Danish
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)
Molecular Genetics and Genomics 2012-Sep

Transcriptional network analysis of the tryptophan-accumulating rice mutant during grain filling.

Kun registrerede brugere kan oversætte artikler
Log ind / Tilmeld
Linket gemmes på udklipsholderen
Dong Sub Kim
Kyung Jun Lee
Won Cheol Yim
Jin-Baek Kim
Bo-Keun Ha
Sang Hoon Kim
Si-Yong Kang

Nøgleord

Abstrakt

In a previous study, we selected a high tryptophan (Trp)-accumulating rice (Oryza sativa L.) mutant line by in vitro mutagenesis using gamma rays. To obtain detailed information about the Trp biosynthetic pathway during the grain-filling in rice, we investigated the gene expression profiles in the wild-type (cv. Dongan) and the high-level Trp-accumulating mutant line (MRVII-33) at five different grain-filling stages using microarray analysis. The mutant line showed approximately 6.3-fold higher Trp content and 2.3-fold higher amino acids compared with the original cultivar at the final stage (stage V). The intensity of gene expression was analyzed and compared between the wild-type and mutant line at each of the five grain-filling stages using the Rice 4 × 44K oligo DNA microarray. Among the five stages, stage III showed the highest gene expression changes for both up- and down-regulated genes. Among the Trp biosynthesis-related genes, trpG showed high expression in the mutant line during stages I to IV and trpE showed higher at stage III. Gene clustering was performed based on the genes of KEGG's amino acid metabolism, and a total of 276 genes related to amino acid metabolism were placed into three clusters. The functional annotation enrichment analysis of the genes classified into the three clusters was also conducted using ClueGO. It was found that cluster 3 uniquely included biological processes related to aromatic amino acid metabolism. These results suggest that gene analysis based on microarray data is useful for elucidating the biological mechanisms of Trp accumulation in high Trp-accumulating mutants at each of the grain-filling stages.

Deltag i vores
facebook-side

Den mest komplette database med medicinske urter understøttet af videnskab

  • Arbejder på 55 sprog
  • Urtekurer, der understøttes af videnskab
  • Urtegenkendelse ved billede
  • Interaktivt GPS-kort - tag urter på stedet (kommer snart)
  • Læs videnskabelige publikationer relateret til din søgning
  • Søg medicinske urter efter deres virkninger
  • Organiser dine interesser og hold dig opdateret med nyhedsundersøgelser, kliniske forsøg og patenter

Skriv et symptom eller en sygdom, og læs om urter, der kan hjælpe, skriv en urt og se sygdomme og symptomer, den bruges mod.
* Al information er baseret på offentliggjort videnskabelig forskning

Google Play badgeApp Store badge