ArticlePloS one2016
Next Generation Mapping of Enological Traits in an F2 Interspecific Grapevine Hybrid Family.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 51 citations in OpenAlex.
- Dissecting the genetic basis of relevant fruit quality traits in interspecific grapevines (Horticulture research · 2026Article
- Marker-Assisted Selection in Breeding for Fruit Trait Improvement: A Review.International journal of molecular sciences · 2023Review
- Development and Evaluation of an AxiomPlants (Basel, Switzerland) · 2023Article
- Glutathione S-transferase: a candidate gene for berry color in muscadine grapes (Vitis rotundifolia).G3 (Bethesda, Md.) · 2022Article
- Berry Anthocyanin, Acid, and Volatile Trait Analyses in a Grapevine-Interspecific F2 Population Using an Integrated GBS and rhAmpSeq Genetic Map.Plants (Basel, Switzerland) · 2022Article
- Genetic analysis of grapevine root system architecture and loci associated gene networks.Frontiers in plant science · 2022Article
- Stable QTL for malate levels in ripe fruit and their transferability acrossHorticulture research · 2022Article
- Molecular Tools for Adapting Viticulture to Climate Change.Frontiers in plant science · 2021Review
- Genetic variations of acidity in grape berries are controlled by the interplay between organic acids and potassium.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Dissecting the control of shoot development in grapevine: genetics and genomics identify potential regulators.BMC plant biology · 2020Article
- Construction of a High-Density Genetic Map and Mapping of Firmness in Grapes (International journal of molecular sciences · 2020Article
- Haplotyping the Vitis collinear core genome with rhAmpSeq improves marker transferability in a diverse genus.Nature communications · 2020Article
- Draft genome of the Native American cold hardy grapevineHorticulture research · 2020Article
- Whole-genome resequencing of 472 Vitis accessions for grapevine diversity and demographic history analyses.Nature communications · 2019Article
- Genetic analysis of stilbenoid profiles in grapevine stems reveals a major mQTL hotspot on chromosome 18 associated with disease-resistance motifs.Horticulture research · 2019Article
- The genetic basis of grape and wine aroma.Horticulture research · 2019Review
- Facing Climate Change: Biotechnology of Iconic Mediterranean Woody Crops.Frontiers in plant science · 2019Review
- Article
- Identification of Nitrogen Consumption Genetic Variants in Yeast Through QTL Mapping and Bulk Segregant RNA-Seq Analyses.G3 (Bethesda, Md.) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In winegrapes (Vitis spp.), fruit quality traits such as berry color, total soluble solids content (SS), malic acid content (MA), and yeast assimilable nitrogen (YAN) affect fermentation or wine quality, and are important traits in selecting new hybrid winegrape cultivars. Given the high genetic diversity and heterozygosity of Vitis species and their tendency to exhibit inbreeding depression, linkage map construction and quantitative trait locus (QTL) mapping has relied on F1 families with the use of simple sequence repeat (SSR) and other markers. This study presents the construction of a genetic map by single nucleotide polymorphisms identified through genotyping-by-sequencing (GBS) technology in an F2 mapping family of 424 progeny derived from a cross between the wild species V. riparia Michx. and the interspecific hybrid winegrape cultivar, 'Seyval'. The resulting map has 1449 markers spanning 2424 cM in genetic length across 19 linkage groups, covering 95% of the genome with an average distance between markers of 1.67 cM. Compared to an SSR map previously developed for this F2 family, these results represent an improved map covering a greater portion of the genome with higher marker density. The accuracy of the map was validated using the well-studied trait berry color. QTL affecting YAN, MA and SS related traits were detected. A joint MA and SS QTL spans a region with candidate genes involved in the malate metabolism pathway. We present an analytical pipeline for calling intercross GBS markers and a high-density linkage map for a large F2 family of the highly heterozygous Vitis genus. This study serves as a model for further genetic investigations of the molecular basis of additional unique characters of North American hybrid wine cultivars and to enhance the breeding process by marker-assisted selection. The GBS protocols for identifying intercross markers developed in this study can be adapted for other heterozygous species.
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.