Skip to main content
Log in

Analysis of pigmentation in individual cultured plant cells using an image processing system

  • Published:
Biotechnology Letters Aims and scope Submit manuscript

Abstract

Anthocyanin accumulation in strawberry (Fragaria ananassa) cells cultured on a solid medium was monitored using an image-processing system that did not require direct sampling or destruction of the cells. Because of the intercellular heterogeneity of secondary metabolite production in plant cell cultures, the maximum metabolite concentration in individual cells is often more than 10 times higher than that of the average concentration. An image-processing based method enabled the growth and the pigmentation behavior of individual cells to be traced. Changes in the time courses of the anthocyanin content of individual cells differed from each other, although the average anthocyanin contents increased gradually with time in a batch culture. However, these various changing patterns in the anthocyanin content of each cell were independent of the cell cycle. In addition, image analysis revealed that the two cells just after cell division were almost identical to each other both in size and anthocyanin content. The proposed method which uses an image-processing system provides a useful tool for analyzing the secondary metabolism in individual cultured plant cells.

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.

Similar content being viewed by others

References

  • Berzin I, Mills D, Merchuk JC (1999) A non-destructive method for secondary metabolite determination in hairy root cultures. J. Chem. Eng. Japan 32:229–234.

    Google Scholar 

  • Durant G, Cox PW, Formisyn P, Thomas CR (1994) Improved image analysis algorithm for the characterization of mycelial aggregates after staining. Biotechnol. Tech. 8: 759–764.

    Google Scholar 

  • Hall RD, Yeoman MM(1986) Temporal and spatial heterogeneity in the accumulation of anthocyanins in cell cultures of Catharantus roseus(L.) G. Don. J. Exp. Bot. 37: 48–60.

    Google Scholar 

  • Hall RD, Yeoman MM (1987) Intercellular and intercultural heterogeneity in secondary metabolite accumulation in cultures of Catharantus roseus following cell line selection. J. Exp. Bot. 38: 1391–1398.

    Google Scholar 

  • Linsmaier EM, Skoog F (1965) Organic growth factor requirements of tobacco tissue cultures. Physiol. Plant 18: 100–127.

    Google Scholar 

  • Miyanaga K, Seki M, Furusaki S (2000) Analysis of pigment accumulation heterogeneity in plant cell population by image processing system. Biotechnol. Bioeng. 67: 493–497.

    Google Scholar 

  • Mori T, Sakurai M (1994) Production of anthocyanin from strawberry cell suspension cultures; effects of sugar and nitrogen. J. Food Sci. 59: 588–593.

    Google Scholar 

  • Mori T, Sakurai M, Shigeta J, Yoshida K, Kondo T (1993) Formation of anthocyanins from cells cultured from different parts of strawberry plants. J. Food Sci. 58: 788–792.

    Google Scholar 

  • Nakamura M, Takeuchi Y, Miyanaga K, Seki M, Furusaki S (1999) High anthocyanin accumulation in the dark by strawberry (Fragaria ananassa) callus. Biotechnol. Lett. 21: 695–699.

    Google Scholar 

  • Olfsdotter M (1993) Image processing: a non-destructive method for measuring growth in cell and tissue culture. Plant Cell Rep. 12: 216–219.

    Google Scholar 

  • Smith MAL, Reid JF, Hansen AC, Li Z, Madhavi DL (1995) Nondestructive machine vision analysis of pigment-producing cell cultures. J. Biotechnol. 40: 1–11.

    Google Scholar 

  • Smith MAL, Spomer LA (1987) Direct quantification of in vitro cell growth through image analysis. In Vitro Cell. Dev. Biol. 23: 67–74.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Miyanaga, K., Seki, M. & Furusaki, S. Analysis of pigmentation in individual cultured plant cells using an image processing system. Biotechnology Letters 22, 977–981 (2000). https://doi.org/10.1023/A:1005612500008

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1005612500008

Navigation