Membrane and protein dynamics in virus-infected plant cells

Michael Goodin, Romit Chakrabarty, Sharon Yelton

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

In terms of functional genomics research, Nicotiana benthamiana, more so than other model plants, is highly amenable to high-throughput methods, especially those employing virus-induced gene silencing and agroinfiltration. Furthermore, through recent and ongoing sequencing projects, there are now upward of 18,000 unique N. benthamiana ESTs to support functional genomics research. Despite these advances, the cell biology of N. benthamiana itself, and in the context of virus infection, lags behind that of other model systems. Therefore, to meet the challenges of diverse cell biology studies that will be derived from ongoing functional genomics projects, a series of methods relevant to the characterization of membrane and protein dynamics in virus-infected cells are provided here. The data presented here were derived from our studies with plant rhabdoviruses. However, the employed techniques should be broadly applicable within the field of plant virology. We report here on the use of a novel series of binary vectors for the transient or stable expression of autofluorescent protein fusions in plants. Use of these vectors in conjunction with advanced microscopy techniques such as fluorescent recovery after photobleaching and total internal fluorescence microscopy, has revealed novel insight into the membrane and protein dynamics of virus-infected cells.

Original languageEnglish
Title of host publicationPlant Virology Protocols
Subtitle of host publicationFrom Viral Sequence to Protein Function
Pages377-393
Number of pages17
DOIs
StatePublished - 2008

Publication series

NameMethods in Molecular Biology
Volume451
ISSN (Print)1064-3745

Keywords

  • Agroinfiltration
  • Autofluorescent protein
  • FRAP
  • Laser scanning confocal microscopy
  • Nicotiana benthamiana
  • TIRFM

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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