Evaluation of Monocot and Eudicot Divergence Using the Sugarcane Transcriptome
- 1 March 2004
- journal article
- research article
- Published by Oxford University Press (OUP) in Plant Physiology
- Vol. 134 (3) , 951-959
- https://doi.org/10.1104/pp.103.033878
Abstract
Over 40,000 sugarcane (Saccharum officinarum) consensus sequences assembled from 237,954 expressed sequence tags were compared with the protein and DNA sequences from other angiosperms, including the genomes of Arabidopsis and rice (Oryza sativa). Approximately two-thirds of the sugarcane transcriptome have similar sequences in Arabidopsis. These sequences may represent a core set of proteins or protein domains that are conserved among monocots and eudicots and probably encode for essential angiosperm functions. The remaining sequences represent putative monocot-specific genetic material, one-half of which were found only in sugarcane. These monocot-specific cDNAs represent either novelties or, in many cases, fast-evolving sequences that diverged substantially from their eudicot homologs. The wide comparative genome analysis presented here provides information on the evolutionary changes that underlie the divergence of monocots and eudicots. Our comparative analysis also led to the identification of several not yet annotated putative genes and possible gene loss events in Arabidopsis.Keywords
This publication has 51 references indexed in Scilit:
- Bioinformatics of the sugarcane EST projectGenetics and Molecular Biology, 2001
- Comparative Genomics Between Rice and Arabidopsis Shows Scant Collinearity in Gene OrderGenome Research, 2001
- Trimming and clustering sugarcane ESTsGenetics and Molecular Biology, 2001
- The sugarcane signal transduction (SUCAST) catalogue: prospecting signal transduction in sugarcaneGenetics and Molecular Biology, 2001
- Phylogenetic analyses do not support horizontal gene transfers from bacteria to vertebratesNature, 2001
- Life with 25,000 GenesGenome Research, 2001
- Initial sequencing and analysis of the human genomeNature, 2001
- ChloroP, a neural network‐based method for predicting chloroplast transit peptides and their cleavage sitesProtein Science, 1999
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programsNucleic Acids Research, 1997
- Prediction of complete gene structures in human genomic DNAJournal of Molecular Biology, 1997