The tunas could be called the 'ultimate teleosts'. They have a high percentage of muscle and a high percentage of that muscle is red muscle, the muscles are kept at above ambient temperatures by a counter current heat exchanger and the respiratory capabilities of these fish are accordingly high. The behavioral culmination of these characteristics is manifested in swimming speeds, which can be extraordinarily high, on a sustained, or a burst basis. One of the hottest and fastest tunas, the skipjack, was used in a study to determine (1) when each muscle is active (2) when and where the muscle heat is produced and (3) what the advantage of the hot musculature is to the animal. Evidence from E. H. , histological, enzyme and metabolite studies suggest that the red muscle is qualitatively quite typical although its aerobic capacity is somewhat above that of other teleost red muscles. The white muscle has truely astounding anaerobic capabilities, but also displays an aerobic capacity not usually found in teleost white muscle. Further examination of white muscle biochemical organization revealed a GP cycle which balances redox during the aerobic catabolism of glycogen and/or glucose. Both LDH (the terminal step in anaerobic glycolysis) and GPDH (the cytoplasmic arm of the GP cycle) are present in white muscle in high activities. Since these enzymes potentially compete for a common co-substrate, NADH, a tight control of these two enzymes seemed necessary to ensure mutual exclusive activity. Metabolite regulators of both enzymes were found which by affecting the ability of each enzyme to compete for NADH, channel carbon and hydrogen to lactate and C02 and H20 under anaerobic and aerobic conditions respectively. , The effect of temperature on metabolism was investigated and it is concluded that the stability rather than the absolute 'set point' of the body temperature is the more important feature. / Science, Faculty of / Zoology, Department of / Graduate

Thesis (Ph. D.)--University of California, San Diego, 1998. / Vita. Includes bibliographical references (p. 129-130).

Typescript. / Thesis (Ph. D.)--University of Hawaii, 1969. / Bibliography: leaves [136]-142. / ix, 142 l

Photocopy of typescript. / Bibliography: leaves 107-114. / ix, 114 leaves, bound ill. 28 cm

Tuna are the major marine fishery in Sri Lanka, and yellowfin tuna (YFT) (Thunnus albacares) and skipjack tuna (SJT) (Katsuwonus pelamis) represent 94% of all tuna caught. The tuna catch in Sri Lanka has increased rapidly over recent years and this is true generally for the Indian Ocean. Tuna are a major animal protein source for 20 million people in Sri Lanka, while marine fisheries provide the main income source for most Sri Lankan coastal communities. While the importance of the fishery will require effective stock management practices to be employed, to date no genetic studies have been undertaken to assess wild stock structure in Sri Lankan waters as a basis for developing effective stock management practices for tuna in the future. This thesis undertook such a genetic analysis of Sri Lankan T. albacares and K. pelamis stocks. Samples of both YFT and SJT were collected over four years (2001 - 2004) from seven fishing grounds around Sri Lanka, and also from the Laccadive and Maldive Islands in the western Indian Ocean. Partial mitochondrial DNA (mtDNA) ATPase 6 and 8 genes and nuclear DNA (nDNA) microsatellite variation were examined for relatively large samples of each species to document genetic diversity within and among sampled sites and hence to infer stock structure and dispersal behaviour. Data for YFT showed significant genetic differentiation for mtDNA only among specific sites and hence provided some evidence for spatial genetic structure. Spatial Analysis of Molecular Variance (SAMOVA) analysis suggests that three geographically meaningful YFT groups are present. Specifically, one group comprising a single site on the Sri Lankan west coast, a second group comprising a single site on the east coast and a third group of remaining sites around Sri Lanka and the Maldive Islands. Patterns of variation at nDNA loci in contrast, indicate extensive contemporary gene flow among all sites and reflect very large population sizes. For SJT, both mtDNA and nDNA data showed high levels of genetic differentiation among all sampling sites and hence evidence for extensive spatial genetic heterogeneity. MtDNA data also indicated temporal variation within sites, among years. As for YFT, three distinct SJT groups were identified with SAMOVA; The Maldive Islands in the western Indian Ocean comprising one site, a second group comprising a single site on the east coast and a third group of remaining sites around Sri Lanka and the Laccadive Islands. The mtDNA data analyses indicated two divergent (M^ = 1.85% ) SJT clades were present among the samples at all sample sites. SJT nDNA results support the inference that multiple 'sub populations' co-exist at all sample sites, albeit in different frequencies. It appears that variation in the relative frequencies of each clade per site accounts for much of the observed genetic differentiation among sites while effective populations remain extremely large. Based on combined data sets for management purposes therefore, there is no strong evidence in these data to indicate that more than a single YFT stock is present in Sri Lankan waters. For SJT however, evidence exists for two divergent clades that are admixed but not apparently interbreeding around Sri Lanka. The identity of spawning grounds of these two clades is currently unknown but is likely to be geographically distant from Sri Lanka. Spawning grounds of the two distinct SJT clades should be identified and conserved.

