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Transcription Profiling Analysis of Mango–Fusarium mangiferae Interaction

Overview of attention for article published in Frontiers in Microbiology, September 2016
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Title
Transcription Profiling Analysis of Mango–Fusarium mangiferae Interaction
Published in
Frontiers in Microbiology, September 2016
DOI 10.3389/fmicb.2016.01443
Pubmed ID
Authors

Feng Liu, Jing-bo Wu, Ru-lin Zhan, Xiong-chang Ou

Abstract

Malformation caused by Fusarium mangiferae is one of the most destructive mango diseases affecting the canopy and floral development, leading to dramatic reduction in fruit yield. To further understand the mechanism of interaction between mango and F. mangiferae, we monitored the transcriptome profiles of buds from susceptible mango plants, which were challenged with F. mangiferae. More than 99 million reads were deduced by RNA-sequencing and were assembled into 121,267 unigenes. Based on the sequence similarity searches, 61,706 unigenes were identified, of which 21,273 and 50,410 were assigned to gene ontology categories and clusters of orthologous groups, respectively, and 33,243 were mapped to 119 KEGG pathways. The differentially expressed genes of mango were detected, having 15,830, 26,061, and 20,146 DEGs respectively, after infection for 45, 75, and 120 days. The analysis of the comparative transcriptome suggests that basic defense mechanisms play important roles in disease resistance. The data also show the transcriptional responses of interactions between mango and the pathogen and more drastic changes in the host transcriptome in response to the pathogen. These results could be used to develop new methods to broaden the resistance of mango to malformation, including the over-expression of key mango genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Rwanda 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Bachelor 4 14%
Researcher 4 14%
Student > Ph. D. Student 2 7%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 8 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Agricultural and Biological Sciences 7 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Medicine and Dentistry 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 10 36%
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 30 September 2016.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from Frontiers in Microbiology
#22,535
of 24,936 outputs
Outputs of similar age
#279,451
of 321,976 outputs
Outputs of similar age from Frontiers in Microbiology
#356
of 451 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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