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Basal differences in the transcriptional profiles of tomato leaves associated with the presence/absence of the resistance gene Mi-1 and changes in these differences after infestation by the whitefly Bemisia tabaci

Published online by Cambridge University Press:  09 December 2019

Clara I. Rodríguez-Alvarez
Affiliation:
Department of Plant Protection Institute for Agricultural Sciences (ICA), Spanish National Research Council (CSIC), Serrano 115 Dpdo., Madrid 28006, Spain
Irene López-Vidriero
Affiliation:
Genomics Unit, Centro Nacional de Biotecnología (CNB), Spanish National Research Council (CSIC), Darwin 3, Madrid 28049, Spain
José M. Franco-Zorrilla
Affiliation:
Genomics Unit, Centro Nacional de Biotecnología (CNB), Spanish National Research Council (CSIC), Darwin 3, Madrid 28049, Spain
Gloria Nombela*
Affiliation:
Department of Plant Protection Institute for Agricultural Sciences (ICA), Spanish National Research Council (CSIC), Serrano 115 Dpdo., Madrid 28006, Spain
*
Author for correspondence: Gloria Nombela, Email: gnombela@ica.csic.es
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Abstract

The tomato Mi-1 gene mediates plant resistance to whitefly Bemisia tabaci, nematodes, and aphids. Other genes are also required for this resistance, and a model of interaction between the proteins encoded by these genes was proposed. Microarray analyses were used previously to identify genes involved in plant resistance to pests or pathogens, but scarcely in resistance to insects. In the present work, the GeneChip™ Tomato Genome Array (Affymetrix®) was used to compare the transcriptional profiles of Motelle (bearing Mi-1) and Moneymaker (lacking Mi-1) cultivars, both before and after B. tabaci infestation. Ten transcripts were expressed at least twofold in uninfested Motelle than in Moneymaker, while other eight were expressed half or less. After whitefly infestation, differences between cultivars increased to 14 transcripts expressed more in Motelle than in Moneymaker and 14 transcripts less expressed. Half of these transcripts showed no differential expression before infestation. These results show the baseline differences in the tomato transcriptomic profile associated with the presence or absence of the Mi-1 gene and provide us with valuable information on candidate genes to intervene in either compatible or incompatible tomato–whitefly interactions.

Information

Type
Research Paper
Copyright
Copyright © Cambridge University Press 2019
Figure 0

Figure 1. Tomato plant with three modified Falcon tubes used for whitefly infestation.

Figure 1

Figure 2. Gene expression levels of the differentially regulated transcripts in each tomato cultivar and treatment. (a) Plants in the absence of infestation. (b) Plants infested by B. tabaci. Each bar (gray color for Moneymaker; black color for Motelle) corresponds to the mean signal of three replicates (Log2 Mean ± SE).

Figure 2

Table 1. Transcripts up-regulated at least double (fold-change ≥ 2) or down-regulated at least half (fold-change ≤ −2) in leaves of the tomato cv. Motelle compared to cv. Moneymaker, in the absence of infestation and considering only significant values (FDR < 0.05)

Figure 3

Table 2. Transcripts up-regulated at least double (fold-change ≥ 2) or down-regulated at least half (fold-change ≤ −2) in whitefly infested leaves of the tomato cv. Motelle compared to infested leaves of cv. Moneymaker, considering only significant values (FDR < 0.05)

Figure 4

Figure 3. Venn diagrams comparing the number of transcripts with differential expression between tomato cultivars, before (no infested) or after (infested) B. tabaci infestation. Up-regulated represent transcripts more expressed in Motelle than in Moneymaker. Down-regulated represent transcripts less expressed in Motelle than in Moneymaker. Only transcripts are included with statistically significant values (FDR < 0.05) of relative expression (fold-change or FC) ≥2 (up) or ≤−2 (down).

Figure 5

Table 3. Transcripts with differential expression between tomato cultivars detected in the analysis of both uninfested and whitefly-infested plants.

Figure 6

Figure 4. Correlation between gene expression values obtained from the microarray analysis (axis X) and from qRT-PCR (axis Y), with a statistically significant (P < 0.0001) value of the Pearson correlation coefficient (r = 0.7475).

Figure 7

Table 4. Analysis of relative expression by qRT-PCR