• 한국수산과학회지
• /
• 제49권2호
• /
• pp.224-233
• /
• 2016

The objective of this study was to develop an artificial neural network (ANN) model for the acoustic identification of commercially important fish species in Korea. A broadband echo acquisition and processing system operating over the frequency range of 85-225 kHz was used to collect and process species-specific, time-frequency feature images from six fish species: black rockfish Sebastes schlegeli, black scraper Thamnaconus modesutus [K], chub mackerel Scomber japonicus, goldeye rockfish Sebastes thompsoni, konoshiro gizzard shad Konosirus punctatus and large yellow croaker Larimichthys crocea. An ANN classifier was developed to identify fish species acoustically on the basis of only 100 dimension time-frequency features extracted by the principal components analysis (PCA). The overall mean identification rate for the six fish species was 88.5%, with individual identification rates of 76.6% for black rockfish, 82.8% for black scraper, 93.8% for chub mackerel, 90.6% for goldeye rockfish, 96.9% for konoshiro gizzard shad and 90.6% for large yellow croaker, respectively. These results demonstrate that individual live fish in well-controlled environments can be identified accurately by the proposed ANN model.

• 한국수산과학회지
• /
• 제50권2호
• /
• pp.195-206
• /
• 2017

Joint time-frequency images of the broadband echo signals of six fish species were obtained using the smoothed pseudo-Wigner-Ville distribution in controlled environments. Affine transformation and principal component analysis were used to obtain eigenimages that provided species-specific acoustic features for each of the six fish species. The echo images of an unknown fish species, acquired in real time and in a fully automated fashion, were identified by finding the smallest Euclidean or Mahalanobis distance between each combination of weight matrices of the test image of the fish species to be identified and of the eigenimage classes of each of six fish species in the training set. The experimental results showed that the Mahalanobis classifier performed better than the Euclidean classifier in identifying both single- and mixed-species groups of all species assessed.

• 한국어병학회지
• /
• 제22권3호
• /
• pp.391-400
• /
• 2009

Genetic identification of 17 fish-derived Aeromonas strains was attempted using 5 housekeeping genes. 16S rRNA, gyrB, rpoD, dnaJ and recA genes from the 17 strains were amplified, and total of 85 amplicons were sequenced. DNA sequences of the strains and type strains of the 17 Aeromonas homology groups were used for genetic identification and phylogenetic analyses. None of the strains was identified as a single species using the 16S rRNA gene, showing the same identities (average = 99.7%) with several Aeromonas species. According to gyrB, rpoD, dnaJ, and recA, 9 strains and RFAS-1 used in this study were identified as A. hydrophila and A. salmonicida, respectively. However, the other strains were closely related to 2 or more Aeromonas species (i.e., A. salmonicida, A. veronii, A. jandaei, A. media and A. troda) depending on the genetic marker used. In this study, gyrB, rpoD, dnaJ and recA gene sequences proved to be advantageous over 16S rRNA for the identification of field Aeromonas isolates obtained from fish. However, there are discrepancies between analyses of different phylogenetic markers, indicating there are still difficulties in genetic identification of the genus Aeromonas using the housekeeping genes used in this study. Advantages and disadvantages of each housekeeping gene should be taken into account when the gene is used for identification of Aeromonas species.

• 한국식품과학회지
• /
• 제2권2호
• /
• pp.30-33
• /
• 1970

각종(各種) 어류(魚類)의 가열(加熱)된 어육단백(魚肉蛋白)을 acrylamide gel을 사용(使用)하여 전기영동(電氣泳動)한 결과(結果)로 나타나는 분획상(分劃像)의 특이성(特異性)으로서 어류품종(魚類品種)을 분류(分類)할 수 있었다. 즉 숭어 대구 삼치 고등어 참조기 방어 갈치 금태 아지 병어의 특징있는 전기영동분획상(電氣泳動分劃像) 10 개(個)를 만들었다. 이로써 acrylamide gel 을 이용(利用)한 disc-전기영동(電氣泳動)을 통하여 조리(調理)된 어육제품(魚肉製品) 소편(小片)으로 그 어류품종(魚類品種)을 감별(鑑別)해 낼 수 있는 표준(標準)이 확실(確實)하게 되었다. 그러나 아직 본(本) 실험결과(實驗結果)를 통조림된 어육(魚肉)에는 적용(適用)할 수가 없다.

