Genetics and the study of fisheries connectivity in Asian developing countries

Ablan, M.C.A.

doi:10.1016/j.fishres.2006.02.006

Cited by 14 publications

(5 citation statements)

References 55 publications

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“…Though not an absolute deciding factor in delineating subpopulations among organisms, identifying an organism’s genetic stock structure has become a key in determining other equally important factors like gene flow, migration and dispersal with which a stock may be concretely determined. Specifically, these genetic markers can provide hints on the connectivity of stocks of marine organisms that can be further used in designing and redesigning sustainable management strategies [ 33 ]. Studies have been conducted over the years to look into the stock structure of tunas, one of the most important marine stocks, in ocean basins worldwide, employing different methods including allozymes [ 34 , 35 ], restriction fragment length polymorphism (RFLP) markers [ 8 , 36 , 37 ], mitochondrial DNA markers [ 9 , 38 – 40 ] and microsatellite markers [ 10 , 41 ].…”

Section: Discussionmentioning

confidence: 99%

Distinct Yellowfin Tuna (Thunnus albacares) Stocks Detected in Western and Central Pacific Ocean (WCPO) Using DNA Microsatellites

Aguila

Perez²,

Catacutan

et al. 2015

PLoS ONE

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The yellowfin tuna, Thunnus albacares (Bonnaterre, 1788), covers majority of the Philippines’ tuna catch, one of the major fisheries commodities in the country. Due to its high economic importance sustainable management of these tunas has become an imperative measure to prevent stock depletion. Currently, the Philippine yellowfin tuna is believed to be part of a single stock of the greater WCPO though some reports suggest otherwise. This study therefore aims to establish the genetic stock structure of the said species in the Philippines as compared to Bismarck Sea, Papua New Guinea using nine (9) DNA microsatellite markers.DNA microsatellite data revealed significant genetic differentiation between the Philippine and Bismarck Sea, Papua New Guinea yellowfin tuna samples. (FST = 0.034, P = 0.016), which is further supported by multilocus distance matrix testing (PCoA) and model-based clustering (STRUCTURE 2.2).With these findings, this study posits that the yellowfin tuna population in the Philippines is a separate stock from the Bismarck Sea population. These findings add evidence to the alternative hypothesis of having at least 2 subpopulations of yellowfin tuna in the WCPO and calls for additional scientific studies using other parameters to investigate this. Accurate population information is necessary in formulating a more appropriate management strategy for the sustainability of the yellowfin tuna not only in the Philippines but also in the WCPO.

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Section: Discussionmentioning

confidence: 99%

Distinct Yellowfin Tuna (Thunnus albacares) Stocks Detected in Western and Central Pacific Ocean (WCPO) Using DNA Microsatellites

Aguila

Perez²,

Catacutan

et al. 2015

PLoS ONE

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“…Divergence in Western Indonesia.-The first major category of barriers were observed in A. thazard, K. pelamis, R. kanagurta, and S. commerson. similar phylogeographic breaks have been observed in both sessile and motile invertebrates (barber et al 2002, 2006, Deboer et al 2008, Kochzius and Nuryanto 2008, Vogler et al 2008, as well as in damselfish, sygnathids, and caesionids (Lourie et al 2005, timm et al 2008, Drew and barber 2009, Leray et al 2010, Ackiss et al 2013. Divergence of western Indonesian demes including Medan, Nias, and Aceh has likely resulted from reduced pelagic marine habitats, exposure of the sunda shelf during Pleistocene low sea stands, as well as the cooling of surface water temperatures facilitated by upwelling (Fleminger 1986, springer andWilliams 1990).…”

