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Differential Gene Expression Reflects Morphological Characteristics and Physiological Processes in Rice Immunity against Blast Pathogen Magnaporthe oryzae

Overview of attention for article published in PLOS ONE, May 2015
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Title
Differential Gene Expression Reflects Morphological Characteristics and Physiological Processes in Rice Immunity against Blast Pathogen Magnaporthe oryzae
Published in
PLOS ONE, May 2015
DOI 10.1371/journal.pone.0126188
Pubmed ID
Authors

Parisa Azizi, Mohd Y. Rafii, Maziah Mahmood, Siti N. A. Abdullah, Mohamed M. Hanafi, Naghmeh Nejat, Muhammad A. Latif, Mahbod Sahebi

Abstract

The rice blast fungus Magnaporthe oryzae is a serious pathogen that jeopardises the world's most important food-security crop. Ten common Malaysian rice varieties were examined for their morphological, physiological and genomic responses to this rice blast pathogen. qPCR quantification was used to assess the growth of the pathogen population in resistant and susceptible rice varieties. The chlorophyll content and photosynthesis were also measured to further understand the disruptive effects that M. oryzae has on infected plants of these varieties. Real-time PCR was used to explore the differential expression of eight blast resistance genes among the ten local varieties. Blast disease has destructive effects on the growth of rice, and the findings of our study provide evidence that the Pikh, Pi9, Pi21, and Osw45 genes are involved in defence responses in the leaves of Malaysian rice at 31 h after inoculation with M. oryzae pathotype P7.2. Both the chlorophyll content and photosynthesis were reduced, but the levels of Pikh gene expression remained constant in susceptible varieties, with a developed pathogen population and mild or severe symptoms. The Pi9, Pi21, and Osw45 genes, however, were simultaneously upregulated in infected rice plants. Therefore, the presence of the Pikh, Pi9, Pi21, and Osw45 genes in the germplasm is useful for improving the resistance of rice varieties.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Master 7 15%
Researcher 6 13%
Student > Bachelor 4 9%
Student > Doctoral Student 2 4%
Other 8 17%
Unknown 12 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 49%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 3 6%
Economics, Econometrics and Finance 2 4%
Unspecified 1 2%
Other 4 9%
Unknown 11 23%
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 04 June 2015.
All research outputs
#18,412,793
of 22,808,725 outputs
Outputs from PLOS ONE
#154,830
of 194,660 outputs
Outputs of similar age
#193,573
of 267,786 outputs
Outputs of similar age from PLOS ONE
#5,389
of 7,048 outputs
Altmetric has tracked 22,808,725 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 7,048 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.