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Dicer-Like Genes Are Required for H2O2 and KCl Stress Responses, Pathogenicity and Small RNA Generation in Valsa mali

Overview of attention for article published in Frontiers in Microbiology, June 2017
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Title
Dicer-Like Genes Are Required for H2O2 and KCl Stress Responses, Pathogenicity and Small RNA Generation in Valsa mali
Published in
Frontiers in Microbiology, June 2017
DOI 10.3389/fmicb.2017.01166
Pubmed ID
Authors

Hao Feng, Ming Xu, Yangyang Liu, Ruqing Dong, Xiaoning Gao, Lili Huang

Abstract

Valsa mali (V. mali) is the causative agent of apple tree Valsa canker, which heavily damages the production of apples in China. However, the biological roles of the RNA interfering (RNAi) pathway in the pathogenicity of V. mali remain unknown. Dicer-like proteins (DCLs) are important components that control the initiation of the RNAi pathway. In this study, VmDCL1 and VmDCL2 were isolated and functionally characterized in V. mali. VmDCL1 and VmDCL2 are orthologous in evolution to the DCLs in Cryphonectria parasitica. The deletion of VmDCL1 and VmDCL2 did not affect vegetative growth when the mutants (ΔVmDCL1, ΔVmDCL2 and ΔVmDCL1DCL2) and wild type strain 03-8 were grown on a PDA medium at 25°C in the dark. However, the colony of ΔVmDCL1 increased by 37.1% compared to the 03-8 colony in a medium containing 0.05% H2O2 3 days after inoculation, and the growth of ΔVmDCL1 was significantly inhibited in a medium containing 0.5 M KCl at a ratio of 25.7%. Meanwhile, in the presence of 0.05% H2O2, the growth of ΔVmDCL2 decreased by 34.5% compared with the growth of 03-8, but ΔVmDCL2 grew normally in the presence of 0.5 M KCl. More importantly, the expression of VmDCL2 was up-regulated 125-fold during the pathogen infection. In the infection assays using apple twigs, the pathogenicity of ΔVmDCL2 and ΔVmDCL1DCL2 was significantly reduced compared with that of 03-8 at a ratio of 24.7 and 41.3%, respectively. All defective phenotypes could be nearly rescued by re-introducing the wild type VmDCL1 and VmDCL2 alleles. Furthermore, the number and length distribution of unique small RNAs (unisRNAs) in the mutants and 03-8 were analyzed using deep sequencing. The number of unisRNAs was obviously lower in ΔVmDCL1, ΔVmDCL2 and ΔVmDCL1DCL2 than that in 03-8, and the length distribution of the sRNAs also markedly changed after the VmDCLs were deleted. These results indicated that VmDCLs function in the H2O2 and KCl stress response, pathogenicity and generation of sRNAs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Nursing and Health Professions 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Immunology and Microbiology 1 7%
Engineering 1 7%
Other 0 0%
Unknown 6 43%
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 11 July 2017.
All research outputs
#18,560,904
of 22,988,380 outputs
Outputs from Frontiers in Microbiology
#19,482
of 25,053 outputs
Outputs of similar age
#241,688
of 316,287 outputs
Outputs of similar age from Frontiers in Microbiology
#416
of 530 outputs
Altmetric has tracked 22,988,380 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 25,053 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 9th percentile – i.e., 9% 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 316,287 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 530 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.