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  • CUI, YUEHUA  (2)
  • Biology  (2)
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  • Biology  (2)
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  • 1
    Online Resource
    Online Resource
    Wiley ; 2006
    In:  Genetical Research Vol. 87, No. 1 ( 2006-02), p. 61-71
    In: Genetical Research, Wiley, Vol. 87, No. 1 ( 2006-02), p. 61-71
    Abstract: Coordinated expression of embryo and endosperm tissues is required for proper seed development. The coordination among these two tissues is controlled by the interaction between multiple genes expressed in the embryo and endosperm genomes. In this article, we present a statistical model for testing whether quantitative trait loci (QTL) active in different genomes, diploid embryo and triploid endosperm, epistatically affect a trait expressed on the endosperm tissue. The maximum likelihood approach, implemented with the EM algorithm, was derived to provide the maximum likelihood estimates of the locations of embryo- and endosperm-specific QTL and their main effects and epistatic effects. This model was used in a real example for rice in which two QTL, one from the embryo genome and the other from the endosperm genome, exert a significant interaction effect on gel consistency on the endosperm. Our model has successfully detected Waxy , a candidate gene in the embryo genome known to regulate one of the major steps of amylose biosynthesis in the endosperm. This model will have great implications for agricultural and evolutionary genetic research.
    Type of Medium: Online Resource
    ISSN: 0016-6723 , 1469-5073
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2006
    detail.hit.zdb_id: 1472156-9
    detail.hit.zdb_id: 205702-5
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Wiley ; 2005
    In:  Genetical Research Vol. 86, No. 1 ( 2005-08), p. 65-75
    In: Genetical Research, Wiley, Vol. 86, No. 1 ( 2005-08), p. 65-75
    Abstract: To study the effects of maternal and endosperm quantitative trait locus (QTL) interaction on endosperm development, we derive a two-stage hierarchical statistical model within the maximum-likelihood context, implemented with an expectation-maximization algorithm. A model incorporating both maternal and offspring marker information can improve the accuracy and precision of genetic mapping. Extensive simulations under different sampling strategies, heritability levels and gene action modes were performed to investigate the statistical properties of the model. The QTL location and parameters are better estimated when two QTLs are located at different intervals than when they are located at the same interval. Also, the additive effect of the offspring QTLs is better estimated than the additive effect of the maternal QTLs. The implications of our model for agricultural and evolutionary genetic research are discussed.
    Type of Medium: Online Resource
    ISSN: 0016-6723 , 1469-5073
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2005
    detail.hit.zdb_id: 1472156-9
    detail.hit.zdb_id: 205702-5
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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