• 제목/요약/키워드: Gene Identification

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Study on Species Identification Error Caused by Comparing Feces Appearance of Felis catus and Prionailurus bengalensis in the Ecosystems

  • Lee, Yoon Jeong;Kim, Jong Hyun;Kim, Eui Kyeong
    • Journal of Forest and Environmental Science
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    • 제37권4호
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    • pp.331-337
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    • 2021
  • This study is designed according to the fact that the feces presumed to be from a Prionailurus bengalensis was found in Ulleungdo Island, where Prionailurus bengalensis is not known to inhabit, and that visual observation of the feces may cause errors in species identification. The feces observed in Ulleungdo Island on October 21, 2019 and August 29, 2020, in Gyeongju on December 4, 2020, and in Jecheon on December 7, 2020 was found intactly on grass, not buried in the ground. Although it was difficult to distinguish and identify the feces of Felis catus and Prionailurus bengalensis with visual observation, the feces collected from Ulleungdo Island was closely related to the Felis catus according to the genetic analysis whereas the ones collected from Gyeongju and Jecheon was identified from Prionailurus bengalensis. Therefore through the gene analysis, this study proved that visual observation of feces with similar appearance, specifically the feces found in Ulleungdo Island, Gyeongju, and Jecheon, may cause errors in species identification. It is judged to be necessary to analyze fields signs and genes for the species identification when using the feces of Felis catus and Prionailurus bengalensis.

Molecular identification of selected parrot eggs using a non-destructive sampling method

  • Jung-Il Kim;Jong-Won Baek;Chang-Bae Kim
    • 환경생물
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    • 제41권2호
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    • pp.145-166
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    • 2023
  • Parrots have been threatened by global trade to meet their high demand as pets. Controlling parrot trade is essential because parrots play a vital role in the ecosystem. Accurate species identification is crucial for controlling parrot trade. Parrots have been traded as eggs due to their advantages of lower mortality rates and more accessible transport than live parrots. A molecular method is required to identify parrot eggs because it is difficult to perform identification using morphological features. In this study, DNAs were obtained from 43 unidentified parrot eggs using a non-destructive sampling method. Partial cytochrome b (CYTB) gene was then successfully amplified using polymerase chain reaction (PCR) and sequenced. Sequences newly obtained in the present study were compared to those available in the GenBank by database searching. In addition, phylogenetic analysis was conducted to identify species using available sequences in GenBank along with sequences reported in previous studies. Finally, the 43 parrot eggs were successfully identified as seven species belonging to two families and seven genera. This non-destructive sampling method for obtaining DNA and molecular identification might help control the trade of parrot eggs and prevent their illegal trade.

한국 최초 인공번식에 성공한 따오기의 성별구별 (Sex Identification of the First Incubated Chicks of the Crested Ibis Nipponia nippon in Korea)

  • 김경아;차재석;김태좌;김경민;박희천
    • 생명과학회지
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    • 제21권5호
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    • pp.626-630
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    • 2011
  • 세계적 멸종위기종인 따오기(Nipponia nippon)는 2008년 10월에 중국에서 1쌍이 도입된 후 한국최초로 인공번식에 성공하였다. 본 연구는 따오기의 sex-related gene과 Chromodomain Helicase DNA Binding Protein gene (CHD gene)을 가지고 polymerase chain reaction (PCR)을 수행하여 새로 태어난 따오기 유조의 성별을 확인하고자 하였다. 본 연구에서는 따오기의 성별 확인을 위해 PCR후 제한효소의 처리 방법과 P2과 P8를 이용한 PCR 방법을 실시하였을 때 더 정확한 결과가 나타남을 알 수 있었다. 그리고 CHD gene의 염기서열을 선행연구와 비교해 본 결과, 암컷의 염기서열에서 1~2 base pairs 차이가 나타남을 알 수 있었다.

