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Genome-Wide Analysis of Corynespora cassiicola Leaf Fall Disease Putative Effectors

Overview of attention for article published in Frontiers in Microbiology, March 2018
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Title
Genome-Wide Analysis of Corynespora cassiicola Leaf Fall Disease Putative Effectors
Published in
Frontiers in Microbiology, March 2018
DOI 10.3389/fmicb.2018.00276
Pubmed ID
Authors

David Lopez, Sébastien Ribeiro, Philippe Label, Boris Fumanal, Jean-Stéphane Venisse, Annegret Kohler, Ricardo R. de Oliveira, Kurt Labutti, Anna Lipzen, Kathleen Lail, Diane Bauer, Robin A. Ohm, Kerrie W. Barry, Joseph Spatafora, Igor V. Grigoriev, Francis M. Martin, Valérie Pujade-Renaud

Abstract

Corynespora cassiicola is an Ascomycetes fungus with a broad host range and diverse life styles. Mostly known as a necrotrophic plant pathogen, it has also been associated with rare cases of human infection. In the rubber tree, this fungus causes theCorynesporaleaf fall (CLF) disease, which increasingly affects natural rubber production in Asia and Africa. It has also been found as an endophyte in South American rubber plantations where no CLF outbreak has yet occurred. TheC. cassiicolaspecies is genetically highly diverse, but no clear relationship has been evidenced between phylogenetic lineage and pathogenicity. Cassiicolin, a small glycosylated secreted protein effector, is thought to be involved in the necrotrophic interaction with the rubber tree but some virulentC. cassiicolaisolates do not have a cassiicolin gene. This study set out to identify other putative effectors involved in CLF. The genome of a highly virulentC. cassiicolaisolate from the rubber tree (CCP) was sequenced and assembled.In silicoprediction revealed 2870 putative effectors, comprising CAZymes, lipases, peptidases, secreted proteins and enzymes associated with secondary metabolism. Comparison with the genomes of 44 other fungal species, focusing on effector content, revealed a striking proximity with phylogenetically unrelated species (Colletotrichum acutatum, Colletotrichum gloesporioides, Fusarium oxysporum, nectria hematococca, andBotrosphaeria dothidea) sharing life style plasticity and broad host range. Candidate effectors involved in the compatible interaction with the rubber tree were identified by transcriptomic analysis. Differentially expressed genes included 92 putative effectors, among which cassiicolin and two other secreted singleton proteins. Finally, the genomes of 35C. cassiicolaisolates representing the genetic diversity of the species were sequenced and assembled, and putative effectors identified. At the intraspecific level, effector-based classification was found to be highly consistent with the phylogenomic trees. Identification of lineage-specific effectors is a key step toward understandingC. cassiicolavirulence and host specialization mechanisms.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 19%
Student > Ph. D. Student 16 18%
Student > Bachelor 12 13%
Student > Master 6 7%
Student > Doctoral Student 3 3%
Other 10 11%
Unknown 27 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 41%
Biochemistry, Genetics and Molecular Biology 10 11%
Environmental Science 3 3%
Chemical Engineering 2 2%
Computer Science 2 2%
Other 9 10%
Unknown 28 31%
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 03 April 2018.
All research outputs
#15,495,840
of 23,028,364 outputs
Outputs from Frontiers in Microbiology
#15,373
of 25,154 outputs
Outputs of similar age
#211,870
of 331,406 outputs
Outputs of similar age from Frontiers in Microbiology
#396
of 588 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 331,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 588 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.