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http://dx.doi.org/10.11614/KSL.2022.55.4.360

Analysis of Food Sources of Pre- and Post-diet in a Bivalve Using DNA Metabarcoding  

Bong-Soon Ko (Department of Ocean Integrated Science, Chonnam National University)
Jae-won Park (Department of Ocean Integrated Science, Chonnam National University)
Chang Woo Ji (Fisheries Science Institute, Chonnam National University)
Ihn-Sil Kwak (Department of Ocean Integrated Science, Chonnam National University)
Publication Information
Abstract
Research on food sources through DNA metabarcoding is being used for various organisms based on high resolution and reproducibility. In the study, we investigated the difference in food sources between pre and post-starving in the three bivalve species (Anemina acaeformis, Anodonta woodiana, and Unio douglasiae) through DNA metabarcoding using 18S rRNA V9 primer. The food source of pre-starving appeared in 87 genera, 71 families, 51 orders, 35 classes, and 22 phyla. The primary food sources were the zoo and phytoplankton, including Chlamydomonadales, Euglenales, Ploima, Sphaeropleales, and Stephanodiscales. However, all zoo and phytoplankton were not observed after starving except Schizopyrenida and Rotifera. In Levin's niche breadth analysis, the Bi index of A. woodiana is 0.3, which was higher than A. acaeformis(0.14) and U. douglasiae (0.21), indicating that they feed on various food sources. The niche overlap of A. acaeformis was measured as 0.78 in A. woodiana, 0.7 in U. douglasiae showing a relative high value compared to other bivalves. The trophic level of A. acaeformis, A. woodiana, and U. douglasiae based on the food source information were investigated as 2.0, 2.0, and 2.5, respectively. The results of the previous study on the trophic level using stable isotopes showed 1.8 to 2.4 values were similar to the results of this study. These results suggest that DNA metabarcoding can be an effective analyzing tool for the gut content in the bivalves.
Keywords
food source; gut content; bivalve; DNA metabarcoding; 18S rRNA primer;
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1 Amaral-Zettler, L.A., E.A. McCliment, H.W. Ducklow and S.M. Huse. 2009. A method for studying protistan diversity using massively parallel sequencing of V9 hypervariable regions of small-subunit ribosomal RNA genes. PloS One 4(7): e6372.
2 Bae, M.-J. and Y.-S. Park. 2019. Evaluation of precipitation impacts on benthic macroinvertebrate communities at three different stream types. Ecological Indicators 102: 446-456.   DOI
3 Bergmeier, F.S., L. Ostermair and K.M. Jorger. 2021. Specialized predation by deep-sea Solenogastres revealed by sequencing of gut contents. Current Biology 31(13): R836-R837.   DOI
4 Carreon-Martinez, L. and D.D. Heath. 2010. Revolution in food web analysis and trophic ecology: diet analysis by DNA and stable isotope analysis. Molecular Ecology 19(1): 25-27.   DOI
5 Chang, M., J.-S. Hong and H.T. Huh. 1988. Environmental conditions in the pearl oyster culture grounds and food organisms of Pinctata furcata martensii (Dunker) (Bivalvia, Pterioida). Ocean Research 10(1): 67-77.
6 Choi, H.-S., G.-S. Nam, M.-S. Kim, H.-J. Shin, M.-H. Park, S.-J. Hwang and B.-H. Kim. 2014. Response Surface Methodology for Optimization of the Removal of Organic Matters in Eutrophic Waters by Korean Freshwater Bivalves. Korean Journal of Ecology and Environment 47(4): 312-318.   DOI
7 Cortes, E. 1999. Standardized diet compositions and trophic levels of sharks. ICES Journal of Marine Science 56(5): 707-717.   DOI
8 Csardi, G. and T. Nepusz. 2006. The igraph software package for complex network research. InterJournal, Complex Systems 1695(5): 1-9.
