| Title |
Plant Growth-Promoting Genes can Switch to be Virulence Factors via Horizontal Gene Transfer
|
|---|---|
| Published in |
Microbial Ecology, February 2018
|
| DOI | 10.1007/s00248-018-1163-7 |
| Pubmed ID | |
| Authors |
Margarita Stritzler, Gabriela Soto, Nicolás Ayub |
| Abstract |
There are increasing evidences that horizontal gene transfer (HGT) is a critical mechanism of bacterial evolution, while its complete impact remains unclear. A main constraint of HGT effects on microbial evolution seems to be the conservation of the function of the horizontally transferred genes. From this perspective, inflexible nomenclature and functionality criteria have been established for some mobile genetic elements such as pathogenic and symbiotic islands. Adhesion is a universal prerequisite for both beneficial and pathogenic plant-microbe interactions, and thus, adhesion systems (e.g., the Lap cluster) are candidates to have a dual function depending on the genomic background. In this study, we showed that the virulent factor Lap of the phytopathogen Erwinia carotovora SCRI1043, which is located within a genomic island, was acquired by HGT and probably derived from Pseudomonas. The transformation of the phytopathogen Erwinia pyrifoliae Ep1/96 with the beneficial factor Lap from the plant growth-promoting bacterium Pseudomonas fluorescens Pf-5 significantly increased its natural virulence, experimentally recapitulating the beneficial-to-virulence functional switch of the Lap cluster via HGT. To our knowledge, this is the first report of a functional switch of an individual gene or a cluster of genes mediated by HGT. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 26% |
| Researcher | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 5 | 16% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 32% |
| Biochemistry, Genetics and Molecular Biology | 9 | 29% |
| Immunology and Microbiology | 4 | 13% |
| Environmental Science | 3 | 10% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 3 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 August 2019.
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#13,582,166
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Outputs from Microbial Ecology
#1,227
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Outputs of similar age
#171,564
of 330,329 outputs
Outputs of similar age from Microbial Ecology
#29
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