Section: Evidence Of Barriers To Dispersal In Indonesian Pelagic Fishesmentioning

confidence: 59%

Phylogeography of commercial tuna and mackerel in the Indonesian Archipelago

Jackson¹,

Ambariyanto²,

Erdmann³

et al. 2014

BMS

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While numerous population genetics studies have investigated phylogeographic patterns of coral reef organisms in the coral triangle, few have addressed whether fishes in the pelagic environment exhibit concordant patterns of genetic subdivision. We analyzed approximately 400 base pairs of the mitochondrial control region to compare population structure and phylogeography of five pelagic tuna and mackerel within a subset of their geographic ranges (i.e., the Indonesian Archipelago). Focal species include frigate tuna [Auxis thazard (Lacépède, 1800)], kawakawa [Euthynnus affinis (cantor, 1849)], skipjack tuna [Katsuwonus pelamis (Linnaeus, 1758)], Indian mackerel [Rastrelliger kanagurta (cuvier, 1816)], and narrow-barred spanish mackerel [Scomberomorus commerson (Lacépède, 1800)]. Observed patterns of regional genetic subdivision were consistent with the role of Pleistocene vicariance in structuring populations. Divergence dates of all pelagic fish lineages dated to the Pleistocene epoch. concordant barriers to larval dispersal found near sumatra, sulawesi, and Papua suggested that the Halmahera and Mindanao eddies and the Indonesian flowthrough may be contemporary forces maintaining genetic divergence between demes of pelagic fishes. Given the economic importance of these species, we suggest that the scale of management for pelagics in Indonesia be re-evaluated to reflect regional differences in the genetic composition of fishes.

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“…Perrin and Borsa [98] demonstrated an apparent population break between Sulawesi and Borneo with the nearshore pelagic Indian Scad, Decapterus russelli ( Figure 2), but the only sample site in eastern Indonesia was on northwestern Sulawesi. Ablan [99] suggested four separate management units based on population data from Dascyllus trimaculatus [82] and Thalossoma hardwickii [83] (Figure 2). Timm et al [55] tested connectivity with the False Clown Anemonefish, Amphiprion ocellaris, and found population breaks corresponding to the southern Sunda Shelf Barrier, easternmost Indonesia, and a broad north−south break ( Figure 2).…”

Section: Fish Phylogeographic Patternmentioning

confidence: 99%

“…Several of the recent invertebrate studies are part of coordinated efforts to intensely sample multiple codistributed taxa across Indonesia [29,30,[33][34][35], while others focus sampling more widely across the Pacific and Indian Oceans [32,34,38]. In contrast, fish sampling in the Coral Triangle has largely been restricted to a specific region in the Philippines or in Indonesia [86,98] has been widespread across Southeast Asia but with uneven sample coverage either within Indonesia or within the Philippines [55,85,99], or corresponds to a wide Indo−Pacific coverage [84,87]. The varied levels of concordance between different sampling programs highlights the importance of systematic sampling of multiple species across broad spatial scales in order to accurately identify phylogeographic boundaries in this region.…”

Section: Sunda Shelfmentioning

confidence: 99%

Comparative Phylogeography of the Coral Triangle and Implications for Marine Management

Carpenter

Barber

Crandall

et al. 2011

Journal of Marine Biology

202

212

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Extreme concentration of marine biodiversity and exploitation of marine resources in the Coral Triangle pose challenges to biogeographers and resource managers. Comparative phylogeography provides a powerful tool to test biogeographic hypotheses evoked to explain species richness in the Coral Triangle. It can also be used to delineate management units for marine resources. After about a decade of phylogeographical studies, patterns for the Coral Triangle are emerging. Broad connectivity in some species support the notion that larvae have maintained gene flow among distant populations for long periods. Other phylogeographic patterns suggest vicariant events resulting from Pleistocene sea level fluctuations, which have, at least occasionally, resulted in speciation. Divergence dates ranging back to the Miocene suggest that changing land configurations may have precipitated an explosion of species diversification. A synthesis of the marine phylogeographic studies reveals repeated patterns that corroborate hypothesized biogeographic processes and suggest improved management schemes for marine resources.

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Genetics and the study of fisheries connectivity in Asian developing countries

Cited by 14 publications

References 55 publications

Distinct Yellowfin Tuna (Thunnus albacares) Stocks Detected in Western and Central Pacific Ocean (WCPO) Using DNA Microsatellites

Distinct Yellowfin Tuna (Thunnus albacares) Stocks Detected in Western and Central Pacific Ocean (WCPO) Using DNA Microsatellites

Phylogeography of commercial tuna and mackerel in the Indonesian Archipelago

Comparative Phylogeography of the Coral Triangle and Implications for Marine Management

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