• 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"
쳇봇 이모티콘
ScienceON 챗봇입니다.
궁금한 것은 저에게 물어봐주세요.

논문 상세정보


Soybean seeds contain high amounts of isoflavones that display biological effects and isoflavone content of soybean seed can vary by year, environment, and genotype. Objective of this study was to identify quantitative trait loci that underlie isoflavone content in soybean seeds. The study involved 85 $F_2$ populations derived from Korean soybean cultivar 'Kwangkyo' and wild type soybean 'IT182305' for QTL analysis associated with isoflavone content. Isoflavone content of seeds was determined by HPLC. The genetic map of 33 linkage groups with 207 markers was constructed. The linkage map spanned 2,607.5 cM across all 33 linkage groups. The average linkage distance between pair of markers among all linkage groups was 12.6 cM in Kosambi map units. Isoflavone content in $F_2$ generations varied in a fashion that suggested a continuous, polygenic inheritance. Eleven markers (4 RAPD, 3 SSR, 4 AFLP) were significantly associated with isoflavone content. Only two markers, Satt419 and CTCGAG3 had F-tests that were significant at P<0.01 in $F_2$ generation for isoflavone content. Interval mapping using the $F_2$ data revealed only two putative QTLs for isoflavone content. The peak QTL region on linkage group 3, which was near OPAG03c, explained $14\%$ variation for isoflavone content. The peak QTL region on linkage group 5, which was located near OPN14 accounted for $35.3\%$ variation for isoflavone content. Using both Map-Maker-QTL $(LOD{\geq}2.0)$ and single-factor analysis $(P{\leq}0.05)$, one marker, CTCGAG3 in linkage group 3 was associated with QTLs for isoflavone content. This information would then be used in identification of QTLs for isoflavone content with precision

참고문헌 (28)

