Literature detail

Cross-Species Transmission of Bat Coronaviruses in the Americas: Contrasting Patterns between Alphacoronavirus and Betacoronavirus.

Diego A Caraballo1,2
Affiliations 2 institutions
  1. CONICET-Universidad de Buenos Aires, Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), Ciudad Universitaria-Pabellón II, Buenos Aires, Argentina.
  2. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Buenos Aires, Argentina.
PMID 35770987 2022 Microbiol Spectr eng ppublish
PubMed DOI Browse context

Article

Publication summary

Bats harbor the largest number of coronavirus (CoV) species among mammals, serving as major reservoirs of alphaCoVs and betaCoVs, which can jump between bat species or to different mammalian hosts, including humans. Bat-CoV diversity is correlated with host taxonomic diversity, with the highest number of CoV species found in areas with the highest levels of bat species richness. Although the Americas harbor a unique and distinctive CoV diversity, no cross-species transmission (CST) or phylogeographic analysis has yet been performed. This study analyzes a large sequence data set from across the Americas through a Bayesian framework to understand how codivergence and cross-species transmission have shaped long-term bat-CoV evolution and ultimately identify bat hosts and regions where the risk of CST is the highest. Substantial levels of CST were found only among alphaCoVs. In contrast, cospeciation prevailed along the evolution of betaCoVs. Brazil is the center of diversification for both alpha and betaCoVs, with the highest levels of bat species richness. The bat family Phyllostomidae has played a key role in the evolution of American bat-CoVs, supported by the highest values of host transition rates. Although the conclusions drawn from this study are supported by biological/ecological evidence, it is likely that novel lineages will be discovered, which could also reveal undetected CSTs given that sequences are available from 11 of the 35 countries encompassing the Americas. The findings of this study can be useful for conducting targeted discovery of bat-CoVs in the region, especially in countries of the Americas with no reported sequences. <b>IMPORTANCE</b> Coronaviruses (CoVs) have a strong zoonotic potential due to their high rates of evolvability and their capacity for overcoming host-specific barriers. Bats harbor the largest number of CoV species among mammals, with the highest CoV diversity found in areas with the highest levels of bat species richness. Understanding their origin and patterns of cross-species transmission is crucial for pandemic preparedness. This study aims to understand how bat-CoVs diversify in the Americas, circulate among and transmit between bat families and genera, and ultimately identify bat hosts and regions where the risk of CoV spillover is the highest.

bats codivergence coronavirus cross-species transmission host shift phylogeny spillover virus Alphacoronavirus Chiroptera Coronavirus Coronavirus Infections Animals Bayes Theorem Betacoronavirus Evolution, Molecular Genome, Viral Humans

Structured evidence records

Evidence records

5 total
2 records
Extraction confidence 0.90
Key finding

Phylogenetic analysis of bat coronavirus sequences indicated that Alphacoronaviruses frequently undergo cross-species transmission, while Betacoronaviruses evolve mainly through cospeciation.

Host
Location
Not specified
Supporting text

This study analyzes a large sequence data set from across the Americas through a Bayesian framework to understand how codivergence and cross-species transmission have shaped long-term bat-CoV evolution. Substantial levels of CST were found only among alphaCoVs, whereas cospeciation prevailed along the evolution of betaCoVs.

Genes or proteins
whole genome
Analysis methods
phylogenetic analysis; Bayesian framework; phylogeographic analysis
Extraction confidence 0.90
Key finding

Comparative phylogenetic analysis showed that Beta­coronaviruses exhibit patterns of cospeciation with bat hosts, implying host-virus codivergence rather than frequent host jumps.

Host
Location
Not specified
Supporting text

Substantial levels of CST were found only among alphaCoVs. In contrast, cospeciation prevailed along the evolution of betaCoVs.

Genes or proteins
whole genome
Analysis methods
phylogenetic analysis; Bayesian framework; phylogeographic analysis
1 records
Extraction confidence 0.98
Key finding

Alphacoronaviruses showed substantial cross-species transmission among bat species, whereas Betacoronaviruses mainly followed cospeciation patterns.

Location
Supporting text

Substantial levels of CST were found only among alphaCoVs. In contrast, cospeciation prevailed along the evolution of betaCoVs. Bats harbor the largest number of coronavirus (CoV) species among mammals, serving as major reservoirs of alphaCoVs and betaCoVs, which can jump between bat species.

Method
Bayesian framework; sequence data analysis
Study design
phylogenetic analysis
Transmission direction
animal-to-animal
Geographic raw
Americas
1 records
Extraction confidence 0.75
Key finding

Bat species, particularly in Brazil and across the Americas, act as ecological reservoirs for alpha- and beta-coronaviruses, with CoV diversity linked to bat species richness.

Host
Location
Supporting text

Bats harbor the largest number of coronavirus (CoV) species among mammals, serving as major reservoirs of alphaCoVs and betaCoVs... Bat-CoV diversity is correlated with host taxonomic diversity, with the highest number of CoV species found in areas with the highest levels of bat species richness. Brazil is the center of diversification for both alpha and betaCoVs, with the highest levels of bat species richness.

Method
Bayesian framework; phylogeographic analysis
Geographic raw
Brazil
Country inferred
Brazil
1 records
Extraction confidence 0.60
Key finding

Bat coronavirus sequence data from the Americas were analyzed to identify bat hosts and regions with the highest cross-species transmission risk, indicating surveillance of bat-CoV diversity and distribution.

Host
Location
Supporting text

This study analyzes a large sequence data set from across the Americas through a Bayesian framework to understand how codivergence and cross-species transmission have shaped long-term bat-CoV evolution and ultimately identify bat hosts and regions where the risk of CST is the highest.

Method
Bayesian analysis; sequence data analysis
Geographic raw
Americas