Analyzing and Predicting Phloem Mobility of Macromolecules with an Online Database

Daogang GUAN, Yiji XIA, Shoudong ZHANG*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingChapterpeer-review

Abstract

Phloem, a specialized plant tissue, serves as a superhighway for macromolecular exchanges between different organs or tissues in plants. These mobile macromolecules may function as signaling molecules to sense intrinsic developmental cues or environmental inputs. Among these mobile molecules, RNAs generally need non-cell-autonomous pathway proteins (NCAPPs) to bind to and help them move along the symplasmic passage (through plasmodesmata) into the phloem stream. Grafting experiments combined with next-generation sequencing discovered that around 11.4% of identified Arabidopsis mobile mRNAs have a tRNA-like structure (TLS) motif. Adding an artificial tRNA-like structure at the 5′ end of cell-autonomous RNAs (e.g., GUS transcript) can trigger its mobility and movement across a grafting junction to distant organs. Based on the accumulated data and the role of the TLS motif in RNA mobility, we built a web server in our database PLaMoM (a database for plant mobile macromolecules) to enable plant biologists to predict and analyze the transcripts they are interested in. In this chapter, we describe how to use our built-in web server to investigate RNA mobility.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages433-438
Number of pages6
DOIs
Publication statusPublished - 2019

Publication series

NameMethods in Molecular Biology
Volume2014
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Scopus Subject Areas

  • Molecular Biology
  • Genetics

User-Defined Keywords

  • Long-distance transport
  • Mobile macromolecules
  • Phloem
  • PLaMoM database
  • Plasmodesmata
  • Systemic signaling
  • TLS motif

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