Mortality Variations in Natural Populations of the Blue Mussel, Mytilus edulis

1987 ◽  
Vol 44 (9) ◽  
pp. 1589-1594 ◽  
Author(s):  
A. L. Mallet ◽  
C. E. A. Carver ◽  
S. S. Coffen ◽  
K. R. Freeman

To investigate environmental and seasonal patterns of mortality among natural populations of the blue mussel, Mytilus edulis, we transplanted 11 stocks of juvenile mussels to nine sites along the coast of Nova Scotia, Canada. Stock, Stock by Site, and Stock by Season together accounted for 53% of the variance in mortality whereas Site and Season together explained less than 1% of the variance. Genetic variability among stocks was inferred from differences in their cumulative mortality averaged over all environments. Several stocks, however, exhibited similar levels of mortality over all sites and were apparently insensitive to the environmental gradient. This implies physiological flexibility or the ability to tolerate a wide range of environmental conditions. We conclude that the blue mussel adapts to variable environments by maintaining both physiologically flexible and genetically variable populations. In addition, we noted that stocks originating from more stressful environments tended to exhibit lower mortalities than those originating from less stressful environments.

1989 ◽  
Vol 46 (7) ◽  
pp. 1154-1159 ◽  
Author(s):  
A. L. Mallet ◽  
C. E. A. Carver

Juveniles (17–26 mm) from 11 natural populations of the blue mussel Mytilus edulis were each transplanted to nine sites along the coast of Nova Scotia, Canada. Production was determined from the growth and mortality profiles of each stock over the period from November 1985 to December 1986. Stock and stock by season explained 26.6% of the variance in production whereas site and site by season accounted for 24.1%. Stock and its interactions explained most of the variance in mortality, while site and its interactions were more important in explaining the variance in growth. Growth, rather than mortality, was the primary determinant of production.


Genetics ◽  
2004 ◽  
Vol 166 (2) ◽  
pp. 883-894
Author(s):  
Liqin Cao ◽  
Ellen Kenchington ◽  
Eleftherios Zouros

Abstract In Mytilus, females carry predominantly maternal mitochondrial DNA (mtDNA) but males carry maternal mtDNA in their somatic tissues and paternal mtDNA in their gonads. This phenomenon, known as doubly uniparental inheritance (DUI) of mtDNA, presents a major departure from the uniparental transmission of organelle genomes. Eggs of Mytilus edulis from females that produce exclusively daughters and from females that produce mostly sons were fertilized with sperm stained with MitoTracker Green FM, allowing observation of sperm mitochondria in the embryo by epifluorescent and confocal microscopy. In embryos from females that produce only daughters, sperm mitochondria are randomly dispersed among blastomeres. In embryos from females that produce mostly sons, sperm mitochondria tend to aggregate and end up in one blastomere in the two- and four-cell stages. We postulate that the aggregate eventually ends up in the first germ cells, thus accounting for the presence of paternal mtDNA in the male gonad. This is the first evidence for different behaviors of sperm mitochondria in developing embryos that may explain the tight linkage between gender and inheritance of paternal mitochondrial DNA in species with DUI.


Genetics ◽  
2000 ◽  
Vol 156 (1) ◽  
pp. 457-467 ◽  
Author(s):  
Z W Luo ◽  
S H Tao ◽  
Z-B Zeng

Abstract Three approaches are proposed in this study for detecting or estimating linkage disequilibrium between a polymorphic marker locus and a locus affecting quantitative genetic variation using the sample from random mating populations. It is shown that the disequilibrium over a wide range of circumstances may be detected with a power of 80% by using phenotypic records and marker genotypes of a few hundred individuals. Comparison of ANOVA and regression methods in this article to the transmission disequilibrium test (TDT) shows that, given the genetic variance explained by the trait locus, the power of TDT depends on the trait allele frequency, whereas the power of ANOVA and regression analyses is relatively independent from the allelic frequency. The TDT method is more powerful when the trait allele frequency is low, but much less powerful when it is high. The likelihood analysis provides reliable estimation of the model parameters when the QTL variance is at least 10% of the phenotypic variance and the sample size of a few hundred is used. Potential use of these estimates in mapping the trait locus is also discussed.


2021 ◽  
Vol 167 ◽  
pp. 112295
Author(s):  
Amina Khalid ◽  
Aurore Zalouk-Vergnoux ◽  
Samira Benali ◽  
Rosica Mincheva ◽  
Jean-Marie Raquez ◽  
...  
Keyword(s):  

1984 ◽  
Vol 11 (4) ◽  
pp. 253-274 ◽  
Author(s):  
A. Calabrese ◽  
J.R. MacInnes ◽  
D.A. Nelson ◽  
R.A. Greig ◽  
P.P. Yevich
Keyword(s):  

2018 ◽  
Vol 137 ◽  
pp. 638-645 ◽  
Author(s):  
Madelyn N. Woods ◽  
Margaret E. Stack ◽  
David M. Fields ◽  
Susan D. Shaw ◽  
Patricia A. Matrai
Keyword(s):  

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