  1. Diers, B W., R. Keim, W R Fehr, and R C. Shoemaker 1992 RFLP analysis of soybean seed protein and oil content Theor Appl Genet 83 : 608-612 
  2. Kim, H S., S. H. Lee, and Y. H. Lee. 2000. A genetic linkage map of soybean with RFLP, RAPD, SSR, and morphological markers Kor J. Crop Sci. Vol. 45(2) . 123-127 
  3. Lee, S. H , M A. Bailey, M. A R Mian, T E Carter, Jr , D A. Ashley, R. S Hussey, W. A Parrott, and H R Boerma. 1996 Molecular markers associated with soybean plant height, lodging, and maturity across locations. Crop Sci. 36(3) . 728-735 
  4. Mansur, L. M., K. G. Lark, H. Kross, and A. Oliveira. 1993 Interval mapping of quantitative trait loci for reproductive, morphological, and seed traits of soybean (Glycine max L.). Theor. Appl. Genet 86 . 907-913 
  5. Meksem, K , V N NJiti, W J Banz, M. J. Iqbal, M M. Kassem, D. L. Hyten, J. Yuang, T. A Winters, and D. A. Lightfoot 2001 Genomic regions that underline soybean seed isoflavone content J. of Biomedicine and Biotechnology 1(1) : 38-44 
  6. Yang K J and I. M. Chung. 2001. Yearly and genotypic variations in seed isoflavone content of local soybean cultivars. Korean J. Crop Sci 46(2) 139-144 
  7. Cregan, P.B , T Jarvik, A L. Bush, R. C Shoemaker, K. G Lark, A. L. Kahler, N. Kaya, T. T VanToai, D G Lohnes, J. Chung, and J. E. Specht. 1999. An integrated genetic linkage map of the soybean genome. Crop Sci. 39 . 1464-1490 
  8. Mather, K. and J L Jinks. 1971. Bimmetrical Genetics. Chapman and Hall, London 
  9. Tikkanen, M. J., K Wahala, S Ojala, V Wihma, and H. Adlercreutz. 1998. Effect of soybean phytoestrogen intake on low density lipoprotein oxidation resistance. Proc Nat Acad Sci. U.S A. 95 : 3106-3110 
  10. Lincoln, S., M. Daly, and E. Lander. 1992 Mapping genes controlling quantitative traits with MAPMAKER/QTL Whitehead Institutue Technical Report. Ed 2 
  11. Lee, S H., K Y. Park, H S Lee, and H R. Boerma. 1999. Identification of quantitative trait loci associated with traits of soybean for sprout Korean J Crop Sci 44(2) : 166-170 
  12. Yamanaka, N , S. Ninomiya, M Hoshi, Y. Tsubokura, M Yano, Y. Nagamura, T. Sasaki, and K Harada. 2001. An informative linkage map of soybean reveals QTLs for flowering time, leaflet morphology, and regions of segregation distortion DNA Research 8 61-72 
  13. Kudou, S , Y , Fleury, D. Welti, D Magnolato, T Uchida, K Kitamura, and K. Okubo. 1991. Malonyl isoflavone glycosides in soybean seeds (Glycine max MERRILL). Agric Biol Chem 55 . 2227-2233 
  14. Barnes, S., H Kim, and J Xu 1999. Soy the prevention and treatment of chronic disease. Annals of the Brazilian Soybean Congress, pp 265-308. I Brazilian Soybean Congress, Londrina, PR, Brazil 
  15. Eldndge, A C and W. F Kwolek. 1983 Soybean isoflavons: effect of environment and vanety on composition. J. Agric. Food Chem 31 : 394-396 
  16. Chung, J., H. L. Babka, G L. Graef, P.E. Staswick, D. J. Lee, P. B. Cregan, R C Shoemaker, and J. E. Specht. 2003. The seed protein, oil, and yield QTL on soybean linkage Group I Crop Sci. 43 : 1053-1067 
  17. Wang, H J. and P. A. Murphy 1994. Isoflavone content in commercial soybean foods. J Agric Food Chern 42: 1666-1673 
  18. Keim, P, B. W. Diers, T C Olson, and R C Shoemaker 1990 RFLP mapping in soybean. Association between marker Ioci and variation in quantitative traits Genetics 126 . 735-742 
  19. Kim, H. S., S. H. Lee, K. Y. Park, and Y. H. Lee. 2000. Identification of quantitative trait loci associated with seed size and weight in soybean. Kor. J. Crop Sci. 45(4) : 227-231 
  20. Kim, M. S , Y. J. Cho, D. J. Park, S. J. Han, J. H. Oh, J. G. Hwang, M. S. Ko, and J. I. Chung. 2003. Construction of genetic linkage map for Korean soybean genotypes using molecular markers Korean J. Crop Sci 48(4) : 297-302 
  21. Kosambi, D. D. 1944. The estimation of map distance from recombination values. Ann. Eugen. 12 . 172-175 
  22. Kurzer, M S 2000. Hormonal effects of soy isoflavones. studies in premenopausal and postmenopausal women, J. Nutr. 130 : 660S-661S 
  23. Erdman , J. W. Jr. and S. M Potter. 1997. Soy and bone health. The Soy Connection 5(2) 1-4 
  24. Lander E. S and D. Botstein. 1989. Mapping mendelian factors underlying quantitative traits using RFLP likage maps. Genetics 121 185-199 
  25. Lucimara, c., N. D Piovesan, L. K Naoe, I. C Jose, J. M. S Viana, M A Moreira, and E. G. D. Barros. 2004. Genetic parameters relating isoflavone and protein content in soybean seeds. Euphytica 138 . 55-60 
  26. Saghai-Maroof, M. A, K. M Soliman, R A. Jorgensen, and R W Allard. 1984 Ribosomal DNA spacer-length polymorphisms in barley: Mendelian inheritance, chromosomal Iocation and population dynamics. Proc Natl Acad Sci. 81 . 8014-8018 
  27. Keim, P., J. M. Schupp, S. E. Travis, K. Clayton, T. Zhu, L. Shi, A. Ferreira, and D. M. Webb 1997 A high-density soybean genetic map based on AFLP markers Crop Sci. 37 537-543 
  28. Shoemaker, R C and J E. Specht 1995 Integration of the soybean molecular and classical genetic linkage groups Crop Sci. 35 : 436-446 

이 논문을 인용한 문헌 (1)

  1. Kim, Seong-Hun ; Chung, Jong-Wook ; Moon, Jung-Kyung ; Woo, Seon-Hee ; Cho, Yong-Gu ; Jong, Seung-Keun ; Kim, Hong-Sig 2006. "Discrimination of Korean Soybean Cultivars by SSR Markers" Korean journal of crop science = 韓國作物學會誌, 51(7): 658~668 


원문 PDF 다운로드

  • ScienceON :

원문 URL 링크

원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다. (원문복사서비스 안내 바로 가기)

상세조회 0건 원문조회 0건

DOI 인용 스타일