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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Lima, L. M. Batista, V. G. L. Santos, R. C. Melo Filho, P. A. Pinheiro, M. P. N. |
| Description | Country affiliation: Brazil Author Affiliation: Batista VG ( Departamento de Pós-Graduação em Ciências Agrárias, Universidade Estadual da Paraíba, Campina Grande, PB, Brasil.); Pinheiro MP ( Rede Nordeste de Biotecnologia, Universidade Federal Rural de Pernambuco, Recife, PE, Brasil.); Melo Filho PA ( Departamento de Agronomia, Universidade Federal Rural de Pernambuco, Recife, PE, Brasil.); Santos RC ( Embrapa Algodão, Campina Grande, PB, Brasil.); Lima LM ( Embrapa Algodão, Campina Grande, PB, Brasil.) |
| Abstract | Gene sequences previously identified in Arabidopsis buds were used as references in order to estimate temporal and tissue expression in buds, leaves, stem, and root tissues in cotton plants. Buds were evaluated during 3 phases: 2-8, 10-12, and 14-20 mm. Primers were designed for the ARF6, ATFY, and SEUSS genes for use in semi-quantitative reverse transcription-polymerase chain reaction and quantitative reverse transcription-polymerase chain reaction. Different levels of expression of the 3 genes were confirmed in cotton buds as well as in other tissues. The peak of gene expression was observed in buds sized 10-12 mm, after which expression decreased in larger buds. The gene GhFYPP3 was the most promising for further prospection of promoter regions, with regular expression patterns observed in bud sizes 10-12 and 14-20 mm. This trait was not observed in others genes. |
| e-ISSN | 16765680 |
| Journal | Genetics and Molecular Research |
| Issue Number | 3 |
| Volume Number | 14 |
| Language | English |
| Publisher | Fundação de Pesquisas Científicas de Ribeirão Preto |
| Publisher Date | 2015-07-03 |
| Publisher Place | Brazil |
| Access Restriction | Open |
| Subject Keyword | Gossypium Genetics Arabidopsis Gene Expression Regulation, Plant Genes, Plant Real-time Polymerase Chain Reaction Reference Values Spatio-temporal Analysis Transcriptome Research Support, Non-u.s. Gov't Discipline Genetics Discipline Molecular Biology Discipline Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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