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Phenotype Comparison between Herbicide Tolerant Transgenic Rice and Weedy Rice

제초제 내성 형질전환 벼와 잡초성 벼의 표현형질 비교

  • 고은미 (한국생명공학연구원 바이오평가센터) ;
  • 안주희 (한국생명공학연구원 바이오평가센터) ;
  • 남기정 (한국생명공학연구원 바이오평가센터) ;
  • 남경희 (한국생명공학연구원 바이오평가센터) ;
  • 박기웅 (충남대학교 식물자원학과) ;
  • 백경환 (전남대학교 응용생물공학부) ;
  • 김창기 (한국생명공학연구원 바이오평가센터)
  • Received : 2013.02.07
  • Accepted : 2013.03.04
  • Published : 2013.03.31

Abstract

The phenotypic traits of herbicide-tolerant transgenic rice were compared with those of wild type (Dongjin) as well as two accessions (Hwaseong-aengmi 1 and Gwangyang-aengmi 12) of weedy rice. This study was conducted to investigate whether unintentional alterations in phenotypic characteristics occurred in the transgenic rice and whether the altered traits were similar to those in the two weedy rices. All qualitative traits studied were similar in the transgenic or wild-type rice. On the other hand, awn presence, flag leaf attitude and grain color differed considerably between herbicide-tolerant transgenic rice and weedy rice. As for quantitative traits, plant height, the number of tillers per plant and shoot dry weight were significantly greater for weedy rice than transgenic or wild-type rice. Grain weight per plant and 1000-grain weight of transgenic (or wild-type) rice were significantly greater than those of weedy rice. Transgenic rice shattered less than the other rices. Amylose and protein contents in embryos of transgenic rice were significantly different from those of weedy rice. The potential for weediness of the transgenic rice may be assessed using phenotype comparison between transgenic and weedy rice as shown in this study.

제초제 내성 형질전환 벼와 모본(동진벼) 및 잡초성 벼 두 계통(화성앵미 1과 광양앵미 12)의 표현형질을 비교하였다. 형질전환 벼와 모본의 질적형질은 모두 유사하였지만, 까락의 유무, 지엽 자세 및 종실 색은 형질전환 벼와 잡초성 벼 사이에 큰 차이가 있었다. 양적형질 중에서 초장, 분얼 수 및 지상부 건물중은 형질전환 벼나 모본에 비해 잡초성 벼에서 유의하게 우세했다. 형질전환 벼 및 모본의 주당 종실중과 천립중은 잡초성 벼에 비해 유의하게 무거웠다. 형질전환 벼는 모본 및 잡초성 벼에 비해 탈립이 용이하지 않았으며, 형질전환 벼의 배유 아밀로스 및 단백질 함량은 잡초성 벼와 유의한 차이가 있었다. 이와같은 형질전환 벼와 잡초성 벼 표현형질의 비교 연구는 형질전환 벼의 잡초화 가능성 예측에 활용될 수 있을 것이다.

Keywords

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