Sensitivity to stress in the bivalve Macoma balthica from the most northern (Arctic) to the most southern (French) populations: low sensitivity in Arctic populations because of genetic adaptations?

Hummel, H.; Bogaards, R.H.; Bek, T A; Polishchuk, Leonard V.; Amiard‐Triquet, Claude; Bachelet, Guy; Desprez, Michel; Strelkov, Petr; Сухотин, А. А.; Naumov, Andrei; Dahle, S.; Denisenko, Stanislav G; Ганцевич, М. М.; Соколов, К. А.; Wolf, L. De

doi:10.1007/978-94-017-1907-0_13

Cited by 18 publications

(23 citation statements)

References 3 publications

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“…We suggest that specific estuarine conditions, supported by selection, favor some genotypes, thus decreasing overall genetic heterogeneity. In cases where species distribution is limited by extreme environmental conditions, it has been concluded that marginal populations express lower genetic variability than populations from the core of the species range [21,71]. Yet, we found a significant negative correlation between factorial variation with temperature, i.e., samples from the White Sea possessed relatively low factorial variation.…”

Section: The Factorial Component Of Total Phenotypic Variancecontrasting

confidence: 46%

“…The following explanations can be suggested. Marginal populations of mussels could be genetically adapted to harsh temperatures in the eastern Barents Sea, as was suggested for the clam Macoma balthica [21]. However no allozyme differences were recorded between the Pechora Sea samples and samples from other parts of the European range of M. edulis [17,72].…”

Section: Fluctuating Asymmetrymentioning

confidence: 99%

“…It has been hypothesized that further distribution of this boreal species northeastward is limited by temperature and/or temperature-dependent factors [17,21]. However, contrary to expectations, blue mussels at their northern range limit were found to have growth rates, maximal sizes, longevity, weight indices, and glycogen tissue content similar to conspecifics from the White Sea, the same as from the distributional center [17,22].…”

Section: Introductionmentioning

confidence: 99%

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Fluctuating and Directional Asymmetry of the Blue Mussel (Mytilus edulis): Improving Methods of Morphological Analysis to Explore Species Performance at the Northern Border of Its Range

et al. 2015

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Abstract:In this work we examined morphological variation at different levels to study performance and population structuring of the blue mussel Mytilus edulis. Our objectives were: (i) to develop an integrated technique for analyzing morphological variation in blue mussels and, based on this technique; (ii) to perform a morphometric description of mussels from the northern part of their range; and (iii) to verify the hypothesis that populations at the outer range of their distribution have reduced performance due to harsh climatic conditions. Means, directional asymmetry (i.e., systematic differences between left and right structures), fluctuating asymmetry (random deviations from perfect symmetry, a measure of developmental instability), factorial variation (difference between total variance and variance of fluctuating asymmetry, an indirect index of genotypic variation), and measurement error were examined for 14 bilateral characters of muscle scars on mussel shells. Also, we analyzed one non-bilateral character. For the first time directional asymmetry-approaching 13% of the right:left ratio-was described in blue mussels. Measurement error, often ignored in morphometric studies, contributed 26% of total variance. Accurately addressing these methodical challenges is key to further and improved ecological interpretations. Morphological differences were found between (i) samples from estuarine areas in the White and Pechora Seas and (ii) samples from Barents Sea areas with oceanic salinity. Samples from the first group exhibited lower OPEN ACCESSSymmetry 2015, 7 489 fluctuating asymmetry, indicating higher developmental stability likely due to better feeding conditions and lower factorial variation, which may result from lower genotypic variation. Absence of correlation between fluctuating asymmetry and temperature suggests that low temperatures in the northern border of their range do not degrade the performance of adult blue mussels in this region.

