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. 2014 Nov 21;5:636. doi: 10.3389/fmicb.2014.00636

Table 4.

Transcriptional data of SQR9 when confronted with different fungal pathogens.

Gene Relative gene expression (fold change)
M VDK SS FOC RSK FS PP
bmyD 0.247 ± 0.006c 0.243 ± 0.004c 1.732 ± 0.002d 2.603 ± 0.006f 0.180 ± 0.001b 0.120 ± 0.006a 1.990 ± 0.001e
fenA 0.924 ± 0.006c 12.807 ± 0.006f 0.920 ± 0.001c 2.932 ± 0.002d 0.80 ± 0.001b 0.640 ± 0.001a 3.210 ± 0.001e
srfA 0.860 ± 0.001b 0.672 ± 0.003b 3.763 ± 0.005e 0.111 ± 0.001a 3.053 ± 0.003d 1.488 ± 0.577c 1.551 ± 0.001c
dhbA 0.885 ± 0.006b 15.121 ± 0.001g 2.692 ± 0.002c 10.233 ± 0.003f 3.295 ± 0.005d 0.88 ± 0.001a 4.732 ± 0.001e
a−b

Means and standard deviations were calculated from relative gene expression of SQR9 classified into different genes. Small letters in brackets indicate significant differences as determined by One-Way ANOVA and Duncan's multiple range tests.

QRT-PCR result of SQR9 monoculture is represented as m, QRT-PCR results of SQR9 confronted with Verticillium dahliae Kleb, Sclerotinia sclerotiorum, Fusarium oxysporum, Rhizoctonia solani, Fusarium solani, Phytophthora parasitica var. nicotianae are represented as VDK, SS, FOC, RSK, FS, and PP, respectively. B. amyloliquefaciens SQR9-recA was used as an internal reference gene. Data are expressed as log10 relative quantification (RQ) (−2ΔΔ CT). Data represent the mean value ± standard error from three replicates. The data obtained were analyzed by One-Way ANOVA analysis and means were analyzed by the Duncan's multiple range tests at P ≤ 0.05.