Background: Fusarium crown rot is a chronic disease in cereal production worldwide. The impact of this disease is highly environmentally dependant and significant yield losses occur mainly in drought-affected crops.
Results: In the study reported here, we evaluated possible relationships between genes conferring FCR resistance and drought tolerance using two approaches. The first approach studied FCR induced DEGs (differentially expressed genes) targeting two barley and one wheat loci against a panel of selected genes with known functions in drought tolerance. Of the 149 selected genes, 61% were responsive to FCR infection across the three loci. The second approach was an comparison of the global DEGs induced by FCR infection with the global transcriptomic responses under drought in wheat. This analysis found that approximately 48.0% percent of the DEGs detected one week following drought treatment and 74.4% of the DEGs detected three weeks following drought treatment were also differentially expressed between the susceptible and resistant isolines under FCR infection at one or more timepoints. As for the results from the first approach, the vast majority of common DEGs were downregulated under drought and expressed more highly in the resistant isoline than the sensitive isoline under FCR infection.
Conclusions: Results from this study suggest that the resistant isoline in wheat was experiencing less drought stress, which could contribute to the stronger defence response than the sensitive isoline. However, most of the genes induced by drought stress in barley were more highly expressed in the susceptible isolines than the resistant isolines under infection, indicating that genes conferring drought tolerance and FCR resistance may interact differently between these two crop species. Nevertheless, the strong relationship between FCR resistance and drought responsiveness provide further evidence indicating the possibility to enhance FCR resistance by manipulating genes conferring drought tolerance.

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Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
Supplementary Figure 1. Venn diagrams displaying the overlaps between up-regulated and down-regulated DEGs identified in the comparison between resistant versus susceptible isolines targeting the 3BL locus with DEGs responsive to drought in wheat. Panel A displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel B displays down-regulated SI vs RI DEGs versus DEGs downregulated under drought (T4 and T6). Panel C displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel D displays down-regulated SI vs RI DEGs versus DEGs up-regulated under drought (T4 and T6). Supplementary Figure 2. Scatterplots showing the correlation between DEG expression values for SI vs RI up-regulated genes versus genes down-regulated under drought. Panels A and C compare 3dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes respectively. Panels B and D compare 5dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes, respectively. r values show the correlation co-efficient (Pearson) between DEG expression values. Axes display the log2 differential expression fold-changes for SI vs RI (x-axis) versus log2 differential expression fold-changes under drought (y-axis). Blue lines represent the line of best fit and shading shows the pointwise 95% confidence interval of the regression.
Supplementary Figure 1. Venn diagrams displaying the overlaps between up-regulated and down-regulated DEGs identified in the comparison between resistant versus susceptible isolines targeting the 3BL locus with DEGs responsive to drought in wheat. Panel A displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel B displays down-regulated SI vs RI DEGs versus DEGs downregulated under drought (T4 and T6). Panel C displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel D displays down-regulated SI vs RI DEGs versus DEGs up-regulated under drought (T4 and T6). Supplementary Figure 2. Scatterplots showing the correlation between DEG expression values for SI vs RI up-regulated genes versus genes down-regulated under drought. Panels A and C compare 3dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes respectively. Panels B and D compare 5dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes, respectively. r values show the correlation co-efficient (Pearson) between DEG expression values. Axes display the log2 differential expression fold-changes for SI vs RI (x-axis) versus log2 differential expression fold-changes under drought (y-axis). Blue lines represent the line of best fit and shading shows the pointwise 95% confidence interval of the regression.
Gene Ontology enrichment analysis outputs for DEGs from various NIL/treatment comparisons.
Gene Ontology enrichment analysis outputs for DEGs from various NIL/treatment comparisons.
Details of the 149 drought tolerance associated genes curated from the literature for the targeted comparison of shared drought and crown rot transcriptional responses.
Details of the 149 drought tolerance associated genes curated from the literature for the targeted comparison of shared drought and crown rot transcriptional responses.
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Invitations sent on 19 Nov, 2020
On 19 Nov, 2020
Received 19 Nov, 2020
Received 19 Nov, 2020
On 16 Nov, 2020
On 15 Nov, 2020
On 29 Oct, 2020
Background: Fusarium crown rot is a chronic disease in cereal production worldwide. The impact of this disease is highly environmentally dependant and significant yield losses occur mainly in drought-affected crops.
Results: In the study reported here, we evaluated possible relationships between genes conferring FCR resistance and drought tolerance using two approaches. The first approach studied FCR induced DEGs (differentially expressed genes) targeting two barley and one wheat loci against a panel of selected genes with known functions in drought tolerance. Of the 149 selected genes, 61% were responsive to FCR infection across the three loci. The second approach was an comparison of the global DEGs induced by FCR infection with the global transcriptomic responses under drought in wheat. This analysis found that approximately 48.0% percent of the DEGs detected one week following drought treatment and 74.4% of the DEGs detected three weeks following drought treatment were also differentially expressed between the susceptible and resistant isolines under FCR infection at one or more timepoints. As for the results from the first approach, the vast majority of common DEGs were downregulated under drought and expressed more highly in the resistant isoline than the sensitive isoline under FCR infection.
Conclusions: Results from this study suggest that the resistant isoline in wheat was experiencing less drought stress, which could contribute to the stronger defence response than the sensitive isoline. However, most of the genes induced by drought stress in barley were more highly expressed in the susceptible isolines than the resistant isolines under infection, indicating that genes conferring drought tolerance and FCR resistance may interact differently between these two crop species. Nevertheless, the strong relationship between FCR resistance and drought responsiveness provide further evidence indicating the possibility to enhance FCR resistance by manipulating genes conferring drought tolerance.

