Literature DB >> 18695990

Overview of QTL detection in plants and tests for synergistic epistatic interactions.

Jean-Luc Jannink1, Laurence Moreau, Gilles Charmet, Alain Charcosset.   

Abstract

Improvements in the usefulness of QTL analysis arise from better statistical methods applied to the problem, ability to analyze more complex mating designs, and the fitting of less simplified genetic models. Here we review the advantages of different plant mating designs in QTL analysis and conclude that diallel designs have several favorable properties. We then turn to the detection of systematic genome-wide synergistic epistasis. This form of epistasis has important implications from evolutionary (maintenance of sexual reproduction and concealment of cryptic genetic variation) and practical perspectives (response to pyramided favorable alleles). We develop two methods for detecting systematic synergistic epistasis, one based on analyzing interactions between locus effects and predicted individual genotypic values and one based on analyzing pairwise locus interactions. Using the first method we detect synergistic epistasis in a barley and a wheat dataset but not in a maize dataset. We fail to detect synergistic epistasis with the second method. We discuss our results in the light of theoretical questions concerning the mechanisms of synergistic epistasis.

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Year:  2008        PMID: 18695990     DOI: 10.1007/s10709-008-9306-2

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  33 in total

1.  Mixed model analysis of quantitative trait loci.

Authors:  S Xu; N Yi
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

2.  Investigating the probability of sign inconsistency in the regression coefficients of markers flanking quantitative trait loci.

Authors:  J T Gene Hwang; Dan Nettleton
Journal:  Genetics       Date:  2002-04       Impact factor: 4.562

3.  Optimal sampling of a population to determine QTL location, variance, and allelic number.

Authors:  Xiao-Lin Wu; Jean-Luc Jannink
Journal:  Theor Appl Genet       Date:  2004-01-23       Impact factor: 5.699

4.  Estimating allelic number and identity in state of QTLs in interconnected families.

Authors:  Jean-Luc Jannink; Xiao-Lin Wu
Journal:  Genet Res       Date:  2003-04       Impact factor: 1.588

5.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

6.  Mapping quantitative trait loci using multiple families of line crosses.

Authors:  S Xu
Journal:  Genetics       Date:  1998-01       Impact factor: 4.562

7.  A bayesian approach to detect quantitative trait loci using Markov chain Monte Carlo.

Authors:  J M Satagopan; B S Yandell; M A Newton; T C Osborn
Journal:  Genetics       Date:  1996-10       Impact factor: 4.562

8.  Bayesian mapping of multiple quantitative trait loci from incomplete inbred line cross data.

Authors:  M J Sillanpää; E Arjas
Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

9.  Modular epistasis in yeast metabolism.

Authors:  Daniel Segrè; Alexander Deluna; George M Church; Roy Kishony
Journal:  Nat Genet       Date:  2004-12-12       Impact factor: 38.330

10.  Both additivity and epistasis control the genetic variation for fruit quality traits in tomato.

Authors:  Mathilde Causse; Jamila Chaïb; Laurent Lecomte; Michel Buret; Frédéric Hospital
Journal:  Theor Appl Genet       Date:  2007-06-15       Impact factor: 5.574

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  5 in total

1.  Homeologous Epistasis in Wheat: The Search for an Immortal Hybrid.

Authors:  Nicholas Santantonio; Jean-Luc Jannink; Mark Sorrells
Journal:  Genetics       Date:  2019-01-24       Impact factor: 4.562

Review 2.  What is crop heterosis: new insights into an old topic.

Authors:  Donghui Fu; Meili Xiao; Alice Hayward; Guanjie Jiang; Longrong Zhu; Qinghong Zhou; Jiqiang Li; Min Zhang
Journal:  J Appl Genet       Date:  2014-07-16       Impact factor: 3.240

3.  QTL mapping for resistance against cereal cyst nematode (Heterodera avenae Woll.) in wheat (Triticum aestivum L.).

Authors:  Saksham Pundir; Rajiv Sharma; Deepak Kumar; Vikas Kumar Singh; Deepti Chaturvedi; Rambir Singh Kanwar; Marion S Röder; Andreas Börner; Martin W Ganal; Pushpendra Kumar Gupta; Shailendra Sharma; Shiveta Sharma
Journal:  Sci Rep       Date:  2022-06-10       Impact factor: 4.996

4.  QTL, additive and epistatic effects for SCN resistance in PI 437654.

Authors:  Xiaolei Wu; Sean Blake; David A Sleper; J Grover Shannon; Perry Cregan; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2009-02-01       Impact factor: 5.699

5.  Epistatic interactions between Opaque2 transcriptional activator and its target gene CyPPDK1 control kernel trait variation in maize.

Authors:  Domenica Manicacci; Letizia Camus-Kulandaivelu; Marie Fourmann; Chantal Arar; Stéphanie Barrault; Agnès Rousselet; Noël Feminias; Luciano Consoli; Lisa Francès; Valérie Méchin; Alain Murigneux; Jean-Louis Prioul; Alain Charcosset; Catherine Damerval
Journal:  Plant Physiol       Date:  2009-03-27       Impact factor: 8.340

  5 in total

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