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Transcriptome profiling of soybean (Glycine max) roots challenged with pathogenic and non-pathogenic isolates of Fusarium oxysporum

Overview of attention for article published in BMC Genomics, December 2015
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Title
Transcriptome profiling of soybean (Glycine max) roots challenged with pathogenic and non-pathogenic isolates of Fusarium oxysporum
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2318-2
Pubmed ID
Authors

Alessandra Lanubile, Usha K. Muppirala, Andrew J. Severin, Adriano Marocco, Gary P. Munkvold

Abstract

Fusarium oxysporum is one of the most common fungal pathogens causing soybean root rot and seedling blight in U.S.A. In a recent study, significant variation in aggressiveness was observed among isolates of F. oxysporum collected from roots in Iowa, ranging from highly pathogenic to weakly or non-pathogenic isolates. We used RNA-seq analysis to investigate the molecular aspects of the interactions of a partially resistant soybean genotype with non-pathogenic/pathogenic isolates of F. oxysporum at 72 and 96 h post inoculation (hpi). Markedly different gene expression profiles were observed in response to the two isolates. A peak of highly differentially expressed genes (HDEGs) was triggered at 72 hpi in soybean roots and the number of HDEGs was about eight times higher in response to the pathogenic isolate compared to the non-pathogenic one (1,659 vs. 203 HDEGs, respectively). Furthermore, the magnitude of induction was much greater in response to the pathogenic isolate. This response included a stronger activation of defense-related genes, transcription factors, and genes involved in ethylene biosynthesis, secondary and sugar metabolism. The obtained data provide an important insight into the transcriptional responses of soybean-F. oxysporum interactions and illustrate the more drastic changes in the host transcriptome in response to the pathogenic isolate. These results may be useful in the developing new methods of broadening resistance of soybean to F. oxysporum, including the over-expression of key soybean genes.

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Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 25%
Student > Master 16 16%
Student > Bachelor 10 10%
Student > Doctoral Student 9 9%
Researcher 8 8%
Other 13 13%
Unknown 18 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 45%
Biochemistry, Genetics and Molecular Biology 28 28%
Computer Science 3 3%
Psychology 1 1%
Medicine and Dentistry 1 1%
Other 1 1%
Unknown 20 20%
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 September 2016.
All research outputs
#18,433,196
of 22,836,570 outputs
Outputs from BMC Genomics
#8,183
of 10,655 outputs
Outputs of similar age
#281,170
of 389,451 outputs
Outputs of similar age from BMC Genomics
#289
of 324 outputs
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