Figure 1

Figure 1

Figure 2

Figure 2

Figure 3

Figure 3

Figure 4

Figure 4

Figure 5

Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
Supplementary Figure 1. Venn diagrams displaying the overlaps between up-regulated and down-regulated DEGs identified in the comparison between resistant versus susceptible isolines targeting the 3BL locus with DEGs responsive to drought in wheat. Panel A displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel B displays down-regulated SI vs RI DEGs versus DEGs downregulated under drought (T4 and T6). Panel C displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel D displays down-regulated SI vs RI DEGs versus DEGs up-regulated under drought (T4 and T6). Supplementary Figure 2. Scatterplots showing the correlation between DEG expression values for SI vs RI up-regulated genes versus genes down-regulated under drought. Panels A and C compare 3dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes respectively. Panels B and D compare 5dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes, respectively. r values show the correlation co-efficient (Pearson) between DEG expression values. Axes display the log2 differential expression fold-changes for SI vs RI (x-axis) versus log2 differential expression fold-changes under drought (y-axis). Blue lines represent the line of best fit and shading shows the pointwise 95% confidence interval of the regression.
Supplementary Figure 1. Venn diagrams displaying the overlaps between up-regulated and down-regulated DEGs identified in the comparison between resistant versus susceptible isolines targeting the 3BL locus with DEGs responsive to drought in wheat. Panel A displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel B displays down-regulated SI vs RI DEGs versus DEGs downregulated under drought (T4 and T6). Panel C displays the overlap between up-regulated SI vs RI DEGs (3dpi and 5dpi) and Panel D displays down-regulated SI vs RI DEGs versus DEGs up-regulated under drought (T4 and T6). Supplementary Figure 2. Scatterplots showing the correlation between DEG expression values for SI vs RI up-regulated genes versus genes down-regulated under drought. Panels A and C compare 3dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes respectively. Panels B and D compare 5dpi SI vs RI up-regulated genes with drought T4 and drought T6 down-regulated genes, respectively. r values show the correlation co-efficient (Pearson) between DEG expression values. Axes display the log2 differential expression fold-changes for SI vs RI (x-axis) versus log2 differential expression fold-changes under drought (y-axis). Blue lines represent the line of best fit and shading shows the pointwise 95% confidence interval of the regression.
Gene Ontology enrichment analysis outputs for DEGs from various NIL/treatment comparisons.
Gene Ontology enrichment analysis outputs for DEGs from various NIL/treatment comparisons.
Details of the 149 drought tolerance associated genes curated from the literature for the targeted comparison of shared drought and crown rot transcriptional responses.
Details of the 149 drought tolerance associated genes curated from the literature for the targeted comparison of shared drought and crown rot transcriptional responses.
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