Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-28T00:06:50.320Z Has data issue: false hasContentIssue false

Genetic characteristics of broodstock and offspring of the seven-band grouper (Hyporthodus septemfasciatus) using fluorescent-AFLP markers

Published online by Cambridge University Press:  14 September 2016

Yongshuang Xiao
Affiliation:
Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Shuguang Guan
Affiliation:
Marine Biology Institute of Shandong Province, Qingdao 226104, China
Qinghua Liu
Affiliation:
Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Hongjun Liu
Affiliation:
Marine Biology Institute of Shandong Province, Qingdao 226104, China
Daode Yu
Affiliation:
Marine Biology Institute of Shandong Province, Qingdao 226104, China
Daoyuan Ma
Affiliation:
Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Shihong Xu
Affiliation:
Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Jing Liu
Affiliation:
Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China
Ming Dai
Affiliation:
Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou 510300, People's Republic of China
Zhizhong Xiao*
Affiliation:
Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
Jun Li*
Affiliation:
Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
*
Correspondence should be addressed to: J. Li and Z. Xiao, Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China and Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China email: [email protected] and [email protected]
Correspondence should be addressed to: J. Li and Z. Xiao, Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China and Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China email: [email protected] and [email protected]

Abstract

Seven-band grouper (Hyporthodus septemfasciatus) is a commercial rocky reef fish in East Asia that has been regarded as a promising species for aquaculture. To investigate the broodstock contributions to offspring for the sustainability of fry production, 62 individuals of H. septemfasciatus from two broodstocks and one offspring population were analysed using fluorescent-AFLP. A total of 602 bands were amplified and 70.10% of them were polymorphic. The numbers of polymorphic loci were 308 (Pbroodstock I = 55.50%) and 356 (Pbroodstock II = 63.12%) in the two broodstocks, and 294 (Poffspring = 52.88%) in the offspring, respectively. The average values of Shannon diversity index (I) and expected heterozygosity (H) were higher in the broodstock (Ibroodstock I = 0.281, Ibroodstock II = 0.244, Hbroodstock I = 0.185, Hbroodstock II = 0.161) than those in the offspring (Ioffspring = 0.243, Hoffspring = 0.161). AMOVA and FST analyses showed that significant genetic differentiation between broodstock and offspring populations, and limited effective broodstock population size has contributed to the offspring. Both STRUCTURE and Principal Coordinates Analysis (PCoA) also showed the three populations composed of two stocks and most offspring individuals (95.0%) only originated from 44.0% of the individuals of broodstock I, which may have negative effects on sustainable fry production. Therefore, genetic variation between broodstock and offspring should be monitored, and large effective size of broodstock should be employed to ensure the success of commercial breeding programmes. Our data provide a useful genetic basis for future planning of sustainable culture and management of H. septemfasciatus.

