ArticleBMC plant biology2013
New stable QTLs for berry weight do not colocalize with QTLs for seed traits in cultivated grapevine (Vitis vinifera L.).
Article in BMC plant biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 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
48 citing papers in PubMed.
- A comprehensive SPET-based linkage mapping for berry texture and defective seed development in grapevine.Frontiers in plant science · 2026Article
- Article
- Review
- Biography ofHorticulture research · 2024Article
- Dissecting the complex genetic basis of pre- and post-harvest traits inHorticulture research · 2024Article
- Synergizing biotechnology and natural farming: pioneering agricultural sustainability through innovative interventions.Frontiers in plant science · 2024Review
- Berry texture QTL and candidate gene analysis in grape (Horticulture research · 2023Article
- Marker-Assisted Selection in Breeding for Fruit Trait Improvement: A Review.International journal of molecular sciences · 2023Review
- Article
- Construction of a genetic linkage map and QTL mapping of fruit quality traits in guava (Frontiers in plant science · 2023Article
- Identification of SNP loci and candidate genes genetically controlling norisoprenoids in grape berry based on genome-wide association study.Frontiers in plant science · 2023Article
- A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs.G3 (Bethesda, Md.) · 2022Article
- Genetic changes in the genusFrontiers in plant science · 2022Review
- VviAGL11 self-regulates and targets hormone- and secondary metabolism-related genes during seed development.Horticulture research · 2022Article
- The genomes of 204 Vitis vinifera accessions reveal the origin of European wine grapes.Nature communications · 2021Article
- Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine.G3 (Bethesda, Md.) · 2021Article
- A highly efficient regeneration, genetic transformation system and induction of targeted mutations using CRISPR/Cas9 in Lycium ruthenicum.Plant methods · 2021Article
- Functional conservation of the grapevine candidate gene INNER NO OUTER for ovule development and seed formation.Horticulture research · 2021Article
- Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience toFrontiers in plant science · 2021Article
- Comparative phenotypic and transcriptomic analysis of Victoria and flame seedless grape cultivars during berry ripening.FEBS open bio · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn grapevine, as in other fruit crops, fruit size and seed content are key components of yield and quality; however, very few Quantitative Trait Loci (QTLs) for berry weight and seed content (number, weight, and dry matter percentage) have been discovered so far. To identify new stable QTLs for marker-assisted selection and candidate gene identification, we performed simultaneous QTL detection in four mapping populations (seeded or seedless) with various genetic backgrounds.
resultsFor berry weight, we identified five new QTLs, on linkage groups (LGs) 1, 8, 11, 17 and 18, in addition to the known major QTL on LG 18. The QTL with the largest effect explained up to 31% of total variance and was found in two genetically distant populations on LG 17, where it colocalized with a published putative domestication locus. For seed traits, besides the major QTLs on LG 18 previously reported, we found four new QTLs explaining up to 51% of total variance, on LGs 4, 5, 12 and 14. The previously published QTL for seed number on LG 2 was found related in fact to sex. We found colocalizations between seed and berry weight QTLs only for the major QTL on LG 18 in a seedless background, and on LGs 1 and 13 in a seeded background. Candidate genes belonging to the cell number regulator CNR or cytochrome P450 families were found under the berry weight QTLs on LGs 1, 8, and 17. The involvement of these gene families in fruit weight was first described in tomato using a QTL-cloning approach. Several other interesting candidate genes related to cell wall modifications, water import, auxin and ethylene signalling, transcription control, or organ identity were also found under berry weight QTLs.
conclusionWe discovered a total of nine new QTLs for berry weight or seed traits in grapevine, thereby increasing more than twofold the number of reliable QTLs for these traits available for marker assisted selection or candidate gene studies. The lack of colocalization between berry and seed QTLs suggests that these traits may be partly dissociated.
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.