Understanding the life history of a species is essential for fully understanding its role within an ecosystem. However, many of the fish species of high ecological value have not been studied due to their less prominent roles in local recreational and commercial fisheries in comparison to other targeted species. This study describes the age and growth patterns of three small tuna species inhabiting South Florida waters: blackfin tuna Thunnus atlanticus, little tunny Euthynnus alletteratus, and skipjack tuna Katsuwonus pelamis. Tuna specimens were collected via donations obtained from various fishing tournaments and charter captains in the areas of the Florida Straits as well as hook-and-line by the Nova Southeastern University Oceanographic Center. Age was described via sagittal otolith deposition patterns. They were removed, dried, sectioned, and rings were counted as well as measured. Validation of the timing of ring deposits was done by marginal increment analysis. Growth parameters were determined by comparison of fish fork length to count measurements. This comparison via the Von Bertalanffy growth equation produced a growth rate for each species: blackfin, L∞ = 95.34 cm, K = 0.28, and t0 = -1.53; little tunny, L∞ = 77.93 cm, K = 0.69, and t0 = -0.69; and skipjack, L∞ = 112.76 cm, K = 0.24, and t0 = -1.70. The curves indicate an average size of an individual of a given species at a certain age. They also give an estimation of a maximum length (L∞) of each species, in addition to specific growth rate, which is indicated by the slope. Parameters of each resulting Von Bertalanffy equation were compared among species. Results were also compared with growth rates currently used in stock assessments by fisheries management organizations, such as the International Commission for the Conservation of Atlantic Tunas (ICCAT).

Le thon obèse (Thunnus obesus), le thon alabore (Thunnus albacares) et le listao (Katsuwonus pelamis) comptent parmi les espèces de thons les plus utilisées en conserve. Lors de la fabrication de conserves de thon, la substitution d'espèce et/ou le mélange de différentes espèces de thon sont interdits par la réglementation européenne. L'authentification des espèces de thon reste complexe à cause du degré de similitude élevé entre les espèces de thon, ou encore, lorsque les caractéristiques morphologiques externes sont éliminées au cours du filetage et lors de la mise en conserve. Par conséquent, des substitutions involontaires ou frauduleuses peuvent se produire. Dans cette étude, le marqueur mitochondrial du gène de la sous-unité 2 de la NADH déshydrogénase a été utilisé pour identifier le thon obèse et le gène de la sous-unité II de la cytochrome c oxydase a été utilisé pour identifier le thon albacore et le listao en utilisant la PCR en temps réel basée sur la technologie TaqMan. Deux méthodes différentes basées sur la qPCR ont été développées pour quantifier le pourcentage de chair de chaque espèce présente au sein d'une boîte de thon. La première a été basée sur la quantification absolue avec standard externe réalisée avec les deux marqueurs. La seconde a été basée sur la quantification relative avec standard externe avec le gène endogène de l'ARN 12S. Sur la base de ces résultats, nous pouvons conclure que notre méthode peut s'appliquer pour quantifier les deux espèces de thon albacore et obèse génétiquement très proches lorsqu'elles sont utilisées dans un mélange binaire en conserve. / Bigeye tuna (Thunnus obesus), yellowfin tuna (Thunnus albacares) and skipjack tuna (Katsuwonus pelanis) are among the most widely used tuna species for canning purposes. Not only substitution but also mixing of tuna species is prohibited by the European regulation for canned tuna products. However, it can be difficult to authenticate the tuna species, due to their high degree of similarity or even when the external morphological characteristics are removed due to filleting before canning. Consequently, involuntary or fraudulent substitutions may occur during the canning process. In this study, the mitochondrial marker from NADH dehydrogenase subunit 2 gene was used to identify bigeye tuna and the mitochondrial marker cytochrome c oxidase subunit II gene was used to identify yellowfin tuna and skipjack tuna, utilizing TaqMan qPCR methodology. Two different qPCR-based methods were developed to quantify the percentage of flesh of each species used for can processing. The first one was based on absolute quantification using standard curves realized with these two markers ; the second one was founded on relative quantification with the universal 12S rRNA gene as the endogenous gene. On the basis of our results, we conclude that our methodology could be applied to authenticate the two closely related tuna species (bigeye tuna and yellowfin tuna) when used in a binary mix in tuna cans.