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Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection

Overview of attention for article published in Frontiers in Plant Science, January 2017
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Title
Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection
Published in
Frontiers in Plant Science, January 2017
DOI 10.3389/fpls.2017.00022
Pubmed ID
Authors

Longming Zhu, Weichen Ni, Shuai Liu, Binhua Cai, Han Xing, Sanhong Wang

Abstract

Alternaria blotch disease of apple (Malus × domestica Borkh.), caused by the apple pathotype of Alternaria alternata, is one of the most serious fungal diseases to affect apples. To develop an understanding of how apples respond to A. alternata apple pathotype (AAAP) infection, we examined the host transcript accumulation over the period between 0 and 72 h post AAAP inoculation. Large-scale gene expression analysis was conducted of the compatible interaction between "Starking Delicious" apple cultivar and AAAP using RNA-Seq and digital gene expression (DGE) profiling methods. Our results show that a total of 9080 differentially expressed genes (DEGs) were detected (>two-fold and FDR < 0.001) by RNA-Seq. During the early phase of infection, 12 h post inoculation (HPI), AAAP exhibited limited fungal development and little change in the transcript accumulation status (950 DEGs). During the intermediate phase of infection, the period between 18 and 36 HPI, increased fungal development, active infection, and increased transcript accumulation were detected (4111 and 3838 DEGs detected at each time point, respectively). The majority of DEGs were detected by 72 HPI, suggesting that this is an important time point in the response of apples' AAAP infection. Subsequent gene ontology (GO) and pathway enrichment analyses showed that DEGs are predominately involved in biological processes and metabolic pathways; results showed that almost gene associated with photosynthesis, oxidation-reduction were down-regulated, while transcription factors (i.e., WRKY, MYB, NAC, and Hsf) and DEGs involved in cell wall modification, defense signaling, the synthesis of defense-related metabolites, including pathogenesis-related (PRs) genes and phenylpropanoid/cyanoamino acid /flavonoid biosynthesis, were activated during this process. Our study also suggested that the cell wall defensive vulnerability and the down-regulation of most PRs and HSP70s in "Starking Delicious" following AAAP infection might interpret its susceptible to AAAP.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 9 16%
Student > Master 6 11%
Student > Bachelor 6 11%
Other 2 4%
Other 3 5%
Unknown 16 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Biochemistry, Genetics and Molecular Biology 8 15%
Nursing and Health Professions 1 2%
Energy 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 19 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 February 2017.
All research outputs
#14,920,678
of 22,953,506 outputs
Outputs from Frontiers in Plant Science
#9,346
of 20,388 outputs
Outputs of similar age
#240,881
of 417,428 outputs
Outputs of similar age from Frontiers in Plant Science
#230
of 517 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,388 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 417,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.