• Genomics & Informatics
• /
• 제10권3호
• /
• pp.206-211
• /
• 2012

DNA barcoding has been widely used in species identification and biodiversity research. A short fragment of the mitochondrial cytochrome c oxidase subunit I (COI) sequence serves as a DNA bio-barcode. We collected DNA barcodes, based on COI sequences from 156 species (529 sequences) of fish, insects, and shellfish. We present results on phylogenetic relationships to assess biodiversity the in the Korean peninsula. Average GC% contents of the 68 fish species (46.9%), the 59 shellfish species (38.0%), and the 29 insect species (33.2%) are reported. Using the Kimura 2 parameter in all possible pairwise comparisons, the average interspecific distances were compared with the average intraspecific distances in fish (3.22 vs. 0.41), insects (2.06 vs. 0.25), and shellfish (3.58 vs. 0.14). Our results confirm that distance-based DNA barcoding provides sufficient information to identify and delineate fish, insect, and shellfish species by means of all possible pairwise comparisons. These results also confirm that the development of an effective molecular barcode identification system is possible. All DNA barcode sequences collected from our study will be useful for the interpretation of species-level identification and community-level patterns in fish, insects, and shellfish in Korea, although at the species level, the rate of correct identification in a diversified environment might be low.

• 한국수산과학회지
• /
• 제49권2호
• /
• pp.214-223
• /
• 2016

Joint time-frequency images of the broadband acoustic echoes of six fish species were obtained using the smoothed pseudo-Wigner-Ville distribution (SPWVD). The acoustic features were extracted by changing the sliced window widths and dividing the time window by a 0.02-ms interval and the frequency window by a 20-kHz bandwidth. The 22 spectrum amplitudes obtained in the time and frequency domains of the SPWVD images were fed as input parameters into an artificial neural network (ANN) to verify the effectiveness for species-dependent features related to fish species identification. The results showed that the time-frequency approach improves the extraction of species-specific features for species identification from broadband echoes, compare with time-only or frequency-only features. The ANN classifier based on these acoustic feature components was correct in approximately 74.5% of the test cases. In the future, the identification rate will be improved using time-frequency images with reduced dimensions of the broadband acoustic echoes as input for the ANN classifier.

• Parasites, Hosts and Diseases
• /
• 제52권4호
• /
• pp.383-389
• /
• 2014

Anisakiasis, a human infection of Anisakis L3 larvae, is one of the common foodborne parasitic diseases in Korea. Studies on the identification of anisakid larvae have been performed in the country, but most of them have been focused on morphological identification of the larvae. In this study, we analyzed the molecular characteristics of 174 Anisakis type I larvae collected from 10 species of fish caught in 3 different sea areas in Korea. PCR-RFLP and sequence analyses of rDNA ITS and mtDNA cox1 revealed that the larvae showed interesting distribution patterns depending on fish species and geographical locations. Anisakis pegreffii was predominant in fish from the Yellow Sea and the South Sea. Meanwhile, both A. pegreffii and A. simplex sensu stricto (A. simplex s.str.) larvae were identified in fish from the East Sea, depending on fish species infected. These results suggested that A. pegreffii was primarily distributed in a diverse species of fish in 3 sea areas around Korea, but A. simplex s.str. was dominantly identified in Oncorhynchus spp. in the East Sea.

