Transcriptome analysis of root‑knot nematode (Meloidogyne incognita)‑resistant and susceptible sweetpotato cultivars

Root-knot nematodes (RKNs, Meloidogyne spp.) are important sedentary endoparasites of many agricultural crop plants that significantly reduce production in field-grown sweetpotato. To date, no studies involving gene expression profiling in sweetpotato during RKN infection have been reported. Therefo...

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Bibliographic Details
Published in:Planta 2019-02, Vol.249 (2), p.431-444
Main Authors: Lee, Il Hwan, Shim, Donghwan, Jeong, Jea Cheol, Sung, Yeon Woo, Nam, Ki Jung, Yang, Jung-Wook, Ha, Joon, Lee, Jeung Joo, Kim, Yun-Hee
Format: Article
Language:English
Subjects:
Agriculture
Animals
Annotations
Bacterial proteins
Biological activity
Biomedical and Life Sciences
Cultivars
Disease Resistance - genetics
Ecology
Endoparasites
Forestry
Gene expression
Gene Expression Profiling
Genes
Infections
Ipomoea batatas
Ipomoea batatas - genetics
Ipomoea batatas - immunology
Ipomoea batatas - parasitology
Life Sciences
Meloidogyne incognita
Nematodes
ORIGINAL ARTICLE
Pathogenesis
Plant Diseases - immunology
Plant Diseases - parasitology
Plant Roots - parasitology
Plant Sciences
Real-Time Polymerase Chain Reaction
Roots
Sequence Analysis, DNA
Signal transduction
Signaling
Transcription factors
Transcriptome - genetics
Tylenchoidea
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Summary:Root-knot nematodes (RKNs, Meloidogyne spp.) are important sedentary endoparasites of many agricultural crop plants that significantly reduce production in field-grown sweetpotato. To date, no studies involving gene expression profiling in sweetpotato during RKN infection have been reported. Therefore, in the present study, transcriptome analysis was performed on the roots of susceptible (cv. Yulmi) and resistant (cv. Juhwangmi) sweetpotato cultivars infected with the widespread, major RKN species Meloidogyne incognita. Using the Illumina HiSeq 2000 platform, we generated 455,295,628 pair-end reads from the fibrous roots of both cultivars, which were assembled into 74,733 transcripts. A number of common and unique genes were differentially expressed in susceptible vs. resistant cultivars as a result of RKN infection. We assigned the differentially expressed genes into gene ontology categories and used MapMan annotation to predict their functional roles and associated biological processes. The candidate genes including hormonal signaling-related transcription factors and pathogenesis-related genes that could contribute to protection against RKN infection in sweetpotato roots were identified and sweetpotato–nematode interactions involved in resistance are discussed.
ISSN:0032-0935
1432-2048
DOI:10.1007/s00425-018-3001-z