Genetic Characterization of the Fish Piaractus brachypomus by Microsatellites Derived from Transcriptome Sequencing

dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Medicina Molecular e Enfermidades Crónicasgl
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Zooloxía, Xenética e Antropoloxía Físicagl
dc.contributor.authorJorge, Paulo H.
dc.contributor.authorMastrochirico Filho, Vito Antonio
dc.contributor.authorHata, Milene E.
dc.contributor.authorMendes, Natália J.
dc.contributor.authorAriede, Raquel B.
dc.contributor.authorFreitas, Milena Vieira de
dc.contributor.authorVera Rodríguez, Manuel
dc.contributor.authorPorto Foresti, Fábio
dc.contributor.authorHashimoto, Diogo Teruo
dc.date.accessioned2020-05-28T17:53:34Z
dc.date.available2020-05-28T17:53:34Z
dc.date.issued2018
dc.description.abstractThe pirapitinga, Piaractus brachypomus (Characiformes, Serrasalmidae), is a fish from the Amazon basin and is considered to be one of the main native species used in aquaculture production in South America. The objectives of this study were: (1) to perform liver transcriptome sequencing of pirapitinga through NGS and then validate a set of microsatellite markers for this species; and (2) to use polymorphic microsatellites for analysis of genetic variability in farmed stocks. The transcriptome sequencing was carried out through the Roche/454 technology, which resulted in 3,696 non-redundant contigs. Of this total, 2,568 contigs had similarity in the non-redundant (nr) protein database (Genbank) and 2,075 sequences were characterized in the categories of Gene Ontology (GO). After the validation process of 30 microsatellite loci, eight markers showed polymorphism. The analysis of these polymorphic markers in farmed stocks revealed that fish farms from North Brazil had a higher genetic diversity than fish farms from Southeast Brazil. AMOVA demonstrated that the highest proportion of variation was presented within the populations. However, when comparing different groups (1: Wild; 2: North fish farms; 3: Southeast fish farms), a considerable variation between the groups was observed. The FST values showed the occurrence of genetic structure among the broodstocks from different regions of Brazil. The transcriptome sequencing in pirapitinga provided important genetic resources for biological studies in this non-model species, and microsatellite data can be used as the framework for the genetic management of breeding stocks in Brazil, which might provide a basis for a genetic pre-breeding programmegl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis work was supported by grants from FAPESP (2014/03772-7 and 2014/05732-2), CNPq (446779/2014-8 and 305916/2015-7), and PROPE/UNESPgl
dc.identifier.doi10.3389/fgene.2018.00046
dc.identifier.essn1664-8021
dc.identifier.urihttp://hdl.handle.net/10347/22642
dc.language.isoenggl
dc.publisherFrontiers Mediagl
dc.relation.publisherversionhttps://doi.org/10.3389/fgene.2018.00046gl
dc.rightsCopyright © 2018 Jorge, Mastrochirico-Filho, Hata, Mendes, Ariede, Freitas, Vera, Porto-Foresti, and Hashimoto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these termsgl
dc.rights.accessRightsopen accessgl
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAquaculturegl
dc.subjectGenetic structuregl
dc.subjectNGSgl
dc.subjectPirapitingagl
dc.subjectSerrasalmidaegl
dc.titleGenetic Characterization of the Fish Piaractus brachypomus by Microsatellites Derived from Transcriptome Sequencinggl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublicationf3fd4bc0-8a08-4af8-b008-4ac6f6082186
relation.isAuthorOfPublication.latestForDiscoveryf3fd4bc0-8a08-4af8-b008-4ac6f6082186

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2018_fgene_jorge_genetic.pdf
Size:
795.72 KB
Format:
Adobe Portable Document Format
Description: