Title |
Transcriptome analysis of woodland strawberry (Fragaria vesca) response to the infection by Strawberry vein banding virus (SVBV)
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Published in |
Virology Journal, July 2016
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DOI | 10.1186/s12985-016-0584-5 |
Pubmed ID | |
Authors |
Jing Chen, Hanping Zhang, Mingfeng Feng, Dengpan Zuo, Yahui Hu, Tong Jiang |
Abstract |
Woodland strawberry (Fragaria vesca) infected with Strawberry vein banding virus (SVBV) exhibits chlorotic symptoms along the leaf veins. However, little is known about the molecular mechanism of strawberry disease caused by SVBV. We performed the next-generation sequencing (RNA-Seq) study to identify gene expression changes induced by SVBV in woodland strawberry using mock-inoculated plants as a control. Using RNA-Seq, we have identified 36,850 unigenes, of which 517 were differentially expressed in the virus-infected plants (DEGs). The unigenes were annotated and classified with Gene Ontology (GO), Clusters of Orthologous Group (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The KEGG pathway analysis of these genes suggested that strawberry disease caused by SVBV may affect multiple processes including pigment metabolism, photosynthesis and plant-pathogen interactions. Our research provides comprehensive transcriptome information regarding SVBV infection in strawberry. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 5 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 2% |
United States | 1 | 2% |
Unknown | 42 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 11 | 25% |
Researcher | 5 | 11% |
Student > Master | 4 | 9% |
Other | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 7 | 16% |
Unknown | 12 | 27% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 21 | 48% |
Biochemistry, Genetics and Molecular Biology | 7 | 16% |
Unspecified | 1 | 2% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Arts and Humanities | 1 | 2% |
Other | 1 | 2% |
Unknown | 12 | 27% |