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Host specialization of the blast fungus Magnaporthe oryzae is associated with dynamic gain and loss of genes linked to transposable elements

Overview of attention for article published in BMC Genomics, May 2016
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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14 X users
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1 Facebook page
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1 Wikipedia page

Citations

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157 Dimensions

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191 Mendeley
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Title
Host specialization of the blast fungus Magnaporthe oryzae is associated with dynamic gain and loss of genes linked to transposable elements
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2690-6
Pubmed ID
Authors

Kentaro Yoshida, Diane G. O. Saunders, Chikako Mitsuoka, Satoshi Natsume, Shunichi Kosugi, Hiromasa Saitoh, Yoshihiro Inoue, Izumi Chuma, Yukio Tosa, Liliana M. Cano, Sophien Kamoun, Ryohei Terauchi

Abstract

Magnaporthe oryzae (anamorph Pyricularia oryzae) is the causal agent of blast disease of Poaceae crops and their wild relatives. To understand the genetic mechanisms that drive host specialization of M. oryzae, we carried out whole genome resequencing of four M. oryzae isolates from rice (Oryza sativa), one from foxtail millet (Setaria italica), three from wild foxtail millet S. viridis, and one isolate each from finger millet (Eleusine coracana), wheat (Triticum aestivum) and oat (Avena sativa), in addition to an isolate of a sister species M. grisea, that infects the wild grass Digitaria sanguinalis. Whole genome sequence comparison confirmed that M. oryzae Oryza and Setaria isolates form a monophyletic and close to another monophyletic group consisting of isolates from Triticum and Avena. This supports previous phylogenetic analysis based on a small number of genes and molecular markers. When comparing the host specific subgroups, 1.2-3.5 % of genes showed presence/absence polymorphisms and 0-6.5 % showed an excess of non-synonymous substitutions. Most of these genes encoded proteins whose functional domains are present in multiple copies in each genome. Therefore, the deleterious effects of these mutations could potentially be compensated by functional redundancy. Unlike the accumulation of nonsynonymous nucleotide substitutions, gene loss appeared to be independent of divergence time. Interestingly, the loss and gain of genes in pathogens from the Oryza and Setaria infecting lineages occurred more frequently when compared to those infecting Triticum and Avena even though the genetic distance between Oryza and Setaria lineages was smaller than that between Triticum and Avena lineages. In addition, genes showing gain/loss and nucleotide polymorphisms are linked to transposable elements highlighting the relationship between genome position and gene evolution in this pathogen species. Our comparative genomics analyses of host-specific M. oryzae isolates revealed gain and loss of genes as a major evolutionary mechanism driving specialization to Oryza and Setaria. Transposable elements appear to facilitate gene evolution possibly by enhancing chromosomal rearrangements and other forms of genetic variation.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Brazil 1 <1%
Unknown 189 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 17%
Student > Ph. D. Student 31 16%
Researcher 30 16%
Student > Bachelor 20 10%
Student > Doctoral Student 13 7%
Other 25 13%
Unknown 39 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 98 51%
Biochemistry, Genetics and Molecular Biology 29 15%
Environmental Science 7 4%
Immunology and Microbiology 3 2%
Arts and Humanities 2 1%
Other 11 6%
Unknown 41 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 12 December 2020.
All research outputs
#2,644,409
of 22,870,727 outputs
Outputs from BMC Genomics
#873
of 10,664 outputs
Outputs of similar age
#47,734
of 334,246 outputs
Outputs of similar age from BMC Genomics
#23
of 196 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,664 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 334,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.