25 research outputs found

    Additional file 4: of Transcriptional profiling of the leaves of near-isogenic rice lines with contrasting drought tolerance at the reproductive stage in response to water deficit

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    GO analysis of up-regulated differentially expressed common genes in the leaves of the rice genotypes including the two pairs of NILs and their drought-susceptible parent in response to different WD treatments. This figure shows a colorful model of the PAGE analysis generated using agriGO, a web-based gene ontology tool of gene-expression data under the different WD treatments (0.2 and 0.5 FTSW) used in this study. In the figure, the information includes the following: GO term, ontology (including three GO categories: biological process (P), molecular function (F) and cellular component (C)), the number of annotated genes for each GO term, the GO description, a simple colorful model in which the red color system indicates up-regulation and the blue color indicates down-regulation, and different statistical parameters such as z-scores, means and adjusted P values (FDR) in the different rice genotypes. (XLSX 1517 kb

    Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice-1

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    Wn as grey.<p><b>Copyright information:</b></p><p>Taken from "Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice"</p><p>http://www.plantmethods.com/content/4/1/13</p><p>Plant Methods 2008;4():13-13.</p><p>Published online 29 May 2008</p><p>PMCID:PMC2435114.</p><p></p

    Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice-2

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    <p><b>Copyright information:</b></p><p>Taken from "Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice"</p><p>http://www.plantmethods.com/content/4/1/13</p><p>Plant Methods 2008;4():13-13.</p><p>Published online 29 May 2008</p><p>PMCID:PMC2435114.</p><p></p

    Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice-5

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    Wn in grey. SFPs confirmed by PCR are shown in blue (Nipponbare) and red (93-11). The positions of the centromeres are indicated with an "X".<p><b>Copyright information:</b></p><p>Taken from "Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice"</p><p>http://www.plantmethods.com/content/4/1/13</p><p>Plant Methods 2008;4():13-13.</p><p>Published online 29 May 2008</p><p>PMCID:PMC2435114.</p><p></p

    Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice-0

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    Wn in grey. SFPs confirmed by PCR are shown in blue (Nipponbare) and red (93-11). The positions of the centromeres are indicated with an "X".<p><b>Copyright information:</b></p><p>Taken from "Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice"</p><p>http://www.plantmethods.com/content/4/1/13</p><p>Plant Methods 2008;4():13-13.</p><p>Published online 29 May 2008</p><p>PMCID:PMC2435114.</p><p></p

    Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice-3

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    linkage model of STRUCTURE.<p><b>Copyright information:</b></p><p>Taken from "Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice"</p><p>http://www.plantmethods.com/content/4/1/13</p><p>Plant Methods 2008;4():13-13.</p><p>Published online 29 May 2008</p><p>PMCID:PMC2435114.</p><p></p

    Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice-4

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    Nd association with the susceptible parent allele (LTH) with the resistant pool are assigned negative values. The line is drawn using loess smoothing.<p><b>Copyright information:</b></p><p>Taken from "Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice"</p><p>http://www.plantmethods.com/content/4/1/13</p><p>Plant Methods 2008;4():13-13.</p><p>Published online 29 May 2008</p><p>PMCID:PMC2435114.</p><p></p

    Frequency distribution of vein densities in the deletion mutant population and their control in the screen.

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    <p>Values above chart bars denote the number of mutant plants for each high vein density. Distribution frequencies of deletion mutant and control plants were largely the same. Differences were at the extremity of the binomial curve at higher vein densities (930 (1.2%), 112 (0.14%) and 13 (0.02%) mutant plants for respectively 6.5, 7 and 7.5 veins mm<sup>−1</sup>) where lines were selected as potential candidate mutants for increased vein density.</p

    Leaf veins of mutant and wild-type rice lines.

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    <p>Images of veins within a 2 mm leaf width were captured at 2–3 weeks after sowing. Line E19076-1-5-3 is an M<sub>5</sub> IR64 mutant. Line M0110124-A-2-2 is a T<sub>3</sub> Tainung 67 mutant.</p
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