• 제목/요약/키워드: Species Discrimination

검색결과 161건 처리시간 0.026초

FT-IR 스펙트럼 데이터의 다변량 통계분석 기법을 이용한 바위솔속 식물의 분류학적 유연관계 예측 및 판별 (Prediction and discrimination of taxonomic relationship within Orostachys species using FT-IR spectroscopy combined by multivariate analysis)

  • 권용국;김석원;서정민;우태하;유장렬
    • Journal of Plant Biotechnology
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    • 제38권1호
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    • pp.9-14
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    • 2011
  • To determine whether pattern recognition based on metabolite fingerprinting for whole cell extracts can be used to discriminate cultivars metabolically, leaves of nine commercial Orostachys plants were subjected to Fourier transform infrared spectroscopy (FT-IR). FT-IR spectral data from leaves were analyzed by principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA). The dendrogram based on hierarchical clustering analysis of these PLS-DA data separated the nine Orostachys species into five major groups. The first group consisted of O. iwarenge 'Yimge', 'Jeju', 'Jeongsun' and O. margaritifolius 'Jinju' whereas in the second group, 'Sacheon' was clustered with 'Busan,' both of which belong to O. malacophylla species. However, 'Samchuk', belong to O. malacophylla was not clustered with the other O. malacophylla species. In addition, O. minuta and O. japonica were separated to the other Orostachys plants. Thus we suggested that the hierarchical dendrogram based on PLS-DA of FT-IR spectral data from leaves represented the most probable chemotaxonomical relationship between commercial Orostachys plants. Furthermore these metabolic discrimination systems could be applied for reestablishment of precise taxonomic classification of commercial Orostachys plants.

Metabolic classification of herb plants by NMR-based metabolomics

  • Kim, Hee-Eun;Choi, Ye Hun;Choi, Kwang-Ho;Park, Ji Su;Kim, Hyeon Su;Jeon, Jun Hyeok;Heu, Min Soo;Shin, Dong-Seon;Lee, Joon-Hwa
    • 한국자기공명학회논문지
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    • 제16권2호
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    • pp.91-102
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    • 2012
  • Metabolomics is the systematic identification and quantification of all metabolites in an organism or biological sample. NMR has been used as a major application tool in plant metabolomics such as quality control, chemotaxonomy, and analysis of genetically modified plants. Herbal medicines are the important therapeutics and are used to manage common diseases such as cold, inflammation, pain, heart diseases, liver cirrhosis, diabetes and central nerve system diseases. Herb plants include various kinds of species such as geranium, mint, and thyme and so on and contain different kinds of metabolites. We performed NMR-based metabolomics study on the seven different species of herb plants using $^1H$ NMR experiments and OPLS-DA to understand the correlation between the classification of herb plants and their metabolite contents. This study showed clear metabolic discrimination among various herb plants. This metabolmics study found several diagnostic NMR signals which are able to be used as bio-markers for identification of the specific herb plants among various species. Clear metabolic discrimination of herb plants suggests three chemotaxonomic groups of herb species.

으아리와 사위질빵 판별을 위한 PCR 기반의 마커 개발 (Development of PCR based Genetic Marker for Discrimination of Manchurian Clematis, Clematis terniflora var. mandshurica and Three-leaf clematis, Clematis apiifolia)

  • 오대주;장은비;이종두;현혜진;정용환
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2021년도 춘계학술대회
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    • pp.16-16
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    • 2021
  • To distinguish manchurian clematis, Clematis terniflora var. mandshurica and three-leaf clematis, C. apiifolia, we collected 9 nuclear ITS sequences and two sequences of trnQ-trnH intergenic spacer and trnH region in GenBank database. Those sequences were aligned to find differences between those of C. terniflora var. mandshurica and C. apiifolia. Two primer pairs were newly designed base on the differences between two species and conducted multiplex PCR. The size of amplified fragments using generated primers were 380 base pairs (only three-leaf clematis) and 189 base pairs (both species). This genetic marker based on PCR is useful to discrimination of C. terniflora var. mandshurica and C. apiifolia

