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De Novo Transcriptome Sequencing and Analysis for Venturia inaequalis, the Devastating Apple Scab Pathogen

Overview of attention for article published in PLOS ONE, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 blog
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4 X users
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1 patent

Citations

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33 Dimensions

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129 Mendeley
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Title
De Novo Transcriptome Sequencing and Analysis for Venturia inaequalis, the Devastating Apple Scab Pathogen
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0053937
Pubmed ID
Authors

Karnika Thakur, Vandna Chawla, Shammi Bhatti, Mohit Kumar Swarnkar, Jagdeep Kaur, Ravi Shankar, Gopaljee Jha

Abstract

Venturia inaequalis is the causal agent of apple scab, one of the most devastating diseases of apple. Due to several distinct features, it has emerged as a model fungal pathogen to study various aspects of hemibiotrophic plant pathogen interactions. The present study reports de novo assembling, annotation and characterization of the transcriptome of V. inaequalis. Venturia transcripts expressed during its growth on laboratory medium and that expressed during its biotrophic stage of infection on apple were sequenced using Illumina RNAseq technology. A total of 94,350,055 reads (50 bp read length) specific to Venturia were obtained after filtering. The reads were assembled into 62,061 contigs representing 24,571 unique genes. GO analysis suggested prevalence of genes associated with biological process categories like metabolism, transport and response to stimulus. Genes associated with molecular function like binding, catalytic activities and transferase activities were found in majority. EC and KEGG pathway analyses suggested prevalence of genes encoding kinases, proteases, glycoside hydrolases, cutinases, cytochrome P450 and transcription factors. The study has identified several putative pathogenicity determinants and candidate effectors in V. inaequalis. A large number of transcripts encoding membrane transporters were identified and comparative analysis revealed that the number of transporters encoded by Venturia is significantly more as compared to that encoded by several other important plant fungal pathogens. Phylogenomics analysis indicated that V. inaequalis is closely related to Pyrenophora tritici-repentis (the causal organism of tan spot of wheat). In conclusion, the findings from this study provide a better understanding of the biology of the apple scab pathogen and have identified candidate genes/functions required for its pathogenesis. This work lays the foundation for facilitating further research towards understanding this host-pathogen interaction.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
India 2 2%
United Kingdom 2 2%
Australia 1 <1%
Denmark 1 <1%
Spain 1 <1%
Japan 1 <1%
Unknown 119 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 35%
Researcher 30 23%
Student > Bachelor 11 9%
Student > Master 9 7%
Professor > Associate Professor 6 5%
Other 21 16%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 69%
Biochemistry, Genetics and Molecular Biology 15 12%
Engineering 3 2%
Environmental Science 2 2%
Nursing and Health Professions 2 2%
Other 9 7%
Unknown 9 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 June 2015.
All research outputs
#2,384,458
of 22,719,618 outputs
Outputs from PLOS ONE
#30,447
of 193,931 outputs
Outputs of similar age
#26,061
of 284,702 outputs
Outputs of similar age from PLOS ONE
#681
of 4,841 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 84% of its peers.
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 284,702 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 4,841 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.