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Genetic evaluation of Chinese shrimp (Fenneropenaeus chinensis) stock enhancement in the Yellow Sea and Bohai Sea based on mitochondrial DNA control region

  • Tianyan Yang
  • Shuang Yang
  • Wei Meng
  • Tianxiang Gao
  • Xiumei ZhangEmail author
Article
  • 17 Downloads

Abstract

Stock enhancement is a fishery management approach involving the release of hatchery organisms to increase the abundance of natural fish or invertebrate population. In this study, genetic evaluation of Fenneropenaeus chinensis stock enhancement was carried out based on the mitochondrial DNA control region. The haplotype diversity (Hd) and nucleotide diversity (π) of broodstock populations were generally higher than that of recaptured populations. The molecular variance analysis (AMOVA) results demonstrated that genetic variance was in connection with the time of releasing and recapture. A significant pairwise FST value was only obtained between L1CY and C2LZ. But there was no obvious correlation between their geographical distance and genetic difference, confirming that time factor might be the leading cause of differences. Haplotypes shared by more than three individuals all could be recaptured, which indicated that the enhancement experiment was relatively successful. In general, the enhancement effect in 2012 was better than that of in 2013.

Keywords

Chinese shrimp Stock enhancement Release-recapture mtDNA control region 

Notes

Funding information

This study is financially supported by the Scientific Research Startup Foundation of Zhejiang Ocean University (2016–2017) and National Program on Key Basic Research Project (973 Program) (2015CB453302).

Compliance with ethical standards

Conflict of interests

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with animals performed by any of the authors.

