Capsicum annuum, L.
publication ID |
https://doi.org/ 10.1016/j.phytochem.2021.112884 |
DOI |
https://doi.org/10.5281/zenodo.8268961 |
persistent identifier |
https://treatment.plazi.org/id/039E878E-FF97-9231-FCAC-FEB8FF7CFE2B |
treatment provided by |
Felipe |
scientific name |
Capsicum annuum |
status |
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2.2. Disease severity assessment of resistant and susceptible C. annuum View in CoL View at ENA
The results of pathogenicity trials showed a significant difference on disease severity percentage among resistant and susceptible C. annuum genotypes to P. capsici infection, but control plants (non-inoculated C. annuum ) showed no infection ( Table 3 View Table 3 ) (P ≤ 0.01). The highest infection rate 100 % was on susceptible genotypes ‘37ChilP-Paleo’, ‘19OrnP-PBI’ and ‘23CherryP-Orsh’, whereas the lowest infection rate 2 % was on resistant genotypes ‘37ChilP-Paleo’, followed by ‘19OrnP-PBI’ and ‘23CherryP-Orsh’, both by 13 % disease severity ( Table 4 View Table 4 ).
2.3. ISSR markers analysis
The results of tests on markers indicated that nineteen primers out of twenty one implicated primers showed a very distinct banding pattern in which 188 bands were scored and 185 bands were polymorphic. The number of bands varied from 4 bands for MBP-15 and MBP-19 primers to 18 bands for MBP-21 primer, showing the ability of these primers to distinguish the C. annuum accessions clearly. Polymorphism percentage (P%) varied in the range of 78–100 % for MBP-10 and the 21 primers used. The average P% was calculated to be 98.5 % (Supplementary Table 1 View Table 1 ) ( Figs. 1 View Fig and 2 View Fig ). Marker index (MI) ranged from 2.00 to 6.61 and MBP-21 primer with MI = 6.61 had the highest marker index, which indicates the high efficiency of this primer in revealing polymorphism in the genotypes studied in the present investigation. (Supplementary Table 1 View Table 1 ) ( Figs 1 View Fig and 2 View Fig ). The dendrograms were designed on similarity coefficients following Cophenetic coefficient according to which Jaccard similarity coefficient was invoked as a high similarity coefficient, and UPGMA as the best clustering algorithm, according to ISSR markers, ranged from 0.31 to 0.92. The greatest similarity was observed between the C. annuum accessions ‘20GreenP-PBI’ and ‘21OrnP-Banana’ (SC = 0.92) ( Figs 1 View Fig and 2 View Fig ). Based on the dendrogram depicted in Fig. 1 View Fig , the C. annuum accessions were divided into five main groups.
Principal Coordinate Analysis (PCA) showed a strong agreement with the results of ISSR markers, dividing the C. annuum accessions into five distinct genetics variable groups ( Fig. 2 View Fig ), of which three groups had the most accessions. The first group contained all resistant and partially resistant genotypes; the second group contained all very susceptible genotypes, and the third group contained all susceptible genotypes. The presence of the resistant genotype, ‘37ChilP-Paleo’ in the susceptible group indicates that this C. annuum accession is similar to the susceptible genotypes in terms of the genetic parameters, despite its difference with the other cluster C. annuum accessions in reaction to RCR disease ( Figs. 1 View Fig and 2 View Fig ), indicating there was no correlation, r = 0.058 ns between resistant and genetic variability of the C. annuum accessions.
2.4. Assessment of enzyme activity
Peroxidase (POX) activity was significantly induced 1 week after inoculation with P. capsici in the resistant and susceptible C. annuum , compared with the controls ( Fig. 3A View Fig ) (P ≤ 0.05). However, the increase was much more pronounced in resistant ‘37ChilP-Paleo’ by 1.8-fold, followed by resistant ‘23CherryP-Orsh’ and ‘19OrnP-PBI’, with 1.5- and 1.6-fold increases, respectively. By contrast, there was no significant increase in the inoculated susceptible genotypes, 1 week after inoculation in comparison to controls ( Fig. 3A View Fig ).
Activity of Superoxide dismutase (SOD) also increased significantly in the treated C. annuum resistant to P. capsici ( Fig. 3B View Fig ) (P ≤ 0.05). Increases in SOD activity in resistant and susceptible genotypes occurred 1 week after inoculation. The highest SOD activity was recorded in the leaves of the resistant C. annuum ‘23CherryP-Orsh’ (10-fold compared to controls), followed by ‘37ChilP-Paleo’ with 4-fold increase, and ‘19OrnP-PBI’ with 2-fold 1 week after inoculation. There was no significant difference in SOD activity in susceptible ‘26BP-Rstarlet’, ‘2BP-PBI’ and ‘24BP-301’ compared to the controls.
Activity of Polyphenol oxidase (PPO) in the C. annuum genotypes, resistant and or susceptible to P. capsici was significantly induced by inoculation with other fungi ( Fig. 3C View Fig ) (P ≤ 0.05), but this induction was higher in the resistant ‘37ChilP-Paleo’, ‘23CherryP-Orsh’ and ‘19OrnPPBI’ by almost 2-fold, when compared to the susceptible genotypes, 1 week after inoculation. There was no significant variation in PPO activity between the susceptible genotypes and controls 1 week after inoculation.
Catalase (CAT) activities showed the same trend in both inoculated resistant and susceptible C. annuum genotypes ( Fig. 3D View Fig ) (P ≤ 0.05). The highest activity was recorded in C. annuum ‘23CherryP-Orshat’ by 1.5- fold 1 week after inoculation. However, no significant increase was observed in the rest of the inoculated resistant and susceptible C. annuum genotypes ( Fig. 3D View Fig ).
Phenylalanine ammonia-lyase (PAL) activity increased significantly (P ≤ 0.05) in the resistant and susceptible C. annuum genotypes ( Fig. 3E View Fig ). The highest PAL activity (5.5-fold) was observed in the resistant ‘19OrnP-PBI’, followed by ‘23CherryP-Orshat’ by 5.3-fold and ‘37ChilP-Paleo’ with 2.6-fold increase. For all other genotypes there was no significant increase after inoculation ( Fig. 3E View Fig ).
Glucanase activities also showed the same trend in both inoculated resistant and susceptible C. annuum genotypes ( Fig. 3F View Fig ) (P ≤ 0.05). The highest activity was recorded in C. annuum ‘19OrnP-PBI’ by 2.1-fold 1 week after inoculation, followed by ‘37ChilP-Paleo’, 1.5-fold. However, there was a reduction trend in the three inoculated susceptible C. annuum genotypes by 1.0, 1.9 and 2.2-fold compared to non-inocutated controls ( Fig. 3F View Fig ).
Phenolic content was also significantly induced by inoculation with P. capsici in the resistant and susceptible C. annuum ( Fig. 3G View Fig ) (P ≤ 0.05). However, the increase was much more pronounced in resistant genotypes by 1.6, 1.7 and 1.4 respectively. There was also a significant increase in the inoculated susceptible genotypes ‘26BP-RStarlet’ and ‘2BP-PB’ I by 1.2 and 1.1-fold compared to non-inocutated controls, and decrease in ‘24BP-301’ by 1.5-fold ( Fig. 3G View Fig ).
There was no significant correlation (r = 0.058 ns) between resistance and genetic variability, and also between genetic variability and enzyme activity levels. But, in contrast, there was a highly significant and direct correlation between the resistance, bio-mass parameters and enzyme activity levels.
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University of Copenhagen |
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