Abstract

Imaging technology can provide insight into biological processes governing plant-pathogen interactions. We created and used a bioluminescent strain of Xanthomonas hortorum pv. gardneri (Xgb) to quantify infection processes in plants using tomato as a model. An X. hortorum pv. gardneri is one of the four Xanthomonas species that causes bacterial spots in tomatoes. We used Xgb to quantify bacterial growth in planta, to assess disease severity in resistant and susceptible tomato lines, and to observe infection routes in leaves. A positive and significant linear correlation r (67) = 0.57, p ≤ 0.0001 was observed between bioluminescence signals emitted by Xgb in planta and bacterial populations determined through dilution plating. Based on bioluminescence imaging, resistant and susceptible tomato lines had significantly different average radiances. In addition, there was a positive and significant correlation r = 0.45, p = 0.024 between X. hortorum pv. gardneri-inoculated tomato lines evaluated by bioluminescence imaging and tomatoes rated in the field using the Horsfall-Barrat Scale. Heritability was calculated to compare the genetic variance for disease severity using bioluminescence imaging and classical field ratings. The genetic variances were 25 and 63% for bioluminescence imaging and field ratings, respectively. The disadvantage of lower heritability attained by bioluminescence imaging may be offset by the ability to complete germplasm evaluation experiments within 30 days rather than 90–120 days in field trials. We further explored X. hortorum pv. gardneri infection routes on leaves using spray and dip inoculation techniques. Patterns of bioluminescence demonstrated that the inoculation technique affected the distribution of bacteria, an observation verified using scanning electron microscopy (SEM). We found significant non-random distributions of X. hortorum pv. gardneri on leaf surfaces with the method of inoculation affecting bacterial distribution on leaf surfaces at 4 h postinoculation (hpi). At 18 hpi, regardless of inoculation method, X. hortorum pv. gardneri localized on leaf edges near hydathodes based on bioluminescence imaging and confirmed by electron microscopy. These findings demonstrated the utility of bioluminescent X. hortorum pv. gardneri to estimate bacterial populations in planta, to select for resistant germplasm, and to detect likely points of infection.

Highlights

  • Bioluminescence imaging has become widely used as a method to visualize and monitor molecules, cells, and protein-protein interactions in vitro and biological systems (Thouand and Marks, 2016)

  • There were no differences observed between Xgh and Xgb bacterial populations in Ohio 88119 (OH88119) based on dilution plating on nutrient yeast broth (NYB) media with and without kanamycin and log colony-forming units per gram of leaf tissue (CFU/g) counts (Figure 1A)

  • A positive and significant linear correlation was observed between bioluminescent signals (Total Flux) from inoculated tomato seedlings and bacterial population determined by dilution plating

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Summary

Introduction

Bioluminescence imaging has become widely used as a method to visualize and monitor molecules, cells, and protein-protein interactions in vitro and biological systems (Thouand and Marks, 2016). Because bioluminescence imaging can measure quantitative variation in bacterial growth in planta, imaging systems have been leveraged to distinguish between resistant and susceptible germplasm in different crops. Vesicatoria ( X. euvesicatoria) strain showed significant differences in growth on resistant and susceptible tomato lines (Dane and Dane, 1994), further suggesting that bioluminescence could be used to study plant-host interactions. The resistant pepper line restricted the multiplication of R. solanacearum in the roots relative to a susceptible line suggesting that visualizing bioluminescence can elucidate mechanistic differences in infection processes. These studies emphasize the potential for bioluminescence imaging to supplement field-based phenotyping approaches to identify and select germplasm

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