| Title |
Pan-genome analysis of Aeromonas hydrophila, Aeromonas veronii and Aeromonas caviae indicates phylogenomic diversity and greater pathogenic potential for Aeromonas hydrophila
|
|---|---|
| Published in |
Antonie van Leeuwenhoek, April 2016
|
| DOI | 10.1007/s10482-016-0693-6 |
| Pubmed ID | |
| Authors |
Sandeep Ghatak, Jochen Blom, Samir Das, Rajkumari Sanjukta, Kekungu Puro, Michael Mawlong, Ingudam Shakuntala, Arnab Sen, Alexander Goesmann, Ashok Kumar, S. V. Ngachan |
| Abstract |
Aeromonas species are important pathogens of fishes and aquatic animals capable of infecting humans and other animals via food. Due to the paucity of pan-genomic studies on aeromonads, the present study was undertaken to analyse the pan-genome of three clinically important Aeromonas species (A. hydrophila, A. veronii, A. caviae). Results of pan-genome analysis revealed an open pan-genome for all three species with pan-genome sizes of 9181, 7214 and 6884 genes for A. hydrophila, A. veronii and A. caviae, respectively. Core-genome: pan-genome ratio (RCP) indicated greater genomic diversity for A. hydrophila and interestingly RCP emerged as an effective indicator to gauge genomic diversity which could possibly be extended to other organisms too. Phylogenomic network analysis highlighted the influence of homologous recombination and lateral gene transfer in the evolution of Aeromonas spp. Prediction of virulence factors indicated no significant difference among the three species though analysis of pathogenic potential and acquired antimicrobial resistance genes revealed greater hazards from A. hydrophila. In conclusion, the present study highlighted the usefulness of whole genome analyses to infer evolutionary cues for Aeromonas species which indicated considerable phylogenomic diversity for A. hydrophila and hitherto unknown genomic evidence for pathogenic potential of A. hydrophila compared to A. veronii and A. caviae. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 72 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 26% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 11 | 15% |
| Student > Doctoral Student | 8 | 11% |
| Lecturer | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 25% |
| Veterinary Science and Veterinary Medicine | 9 | 12% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Immunology and Microbiology | 7 | 10% |
| Environmental Science | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 18 | 25% |
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 15 April 2016.
All research outputs
#18,451,892
of 22,862,742 outputs
Outputs from Antonie van Leeuwenhoek
#1,622
of 2,029 outputs
Outputs of similar age
#220,261
of 300,866 outputs
Outputs of similar age from Antonie van Leeuwenhoek
#26
of 37 outputs
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