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Citation for Study 15643

Citation title: "Contrasting Patterns in Mammal?Bacteria Coevolution: Bartonella and Leptospira in Bats and Rodents".

Study name: "Contrasting Patterns in Mammal?Bacteria Coevolution: Bartonella and Leptospira in Bats and Rodents".

This study is part of submission 15643 (Status: Published).

Citation

Lei B., & Olival K.J. 2014. Contrasting Patterns in Mammal?Bacteria Coevolution: Bartonella and Leptospira in Bats and Rodents. PLOS Neglected Tropical Diseases, .

Authors

• Lei B.
• Olival K.J. (submitter) 2123804460

Abstract

Background Emerging bacterial zoonoses in bats and rodents remain relatively understudied. We conduct the first comparative host?pathogen coevolutionary analyses of bacterial pathogens in these hosts, using Bartonella spp. and Leptospira spp. as a model. Methodology/Principal Findings We used published genetic data for 51 Bartonella genotypes from 24 bat species, 129 Bartonella from 38 rodents, and 26 Leptospira from 20 bats. We generated maximum likelihood and Bayesian phylogenies for hosts and bacteria, and tested for coevoutionary congruence using programs ParaFit, PACO, and Jane. Bartonella spp. and their bat hosts had a significant coevolutionary fit (ParaFitGlobal = 1.9703, P≤0.001; m2 global value = 7.3320, P≤0.0001). Bartonella spp. and rodent hosts also indicated strong overall patterns of cospeciation (ParaFitGlobal = 102.4409, P≤0.001; m2 global value = 86.532, P≤0.0001). In contrast, we were unable to reject independence of speciation events in Leptospira and bats (ParaFitGlobal = 0.0042, P = 0.84; m2 global value = 4.6310, P = 0.5629). Separate analyses of New World and Old World data subsets yielded results congruent with analysis from entire datasets. We also conducted event-based cophylogeny analyses to reconstruct likely evolutionary histories for each group of pathogens and hosts. Leptospira and bats had the greatest number of host switches per parasite (0.731), while Bartonella and rodents had the fewest (0.264). Conclusions/Significance In both bat and rodent hosts, Bartonella exhibits significant coevolution with minimal host switching, while Leptospira in bats lacks evolutionary congruence with its host and has high number of host switches. Reasons underlying these variable coevolutionary patterns in host range are likely due to differences in disease-specific transmission and host ecology. Understanding the coevolutionary patterns and frequency of host-switching events between bacterial pathogens and their hosts will allow better prediction of spillover between mammal reservoirs, and ultimately to humans.

Keywords

bacterial pathogens, Bartonella, bats, evolutionary ecology, host-pathogen interactions, Leptospira, parasite evollution, rodents

External links

• DOI: 10.1371/journal.pntd.0002738
• Other URL: http://www.plosntds.org/article/info%3Adoi%2F10.1371%2Fjournal.pntd.0002738

About this resource

• Canonical resource URI: http://purl.org/phylo/treebase/phylows/study/TB2:S15643
• Other versions: Nexus NeXML
• Show BibTeX reference

  		@ARTICLE{TreeBASE2Ref23097,
  	 author = {Bonnie  Lei and Kevin J Olival},
  	 title = {Contrasting Patterns in Mammal?Bacteria Coevolution: Bartonella and Leptospira in Bats and Rodents},
  	 year = {2014},
  	 keywords = {bacterial pathogens, Bartonella, bats, evolutionary ecology, host-pathogen interactions, Leptospira, parasite evollution, rodents},
  	 doi = {10.1371/journal.pntd.0002738},
  	 url = {http://www.plosntds.org/article/info%3Adoi%2F10.1371%2Fjournal.pntd.0002738},
  	 pmid = {},
  	 journal = {PLOS Neglected Tropical Diseases},
  	 volume = {},
  	 number = {},
  	 pages = {},
  	 abstract = {Background
  
  Emerging bacterial zoonoses in bats and rodents remain relatively understudied. We conduct the first comparative host?pathogen coevolutionary analyses of bacterial pathogens in these hosts, using Bartonella spp. and Leptospira spp. as a model.
  
