Evidence map›Paper›PMID 26901189›Full record

ArticleInternational journal of molecular sciences2016

Integrative Transcriptome, Genome and Quantitative Trait Loci Resources Identify Single Nucleotide Polymorphisms in Candidate Genes for Growth Traits in Turbot.

Diego Robledo, Carlos Fernández, Miguel Hermida, Andrés Sciara, José Antonio Álvarez-Dios, Santiago Cabaleiro, Rubén Caamaño, Paulino Martínez, Carmen Bouza

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 42 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Diego RobledoDepartamento de Xenética, Facultade de Bioloxía (CIBUS), Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain. diego.robledo@usc.es.
Carlos FernándezDepartamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain. carlos.fernandez.lopez@usc.es.
Miguel HermidaDepartamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain. miguel.hermida@usc.es.
Andrés SciaraInstituto de Biología Molecular y Celular de Rosario (IBR-CONICET), Rosario S2002LRK, Argentina. asciara@ibr-conicet.gov.ar.
José Antonio Álvarez-DiosDepartamento de Matemática Aplicada, Facultade de Matemáticas, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain. joseantonio.alvarez.dios@usc.es.
Santiago CabaleiroCluster de Acuicultura de Galicia (Punta do Couso), Aguiño-Ribeira 15695, Spain. cabaleiro@cetga.org.
Rubén CaamañoCluster de Acuicultura de Galicia (Punta do Couso), Aguiño-Ribeira 15695, Spain. ruben@cetga.org.
Paulino MartínezDepartamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain. paulino.martinez@usc.es.
Carmen BouzaDepartamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain. mcarmen.bouza@usc.es.
Universidade de Santiago de Compostela · ESConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

Wellcome Trust
6 · The paper itself

Abstract

Growth traits represent a main goal in aquaculture breeding programs and may be related to adaptive variation in wild fisheries. Integrating quantitative trait loci (QTL) mapping and next generation sequencing can greatly help to identify variation in candidate genes, which can result in marker-assisted selection and better genetic structure information. Turbot is a commercially important flatfish in Europe and China, with available genomic information on QTLs and genome mapping. Muscle and liver RNA-seq from 18 individuals was carried out to obtain gene sequences and markers functionally related to growth, resulting in a total of 20,447 genes and 85,344 single nucleotide polymorphisms (SNPs). Many growth-related genes and SNPs were identified and placed in the turbot genome and genetic map to explore their co-localization with growth-QTL markers. Forty-five SNPs on growth-related genes were selected based on QTL co-localization and relevant function for growth traits. Forty-three SNPs were technically feasible and validated in a wild Atlantic population, where 91% were polymorphic. The integration of functional and structural genomic resources in turbot provides a practical approach for QTL mining in this species. Validated SNPs represent a useful set of growth-related gene markers for future association, functional and population studies in this flatfish species.

Indexed as

Polymorphism, Single NucleotideQuantitative Trait LociTranscriptomeAnimalsAquacultureChromosome MappingFlatfishesGenomicsHigh-Throughput Nucleotide SequencingLiverMusclesSelective Breedingcandidate genesgrowthintegrative genomicsRNA-seqScophthalmus maximusSNPturbot

Identifiers

PMID26901189
PMCPMC4783974
OpenAlexW2284704644

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.