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X Demographics
Mendeley readers
| Title |
Genomics analysis of Aphanomyces spp. identifies a new class of oomycete effector associated with host adaptation
|
|---|---|
| Published in |
BMC Biology, April 2018
|
| DOI | 10.1186/s12915-018-0508-5 |
| Pubmed ID | |
| Authors |
Elodie Gaulin, Michiel J. C. Pel, Laurent Camborde, Hélène San-Clemente, Sarah Courbier, Marie-Alexane Dupouy, Juliette Lengellé, Marine Veyssiere, Aurélie Le Ru, Frédéric Grandjean, Richard Cordaux, Bouziane Moumen, Clément Gilbert, Liliana M. Cano, Jean-Marc Aury, Julie Guy, Patrick Wincker, Olivier Bouchez, Christophe Klopp, Bernard Dumas |
| Abstract |
Oomycetes are a group of filamentous eukaryotic microorganisms that have colonized all terrestrial and oceanic ecosystems, and they include prominent plant pathogens. The Aphanomyces genus is unique in its ability to infect both plant and animal species, and as such exemplifies oomycete versatility in adapting to different hosts and environments. Dissecting the underpinnings of oomycete diversity provides insights into their specificity and pathogenic mechanisms. By carrying out genomic analyses of the plant pathogen A. euteiches and the crustacean pathogen A. astaci, we show that host specialization is correlated with specialized secretomes that are adapted to the deconstruction of the plant cell wall in A. euteiches and protein degradation in A. astaci. The A. euteiches genome is characterized by a large repertoire of small secreted protein (SSP)-encoding genes that are highly induced during plant infection, and are not detected in other oomycetes. Functional analysis revealed an SSP from A. euteiches containing a predicted nuclear-localization signal which shuttles to the plant nucleus and increases plant susceptibility to infection. Collectively, our results show that Aphanomyces host adaptation is associated with evolution of specialized secretomes and identify SSPs as a new class of putative oomycete effectors. |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 10 | 28% |
| Germany | 4 | 11% |
| United Kingdom | 4 | 11% |
| Netherlands | 2 | 6% |
| United States | 1 | 3% |
| Canada | 1 | 3% |
| Australia | 1 | 3% |
| Ireland | 1 | 3% |
| Unknown | 12 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 50% |
| Members of the public | 14 | 39% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Researcher | 12 | 17% |
| Student > Master | 10 | 14% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 3 | 4% |
| Other | 4 | 6% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 39% |
| Biochemistry, Genetics and Molecular Biology | 12 | 17% |
| Environmental Science | 5 | 7% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 21 | 30% |