• Title/Summary/Keyword: Insect Identification

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A Similarity-based Inference System for Identifying Insects in the Ubiquitous Environments (유비쿼터스 환경에서의 유사도 기반 곤충 종 추론검색시스템)

  • Jun, Eung-Sup;Chang, Yong-Sik;Kwon, Young-Dae;Kim, Yong-Nam
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.3
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    • pp.175-187
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    • 2011
  • Since insects play important roles in existence of plants and other animals in the natural environment, they are considered as necessary biological resources from the perspectives of those biodiversity conservation and national utilization strategy. For the conservation and utilization of insect species, an observational learning environment is needed for non-experts such as citizens and students to take interest in insects in the natural ecosystem. The insect identification is a main factor for the observational learning. A current time-consuming search method by insect classification is inefficient because it needs much time for the non-experts who lack insect knowledge to identify insect species. To solve this problem, we proposed an smart phone-based insect identification inference system that helps the non-experts identify insect species from observational characteristics in the natural environment. This system is based on the similarity between the observational information by an observer and the biological insect characteristics. For this system, we classified the observational characteristics of insects into 27 elements according to order, family, and species, and proposed similarity indexes to search similar insects. In addition, we developed an insect identification inference prototype system to show this study's viability and performed comparison experimentation between our system and a general insect classification search method. As the results, we showed that our system is more effective in identifying insect species and it can be more efficient in search time.

A Simple PCR-RFLP for Idenficiation of Bursaphelenchus spp. Collected from Korea

  • Han, Hye-Rim;Han, Bo-Young;Chung, Yeong-Jin;Shin, Sang-Chul
    • The Plant Pathology Journal
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    • v.24 no.2
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    • pp.159-163
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    • 2008
  • Accurate identification of pine wood nematode, Bursaphelenchus xylophilus is a prerequisite to diagnose the pine wilt disease. However, a fungivorous nematode, B. mucronatus is highly similar to B. xylophilus and it is difficult to differentiate these two species by morphological features. A molecular diagnosis method, ITSRFLP was applied for the identification of B. xylophilus and B. mucronatus from Korea. Genomic DNA was extracted from a single individual nematode and ITS DNA was amplified by PCR. The size of PCR product was approximately 900bp and the sequence data were obtained after cloning. Amplified ITS was digested by 5 different restriction enzymes (Rsa I, Hae III, Msp I, Hinf I, and Alu I) and provided a discriminatory profile for B. xylophilus and B. mucronatus. Besides, B. mucro- natus was determined to have 2 different genotypes, East Asian type and European type also clearly separated by Rsa I and Hae III digestion. European type of B. mucronatus is recently collected from Pinus koraiensis and has not been reported before. ITS sequnce data were analyzed by Restriction Mapper program and the result supported ITS-RFLP pattern. These data indicated that PCRRFLP method is an accurate and simple way for identification of Bursaphelenchus species.

Isolation and Identification of a Symbiotic Bacterium from Steinernema carpocapsae

  • Park, Sun-Ho;Yu, Yeon-Su
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.4 no.1
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    • pp.12-16
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    • 1999
  • Xenorhabdus nematophilus sp., an insect-pathogenic bacterium, was newly isolated from Korean entomopathogenic nematode of Steinernema carpocapsae, which can be used as a useful bioinsecticide. Primary and secondary form variants of Xenorhabdus nematophilus were observed when cultured in vitro. Primary form variants adsorbed bromothymol blue, while secondary form did not. However, many other characters of two variants were very similar. The variants were all rod-shaped and cell size was highly variable ranging from 0.5 by 2.0 ${\mu}$m to 1.0 by 5.0 ${\mu}$m. Both produced highly toxic substances and killed the insect larva within 20∼38 hr, indicating that insect pathogenicity of Xenorhabdus is not directly associated with its phase variation. In addition, cell-free culture supernatant of Xenorhabdus was sufficient to kill the insect larva by injecting it ito insect hemolymph; however, cell-harboring culture broth was more effective for killing the insect. The use of Xenorhabdus nematophilus may provide a potential alternative to Bacillus thuringiensis (Bt) toxins.

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Scale Insects (Stenorrhyncha) Occurred on Fruit Trees in Korea (국내 과수에 발생하는 깍지벌레(진딧물아목)의 종류)

  • 권기면;한만종
    • Korean journal of applied entomology
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    • v.42 no.4
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    • pp.279-288
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    • 2003
  • A total of 29 scale insect species belonging to 21 genera of five families were recognized on 11 fruit trees on the basis of specimens collected from 2001 to 2002 and specimens deposited in the Insect Collection of NIAST in Korea. Ten species were recognized on apple, nine species on pear, three species on peach, 14 species on unshiu orange, nine species on persimmon, two species on Japanese plum, one species on japanese apricot, 10 species on junos orange, one species on grape, four species on jujube and three species on kiwi fruit.

First Report of Rhytisma sp. Associated with Tar Spots on Ilex cornuta

  • Jung, Bok-Nam;Park, Ji-Hyun;Lee, Sang-Hyun;Shin, Hyeon-Dong
    • The Korean Journal of Mycology
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    • v.48 no.1
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    • pp.63-67
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    • 2020
  • Tar spots have been observed on Ilex cornuta in Korea since 2015. Based on morphological and molecular analyses, the fungus responsible was determined to be a Rhytisma species, with characteristics similar to R. ilicis-latifoliae observed on Ilex latifolia from Japan. Herein, we document the first report of Rhytisma sp. on I. cornuta.

A Novel Protein Elicitor PeBL2, from Brevibacillus laterosporus A60, Induces Systemic Resistance against Botrytis cinerea in Tobacco Plant

  • Jatoi, Ghulam Hussain;Lihua, Guo;Xiufen, Yang;Gadhi, Muswar Ali;Keerio, Azhar Uddin;Abdulle, Yusuf Ali;Qiu, Dewen
    • The Plant Pathology Journal
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    • v.35 no.3
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    • pp.208-218
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    • 2019
  • Here, we reported a novel secreted protein elicitor PeBL2 from Brevibacillus laterosporus A60, which can induce hypersensitive response in tobacco (Nicotiana benthamiana). The ion-exchange chromatography, high-performance liquid chromatography (HPLC) and mass spectrometry were performed for identification of protein elicitor. The 471 bp PeBL2 gene produces a 17.22 kDa protein with 156 amino acids containing an 84-residue signal peptide. Consistent with endogenous protein, the recombinant protein expressed in Escherichia coli induced the typical hypersensitive response (HR) and necrosis in tobacco leaves. Additionally, PeBL2 also triggered early defensive response of generation of reactive oxygen species ($H_2O_2$ and $O_2{^-}$) and systemic resistance against of B. cinerea. Our findings shed new light on a novel strategy for biocontrol using B. laterosporus A60.

Preprocessing Methods for Insect Identification Using Footprints (발자국 패턴을 이용한 곤충 판별 기법을 위한 전처리 과정)

  • Woo, Young-Woon;Cho, Kyoung-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.485-488
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    • 2005
  • The comparison of 3 conventional binarization methods for insect footprints and the result of performance evaluation using a proposed performance criterion are introduced in this paper. The 3 different binarization algorithms for comparison are based on different category each, and the proposed performance criterion is based on the characteristics of insect footprints which have very smaller foreground area than background area. In the experiments, average performance results using 71 test images are compared and analyzed. The higher-order entropy binarization algorithm proposed by Abutaleb showed the best result for pattern recognition applications of insect footprints.

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