ArticleBMC plant biology2018
Unconditional and conditional QTL analyses of seed fatty acid composition in Brassica napus L.
Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 62 citations in OpenAlex.
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- Identification of transcription factor BnHDG4-A08 as a novel candidate associated with the accumulation of oleic, linoleic, linolenic, and erucic acid in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Identification of QTLs associated with very-long chain fatty acid (VLCFA) content via linkage mapping and BSA-seq in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Lipid Metabolism and Improvement in Oilseed Crops: Recent Advances in Multi-Omics Studies.Metabolites · 2023Review
- Genetic Dissection and Germplasm Selection of the Low Crude Fiber Component inFoods (Basel, Switzerland) · 2023Article
- Editorial: Dissection of the molecular basis of fatty acid composition in oil crops and molecular breeding of oil crops with improved fatty acid composition.Frontiers in plant science · 2022Article
- Construction of a Quantitative Genomic Map, Identification and Expression Analysis of Candidate Genes for Agronomic and Disease-Related Traits inFrontiers in plant science · 2022Article
- Quantitative Trait Locus Mapping Combined with RNA Sequencing Reveals the Molecular Basis of Seed Germination in Oilseed Rape.Biomolecules · 2021Article
- Breeding Canola (Plants (Basel, Switzerland) · 2021Review
- QTL Mapping and GWAS Reveal the Genetic Mechanism Controlling Soluble Solids Content inFoods (Basel, Switzerland) · 2021Article
- Fine mapping QTL and mining genes for protein content in soybean by the combination of linkage and association analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- QTL Analysis of Five Silique-Related Traits inFrontiers in plant science · 2021Article
- Identification and Development of KASP Markers for Novel MutantFrontiers in plant science · 2021Article
- GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus.BMC genomics · 2020Article
- Fine-mapping and transcriptome analysis of a candidate gene controlling plant height inBiotechnology for biofuels · 2020Article
- A novel quantitative trait locus on chromosome A9 controlling oleic acid content in Brassica napus.Plant biotechnology journal · 2019Article
- Association Mapping Analysis of Fatty Acid Content in Different Ecotypic Rapeseed Using mrMLM.Frontiers in plant science · 2018Article
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe fatty acid composition of B. napus' seeds determines the oil's nutritional and industrial values, and affects seed germination. Many studies have reported correlations among C16:0, C18:0, C18:1, C18:2 and C18:3 based on phenotypic data; however, the genetic basis of the fatty acid composition in B. napus is still not well understood.
resultsIn this study, unconditional and conditional quantitative trail locus (QTL) mapping analyses were conducted using a recombinant inbred line in six environments. In total, 21 consensus QTLs each for C16:0, C18:0 and C18:2, 16 for C18:1 and 22 for C18:3 were detected by unconditional mapping. The QTLs with overlapping confidence intervals were integrated into 71 pleiotropically unique QTLs by meta-analysis. Two major QTLs, uuqA5-6 and uuqA5-7, simultaneously affected the fatty acids, except C18:0, in most of environments, with the homologous genes fatty acid desaturase 2 (FAD2) and glycerol-3-phosphate sn-2-acyltransferase 5 (GPAT5) occurring in the confidence interval of uuqA5-6, while phosphatidic acid phosphohydrolase 1 (PAH1) was assigned to uuqA5-7. Moreover, 49, 30, 48, 60 and 45 consensus QTLs were detected for C16:0, C18:0, C18:1, C18:2 and C18:3, respectively, by the conditional mapping analysis. In total, 128 unique QTLs were subsequently integrated from the 232 conditional consensus QTLs. A comparative analysis revealed that 63 unique QTLs could be identified by both mapping methodologies, and 65 additional unique QTLs were only identified in conditional mapping.
conclusionsThus, conditional QTL mapping for fatty acids may uncover numerous additional QTLs that were inhibited by the effects of other traits. These findings provide useful information for better understanding the genetic relationships among fatty acids at the QTL level.
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