Longitudinal surveillance of SARS-like coronaviruses in bats by quantitative real-time PCR

Wang, Mei Niang; Zhang, Wei; Yougang, Gao; Hu, Ben; Ge, Xin; Yang, Xing; Zhang, Yun Zhi; Shi, Zheng Li

doi:10.1007/s12250-015-3703-3

Cited by 22 publications

(22 citation statements)

References 16 publications

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“…Similar seasonality of coronavirus shedding has been observed in Germany, Australia, Thailand, China, and Ghana (West Africa). In the specific species involved in these previous studies, higher coronavirus shedding and viral loads were detected weeks after the birth pulse [47][48][49][50][51][52]85]. Further, and consistent with our results, detection of higher levels of coronavirus in juveniles has been reported in micro-as well megabats from Africa, Asia, Europe, and North and South America [22,48,50,[86][87][88][89].…”

Section: Discussionsupporting

confidence: 91%

“…Once the timing of these events was confirmed or inferred, we were able to establish 2 seasons that occur at least once during the year across all observed bat species: i) when juveniles are being weaned and female-pup contact decreases ("Recent weaning" [RW]) and ii) the rest of the year (hereafter "N-RW" for "Not recent weaning"). We chose to evaluate risk of CoV shedding for the first period because past longitudinal studies with microchiropterans in Germany and China found higher CoV-RNA loads approximately 1 month after parturition [51,52]. Similarly, peaks were found 2 months after the formation of a maternity colony of Myotis macropus [49], which would match a post weaning period for that species.…”

Section: Bat Life Historymentioning

confidence: 99%

“…Longitudinal sampling with specific species has shown that the proportion of bats shedding CoVs varies seasonally [47][48][49][50] and that fecal CoV-RNA loads can also be heterogeneous over time [51,52]. If exposure through contact with bat feces is a main pathway for zoonotic CoV spillover to humans but shedding of these pathogens is not uniform over time, then mitigation strategies aiming to prevent bat CoV-shed exposure could be targeted temporally, directed especially at highrisk seasons.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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Background: Bats provide important ecosystem services; however, current evidence supports that they host several zoonotic viruses, including species of the Coronaviridae 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. Methods: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. Results: 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.Conclusions: 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 cullingan ethically questionable practice that may result in higher pathogen levelsand supports the conservation of bats and the delivery of their key ecosystem services.

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Section: Discussionsupporting

confidence: 91%

Section: Bat Life Historymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…These data indicate that SARSr-CoVs have wide geographical spread and might have been prevalent in bats for a very long time. A 5-year longitudinal study revealed the coexistence of highly diverse SARSr-CoVs in bat populations in one cave of Yunnan province, China 18,20,55 . This location is a diversity hot spot, and the SARSr-CoVs in this location contain all the genetic diversity found in other locations of China.…”

Section: Animal Origin and Evolution Of Sars-covmentioning

confidence: 99%

Origin and evolution of pathogenic coronaviruses

2018

Self Cite

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“…31e37 Second, great genetic diversity of SARS-CoVs were discovered in one particular population of R. sinicus in China by a longitudinal surveillance. 31,38 Third and most importantly, two SL-CoV strains were isolated in Vero cells. These two isolates are closely related to the progenitor of the SARS-CoV not only in genomic sequences but also in receptor usage 31,34 (Figs.…”

Section: Natural Reservoirs Of Sars-covmentioning

confidence: 99%

Evolution of SARS Coronavirus and the Relevance of Modern Molecular Epidemiology

Shi

Wang

2017

Genetics and Evolution of Infectious Diseases

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Longitudinal surveillance of SARS-like coronaviruses in bats by quantitative real-time PCR

Cited by 22 publications

References 16 publications

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

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

Origin and evolution of pathogenic coronaviruses

Evolution of SARS Coronavirus and the Relevance of Modern Molecular Epidemiology

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