Africa Reproductive cycle Seasonal Shedding Weaning

Structured evidence records

Evidence records

2 total
1 records
Extraction confidence 0.90
Key finding

Coronavirus shedding in East-African bats peaks during the weaning period when juveniles become independent, indicating reproductive seasonality influences reservoir shedding dynamics.

Host
Location
Supporting text

We found that, beyond spatial, taxonomic, and life history differences, coronavirus shedding is more expected when pups are becoming independent from the dam and that juvenile bats are prone to shed these viruses.

Method
field sampling; Bayesian modeling
Geographic raw
East Africa
1 records
Extraction confidence 0.95
Key finding

Hundreds of bats from multiple species in East Africa were sampled throughout the year to monitor seasonal patterns of coronavirus shedding associated with reproduction.

Host
Location
Supporting text

To assess the generalizability of coronavirus shedding seasonality, we sampled hundreds of bats belonging to several species with different life history traits across East Africa at different times of the year.

Method
sampling
Geographic raw
East Africa