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Genome analysis of the foxtail millet pathogen Sclerospora graminicola reveals the complex effector repertoire of graminicolous downy mildews

Overview of attention for article published in BMC Genomics, November 2017
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Title
Genome analysis of the foxtail millet pathogen Sclerospora graminicola reveals the complex effector repertoire of graminicolous downy mildews
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4296-z
Pubmed ID
Authors

Michie Kobayashi, Yukie Hiraka, Akira Abe, Hiroki Yaegashi, Satoshi Natsume, Hideko Kikuchi, Hiroki Takagi, Hiromasa Saitoh, Joe Win, Sophien Kamoun, Ryohei Terauchi

Abstract

Downy mildew, caused by the oomycete pathogen Sclerospora graminicola, is an economically important disease of Gramineae crops including foxtail millet (Setaria italica). Plants infected with S. graminicola are generally stunted and often undergo a transformation of flower organs into leaves (phyllody or witches' broom), resulting in serious yield loss. To establish the molecular basis of downy mildew disease in foxtail millet, we carried out whole-genome sequencing and an RNA-seq analysis of S. graminicola. Sequence reads were generated from S. graminicola using an Illumina sequencing platform and assembled de novo into a draft genome sequence comprising approximately 360 Mbp. Of this sequence, 73% comprised repetitive elements, and a total of 16,736 genes were predicted from the RNA-seq data. The predicted genes included those encoding effector-like proteins with high sequence similarity to those previously identified in other oomycete pathogens. Genes encoding jacalin-like lectin-domain-containing secreted proteins were enriched in S. graminicola compared to other oomycetes. Of a total of 1220 genes encoding putative secreted proteins, 91 significantly changed their expression levels during the infection of plant tissues compared to the sporangia and zoospore stages of the S. graminicola lifecycle. We established the draft genome sequence of a downy mildew pathogen that infects Gramineae plants. Based on this sequence and our transcriptome analysis, we generated a catalog of in planta-induced candidate effector genes, providing a solid foundation from which to identify the effectors causing phyllody.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Researcher 6 26%
Other 3 13%
Student > Bachelor 2 9%
Student > Master 1 4%
Other 3 13%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 57%
Biochemistry, Genetics and Molecular Biology 5 22%
Psychology 1 4%
Chemistry 1 4%
Engineering 1 4%
Other 0 0%
Unknown 2 9%
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 24 November 2017.
All research outputs
#20,452,930
of 23,008,860 outputs
Outputs from BMC Genomics
#9,325
of 10,698 outputs
Outputs of similar age
#372,705
of 437,841 outputs
Outputs of similar age from BMC Genomics
#196
of 223 outputs
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