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벼논에서 벼멸구(Nilaparvata lugens Stal)약충 두부의 형광성 반점에 의한 식별법 (Discrimination Method of Brown Planthopper, Nilaparvata lugens(Stal) Nymphs by the Fluorescent Spots between Compound Eyes in Rice Paddies)

  • 조성래;이동운;추호렬;박정규;신현열;김형환
    • 한국응용곤충학회지
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    • 제42권4호
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    • pp.361-365
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    • 2003
  • 우리나라의 벼논에는 벼를 기주로 하는 여러 종류의 멸구, 즉, 벼멸구, 애멸구, 흰등멸구 들이 혼재하고 있지만 이들간의 구분은 쉽지 않다. 이들의 정확한 식별은 예찰과 방제 전략에서 필수적인 과정이다. 특히, 벼멸구는 가장 중요한 벼의 해충이기 때문에 비전문가에 있어 쉽고, 신뢰성 높은 식별 방법이 요구된다. 따라서 벼논에 분포하고 있는 벼멸구의 정확한 구분을 위하여 벼멸구, 애멸구, 흰등멸구의 약충을 조사한 결과. 두 종류의 해충에 비하여 벼멸구 약충은 다른 특징을 지니고 있었다. 측, 벼멸구 약충은 겹눈 아랫부분과 촉각 사이에 흰색형광성광택을 가지고 있었지만 애멸구나 흰등멸구의 약충에는 없었다. 그리고 형광성 반점은 부화직후 가장 선명하였고, 령기가 진행될수록 약해지다가 성충이 되어서는 없어졌다. 따라서 두부의 형광성반점은 벼멸구 약충의 판별에 활용하는데 있어 혁신적인 방법이라 할 수 있을 것이다.

전자코를 이용한 검정현미의 산지판별 (Application of Electronic Nose in Discrimination of the Habitat for Black Rice)

  • 조연수;한기영;김정호;김수정;노봉수
    • 한국식품과학회지
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    • 제34권1호
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    • pp.136-139
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    • 2002
  • 검정현미에 내포한 특이한 향기성분을 토대로 수입산 또는 국내산인지의 여부를 전자코로 분석하였다. 주성분 분석 결과 전반적으로 수입산과 국내산의 판별이 뚜렷하게 구별 가능하였다. 또한 인공신경망 분석 프로그램을 이용하여 학습시켜 원산지를 모르는 시료를 분석한 결과 국내산 검정현미가 수입산인지 국내산인지를 구별할 수 있었다. E-Nose 5000을 이용한 결과는 69종의 국내산 검정현미를 국내산으로 판별한 경우가 64종으로 92.75%이었고, 13종의 수입산 검정현미를 수입산으로 판별한 경우는 11종으로 92.31%의 높을 확률로 metal oxide sensor로만 구성된 전자코의 판별정도보다 더 정확하게 구별할 수 있었다.

Molecular Variation and Distribution of Anopheles fluviatilis (Diptera: Culicidae) Complex in Iran

  • Naddaf, Saied Reza;Razavi, Mohammad Reza;Bahramali, Golnaz
    • Parasites, Hosts and Diseases
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    • 제48권3호
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    • pp.231-236
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    • 2010
  • Anopheles fluviatilis James (Oiptera: Culicidae) is one of the known malaria vectors in south and southeastern Iran. Earlier ITS2 sequences analysis of specimens from Iran demonstrated only a single genotype that was identical to species Y in India, which is also the same as species T. We identified 2 haplotypes in the An. fluviatilis populations of Iran based on differences in nucleotide sequences of D3 domain of the 28S locus of ribosomal DNA (rDNA). Comparison of sequence data from 44 Iranian specimens with those publicly available in the Genbank database showed that all of the 288-D3 sequences from Kazeroun and Khesht regions in Fars Province were identical to the database entry representing species U in India. In other regions, all the individuals showed heterozygosity at the single nucleotide position, which identifies species U and T. It is argued that the 2 species may co-occur in some regions and hybridize; however, the heterozygosity in the 288-D3 locus was not reflected in ITS2 sequences and this locus for all individuals was identical to species T. This study shows that in a newly diverged species, like members of An. fluviatilis complex, a single molecular marker may not be sufficiently discriminatory to identify all the taxa over a vast geographical area. In addition, other molecular markers may provide more reliable information for species discrimination.

