Bonjour, ceci est un commentaire. Pour supprimer un commentaire, connectez-vous et affichez les commentaires de cet article. Vous pourrez alors…
S. Launey, F. Krieg, J. Morin, and J. Laroche, “Five new microsatellite markers for northern pike (Esox lucius),” Molecular Ecology Notes, Vol. 3, No. 3, pp. 366–368, September 2003.
- Listed: 28 July 2026 4 h 52 min
Description
S. Launey, F. Krieg, J. Morin, and J. Laroche, “Five new microsatellite markers for northern pike (Esox lucius),” Molecular Ecology Notes, Vol. 3, No. 3, pp. 366–368, September 2003.
**S. Launey, F. Krieg, J. Morin, and J. Laroche, “Five new microsatellite markers for northern pike (Esox lucius),” Molecular Ecology Notes, Vol. 3, No. 3, pp. 366–368, September 2003.**
When a scientific citation becomes the headline of a blog post, it’s a clear signal that the paper behind it has sparked a wave of interest—especially in the world of fish genetics and conservation. The 2003 article by Launey, Krieg, Morin, and Laroche introduced **five new microsatellite markers** specifically designed for *Esox lucius*, commonly known as the northern pike. Though the citation itself is dense with bibliographic detail, the real story is how these markers revolutionized studies of this charismatic, but sometimes contentious, freshwater predator.
—
### Why Microsatellite Markers Matter
Microsatellites—short, repeating DNA sequences scattered throughout the genome—are the gold standard for population genetic studies. Their high mutation rate produces a wealth of polymorphism, enabling researchers to track gene flow, assess genetic diversity, and identify distinct populations with precision. In 2003, the first set of reliable markers for northern pike was a major breakthrough. Prior to this work, scientists were hampered by limited or poorly characterized loci, which made it difficult to compare datasets across studies or to monitor the genetic health of pike stocks in different watersheds.
The five markers detailed in the paper were rigorously tested for polymorphism, reproducibility, and ease of amplification. They offered researchers a toolbox for **molecular ecology** investigations that ranged from stock identification to hybridization studies with closely related species like the muskellunge (*Esox masquinongy*). The publication quickly became a cornerstone reference for anyone working with pike genetics, as indicated by the steady stream of citations it has accumulated over the past two decades.
—
### Impact on Conservation and Fisheries Management
Northern pike is both a prized sport fish and a species of ecological concern. In some regions, it is overfished, while in others it poses a threat to native trout populations. By providing robust genetic markers, the 2003 study enabled fisheries managers to:
1. **Track Population Structure**: Distinguishing between isolated lakes and connected river systems helps determine where conservation resources should be focused.
2. **Detect Hybridization**: Pikes can hybridize with other Esox species, leading to genetic introgression that can alter ecosystem dynamics.
3. **Assess Genetic Diversity**: Low diversity signals a potential bottleneck, prompting targeted breeding or restocking programs.
The markers’ applicability has also extended beyond the United States. European researchers leveraged the same loci to evaluate pike populations in the Baltic Sea and the Danube River, facilitating international collaboration on transboundary fish management.
—
### A Legacy of Continued Innovation
While newer genotyping technologies—such as SNP arrays and whole-genome sequencing—have emerged, microsatellites remain a cost-effective and accessible tool, particularly in regions with limited funding. The Launey et al. paper laid the groundwork for subsequent marker development, and many modern pike studies still reference its loci. Additionally, the methodological framework introduced in the paper—combining fluorescent labeling with capillary electrophoresis—has been adapted for other species, underscoring the paper’s influence across the field of **freshwater fish genetics**.
—
### Where to Go From Here
For researchers new to fish genetics, the 2003 article serves as a gateway into the intricacies of marker development. Graduate students can replicate the protocols to explore local pike populations, while conservation biologists can integrate these markers into monitoring programs. If you’re a hobbyist interested in the genetics of your catch, consider how this foundational work has enabled more informed decision-making about stocking, habitat restoration, and the long-term viability of *Esox lucius* populations.
In short, the citation “S. Launey, F. Krieg, J. Morin, and J. Laroche, ‘Five new microsatellite markers for northern pike (Esox lucius),’” is more than a reference; it is a testament to the enduring power of molecular tools to unlock the secrets of one of freshwater ecosystems’ most iconic species.
13 total views, 3 today
Sponsored Links
P. Claverie, D. Szpiro and R. Topol, “Identification des modèles à fonction...
P. Claverie, D. Szpiro and R. Topol, “Identification des modèles à fonction de transfert: La méthode Padé-transformée en z,” Annales D’Economie et de Statistique, Vol. […]
No views yet
K. Lii, “Transfer function model order and parameter estimation,” Journal o...
K. Lii, “Transfer function model order and parameter estimation,” Journal of Time Series Analysis, Vol. 6, No. 3, pp. 153–169, 1985. **”Transfer function model order […]