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Amos, W., Wilmer, J.W., Fullard, K., Burg, T.M., Croxall, J.P., Bloch, D. and Coulson, T. (2001) The influence of parental relatedness on reproductive success. Proceedings of the Royal Society B 268, 20212027.CrossRefGoogle ScholarPubMed
An, H.S., Byun, S.G., Kim, Y.C., Lee, J.W. and Myeong, J.I. (2011a) Wild and hatchery populations of Korean starry flounder (Platichthys stellatus) compared using microsatellite DNA marker. International Journal of Molecular Sciences 12, 91899202.Google Scholar
An, H.S., Cho, J.K., Kim, K.M., Son, M.H., Myeong, J.I. and An, C.M. (2014a) Genetic differences between broodstock and offspring of seven-band grouper in a hatchery. Genes and Genomics 36, 661669.CrossRefGoogle Scholar
An, H.S., Cho, J.K., Kim, K.M., Son, M.H., Park, J.Y., Myeong, J.I. and An, C.M. (2014b) Genetic characterization of four hatchery populations of the seven-band grouper (Epinephelus septemfasciatus) using microsatellite markers. Biochemical Systematics and Ecology 57, 297304.Google Scholar
An, H.S., Hong, S.W., Kim, E.M. and Myeong, J.I. (2011b) Comparative genetic diversity of wild and hatchery populations of Korean threadsail filefish Stephanolepis cirrhifer using cross-species microsatellite markers. Genes and Genomics 33, 605611.Google Scholar
Ausubel, F.M., Brent, R., Kingston, R.E., Moore, D.D., Seidman, J.G., Smith, J.A. and Struhl, K. (1995) Short protocols in molecular biology. New York: John Wiley & Sons.Google Scholar
Campton, D.E. and Mahmoudi, B. (1991) Allozyme variation and population structure of striped mullet (Mugil cephalus) in Florida. Copeia 1991, 485492.CrossRefGoogle Scholar
Excoffier, L. and Lischer, H.E.L. (2010) Arlequin suite ver 3.5, A new series of programs to perform population genetics analyses under Linux and Windows. Molecular Ecology Resources 10, 564567.Google Scholar
Excoffier, L., Smouse, P.E. and Quattro, J.M. (1992) Analysis of molecular variance inferred from metric distances among DNA haplotypes, application to human mitochondrial DNA restriction data. Genetics 131, 479.Google Scholar
Falk, D.A. and Holsinger, K.E. (1991) Genetics and conservation of rare plants. New York, NY: Oxford University Press.Google Scholar
Glenn, T.C., Stephan, W. and Braun, M.J. (1999) Effects of a population bottleneck on whooping crane mitochondrial DNA variation. Conservation Biology 13, 10971107.Google Scholar
Heemstra, P.C. and Randall, J.E. (1993) FAO species catalogue. Groupers of the World (Family Serranidae, Subfamily Epinephelinae), Volume 16. FAO Fisheries Synopsis No. 125. Rome: Food and Agriculture Organization of the United Nations.Google Scholar
Kime, D.E., Van Look, K.J.W., McAllister, B.G., Huyskens, G., Rurangwa, E. and Ollevier, F. (2001) Computer assisted sperm analysis (CASA) as a tool for monitoring sperm quality in fish. Comparative Biochemistry and Physiology Part B 130, 425433.Google Scholar
Koh, I.C.C., Yokoi, K.I., Tsuji, M., Tsuchihashi, Y. and Ohta, H. (2010) Cryopreservation of sperm from seven-band grouper, Epinephelus septemfasciatus . Cryobiology 61, 263267.Google Scholar
Koljonen, M.L., Gross, R. and Koskiniemi, J. (2015) Wild Estonian and Russian sea trout (Salmo trutta) in Finnish coastal sea trout catches, results of genetic mixed-stock analysis. Hereditas 151, 177195.Google Scholar
Li, S.L., Xu, D.D., Lou, B., Wang, W.D., Xin, J., Mao, G.M. and Zhan, W. (2012) The genetic diversity of wild and hatchery-released Oplegnathus fasciatus from inshore water of Zhoushan revealed by AFLP. Marine Science 36, 2127.Google Scholar
Liu, B.Q., Dong, W.Q., Wang, Y.J., Zhu, S.H. and Wu, W.X. (2005) Identification of germplasm in Pseudosciaena crocer Tai-Chu race by AFLP. Acta Hydrobiologica Sinica 29, 413416.Google Scholar
Liu, J.Y., Lun, Z.R., Zhang, J.B. and Yang, T.B. (2009) Population genetic structure of striped mullet, Mugil cephalus, along the coast of China, inferred by AFLP fingerprinting. Biochemical Systematics and Ecology 37, 266274.Google Scholar
Liu, X.F., Zhuang, Z.M., Meng, Z., Lei, J.L. and Yang, Z. (2010) Progress of artificial breeding technique for seven-band grouper Epinephelus septemfasciatus . Journal of Fishery Sciences of China 17, 11281136.Google Scholar
Mickett, K., Morton, C., Feng, J., Li, P., Simmons, M., Cao, D., Dunham, R.A. and Liu, Z. (2003) Assessing genetic diversity of domestic populations of channel catfish (Ictalurus punctatus) in Alabama using AFLP markers. Aquaculture 228, 91105.Google Scholar
Nei, M. (1987) Molecular evolutionary genetics. New York, NY: Columbia University Press.Google Scholar
Peakall, R. and Smouse, P.E. (2006) GENALEX 6.5, genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics 28, 25372539.CrossRefGoogle Scholar
Pritchard, J.K., Stephens, M. and Donnelly, P. (2000) Inference of population structure using multilocus genotype data. Genetics 155, 945959.CrossRefGoogle ScholarPubMed
Rice, W.R. (1989) Analyzing tables of statistical tests. Evolution 43, 223225.Google Scholar
Reily, A., Elliott, N.G., Grewe, P.M., Clabby, C., Powell, R. and Ward, R.D. (1999) Genetic differentiation between Tasmanian cultured Atlantic salmon (Salmo salar L.) and their ancestral Canadian population, comparison of microsatellite DNA and allozyme and mitochondrial DNA variation. Aquaculture 173, 459469.CrossRefGoogle Scholar
Sekino, M., Hara, M. and Taniguchi, N. (2002) Loss of microsatellite and mitochondrial DNA variation in hatchery strains of Japanese flounder. Paralichthys olivaceus. Aquaculture 213, 101122.Google Scholar
Spielman, D., Brook, B.W. and Frankham, R. (2004) Most species are not driven to extinction before genetic factors impact them. Proceedings of the National Academy of Sciences USA 101, 1526115264.Google Scholar
Seeb, L.W., Seeb, J. E. and Polovina, J.J. (1990) Genetic variation in highly exploited spiny lobster Panulirus marginatus populations from the Hawaiian Archipelago. Fishery Bulletin 88, 713718.Google Scholar
Vekemans, X., Beauwens, T., Lemaire, M. and Roldan-Ruiz, I. (2002) Data from amplified fragment length polymorphism (AFLP) markers show indication of size homoplasy and of a relationship between degree of homoplasy and fragment size. Molecular Ecology 11, 139151.Google Scholar
Vos, P., Hogers, R., Bleeker, M., Reijans, M., Van De Lee, T., Hornes, M., Frijters, A., Pot, J., Peleman, J., Kuiper, M. and Zabeau, M. (1995) AFLP, a new technique for DNA fingerprinting. Nucleic Acids Research 23, 44074414.Google Scholar
Wang, Z., Wang, Y., Lin, L., Qiu, S. and Ben, X. (2002) Genetic polymorphisms in wild and cultured large yellow croaker Pseudosciaena crocea using AFLP fingerprinting. Journal of Fishery Sciences of China 9, 198202.Google Scholar
Xiao, Y.S., Li, J., Ren, G.J., Ma, D.Y., Wang, Y.F., Xiao, Z.Z. and Xu, S.H. (2016) Pronounced population genetic differentiation in the rock bream Oplegnathus fasciatus inferred from mitochondrial DNA sequences. Mitochondrial DNA 27, 20452052.Google ScholarPubMed