9 Deagle, B., D. Tollit, S. Jarman, M. Hindell, A. Trites and N. Gales. 2005. Molecular scatology as a tool to study diet: analysis of prey DNA in scats from captive Steller sea lions. Molecular Ecology 14(6): 1831-1842.   DOI
10 Guillerault, N., S. Bouletreau, A. Iribar, A. Valentini and F. Santoul. 2017. Application of DNA metabarcoding on faeces to identify European catfish Silurus glanis diet. Journal of Fish Biology 90(5): 2214-2219.   DOI
11 Heo, Y.-J., H. Jo, E. Jung and H.-W. Kim. 2021. Application of NGS Analysis for the Food Source of Bivalve. Korean Journal of Ecology and Environment 54(3): 257-264.   DOI
12 Horn, H.S. 1966. Measurement of "overlap" in comparative ecological studies. The American Naturalist 100(914): 419-424.   DOI
13 Ji, C.W., D.-S. Lee, D.-Y. Lee, I.-S. Kwak and Y.-S. Park. 2020. Analysis of Food Resources of 45 Fish Species in Freshwater Ecosystems of South Korea (Based on Literature Data Analysis). Korean Journal of Ecology and Environment 53(4): 311-323.   DOI
14 Kwon, O.K., G.M. Park and J.S. Lee. 1993. Korean Mollusks with Color Illustrations. Academy Book.
15 Kim, H.-J., T.-K. Lee, S.W. Jung, I.-K. Kwon and J.-W. Yoo. 2018. Analyzing Vomit of Platalea minor (Black-faced Spoonbill) to Identify Food Components using Next-Generation Sequencing and Microscopy. Korean Journal of Environmental Biology 36(2):165-173.   DOI
16 Kim, S. 2017. Application of next generation sequencing (NGS) technique for the stomach content analysis of marine fish. Pukyong National University.
17 Kwak, I.-S., C.W. Ji, W.-S. Kim and D. Kong. The List of Korean Organisms Registered in the NCBI Nucleotide Database for Environmental DNA Research. Korean Journal of Ecology and Environment 55(4): 365-372.
18 Kown, S.J., Y.C. Jeon and J.H. Park. 2013. Aquatic Organsim Encyclopedia: Benthic Macroinvertebrates. Nature and Ecology.
19 Lee, C.S. 1997. Studies on the Feeding Activity and Environmental Tolerance of Geoduck Clam, Panope japonica. Journal of Aquaculture 10(2): 213-218.
20 Lee, J.-S. 2019. Invertebrate Fauna of Korea. National Institute of Biological Resources.
21 Lee, S.-H., S.-J. Hwang and B.-H. Kim. 2008a. Grazing Effects of Freshwater Bivalve Unio douglasiae on the Hibernal Diatom Bloom in the Eutrophic Lake and Stream. Korean Journal of Ecology and Environment 41(2): 237-246.
22 Lee, Y.-J., B.-H. Kim, N.-Y. Kim, H.-Y. Um and S.-J. Hwang. 2008b. Effects of temperature, food concentration, and shell size on filtering rate and pseudofeces production of Unio douglasiae on Microcystis aeruginosa. Korean Journal of Ecology and Environment 41: 61-67.
23 Levins, R. 1968. Evolution in Changing Environments: Some Theoretical Explorations. Princeton University Press.
24 Vaughn, C.C. and C.C. Hakenkamp. 2001. The functional role of burrowing bivalves in freshwater ecosystems. Freshwater Biology 46(11): 1431-1446.   DOI
25 Lindeque, P.K., A. Dimond, R.A. Harmer, H.E. Parry, K.L. Pemberton and E.S. Fileman. 2015. Feeding selectivity of bivalve larvae on natural plankton assemblages in the Western English Channel. Marine Biology 162(2): 291-308.   DOI
26 Morton, B. 1978. The biology and functional morphology of Philobrya munita (Bivalvia: Philobryidae). Journal of Zoology 185(2): 173-196.   DOI
27 NCBI, N.C.f.B.I. 2021. NCBI Nucleotide database. https://www.ncbi.nlm.nih.gov/nucleotide/.