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A novel workflow correlating RNA-seq data to Phythophthora infestans resistance levels in wild Solanum species and potato clones

Overview of attention for article published in Frontiers in Plant Science, September 2015
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
A novel workflow correlating RNA-seq data to Phythophthora infestans resistance levels in wild Solanum species and potato clones
Published in
Frontiers in Plant Science, September 2015
DOI 10.3389/fpls.2015.00718
Pubmed ID
Authors

Itziar Frades, Kibrom B. Abreha, Estelle Proux-Wéra, Åsa Lankinen, Erik Andreasson, Erik Alexandersson

Abstract

Comparative transcriptomics between species can provide valuable understanding of plant-pathogen interactions. Here, we focus on wild Solanum species and potato clones with varying degree of resistance against Phytophthora infestans, which causes the devastating late blight disease in potato. The transcriptomes of three wild Solanum species native to Southern Sweden, Solanum dulcamara, Solanum nigrum, and Solanum physalifolium were compared to three potato clones, Desiree (cv.), SW93-1015 and Sarpo Mira. Desiree and S. physalifolium are susceptible to P. infestans whereas the other four have different degrees of resistance. By building transcript families based on de novo assembled RNA-seq across species and clones and correlating these to resistance phenotypes, we created a novel workflow to identify families with expanded or depleted number of transcripts in relation to the P. infestans resistance level. Analysis was facilitated by inferring functional annotations based on the family structure and semantic clustering. More transcript families were expanded in the resistant clones and species and the enriched functions of these were associated to expected gene ontology (GO) terms for resistance mechanisms such as hypersensitive response, host programmed cell death and endopeptidase activity. However, a number of unexpected functions and transcripts were also identified, for example transmembrane transport and protein acylation expanded in the susceptible group and a cluster of Zinc knuckle family proteins expanded in the resistant group. Over 400 expressed putative resistance (R-)genes were identified and resistant clones Sarpo Mira and SW93-1015 had ca 25% more expressed putative R-genes than susceptible cultivar Desiree. However, no differences in numbers of susceptibility (S-)gene homologs were seen between species and clones. In addition, we identified P. infestans transcripts including effectors in the early stages of P. infestans-Solanum interactions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Researcher 14 19%
Student > Doctoral Student 7 10%
Student > Bachelor 7 10%
Professor > Associate Professor 6 8%
Other 9 13%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 56%
Biochemistry, Genetics and Molecular Biology 11 15%
Engineering 3 4%
Medicine and Dentistry 2 3%
Computer Science 1 1%
Other 0 0%
Unknown 15 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 October 2015.
All research outputs
#12,936,258
of 22,828,180 outputs
Outputs from Frontiers in Plant Science
#5,600
of 20,139 outputs
Outputs of similar age
#120,601
of 272,396 outputs
Outputs of similar age from Frontiers in Plant Science
#73
of 345 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,139 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 70% 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 272,396 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.