35 research outputs found

    Detection of flavonoid composition in seed coats from transgenic and control <i>B. napus</i> plants.

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    <p>Analyses were performed by LC-UV-MS on seed coats of T<sub>2</sub> antisense <i>BnTT10</i> transgenic and control lines of <i>B. napus</i> cv. Zhongyou821. Q-3-G, Quercetin-3-glucoside; PC dimer B2, [DP2]-B2, epicatechin-(4β-8)-epicatechin; EC, epicatechin; K-3-O-G-7-O-G, kaempferol-3-O-glucoside-7-O-glucoside; I-di-H, isorhamnetin-dihexoside. Each value represents the means of three independent experiments +/− SD.</p

    Soluble and insoluble PAs measured after acid-catalyzed hydrolysis in seed coats transgenic and control lines.

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    <p>The <i>P</i>-value is for a <i>t</i>-test for means of paired samples. W-10, W-12, W-13: transgenic lines with inhibited <i>BnTT10</i> expression; W-22: transgenic lines with no inhibition in <i>BnTT10</i> expression; W-24: control lines with normal <i>BnTT10</i> expression. T<sub>2</sub>-P: positive T<sub>2</sub> progenies; T<sub>2</sub>-N: negative T<sub>2</sub> progenies after separation. Soluble (A) and insoluble PA (B) content in seed coats of T<sub>2</sub> transgenic and control <i>B. napus</i> cv. Westar plants. Each value represents the means of three independent experiments +/− SD.</p

    Lignin content in seed coats of transgenic and control lines.

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    <p>Lignin content was analyzed for seed coats of T<sub>2</sub> antisense <i>BnTT10</i> transgenic and control lines using the acetyl bromide method. Data are means for three T<sub>2</sub> progenies of each line, with triplicate measurements in each sample. The <i>P</i>-value is for a <i>t</i>-test for means of paired samples. W-10, W-12 and W-13: transgenic lines with inhibited <i>BnTT10</i> expression; W-22: transgenic lines with no inhibition in <i>BnTT10</i> expression; W-24: control lines with normal <i>BnTT10</i> expression. T<sub>2</sub>-P: positive T<sub>2</sub> progenies; T<sub>2</sub>-N: negative T<sub>2</sub> progenies after separation. Each value represents the means of three independent experiments +/− SD.</p

    Genome-Wide Association Mapping of Seed Coat Color in Brassica napus

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    Seed coat color is an extremely important breeding characteristic of Brassica napus. To elucidate the factors affecting the genetic architecture of seed coat color, a genome-wide association study (GWAS) of seed coat color was conducted with a diversity panel comprising 520 B. napus cultivars and inbred lines. In total, 22 single-nucleotide polymorphisms (SNPs) distributed on 7 chromosomes were found to be associated with seed coat color. The most significant SNPs were found in 2014 near Bn-scaff_15763_1-p233999, only 43.42 kb away from BnaC06g17050D, which is orthologous to Arabidopsis thaliana TRANSPARENT TESTA 12 (<i>TT12</i>), an important gene involved in the transportation of proanthocyanidin precursors into the vacuole. Two of eight repeatedly detected SNPs can be identified and digested by restriction enzymes. Candidate gene mining revealed that the relevant regions of significant SNP loci on the A09 and C08 chromosomes are highly homologous. Moreover, a comparison of the GWAS results to those of previous quantitative trait locus (QTL) studies showed that 11 SNPs were located in the confidence intervals of the QTLs identified in previous studies based on linkage analyses or association mapping. Our 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 B. napus breeding

    Seed pigmentation observation.

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    <p>Seedpods were sampled at 42, 50, 55, 60 and 45 DAF and the opened pods were observed under a low-power stereoscope. 5 DAH: five days after harvest. Seed coat pigmentation in the T<sub>2</sub> transgenic and control <i>B. napus</i> cv. Zhongyou821 (A) and Zhongshuang10 (B).</p

    Expression patterns of <i>BnTT10</i>, <i>BrTT10</i> and <i>BoTT10</i> genes in black- and yellow-seeded lines.

