• Journal of Microbiology and Biotechnology
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• 제25권9호
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• pp.1537-1541
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• 2015

Previous detection methods for Citrobacter are considered time consuming and laborious. In this study, we have developed a rapid and accurate detection method for Citrobacter species in pork products, using matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS). A total of 35 Citrobacter strains were isolated from 30 pork products and identified by both MALDI-TOF MS and 16S rRNA gene sequencing approaches. All isolates were identified to the species level by the MALDI-TOF MS, while 16S rRNA gene sequencing results could not discriminate them clearly. These results confirmed that MALDITOF MS is a more accurate and rapid detection method for the identification of Citrobacter species.

• 대한수의학회지
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• 제52권2호
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• pp.75-82
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• 2012

We have developed and optimized a multiplex polymerase chain reaction (mPCR) for simultaneous detection of Brucella, Salmonella and Leptospira with high sensitivity and specificity. Three pairs of oligonucleotide primers were designed to specifically amplify the targeted genes of Salmonella, Leptospira and Brucella species with sizes of 521, 408 and 223 bp, respectively. The mPCR did not produce any nonspecific amplification products when tested against 15 related species of bacteria. The sensitivity of the mPCR was 100 fg for Brucella and 1 pg for both Salmonella and Leptospira species. In the field application, kidney, liver and spleen were collected from wild rats and stray cats and examined by mPCR. The high specificity and sensitivity of this mPCR assay provide a valuable tool for diagnosis and for the simultaneous and rapid detection of three zoonotic bacteria that cause disease in both humans and animals. Therefore, this assay could be a useful alternative to the conventional method of culture and single PCR for the detection of each pathogen.

• Journal of Microbiology and Biotechnology
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• 제34권2호
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• pp.349-357
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• 2024

Foodborne pathogens, like Listeria monocytogenes, continue to inflict substantial financial losses on the food industry. Various methods for detecting Listeria in food have been developed and numerous studies have been conducted to compare the different methods. But, in recent years, new Listeria species have been identified, and currently the genus comprises 26 species. Therefore, it would be a more accurate approach to re-evaluate existing detection methods by considering new species. The present investigation involved the analysis of 42 ready-to-eat (RTE) foods, encompassing a variety of food categories, such as mezes, salads, dairy products, and meat products, with the aim of ascertaining the presence of Listeria. Among the traditional culture-dependent reference methods, the ISO 11290 method was preferred. The process of strain identification was conducted with the API Identification System. Furthermore, to ascertain the existence of L. monocytogenes and Listeria spp., the samples underwent additional analysis employing the VIDAS Immunoassay System, ELISA, and RT-PCR methodologies. Thus, four alternative approaches were employed in this study to compare not only the different methods used to determine Listeria while taking into account the newly identified Listeria species, but also to assess the compliance of retail RTE food items with microbiological criteria pertaining to the genus Listeria. Based on the conducted analyses, L. monocytogenes was conclusively determined to be present in one sample. The presence of Listeria spp. was detected in 30.9% of the samples, specifically in Turkish cig kofte, sliced salami, and salads.

• 한국균학회소식:학술대회논문집
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• 한국균학회 2015년도 추계학술대회 및 정기총회
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• pp.41-41
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• 2015

Oomycetes belong to the kingdom Straminipila, a remarkably diverse group which includes brown algae and planktonic diatoms, although they have previously been classified under the kingdom Fungi. These organisms have evolved both saprophytic and pathogenic lifestyles, and more than 60% of the known species are pathogens on plants, the majority of which are classified into the order Peronosporales (includes downy mildews, Phytophthora, and Pythium). Recent phylogenetic investigations based on DNA sequences have revealed that the diversity of oomycetes has been largely underestimated. Although morphology is the most valuable criterion for their identification and diversity, morphological species identification is time-consuming and in some groups very difficult, especially for non-taxonomists. DNA barcoding is a fast and reliable tool for identification of species, enabling us to unravel the diversity and distribution of oomycetes. Accurate species determination of plant pathogens is a prerequisite for their control and quarantine, and further for assessing their potential threat to crops. The mitochondrial cox2 gene has been widely used for identification, taxonomy and phylogeny of various oomycete groups. However, recently the cox1 gene was proposed as a DNA barcode marker instead, together with ITS rDNA. To determine which out of cox1 or cox2 is best suited as universal oomycete barcode, we compared these two genes in terms of (1) PCR efficiency for 31 representative genera, as well as for historic herbarium specimens, and (2) in terms of sequence polymorphism, intra- and interspecific divergence. The primer sets for cox2 successfully amplified all oomycete genera tested, while cox1 failed to amplify three genera. In addition, cox2 exhibited higher PCR efficiency for historic herbarium specimens, providing easier access to barcoding type material. In addition, cox2 yielded higher species identification success, with higher interspecific and lower intraspecific divergences than cox1. Therefore, cox2 is suggested as a partner DNA barcode along with ITS rDNA instead of cox1. Including the two barcoding markers, ITS rDNA and cox2 mtDNA, the multi-locus phylogenetic analyses were performed to resolve two complex clades, Bremia lactucae (lettuce downy mildew) and Peronospora effuse (spinach downy mildew) at the species level and to infer evolutionary relationships within them. The approaches discriminated all currently accepted species and revealed several previously unrecognized lineages, which are specific to a host genus or species. The sequence polymorphisms were useful to develop a real-time quantitative PCR (qPCR) assay for detection of airborne inoculum of B. lactucae and P. effusa. Specificity tests revealed that the qPCR assay is specific for detection of each species. This assay is sensitive, enabling detection of very low levels of inoculum that may be present in the field. Early detection of the pathogen, coupled with knowledge of other factors that favor downy mildew outbreaks, may enable disease forecasting for judicious timing of fungicide applications.

