Comparative de novo transcriptome profiling of Asparagus officinalis and A. kiusianus during the early stage of Phomopsis asparagi infection

Autor: Mai Mitoma, Naoyuki Suzumura, Akira Kanno, Satoshi Matsuo, Mostafa Abdelrahman, Kyoko Murakami, Atsuko Uragami, Mitsutaka Mori, Yukio Ozaki, Masaru Matsumoto, Takao Ikeuchi
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: SC30201810100007
NARO成果DBa
Scientific Reports
Scientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
ISSN: 2045-2322
Popis: Asparagus kiusianus, an important wild relative of cultivated asparagus (A. officinalis), exhibits resistance to stem blight disease caused by Phomopsis asparagi. However, the mechanisms underlying this resistance are not understood and no transcriptomic or genetic resources are available for this species. De novo transcriptome sequencing of A. officinalis and A. kiusianus stems was performed 24 h after inoculation with P. asparagi. In total, 35,259 and 36,321 transcripts were annotated in A. officinalis and A. kiusianus, respectively. 1,027 up-regulated and 752 down-regulated transcripts were differentially expressed in the two Asparagus species. RNA sequencing data were validated using quantitative real-time reverse transcription PCR. Several defense-related genes including peroxidase 4, cationic peroxidase SPC4-like, pathogenesis-related protein-1-like, and jasmonic acid biosynthesis and signaling-related genes including phospholipase D alpha 1, 12-oxophytodienoate reductase and jasmonate-induced protein 23 KD were up-regulated in A. kiusianus relative to A. officinalis. In addition, infected A. kiusianuns exhibited a substantial increase in jasmonic acid and methyl jasmonate relative to A. officinalis. Peroxidase activity was significantly elevated in infected A. kiusianus compared with infected A. officinalis. Our transcriptomic database provides a resource for identifying novel genes and molecular markers-associated with Phomopsis disease resistance and will facilitate breeding and improvement of cultivated asparagus varieties.
Databáze: OpenAIRE