Elsevier

Aquaculture

Volume 451, 20 January 2016, Pages 72-77
Aquaculture

Mass production of fertilized eggs by artificial insemination from captive-reared Pacific bluefin tuna (Thunnus orientalis)

https://doi.org/10.1016/j.aquaculture.2015.08.035Get rights and content

Highlights

  • An artificial insemination (AI) technique for Pacific bluefin tuna was developed.

  • Gametes for AI were acquired from commercially harvested fish.

  • Fertilized eggs obtained by AI were practicable for large-scale larviculture.

Abstract

Artificial insemination (AI) techniques for obtaining fertilized eggs from captive-reared ~ 3- to 4-year-old Pacific bluefin tuna (Thunnus orientalis) were developed. Gametes for AI were acquired from fish harvested from commercial offshore sea cages. Sperm was successfully obtained from almost all male fish, whereas the occurrence of ovulated eggs was relatively low. Therefore, the AI was dependent on the frequency of fish carrying ovulated eggs, which peaked at 6.09% of harvested fish between July 21 to 31, 2012 (17 of 279 fish examined). Using the collected sperm and ovulated eggs, AI was conducted seven times. In five cases the egg buoyancy and fertilization rates were > 85 and 70%, respectively. The total number of fertilized eggs obtained in each of these five AI trials ranged from 1.80 to 3.03 million. By contrast, a low AI success rate was observed in the other two cases, in which the fertilization rate was < 40%. Furthermore, the total number of fertilized eggs in these two trials was less than one million. The buoyant eggs obtained were transported to hatcheries for larval rearing. The hatching rate ranged from 43.6 to 64.3%, except for one case, in which the hatching rate was 26.1%. From 0.25 to 2.00 million larvae were acquired in each trial. These larvae were subsequently reared in large-scale larviculture tanks, resulting in the successful transfer of 1630–4410 fingerlings to offshore sea cages in each rearing trial. These results demonstrate that the fertilized eggs produced by this AI method are practicable for the production of Pacific bluefin fingerlings for commercial tuna aquaculture. Furthermore, this AI method will help streamline selective breeding programs for bluefin tuna.

Introduction

Owing to the high commercial value and increasing demand for bluefin tuna in the sashimi-sushi market, aquaculture industries have been developed for Atlantic bluefin tuna (Thunnus thynnus) in Mediterranean countries, southern bluefin tuna (Thunnus maccoyii) in Australia, and Pacific bluefin tuna (PBT) (Thunnus orientalis) in Mexico and Japan over the last decade (Miyake et al., 2010). However, these aquaculture industries are based on capture of wild tuna stocks, which can lead to depletion of those stocks. For a sustainable tuna farming industry, it is therefore necessary to establish a system in which the fish undergo their entire life cycle in captivity to reduce reliance on wild stocks.

Reproductive technologies under captive conditions are essential to develop viable full-life-cycle aquaculture. Fertilized eggs have been collected from captive-reared bluefin tuna species for larviculture to produce fingerlings. In Atlantic bluefin tuna, collection of the fertilized eggs from broodstock has been achieved at several farming sites in the Mediterranean Sea by spontaneous or hormone-induced spawning in rearing sea cages (Mylonas et al., 2010). Spawning of southern bluefin tuna has been reported under artificially controlled conditions in an onshore facility in Australia (Stehr, 2010). Reproduction of PBT in captivity has been studied in Japan over the last few decades. In 1979, Kinki University succeeded in achieving spontaneous spawning of sea cage-reared broodstock for the first time. Spontaneous PBT spawning has since been reported by several other research agencies and companies in Japan. These eggs have been used for research on larviculture technologies, and the full life-cycle was closed by Kinki University in 2002 (Masuma et al., 2008, Masuma et al., 2011, Sawada et al., 2005).

