Perils of brown trout (Salmo spp.) mitigation-driven translocations: a case study from the Vlasina Plateau, Southeast Serbia

2022 ◽  
Author(s):  
Saša Marić ◽  
David Stanković ◽  
Simona Sušnik Bajec ◽  
Jasna Vukić ◽  
Radek Šanda ◽  
...  
Keyword(s):  
Brown Trout

Comparative analysis of microsatellite and allozyme markers: a case study investigating microgeographic differentiation in brown trout (Salmo trutta)

1998 ◽  
Vol 7 (3) ◽  
pp. 339-353 ◽  
Author(s):  
A. ESTOUP ◽  
F. ROUSSET ◽  
Y. MICHALAKIS ◽  
J.-M. CORNUET ◽  
M. ADRIAMANGA ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Brown Trout ◽  
Salmo Trutta ◽  
Brown Trout Salmo Trutta

scholarly journals A brown trout ( Salmo trutta ) population faces devastating consequences due to proliferative kidney disease and temperature increase: A case study from Austria

2019 ◽  
Vol 29 (3) ◽  
pp. 465-476 ◽  
Author(s):  
Karoline Waldner ◽  
Thomas Bechter ◽  
Stefan Auer ◽  
Florian Borgwardt ◽  
Mansour El‐Matbouli ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Brown Trout ◽  
Temperature Increase ◽  
Salmo Trutta ◽  
Proliferative Kidney Disease ◽  
Brown Trout Salmo Trutta

scholarly journals Does Habitat Restoration Increase Coexistence of Native Stream Fishes with Introduced Brown Trout: A Case Study on the Middle Provo River, Utah, USA

Water ◽  
2016 ◽  
Vol 8 (4) ◽  
pp. 121 ◽  
Author(s):  
Mark Belk ◽  
Eric Billman ◽  
Craig Ellsworth ◽  
Brock McMillan
Keyword(s):  
Brown Trout ◽  
Habitat Restoration ◽  
Stream Fishes ◽  
Provo River

scholarly journals Potential Factors Limiting Brown Trout Catches by Anglers - A Case Study

2021 ◽  
Vol 69 (3) ◽  
pp. 337-343
Author(s):  
Tomáš Zapletal ◽  
Luděk Šlapanský ◽  
Jan Grmela
Keyword(s):  
Brown Trout ◽  
Potential Factors

scholarly journals Low impact of different SNP panels from two building-loci pipelines on RAD-Seq population genomic metrics: case study on five diverse aquatic species

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Adrián Casanova ◽  
Francesco Maroso ◽  
Andrés Blanco ◽  
Miguel Hermida ◽  
Néstor Ríos ◽  
...  
Keyword(s):  
Brown Trout ◽  
Reference Genome ◽  
De Novo ◽  
Manila Clam ◽  
Model Organisms ◽  
Aquatic Species ◽  
Single Nucleotide ◽  
Snp Panels ◽  
Next Generation Sequencing Ngs

Abstract Background The irruption of Next-generation sequencing (NGS) and restriction site-associated DNA sequencing (RAD-seq) in the last decade has led to the identification of thousands of molecular markers and their genotyping for refined genomic screening. This approach has been especially useful for non-model organisms with limited genomic resources. Many building-loci pipelines have been developed to obtain robust single nucleotide polymorphism (SNPs) genotyping datasets using a de novo RAD-seq approach, i.e. without reference genomes. Here, the performances of two building-loci pipelines, STACKS 2 and Meyer’s 2b-RAD v2.1 pipeline, were compared using a diverse set of aquatic species representing different genomic and/or population structure scenarios. Two bivalve species (Manila clam and common edible cockle) and three fish species (brown trout, silver catfish and small-spotted catshark) were studied. Four SNP panels were evaluated in each species to test both different building-loci pipelines and criteria for SNP selection. Furthermore, for Manila clam and brown trout, a reference genome approach was used as control. Results Despite different outcomes were observed between pipelines and species with the diverse SNP calling and filtering steps tested, no remarkable differences were found on genetic diversity and differentiation within species with the SNP panels obtained with a de novo approach. The main differences were found in brown trout between the de novo and reference genome approaches. Genotyped vs missing data mismatches were the main genotyping difference detected between the two building-loci pipelines or between the de novo and reference genome comparisons. Conclusions Tested building-loci pipelines for selection of SNP panels seem to have low influence on population genetics inference across the diverse case-study scenarios here studied. However, preliminary trials with different bioinformatic pipelines are suggested to evaluate their influence on population parameters according with the specific goals of each study.

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