Literature DB >> 19185530

The emergence of whole genome association scans in barley.

Robbie Waugh1, Jean-Luc Jannink, Gary J Muehlbauer, Luke Ramsay.   

Abstract

Barley geneticists are currently using association genetics to identify and fine map traits directly in elite plant breeding material. This has been made possible by the development of a highly parallel SNP assay platform that provides sufficient marker density for genome-wide scans and linkage disequilibrium-led gene identification. By leveraging the combined resources of the barley research and breeding sectors, marker-trait associations are being identified and a renewed interest has emerged in novel strategies for barley improvement. New database and visualization tools have been developed and statistical methods adapted from human genetics to account for complexities in the datasets. Exciting early results suggest that association genetics will assume a central role in establishing genotype-to-phenotype relationships.

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Year:  2009        PMID: 19185530     DOI: 10.1016/j.pbi.2008.12.007

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  50 in total

1.  Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments.

Authors:  J Comadran; J R Russell; A Booth; A Pswarayi; S Ceccarelli; S Grando; A M Stanca; N Pecchioni; T Akar; A Al-Yassin; A Benbelkacem; H Ouabbou; J Bort; F A van Eeuwijk; W T B Thomas; I Romagosa
Journal:  Theor Appl Genet       Date:  2011-01-30       Impact factor: 5.699

2.  High resolution mapping of Dense spike-ar (dsp.ar) to the genetic centromere of barley chromosome 7H.

Authors:  Fahimeh Shahinnia; Arnis Druka; Jerome Franckowiak; Michele Morgante; Robbie Waugh; Nils Stein
Journal:  Theor Appl Genet       Date:  2011-09-30       Impact factor: 5.699

Review 3.  What has natural variation taught us about plant development, physiology, and adaptation?

Authors:  Carlos Alonso-Blanco; Mark G M Aarts; Leonie Bentsink; Joost J B Keurentjes; Matthieu Reymond; Dick Vreugdenhil; Maarten Koornneef
Journal:  Plant Cell       Date:  2009-07-02       Impact factor: 11.277

4.  Genome-wide association mapping of yield and yield components of spring wheat under contrasting moisture regimes.

Authors:  Erena A Edae; Patrick F Byrne; Scott D Haley; Marta S Lopes; Matthew P Reynolds
Journal:  Theor Appl Genet       Date:  2014-01-10       Impact factor: 5.699

5.  Effects of ascertainment bias and marker number on estimations of barley diversity from high-throughput SNP genotype data.

Authors:  M Moragues; J Comadran; R Waugh; I Milne; A J Flavell; Joanne R Russell
Journal:  Theor Appl Genet       Date:  2010-02-16       Impact factor: 5.699

6.  Effect of population size and unbalanced data sets on QTL detection using genome-wide association mapping in barley breeding germplasm.

Authors:  Hongyun Wang; Kevin P Smith; Emily Combs; Tom Blake; Richard D Horsley; Gary J Muehlbauer
Journal:  Theor Appl Genet       Date:  2011-09-07       Impact factor: 5.699

7.  Linkage disequilibrium and association analysis of stripe rust resistance in wild emmer wheat (Triticum turgidum ssp. dicoccoides) population in Israel.

Authors:  Hanan Sela; Smadar Ezrati; Pnina Ben-Yehuda; Jacob Manisterski; Eduard Akhunov; Jan Dvorak; Adina Breiman; Abraham Korol
Journal:  Theor Appl Genet       Date:  2014-09-16       Impact factor: 5.699

8.  A first step toward the development of a barley NAM population and its utilization to detect QTLs conferring leaf rust seedling resistance.

Authors:  Florian Schnaithmann; Doris Kopahnke; Klaus Pillen
Journal:  Theor Appl Genet       Date:  2014-05-06       Impact factor: 5.699

9.  High-throughput SNP discovery and genotyping in durum wheat (Triticum durum Desf.).

Authors:  Daniele Trebbi; Marco Maccaferri; Peter de Heer; Anker Sørensen; Silvia Giuliani; Silvio Salvi; Maria Corinna Sanguineti; Andrea Massi; Edwin Andries Gerard van der Vossen; Roberto Tuberosa
Journal:  Theor Appl Genet       Date:  2011-05-25       Impact factor: 5.699

10.  Genomic diversity and introgression in O. sativa reveal the impact of domestication and breeding on the rice genome.

Authors:  Keyan Zhao; Mark Wright; Jennifer Kimball; Georgia Eizenga; Anna McClung; Michael Kovach; Wricha Tyagi; Md Liakat Ali; Chih-Wei Tung; Andy Reynolds; Carlos D Bustamante; Susan R McCouch
Journal:  PLoS One       Date:  2010-05-24       Impact factor: 3.240

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