References

  1. Adam S, Sibert J, Itano D, Holland K (2002) Analysis of Hawaii Tuna Tagging Project (HTTP) data from a site and size-specific tag-attrition model. 15th Meeting of the Standing Committee on Tuna and Billfish. Honolulu, HawaiiGoogle Scholar
  2. Aizawa Y, Takiguchi N (1999) Consideration of the methods for estimating the age-composition from length frequency data with MS-Excel. Bull Jpn Soc Fish Oceanogr 63:205–214 (in Japanese with English abstract)Google Scholar
  3. Allen KR, Hearn WS (1989) Some Procedures for use in cohort analysis and other population simulations. Can J Fish Aquat Sci 46:483–488.  https://doi.org/10.1139/f89-064 CrossRefGoogle Scholar
  4. Aritaki M, Kayaba T, Andoh T, Fuji T, Shima Y, Taniguchi N (2013) Stock enhancement and management for coastal fishery resources, using monitoring method based on molecular tools. Nippon Suisan Gakkaishi 79:74–87 (in Japanese with English abstract)CrossRefGoogle Scholar
  5. Bell JD, Munro JL, Nash WJ, Rothlisberg PC, Loneragan NR, Ward RD, Andrew NR (2005) Restocking and stock enhancement of marine invertebrate fisheries. Elsevier, Amsterdam, pp 370–374Google Scholar
  6. Bhattacharya CG (1967) A simple method of resolution of a distribution into Gaussian components. Biometrics 23:115–135.  https://doi.org/10.2307/2528285 CrossRefPubMedGoogle Scholar
  7. Brethes JC, Bouchard R, Desrosiers G (1985) Determination of the area prospected by a baited trap from a tagging and recapture experiment with snow crabs (Chionoecetes opilio). J Northwest Atl Fish Sci 6:178–184.  https://doi.org/10.2960/J.v6.a4 CrossRefGoogle Scholar
  8. Cha HK, Oh CW, Hong SY, Park KY (2002) Reproduction and population dynamics of Penaeus chinensis (Decapoda: Penaeidae) on the western coast of Korea, Yellow Sea. Fish Res 5:25–36.  https://doi.org/10.1016/s0165-7836(01)00310-1 CrossRefGoogle Scholar
  9. Chang IZ, Bernard AMA (2010) Simple biomass-based length-cohort analysis for estimating biomass and fishing mortality. Trans Am Fish Soc 139:911–924.  https://doi.org/10.1577/T09-041.1 CrossRefGoogle Scholar
  10. Chen P, Qin CX, Yu J, Shu L, Li X, Zhou Y, Yuan H (2015) Evaluation of the effect of stock enhancement in the coastal waters of Guangdong, China. Fish Manag Ecol 22:172–180.  https://doi.org/10.1111/fme.12113 CrossRefGoogle Scholar
  11. Chu KH, Li CP, Tam YK, Lavery S (2003) Application of mitochondrial control region in population genetic studies of the shrimp Penaeus. Mol Ecol Notes 3:120–122.  https://doi.org/10.1046/j.1471-8286.2003.00376.x CrossRefGoogle Scholar
  12. Deng JY (1998) Current study status of prawn fishery biology. Chin Sci Bull 10:191–194 (in Chinese with English abstract)Google Scholar
  13. Deng JY, Zhuang ZM (2001) The cause of recruitment variation of Penaeus chinensis in the Bohai Sea. J Fish Sci China 7:125–128 (in Chinese with English abstract)Google Scholar
  14. Deng JY, Ye CC, Liu YC (1990) Penaeus chinensis in the Bohai and Yellow Seas-its biology and management. China Ocean Press, Beijing, pp 36–64 (in Chinese with English abstract)Google Scholar
  15. Duan Y, Zhang X, Liu X, Thakur DN (2014) Effect of dissolved oxygen on swimming ability and physiological response to swimming fatigue of whiteleg shrimp (Litopenaeus vannamei). J Ocean Univ China 13:132–140.  https://doi.org/10.1007/s11802-014-1974-1 CrossRefGoogle Scholar
  16. Excoffier L, Lischer HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10:564–567.  https://doi.org/10.1111/j.1755-0998.2010.02847.x CrossRefPubMedGoogle Scholar
  17. Gall GAE (1987) Inbreeding. In: Ryman N, Utter F (eds) Population genetics and fishery management. University of Washington Press, Seattle, pp 47–87Google Scholar
  18. Gorie S (2002) Estimation of parameters in a mixture of normal distributions from length frequency composition and growth formula by MS-Excel. Suisanzoshoku 50:243–249 (in Japanese with English abstract)Google Scholar
  19. Hasselblad V (1966) Estimation of parameters for a mixture of normal distributions. Technometrics 8:431–444.  https://doi.org/10.2307/1266689 CrossRefGoogle Scholar
  20. Huang B, Walters C (1983) Cohort analysis and population dynamics of large yellow croaker in the China Sea. N Am J Fish Manag 3:295–305.  https://doi.org/10.1577/1548-8659(1983)3<295:CAAPDO>2.0.CO;2 CrossRefGoogle Scholar
  21. Ibañez AL, Cowx IG, O’Higgins P (2007) Geometric morphometric analysis of fish scales for identifying genera, species, and local populations within the Mugilidae. Can J Fish Aquat Sci 64:1091–1100.  https://doi.org/10.1139/f07-075 CrossRefGoogle Scholar
  22. James MJ (1991) Ontogenetic changes in swimming activity of northern shrimp in non flowing and flowing water. J Shellfish Res 10:296–305 https://eurekamag.com/research/032/642/032642888.php. Accessed 21 May 2018Google Scholar
  23. Kodama K, Yamakawa T, Shimizu T, Aoki I (2005) Age estimation of the wild population of Japanese mantis shrimp Oratosquilla oratoria (Crustacea: Stomatopoda) in Tokyo Bay, Japan, using lipofuscin as an age marker. Fish Sci 71:141–150.  https://doi.org/10.1111/j.1444-2906.2005.00941.x CrossRefGoogle Scholar
