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1.
Gene ; 568(1): 40-9, 2015 Aug 15.
Artigo em Inglês | MEDLINE | ID: mdl-25958350

RESUMO

Annexin, Ca(2+) or phospholipid binding proteins, with many family members are distributed throughout all tissues during plant growth and development. Annexins participate in a number of physiological processes, such as exocytosis, cell elongation, nodule formation in legumes, maturation and stress response. Six different full-length cDNAs and two partial-length cDNAs of peanut, (AnnAh1, AnnAh2, AnnAh3, AnnAh5, AnnAh6, AnnAh7, AnnAh4 and AnnAh8) encoding annexin proteins, were isolated and characterized using a RT-PCR/RACE-PCR based strategy. The predicted molecular masses of these annexins were 36.0kDa with acidic pIs of 5.97-8.81. ANNAh1, ANNAh2, ANNAh3, ANNAh5, ANNAh6 and ANNAh7 shared sequence similarity from 35.76 to 66.35% at amino acid level. Phylogenetic analysis revealed their evolutionary relationships with corresponding orthologous sequences in soybean and deduced proteins in various plant species. Real-time quantitative assays indicated that these genes were differentially expressed in various organs. Transcript level analysis for six annexin genes under stress conditions showed that these genes were regulated by drought, salinity, heavy metal stress, low temperature and hormone. Additionally, the prediction of cis-regulatory element suggested that different cis-responsive elements including stress- and hormone-responsive-related elements could respond to various stress conditions. These results indicated that members of AnnAhs family may play important roles in the adaptation of peanut to various environmental stresses.


Assuntos
Anexinas/genética , Arachis/genética , Proteínas de Plantas/genética , Sequência de Aminoácidos , Sequência de Bases , Clonagem Molecular , Expressão Gênica , Regulação da Expressão Gênica de Plantas , Dados de Sequência Molecular , Filogenia , Análise de Sequência de DNA , Homologia de Sequência do Ácido Nucleico , Estresse Fisiológico
2.
Electron. j. biotechnol ; Electron. j. biotechnol;28: 76-86, July. 2017. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1015856

RESUMO

Background: Because of its strong specificity and high accuracy, real-time quantitative PCR (RT-qPCR) has been a widely used method to study the expression of genes responsive to stress. It is crucial to have a suitable set of reference genes to normalize target gene expression in peanut under different conditions using RT-qPCR. In this study, 11 candidate reference genes were selected and examined under abiotic stresses (drought, salt, heavy metal, and low temperature) and hormone (SA and ABA) conditions as well as across different organ types. Three statistical algorithms (geNorm, NormFinder and BestKeeper) were used to evaluate the expression stabilities of reference genes, and the comprehensive rankings of gene stability were generated. Results: The results indicated that ELF1B and YLS8 were the most stable reference genes under PEG-simulated drought treatment. For high-salt treatment using NaCl, YLS8 and GAPDH were the most stable genes. Under CdCl2 treatment, UBI1 and YLS8 were suitable as stable reference genes. UBI1, ADH3, and ACTIN11 were sufficient for gene expression normalization in low-temperature experiment. All the 11 candidate reference genes showed relatively high stability under hormone treatments. For organs subset, UBI1, GAPDH, and ELF1B showed the maximum stability. UBI1 and ADH3 were the top two genes that could be used reliably in all the stress conditions assessed. Furthermore, the necessity of the reference genes screened was further confirmed by the expression pattern of AnnAhs. Conclusions: The results perfect the selection of stable reference genes for future gene expression studies in peanut and provide a list of reference genes that may be used in the future.


Assuntos
Arachis/genética , Genes de Plantas , Reação em Cadeia da Polimerase em Tempo Real/métodos , Reguladores de Crescimento de Plantas , Padrões de Referência , Seleção Genética , Estresse Fisiológico , Amplificação de Genes , Temperatura Baixa , Perfilação da Expressão Gênica , Secas
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