• The Plant Pathology Journal
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• 제34권6호
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• pp.490-498
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• 2018

Panicle blight and seed rot disease caused mainly by Burkholderia glumae and Burkholderia gladioli is threatening rice cultivation worldwide. The bacteria have been reported as seed-borne pathogens from rice. Accurate detection of both pathogens on the seeds is very important for limiting the disease dissemination. Novel primer pairs targeting specific molecular markers were developed for the robust detection of B. glumae and B. gladioli. The designed primers were specific in detecting the target species with no apparent cross-reactions with other related Burkholderia species at the expected product size. Both primer pairs displayed a high degree of sensitivity for detection of B. glumae and B. gladioli separately in monoplex PCR or simultaneously in duplex PCR from both extracted gDNA and directly preheated bacterial cell suspensions. Limit of detection was as low as 0.1 ng of gDNA of both species and $3.86{\times}10^2cells$ for B. glumae and $5.85{\times}10^2cells$ for B. gladioli. On inoculated rice seeds, the designed primers could separately or simultaneously detect B. glumae and B. gladioli with a detection limit as low as $1.86{\times}10^3cells$ per rice seed for B. glumae and $1.04{\times}10^4cells$ per rice seed of B. gladioli. The novel primers maybe valuable as a more sensitive, specific, and robust tool for the efficient simultaneous detection of B. glumae and B. gladioli on rice seeds, which is important in combating rice panicle blight and seed rot by early detection and confirmation of the dissemination of pathogen-free rice seeds.

• 환경영향평가
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• 제32권2호
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• pp.94-111
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• 2023

효과적인 외래생물 관리 전략 수립을 위해서는 도입 및 확산 여부 평가를 위한 정기 모니터링이 요구된다. 환경 DNA (eDNA, environmental DNA) 메타바코딩은 높은 검출 민감도를 가지고 다수의 종을 동시에 검출할 수 있어 외래생물의 출현 여부와 그 영향을 평가하는데 활발히 활용되고 있다. 국내에서는 어류를 중심으로 메타바코딩의 적용 가능성 평가가 이루어지고 있으며 타 분류군에 대한 연구는 부족한 실정이다. 따라서 본 연구에서는 환경 DNA 메타바코딩을 활용한 국내 외래생물 탐지 가능성을 확인하고자 했다. 분류군별 검출 가능성을 확인하기 위해 어류, 포유류, 조류, 양서류를 목표로 디자인 된 4가지 범용 프라이머(MiFish, MiMammal, Mibird, Amp16S)를 활용하여 대상종 검출 여부를 평가하였다. 그 결과, 총 55개 지점 중 17개 지점(Trachemys scripta, 3개 지점; Cervus nippon, 3개 지점; Micropterus salmoides, 7개 지점; Rana catesbeiana, 4개 지점)에서 대상종의 서식이 확인되었다. 대상지 내 조밀한 지점 선정에도 생태적 특성을 반영한 검출 지점에 차이가 나타났다. 큰입배스와 붉은귀거북을 중심으로 외래생물이 출현이 생물 군집구조(종 풍부도, 풍부도, 다양도)에 미치는 영향을 비교한 결과, 외래생물이 서식하는 지점에서의 다양도가 더 높게 나타났다. 또한 외래생물 출현 지점에서 출현 종 수가 1~4종 추가 검출되었으며 풍부도 또한 1.7배 높게 나타났다. 메타바코딩을 통한 외래생물 검출 결과 및 군집구조 비교는 eDNA를 통한 다량의 모니터링 데이터 구축이 다차원적 생태계 평가에 효율적으로 활용될 수 있음을 나타냈다. 또한 환경의 인위적, 자연적 변화에 따른 생물상 변화를 관찰하고 자연생태 분야의 환경영향평가 등 현황 평가 및 예측을 위한 주요한 기초자료로 활용 가능성을 제시하였다.