  Methodology/Principal Findings
  
  We used published genetic data for 51 Bartonella genotypes from 24 bat species, 129 Bartonella from 38 rodents, and 26 Leptospira from 20 bats. We generated maximum likelihood and Bayesian phylogenies for hosts and bacteria, and tested for coevoutionary congruence using programs ParaFit, PACO, and Jane. Bartonella spp. and their bat hosts had a significant coevolutionary fit (ParaFitGlobal = 1.9703, P≤0.001; m2 global value = 7.3320, P≤0.0001). Bartonella spp. and rodent hosts also indicated strong overall patterns of cospeciation (ParaFitGlobal = 102.4409, P≤0.001; m2 global value = 86.532, P≤0.0001). In contrast, we were unable to reject independence of speciation events in Leptospira and bats (ParaFitGlobal = 0.0042, P = 0.84; m2 global value = 4.6310, P = 0.5629). Separate analyses of New World and Old World data subsets yielded results congruent with analysis from entire datasets. We also conducted event-based cophylogeny analyses to reconstruct likely evolutionary histories for each group of pathogens and hosts. Leptospira and bats had the greatest number of host switches per parasite (0.731), while Bartonella and rodents had the fewest (0.264).
  
  Conclusions/Significance
  
  In both bat and rodent hosts, Bartonella exhibits significant coevolution with minimal host switching, while Leptospira in bats lacks evolutionary congruence with its host and has high number of host switches. Reasons underlying these variable coevolutionary patterns in host range are likely due to differences in disease-specific transmission and host ecology. Understanding the coevolutionary patterns and frequency of host-switching events between bacterial pathogens and their hosts will allow better prediction of spillover between mammal reservoirs, and ultimately to humans.}
  }
  		

• Show RIS reference

  		TY  - JOUR
  ID  - 23097
  AU  - Lei,Bonnie 
  AU  - Olival,Kevin J
  T1  - Contrasting Patterns in Mammal?Bacteria Coevolution: Bartonella and Leptospira in Bats and Rodents
  PY  - 2014
  KW  - bacterial pathogens
  KW  - Bartonella
  KW  - bats
  KW  - evolutionary ecology
  KW  - host-pathogen interactions
  KW  - Leptospira
  KW  - parasite evollution
  KW  - rodents
  UR  - http://www.plosntds.org/article/info%3Adoi%2F10.1371%2Fjournal.pntd.0002738
  N2  - Background
  
  Emerging bacterial zoonoses in bats and rodents remain relatively understudied. We conduct the first comparative host?pathogen coevolutionary analyses of bacterial pathogens in these hosts, using Bartonella spp. and Leptospira spp. as a model.
  
  Methodology/Principal Findings
  
  We used published genetic data for 51 Bartonella genotypes from 24 bat species, 129 Bartonella from 38 rodents, and 26 Leptospira from 20 bats. We generated maximum likelihood and Bayesian phylogenies for hosts and bacteria, and tested for coevoutionary congruence using programs ParaFit, PACO, and Jane. Bartonella spp. and their bat hosts had a significant coevolutionary fit (ParaFitGlobal = 1.9703, P≤0.001; m2 global value = 7.3320, P≤0.0001). Bartonella spp. and rodent hosts also indicated strong overall patterns of cospeciation (ParaFitGlobal = 102.4409, P≤0.001; m2 global value = 86.532, P≤0.0001). In contrast, we were unable to reject independence of speciation events in Leptospira and bats (ParaFitGlobal = 0.0042, P = 0.84; m2 global value = 4.6310, P = 0.5629). Separate analyses of New World and Old World data subsets yielded results congruent with analysis from entire datasets. We also conducted event-based cophylogeny analyses to reconstruct likely evolutionary histories for each group of pathogens and hosts. Leptospira and bats had the greatest number of host switches per parasite (0.731), while Bartonella and rodents had the fewest (0.264).
  
  Conclusions/Significance
  
  In both bat and rodent hosts, Bartonella exhibits significant coevolution with minimal host switching, while Leptospira in bats lacks evolutionary congruence with its host and has high number of host switches. Reasons underlying these variable coevolutionary patterns in host range are likely due to differences in disease-specific transmission and host ecology. Understanding the coevolutionary patterns and frequency of host-switching events between bacterial pathogens and their hosts will allow better prediction of spillover between mammal reservoirs, and ultimately to humans.
  L3  - 10.1371/journal.pntd.0002738
  JF  - PLOS Neglected Tropical Diseases
  VL  - 
  IS  - 
  ER  -