Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2016, Vol. 32 ›› Issue (21): 106-116.doi: 10.11924/j.issn.1000-6850.casb16040091

Special Issue: 生物技术 园艺

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Bioinformatic Analysis of GRAS Transcription Factors in Tomato

  

  • Received:2016-04-14 Revised:2016-06-27 Accepted:2016-05-25 Online:2016-07-15 Published:2016-07-15

Abstract: The paper aims to know the structural feature and evolutional information of GRAS gene family in tomato, and provide theoretical basis for further study on GRAS transcription factors. GRAS DNA-binding domain (PF03514) was downloaded from Pfam protein database, and was employed to identify GRAS genes from tomato genome using HMMER 3.0. The obtained amino acid sequences were analyzed with the bioinformatics software, including MEGA 5.2, Weblogo 3, DNAMAN 5.0, Map Inspect and MEME. RT-PCR was used to detect GRAS genes expression in the tissue of roots, stems, leaves, flowers and fruit in tomato. All together 53 tomato GRAS transcription factors were identified and classified into 8 groups, including I, II, III, IV, V, VI, VII, VIII. The phylogenetic tree of GRAS genes among tomato and Arabidopsis demonstrated that the group V and VI encompassed the largest number of GRAS genes, genes with similar function in Arabidopsis thaliana clustered together, so the tomato GRAS genes had similar function within the same group. Chromosome mapping analysis showed that tomato GRAS genes were distributed with different densities on 12 chromosomes. According to the result of the GRAS domain sequence analysis with WebLogo3.0, not all GRAS genes were highly conserved in tomato. Conserved motifs analysis indicated that the part of GRAS genes family was highly conserved. These results suggested that the most of GRAS genes were highly and structurally conserved, and might be involved in the regulation of growth and development processes in tomato.

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