Dataset Information

Transcriptome profiling of Cucumis metuliferus infected by Meloidogyne incognita provides new insights into putative defense regulatory network in Cucurbitaceae.

ABSTRACT: Root-knot nematodes (RKN) represent extensive challenges to Cucurbitaceae crops. However, Cucumis metuliferus (Cm) is known to be resistant to Meloidogyne incognita (Mi) infections. Thus, analysis of differentially expressed genes may lead to a comprehensive gene expression profiling of the incompatible Cm-Mi interaction. In this study, the time-course transcriptome of Cm against Mi infection was monitored using RNA-Seq. More than 170000 transcripts were examined in Cm roots, and 2430 genes were subsequently identified as differentially expressed in response to Mi infection. Based on function annotation and orthologs finding, the potential mechanism of transcriptional factor, cytoskeleton, pathogen-related genes and plant hormone were assessed at the transcription level. A comparison of gene expression levels between Mi-infected Cm and cucumber plants revealed that cytoskeleton-related genes are key regulators of Cm resistance to Mi. We herein discuss the dual nature of cytoskeleton-related genes in the susceptibility and resistance of plant hosts to Mi. Our observations provide novel insights into the responses of Cm to Mi at the transcriptome level. The data generated in this study may be useful for elucidating the mechanism underlying resistance to RKNs in cucurbitaceous crops.

SUBMITTER: Ling J

PROVIDER: S-EPMC5471208 | biostudies-other | 2017 Jun

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Transcriptome profiling of Cucumis metuliferus infected by Meloidogyne incognita provides new insights into putative defense regulatory network in Cucurbitaceae.

Ling Jian J Mao Zhenchuan Z Zhai Mingjuan M Zeng Feng F Yang Yuhong Y Xie Bingyan B

Scientific reports 20170614 1

Root-knot nematodes (RKN) represent extensive challenges to Cucurbitaceae crops. However, Cucumis metuliferus (Cm) is known to be resistant to Meloidogyne incognita (Mi) infections. Thus, analysis of differentially expressed genes may lead to a comprehensive gene expression profiling of the incompatible Cm-Mi interaction. In this study, the time-course transcriptome of Cm against Mi infection was monitored using RNA-Seq. More than 170000 transcripts were examined in Cm roots, and 2430 genes were ...[more]

PMID: 28615634

Similar Datasets

Project description:Nematodes are one of the major limiting factors in alfalfa production. Root-knot nematodes (RKN, Meloidogyne spp.) are widely distributed and economically important sedentary endoparasites of agricultural crops and they may inflict significant damage to alfalfa fields. As of today, no studies have been published on global gene expression profiling in alfalfa infected with RKN or any other plant parasitic nematode. Very little information is available about molecular mechanisms that contribute to pathogenesis and defense responses in alfalfa against these pests and specifically against RKN. In this work, we performed root transcriptome analysis of resistant (cv. Moapa 69) and susceptible (cv. Lahontan) alfalfa cultivars infected with RKN Meloidogyne incognita, widespread root-knot nematode species and a major pest worldwide. A total of 1,701,622,580 pair-end reads were generated on an Illumina Hi-Seq 2000 platform from the roots of both cultivars and assembled into 45,595 and 47,590 transcripts in cvs Moapa 69 and Lahontan, respectively. Bioinformatic analysis revealed a number of common and unique genes that were differentially expressed in susceptible and resistant lines as a result of nematode infection. Although the susceptible cultivar showed a more pronounced defense response to the infection, feeding sites were successfully established in its roots. Characteristically, basal gene expression levels under normal conditions differed between the two cultivars as well, which may confer advantage to one of the genotypes toward resistance to nematodes. Differentially expressed genes were subsequently assigned to known Gene Ontology categories to predict their functional roles and associated biological processes. Real-time PCR validated expression changes in genes arbitrarily selected for experimental confirmation. Candidate genes that contribute to protection against M. incognita in alfalfa were proposed and alfalfa-nematode interactions with respect to resistance are discussed.

Dataset Information

Transcriptome profiling of Cucumis metuliferus infected by Meloidogyne incognita provides new insights into putative defense regulatory network in Cucurbitaceae.

Publications

Transcriptome profiling of Cucumis metuliferus infected by Meloidogyne incognita provides new insights into putative defense regulatory network in Cucurbitaceae.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets