참진드기과(Ixodidae) 속하는 개피참진드기(Haemaphysalis flava)는 동남아시아에서 남아시아에 걸쳐 분포 하며, 다양한 질병을 매개하는 것으로 알려져 있다. 특히 중국, 일본, 한국에서 개피참진드기의 주요 매개 질병인 중증열성혈소판감소증후군(SFTS)의 감염 사례가 지속적으로 증가하는 것으로 보고되고 있다. 이 연구는 Illumina HiSeq 4000 시퀀싱을 통해 raw 데이터를 획득하고, Trinity를 기반으로 de novo assembly를 수행하여 unigene을 확보하였다. 이 결과, 총 69,822개의 unigene이 생성되었으며, 이 중 46,175개의 unigene이 PANM-DB에 annotation 되었다. 또한 KOG, GO 및 KEGG 분석을 통해 30,000개, 19,074개, 9,333개의 unigene이 annotation 되었 으며, InterProScan 결과를 통해 protein kinase, zinc finger (C2H2-type), reverse transcriptase, RNA recognition motif domain 등과 같은 세포 조절 메커니즘과 관련된 유전자가 확인되었다. RepeatMasker(v4.0.6)와 MISA(v1.0)를 사 용하여 unigene에서 SSR 마커를 확인한 결과, 총 3,480개의 SSR 마커가 확인되었으며 이 중 trinucleotide 반복이 1,907개, dinucleotide 반복이 1,274개로 확인되었다. 이러한 연구 결과는 H. flava 암컷의 유전자 및 유전자 조절 메커니즘을 이해하는데 기초 자료로서 활용 가능하며, 질병 전파 감수성에 대한 후속 연구에 유용한 정보를 제공 할 것으로 사료된다.

In insects, the glutathione S-transferase is initiated in both the detoxification process and the protection of cellular membranes against oxidative damage. In this study, we identified the open reading frame (ORF) sequence of GST-iso1 and 2 from Tenebrio molitor (TmGST-iso1 and 2). To investigate the expression patterrns of TmGST-iso1 and 2 in response to herbicide, 0.06, 0.6, and 6 ㎍/㎕ of butachlor (FarmHannong, Seoul, South Korea) was challenged into T. molitor larvae, resulting that the TmGST-iso1 were highly induced at 3 and 24 h-post injection. Whereas, the highest expression of TmGST-iso2 was detected at 24 h after treatment. This study may contribute to basic information about the detoxifying activities of T. molitor.

The major innate immune pathways in Asian longhorned ticks, Haemaphysalis longicornis, include Toll, IMD, and JAK/STAT. In the field, H. longicornis can be infected with various pathogens including Severe Fever with Thrombocytopenia Syndrome Virus (SFTS virus), Rickettsia, Babesia and Anaplasma species. One approach to identify whether ticks are infected with pathogens is by examining the expression levels of immune response genes. To evaluate whether upregulation of immune genes from H. longicornis can serve as an indicator for pathogen infection in ticks, we first designed primer sets for Dorsal, STAT, and Relish from the H. longicornis genome. We then conducted quantitative reverse transcription PCR(qRT-PCR) on cDNA of field-collected H. longicornis and identified individuals with high expression levels in immune response genes. Subsequently, we performed digital PCR assays to determine whether selected ticks were infected with SFTS virus. Using this approach, we evaluated correlation between pathogen infection and upregulation of immune response genes in ticks. Although more experiments are needed to draw conclusions, this study suggests immune response gene-based screening methods for pathogen infected ticks from the field.

This study focuses on developing diagnostic compositions, kits, and information provision methods for identifying species-specific genes in domestically residing Reticulitermes speratus and Reticulitermes kanmonensis, as well as the recently introduced Cryptotermes domesticus. The core innovation of this invention lies in the utilization of species-specific genetic markers to facilitate rapid and accurate species identification using a PCR (polymerase chain reaction)-based diagnostic technique. This approach enables swift identification of termites at quarantine stages, contributing to efficient management of imported goods and minimizing ecological and economic damages caused by termites. Through genome analysis of termites, this research has identified candidate species-specific genetic markers, developed diagnostic compositions and kits based on these markers, and proposed a rapid diagnostic method capable of determining termite species within a day, optimally within three hours. This invention provides a groundbreaking tool for termite management and research, significantly contributing to pest control and biodiversity conservation efforts.

The recent increase in the occurrence of common bed bug and tropical bed bug in shared areas highlights the need for rapid species identification at infestation sites, which is crucial for implementing targeted control measures due to differences in genetic and physiological traits. In this study, molecular diagnostic methods were developed using species-specific ITS2 sequences. Both multiplex PCR and loop-mediated isothermal amplification (LAMP) protocols with a DNA release method successfully distinguished between the two bed bug species regardless of developmental stages in 0.5~2.5 hours, even with dead specimens. Especially, LAMP's simplicity and speed make it applicable for rapid and accurate bed bug diagnosis at infestation sites.

본 연구는 검거세미밤나방(Agrotis ipsilon) 성페로몬 트랩에 혼재하여 유살되는 은무늬밤나방아과 형태적 분류와 동정법 수립을 위해, 날개 무늬의 형태계측학 분석을 실시하였다. 은무늬밤나방아과 개체는 2023년 11월 부터 12월까지 제주도 애월읍 일대에서 채집되었으며, 콩 해충으로 알려진 콩은무늬밤나방(Ctenoplusia agnata) 을 비롯하여, 다양한 농작물을 가해하는 것으로 알려진 붉은금무늬밤나방(Chrysodeixis eriosoma)의 수컷 성충이 포획되었다. 앞날개의 형태 및 무늬를 가지고 현장에서 쉽게 동정할 수 있는 형태적 특징을 도출하기 위하여, 각 성충 개체의 앞날개를 잘라 현미경 카메라로 촬영하고, 앞날개의 내횡선, 아외연선, 반점 크기 등 15개의 형질 을 측정하였다. 또한 각 형질 간의 상관관계를 분석하였으며 빈도분포를 통하여 두 종간 분리되는 형질을 파악하 였다. 최종적으로 다변량 분석법을 적용하여 두 집단이 어떻게 군집을 이루는지 분석하고, 날개형태만으로 붉은 금무늬밤나방과 콩은무늬밤나방을 구분할 수 있는 방안을 제시하였다.

Spodoptera eridania and S. ornithogalli (Lepidoptera: Noctuidae), which are polyphagous pests that damage various crops such as tomatoes and beans are regulated quarantine species that are highly likely to invade South Korea. Therefore, it is crucial to promptly and accurately identify the presence of S. eridania and S. ornithogalli in crop fields to effectively eradicate as a regulated quarantine species. In this study, we developed a loop-mediated isothermal amplification (LAMP) assay, which allows for rapid in-field identification. To develop the LAMP　assay, we selected target species-specific genomic regions from the whole-genome sequences of one target and 13 other lepidopteran species. We validated each five and six primer sets that consistently produced positive reactions in S. eridania and S. ornithogalli, respectively. To test the sensitivity of the each locus, LAMP reactions were performed using various reaction times using crude DNA, which was extracted from various types of adult tissues. All sensitivity tests were also successful.

Recent advances in artificial intelligence and machine learning, such as the use of convolutional neural networks (CNNs) for image recognition, have emerged as a promising modality with the capability to visually differentiate between mosquito species. Here we present the first performance metrics of IDX, Vectech’s system for AI mosquito identification, as part of Maryland’s mosquito control program in the USA. Specimens were collected over fourteen weeks from twelve CDC gravid trap collection sites, identified morphologically by an entomologist, and imaged using the IDX system. By comparing entomologist identification to the algorithm output by IDX, we are able to calculate the accuracy of the system across species. Over the study period, 2,591 specimens were collected and imaged representing 14 species, 10 of which were available in the identification algorithm on the device during the study period. The micro average accuracy was 94.9%. Of these 10 species, 7 species consisted of less than 30 samples. The macro average accuracy when including these species was 79%, while the macro average when excluding these species was 93%. In the next iteration of this technology, Vectech is translating the vector identification capabilities of IDX into systems capable of processing greater numbers of specimens at large public health facilities, and remote sensing systems that will allow public health organizations to monitor vector abundance and diversity from the office. These advances demonstrate the utility of artificial intelligence in entomology and its potential to support vector surveillance and control programs around the world.

자율주행차량을 상용화하기 위한 노력이 계속되고 있으며, 완전 자율주행 교통 환경이 조성되기 전까지 자율주행차량과 일반 차량 이 혼재된 혼합교통류가 형성될 것이라 예상된다. 이러한 혼합교통류에서 자율주행차량과 일반 차량은 주행 행태가 다르므로 기존에 는 발생하지 않았던 사고 위험상황을 유발할 수 있으며, 따라서 자율주행차량의 도입에 따른 사고 위험상황을 사전에 파악하고 이에 대한 안전관리 전략을 마련할 필요가 있다. 이러한 안전관리 전략 수립의 첫 단계로 자율주행차량 도입 시 자율주행차량이 사고위험 상황에 처할 수 있는 취약 구간과 취약 상황을 정의해야 한다. 기존 연구의 경우 자율주행 취약 구간 및 취약 상황 정의를 위해 전문 가 설문 조사 방법을 사용하였으며, 자율주행차량 데이터 구득에 어려움이 있어 주로 시뮬레이션 분석을 진행하였다. 본 연구에서는 더 실질적이고 구체적인 자율주행 취약 구간과 취약 상황을 정의하기 위해 두 가지 출처의 데이터를 활용하였으며, 다양한 방법론을 적용하여 과학적이고 다각적인 분석 결과를 도출하였다. 세종시 자율주행 실증구간에서 수집할 수 있는 자율주행차량 주행 궤적 데이 터를 활용해서는 사고위험 판단 안전 지표를 기준으로 사고 취약 구간 및 상황을 정의하였으며, 캘리포니아 DMV 자율주행차량 사고 데이터를 활용해서 연관규칙 기법과 토픽 모델링을 적용해 자율주행 사고에 영향을 미친 주요 요인들과 요인들 간의 연관성을 분석하 였다. 최종적으로는 세종시 자율주행차량 데이터 분석 결과와 캘리포니아 DMV 사고보고서 결과를 종합하여 종합적인 자율주행 취약 구간 및 상황을 정의하였다. 향후 본 연구에서 정의한 자율주행 취약 구간과 취약 상황 및 본 연구의 방법론을 활용하여 미래 교통 시스템의 안전 관리 전략을 마련할 수 있으며, 도로 운영자와 관리자의 의사결정을 도울 수 있을 것으로 기대한다.

Radish is an important root vegetable in the world, and many cultivars have been developed with various molecular marker systems to identify these cultivars. Recently developed markers for radish cultivar identification require only 11 primer pairs, but they still use conventional PCR with different annealing temperatures and time-consuming gel electrophoresis. To improve the genotyping method, we applied touchdown PCR with 11 primers with M13 tails among 105 radish cultivars. Touchdown PCR successfully generated amplicons in all 11 M13-tailed primers with a condition of annealing temperature starting from 55℃, decreased by 1°C and 33 cycles at 53°C. The 11 M13-tailed primers followed by fragment analysis produced 71 amplicons, which produced more amplicons than gel electrophoresis that produced 23 amplicons. Especially, simple sequence repeats produced more amplicons, 12 on average, than the other marker types. The present study requires less effort and provides more accurate results compared to genotyping using gel electrophoresis. Besides, a database can be established using digitized genotyping results among radish cultivars.