근적외선분광법을 이용한 이탈리안 라이그라스, 페레니얼 라이그라스,톨 페스큐 종자의 초종 판별 (Discrimination of Pasture Spices for Italian Ryegrass, Perennial Ryegrass and Tall Fescue Using Near Infrared Spectroscopy)

  • 박형수;최기춘;김지혜;소민정;이기원;이상훈
    • 한국초지조사료학회지
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    • 제35권2호
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    • pp.125-130
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    • 2015
  • 본 연구는 근적외선분광법을 이용하여 우리나라에서 재배되고 있는 목초류 중 외형적 특성이 유사한 이탈리안 라이그라스, 페레니얼 라이그라스와 톨 페스큐 종자의 초종판별 가능성을 검토하고자 수행되었다. 근적외선분광기를 이용하여 목초류 종자를 가시파장 대역대(680~1,099 nm), NIRS 파장 대역대(1,100-2,500 nm) 및 NIRS 전체 파장 대역대(680-2,500 nm)로 구분하여 스펙트라를 얻은 후 1차 미분과 8 nm gap으로 수 처리를 수행하였으며 부분최소자승(PLS) 회귀분석법을 통해 초종판별 검량식을 개발하고 판별 정확성을 검증하였다. 목초류의 초종판별 정확성은 가시파장대역에서 SECV 1.732, $R^2cv$ 0.96으로 가장 판별 정확성이 낮았으며 NIRS 전체 파장대역에서 SECV 1.182, $R^2cv$ 0.98로 가장 높은 판별 정확성을 나타내었다. 파장대역별 예측 정확성은 NIR 파장대역(1,100-2,500 nm)에서 교차검증오차(SECV) 1.319에서 예측 오차(SEP) 1.288로 낮아졌으며 가시영역대(680~1,099)는 SECV 1.732에서 SEP 1.749로 약간 높아졌다. Discrimination equation 분석법에 의한 NIRS 전체 파장대역별 목초류 초종의 판별 결과는 초종간에 판별 정확성의 차이가 크게 나타났으며 이탈리안 라이그라스의 'Hits'는 68%로 가장 낮았으며 페레니얼 라이그라스가 78%의 정확성으로 가장 높게 나타났다. 따라서 NIRS를 이용한 목초류 초종의 판별분석이 가능할 것으로 판단되었다.

Methodology for Regional Forest Biomass Estimation Using MODIS Data

  • Yu, Xinfang;Zhuang, Dafang
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.325-327
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    • 2003
  • Forest biomass is the basis of forest ecosystem. With the rapid development of remote sensing and computer technology, forest biomass estimation using remote sensing data is paid great attention and has acquired great achievements. This article focuses on discussion of methods of forest biomass estimation methods using Terra/MODIS data in Northeast China. The research include: combining the MODIS time series parameters with seasonal characteristics of forest species to identify major forest species; establishing a model to estimate forest biomass based on forest species; analyzing the effects of the existent forest biomass and increasing biomass on terrestrial carbon cycle. This research can help to make clear the mechanism of carbon cycle.

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Identification of Meat Species Using PCR-RFLP Marker of Cytochrome b Gene

  • Shin, Sung-Chul;Chung, Ku-Young;Chung, Eui-Ryong
    • 한국축산식품학회지
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    • 제26권3호
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    • pp.375-379
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    • 2006
  • Food labeling regulations require that the meat species in various meat products are accurately declared to the consumer. Substitution or adulteration of costly meat with a cheaper one is one of the most common problems in the meat industry. In this study, PCR-restriction fragment length polymorphism(RFLP) method of the mitochondrial cytochrome b(mt cyt b) gene has been applied for identification of the origin of six mammalian meat species(beef, port horse, goat, mutton and deer) and three poultry meat species(chicken, turkey and duck) as raw materials for meat products. PCR was used to amplify a variable region of mt cyt b gene. Meat species differentiation was determined by digestion of the amplified products with a 359 bp fragment using HaeIII and HinfI restriction enzymes, which generated species-specific RFLP patterns. This PCR-RFLP DNA marker of mt cyt b gene could be very useful for the accurate and reliable identification and discrimination of animal meat species in routine analysis.