It is generally accepted that selective breeding for desirable traits is important for improving aquaculture productivity. An example of successful selective breeding is the increase in growth rate in red sea bream (Pagrus major), which is the major aquaculture species in Japan. The average body weight of 4-year-old broodstock increased 2.5 times and the average time to achieve the commercially desired size (1 kg) was shortened by 321 days by the selection for growth rate over six to seven generations (Murata et al., 1996). Similarly, genetic improvement by selection of commercially important traits has been reported in several other aquaculture species (Gjedrem and Baranski, 2009b). As with these other aquaculture species, a selective breeding program for bluefin tuna species is essential for further development of the bluefin farming industry.

Various technologies exist to determine genetically superior individuals in a fish population based on genetic and statistical applications. In addition, reproductive technologies help increase the efficiency of selective breeding. Artificial insemination (AI) is a fundamental technology for selective breeding because it allows design of various mating schemes (Nguyen et al., 2006). In bluefin tuna species, however, a technology for producing fertilized eggs by AI has yet to be established. One of the limiting factors for accomplishing AI in these species is that they are difficult to handle. Mature bluefin tuna are relatively large with very delicate skin, which can be easily damaged. Thus, handling the animals to collect sperm and ovulated eggs for AI can increase the risk of fatalities among the fish. Death of broodstock can lead to large economic losses, especially in the case of fish with high commercial value such as bluefin tuna. Because of this challenge, current artificial propagation of bluefin tuna species is totally dependent on one method that does not require touching the fish and involves collecting the fertilized eggs spawned in sea cages or onshore tanks (Partridge, 2013).

Handling fatalities are not usually a concern in standard aquaculture procedures because the fish are usually killed for use as a commercial product after being pulled from sea cages. For this reason, sea cage-harvested fish may be well suited for collection of gametes for AI. In the present study, therefore, we developed an AI method using gametes obtained from commercially harvested PBT to provide a new reproductive technology that could contribute to the development of effective breeding programs of bluefin tuna species.

Section snippets

Animals and rearing conditions

Commercially cultured PBT in standard procedures were used in this study. The fish were caught by purse seine in the western the Sea of Japan in June 2009. The mean fork length of the fish caught by this method was 55.1 ± 1.9 cm, and the mean estimated age calculated from the fork length, based on Itoh (2009), was 259.6 ± 32.4 days (0.7 ± 0.1 years) at the time of capture (± SD, n = 692). After a short rearing period (1–2 months) in adaptation sea cages set in the coastal area of the Tsushima Islands in

Results

We examined 2554 and 3817 harvested fish throughout the experimental periods in 2011 and 2012, respectively. The percentages of males and females, determined by random sampling, were 47.8 and 52.2%, respectively (n = 2454). Spermiation was observed in almost all of the harvested male fish (Fig. 2A, B), allowing sufficient semen to be collected in every trial. In addition, all of the sperm samples randomly selected from these fish showed high motility (n = 10 and 11 in 2011 and 2012, respectively),

Discussion

AI was successfully performed with PBT seven times in the present study. Consequently, sufficient fertilized eggs and hatched larvae were produced for large-scale larviculture in onshore tanks, and 1630–4410 fingerlings were successfully moved into offshore sea cages in each rearing trial. These results demonstrate that the fertilized eggs from this method are practicable for production of fingerlings to supply bluefin tuna aquaculture efforts.

There has been little study of the application of

Acknowledgments

The authors are grateful to the staff of Seinan Suisan Co. Ltd. for their assistance with maintenance and sampling of the fish. We also wish to thank the staff of Oita Marine Biological Technology Center for their useful advice and helpful discussion.

References (23)

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    Contributions of different spawning seasons to the stock of Pacific bluefin tuna Thunnus orientalis estimated from otolith daily increments and catch-at-length data of age-0 fish

    Nippon Suisan Gakkaishi

    (2009)
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    1

    Present address: Seinan Suisan Co. Ltd., 3620–8 Niinameura, Kamiura, Saiki, Oita 879–2603, Japan.

    2

    Present address: Kurose Suisan Co. Ltd., 2-15-4 Nishihama, Kushima, Miyazaki 888-0012, Japan.

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