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Allelic Variation of BnaC.TT2.a and Its Association with Seed Coat Color and Fatty Acids in Rapeseed (Brassica napus L.).

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TLDR
The role of BnaC.TT2.a in regulating the seed color formation and seed FA biosynthesis in rapeseed is revealed, thereby suggesting effective molecular markers for rapeseed breeding.
Abstract
Efficient molecular markers for the selection of rapeseed genetic materials with high seed oil content and ideal fatty acid (FA) composition are preferred by rapeseed breeders. Recently, we reported the molecular mechanism of TRANSPARENT TESTA 2 (TT2) in inhibiting seed FA biosynthesis in Arabidopsis. However, evidence showing the association of rapeseed TT2 homologs and seed FA production are still insufficient. In this study, we collected 83 rapeseed (Brassica napus L.) landraces from different geographical backgrounds to conduct association mapping of BnaC.TT2.a in relation to seed coat color and FA biosynthesis. Population background was corrected by 84 pairs of SSR markers that were uniformly distributed among the linkage groups of the Tapidor-Ningyou-7 DH population. A single copy of BnaC.TT2.a for single nucleotide polymorphism (SNP) assay was cloned by a pair of previously reported specific primers. From the analysis of BnaC.TT2.a allelic variations using GLM+Q model, four SNPs on intron 1 of BnaC.TT2.a that were associated with seed FA were discovered. Moreover, an InDel at position 738 on exon 3 of BnaC.TT2.a indicated a change of protein function that was significantly associated with seed coat color, linoleic acid (C18:2), and total FA content. These findings revealed the role of BnaC.TT2.a in regulating the seed color formation and seed FA biosynthesis in rapeseed, thereby suggesting effective molecular markers for rapeseed breeding.

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Accuracy of mapping quantitative trait loci in autogamous species.

TL;DR: In this paper, the accuracy of this method was investigated by computer simulation and it was shown that there is a reasonable probability of detecting QTLs that explain at least 5% of the total variance.
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Targeted Knockout of BnTT2 Homologues for Yellow-Seeded Brassica napus with Reduced Flavonoids and Improved Fatty Acid Composition

TL;DR: Overall, this research showed that the BnTT2 mutation can be used for yellow seed breeding and oil improvement, which is of great significance in improving the economic value of rapeseeds.
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Fatty Acid Composition, Phytochemistry, Antioxidant Activity on Seed Coat and Kernel of Paeonia ostii from Main Geographic Production Areas

TL;DR: This study indicates that seeds of P. ostii would be a good source of valuable oil and provides a basis for seed quality evaluation for the production of edible oil and potential ALA supplements from the promising woody oil plant.
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Genome-Wide Association Mapping of Seed Coat Color in Brassica napus.

TL;DR: The results provide insights into the genetic basis of seed coat color in B. napus, and the beneficial allele, SNP information, and candidate genes should be useful for selecting yellow seeds in the breeding of Brassica napus.
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Seed coats as an alternative molecular factory: thinking outside the box

TL;DR: The knowledge of the in planta biosynthesis pathways of these macromolecules and their molecular regulation as well as potential applications is summarized and recent work aimed at providing further tools for increasing yields of existing molecules or the development of novel biotech approaches is outlined.
References
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Journal ArticleDOI

Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
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Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

TL;DR: It is found that in most cases the estimated ‘log probability of data’ does not provide a correct estimation of the number of clusters, K, and using an ad hoc statistic ΔK based on the rate of change in the log probability between successive K values, structure accurately detects the uppermost hierarchical level of structure for the scenarios the authors tested.
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TASSEL: software for association mapping of complex traits in diverse samples

TL;DR: TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure and allows for linkage disequilibrium statistics to be calculated and visualized graphically.
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Status and Prospects of Association Mapping in Plants

TL;DR: The current status of association mapping in plants is described and opportunities and challenges in complex trait dissection and genomics‐assisted crop improvement are outlined.
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