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1.
PLoS One ; 17(4): e0252173, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35482775

RESUMO

East Indian Sandalwood (Santalum album L.) is highly valued for its heartwood and its oil. There have been no efforts to comparative study of high and low oil yielding genetically identical sandalwood trees grown in similar climatic condition. Thus we intend to study a genome wide transcriptome analysis to identify the corresponding genes involved in high oil biosynthesis in S. album. In this study, 15 years old S. album (SaSHc and SaSLc) genotypes were targeted for analysis to understand the contribution of genetic background on high oil biosynthesis in S. album. A total of 28,959187 and 25,598869 raw PE reads were generated by the Illumina sequencing. 2.12 million and 1.811 million coding sequences were obtained in respective accessions. Based on the GO terms, functional classification of the CDS 21262, & 18113 were assigned into 26 functional groups of three GO categories; (4,168; 3,641) for biological process (5,758;4,971) cellular component and (5,108;4,441) for molecular functions. Total 41,900 and 36,571 genes were functionally annotated and KEGG pathways of the DEGs resulted 213 metabolic pathways. In this, 14 pathways were involved in secondary metabolites biosynthesis pathway in S. album. Among 237 cytochrome families, nine groups of cytochromes were participated in high oil biosynthesis. 16,665 differentially expressed genes were commonly detected in both the accessions (SaHc and SaSLc). The results showed that 784 genes were upregulated and 339 genes were downregulated in SaHc whilst 635 upregulated 299 downregulated in SaSLc S. album. RNA-Seq results were further validated by quantitative RT-PCR. Maximum Blast hits were found to be against Vitis vinifera. From this study, we have identified additional number of cytochrome family in high oil yielding sandalwood accessions (SaHc). The accessibility of a RNA-Seq for high oil yielding sandalwood accessions will have broader associations for the conservation and selection of superior elite samples/populations for further genetic improvement program.


Assuntos
Óleos Voláteis , Santalum , Sesquiterpenos , Adolescente , Citocromos/metabolismo , Perfilação da Expressão Gênica , Humanos , Óleos Voláteis/metabolismo , Santalum/genética , Santalum/metabolismo , Sesquiterpenos/metabolismo
2.
Biol Direct ; 12(1): 12, 2017 05 19.
Artigo em Inglês | MEDLINE | ID: mdl-28526057

RESUMO

The protein Gcn1 (General control non-derepressible 1) is found in virtually all eukaryotes, and is a key component of the general amino acid control signal transduction pathway. This pathway is best known for its importance for cells to sense and overcome amino acid starvation. Gcn1 directly binds to the RWD (RING finger-containing proteins, WD-repeat-containing proteins, and yeast DEAD (DEXD)-like helicases) domain of the protein kinase Gcn2, and this is essential for delivering the starvation signal to Gcn2. Gcn2, and thus the GAAC (General Amino Acid Control) pathway, then becomes activated enabling the cell to cope and overcome the starvation condition. Using sensitive homology detection and fold recognition methods a conserved structural domain in Gcn1, RWD Binding Domain (RWDBD), has been recognized that encompasses the region experimentally shown previously to be involved in Gcn2 binding. Further, the structural fold for this domain has been recognized as the ARM (Armadillo) domain, and residues likely to be involved in the binding of Gcn2 RWD domain have been identified within this structural domain. Thus, the current analysis provides a structural basis of Gcn1-Gcn2 association. REVIEWERS: This article was reviewed by Dr Oliviero Carugo and Dr Michael Gromiha.


Assuntos
Aminoácidos/metabolismo , Fatores de Alongamento de Peptídeos/química , Proteínas de Saccharomyces cerevisiae/química , Sequência de Aminoácidos , Sítios de Ligação , Modelos Moleculares , Fatores de Alongamento de Peptídeos/fisiologia , Domínios Proteicos , Proteínas de Saccharomyces cerevisiae/fisiologia , Alinhamento de Sequência , Transdução de Sinais , Relação Estrutura-Atividade
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