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Comparative genome analysis provides deep insights into Aeromonas hydrophila taxonomy and virulence-related factors

Overview of attention for article published in BMC Genomics, September 2018
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Title
Comparative genome analysis provides deep insights into Aeromonas hydrophila taxonomy and virulence-related factors
Published in
BMC Genomics, September 2018
DOI 10.1186/s12864-018-5100-4
Pubmed ID
Authors

Furqan Awan, Yuhao Dong, Jin Liu, Nannan Wang, Muhammad Hassan Mushtaq, Chengping Lu, Yongjie Liu

Abstract

Aeromonas hydrophila is a potential zoonotic pathogen and primary fish pathogen. With overlapping characteristics, multiple isolates are often mislabelled and misclassified. Moreover, the potential pathogenic factors among the publicly available genomes in A. hydrophila strains of different origins have not yet been investigated. To identify the valid strains of A. hydrophila and their pathogenic factors, we performed a pan-genomic study. It revealed that there were 13 mislabelled strains and 49 valid strains that were further verified by Average nucleotide identity (ANI), digital DNA-DNA hybridization (dDDH) and in silico multiple locus strain typing (MLST). Multiple numbers of phages were detected among the strains and among them Aeromonas phi 018 was frequently present. The diversity in type III secretion system (T3SS) and conservation of type II and type VI secretion systems (T2SS and T6SS, respectively) among all the strains are important to study for designing future strategies. The most prevalent antibiotic resistances were found to be beta-lactamase, polymyxin and colistin resistances. The comparative analyses of sequence type (ST) 251 and other ST groups revealed that there were higher numbers of virulence factors in ST-251 than in other STs group. Publicly available genomes have 13 mislabelled organisms, and there are only 49 valid A. hydrophila strains. This valid pan-genome identifies multiple prophages that can be further utilized. Different A. hydrophila strains harbour multiple virulence factors and antibiotic resistance genes. Identification of such factors is important for designing future treatment regimes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Ph. D. Student 11 14%
Student > Master 11 14%
Student > Bachelor 11 14%
Student > Doctoral Student 5 6%
Other 11 14%
Unknown 17 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 17%
Biochemistry, Genetics and Molecular Biology 11 14%
Immunology and Microbiology 8 10%
Medicine and Dentistry 5 6%
Veterinary Science and Veterinary Medicine 4 5%
Other 14 18%
Unknown 23 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 September 2018.
All research outputs
#18,650,639
of 23,105,443 outputs
Outputs from BMC Genomics
#8,227
of 10,709 outputs
Outputs of similar age
#261,436
of 341,556 outputs
Outputs of similar age from BMC Genomics
#136
of 193 outputs
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