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Identification of microRNAs and their targets in tomato infected with Cucumber mosaic virus based on deep sequencing

Overview of attention for article published in Planta, September 2014
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Title
Identification of microRNAs and their targets in tomato infected with Cucumber mosaic virus based on deep sequencing
Published in
Planta, September 2014
DOI 10.1007/s00425-014-2158-3
Pubmed ID
Authors

Junli Feng, Shasha Liu, Mengna Wang, Qiulei Lang, Chunzhi Jin

Abstract

MicroRNAs (miRNAs) play important regulatory roles in plant development and stress responses. Tomato is an economically important vegetable crop in the world with publicly available genomic information database, but only a limited number of tomato miRNAs have been identified. In this study, two independent small RNA libraries from mock and Cucumber mosaic virus (CMV)-infected tomatoes were constructed, respectively, and sequenced with a high-throughput Illumina Solexa system. Based on sequence analysis and hairpin structure prediction, a total of 50 plant miRNAs and 273 potentially candidate miRNAs (PC-miRNAs) were firstly identified in tomato, with 12 plant miRNAs and 82 PC-miRNAs supported by both the 3p and 5p strands. Comparative analysis revealed that 79 miRNAs (including 15 new tomato miRNAs) and 40 PC-miRNAs were differentially expressed between the two libraries, and the expression patterns of some new tomato miRNAs and PC-miRNAs were further validated by qRT-PCR. Moreover, potential targets for some of the known and new tomato miRNAs were identified by the recently developed degradome sequencing approach, and target annotation indicated that they were involved in multiple biological processes, including transcriptional regulation and virus resistance. Gene ontology analysis of these target transcripts demonstrated that defense response- and photosynthesis-related genes were most affected in CMV-Fny-infected tomatoes. Because tomato is not only an important crop but also is a genetic model for basic biology research, our study contributes to the understanding of miRNAs in response to virus infection.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
Slovenia 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 14 23%
Student > Master 10 16%
Student > Bachelor 6 10%
Student > Postgraduate 3 5%
Other 5 8%
Unknown 10 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 52%
Biochemistry, Genetics and Molecular Biology 12 19%
Arts and Humanities 1 2%
Business, Management and Accounting 1 2%
Computer Science 1 2%
Other 2 3%
Unknown 13 21%
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 September 2014.
All research outputs
#20,236,620
of 22,763,032 outputs
Outputs from Planta
#2,374
of 2,718 outputs
Outputs of similar age
#200,248
of 238,994 outputs
Outputs of similar age from Planta
#23
of 35 outputs
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