ArticleMethods and protocols2020
Mapping Quantitative Trait Loci onto Chromosome-Scale Pseudomolecules in Flax.
Article in Methods and protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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.
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Who cites it
20 citing papers in PubMed, 41 citations in OpenAlex.
- Integrative transcriptome and genome resequencing reveals conserved flowering regulators and allelic variants in early- and late-flowering linseed (Linum usitatissimum L.) accessions.Scientific reports · 2026Article
- Characterization of trehalose-6-phosphate synthase gene family in linseed (Linum usitatissimum L.) and its potential implications in flowering time regulation.BMC plant biology · 2025Article
- Chromosome-scale assembly of European flax (Linum usitatissimum L.) genotypes and pangenomic analysis provide genomic tools to improve breeding.BMC genomics · 2025Article
- Transcriptomic data of seven flax varieties contrasting in lodging resistance.Frontiers in plant science · 2025Article
- Nanopore Data-Driven Chromosome-Level Assembly of Flax Genome.Plants (Basel, Switzerland) · 2024Article
- History and prospects of flax genetic markers.Frontiers in plant science · 2024Review
- Review
- Diversity ofFrontiers in nutrition · 2023Review
- Genetic dissection of thousand-seed weight in linseed (Frontiers in plant science · 2023Article
- Genetic Determinants of Fiber-Associated Traits in Flax Identified by Omics Data Integration.International journal of molecular sciences · 2022Article
- Quantitative Trait Locus Mapping of Marsh Spot Disease Resistance in Cranberry Common Bean (International journal of molecular sciences · 2022Article
- Insights into the Genetic Architecture and Genomic Prediction of Powdery Mildew Resistance in Flax (International journal of molecular sciences · 2022Article
- Identification of QTNs Associated With Flowering Time, Maturity, and Plant Height Traits inFrontiers in genetics · 2022Article
- Integrated omics approaches for flax improvement under abiotic and biotic stress: Current status and future prospects.Frontiers in plant science · 2022Review
- Genes Associated with the Flax Plant Type (Oil or Fiber) Identified Based on Genome and Transcriptome Sequencing Data.Plants (Basel, Switzerland) · 2021Article
- Genomic Regions Associated with Fusarium Wilt Resistance in Flax.International journal of molecular sciences · 2021Article
- Genetic dissection of flowering time in flax (Linum usitatissimum L.) through single- and multi-locus genome-wide association studies.Molecular genetics and genomics : MGG · 2021Article
- Quantitative Trait Loci Mapping of Adult Plant and Seedling Resistance to Stripe Rust (Frontiers in plant science · 2021Article
- The Genetic Landscape of Fiber Flax.Frontiers in plant science · 2021Article
- Genome Sequencing of Fiber Flax Cultivar Atlant Using Oxford Nanopore and Illumina Platforms.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Quantitative trait loci (QTL) are genomic regions associated with phenotype variation of quantitative traits. To date, a total of 313 QTL for 31 quantitative traits have been reported in 14 studies on flax. Of these, 200 QTL from 12 studies were identified based on genetic maps, the scaffold sequences, or the pre-released chromosome-scale pseudomolecules. Molecular markers for QTL identification differed across studies but the most used ones were simple sequence repeats (SSRs) or single nucleotide polymorphisms (SNPs). To uniquely map the SSR and SNP markers from different references onto the recently released chromosome-scale pseudomolecules, methods with several scripts and database files were developed to locate PCR- and SNP-based markers onto the same reference, co-locate QTL, and scan genome-wide candidate genes. Using these methods, 195 out of 200 QTL were successfully sorted onto the 15 flax chromosomes and grouped into 133 co-located QTL clusters; the candidate genes that co-located with these QTL clusters were also predicted. The methods and tools presented in this article facilitate marker re-mapping to a new reference, genome-wide QTL analysis, candidate gene scanning, and breeding applications in flax and other crops.
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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.