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한국자원식물학회 / v.17, no.3, 2004년, pp.265-271 
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AFLP marker를 이용한 콩의 유전적 다양성과 유전분리 분석
( Diversity and Inheritance of AFLP Markers in Wild and Cultivated Soybeans ) |
| 김용호;윤홍태; 순천향대학교 생명과학부;작물과학원 기능개발과;
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| 초 록 |
| AFLP marker의 유용성 을 알아보고자 재배콩과 야생콩을 대상으로 유전적 다양성과 유전분리 현상을 분석하였다. 공시 재료들의 polymorphism은 재배 콩과 야생 콩에서 각각 평 균 2 9%와 12.2%의 polymorphism을 보였으며, 재배 콩과 야생 콩에서 공히 유전적 다양성을 보인 DNA단편은 11개 primer 평균 24개를 나타내었다. Primer 조합별로도 polymorphism에 다양한 차이가 있었는데 평균 22.9%로 13.0-38.5%의 변이를 나타내었다. 재배 콩 간의 교잡후대(화엄풋콩 ${ imes}$ PI417479) F$_2$집단에서 AFLP marker의 유전분리 양상을 분석한 결과 3 : 1의 분리 비를 따르는 것으로 판단되었다. |
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| Genetic variation is the basis of crop improvement. Limited genetic diversity in a crop species may restrict the amount of genetic improvement that can be achieved through plant breeding. Soybean is one of the world's most important crops. A potential source of genetic variability for the cultivated soybean is the wild species G. soja Sieb. ＆amp; Zucc. Amplified fragment length polymorphism (AFLP) analysis is a PCR-based technique, which can detect a 10-fold greater nubmer of loci than other DNA marker analysis. Twenty cultivated soybeans and two-hundred wild soybeans were used to determine genetic vatiations by AFLPs and evaluate the usefulness of AFLPs as DNA markers. Six-hundred and ten fragments were detected with an average of 56 AFLP fragments produced per primer in a total of 11 AFLP primer pairs. The number of polymorphic loci detected per primer ranged from 7 to 20 and the polymorphism was greater in wild than in cultivated soybean. F$_2$ segregation analysis of four AFLP fragments in combination of Hwaeomputkong ${ imes}$ PI 417479 indicated that they segregate as stable Mendelian loci with 3 : 1. This results strongly suggest that the AFLP analysis is a good technique for the detection of genetic polymorphism in a wide plant species. |
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| 키워드 |
| AFLP;DNA markers;inheritance;polymorphism;soybean; |
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한국자원식물학회지 / v.17, no.3, 2004년, pp.265-271
한국자원식물학회
ISSN : 1226-3591
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200411922971555)
언어 : 한국어 |
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| 논문 제공 : KISTI 한국과학기술정보연구원 |
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