ArticleMolecular genetics and genomics : MGG2021
Genetic dissection of flowering time in flax (Linum usitatissimum L.) through single- and multi-locus genome-wide association studies.
Article in Molecular genetics and genomics : MGG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 23 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
- Identification of novel candidate genes for Ascochyta blight resistance in chickpea.Scientific reports · 2024Article
- History and prospects of flax genetic markers.Frontiers in plant science · 2024Review
- The Genetic Dissection of Nitrogen Use-Related Traits in Flax (International journal of molecular sciences · 2023Article
- Genome-wide association study reveals loci and candidate genes of flowering time in jute (Molecular breeding : new strategies in plant improvement · 2023Article
- Genome-wide association studies using multi-models and multi-SNP datasets provide new insights into pasmo resistance in flax.Frontiers in plant science · 2023Article
- Diversity ofFrontiers in nutrition · 2023Review
- Genetic dissection of thousand-seed weight in linseed (Frontiers in plant science · 2023Article
- Development and Complex Application of Methods for the Identification of Mutations in thePlants (Basel, Switzerland) · 2022Article
- Genetic Determinants of Fiber-Associated Traits in Flax Identified by Omics Data Integration.International journal of molecular sciences · 2022Article
- Identification of QTNs Associated With Flowering Time, Maturity, and Plant Height Traits inFrontiers in genetics · 2022Article
- 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
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
In a rapidly changing climate, flowering time (FL) adaptation is important to maximize seed yield in flax (Linum usitatissimum L.). However, our understanding of the genetic mechanism underlying FL in this multipurpose crop remains limited. With the aim of dissecting the genetic architecture of FL in flax, a genome-wide association study (GWAS) was performed on 200 accessions of the flax core collection evaluated in four environments. Two single-locus and six multi-locus models were applied using 70,935 curated single nucleotide polymorphism (SNP) markers. A total of 40 quantitative trait nucleotides (QTNs) associated with 27 quantitative trait loci (QTL) were identified in at least two environments. The number of QTL with positive-effect alleles in accessions was significantly correlated with FL (r = 0.77 to 0.82), indicating principally additive gene actions. Nine QTL were significant in at least three of the four environments accounting for 3.06-14.71% of FL variation. These stable QTL spanned regions that harbored 27 Arabidopsis thaliana and Oryza sativa FL-related orthologous genes including FLOWERING LOCUS T (Lus10013532), FLOWERING LOCUS D (Lus10028817), transcriptional regulator SUPERMAN (Lus10021215), and gibberellin 2-beta-dioxygenase 2 (Lus10037816). In silico gene expression analysis of the 27 FL candidate gene orthologous suggested that they might play roles in the transition from vegetative to reproductive phase, flower development and fertilization. Our results provide new insights into the QTL architecture of flowering time in flax, identify potential candidate genes for further studies, and demonstrate the effectiveness of combining different GWAS models for the genetic dissection of complex traits.
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