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Detalle de: The GATA Family of Transcription Factors in Arabidopsis and Rice

Title The GATA Family of Transcription Factors in Arabidopsis and Rice
Abstract

GATA transcription factors are a group of DNA binding proteins broadly distributed in eukaryotes. The GATA factors DNA binding domain is a class IV zinc finger motif in the form CX2CX17–20CX2C followed by a basic region. In plants, GATA DNA motifs have been implicated in light-dependent and nitrate-dependent control of transcription. Herein, we show that the Arabidopsis and the rice (Oryza sativa) genomes present 29 and 28 loci, respectively, that encode for putative GATA factors. A phylogenetic analysis of the 57 GATA factors encoding genes, as well as the study of their intron-exon structure, indicates the existence of seven subfamilies of GATA genes. Some of these subfamilies are represented in both species but others are exclusive for one of them. In addition to the GATA zinc finger motif, polypeptides of the different subfamilies are characterized by the presence of additional domains such as an acidic domain, a CCT (CONSTANS, CO-like, and TOC1) domain, or a transposase-like domain also found in FAR1 and FHY3. Subfamily VI comprises genes that encode putative bi-zinc finger polypeptides, also found in metazoan and fungi, and a tri-zinc finger protein which has not been previously reported in eukaryotes. The phylogeny of the GATA zinc finger motif, excluding flanking regions, evidenced the existence of four classes of GATA zinc fingers, three of them containing 18 residues in the zinc finger loop and one containing a 20-residue loop. Our results support multiple models of evolution of the GATA gene family in plants including gene duplication and exon shuffling.

Apa Reference Reyes, J.C., Muro-Pastor, M.I. & Florencio, F.J. (2004). The GATA Family of Transcription Factors in Arabidopsis and Rice. Plant Physiology, 134(4), 1718-1732. 10.1104/pp.103.037788
Doi 10.1104/pp.103.037788
Publication Date 1 Apr 2004
Publication Type Article
Researcher Jose C. Reyes
Ontology Regulatory biology, Molecular evolution, Evolutionary modelling, Sequence analysis, Phylogenetic Analysis
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