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Study for Morphological and Genetic Characteristics of Chinese Milk Vetch (Astragalus sinicus L.) to Select Suitable Line in Central Area of Korea

중부지방 적합 자운영 (Astragalus sinicus L.) 형질 특성 및 유전적 연관성 분석에 관한 연구

  • Hong, Sun Hee (Seed Bank of Wild Resource Plants, Korea University) ;
  • Kim, Jae Yoon (College of Life Science and Biotechnology, Korea University)
  • 홍선희 (고려대학교 야생자원 식물종자은행) ;
  • 김재윤 (고려대학교 생명과학대학 생명공학부)
  • Received : 2016.09.17
  • Accepted : 2016.09.20
  • Published : 2016.09.30

Abstract

Although chemical fertilizers have a quick effect and broad applicability to agricultural fields, they have caused many problems like increasing soil acidity or decreasing soil organic matters. Environmental-friendly agriculture has been attempted in various ways such as organic agriculture, natural farming, low input and sustainable agriculture. The common interest of all environmental-friendly systems is to decrease burden to agricultural environment by low input of agricultural labor and materials. This study was conducted to estimate overwintering capacity and genetic distance among Chinese Milk Vetch (Astragalus sinicus, CMV) collections based on morphological characteristics and AFLP (Amplified fragment length polymorphism) analysis. Furthermore, the effect of CMV as green manure was observed in mix-cultured paddy fields with rice, sesame and sweet-potato. An another objective of this study was also to compare the pattern of weed occurrence in paddy fields with or without CMV and different rice transplanting times. The CMV collected from Paju district in central region of Korea was successively occurring through self-reseeding without artificial management. However, there was no noticeable difference in growth habit between Paju native CMV and introduced CMV from China which is currently used in farm fields. On the basis of multi-dimensional scaling and tree analyses, there are no significant difference of agricultural growth characteristics among Paju and chinese collections only excepting leaf angle and root length. The flowering time of Gurye collection was fast for 1 week as compared to other collections. AFLP that was commonly used for plant classfication, was applied to exam the genetic variation of CMV collections. Total 579 PCR products and 336 polymorphic fragments were generated using 8 primer pairs.

본 연구는 중북부지방 적응성 자운영 선발 및 수집 계통간 형태적, 유전적 근연관계를 분석한 것으로서 총 수집된 16개 자운영 계통 중 파주종은 엽각이 적고, 지하부의 발육이 좋아 형태적 형질이 월동에 적합한 초형이었다. 또한 구례 수집종은 개화기가 타 수집종에 비해 일주일 가량 빨랐다. 유전적 근연관계를 검정하기 위해 8개 primer 조합으로 AFLP를 실시한 결과 총 579개의 밴드를 얻었으며, 이 중 polymorphism을 갖는 밴드는 61.54%인 336개 밴드였다. AFLP 데이터를 이용해 군집분석을 실시한 결과 계통 간 유사도 지수는 0.826~0.939 사이의 값을 가지며, 구례와 파주 수집종은 타 수집종과 유전적 유사도에서 비교적 큰 차이를 보였다.

