Literature DB >> 34554558

Twelve new microsatellite loci of Eurasian perch Perca fluviatilis Linnaeus, 1758.

Dóra Kánainé Sipos1,2, Katalin Csenki-Bakos1,2, Ágnes Ősz1,2, Zoltán Bokor1,2, László Kotrik1,2, Daniel Żarski3, István Ittzés1,2, Béla Urbányi1,2, Balázs Kovács4,5.   

Abstract

The Eurasian perch (Perca fluviatilis Linnaeus, 1758) is native to almost entire Eurasia. For over the last two decades, this species became an important candidate for intensive freshwater aquaculture due to its high consumer's acceptance and overall market value. Hence, the intensive production of Eurasian perch has increased considerably allowing effective domestication; there is still a need for the development of effective selective breeding programmes allowing its further expansion. This process, in turn, can be significantly facilitated by molecular genetics. The genetic information of Eurasian perch and its populations is limited. Up to date information of regarding genetic diversity of many populations is still missing, including microsatellites for Eurasian perch, which could be useful during the selective breeding programmes allowing parental assignment and/or to follow heritability of desired traits. In this study, we have developed and characterized new polymorphic microsatellites. Subsequently, those 12 markers have been used further to compare two Hungarian and one Polish Eurasian perch populations. The Hungarian stocks had high genetic similarity (with low diversity), as we assumed, while the Polish population differed significantly. All populations deviated significantly from the Hardy-Weinberg equilibrium, and heterozygote deficiency was detected in all, showing the presence of an anthropogenic effect.
© 2021. The Author(s).

Entities:  

Keywords:  Eurasian perch; Genetic diversity; Microsatellites; Perca fluviatilis; Population genetics

Mesh:

Year:  2021        PMID: 34554558     DOI: 10.1007/s42977-021-00087-z

Source DB:  PubMed          Journal:  Biol Futur        ISSN: 2676-8607


  13 in total

1.  Universal fluorescent labeling (UFL) method for automated microsatellite analysis.

Authors:  Masashi Shimizu; Natsuki Kosaka; Takashi Shimada; Takemitsu Nagahata; Hironori Iwasaki; Hisaki Nagai; Tadayoshi Shiba; Mitsuru Emi
Journal:  DNA Res       Date:  2002-10-31       Impact factor: 4.458

2.  genepop'007: a complete re-implementation of the genepop software for Windows and Linux.

Authors:  François Rousset
Journal:  Mol Ecol Resour       Date:  2008-01       Impact factor: 7.090

3.  An informational diversity framework, illustrated with sexually deceptive orchids in early stages of speciation.

Authors:  Peter E Smouse; Michael R Whitehead; Rod Peakall
Journal:  Mol Ecol Resour       Date:  2015-05-20       Impact factor: 7.090

4.  Genetic population structure of perch Perca fluviatilis along the Swedish coast of the Baltic Sea.

Authors:  J Olsson; K Mo; A-B Florin; T Aho; N Ryman
Journal:  J Fish Biol       Date:  2011-05-12       Impact factor: 2.051

5.  Genetic divergence and phylogeographic relationships among european perch (Perca fluviatilis) populations reflect glacial refugia and postglacial colonization.

Authors:  C L Nesbø; T Fossheim; L A Vollestad; K S Jakobsen
Journal:  Mol Ecol       Date:  1999-09       Impact factor: 6.185

6.  Population differentiation in perch Perca fluviatilis: environmental effects on gene flow?

Authors:  S Bergek; G Sundblad; M Björklund
Journal:  J Fish Biol       Date:  2010-04       Impact factor: 2.051

7.  Kin-structured subpopulations in Eurasian perch (Perca fluviatilis L.).

Authors:  G Gerlach; U Schardt; R Eckmann; A Meyer
Journal:  Heredity (Edinb)       Date:  2001-02       Impact factor: 3.821

8.  Inferring weak population structure with the assistance of sample group information.

Authors:  Melissa J Hubisz; Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Mol Ecol Resour       Date:  2009-04-01       Impact factor: 7.090

9.  Cryptic barriers to dispersal within a lake allow genetic differentiation of Eurasian perch.

Authors:  S Bergek; M Björklund
Journal:  Evolution       Date:  2007-08       Impact factor: 3.694

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

View more
  1 in total

1.  In Silico Screening and Development of Microsatellite Markers for Genetic Analysis in Perca fluviatilis.

Authors:  Pu Xu; Cuiyun Lu; Zhipeng Sun; Youyi Kuang; Dingchen Cao; Tangbin Huo; Chao Li; Hongyu Jin; Xianhu Zheng
Journal:  Animals (Basel)       Date:  2022-07-15       Impact factor: 3.231

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.