Skip to main content
Log in

Chlorophyll fluorescence imaging for disease-resistance screening of sugar beet

  • Review
  • Published:
Plant Cell, Tissue and Organ Culture Aims and scope Submit manuscript

Abstract

Both biotic and abiotic stresses cause considerable crop yield losses worldwide (Chrispeels, Sadava Plants, genes, and crop biotechnology 2003; Oerke, Dehne Crop Prot 23:275–285 2004). To speed up screening assays in stress resistance breeding, non-contact techniques such as chlorophyll fluorescence imaging can be advantageously used in the quantification of stress-inflicted damage. In comparison with visual spectrum images, chlorophyll fluorescence imaging reveals cell death with higher contrast and at earlier time-points. This technique has the potential to automatically quantify stress-inflicted damage during screening applications. From a physiological viewpoint, screening stress-responses using attached plant leaves is the ideal approach. However, leaf growth and circadian movements interfere with time-lapse monitoring of leaves, making it necessary to fix the leaves to be studied. From this viewpoint, a method to visualise the evolution of chlorophyll fluorescence from excised leaf pieces kept in closed petri dishes offers clear advantages. In this study, the plant–fungus interaction sugar beet–Cercospora beticola was assessed both in attached leaf and excised leaf strip assays. The attached leaf assay proved to be superior in revealing early, pre-visual symptoms and to better discriminate between the lines with different susceptibility to Cercospora.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

BA:

6-Benzylaminopurine

Chl-FI:

Chlorophyll fluorescence imaging

dpi:

Days postinfection

FL :

Chlorophyll fluorescence image captured after low intensity excitation

FH :

Chlorophyll fluorescence image captured after high intensity excitation

FIS:

Fluorescence imaging system

References

  • Barbagallo RP, Oxborough K, Pallett KE, Baker NR (2003) Rapid, noninvasive screening for perturbations of metabolism and plant growth using chlorophyll fluorescence imaging. Plant Physiol 132:485–493

    Article  PubMed  CAS  Google Scholar 

  • Barna B, Adam AL, Kiraly Z (1997) Increased levels of cytokinin induce tolerance to necrotic diseases and various oxidative stress-causing agents in plants. Phyton-Annales Rei Botanicae 37:25–29

    CAS  Google Scholar 

  • Berger S, Papadopoulos M, Schreiber U, Kaiser W, Roitsch T (2004) Complex regulation of gene expression, photosynthesis and sugar levels by pathogen infection in tomato. Physiol Plant 122:419–428

    Article  CAS  Google Scholar 

  • Buschmann C (1999) Thermal dissipation during photosynthetic induction and subsequent dark recovery as measured by photoacoustic signals. Photosynthetica 36:149–161

    Article  CAS  Google Scholar 

  • Chaerle L, Van Der Straeten D (2000) Imaging techniques and the early detection of plant stress. Trends Plant Sci 5:495–501

    Article  PubMed  CAS  Google Scholar 

  • Chaerle L, Van Der Straeten D (2001) Seeing is believing: imaging techniques to monitor plant health. Biochim Biophys Acta–Gene Struct Expression 1519:153–166

    Article  CAS  Google Scholar 

  • Chaerle L, Hagenbeek D, De Bruyne E, Valcke R, Van Der Straeten D (2004) Thermal and chlorophyll-fluorescence imaging distinguish plant-pathogen interactions at an early stage. Plant Cell Physiol 45:887–896

    Article  PubMed  CAS  Google Scholar 

  • Chaerle L, Saibo N, Van Der Straeten D (2005) Tuning the pores: towards engineering plants for improved water use efficiency. Trends Biotechnol 23:308–315

    Article  PubMed  CAS  Google Scholar 

  • Chrispeels MJ, Sadava DE (2003) Plants, genes, and crop biotechnology. Jones and Bartlett, Boston

    Google Scholar 

  • Cooper C, Crowther T, Smith BM, Isaac S, Collin HA (2006) Assessment of the response of carrot somaclones to Pythium violae, causal agent of cavity spot. Plant Pathol 55:427–432

    Article  Google Scholar 

  • Dita MA, Rispail N, Prats E, Rubiales D, Singh KB (2006) Biotechnology approaches to overcome biotic and abiotic stress constraints in legumes. Euphytica 147:1–24

    Article  Google Scholar 

  • Gan SS, Amasino RM (1995) Inhibition of leaf senescence by autoregulated production of cytokinin. Science 270:1986–1988

    Article  PubMed  CAS  Google Scholar 

  • Fernie AR, Tadmor Y, Zamir D (2006) Natural genetic variation for improving crop quality. Curr Opin Plant Biol 9:196–202

    Article  PubMed  Google Scholar 

  • Fila G, Badeck FW, Meyer S, Cerovic Z, Ghashghaie J (2006) Relationships between leaf conductance to CO2 diffusion and photosynthesis in micropropagated grapevine plants, before and after ex vitro acclimatization. J Exp Bot 57:2687–2695

    Article  PubMed  CAS  Google Scholar 

  • Fuller MP, Metwali EMR, Eed MH, Jellings AJ (2006) Evaluation of abiotic stress resistance in mutated populations of cauliflower (Brassica oleracea var. Botrytis). Plant Cell Tissue Organ Cult 86:239–248

    Article  CAS  Google Scholar 

  • Haisel D, Pospisilova J, Synkova H, Schnablova R, Batkova P (2006) Effects of abscisic acid or benzyladenine on pigment contents, chlorophyll fluorescence, and chloroplast ultrastructure during water stress and after rehydration. Photosynthetica 44:606–614

    Article  CAS  Google Scholar 

  • Horie T, Matsuura S, Takai T, Kuwasaki K, Ohsumi A, Shiraiwa T (2006) Genotypic difference in canopy diffusive conductance measured by a new remote-sensing method and its association with the difference in rice yield potential. Plant Cell Environ 29:653–660

