Portal de Periódicos da CAPES

Artigo Acesso aberto Produção Nacional Revisado por pares

BIBTEX RIS

Evaluation of Monocot and Eudicot Divergence Using the Sugarcane Transcriptome

2004; Oxford University Press; Volume: 134; Issue: 3 Linguagem: Inglês

10.1104/pp.103.033878

1532-2548

Michel Vincentz, Frank A.A. Cara, Vagner Katsumi Okura, Felipe Rodrigues da Silva, Guilherme Pedrosa, Adriana Silva Hemerly, Adriana N. Capella, Mozart Marins, Paulo C.G. Ferreira, Suzelei de Castro França, Laurent Grivet, André L. Vettore, Edson L. Kemper, Willian L. Burnquist, Maria Luísa P.N. Targon, Walter José Siqueira, Eiko E. Kuramae, Celso Luís Marino, Luís Eduardo Aranha Camargo, Helaine Carrer, Luiz Lehmann Coutinho, Luiz Roberto Furlan, Manoel Victor Franco Lemos, Luiz R. Nunes, Suely Lopes Gomes, Roberto Vicente Santelli, Maria Helena S. Goldman, Maurício Bacci, Éder Antônio Giglioti, Otávio Henrique Thiemann, Flávio Henrique Silva, Marie‐Anne Van Sluys, Francisco G. Nóbrega, Paulo Arruda, Carlos Frederico Martins Menck,

Biofuel production and bioconversion

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.