Non-random sharing of plantae genes

Chan, Cheong Xin and Bhattacharya, Debashish (2011) Non-random sharing of plantae genes. Communicative and Integrative Biology, 4 3: 361-363. doi:10.4161/cib.4.3.15700


Author Chan, Cheong Xin
Bhattacharya, Debashish
Title Non-random sharing of plantae genes
Journal name Communicative and Integrative Biology   Check publisher's open access policy
ISSN 1942-0889
Publication date 2011-05
Sub-type Article (original research)
DOI 10.4161/cib.4.3.15700
Open Access Status DOI
Volume 4
Issue 3
Start page 361
End page 363
Total pages 3
Place of publication Austin, TX, United States
Publisher Landes Bioscience
Collection year 2012
Language eng
Abstract The power of eukaryote genomics relies strongly on taxon sampling. This point was underlined in a recent analysis of red algal genome evolution in which we tested the Plantae hypothesis that posits the monophyly of red, green (including plants) and glaucophyte algae. The inclusion of novel genome data from two mesophilic red algae enabled us to robustly demonstrate the sisterhood of red and green algae in the tree of life. Perhaps more exciting was the finding that >1,800 putative genes in the unicellular red alga Porphyridium cruentum showed evidence of gene-sharing with diverse lineages of eukaryotes and prokaryotes. Here we assessed the correlation between the putative functions of these shared genes and their susceptibility to transfer. It turns out that genes involved in complex interactive networks such as biological regulation and transcription/translation are less susceptible to endosymbiotic or horizontal gene transfer, when compared to genes with metabolic and transporter functions.
Keyword Red algae
Transcriptome
Expressed sequence tag
Phylogenomics
Horizontal gene transfer
Endosymbiosis
Plantae monophyly
Porphyridium
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Institute for Molecular Bioscience - Publications
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 29 Nov 2011, 09:48:52 EST by Cheong Xin Chan on behalf of Institute for Molecular Bioscience