Molecular Identification of Diphyllobothrium nihonkaiense from 3 Human Cases in Heilongjiang Province with a Brief Literature Review in China

  • Zhang, Weizhe;Che, Fei;Tian, Song;Shu, Jing;Zhang, Xiaoli
    • Parasites, Hosts and Diseases
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    • 제53권6호
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    • pp.683-688
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    • 2015
  • Human diphyllobothriasis is a widespread fish-borne zoonosis caused by the infection with broad tapeworms belonging to the genus Diphyllobothrium. In mainland China, so far 20 human cases of Diphyllobothrium infections have been reported, and the etiologic species were identified as D. latum and D. nihonkaiense based on morphological characteristics or molecular analysis. In the present study, proglottids of diphyllobothriid tapeworms from 3 human cases that occurred in Heilongjiang Province, China were identified as D. nihonkaiense by sequencing mitochondrial cytochrome c oxidase subunit I (cox1) and NADH dehydrogenase subunit 5 (nad5) genes. Two different cox1 gene sequences were obtained. One sequence showed 100% homology with those from humans in Japan. The remaining cox1 gene sequence and 2 different nad5 gene sequences obtained were not described previously, and might reflect endemic genetic characterizations. D. nihonkaiense might also be a major causative species of human diphyllobothriasis in China. Meanwhile, the finding of the first pediatric case of D. nihonkaiense infection in China suggests that infants infected with D. nihonkaiense should not be ignored.

Multifactor-Dimensionality Reduction in the Presence of Missing Observations

  • Chung, Yu-Jin;Lee, Seung-Yeoun;Park, Tae-Sung
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2005년도 추계 학술발표회 논문집
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    • pp.31-36
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    • 2005
  • An identification and characterization of susceptibility genes for common complex multifactorial diseases is a challengeable task, in which the effect of single genetic variation will be likely dependent on other genetic variations(gene-gene interaction) and environmental factors (gene-environment interaction). To address is issue, the multifactor dimensionality reduction (MDR) has been proposed and implemented by Ritchie et al. (2001), Moore et al. (2002), Hahn et al.(2003) and Ritchie et al. (2003). With MDR, multilocus genotypes effectively reduce the dimension of genotype predictors from n to one, which improves the identification of polymorphism combinations associated with disease risk. However, MDR cannot handle missing observations appropriately, in which missing observation is treated as an additional genotype category. This approach may suffer from a sparseness problem since when high-order interactions are considered, an additional missing category would make the contingency table cells more sparse. We propose a new MDR approach with minimum loss of sample sizes by considering missing data over all possible multifactor classes. We evaluate the proposed MDR by using the prediction errors and cross validation consistency.

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Molecular Characterization of Nippostrongylus brasiliensis (Nematoda: Heligmosomatidae) from Mus musculus in India

  • Chaudhary, Anshu;Goswami, Urvashi;Singh, Hridaya Shanker
    • Parasites, Hosts and Diseases
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    • 제54권6호
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    • pp.743-750
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    • 2016
  • Mus musculus (Rodentia: Muridae) has generally been infected with a rodent hookworm Nippostrongylus brasiliensis. In this report, we present morphological and molecular identification of N. brasiliensis by light and scanning electron microscopy and PCR amplification of mitochondrial cytochrome c oxidase subunit 1 (cox1) gene and the protein sequences encoded by cox1 gene, respectively. Despite the use of N. brasiliensis in many biochemistry studies from India, their taxonomic identification was not fully understood, especially at the species level, and no molecular data is available in GenBank from India. Sequence analysis of cox1 gene in this study revealed that the present specimen showed close identity with the same species available in GenBank, confirming that the species is N. brasiliensis. This study represents the first record of molecular identification of N. brasiliensis from India and the protein structure to better understand the comparative phylogenetic characteristics.

