Spatial genetic structure of northern pike (Esox lucius) in the Baltic Sea.

Mol Ecol

Division of Population Genetics, Department of Zoology, Stockholm University, S-106 91 Stockholm, Sweden.

Published: June 2005

The genetic relationships among 337 northern pike (Esox lucius) collected from the coastal zone of the central Baltic region and the Finnish islands of Aland were analysed using five microsatellite loci. Spatial structure was delineated using both traditional F-statistics and individually based approaches including spatial autocorrelation analysis. Our results indicate that the observed genotypic distribution is incompatible with that of a single, panmictic population. Isolation by distance appears important for shaping the genetic structure of pike in this region resulting in a largely continuous genetic change over the study area. Spatial autocorrelation analysis (Moran's I) of individual pairwise genotypic data show significant positive genetic correlation among pike collected within geographical distances of less than c. 100-150 km (genetic patch size). We suggest that the genetic patch size may be used as a preliminary basis for identifying management units for pike in the Baltic Sea.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1365-294X.2005.02570.xDOI Listing

Publication Analysis

Top Keywords

genetic structure
8
northern pike
8
pike esox
8
esox lucius
8
baltic sea
8
spatial autocorrelation
8
autocorrelation analysis
8
genetic patch
8
patch size
8
genetic
6

Similar Publications

This paper presents a novel design approach for an anomalous reflector metasurface for communication systems operating at 8 GHz band. The main contribution of this work is the development of a general analytical method that accurately calculates the electromagnetic response of realistic metasurfaces with periodic impedance profiles. The modulated surface impedance is achieved by incorporating appropriately sized conductive patches on a grounded dielectric substrate.

View Article and Find Full Text PDF

Correlation between polygenic risk scores of depression and cortical morphology networks.

J Psychiatry Neurosci

January 2025

From the Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China (Gong, Wang, Nie, Ma, Zhou, Deng, Xie, Lyu, Chen, Kang, Liu); the Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China (Liu)

Background: Cortical morphometry is an intermediate phenotype that is closely related to the genetics and onset of major depressive disorder (MDD), and cortical morphometric networks are considered more relevant to disease mechanisms than brain regions. We sought to investigate changes in cortical morphometric networks in MDD and their relationship with genetic risk in healthy controls.

Methods: We recruited healthy controls and patients with MDD of Han Chinese descent.

View Article and Find Full Text PDF

Development of an FKBP12-recruiting chemical-induced proximity DNA-encoded library and its application to discover an autophagy potentiator.

Cell Chem Biol

December 2024

Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA. Electronic address:

Chemical inducers of proximity (CIPs) are molecules that recruit one protein to another and introduce new functionalities toward modulating protein states and activities. While CIP-mediated recruitment of E3 ligases is widely exploited for the development of degraders, other therapeutic modalities remain underexplored. We describe a non-degrader CIP-DNA-encoded library (CIP-DEL) that recruits FKBP12 to target proteins using non-traditional acyclic structures, with an emphasis on introducing stereochemically diverse and rigid connectors to attach the combinatorial library.

View Article and Find Full Text PDF

Each human genome has approximately 5 million DNA variants. Even for complete loss-of-function variants causing inherited, monogenic diseases, current understanding based on gene-specific molecular function does not adequately predict variability observed between people with identical mutations or fluctuating disease trajectories. We present a parallel paradigm for loss-of-function variants based on broader consequences to the cell when aberrant polypeptide chains of amino acids are translated from mutant RNA to generate mutated proteins.

View Article and Find Full Text PDF

EEFSEC deficiency: A selenopathy with early-onset neurodegeneration.

Am J Hum Genet

January 2025

Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany; Center for Rare Disease, University of Tübingen, 72076 Tübingen, Germany; Genomics for Health in Africa (GHA), Africa-Europe Cluster of Research Excellence (CoRE).

Inborn errors of selenoprotein expression arise from deleterious variants in genes encoding selenoproteins or selenoprotein biosynthetic factors, some of which are associated with neurodegenerative disorders. This study shows that bi-allelic selenocysteine tRNA-specific eukaryotic elongation factor (EEFSEC) variants cause selenoprotein deficiency, leading to progressive neurodegeneration. EEFSEC deficiency, an autosomal recessive disorder, manifests with global developmental delay, progressive spasticity, ataxia, and seizures.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!