High-Throughput Transcriptome Analysis of the Leafy Flower Transition of Catharanthus roseus Induced by Peanut Witches’-Broom Phytoplasma Infection
Peanut witches’-broom (PnWB) phytoplasma are obligate bacteria that cause leafy flower symptoms in Catharanthus roseus. The PnWB-mediated leafy flower transitions were studied to understand the mechanisms underlying the pathogen–host interaction; however, our understanding is limited because of the...
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Veröffentlicht in: | Plant and cell physiology 2014-05, Vol.55 (5), p.942-957 |
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Sprache: | eng |
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Zusammenfassung: | Peanut witches’-broom (PnWB) phytoplasma are obligate bacteria that cause leafy flower symptoms in Catharanthus roseus. The PnWB-mediated leafy flower transitions were studied to understand the mechanisms underlying the pathogen–host interaction; however, our understanding is limited because of the lack of information on the C. roseus genome. In this study, the whole-transcriptome profiles from healthy flowers (HFs) and stage 4 (S4) PnWB-infected leafy flowers of C. roseus were investigated using next-generation sequencing (NGS). More than 60,000 contigs were generated using a de novo assembly approach, and 34.2% of the contigs (20,711 genes) were annotated as putative genes through name-calling, open reading frame determination and gene ontology analyses. Furthermore, a customized microarray based on this sequence information was designed and used to analyze samples further at various stages of PnWB infection. In the NGS profile, 87.8% of the genes showed expression levels that were consistent with those in the microarray profiles, suggesting that accurate gene expression levels can be detected using NGS. The data revealed that defense-related and flowering gene expression levels were altered in S4 PnWB-infected leafy flowers, indicating that the immunity and reproductive stages of C. roseus were compromised. The network analysis suggested that the expression levels of >1,000 candidate genes were highly associated with CrSVP1/2 and CrFT expression, which might be crucial in the leafy flower transition. In conclusion, this study provides a new perspective for understanding plant pathology and the mechanisms underlying the leafy flowering transition caused by host–pathogen interactions through analyzing bioinformatics data obtained using a powerful, rapid high-throughput technique. |
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ISSN: | 0032-0781 1471-9053 |
DOI: | 10.1093/pcp/pcu029 |