Non-Invasive Sex Determination of Asiatic Black Bear (Ursus thibetanus) via Sex-Specific Amplification of the Amelogenin Gene

  • Baek-Jun Kim
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제4권4호
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    • pp.154-158
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    • 2023
  • The Asiatic black bear, Ursus thibetanus, is among the most threatened or endangered species in Asia. For its conservation and management, sex identification of U. thibetanus using non-invasive samples (e.g., hair and/or feces) is potentially valuable. In this study, a non-invasive molecular method for sex identification of U. thibetanus samples collected from various countries was first utilized, and it was based on polymerase chain reaction (PCR) amplification of the amelogenin gene via PCRs. Thirty-three bear DNA samples, extracted not only from blood (n=9) but also from hair (n=18) and feces (n=6), were used. We performed sex-specific PCR amplifications of the amelogenin gene using a primer set, SE47 and SE48. The primer set could successfully amplify a single X-specific band for females and both X- and Y-specific bands for males from all blood (100%) and hair (100%) samples. In addition, the primer set could distinguish the sex of bears in four out of a total of six fecal samples (approximately 67%). This study's findings suggest that this molecular method can be applied to sex identification of Asiatic black bears from various Asian regions using non-invasive samples, such as hair and feces.

Global Genetic Analysis

  • Elahi, Elahe;Kumm, Jochen;Ronaghi, Mostafa
    • BMB Reports
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    • 제37권1호
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    • pp.11-27
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    • 2004
  • The introduction of molecular markers in genetic analysis has revolutionized medicine. These molecular markers are genetic variations associated with a predisposition to common diseases and individual variations in drug responses. Identification and genotyping a vast number of genetic polymorphisms in large populations are increasingly important for disease gene identification, pharmacogenetics and population-based studies. Among variations being analyzed, single nucleotide polymorphisms seem to be most useful in large-scale genetic analysis. This review discusses approaches for genetic analysis, use of different markers, and emerging technologies for large-scale genetic analysis where millions of genotyping need to be performed.

유전자 알고리즘을 이용한 ARMAX 모델의 시스템 식별 (System Identification of ARMAX Model using the Genetic Algorithm)

  • 정경권;권성훈;이정훈;엄기환
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1998년도 추계종합학술대회
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    • pp.146-150
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    • 1998
  • 본 논문에서는 유전자 알고리즘을 이용하는 새로운 시스템 식별 방식을 제안한다. 제안 한 방식은 ARMAX 모델을 이용하여 비선형 시스템을 파라미터 벡터와 측정 벡터로 나누고, 파라미터 벡터를 유전자 알고리즘을 이용하여 최적의 값을 구하여 ARMAX 모델의 파라미터를 조정한다. 기존의 Narendra의 4가지 식별 모델을 대상으로 시뮬레이션하여 제안한 식별 방식의 유용성을 확인하였다.

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Identification and molecular characterization of downy mildew resistant gene candidates in maize (Zea mays subsp. Mays)

  • Kim, Jae Yoon;Kim, Chang-Ho;Kim, Kyung Hee;Lee, Byung-Moo
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.113-113
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    • 2017
  • Downy mildew (DM), caused by several species in the Peronosclerospora and Scleropthora genera, is a major maize (Zea mays L.) disease in tropical or subtropical regions. DM is an obligate parasite species in the higher plants and spreads by oospores, wind, and mycelium in seed surface, soil, and living hosts. Owing to its geographical distribution and destructive yield reduction, DM is one of the most severe maize diseases among the maize pathogens. Positional cloning in combination with phenotyping is a general approach to identify disease resistant gene candidates in plants; however, it requires several time-consuming steps including population or fine mapping. Therefore, in the present study, we suggest a new combination strategy to improve the identification of disease resistant gene candidates. Downy mildew (DM) resistant maize was selected from five cultivars using the spreader row technique. Positional cloning and bioinformatics tools identified the DM resistant QTL marker (bnlg1702) and 47 protein coding genes annotations. Eventually, 5 DM resistant gene candidates, including bZIP34, Bak1, and Ppr, were identified by quantitative RT-PCR without fine mapping of the bnlg1702 locus. Specifically, we provided DM resistant gene candidates with our new strategy, including field selection by the spreader row technique without population preparation, the DM resistance region identification by positional cloning using bioinformatics tools, and expression level profiling by quantitative RT-PCR without fine mapping. As whole genome information is available for other crops, we propose applying our novel protocol to other crops or for other diseases with suitable adjustment.

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