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Mosquito Microbiome Dynamics, a Background for Prevalence and Seasonality of West Nile Virus

Overview of attention for article published in Frontiers in Microbiology, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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1 blog
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39 X users

Citations

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104 Dimensions

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186 Mendeley
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Title
Mosquito Microbiome Dynamics, a Background for Prevalence and Seasonality of West Nile Virus
Published in
Frontiers in Microbiology, April 2017
DOI 10.3389/fmicb.2017.00526
Pubmed ID
Authors

Eva Novakova, Douglas C. Woodhams, Sonia M. Rodríguez-Ruano, Robert M. Brucker, Jonathan W. Leff, Amin Maharaj, Amnon Amir, Rob Knight, James Scott

Abstract

Symbiotic microbial communities augment host phenotype, including defense against pathogen carriage and infection. We sampled the microbial communities in 11 adult mosquito host species from six regions in southern Ontario, Canada over 3 years. Of the factors examined, we found that mosquito species was the largest driver of the microbiota, with remarkable phylosymbiosis between host and microbiota. Seasonal shifts of the microbiome were consistently repeated over the 3-year period, while region had little impact. Both host species and seasonal shifts in microbiota were associated with patterns of West Nile virus (WNV) in these mosquitoes. The highest prevalence of WNV, with a seasonal spike each year in August, was in the Culex pipiens/restuans complex, and high WNV prevalence followed a decrease in relative abundance of Wolbachia in this species. Indeed, mean temperature, but not precipitation, was significantly correlated with Wolbachia abundance. This suggests that at higher temperatures Wolbachia abundance is reduced leading to greater susceptibility to WNV in the subsequent generation of C. pipiens/restuans hosts. Different mosquito genera harbored significantly different bacterial communities, and presence or abundance of Wolbachia was primarily associated with these differences. We identified several operational taxonomic units (OTUs) of Wolbachia that drive overall microbial community differentiation among mosquito taxa, locations and timepoints. Distinct Wolbachia OTUs were consistently found to dominate microbiomes of Cx. pipiens/restuans, and of Coquilletidia perturbans. Seasonal fluctuations of several other microbial taxa included Bacillus cereus, Enterococcus, Methylobacterium, Asaia, Pantoea, Acinetobacter johnsonii, Pseudomonas, and Mycoplasma. This suggests that microbiota may explain some of the variation in vector competence previously attributed to local environmental processes, especially because Wolbachia is known to affect carriage of viral pathogens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 185 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 20%
Researcher 34 18%
Student > Master 31 17%
Student > Bachelor 17 9%
Student > Postgraduate 9 5%
Other 27 15%
Unknown 30 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 30%
Biochemistry, Genetics and Molecular Biology 33 18%
Immunology and Microbiology 16 9%
Medicine and Dentistry 10 5%
Environmental Science 8 4%
Other 26 14%
Unknown 37 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2017.
All research outputs
#1,341,948
of 25,658,139 outputs
Outputs from Frontiers in Microbiology
#796
of 29,664 outputs
Outputs of similar age
#25,991
of 324,630 outputs
Outputs of similar age from Frontiers in Microbiology
#18
of 498 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 498 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.