Development of Microsatellite Markers for Parentage Analysis in the Japanese Eel Anguilla japonica
![]() |
Noh, Eun Soo
(Biotechnology Research Division, National Institute of Fisheries Science)
Shin, Eun-Ha (Biotechnology Research Division, National Institute of Fisheries Science) Park, Gyeong-Hyun (Biotechnology Research Division, National Institute of Fisheries Science) Kim, Eun-Mi (Biotechnology Research Division, National Institute of Fisheries Science) Kim, Young-Ok (Biotechnology Research Division, National Institute of Fisheries Science) Ryu, Yongwoon (Aquaculture Research Division, National Institute of Fisheries Science) Kim, Shin-Kwon (Aquaculture Research Division, National Institute of Fisheries Science) Nam, Bo-Hye (Biotechnology Research Division, National Institute of Fisheries Science) |
1 | Chang YLK, Miyazawa Y, Miller MJ and Tsukamoto K. 2018. Potential impact of ocean circulation on the declining Japanese eel catches. Sci Rep 8, 5496. https://doi.org/10.1038/s41598-018-23820-6. DOI |
2 | Chavanne H, Janssen K, Hofherr J, Contini F, Haffray P, Consortium A, Komen H, Nielsen EE and Bargelloni L. 2016. A comprehensive survey on selective breeding programs and seed market in the European aquaculture fish industry. Aquac Int 24, 1287-1307. https://doi.org/10.1007/s10499-016-9985-0. DOI |
3 | Flanagan SP and Jones AG. 2018. The future of parentage analysis: From microsatellites to SNPs and beyond. Mol Ecol 28, 544-567. https://doi.org/10.1111/mec.14988. DOI |
4 | Martienz AS, Willoughby JR and Christie MR. 2018. Genetic diversity in fishes is influenced by habitat type and lifehistory variation. Ecol Evol 8, 12022-12031. https://doi.org/10.1002/ece3.4661. DOI |
5 | Jarne P and Lagoda PJL. 1996. Microsatellites, from molecules to populations and back. Trends Ecol Evol 11, 424-429. https://doi.org/10.1016/0169-5347(96)10049-5. DOI |
6 | Baek EY, Lee NS and Cho GH. 2021. A study on institutional changes of the eel aquaculture in Japan. J Kor Soc Fish Mar Sci Edu 33, 634-642. https://doi.org/10.13000/JFMSE.2021.6.33.3.634. DOI |
7 | FAO (Food and Agriculture Organization). 2022. FishStatJ: Universal Software for Fishery Statistical Time Series. Aquaculture production 1950-2020. FAO, Rome, Italy. |
8 | Hamidoghli A, Bae J, Won S, Lee S, Kim D and Bai SC. 2019. A review on Japanese eel (Anguilla japonica) aquaculture, with special emphasis on nutrition. Rev Fish Sci Aquac 27, 226-241. https://doi.org/10.1080/23308249.2019.1583165. DOI |
9 | Liu ZJ and Cordes FC. 2004. DNA marker technologies and their applications in aquaculture genetics. Aquaculture 238, 1-37. https://doi.org/10.1016/j.aquaculture.2004.05.027. DOI |
10 | Pike C, Kaifu K, Crook V, Jacoby D and Gollock M. 2020. Anguilla japonica. TIUCN Red List Threatened Species 2020, e.T166184A176493270. https://doi.org/10.2305/IUCN.UK.2020-3.RLTS.T166184A176493270.en. DOI |
11 | Irwin DMA, Kocher TD and Wilson AC. 1991. Evolution of the cytochrome b gene of mammals. J Mol Evol 32, 128-144. https://doi.org/10.1007/BF02515385. DOI |
12 | Van Dijk H, Wolff K and Devries ANDA. 1981. Genetic variability in Plantago species in relation to their ecology. Theor Appl Genet 60, 285-290. https://doi.org/10.1007/BF00263720. DOI |
13 | Vieira MLC, Santini L, Diniz AL and Munhoz CF. 2016. Microsatellite markers: what they mean and why they are so useful. Genet Mol Biol 39, 312-328. https://doi.org/10.1590/1678-4685-GMB-2016-0027. DOI |
14 | Yue GH and Zia JH. 2014. Practical considerations of molecular parentage analysis in fish. J World Aquacult Soc 45, 89-103. https://doi.org/10.1111/jwas.12107. DOI |
15 | Gill P, Curran J and Elliot K. 2005. A graphical simulation model of the entire DNA process associated with the analysis of short tandem repeat loci. Nucleic Acids Res 33, 632-643. https://doi.org/10.1093/nar/gki205. DOI |
16 | Herbinger CM, Doyle RW, Pitman ER, Paquet D, Mesa KA, Morris DB, Wright JM and Cook D. 1995. DNA fingerprint based analysis of paternal and maternal effects on offspring growth and survival in communally reared rainbow trout. Aquaculture 137, 245-256. https://doi.org/10.1016/0044-8486(95)01109-9. DOI |
17 | Marshall TC, Slate J, Kruuk LEB and Pemberton JM. 2003. Statistical confidence for likelihood-based paternity inference in natural populations. Mol Ecol 7, 639-655. https://doi.org/10.1046/j.1365-294x.1998.00374.x. DOI |
18 | Kalia RK, Rai MK, Kalia S, Singh R and Dhawan AK. 2011. Microsatellite markers: an overview of the recent progress in plants. Euphytica 177, 309-334. https://doi.org/10.1007/s10681-010-0286-9. DOI |
19 | Kalinowski ST, Taper ML and Marshall TC. 2007. Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol Ecol 16, 1099-1106. https://doi.org/10.1111/j.1365-294X.2007.03089.x. DOI |
20 | Lorenzen K, Beveridge MCM and Mangel M. 2012. Cultured fish: integrative biology and management of domestication and interactions with wild fish. Biol Rev 87, 639-660. https://doi.org/10.1111/j.1469-185X.2011.00215.x. DOI |
21 | Norris AT, Bradley DG and Cunningham EP. 2000. Parentage and relatedness determination in farmed Atlantic salmon (Salmo salar) using microsatellite markers. Aquaculture 182, 73-83. https://doi.org/10.1016/S0044-8486(99)00247-1. DOI |
22 | Pei J, Bao P, Chu M, Liang C, Ding X, Wang H, Wu X, Guo X and Yan P. 2018. Evaluation of 17 microsatellite markers for parentage testing and individual identification of domestic yak (Bos grunniens). PeerJ 6, e5946. https://doi.org/10.7717/peerj.5946. DOI |
23 | Smouse PE and Peakall ROD. 2012. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics 28, 2537-2539. https://doi.org/10.1093/bioinformatics/bts460. DOI |
24 | Walsh PS, Files NJ and Reynolds R. 1996. Sequence analysis and characterization of stutter products at the tetranucleotide repeat locus vWA. Nucleic Acids Res 24, 2807-2812. https://doi.org/10.1093/nar/24.14.2807. DOI |
![]() |