Literature DB >> 15956673

Optimal allocation in designs for assessing heterosis from cDNA gene expression data.

Hans-Peter Piepho1.   

Abstract

Heterosis is defined as the superiority of a hybrid cross over its two parents. Plant and animals breeders have long been exploiting heterosis, but the causes of this phenomenon are as yet only partly understood. Recently, chip technology has opened up the opportunity to study heterosis at the gene expression level. This article considers the cDNA chip technology, which allows assaying two genotypes simultaneously on the same chip. Heterosis involves the response of at least three genotypes (two parents and their hybrid), so a chip or microarray constitutes an incomplete block, which raises a design problem specific to heterosis studies. The question to be answered is how genotype pairs should be allocated to chips. We address this design problem for two types of heterosis: midparent heterosis and better-parent heterosis. The general picture emerging from our results is that most of the resources should be allocated to parent-hybrid pairs, while chips with parent-parent pairs or hybrid-reciprocal pairs should be used sparingly or not at all.

Mesh:

Year:  2005        PMID: 15956673      PMCID: PMC1456527          DOI: 10.1534/genetics.104.038448

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  14 in total

1.  Assessing gene significance from cDNA microarray expression data via mixed models.

Authors:  R D Wolfinger; G Gibson; E D Wolfinger; L Bennett; H Hamadeh; P Bushel; C Afshari; R S Paules
Journal:  J Comput Biol       Date:  2001       Impact factor: 1.479

2.  Comparison of microarray designs for class comparison and class discovery.

Authors:  K Dobbin; R Simon
Journal:  Bioinformatics       Date:  2002-11       Impact factor: 6.937

Review 3.  In search of the molecular basis of heterosis.

Authors:  James A Birchler; Donald L Auger; Nicole C Riddle
Journal:  Plant Cell       Date:  2003-10       Impact factor: 11.277

4.  Statistical design of reverse dye microarrays.

Authors:  K Dobbin; J H Shih; R Simon
Journal:  Bioinformatics       Date:  2003-05-01       Impact factor: 6.937

5.  Experimental design for gene expression microarrays.

Authors:  M K Kerr; G A Churchill
Journal:  Biostatistics       Date:  2001-06       Impact factor: 5.899

6.  Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

Authors:  C W Stuber; S E Lincoln; D W Wolff; T Helentjaris; E S Lander
Journal:  Genetics       Date:  1992-11       Impact factor: 4.562

7.  Genome-wide mRNA profiling reveals heterochronic allelic variation and a new imprinted gene in hybrid maize endosperm.

Authors:  Mei Guo; Mary A Rupe; Olga N Danilevskaya; Xiaofeng Yang; Zihua Hu
Journal:  Plant J       Date:  2003-10       Impact factor: 6.417

8.  Designing a microarray experiment to estimate dominance in maize (Zea mays L.).

Authors:  B Keller; K Emrich; N Hoecker; M Sauer; F Hochholdinger; H-P Piepho
Journal:  Theor Appl Genet       Date:  2005-05-11       Impact factor: 5.699

9.  Expression profiling of reciprocal maize hybrids divergent for cold germination and desiccation tolerance.

Authors:  Krishna P Kollipara; Imad N Saab; Robert D Wych; Michael J Lauer; George W Singletary
Journal:  Plant Physiol       Date:  2002-07       Impact factor: 8.340

10.  A random variance model for detection of differential gene expression in small microarray experiments.

Authors:  George W Wright; Richard M Simon
Journal:  Bioinformatics       Date:  2003-12-12       Impact factor: 6.937

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  3 in total

1.  Optimal design of genetic studies of gene expression with two-color microarrays in outbred crosses.

Authors:  Alex C Lam; Jingyuan Fu; Ritsert C Jansen; Chris S Haley; Dirk-Jan de Koning
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

2.  Heterosis in early seed development: a comparative study of F1 embryo and endosperm tissues 6 days after fertilization.

Authors:  Stephanie Jahnke; Barbara Sarholz; Alexander Thiemann; Vera Kühr; José F Gutiérrez-Marcos; Hartwig H Geiger; Hans-Peter Piepho; Stefan Scholten
Journal:  Theor Appl Genet       Date:  2009-11-11       Impact factor: 5.699

3.  Single-parent expression complementation contributes to phenotypic heterosis in maize hybrids.

Authors:  Jutta A Baldauf; Meiling Liu; Lucia Vedder; Peng Yu; Hans-Peter Piepho; Heiko Schoof; Dan Nettleton; Frank Hochholdinger
Journal:  Plant Physiol       Date:  2022-06-27       Impact factor: 8.005

  3 in total

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