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    <p>QRT-PCR detection of <i>BnTT10</i> (A), <i>BrTT10</i> (C) and <i>BoTT10</i> (E) family mRNA, and transcript levels of <i>BnTT10</i> (B), <i>BrTT10</i> (D) and <i>BoTT10</i> (F) family members in reproductive organs of <i>B</i>. <i>napus</i>, <i>B. rapa</i> and <i>B. oleracea</i> black- and yellow-seeded near-isogenic lines. Error bars represent standard deviations (<i>n</i> = 3 for A, C and E).</p

    DataSheet_1_Identification of candidate genes regulating seed oil content by QTL mapping and transcriptome sequencing in Brassica napus.zip

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    Increasing oil production is a major goal in rapeseed (Brassica napus) molecular breeding programs. Identifying seed oil content (SOC)-related candidate genes is an important step towards achieving this goal. We performed quantitative trait locus (QTL) mapping of SOC in B. napus using a high-density SNP genetic map constructed from recombinant inbred lines and the Illumina InfiniumTM 60K SNP array. A total of 26 QTLs were detected in three years on A01, A03, A05, A06, A09, C01, C03 and C05, which accounted for 3.69%~18.47% of the phenotypic variation in SOC. Of these, 13 QTLs are reported here for the first time. 1713 candidate genes in the 26 QTLs confidence interval were obtained. We then identified differentially expressed genes (DEGs) between the high- and low-SOC accessions, to narrow down our focus to 21 candidate genes (Y1-Y21) related to SOC, and we will focus on 11 (Y1-Y11) candidate genes that contribute to the formation of high-SOC. In addition to providing insight into the genetic basis of SOC in B. napus, the loci identified and candidate genes in this study can be used in molecular breeding strategies to increase SOC in this important seed crop.</p

    Locations of significant QTL for acid detergent lignin (ADL), cellulose (Cel), hemicellulose (Hem) and seed colour (Col) in four different environments on the high-density SNP map.

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    <p>For simplicity only the markers in the QTL confidence intervals, along with the terminal two markers at each end of the QTL-containing chromosomes, are shown. Full map data is provided in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083052#pone.0083052.s001" target="_blank">File S1</a>.</p

    A High-Density SNP Map for Accurate Mapping of Seed Fibre QTL in <i>Brassica napus</i> L

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    <div><p>A high density genetic linkage map for the complex allotetraploid crop species <i>Brassica napus</i> (oilseed rape) was constructed in a late-generation recombinant inbred line (RIL) population, using genome-wide single nucleotide polymorphism (SNP) markers assayed by the <i>Brassica</i> 60 K Infinium BeadChip Array. The linkage map contains 9164 SNP markers covering 1832.9 cM. 1232 bins account for 7648 of the markers. A subset of 2795 SNP markers, with an average distance of 0.66 cM between adjacent markers, was applied for QTL mapping of seed colour and the cell wall fiber components acid detergent lignin (ADL), cellulose and hemicellulose. After phenotypic analyses across four different environments a total of 11 QTL were detected for seed colour and fiber traits. The high-density map considerably improved QTL resolution compared to the previous low-density maps. A previously identified major QTL with very high effects on seed colour and ADL was pinpointed to a narrow genome interval on chromosome A09, while a minor QTL explaining 8.1% to 14.1% of variation for ADL was detected on chromosome C05. Five and three QTL accounting for 4.7% to 21.9% and 7.3% to 16.9% of the phenotypic variation for cellulose and hemicellulose, respectively, were also detected. To our knowledge this is the first description of QTL for seed cellulose and hemicellulose in <i>B. napus</i>, representing interesting new targets for improving oil content. The high density SNP genetic map enables navigation from interesting <i>B. napus</i> QTL to <i>Brassica</i> genome sequences, giving useful new information for understanding the genetics of key seed quality traits in rapeseed.</p></div

    Significant QTL associated with seed colour and fiber traits in the GH06 x P174 F<sub>9</sub> RIL population (n = 172) after phenotyping in 4 different field environments.

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    <p>QTL were localized on high-density SNP map to allow navigation directly from QTL confidence intervals to genomic sequence regions of interest. Negative additive effect values indicate a decrease in the trait value caused by QTL alleles from parent GH06, while positive additive values indicate increasing trait values with QTL alleles from parent GH06. <i>R</i><sup>2</sup> is the percentage of variation explained by each QTL. <i>Cq</i>: Chongqing, China; <i>Ho</i>, Hohenlieth, Germany; <i>Gi</i>: Giessen Germany. QTL consistent over different environments are shown in bold font.</p
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