The use of vertebral counts to discriminate between North Sea herring stocks

Hulme, T. J.

doi:10.1006/jmsc.1995.0074

Cited by 19 publications

(12 citation statements)

References 5 publications

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“…Herring in the Baltic have also been shown to differ regionally in their weight, length, number of vertebrae, and number of pectoral fin rays (Parmanne ). This morphological variation may reflect phenotypic plasticity due to different environmental conditions during development (see Hulme ; Casini et al. ), but the possibility that it reflects adaptive genetic differentiation can also not currently be rejected.…”

Section: Discussionmentioning

confidence: 99%

Oceanographic connectivity and environmental correlates of genetic structuring in Atlantic herring in the Baltic Sea

Teacher

André

Jonsson

et al. 2013

Evolutionary Applications

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Marine fish often show little genetic structuring in neutral marker genes, and Atlantic herring (Clupea harengus) in the Baltic Sea are no exception; historically, very low levels of population differentiation (F ST % 0.002) have been found, despite a high degree of interpopulation environmental heterogeneity in salinity and temperature. Recent exome sequencing and SNP studies have however shown that many loci are under selection in this system. Here, we combined population genetic analyses of a large number of transcriptome-derived microsatellite markers with oceanographic modelling to investigate genetic differentiation and connectivity in Atlantic herring at a relatively fine scale within the Baltic Sea. We found evidence for weak but robust and significant genetic structuring (F ST = 0.008) explainable by oceanographic connectivity. Genetic differentiation was also associated with site differences in temperature and salinity, with the result driven by the locus Her14 which appears to be under directional selection (F ST = 0.08). The results show that Baltic herring are genetically structured within the Baltic Sea, and highlight the role of oceanography and environmental factors in explaining this structuring. The results also have implications for the management of herring fisheries, the most economically important fishery in the Baltic Sea, suggesting that the current fisheries management units may be in need of revision.

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Section: Discussionmentioning

confidence: 99%

Oceanographic connectivity and environmental correlates of genetic structuring in Atlantic herring in the Baltic Sea

Teacher

André

Jonsson

et al. 2013

Evolutionary Applications

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show abstract

“…It should, however, also be noted that salinity and temperature during early ontogeny influence at least two of the meristic traits typically used to discriminate herring populations, i.e. the number of vertebrae and pectoral fin rays (Parmanne 1990; Hognestad 1995; Hulme 1995). Thus, whether the morphometric and meristic differences observed are purely environmental in origin or are partially inherited, can best be ascertained by, e.g.…”

Section: Discussionmentioning

confidence: 99%

Marine landscapes and population genetic structure of herring (Clupea harengus L.) in the Baltic Sea

Jørgensen¹,

Hansen²,

Bekkevold³

et al. 2005

Molecular Ecology

202

196

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Numerically small but statistically significant genetic differentiation has been found in many marine fish species despite very large census population sizes and absence of obvious barriers to migrating individuals. Analyses of morphological traits have previously identified local spawning groups of herring (Clupea harengus L.) in the environmentally heterogeneous Baltic Sea, whereas allozyme markers have not revealed differentiation. We analysed variation at nine microsatellite loci in 24 samples of spring-spawning herring collected at 11 spawning locations throughout the Baltic Sea. Significant temporal differentiation was observed at two locations, which we ascribe to sympatrically spawning but genetically divergent 'spawning waves'. Significant differentiation was also present on a geographical scale, though pairwise F(ST) values were generally low, not exceeding 0.027. Partial Mantel tests showed no isolation by geographical distance, but significant associations were observed between genetic differentiation and environmental parameters (salinity and surface temperature) (0.001 < P < or = 0.099), though these outcomes were driven mainly by populations in the southwestern Baltic Sea, which also exhibits the steepest environmental gradients. Application of a novel method for detecting barriers to gene flow by combining geographical coordinates and genetic differentiation allowed us to identify two zones of lowered gene flow. These zones were concordant with the separation of the Baltic Sea into major basins, with environmental gradients and with differences in migration behaviour. We suggest that similar use of landscape genetics approaches may increase the understanding of the biological significance of genetic differentiation in other marine fishes.

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“…As sprat rarely grow >15 cm they reach sexual maturity, and hence have high levels of energy density, at a much smaller length than herring (Hislop et al, 1991a). However, in the North Sea there are three main stocks of herring that spawn at different times and locations (Hulme, 1995). Further, the North Sea Skagerrak area comprises both immature autumn spawners from the North Sea and mature spring spawners from the Baltic and Skagerrak-Kattegat (Moksness & Fossum, 1991).…”

Section: Discussionmentioning

confidence: 99%

Seasonal variations in the energy density of fishes in the North Sea

Pedersen¹,

Hislop

2001

Journal of Fish Biology

100

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The energy density (E D , kJ g 1 wet mass) of saithe Pollachius virens, haddock Melanogrammus aeglefinus, whiting Merlangius merlangus, Norway pout Trisopterus esmarki, herring Clupea harengus, sprat Sprattus sprattus, sandeel Ammodytes marinus and pearlsides Maurolicus Muelleri, from the North Sea, increased with total length, L T . However, there was not always a significant (P>0·05) linear relationship between L T and E D . Seasonal differences in E D were obvious in mature fish, while geographical differences were insignificant. For all species there was a highly significant correlation (P<0·0001) between the percent dry mass of the fish (D S ) and E D . A general relationship was established for gadoids and sandeel E D = 3·1492+0·3459 D S and herring E D = 4·6395+0·4170 D S . Thus seasonal and size-specific data on E D needed for bioenergetics and gastric evacuation models can be determined simply from D S , which is considerably less costly and time consuming than calorimetry or proximate analysis. 2001 The Fisheries Society of the British Isles

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The use of vertebral counts to discriminate between North Sea herring stocks

Cited by 19 publications

References 5 publications

Oceanographic connectivity and environmental correlates of genetic structuring in Atlantic herring in the Baltic Sea

Oceanographic connectivity and environmental correlates of genetic structuring in Atlantic herring in the Baltic Sea

Marine landscapes and population genetic structure of herring (Clupea harengus L.) in the Baltic Sea

Seasonal variations in the energy density of fishes in the North Sea

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