ArticleFrontiers in genetics2020
The Toolbox for Fiber Flax Breeding: A Pipeline From Gene Expression to Fiber Quality.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- History and prospects of flax genetic markers.Frontiers in plant science · 2024Review
- Identification of new potential molecular actors related to fiber quality in flax through Omics.Frontiers in plant science · 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
- Using FIBexDB for In-Depth Analysis of Flax Lectin Gene Expression in Response toPlants (Basel, Switzerland) · 2022Article
- Genes Associated with the Flax Plant Type (Oil or Fiber) Identified Based on Genome and Transcriptome Sequencing Data.Plants (Basel, Switzerland) · 2021Article
- OMICs, Epigenetics, and Genome Editing Techniques for Food and Nutritional Security.Plants (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
The goal of any plant breeding program is to improve quality of a target crop. Crop quality is a comprehensive feature largely determined by biological background. To improve the quality parameters of crops grown for the production of fiber, a functional approach was used to search for genes suitable for the effective manipulation of technical fiber quality. A key step was to identify genes with tissue and stage-specific pattern of expression in the developing fibers. In the current study, we investigated the relationship between gene expression evaluated in bast fibers of developing flax plants and the quality parameters of technical fibers measured after plant harvesting. Based on previously published transcriptomic data, two sets of genes that are upregulated in fibers during intrusive growth and tertiary cell wall deposition were selected. The expression level of the selected genes and fiber quality parameters were measured in fiber flax, linseed (oil flax) cultivars, and wild species that differ in type of yield and fiber quality parameters. Based on gene expression data, linear regression models for technical stem length, fiber tensile strength, and fiber flexibility were constructed, resulting in the identification of genes that have high potential for manipulating fiber quality. Chromosomal localization and single nucleotide polymorphism distribution in the selected genes were characterized for the efficacy of their use in conventional breeding and genome editing programs. Transcriptome-based selection is a highly targeted functional approach that could be used during the development of new cultivars of various crops.
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