Swedish
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)
Plant Physiology and Biochemistry

Quantitative trait loci for sucrose, starch, and hexose accumulation before heading in rice.

Endast registrerade användare kan översätta artiklar
Logga in Bli medlem
Länken sparas på Urklipp
Ken Ishimaru
Naoki Hirotsu
Yuka Madoka
Takayuki Kashiwagi

Nyckelord

Abstrakt

We studied the storage of sucrose, starch, and hexose before heading in rice (Oryza sativa L.) plants by quantitative trait locus (QTL) analysis with a population of backcross inbred lines (BILs) of japonica cv. Nipponbare x indica cv. Kasalath. Carbohydrates are accumulated in the rice plant before heading and are translated to the panicle after heading. A higher capacity for accumulation is thus a main target for improvement in yield. The form of carbohydrate (sucrose, starch, or hexose) differs depending on the organ in which it is stored. There was no correlation between starch and sucrose or hexose contents in BILs, and the positions of QTLs controlling starch differed from those for sucrose and hexose accumulation. These results suggest that the genetic control of accumulation differs between starch and sugars. QTLs that control the ratio of sucrose to starch content were detected, suggesting the existence of a mechanism(s) that determines this ratio. On chromosome 1, sucrose-phosphate synthase 1, the key enzyme in sucrose synthesis was close to the peaks of the likelihood odds ratios in QTLs for sucrose or hexose content. These results suggest that SPS1 is related to conversion of carbohydrate to sucrose as accumulated form in a plant before heading.

Gå med på vår
facebook-sida

Den mest kompletta databasen med medicinska örter som stöds av vetenskapen

  • Fungerar på 55 språk
  • Växtbaserade botemedel som stöds av vetenskap
  • Örter igenkänning av bild
  • Interaktiv GPS-karta - märka örter på plats (kommer snart)
  • Läs vetenskapliga publikationer relaterade till din sökning
  • Sök efter medicinska örter efter deras effekter
  • Organisera dina intressen och håll dig uppdaterad med nyheterna, kliniska prövningar och patent

Skriv ett symptom eller en sjukdom och läs om örter som kan hjälpa, skriv en ört och se sjukdomar och symtom den används mot.
* All information baseras på publicerad vetenskaplig forskning

Google Play badgeApp Store badge