    Article  PubMed  Google Scholar 

  • Huang S, Vleeshouwers V, Visser RGF, Jacobsen E (2005) An accurate in vitro assay for high-throughput disease testing of Phytophthora infestans in potato. Plant Dis 89:1263–1267

    Article  Google Scholar 

  • Jafra S, Jalink H, van der Schoor R, van der Wolf JM (2006) Pectobacterium carotovorum subsp. carotovorum strains show diversity in production of and response to N-acyl homoserine lactones. J Phytopathol 154:729–739

    Article  CAS  Google Scholar 

  • Jauhar PP (2006) Modern biotechnology as an integral supplement to conventional plant breeding: the prospects and challenges. Crop Sci 46:1841–1859

    Article  CAS  Google Scholar 

  • Jones HG (2004) Application of thermal imaging and infrared sensing in plant physiology and ecophysiology. Adv Bot Res 41:107–163

    Article  Google Scholar 

  • Krause GH, Weis E (1991) Chlorophyll fluorescence and photosynthesis: the basics. Annu Rev Plant Physiol Plant Mol Biol 42:313–349

    Article  CAS  Google Scholar 

  • Lenk S, Chaerle L, Pfündel E, Langsdorf G, Hagenbeek D, Lichtenthaler H, Van Der Straeten D, Buschmann C (2007) Multi-colour fluorescence and reflectance imaging at the leaf level and its possible applications. J Exp Bot 58:807–814

    Article  PubMed  CAS  Google Scholar 

  • Maxwell K, Johnson GN (2000) Chlorophyll fluorescence—a practical guide. J Exp Bot 51:659–668

    Article  PubMed  CAS  Google Scholar 

  • Moshou D, Bravo C, Oberti R, West J, Bodria L, McCartney A, Ramon H (2005) Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps. Real-Time Imaging 11:75–83

    Article  Google Scholar 

  • Nejad AR, Harbinson J, van Meeteren U (2006) Dynamics of spatial heterogeneity of stomatal closure in Tradescantia virginiana altered by growth at high relative air humidity. J Exp Bot 57:3669–3678

    Article  CAS  Google Scholar 

  • Nilsson HE (1995) Remote sensing and image analysis in plant pathology. Annu Rev Phytopathol 33:489–527

    Article  CAS  Google Scholar 

  • Oerke EC, Dehne HW (2004) Safeguarding production—losses in major crops and the role of crop protection. Crop Prot 23:275–285

    Article  Google Scholar 

  • Oerke EC, Steiner U, Dehne HW, Lindenthal M (2006) Thermal imaging of cucumber leaves affected by downy mildew and environmental conditions. J Exp Bot 57:2121–2132

    Article  PubMed  CAS  Google Scholar 

  • Oxborough K (2004) Imaging of chlorophyll a fluorescence: theoretical and practical aspects of an emerging technique for the monitoring of photosynthetic performance. J Exp Bot 55:1195–1205

    Article  PubMed  CAS  Google Scholar 

  • Pawelec A, Dubourg C, Briard M (2006) Evaluation of carrot resistance to alternaria leaf blight in controlled environments. Plant Pathol 55:68–72

    Article  Google Scholar 

  • Pontier D, Gan SS, Amasino RM, Roby D, Lam E (1999) Markers for hypersensitive response and senescence show distinct patterns of expression. Plant Mol Biol 39:1243–1255

    Article  PubMed  CAS  Google Scholar 

  • Quilliam RS, Swarbrick PJ, Scholes JD, Rolfe SA (2006) Imaging photosynthesis in wounded leaves of Arabidopsis thaliana. J Exp Bot 57:55–69

    Article  PubMed  CAS  Google Scholar 

  • Scharte J, Schon H, Weis E (2005) Photosynthesis and carbohydrate metabolism in tobacco leaves during an incompatible interaction with Phytophthora nicotianae. Plant Cell Environ 28:1421–1435

    Article  CAS  Google Scholar 

  • Soukupova J, Smatanova S, Nedbal L, Jegorov A (2003) Plant response to destruxins visualised by imaging of chlorophyll fluorescence. Physiol Plant 118:399–405

    Article  CAS  Google Scholar 

  • Thevenaz P, Ruttimann UE, Unser M (1998) A pyramid approach to subpixel registration based on intensity. IEEE Trans Image Process 7:27–41

    Article  PubMed  CAS  Google Scholar 

  • Xie X, Wang Y, Williamson L, Holroyd GH, Tagliavia C, Murchie E, Theobald J, Knight MR, Davies WJ, Leyser HMO, Hetherington AM (2006) The identification of genes involved in the stomatal response to reduced atmospheric relative humidity. Curr Biol 16:882–887

    Article  PubMed  CAS  Google Scholar 

  • Xu JR, Peng YL, Dickman MB, Sharon A (2006) The dawn of fungal pathogen genomics. Annu Rev Phytopathol 44:337–366

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

L.C. is a post-doctoral fellow of the Research Foundation—Flanders. D.H. is a post-doc with financial support provided through the European Community’s Human Potential Programme under contract HPRN-CT-2002–00254, STRESSIMAGING. The authors are grateful to Roland Valcke, Laboratory for Molecular and Physical Plant Physiology, Hasselt University, for advice on chlorophyll fluorescence imaging.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Laury Chaerle or Dominique Van Der Straeten.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chaerle, L., Hagenbeek, D., De Bruyne, E. et al. Chlorophyll fluorescence imaging for disease-resistance screening of sugar beet. Plant Cell Tiss Organ Cult 91, 97–106 (2007). https://doi.org/10.1007/s11240-007-9282-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11240-007-9282-8

Keywords

Navigation