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  4. Indication of spatially random infection of chlamydia-like organisms in Bufo bufo tadpoles from ponds located in the Geneva metropolitan area
 
preprint

Indication of spatially random infection of chlamydia-like organisms in Bufo bufo tadpoles from ponds located in the Geneva metropolitan area

Vajana, Elia  
•
Widmer, Ivo  
•
Rochat, Estelle  
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August 30, 2018

Occurrence of bacteria belonging to the order Chlamydiales was investigated for the first time in common toad (Bufo bufo) tadpole populations collected from 41 ponds in the Geneva metropolitan area, Switzerland. A Chlamydiales-specific Real-Time PCR was used to detect and amplify the Chlamydiales 16S rRNA-encoding gene from the tails of 375 tadpoles. We found the studied amphibian populations to be infected by "Chlamydia-like organisms" (CLOs) attributable to the genera Similichlamydia, Neochlamydia, Protochlamydia and Parachlamydia (belonging to the family Parachlamydiaceae), Simkania (family Simkaniaceae) and Estrella (family Criblamydiaceae); additionally, DNA from the genus Thermoanaerobacter (family Thermoanaerobacteriaceae) was detected. A global autocorrelation analysis did not reveal a spatial structure in the observed CLOs infection rates, and association tests involving land cover characteristics did not evidence any clear effect on CLOs infection rates in B. bufo. Despite preliminary, these results suggest a random and ubiquitous distribution of CLOs in the environment, which would support the biogeographical expectation "everything is everywhere" for the concerned microorganisms and their amoeba vectors.

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Type
preprint
DOI
10.1101/402487
Author(s)
Vajana, Elia  
Widmer, Ivo  
Rochat, Estelle  
Duruz, Solange  
Selmoni, Oliver  
Vuilleumier, Séverine
Aeby, Sébastien
Greub, Gilbert
Joost, Stéphane  
Date Issued

2018-08-30

Subjects

Bufo bufo

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Chlamydiales

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chlamydia-like organisms

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chlamydia-related bacteria

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emerging pathogens

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intracellular bacteria

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free-living amoebae

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global spatial autocorrelation

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hierarchical clustering

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group comparison analysis

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beta regression

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public health

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Geneva urban area

URL

BioRxiv preprint version

https://www.biorxiv.org/content/early/2018/08/29/402487
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASIG  
RelationURL/DOI

IsSupplementedBy

https://doi.org/10.5281/zenodo.1404188

IsSupplementedBy

https://doi.org/10.5281/zenodo.1404197
Available on Infoscience
August 30, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/148041
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