ArticleBMC genomics2011
Detection of growth-related QTL in turbot (Scophthalmus maximus).
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- Novel SNPs in the leptin gene: implications for growth performance in cultured European sea bassJournal of veterinary research · 2026Article
- Review
- Non-synonymous variation and protein structure of candidate genes associated with selection in farm and wild populations of turbot (Scophthalmus maximus).Scientific reports · 2023Article
- Genomic Signatures After Five Generations of Intensive Selective Breeding: Runs of Homozygosity and Genetic Diversity in Representative Domestic and Wild Populations of Turbot (Frontiers in genetics · 2020Article
- Estimation of genetic parameters for growth and carcass traits in turbot (Archives animal breeding · 2019Article
- Parallel evolution and adaptation to environmental factors in a marine flatfish: Implications for fisheries and aquaculture management of the turbot (Evolutionary applications · 2018Article
- Identification of novel genes significantly affecting growth in catfish through GWAS analysis.Molecular genetics and genomics : MGG · 2018Article
- Genomic Selection for Growth Traits in Pacific Oyster (Frontiers in genetics · 2018Article
- Differential gene expression and SNP association between fast- and slow-growing turbot (Scophthalmus maximus).Scientific reports · 2017Article
- Aquaculture genomics, genetics and breeding in the United States: current status, challenges, and priorities for future research.BMC genomics · 2017Review
- Whole genome sequencing of turbot (Scophthalmus maximus; Pleuronectiformes): a fish adapted to demersal life.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016Article
- QTL variations for growth-related traits in eight distinct families of common carp (Cyprinus carpio).BMC genetics · 2016Article
- Integrative Transcriptome, Genome and Quantitative Trait Loci Resources Identify Single Nucleotide Polymorphisms in Candidate Genes for Growth Traits in Turbot.International journal of molecular sciences · 2016Article
- Detection of Growth-Related Quantitative Trait Loci and High-Resolution Genetic Linkage Maps Using Simple Sequence Repeat Markers in the Kelp Grouper (Epinephelus bruneus).Marine biotechnology (New York, N.Y.) · 2016Article
- Article
- Global gene expression patterns of grass carp following compensatory growth.BMC genomics · 2015Article
- Article
- Genetic mapping and QTL analysis of growth traits in the large yellow croaker Larimichthys crocea.Marine biotechnology (New York, N.Y.) · 2014Article
- Fine mapping and evolution of the major sex determining region in turbot (Scophthalmus maximus).G3 (Bethesda, Md.) · 2014Article
- Identification of quantitative trait loci associated with resistance to viral haemorrhagic septicaemia (VHS) in turbot (Scophthalmus maximus ): a comparison between bacterium, parasite and virus diseases.Marine biotechnology (New York, N.Y.) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe turbot (Scophthalmus maximus) is a highly appreciated European aquaculture species. Growth related traits constitute the main goal of the ongoing genetic breeding programs of this species. The recent construction of a consensus linkage map in this species has allowed the selection of a panel of 100 homogeneously distributed markers covering the 26 linkage groups (LG) suitable for QTL search. In this study we addressed the detection of QTL with effect on body weight, length and Fulton's condition factor.
resultsEight families from two genetic breeding programs comprising 814 individuals were used to search for growth related QTL using the panel of microsatellites available for QTL screening. Two different approaches, maximum likelihood and regression interval mapping, were used in order to search for QTL. Up to eleven significant QTL were detected with both methods in at least one family: four for weight on LGs 5, 14, 15 and 16; five for length on LGs 5, 6, 12, 14 and 15; and two for Fulton's condition factor on LGs 3 and 16. In these LGs an association analysis was performed to ascertain the microsatellite marker with the highest apparent effect on the trait, in order to test the possibility of using them for marker assisted selection.
conclusionsThe use of regression interval mapping and maximum likelihood methods for QTL detection provided consistent results in many cases, although the high variation observed for traits mean among families made it difficult to evaluate QTL effects. Finer mapping of detected QTL, looking for tightly linked markers to the causative mutation, and comparative genomics are suggested to deepen in the analysis of QTL in turbot so they can be applied in marker assisted selection programs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.