Keywords

References

  1. Arnon DI. 1949. Copper enzyme in isolated chloroplasts polyphenol oxidase in Beta vulgaris. Plant Physiol. 24:1-15. https://doi.org/10.1104/pp.24.1.1
  2. Bernfeld P. 1955. Amylases, Alpha and Beta. Meth. Enzymology 1:149-158.
  3. Bernet GP, S Bramardi, D Calvache, EA Carbonell and MJ Asins. 2003. Applicability of molecular markers in the context of protection of new varieties of cucumber. Plant Breeding. 122:146-152. https://doi.org/10.1046/j.1439-0523.2003.00838.x
  4. Cho JY, CS Kim and SY Lee. Effects of Pre-cultivation of Chines Milk Vetch (Astragulas sinicus L.) on Rice Growth and Development. Korean J. of Agricultural Science 20:103-108.
  5. Cho YS, SK Hong, MT Song, HP Moon, JH Lee and NS Kim. 1997. Comparison of Genetic Variation Among Rice Varieties Detected by RAPD , AFLP and SSRP. Gene & Genomics 20:117-128.
  6. Chowdhury AK, P Srinives, P Tongpamnak and P Saksoong. 2001. Genetic diversity based on morphology and RAPD analysis in vegetable soybean. Korean J. Crop. Sci. 46:112-120.
  7. Davey JW, PA Hohenlohe, PD Etter, JQ Boone, JM. Catchen and ML Blaxter. 2011. Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Nat. Rev. Genet. 12:499-510. https://doi.org/10.1038/nrg3012
  8. Dexter ST, WE Tottingham and LF Graber. 1932. Investigation of the hardiness of plants by measurement of electrical conductivity. Plant Physiol. 7:63-78. https://doi.org/10.1104/pp.7.1.63
  9. Dillmann C, A Bar-Hen, D Guerin, A Charcosset and A Murigneux. 1997. Comparison of RFLP and morphological distances between maize Zea mays L. inbred lines. Consequences for germplasm protection purposes. Theor. Appl. Genet. 95:92-102. https://doi.org/10.1007/s001220050536
  10. Meinzer FC, GH Goldstein and PW Rundel. 1985. Morphological changes along an altitude gradient and their consequences for an andean giant rosette plant. Oecologia 65:278-283. https://doi.org/10.1007/BF00379230
  11. Kwon YS, JY Moon, Y Kwon, DY Park, WM Yoon, I Song and S Yi. 2003. AFLP analysis for cultivar discrimination in radish and chinese cabbage. Korean J. Breed. 35:319-328.
  12. Lin JJ and J Kuo. 1995. AFLP : A novel PCR-based assay for plant and bacterial DNA fingerprinting. FOCUS 17:66-70.
  13. Mackill DJ, Z Zhan, ED Redona and PM Colowit. 1996. Level of polymorphism and genetic mapping of AFLP markers in rice. Genome 39:969-977. https://doi.org/10.1139/g96-121
  14. Maughan PJ, MA Saghai-Maroof, GR Buss and GM Huestis. 1996. Amplified fragment length polymorphism (AFLP) in soybean: species diversity, inheritance, and near-isogenic line analysis. Theor. Appl. Genet. 93:392-401. https://doi.org/10.1007/BF00223181
  15. Mo SY, SH Im, GD Go, CM Ann and DH Kim. 1998. RAPD analysis for genetic diversity of melon species. Korea. J. Hort. Sci. & Technol. 16:21-24.
  16. Monforte AJ, J Garcia-Mas and P Arus. 2003. Genetic variability in melon based on microsatellite variation. Plant Breeding 122:153-157. https://doi.org/10.1046/j.1439-0523.2003.00848.x
  17. Murray M and W Thompson. 1980. Rapid isolation of high molecular weight plant DNA. Nucl. Acid Res. 8:4321-4325. https://doi.org/10.1093/nar/8.19.4321
  18. Nei M and WH Li. 1979. Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc. Natl. Acad. Sci. USA, 76:5269-5273. https://doi.org/10.1073/pnas.76.10.5269
  19. Seigelman HW and SB Hendricks. 1958. Photocontrol of alchol, aldehyde and anthocyanin production in apple skin. Plant Phys. 33:409-413. https://doi.org/10.1104/pp.33.6.409
  20. Sneath PHA and RR Sokal. 1973. Numerical taxonomy: The principles and practice of numerical classification.
  21. Sokal R and C Michener. 1958. A statistical method for evaluating statistical relationships. Univ. Kansas Sci. Bull. 38:1409-1438.
  22. Song YN, GE Cho, DJ Maeng and JH Nam. 1982. Studies on the physio-ecological components for improvement of ideo-type winter wheat. Korean J. Breed 14:125-138.
  23. Staub JE, Y Danin-Poleg, G Fazio, T Horejsi, N Reis and N Katzir. 2000. Comparative analysis of cultivated melon groups (Cucumis melo L.) using random amplified polymorphic DNA and simple sequence repeat markers. Euphytica 115:225-241. https://doi.org/10.1023/A:1004054014174
  24. Stergios BG and GS Howell. 1973. Evaluation of viability tests for cold stressed plants. Am. Soc. Hort. Sci. 98:325-330.
  25. Vos P, R Hogers, M Bleeker, M Reijans, T. van de Lee, M Hornes, A Frijters, J Pot, J Peleman, M Kuiper and M Zabeau. 1995. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res. 23:4407-4414. https://doi.org/10.1093/nar/23.21.4407
  26. Yoshida S, DA Forno, FH Cook and KA Gomez. 1976. Laboratory manual for physiological studies of rice. 3rd Ed. IRRI. pp. 46-49.