Reported positive ion fragmentation of phenolic acid derivatives in rice (Oryza sativa L.) were summarized based on the literature. A total of eight phenolic acids (4 derivatives of ferulic acid, 3 derivatives of sinapic acid and p-coumaric acid) were isolated and identified from rice (raw and steamed) using UPLC-DAD-QToF/MS. Results revealed that 6-O-feruloylsurose was the major component with 3'-O-sinapoylsucorse being tentatively identified in Oryza sativa L. for the first time as a new hydroxycinnamoyl derivative in rice grains. In our study, raw brown rice had the highest phenolic acid contents with Samkwang showing higher phenolic acid content than Saeilmi and Sindongjin (12.41 vs. 7.89 and 3.10 mg/100 g dry weight, respectively). Of all varieties, brown rice had higher phenolic acid contents than white rice. These contents decreased considerably when rice was steamed whereas, p-coumaric acid and ferulic acid contents were increased. Additionally, contents of rice (raw and steamed) can be used as a fundamental report for new rice varieties.

Species distribution model (SDM) is used to preserve biodiversity and climate change impact. To evaluate biodiversity, various studies are being conducted to utilize and apply SDM. However, there is insufficient research to provide useful information by identifying the current status and recent trends of SDM research and discussing implications for future research. This study analyzed the trends and flow of academic papers, in the use of SDM, published in academic journals in South Korea and provides basic information that can be used for related research in the future. The current state and trends of SDM research were presented using philological methods and text-mining. The papers on SDM have been published 148 times between 1998 and 2023 with 115 (77.7%) papers published since 2015. MaxEnt model was the most widely used, and plant was the main target species. Most of the publications were related to species distribution and evaluation, and climate change. In text mining, the term ‘Climate change’ emerged as the most frequent keyword and most studies seem to consider biodiversity changes caused by climate change as a topic. In the future, the use of SDM requires several considerations such as selecting the models that are most suitable for various conditions, ensemble models, development of quantitative input variables, and improving the collection system of field survey data. Promoting these methods could help SDM serve as valuable scientific tools for addressing national policy issues like biodiversity conservation and climate change.

엽상자어(Leptocephalus)는 뱀장어목(Anguiliformes)에 속하는 어류의 자어로 5~6월에 우리나라 남해안 일대의 정치망에서 멸치와 함께 어획 후 방류하지만 대부분 폐사하는 실정이다. 따라 서 본 연구의 목적은 멸치어업을 하는 정치망에서 무분별하게 포획되는 엽상자어의 종을 구명 하여 수산자원보호 및 이들 자치어 생태 연구를 위한 기초 생물학적 자료를 제시하고자 수행 하였다. 실험에 사용된 엽상자어는 5~6월에 남해의 정치망에서 채집하였으며, 외부형태와 유 전학적 특성을 붕장어(Conger myriaster), 갯장어(Muraenesox cinereus) 및 뱀장어속(Anguilla) 4종의 성어와 비교하였다. 유전학적 분석은 추출한 DNA를 12s rRNA, 16s rRNA 부분단편을 PCR로 증폭하여 염기배열을 분석한 후 분자계통수를 작성하여 장어류 유생이 붕장어, 갯장어 및 뱀장어속 4종 중 어느 쪽의 성체와 클러스터 그룹화를 이루는지 계통학적 유연관계를 확 인하였다. 엽상자어의 외부형태 계수 및 계측결과 엽상자어의 전장에 대한 머리길이의 백분비 와 뒷지느러미 기점거리의 백분비는 붕장어와 가장 유사한 비율을 보였고, 척추골수 역시 붕 장어와 가장 유사하였다. 또한 엽상자어의 유전자 분석결과는 모두 붕장어 성체와 클러스터 그룹화를 이루는 것을 확인함으로서 남해안에서 5~6월에 어획되는 엽상자어는 모두 붕장어의 자어임을 할 수 있었다.

