Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Integrative Plant Biology 2011-Dec

RNA editing sites exist in protein-coding genes in the chloroplast genome of Cycas taitungensis.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Haiyan Chen
Likun Deng
Yuan Jiang
Ping Lu
Jianing Yu

Palavras-chave

Resumo

RNA editing is a post-transcriptional process that results in modifications of ribonucleotides at specific locations. In land plants editing can occur in both mitochondria and chloroplasts and most commonly involves C-to-U changes, especially in seed plants. Using prediction and experimental determination, we investigated RNA editing in 40 protein-coding genes from the chloroplast genome of Cycas taitungensis. A total of 85 editing sites were identified in 25 transcripts. Comparison analysis of the published editotypes of these 25 transcripts in eight species showed that RNA editing events gradually disappear during plant evolution. The editing in the first and third codon position disappeared quicker than that in the second codon position. ndh genes have the highest editing frequency while serine and proline codons were more frequently edited than the codons of other amino acids. These results imply that retained RNA editing sites have imbalanced distribution in genes and most of them may function by changing protein structure or interaction. Mitochondrion protein-coding genes have three times the editing sites compared with chloroplast genes of Cycas, most likely due to slower evolution speed.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge