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T-RFLP 방법을 이용한 식물 플랑크톤 군집 구조 모니터링
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 박상규 | - |
| dc.contributor.author | 주성배 | - |
| dc.date.accessioned | 2019-10-21T07:14:06Z | - |
| dc.date.available | 2019-10-21T07:14:06Z | - |
| dc.date.issued | 2009-02 | - |
| dc.identifier.other | 9509 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/17583 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :생명과학과,2009. 2 | - |
| dc.description.tableofcontents | Abstract 1 Table of Contents 2 List of Figures 3 List of Tables 4 Ⅰ. Introduction 5 Ⅱ. Materials and Methods 9 A. Study site and sample collection 9 B. DNA extraction & PCR amplification 11 C. Cloning and sequencing 12 D. T-RFLP analysis 13 E. Estimations of Cryptomonas sp. biovolumes from the Sang-chun reservoir 14 F. Statistical analysis 14 Ⅲ. Results 16 A. Construction of T-RF length database 16 B. Application of T-RFLP to environmental samples from two reservoirs 23 Ⅳ. Discussion 31 Ⅴ. References 37 Ⅵ. 국문요약 43 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | T-RFLP 방법을 이용한 식물 플랑크톤 군집 구조 모니터링 | - |
| dc.title.alternative | Joo Sungbae | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Joo Sungbae | - |
| dc.contributor.department | 일반대학원 생명과학과 | - |
| dc.date.awarded | 2009. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 567702 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000009509 | - |
| dc.subject.keyword | T-RFLP | - |
| dc.subject.keyword | phytoplankton community | - |
| dc.subject.keyword | 18s rRNA genes | - |
| dc.description.alternativeAbstract | To study diversity of phytoplankton community in aquatic ecosystems, I attempted terminal restriction fragment length polymorphism (T-RFLP) approach using the 18s ribosomal RNA gene extracted from culture strains and environmental samples from two reservoirs. T-RF length database was constructed by twelve algal strains obtained from three different algae culture collections. Most of different species were classified using combinational interpretations of forward and reverse terminal restriction fragment (T-RF) length data. From two reservoirs, the Sang-chun reservoir and the Seo-ho reservoir, 30 different phylotypes were identified by obtained DNA sequences and T-RF lengths from clone libraries. Additionally, fluorescence intensities and biovolumes from manual counting for Cryptomonas genera showed a significant linear relationship (r2=0.865). Although I could not identify the whole phytoplankton communities, principle component analysis of T-RFLP profiles discriminated phytoplankton communities between reservoirs and of different sites at different seasons showing a possibility of T-RFLP analysis as a monitoring method to detect changes of phytoplankton community. | - |
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- Graduate School of Ajou University > Department of Bioscience > 3. Theses(Master)
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