• Fisheries and Aquatic Sciences
• /
• 제26권9호
• /
• pp.548-557
• /
• 2023

The purposes of this research were to identify fish species using DNA barcodes or partial sequences of cytochrome b (Cytb) and to assess the diversity of fish in the Mae Tam reservoir, Phayao province, Thailand. Fish samples were collected 3 times, during the winter, summer, and rainy seasons, from 2 sampling sites using gillnets with 3 mesh sizes (30, 50, and 70 mm). A total of 34 representative samples were classified into 12 species, 7 families and 6 orders by morphological- and DNA barcoding-based identifications. However, one cichlid species, Cichlasoma trimaculatum, could only be identified using DNA barcoding. Family Cyprinidae had the greatest diversity, 50.00%. The diversity, richness and evenness indices ranged from 0.43-0.65, 0.64-1.46, and 0.27-0.40, respectively, indicating that fish diversity at both sampling sites was relatively low. A comparison of the catch per unit effort (CPUE) with 3 different mesh sizes found that the 50 mm mesh size was the best (474.80 ± 171.56 g/100 m²/night), followed by the 70 mm (417.41 ± 176.24 g/100 m²/night) and 30 mm mesh sizes (327.88 ± 115.60 g/100 m²/night). These results indicate that DNA barcoding is a powerful tool for species identification. Our data can be used for planning the sustainable management of fisheries resources in the Mae Tam reservoir.

• 한국수산과학회지
• /
• 제50권6호
• /
• pp.829-836
• /
• 2017

This study investigated the species composition and abundance of floating fish eggs to determine the timing and location of spawning of fish inhabiting the coastal waters of Sagye, Jejudo Island. Eggs were collected with a Bongo net bimonthly from May 2009 to February 2010. Identifications were based on nucleotide sequences of the mitochondrial cytochrome c oxidase subunit I (COI) gene. Eggs were determined to belong to 43 distinct taxa, 35 of which were identified to the species level. The assemblage spanned eight orders, 23 families, and 32 genera. The number of taxa collected varied from month to month, with 14 taxa (12 species) found in June 2009, 11 taxa (10 species) in October 2009, 10 taxa (nine species) each in August 2009 and February 2010, eight taxa (six species) in April 2009, and five taxa (four species) in December 2009. Five abundant species (Branchiostegus japonicus, Engraulis japonicus, Pseudolabrus sieboldi, Goniistius zonatus, and Halichoeres tenuispinis) together represented 52.8% of the total number of eggs collected during the study.

• 환경영향평가
• /
• 제30권1호
• /
• pp.1-12
• /
• 2021

본 연구는 환경DNA 기술을 이용한 국내 담수어류종 탐지방법 도입 및 적용가능성을 확인하기 위해 수행되었다. 환경DNA를 이용한 모니터링 기술은 기존의 현장조사 모니터링 방식에 비하여 교란이 적고 편의성이 높으며 조사에 대한 감도가 높아 급변하는 하천 생태계 모니터링을 위한 효율적인 방법으로 주목받고 있다. 본 연구의 대상지는 경기도 민물고기 생태학습관으로 수족관 내 수조, 생태연못, 양식장에 서식하는 국내 대표적 담수어류종에 대해 7월부터 10월까지 3차례의 물 환경시료를 수집하여 환경DNA 분석을 실시하였다. 국내 담수생태계의 다양한 서식환경을 고려하여 선정된 종에 대해 기 구축된 유전자생물종 DNA 염기서열 특성을 검토하고, 종 검출 여부 확인을 위해 채수된 16개의 환경시료를 Miya et al(2015)에서 제시된 환경DNA 분석 프로토콜에 준하여 분석하였다. 그 결과 대상 어종 총 7목 11과 50종 중 7목 11과 45종(90%)이 검출되었다. 이는 환경DNA 기술과 기 구축된 어류종 DNA DB를 활용하여 다양한 환경조건에서도 단순한 채수 샘플링으로부터 국내 서식하고 있는 주요 민물고기 어종이 검출되었다는 점에서 의의가 있다. 나아가 실험 중 발생된 수족관 내 시료 오염, 불균질한 DNA 채집, 생물종 유전자정보 누락 등의 오차요인들을 분석하여 자연환경에서 적용 시 앞으로의 보완 방향에 대하여 제시하였다.