Literature DB >> 31598817

Evaluating the genetic structure of wild and commercial red cusk-eel (Genypterus chilensis) populations through the development of novel microsatellite markers from a reference transcriptome.

Pamela González1,2, Phillip Dettleff1,2, Cristián Valenzuela1,2, Juan Manuel Estrada3, Juan Antonio Valdés1,2, Claudio Meneses4,5, Alfredo Molina6,7.   

Abstract

The red cusk-eel (Genypterus chilensis) is a native Chilean species with a high-value market, with the potential to diversify Chilean aquaculture. The objective of this study was to develop a set of microsatellite markers, estimate genetic parameters, determine population differentiation, and identify the population structure of wild and commercial populations of G. chilensis. We discovered 6427 microsatellites markers from RNA-seq data, of which 54.9%, 20.2% and 16.8% were di-, tri-, and tetranucleotides, respectively. We used 12 of these markers to genotype two sets of broodstock, one group from commercial fish, and one group from wild fish from the Coquimbo Region of G. chilensis. We estimate the genetic parameters of the markers, selecting ten polymorphic markers (PIC > 0.5). We observed differences in the inbreeding coefficient among populations, with high values of inbreeding in one broodstock set and lower values in the other groups. The evaluation of population differentiation using Fst showed small (0.0195) to large (0.1888) genetic differentiation between the groups. The structure analysis showed that commercial and wild groups were formed by three clusters, without relevant evidence of admixture process, suggesting that groups evaluated in this study are formed of at least three subpopulations of G. chilensis, which could be explained by the low or lack of migration suggested for this species. This is the first study that identifies a high number of molecular markers in G. chilensis, providing relevant information of the genetic structure of commercial and wild population of this species.

Entities:  

Keywords:  Genetic structure; Genypterus chilensis; Microsatellites; Red cusk-eel; Transcriptome

Mesh:

Substances:

Year:  2019        PMID: 31598817     DOI: 10.1007/s11033-019-05021-0

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  15 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

3.  Adaptation and speciation: what can F(st) tell us?

Authors:  Mark A Beaumont
Journal:  Trends Ecol Evol       Date:  2005-06-13       Impact factor: 17.712

Review 4.  Development and application of biological technologies in fish genetic breeding.

Authors:  Kang Xu; Wei Duan; Jun Xiao; Min Tao; Chun Zhang; Yun Liu; ShaoJun Liu
Journal:  Sci China Life Sci       Date:  2015-01-16       Impact factor: 6.038

5.  Abundant class of human DNA polymorphisms which can be typed using the polymerase chain reaction.

Authors:  J L Weber; P E May
Journal:  Am J Hum Genet       Date:  1989-03       Impact factor: 11.025

6.  Porcine (GT)n sequences: structure and association with dispersed and tandem repeats.

Authors:  K Wilke; M Jung; Y Chen; H Geldermann
Journal:  Genomics       Date:  1994-05-01       Impact factor: 5.736

7.  Development of microsatellite markers using next-generation sequencing for the fish Colossoma macropomum.

Authors:  Raquel B Ariede; Milena V Freitas; Milene E Hata; Vito A Matrochirico-Filho; Ricardo Utsunomia; Fernando F Mendonça; Fausto Foresti; Fábio Porto-Foresti; Diogo T Hashimoto
Journal:  Mol Biol Rep       Date:  2017-12-20       Impact factor: 2.316

Review 8.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

9.  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

10.  De novo transcriptome analysis of Bagarius yarrelli (Siluriformes: Sisoridae) and the search for potential SSR markers using RNA-Seq.

Authors:  Min Du; Na Li; Baozhen Niu; Yanhong Liu; Dongjing You; Defu Jiang; Congquan Ruan; Zhengquan Qin; Taowen Song; Wentao Wang
Journal:  PLoS One       Date:  2018-02-09       Impact factor: 3.240

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  3 in total

1.  Development of EST-Molecular Markers from RNA Sequencing for Genetic Management and Identification of Growth Traits in Potato Grouper (Epinephelus tukula).

Authors:  Te-Hua Hsu; Yu-Ting Chiu; Hung-Tai Lee; Hong-Yi Gong; Chang-Wen Huang
Journal:  Biology (Basel)       Date:  2021-01-07

2.  High migratory propensity constitutes a single stock of an exploited cutlassfish species in the Northwest Pacific: A microsatellite approach.

Authors:  Yu-Hong Guo; Lorenzo C Halasan; Hui-Yu Wang; Hsiu-Chin Lin
Journal:  PLoS One       Date:  2022-03-17       Impact factor: 3.240

3.  High-Temperature Stress Effect on the Red Cusk-Eel (Geypterus chilensis) Liver: Transcriptional Modulation and Oxidative Stress Damage.

Authors:  Phillip Dettleff; Rodrigo Zuloaga; Marcia Fuentes; Pamela Gonzalez; Jorge Aedo; Juan Manuel Estrada; Alfredo Molina; Juan Antonio Valdés
Journal:  Biology (Basel)       Date:  2022-06-29
  3 in total

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