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Section: The Factorial Component Of Total Phenotypic Variancecontrasting

confidence: 46%

Section: Fluctuating Asymmetrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fluctuating and Directional Asymmetry of the Blue Mussel (Mytilus edulis): Improving Methods of Morphological Analysis to Explore Species Performance at the Northern Border of Its Range

et al. 2015

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“…Both populations exhibited a trend to display lower body weights and shallower burrow depths. Therefore, growth and performance were possibly affected by less favourable conditions at the margins of the distribution area, as also predicted by the performance capacity model (Schreck, 1981;Hummel et al, 1997b;Hummel, 2003). In this model performance is reflected by features like weight, growth, fitness, stress resistance and reproduction.…”

Section: Discussionmentioning

confidence: 73%

Oxygen limited thermal tolerance and performance in the lugworm Arenicola marina: A latitudinal comparison

Schröer

Wittmann

Grüner

et al. 2009

Journal of Experimental Marine Biology and Ecology

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Global warming trends in the marine environment currently lead to poleward shifts in the distribution of marine fauna along European coastlines indicating limited thermal tolerance of affected species and potential loss of their southernmost populations. The present study analyses the degree and limits of thermal specialisation in various populations of a key species of the intertidal zone, the lugworm Arenicola marina, which is exposed to highly fluctuating conditions in temperature, salinity, pH and oxygen levels during the seasonal as well as the tidal cycle. Thermal windows of tolerance and exercise performance were compared in three populations from the Russian White Sea, the German North Sea and the French Atlantic coast. Digging experiments in natural marine sediments quantified performance capacity and its optimum temperature. Temperature dependent ventilation and respiration were analysed in lugworms dwelling in artificial self-perfused burrows. Haemoglobin oxygen affinity was examined for an evaluation of population specific adaptations in the oxygen supply system. The results reflect a shift of both the thermal window and the thermal optimum towards higher temperatures with decreasing latitude. This shift was accompanied by a reduction of performance amplitude, i.e. the absolute number of digging periods, and a widening of the distance between critical temperatures, i.e. the total aerobic window of thermal tolerance.

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“…Macoma balthica (L.) has a distribution from arctic to temperate areas (Bachelet 1980, Beukema & Meehan 1985, Meehan et al 1989, Kuparinen et al 1996, Hummel et al 1997, Cederwall 1999. Populations from various locations around the world show genetic differentiation (Meehan et al 1989, Väinölä & Varvio 1989, Hummel et al 2000, Luttikhuizen et al 2003a, Väinölä 2003, Nikula et al 2007) and differences in shell characteristics (Beukema & Meehan 1985).…”

Section: Introductionmentioning

confidence: 99%

Predation by crustaceans on native and non-native Baltic clams

Ejdung

Flach²,

Byrén³

et al. 2009

Aquat. Biol.

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We studied the effect of crustacean predators on native/non-native Macoma balthica bivalves in aquarium experiments. North Sea M. balthica (NS Macoma) were recently observed in the southern Baltic Sea. They differ genetically and in terms of morphology, behaviour and evolutionary history from Baltic Sea M. balthica (BS Macoma), and this may affect predation pressure and community structure. We hypothesised that predators consume more of the prey they co-exist with. NS Macoma and BS Macoma were exposed to crustacean predators common in the North Sea (Carcinus maenas and Crangon crangon) and in the Baltic Sea (C. crangon and Saduria entomon). Contrary to our hypotheses, the North Sea predators ate more BS Macoma, and S. entomon ate more NS Macoma. The crush-limited C. maenas preyed more on globular BS Macoma, whereas S. entomon, which do not crush but pry open the bivalve shell, ate more NS Macoma, which have a lighter (thus probably thinner) shell than BS Macoma. When NS and BS Macoma were offered together, BS Crangon ate more NS Macoma. We also studied BS Crangon consumption of M. balthica to assess whether sizes offered fall within the size spectrum that C. crangon can eat. Small (20 to 40 mm long), medium (40 to 50 mm) and large (50 to 60 mm) C. crangon especially ate small M. balthica. Differences in shape, size and meat/shell weight ratio between the BS and NS Macoma partly explained the differences in the susceptibility to predation by native and non-native predators.

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Sensitivity to stress in the bivalve Macoma balthica from the most northern (Arctic) to the most southern (French) populations: low sensitivity in Arctic populations because of genetic adaptations?

Cited by 18 publications

References 3 publications

Fluctuating and Directional Asymmetry of the Blue Mussel (Mytilus edulis): Improving Methods of Morphological Analysis to Explore Species Performance at the Northern Border of Its Range

Fluctuating and Directional Asymmetry of the Blue Mussel (Mytilus edulis): Improving Methods of Morphological Analysis to Explore Species Performance at the Northern Border of Its Range

Oxygen limited thermal tolerance and performance in the lugworm Arenicola marina: A latitudinal comparison

Predation by crustaceans on native and non-native Baltic clams

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