  24. Lebreton JD, Burnham KP, Clobert J, Anderson DR (1992) Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecol Monogr 62:67–118.  https://doi.org/10.2307/2937171 CrossRefGoogle Scholar
  25. Li PF, Zhang H, Zhang XM, Gao TX, Han ZQ (2017) Study on the genetic variability of the hatchery-released and wild populations of Chinese white shrimp Fenneropenaeus chinensis in the Yellow Sea and Bohai Sea. Aquac Int 25:2117–2126.  https://doi.org/10.1007/s10499-017-0174-6 CrossRefGoogle Scholar
  26. Lin SH (2012) Migratory environmental history and habitat use of Japanese eel Anguilla japonica in the river as revealed by otolith elemental composition and mark-recapture experiment. Taiwan University, Doctor’s Thesis. Taipei (In Chinese with English abstract)Google Scholar
  27. Molony BW, Lenanton R, Jackson G, Norriss J (2003) Stock enhancement as a fisheries management tool. Rev Fish Biol Fish 13:409–432.  https://doi.org/10.1007/s11160-005-1886-7 CrossRefGoogle Scholar
  28. Nielsen JL, Gan C, Thomas WK (1994) Differences in genetic diversity for mitochondrial DNA between hatchery and wild populations of Oncorhynchus. Can J Fish Aquat Sci 51:290–297.  https://doi.org/10.1139/f94-316 CrossRefGoogle Scholar
  29. Ogasawara YR (1984) Prawn’s ecology. In: Japanese prawns and world prawns. Seizando Publishing, Tokyo, pp 30–38Google Scholar
  30. Reisenbichler RR, Rubin SP (1999) Genetic changes from artificial propagation of Pacific salmon affect the productivity and viability of supplemented populations. ICES J Mar Sci 56:459–466.  https://doi.org/10.1006/jmsc.1999.0455 CrossRefGoogle Scholar
  31. Roath WW (1989) Evaluation and enhancement. Plant breeding reviews: the national plant germplasm system of the United States, vol 7. Wiley, Hoboken, pp 183–211Google Scholar
  32. Rooker JR, Secor DH, DeMetrio G, Rodríquez-marín E, Farrugia AF (2006) Evaluation of population structure and mixing rates of Atlantic bluefin tuna from chemical signatures in otoliths. ICCAT, Col Vol Sci Pa 59:813–818Google Scholar
  33. Sambrook J, Fritsch EF, Maniatis T (1989) Molecular cloning: a laboratory manual, 2nd edn. Cold Spring Harbor Laboratory Press, New YorkGoogle Scholar
  34. Sasaki R, Nakai K (2006) Mark-recapture experiment using barfin flounder, Verasper moseri on the coast of Iwate prefecture. Saibai Gyogyo Gijutsu Kaihatsu Kenkyu 34:1–6 (in Japanese with English abstract).Google Scholar
  35. Schonewald-Cox CM, Chambers SM, MacBryde B, Thomas WL (1983) Genetics and conservation: a reference for managing wild animal and plant populations. Benjamin-Cummings Publishing, Menlo Park, pp 40–46Google Scholar
  36. Song N, Li PF, Zhang XM, Gao TX (2018) Changing phylogeographic pattern of Fenneropenaeus chinensis in the Yellow Sea and Bohai Sea inferred from microsatellite DNA: implications for genetic management. Fish Res 200:11–16.  https://doi.org/10.1016/j.fishres.2017.12.003 CrossRefGoogle Scholar
  37. Soule ME (1986) Conservation biology: the science of scarcity and diversity. Sinauer Associaties, Sunderland, pp 57–76Google Scholar
  38. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S (2013) MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol 30:2725–2729.  https://doi.org/10.1093/molbev/mst197 CrossRefPubMedPubMedCentralGoogle Scholar
  39. Vaseeharan B, Rajakamaran P, Jayaseelan D, Vincent AY (2013) Molecular markers and their application in genetic diversity of penaeid shrimp. Aquac Int 21:219–241.  https://doi.org/10.1007/s10499-012-9582-9 CrossRefGoogle Scholar
  40. Wang QY, Zhuang ZM, Deng JY, Ye Y (2006) Stock enhancement and translocation of the shrimp Penaeus Chinensis in China. Fish Res 80:67–79.  https://doi.org/10.1016/j.fishres.2006.03.015 CrossRefGoogle Scholar
  41. Wang L, Shi XF, Su YQ, Meng ZN, Lin HR (2012) Loss of genetic diversity in the cultured stocks of the large yellow croaker, Larimichthys crocea, revealed by microsatellites. Int J Mol Sci 13:5584–5597.  https://doi.org/10.3390/ijms13055584 CrossRefPubMedPubMedCentralGoogle Scholar
  42. Wang MS, Wang WJ, Xiao GX, Liu KF, Hu YL, Tian T, Kong J, Jin XS (2016) Genetic diversity analysis of spawner and recaptured populations of Chinese shrimp (Fenneropenaeus chinensis) during stock enhancement in the Bohai Bay based on an SSR marker. Acta Oceanol Sin 35:51–56.  https://doi.org/10.1007/s13131-016-0830-0 CrossRefGoogle Scholar
  43. Waples RS, Drake J (2008) Risk/benefit considerations for marine stock enhancement: a Pacific salmon perspective. Stock enhancement and sea ranching: developments, pitfalls and opportunities, 2nd edn. Blackwell Publishing, Oxford, pp 260–306Google Scholar
  44. Yu XM, Zhang XM, Zhang PD, Yu CG (2009) Swimming ability and physiological response to swimming fatigue in kuruma shrimp, Marsupenaeus japonicus. Afr J Biotechnol 8:1316–1321.  https://doi.org/10.1186/1471-2164-10-149 CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Fisheries CollegeZhejiang Ocean UniversityZhoushanChina
  2. 2.Fisheries CollegeOcean University of ChinaQingdaoChina
  3. 3.Marine Fisheries Research Institute of ZhejiangZhoushanChina

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