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Comparative genome analysis of Weissella ceti, an emerging pathogen of farm-raised rainbow trout

Overview of attention for article published in BMC Genomics, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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2 Wikipedia pages

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75 Mendeley
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Title
Comparative genome analysis of Weissella ceti, an emerging pathogen of farm-raised rainbow trout
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2324-4
Pubmed ID
Authors

Henrique C. P. Figueiredo, Siomar C. Soares, Felipe L. Pereira, Fernanda A. Dorella, Alex F. Carvalho, Júnia P. Teixeira, Vasco A. C. Azevedo, Carlos A. G. Leal

Abstract

The genus Weissella belongs to the lactic acid bacteria and includes 18 currently identified species, predominantly isolated from fermented food but rarely from cases of bacteremia in animals. Recently, a new species, designated Weissella ceti, has been correlated with hemorrhagic illness in farm-raised rainbow trout in China, Brazil, and the USA, with high transmission and mortality rates during outbreaks. Although W. ceti is an important emerging veterinary pathogen, little is known about its genomic features or virulence mechanisms. To better understand these and to characterize the species, we have previously sequenced the genomes of W. ceti strains WS08, WS74, and WS105, isolated from different rainbow trout farms in Brazil and displaying different pulsed-field gel electrophoresis patterns. Here, we present a comparative analysis of the three previously sequenced genomes of W. ceti strains from Brazil along with W. ceti NC36 from the USA and those of other Weissella species. Phylogenomic and orthology-based analyses both showed a high-similarity in the genetic structure of these W. ceti strains. This structure is corroborated by the highly syntenic order of their genes and the neutral evolution inferred from Tajima's D. A whole-genome multilocus sequence typing analysis distinguished strains WS08 and NC36 from strains WS74 and WS105. We predicted 10 putative genomic islands (GEI), among which PAIs 3a and 3b are phage sequences that occur only in WS105 and WS74, respectively, whereas PAI 1 is species specific. We identified several genes putatively involved in the basic processes of bacterial physiology and pathogenesis, including survival in aquatic environment, adherence in the host, spread inside the host, resistance to immune-system-mediated stresses, and antibiotic resistance. These data provide new insights in the molecular epidemiology and host adaptation for this emerging pathogen in aquaculture.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
South Africa 1 1%
Brazil 1 1%
Unknown 72 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Student > Master 8 11%
Student > Bachelor 6 8%
Other 5 7%
Student > Doctoral Student 4 5%
Other 13 17%
Unknown 25 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 21%
Biochemistry, Genetics and Molecular Biology 8 11%
Immunology and Microbiology 5 7%
Veterinary Science and Veterinary Medicine 4 5%
Unspecified 4 5%
Other 7 9%
Unknown 31 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 November 2019.
All research outputs
#5,587,371
of 22,836,570 outputs
Outputs from BMC Genomics
#2,267
of 10,655 outputs
Outputs of similar age
#87,657
of 390,618 outputs
Outputs of similar age from BMC Genomics
#55
of 317 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 390,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.