Comparative serial analysis of gene expression of transcript profiles of tomato roots infected with cyst nematode

Identification of genes governing resistance to PCN (Globodera rostochiensis) through transcriptome analysis in Solanum tuberosum

Potato cyst nematodes (PCNs) are major pests worldwide that affect potato production. The molecular changes happening in the roots upon PCN infection are still unknown. Identification of transcripts and genes governing PCN resistance will help in the development of resistant varieties. Hence, differential gene expression of compatible (Kufri Jyoti) and incompatible (JEX/A-267) potato genotypes was studied before (0 DAI) and after (10 DAI) inoculation of Globodera rostochiensis J2s through RNA sequencing (RNA-Seq). Total sequencing reads generated ranged between 33 and 37 million per sample, with a read mapping of 48-84% to the potato reference genome. In the infected roots of the resistant genotype JEX/A-267, 516 genes were downregulated, and 566 were upregulated. In comparison, in the susceptible genotype Kufri Jyoti, 316 and 554 genes were downregulated and upregulated, respectively. Genes encoding cell wall proteins, zinc finger protein, WRKY transcription factors, MYB transcription factors, disease resistance proteins, and pathogenesis-related proteins were found to be majorly involved in the incompatible reaction after PCN infection in the resistant genotype, JEX/A-267. Furthermore, RNA-Seq results were validated through quantitative real-time PCR (qRT-PCR), and it was observed that ATP, FLAVO, CYTO, and GP genes were upregulated at 5 DAI, which was subsequently downregulated at 10 DAI. The genes encoding ATP, FLAVO, LBR, and GP were present in > 1.5 fold before infection in JEX-A/267 and upregulated 7.9- to 27.6-fold after 5 DAI; subsequently, most of these genes were downregulated to 0.9- to 2.8-fold, except LBR, which was again upregulated to 44.4-fold at 10 DAI.

Transcription profile of soybean-root-knot nematode interaction reveals a key role of phythormones in the resistance reaction

BACKGROUND

Root-knot nematodes (RKN- Meloidogyne genus) present extensive challenges to soybean crop. The soybean line (PI 595099) is known to be resistant against specific strains and races of nematode species, thus its differential gene expression analysis can lead to a comprehensive gene expression profiling in the incompatible soybean-RKN interaction. Even though many disease resistance genes have been studied, little has been reported about phytohormone crosstalk on modulation of ROS signaling during soybean-RKN interaction.

RESULTS

Using 454 technology to explore the common aspects of resistance reaction during both parasitism and resistance phases it was verified that hormone, carbohydrate metabolism and stress related genes were consistently expressed at high levels in infected roots as compared to mock control. Most noteworthy genes include those encoding glycosyltransferases, peroxidases, auxin-responsive proteins and gibberellin-regulated genes. Our data analysis suggests the key role of glycosyltransferases, auxins and components of gibberellin signal transduction, biosynthesis and deactivation pathways in the resistance reaction and their participation in jasmonate signaling and redox homeostasis in mediating aspects of plant growth and responses to biotic stress.

CONCLUSIONS

Based on this study we suggest a reasonable model regarding to the complex mechanisms of crosstalk between plant hormones, mainly gibberellins and auxins, which can be crucial to modulate the levels of ROS in the resistance reaction to nematode invasion. The model also includes recent findings concerning to the participation of DELLA-like proteins and ROS signaling controlling plant immune or stress responses. Furthermore, this study provides a dataset of potential candidate genes involved in both nematode parasitism and resistance, which can be tested further for their role in this biological process using functional genomics approaches.

Genetic and genomic approaches for R-gene mediated disease resistance in tomato: retrospects and prospects

Tomato (Solanum lycopersicum) is one of the world's most important vegetable crops. Managing the health of this crop can be particularly challenging; crop resistance may be overcome by new pathogen races while new pathogens have been introduced by global agricultural markets. Tomato is extensively used as a model plant for resistance studies and much has been attained through both genetic and biotechnological approaches. In this paper, we illustrate genomic methods currently employed to preserve resistant germplasm and to facilitate the study and transfer of resistance genes, and we describe the genomic organization of R-genes. Patterns of gene activation during disease resistance response, identified through functional approaches, are depicted. We also describe the opportunities offered by the use of new genomic technologies, including high-throughput DNA sequencing, large-scale expression data production and the comparative hybridization technique, whilst reporting multifaceted approaches to achieve genetic tomato disease control. Future strategies combining the huge amount of genomic and genetic data will be able to accelerate development of novel resistance varieties sustainably on a worldwide basis. Such strategies are discussed in the context of the latest insights obtained in this field.

Dynamics in the tomato root transcriptome on infection with the potato cyst nematode Globodera rostochiensis

Plant parasitic nematodes infect roots and trigger the formation of specialized feeding sites by substantial reprogramming of the developmental process of root cells. In this article, we describe the dynamic changes in the tomato root transcriptome during early interactions with the potato cyst nematode Globodera rostochiensis. Using amplified fragment length polymorphism-based mRNA fingerprinting (cDNA-AFLP), we monitored 17 600 transcript-derived fragments (TDFs) in infected and uninfected tomato roots, 1-14 days after inoculation with nematode larvae. Six hundred and twenty-four TDFs (3.5%) showed significant differential expression on nematode infection. We employed GenEST, a computer program which links gene expression profiles generated by cDNA-AFLP and databases of cDNA sequences, to identify 135 tomato sequences. These sequences were grouped into eight functional categories based on the presence of genes involved in hormone regulation, plant pathogen defence response, cell cycle and cytoskeleton regulation, cell wall modification, cellular signalling, transcriptional regulation, primary metabolism and allocation. The presence of unclassified genes was also taken into consideration. This article describes the responsiveness of numerous tomato genes hitherto uncharacterized during infection with endoparasitic cyst nematodes. The analysis of transcriptome profiles allowed the sequential order of expression to be dissected for many groups of genes and the genes to be connected with the biological processes involved in compatible interactions between the plant and nematode.

GeneChip profiling of transcriptional responses to soybean cyst nematode, Heterodera glycines, colonization of soybean roots

Soybean cyst nematode (SCN) is currently the most devastating pathogen of soybean. SCN penetrates the root and migrates toward the central vascular bundle where it establishes a complex multinucleated feeding structure that provides plant-derived nutrients to support the development and growth of the nematode. To identify host genes that play significant roles in SCN development in susceptible roots, RNA from SCN-inoculated and non-inoculated root pieces were hybridized to the Affymetrix soybean genome GeneChips. RNA was collected at 8, 12, and 16 d post-inoculation from root pieces that displayed multiple swollen female SCN and similar root pieces from non-inoculated roots. Branch roots and root tips were trimmed from the root pieces to minimize the amount of RNA contributed by these organs. Of the 35 593 transcripts represented on the GeneChip, approximately 26,500 were expressed in the SCN-colonized root pieces. ANOVA followed by False Discovery Rate analysis indicated that the expression levels of 4616 transcripts changed significantly (Q-value < or =0.05) in response to SCN. In this set of 4616 transcripts, 1404 transcripts increased >2-fold and 739 decreased >2-fold. Of the transcripts to which a function could be assigned, a large proportion was associated with cell wall structure. Other functional categories that included a large number of up-regulated transcripts were defence, metabolism, and histones, and a smaller group of transcripts associated with signal transduction and transcription.