본 연구는 화재, 구조, 구급 등 재난 대응 최일선에서 근무하는 119상황관리사의 직무 역량이 무엇인지 도출하고 델파이 연구로 타당성을 검증하여 해당 직무의 전문성 향상을 위해 발전된 교육훈련 기초자료 를 마련하고자 수행되었다. 이에 국내외 선행연구 및 직무매뉴얼을 분석하여 119상황관리사 직무역량 후 보군을 구성한 후 초점집단면접을 통해 직무역량 개발에 대한 의견을 수렴하는 과정을 거쳐 119상황관리 사 직무역량의 정의를 규명하였다. 마지막으로 2차에 걸친 전문가 패널을 대상으로 델파이조사를 실시하 여 검증한 후 타당성을 확보하였다. 이러한 연구결과 분석을 통해 다음과 같은 결론이 도출되었다. 첫째, 최종 확정된 119상황관리사 직무역량은 8개의 책무영역과 70개의 직무역량으로 구성되었다. 특히 119상 황관리사 직무역량에서 화재, 구급, 구조신고 상황관리 역량이 가장 큰 부분을 차지하는 것으로 나타났다. 둘째, 119상황실에 따라 제대로 다루지 못한 스트레스 관리 역량이나 중요한 공통 직무역량의 구체적 내 용을 도출하였다. 셋째, 119상황관리사의 실제 현장 경험이 풍부한 전문가 패널들로부터 현업에 기반을 둔 직무 역량으로 타당성을 확보하였다. 이를 기반으로 119상황실의 지역에 따른 편차를 줄이고, 직무 수 행 수준 향상을 위한 교육과 훈련의 기초자료로 활용될 수 있다는 점에서 몇 가지 시사점을 제안하였다.

This study investigated species identification and labeling compliance of 48 shrimp products sold in the Korean online markets. Species identification was conducted using the standard DNA barcoding method, using the cytochrome c oxidase subunit I gene. The obtained sequences were compared with those deposited in the NCBI GenBank and BOLD Systems databases. Additionally, phylogenetic analysis was performed to further verify the identified shrimp species. Consequently, 16 shrimp species were identified, including Penaeus vannamei, Pandalus borealis, Palaemon gravieri, Leptochela gracilis, Penaeus monodon, Pleoticus muelleri, Metapenaeopsis dalei, Euphausia pacifica, Lebbeus groenlandicus, Trachypenaeus curvirostris, Argis lar, Metanephrops thomsoni, Metapenaeopsis barbata, Alpheus japonicus, Penaeus chinensis, and Mierspenaeopsis hardwickii. The most prevalent species was Penaeus vannamei, found in 45.8% of the analyzed products. A significant mislabeling rate of 72.9% was found; however, upon excluding generic names such as shrimp, the mislabeling rate reduced to 10.4%. The mislabeling rate was higher in highly-processed products (89.3%) compared with that in minimally-processed products (50%). No correlation was found between the country of origin and mislabeling rate. The results of this study provide crucial data for future monitoring of shrimp products and improving the labeling of shrimp species in Korea.

In this study, based on an analysis of two DNA barcode markers (cytochrome c oxidase subunit I and cytochrome b genes), we performed species identification and monitored labeling compliance for 50 commercial pufferfish products sold in on-line markets in Korea. Using these barcode sequences as a query for species identification and phylogenetic analysis, we screened the GenBank database. A total of seven pufferfish species (Takifugu chinensis, T. pseudommus, T. xanthopterus, T. alboplumbeus, T. porphyreus, T. vermicularis, and Lagocephalus cheesemanii) were identified and we detected 35 products (70%) that were non-compliant with the corresponding label information. Moreover, the labels on 12 commercial products contained only the general common name (i.e., pufferfish), although not the scientific or Korean names for the 21 edible pufferfish species. Furthermore, the proportion of mislabeled highly processed products (n = 9, 81.8%) was higher than that of simply processed products (n = 26, 66.7%). With respect to the country of origin, the percentage of mislabeled Chinese products (n = 8, 80%) was higher than that of Korean products (n = 26, 66.7%). In addition, the market and dialect names of different pufferfish species were labeled only as Jolbok or Milbok, whereas two non-edible pufferfish species (T. vermicularis and T. pseudommus) were used in six commercial pufferfish products described as JolboK and Gumbok on their labels, which could be attributable to the complex classification system used for pufferfish. These monitoring results highlight the necessity to develop genetic methods that can be used to identify the 21 edible pufferfish species, as well as the need for regulatory monitoring of commercial pufferfish products.