• International Journal of Oral Biology
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• 제36권1호
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• pp.1-6
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• 2011

The purpose of this study was to develop species-specific real-time quantitative PCR (RT-qPCR) primers for use in the detection of Aggregatibacter actinomycetemcomitans. These primers were designed based on the nucleotide sequences of the RNA polymerase ${\beta}$-subunit gene (rpoB). We assessed the specificity of the primers against nine strains of A. actinomycetemcomitans, eight strains (three species) of the Haemophilus genus, and 40 strains of 40 other oral bacterial species. Primer sensitivity was determined by testing serial dilutions of the purified genomic DNAs of A. actinomycetemcomitans ATCC $33384^T$. Our data reveal that we had obtained species-specific amplicons for all of the tested A. actinomycetemcomitans strains, and that none of these amplicons occurred in any of the other species. Our PCR protocol proved able to detect as little as 2 fg of A. actinomycetemcomitans chromosomal DNA. Our findings suggest that these qRT-PCR primers are suitable for application in epidemiological studies.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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• pp.87-87
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• 2013

The interface between nanomaterials and biosystems is emerging as one of the broadest and most dynamic areas of science and technology, bringing together biology, chemistry, physics and many areas of engineering, biomedicine. The combination of these diverse areas of research promised to yield revolutionary advances in healthcare, medicine, and life science. For example, the creation of new and powerful nanosensors that enable direct, sensitive, and rapid analysis of biological and chemical species can advance the diagnosis and treatment of disease, discovery and screening of new drug molecules. Nanowire based sensors are emerging as a powerful and general platform for ultrasensitive and multiplex detection of biological and chemical species. Here, we present the studies about noble metal nanowire sensors that can be used for sensitive detection of a wide-range of biological and chemical species including nucleic acids, proteins, and toxic metal ions. Moreover, the optical and electrochemical applications of noble metal nanowires are introduced. Noble metal nanowires are successfully used as plasmonic antennas and nanoelectrodes, thereby provide a pathway for a single molecule sensor, in vivo neural recording, and molecular injection and detection in a single living cell.

• Journal of information and communication convergence engineering
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• 제18권4호
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• pp.267-277
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• 2020

It is important to understand the exact habitat distribution of endangered species because of their decreasing numbers. In this study, we build a system with a deep learning module that collects the image data of endangered animals, processes the data, and saves the data automatically. The system provides a more efficient way than human effort for classifying images and addresses two problems faced in previous studies. First, specious answers were suggested in those studies because the probability distributions of answer candidates were calculated even if the actual answer did not exist within the group. Second, when there were more than two entities in an image, only a single entity was focused on. We applied an object detection algorithm (YOLO) to resolve these problems. Our system has an average precision of 86.79%, a mean recall rate of 93.23%, and a processing speed of 13 frames per second.

• 한국균학회지
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• 제44권2호
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• pp.103-107
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• 2016

본 연구는 국내 주요 식물검역관리 대상 Phytophthora pinifolia를 대상으로 신속하고 정확한 병원균 종동정 및 검출을 위해 Ypt1 유전자 염기서열을 활용하여 제작된 종 특이적 분석용 분자마커와 다양한 PCR 기법을 활용하여 병원균들에 대한 다양한 검출기술의 표준화 및 최적 검출 시스템 구축을 통하여 실제 검역검역 현장에서 활용 가능한 병원균 존재여부의 신속, 정확한 판별기법을 개발하고자 수행하였다. Ypt1 영역의 염기서열을 기초로 선발된 종 특이적 primer는 1~10 pg의 검출민감도를 가지며 193 bp의 종 특이적 PCR 증폭산물을 형성시켰다. 또한 선발된 종 특이적 primer의 종 특이성을 확인하기 위하여 국내 식물검역대상에 포함된 Phytophthora속 종들과 주요 식물병원균들을 대상으로 conventional PCR과 real-time PCR을 수행한 결과 목표로 한 P. pinifolia DNA에서만 특이적 PCR 증폭산물을 확인할 수 있었다. 선발된 종 특이적 primer에 대한 PCR의 검출 민감도를 확인했을 때 conventional PCR의 검출민감도는 1~10 pg이었다.