Close
Help
Need Help?





JOURNAL

Evolutionary Bioinformatics

742,920 Journal Article Views | Journal Analytics

Evolution of the RALF Gene Family in Plants: Gene Duplication and Selection Patterns

Submit a Paper



Publication Date: 11 Jun 2012

Type: Original Research

Journal: Evolutionary Bioinformatics

Citation: Evolutionary Bioinformatics 2012:8 271-292

doi: 10.4137/EBO.S9652

Abstract

Rapid alkalinization factors (RALFs) are plant small peptides that could induce a rapid pH increase in the medium of plant cell suspension culture and play a critical role in plant development. The evolutionary process of the RALF gene family remains unclear. To obtain details of the phylogeny of these genes, this study characterized RALF genes in Arabidopsis, rice, poplar and maize. Phylogenetic trees, evolutionary patterns and molecular evolutionary rates were used to elucidate the evolutionary process of this gene family. In addition, the different signatures of selection, expression patterns, and subcellular localization of RALFs were also analyzed. We found that the RALF gene family had a rapid birth process after the separation of the eudicot and monocot species about 145 million years ago, that tandem duplication played a dominant role in the expansion of Arabidopsis and rice RALF gene family, and that RALFs were under purifying selection according to estimations of the substitution rates of these genes. We also identified a diverse expression pattern of RALF genes and predominant extracellular localization feature of RALF proteins. Our findings shed light on several key differences in RALF gene family evolution among the plant species, which may provide a scaffold for future functional analysis of this family.


Downloads

PDF  (6.73 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML




Our Service Promise

  • Prompt Processing (3 Weeks to Editorial Decision)
  • Fair, Independent Peer Review
  • High Visibility & Extensive Indexing
What Your Colleagues Say About Evolutionary Bioinformatics
According to my experience as a co-author, I recommend potential authors to publish their innovative bioinformatics work in Evolutionary Bioinformatics.  I am particularly satisfied with the rapid and high-quality review process, proofs delivery and eventual publication.
Dr Leho Tedersoo (University of Tartu, Estonia)
More Testimonials

Quick Links




Follow Us We make it easy to find new research papers.




SUBJECT HUBS
Author Survey Results
author_survey_results
All authors are surveyed after their articles are published. Authors are asked to rate their experience in a variety of areas, and their responses help us to monitor our performance. Presented here are their responses in some key areas. No 'poor' or 'very poor' responses were received; these are represented in the 'other' category.
See Our Results