No views yet
G. M. Jenkins and A. S. Alavi, “Some aspects of modelling and forecasting m...
G. M. Jenkins and A. S. Alavi, “Some aspects of modelling and forecasting multivariate time series,” Journal of Time Series Analysis, Vol. 2, pp. 1–47, […]
1 total views, 1 today
J. M. Beguin, C. Gourieroux and A. Monfort, “Identification of a mixed auto...
J. M. Beguin, C. Gourieroux and A. Monfort, “Identification of a mixed autoregressive-moving average process: The corner method,” In Time Series, O. D. Anderson, Ed., […]
1 total views, 1 today
H. M. Xie, C. Wang, X. C. Li, and Y. Y. Ou, “An empirical research of influ...
H. M. Xie, C. Wang, X. C. Li, and Y. Y. Ou, “An empirical research of influencing technical innovation’s factor,” Studies in science of science, […]
1 total views, 1 today
S. W. Chou, “Computer systems to facilitating organizational learning: IT a...
S. W. Chou, “Computer systems to facilitating organizational learning: IT and organizational context,” Expert Systems with Applications, Vol. 24, pp. 273–280, 2003. None
1 total views, 1 today
A. M. Jaeger and B. R. Baliga, “Control systems and strategic adaption: Les...
A. M. Jaeger and B. R. Baliga, “Control systems and strategic adaption: Lessons from the Japanese experience,” Strategic Management Journal, Vol. 6, pp. 115– 134, […]
No views yet
L. J. Cronbach, “Coefficient alpha and the internal structure of tests,” Ps...
L. J. Cronbach, “Coefficient alpha and the internal structure of tests,” Psychometrika, Vol. 16, No. 3, pp. 297– 334, 1951. **Coefficient Alpha and the Internal […]
1 total views, 1 today
J. F. Hair, R. E. Anderson, R. L. Tatham, and B. J. Grablowsky, “Multivaria...
J. F. Hair, R. E. Anderson, R. L. Tatham, and B. J. Grablowsky, “Multivariate data analysis,” Tulsa, OK: PPC Books, 1979. None
No views yet
J. L. Price and C. W. Mueller, “Handbook of organizational measurement,” Ma...
J. L. Price and C. W. Mueller, “Handbook of organizational measurement,” Marshfield, MA: Pitman Publishing Inc. 1986. **“J. L. Price and C. W. Mueller, “Handbook […]
1 total views, 1 today
P. Claverie, D. Szpiro and R. Topol, “Identification des modèles à fonction...
P. Claverie, D. Szpiro and R. Topol, “Identification des modèles à fonction de transfert: La méthode Padé-transformée en z,” Annales D’Economie et de Statistique, Vol. […]
No views yet
K. Lii, “Transfer function model order and parameter estimation,” Journal o...
K. Lii, “Transfer function model order and parameter estimation,” Journal of Time Series Analysis, Vol. 6, No. 3, pp. 153–169, 1985. **”Transfer function model order […]
No views yet
G. M. Jenkins and A. S. Alavi, “Some aspects of modelling and forecasting m...
G. M. Jenkins and A. S. Alavi, “Some aspects of modelling and forecasting multivariate time series,” Journal of Time Series Analysis, Vol. 2, pp. 1–47, […]
1 total views, 1 today
J. M. Beguin, C. Gourieroux and A. Monfort, “Identification of a mixed auto...
J. M. Beguin, C. Gourieroux and A. Monfort, “Identification of a mixed autoregressive-moving average process: The corner method,” In Time Series, O. D. Anderson, Ed., […]
1 total views, 1 today
H. M. Xie, C. Wang, X. C. Li, and Y. Y. Ou, “An empirical research of influ...
H. M. Xie, C. Wang, X. C. Li, and Y. Y. Ou, “An empirical research of influencing technical innovation’s factor,” Studies in science of science, […]
1 total views, 1 today
S. W. Chou, “Computer systems to facilitating organizational learning: IT a...
S. W. Chou, “Computer systems to facilitating organizational learning: IT and organizational context,” Expert Systems with Applications, Vol. 24, pp. 273–280, 2003. None
1 total views, 1 today
A. M. Jaeger and B. R. Baliga, “Control systems and strategic adaption: Les...
A. M. Jaeger and B. R. Baliga, “Control systems and strategic adaption: Lessons from the Japanese experience,” Strategic Management Journal, Vol. 6, pp. 115– 134, […]
No views yet
L. J. Cronbach, “Coefficient alpha and the internal structure of tests,” Ps...
L. J. Cronbach, “Coefficient alpha and the internal structure of tests,” Psychometrika, Vol. 16, No. 3, pp. 297– 334, 1951. **Coefficient Alpha and the Internal […]
1 total views, 1 today
J. F. Hair, R. E. Anderson, R. L. Tatham, and B. J. Grablowsky, “Multivaria...
J. F. Hair, R. E. Anderson, R. L. Tatham, and B. J. Grablowsky, “Multivariate data analysis,” Tulsa, OK: PPC Books, 1979. None
No views yet
J. L. Price and C. W. Mueller, “Handbook of organizational measurement,” Ma...
J. L. Price and C. W. Mueller, “Handbook of organizational measurement,” Marshfield, MA: Pitman Publishing Inc. 1986. **“J. L. Price and C. W. Mueller, “Handbook […]
1 total views, 1 today
Recent Comments