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Rice Diversity Panel Mapping for Identifying Genetics Behind Leaf Vein Density Trait in Rice (Oryza sativa L.)

Received: 14 May 2016     Accepted: 3 June 2016     Published: 20 June 2016
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Abstract

A screen of rice genotypes was carried out on a total of 327 genotypes of the rice diversity panel for leaf vein density. Identifying locations of genes that impart to leaf vein density in a quantitative way should capable the using of these genes in plant breeding and accelerate producing C4 rice plant. Finding of genotypes of rice that have less distances between veins is still the challenge of the plant breeders. Screen was shown significant variations in leaf vein density. Quantitative trait loci (QTLs) for the leaf vein density trait were identified by using Efficient Mixed Model Analysis (EMMA). QTLs were considered reportable if they had P values (below 0.0001). The most significant Single nucleotide polymorphisms (SNP) associations (EMMA 1.3, EMMA 1.8 and EMMA 10.1) were in each of the rice chromosomes 1 and 10 respectively. All genes positioned 200 kb around associations were selected. The candidacy of the most promising were NADP-dependent malic enzyme, chloroplast precursor (LOC_Os01g09320; ras-related protein, putative, expressed (LOC_Os01g51700); 60S acidic ribosomal protein (LOC_Os01g09510); Auxin-responsive Aux/IAA gene family member (LOC_Os01g09450; myb-related transcription activator, putative, expressed (LOC_Os01g09280); glycine-rich protein (LOC_Os01g09246); phosphofructokinase (LOC_Os01g09570); oxidoreductase, short chain dehydrogenase/reductase family (SDR) LOC_Os10g31780), which have been expressed in leaf tissue and requisite to be investigated further.

Published in International Journal of Applied Agricultural Sciences (Volume 2, Issue 4)
DOI 10.11648/j.ijaas.20160204.12
Page(s) 49-55
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Rice Diversity Panel, Rice, Leaf Vein Density, Mapping

References
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Cite This Article
  • APA Style

    Zaniab Al-Shugeairy. (2016). Rice Diversity Panel Mapping for Identifying Genetics Behind Leaf Vein Density Trait in Rice (Oryza sativa L.). International Journal of Applied Agricultural Sciences, 2(4), 49-55. https://doi.org/10.11648/j.ijaas.20160204.12

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    Zaniab Al-Shugeairy. Rice Diversity Panel Mapping for Identifying Genetics Behind Leaf Vein Density Trait in Rice (Oryza sativa L.). Int. J. Appl. Agric. Sci. 2016, 2(4), 49-55. doi: 10.11648/j.ijaas.20160204.12

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    AMA Style

    Zaniab Al-Shugeairy. Rice Diversity Panel Mapping for Identifying Genetics Behind Leaf Vein Density Trait in Rice (Oryza sativa L.). Int J Appl Agric Sci. 2016;2(4):49-55. doi: 10.11648/j.ijaas.20160204.12

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  • @article{10.11648/j.ijaas.20160204.12,
      author = {Zaniab Al-Shugeairy},
      title = {Rice Diversity Panel Mapping for Identifying Genetics Behind Leaf Vein Density Trait in Rice (Oryza sativa L.)},
      journal = {International Journal of Applied Agricultural Sciences},
      volume = {2},
      number = {4},
      pages = {49-55},
      doi = {10.11648/j.ijaas.20160204.12},
      url = {https://doi.org/10.11648/j.ijaas.20160204.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaas.20160204.12},
      abstract = {A screen of rice genotypes was carried out on a total of 327 genotypes of the rice diversity panel for leaf vein density. Identifying locations of genes that impart to leaf vein density in a quantitative way should capable the using of these genes in plant breeding and accelerate producing C4 rice plant. Finding of genotypes of rice that have less distances between veins is still the challenge of the plant breeders. Screen was shown significant variations in leaf vein density. Quantitative trait loci (QTLs) for the leaf vein density trait were identified by using Efficient Mixed Model Analysis (EMMA). QTLs were considered reportable if they had P values (below 0.0001). The most significant Single nucleotide polymorphisms (SNP) associations (EMMA 1.3, EMMA 1.8 and EMMA 10.1) were in each of the rice chromosomes 1 and 10 respectively. All genes positioned 200 kb around associations were selected. The candidacy of the most promising were NADP-dependent malic enzyme, chloroplast precursor (LOC_Os01g09320; ras-related protein, putative, expressed (LOC_Os01g51700); 60S acidic ribosomal protein (LOC_Os01g09510); Auxin-responsive Aux/IAA gene family member (LOC_Os01g09450; myb-related transcription activator, putative, expressed (LOC_Os01g09280); glycine-rich protein (LOC_Os01g09246); phosphofructokinase (LOC_Os01g09570); oxidoreductase, short chain dehydrogenase/reductase family (SDR) LOC_Os10g31780), which have been expressed in leaf tissue and requisite to be investigated further.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Rice Diversity Panel Mapping for Identifying Genetics Behind Leaf Vein Density Trait in Rice (Oryza sativa L.)
    AU  - Zaniab Al-Shugeairy
    Y1  - 2016/06/20
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijaas.20160204.12
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    T2  - International Journal of Applied Agricultural Sciences
    JF  - International Journal of Applied Agricultural Sciences
    JO  - International Journal of Applied Agricultural Sciences
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    EP  - 55
    PB  - Science Publishing Group
    SN  - 2469-7885
    UR  - https://doi.org/10.11648/j.ijaas.20160204.12
    AB  - A screen of rice genotypes was carried out on a total of 327 genotypes of the rice diversity panel for leaf vein density. Identifying locations of genes that impart to leaf vein density in a quantitative way should capable the using of these genes in plant breeding and accelerate producing C4 rice plant. Finding of genotypes of rice that have less distances between veins is still the challenge of the plant breeders. Screen was shown significant variations in leaf vein density. Quantitative trait loci (QTLs) for the leaf vein density trait were identified by using Efficient Mixed Model Analysis (EMMA). QTLs were considered reportable if they had P values (below 0.0001). The most significant Single nucleotide polymorphisms (SNP) associations (EMMA 1.3, EMMA 1.8 and EMMA 10.1) were in each of the rice chromosomes 1 and 10 respectively. All genes positioned 200 kb around associations were selected. The candidacy of the most promising were NADP-dependent malic enzyme, chloroplast precursor (LOC_Os01g09320; ras-related protein, putative, expressed (LOC_Os01g51700); 60S acidic ribosomal protein (LOC_Os01g09510); Auxin-responsive Aux/IAA gene family member (LOC_Os01g09450; myb-related transcription activator, putative, expressed (LOC_Os01g09280); glycine-rich protein (LOC_Os01g09246); phosphofructokinase (LOC_Os01g09570); oxidoreductase, short chain dehydrogenase/reductase family (SDR) LOC_Os10g31780), which have been expressed in leaf tissue and requisite to be investigated further.
    VL  - 2
    IS  - 4
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Author Information
  • Field Crop Department, College of Agriculture, University of Baghdad, Baghdad, Iraq

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