Twelve new microsatellite loci of Eurasian perch Perca fluviatilis Linnaeus, 1758.
Eurasian perch
Genetic diversity
Microsatellites
Perca fluviatilis
Population genetics
Journal
Biologia futura
ISSN: 2676-8607
Titre abrégé: Biol Futur
Pays: Switzerland
ID NLM: 101738236
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
received:
16
12
2020
accepted:
07
05
2021
entrez:
23
9
2021
pubmed:
24
9
2021
medline:
27
1
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34554558
doi: 10.1007/s42977-021-00087-z
pii: 10.1007/s42977-021-00087-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
385-393Subventions
Organisme : Hungarian Scientific Research Fund
ID : PD 79177
Organisme : Thematic Excellence Programme 2020 Institutional Excellence Subprogramme
ID : TKP2020-IKA-12
Organisme : European Social Fund
ID : the EFOP-3.6.3-VEKOP- 16-2017-00008
Informations de copyright
© 2021. The Author(s).
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