The phylogenetic range of bacterial and viral pathogens of vertebrates
- PMID: 32390272
- DOI: 10.1111/mec.15463
The phylogenetic range of bacterial and viral pathogens of vertebrates
Abstract
Many major human pathogens are multihost pathogens, able to infect other vertebrate species. Describing the general patterns of host-pathogen associations across pathogen taxa is therefore important to understand risk factors for human disease emergence. However, there is a lack of comprehensive curated databases for this purpose, with most previous efforts focusing on viruses. Here, we report the largest manually compiled host-pathogen association database, covering 2,595 bacteria and viruses infecting 2,656 vertebrate hosts. We also build a tree for host species using nine mitochondrial genes, giving a quantitative measure of the phylogenetic similarity of hosts. We find that the majority of bacteria and viruses are specialists infecting only a single host species, with bacteria having a significantly higher proportion of specialists compared to viruses. Conversely, multihost viruses have a more restricted host range than multihost bacteria. We perform multiple analyses of factors associated with pathogen richness per host species and the pathogen traits associated with greater host range and zoonotic potential. We show that factors previously identified as important for zoonotic potential in viruses-such as phylogenetic range, research effort, and being vector-borne-are also predictive in bacteria. We find that the fraction of pathogens shared between two hosts decreases with the phylogenetic distance between them. Our results suggest that host phylogenetic similarity is the primary factor for host-switching in pathogens.
Keywords: emerging infectious diseases; host jumps; host range; phylogenetics; zoonotic diseases.
© 2020 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.
Comment in
-
Expanding host specificity and pathogen sharing beyond viruses.Mol Ecol. 2020 Sep;29(17):3170-3172. doi: 10.1111/mec.15573. Epub 2020 Aug 17. Mol Ecol. 2020. PMID: 32803760
Similar articles
-
Expanding host specificity and pathogen sharing beyond viruses.Mol Ecol. 2020 Sep;29(17):3170-3172. doi: 10.1111/mec.15573. Epub 2020 Aug 17. Mol Ecol. 2020. PMID: 32803760
-
Host and viral traits predict zoonotic spillover from mammals.Nature. 2017 Jun 29;546(7660):646-650. doi: 10.1038/nature22975. Epub 2017 Jun 21. Nature. 2017. PMID: 28636590 Free PMC article.
-
Host specificity in a diverse Neotropical tick community: an assessment using quantitative network analysis and host phylogeny.Parasit Vectors. 2016 Jun 29;9(1):372. doi: 10.1186/s13071-016-1655-6. Parasit Vectors. 2016. PMID: 27357506 Free PMC article.
-
Host specificity determinants as a genetic continuum.Trends Microbiol. 2012 Feb;20(2):88-93. doi: 10.1016/j.tim.2011.11.006. Epub 2011 Dec 21. Trends Microbiol. 2012. PMID: 22196375 Review.
-
The evolution and genetics of virus host shifts.PLoS Pathog. 2014 Nov 6;10(11):e1004395. doi: 10.1371/journal.ppat.1004395. eCollection 2014 Nov. PLoS Pathog. 2014. PMID: 25375777 Free PMC article. Review.
Cited by
-
Machine learning identification of Pseudomonas aeruginosa strains from colony image data.PLoS Comput Biol. 2023 Dec 13;19(12):e1011699. doi: 10.1371/journal.pcbi.1011699. eCollection 2023 Dec. PLoS Comput Biol. 2023. PMID: 38091365 Free PMC article.
-
A simple model for how the risk of pandemics from different virus families depends on viral and human traits.Math Biosci. 2022 Jan;343:108732. doi: 10.1016/j.mbs.2021.108732. Epub 2021 Nov 6. Math Biosci. 2022. PMID: 34748882 Free PMC article.
-
Socioeconomic and Eco-Environmental Drivers Differentially Trigger and Amplify Bacterial and Viral Outbreaks of Zoonotic Pathogens.Microorganisms. 2025 Mar 7;13(3):621. doi: 10.3390/microorganisms13030621. Microorganisms. 2025. PMID: 40142514 Free PMC article.
-
Biological invasions facilitate zoonotic disease emergences.Nat Commun. 2022 Apr 1;13(1):1762. doi: 10.1038/s41467-022-29378-2. Nat Commun. 2022. PMID: 35365665 Free PMC article.
-
Metagenomic evidence for a polymicrobial signature of sepsis.Microb Genom. 2021 Sep;7(9):000642. doi: 10.1099/mgen.0.000642. Microb Genom. 2021. PMID: 34477543 Free PMC article.
References
REFERENCES
-
- Albery, G. F., Eskew, E. A., Ross, N., & Olival, K. J. (2019). Predicting the global mammalian viral sharing network using phylogeography. BioRxiv, 732255. https://doi.org/10.1101/732255
-
- Altenhoff, A. M., Glover, N. M., Train, C.-M., Kaleb, K., Warwick Vesztrocy, A., Dylus, D., … Dessimoz, C. (2018). The OMA orthology database in 2018: Retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces. Nucleic Acids Research, 46(Database issue), D477-D485. https://doi.org/10.1093/nar/gkx1019
-
- Andersen, K. G., Rambaut, A., Lipkin, W. I., Holmes, E. C., & Garry, R. F. (2020). The proximal origin of SARS-CoV-2. Nature Medicine, 26, (4), 450-452. http://dx.doi.org/10.1038/s41591-020-0820-9
-
- Berger, S. A. (2016). GIDEON Guide to Medically Important Bacteria: 2016. Los Angeles, CA: GIDEON Informatics, Incorporated.
-
- Bonneaud, C., Weinert, L. A., & Kuijper, B. (2019). Understanding the emergence of bacterial pathogens in novel hosts. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1782), 20180328. https://doi.org/10.1098/rstb.2018.0328
Publication types
MeSH terms
Associated data
LinkOut - more resources
Full Text Sources
Other Literature Sources