Literature DB >> 23462502

Entering the second century of maize quantitative genetics.

J G Wallace1, S J Larsson, E S Buckler.   

Abstract

Maize is the most widely grown cereal in the world. In addition to its role in global agriculture, it has also long served as a model organism for genetic research. Maize stands at a genetic crossroads, as it has access to all the tools available for plant genetics but exhibits a genetic architecture more similar to other outcrossing organisms than to self-pollinating crops and model plants. In this review, we summarize recent advances in maize genetics, including the development of powerful populations for genetic mapping and genome-wide association studies (GWAS), and the insights these studies yield on the mechanisms underlying complex maize traits. Most maize traits are controlled by a large number of genes, and linkage analysis of several traits implicates a 'common gene, rare allele' model of genetic variation where some genes have many individually rare alleles contributing. Most natural alleles exhibit small effect sizes with little-to-no detectable pleiotropy or epistasis. Additionally, many of these genes are locked away in low-recombination regions that encourage the formation of multi-gene blocks that may underlie maize's strong heterotic effect. Domestication left strong marks on the maize genome, and some of the differences in trait architectures may be due to different selective pressures over time. Overall, maize's advantages as a model system make it highly desirable for studying the genetics of outcrossing species, and results from it can provide insight into other such species, including humans.

Entities:  

Mesh:

Year:  2013        PMID: 23462502      PMCID: PMC3860165          DOI: 10.1038/hdy.2013.6

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  74 in total

1.  A single domestication for maize shown by multilocus microsatellite genotyping.

Authors:  Yoshihiro Matsuoka; Yves Vigouroux; Major M Goodman; Jesus Sanchez G; Edward Buckler; John Doebley
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

2.  Comparative population genomics of maize domestication and improvement.

Authors:  Matthew B Hufford; Xun Xu; Joost van Heerwaarden; Tanja Pyhäjärvi; Jer-Ming Chia; Reed A Cartwright; Robert J Elshire; Jeffrey C Glaubitz; Kate E Guill; Shawn M Kaeppler; Jinsheng Lai; Peter L Morrell; Laura M Shannon; Chi Song; Nathan M Springer; Ruth A Swanson-Wagner; Peter Tiffin; Jun Wang; Gengyun Zhang; John Doebley; Michael D McMullen; Doreen Ware; Edward S Buckler; Shuang Yang; Jeffrey Ross-Ibarra
Journal:  Nat Genet       Date:  2012-06-03       Impact factor: 38.330

3.  Pervasive gene content variation and copy number variation in maize and its undomesticated progenitor.

Authors:  Ruth A Swanson-Wagner; Steven R Eichten; Sunita Kumari; Peter Tiffin; Joshua C Stein; Doreen Ware; Nathan M Springer
Journal:  Genome Res       Date:  2010-10-29       Impact factor: 9.043

4.  Dependence of the R-mottled aleurone phenotype in maize on mode of sexual transmission.

Authors:  J L Kermicle
Journal:  Genetics       Date:  1970-09       Impact factor: 4.562

5.  Dominance of Linked Factors as a Means of Accounting for Heterosis.

Authors:  D F Jones
Journal:  Genetics       Date:  1917-09       Impact factor: 4.562

6.  Sequence variants in the RNF212 gene associate with genome-wide recombination rate.

Authors:  Augustine Kong; Gudmar Thorleifsson; Hreinn Stefansson; Gisli Masson; Agnar Helgason; Daniel F Gudbjartsson; Gudrun M Jonsdottir; Sigurjon A Gudjonsson; Sverrir Sverrisson; Theodora Thorlacius; Aslaug Jonasdottir; Gudmundur A Hardarson; Stefan T Palsson; Michael L Frigge; Jeffrey R Gulcher; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Science       Date:  2008-01-31       Impact factor: 47.728

7.  Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize.

Authors:  Christian Riedelsheimer; Jan Lisec; Angelika Czedik-Eysenberg; Ronan Sulpice; Anna Flis; Christoph Grieder; Thomas Altmann; Mark Stitt; Lothar Willmitzer; Albrecht E Melchinger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-21       Impact factor: 11.205

8.  Genome-based prediction of testcross values in maize.

Authors:  Theresa Albrecht; Valentin Wimmer; Hans-Jürgen Auinger; Malena Erbe; Carsten Knaak; Milena Ouzunova; Henner Simianer; Chris-Carolin Schön
Journal:  Theor Appl Genet       Date:  2011-04-20       Impact factor: 5.699

9.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

10.  Reshaping of the maize transcriptome by domestication.

Authors:  Ruth Swanson-Wagner; Roman Briskine; Robert Schaefer; Matthew B Hufford; Jeffrey Ross-Ibarra; Chad L Myers; Peter Tiffin; Nathan M Springer
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

View more
  55 in total

1.  A remorin gene is implicated in quantitative disease resistance in maize.

Authors:  Tiffany M Jamann; Xingyu Luo; Laura Morales; Judith M Kolkman; Chia-Lin Chung; Rebecca J Nelson
Journal:  Theor Appl Genet       Date:  2016-02-05       Impact factor: 5.699

2.  Evolutionary Metabolomics Identifies Substantial Metabolic Divergence between Maize and Its Wild Ancestor, Teosinte.

Authors:  Guanghui Xu; Jingjing Cao; Xufeng Wang; Qiuyue Chen; Weiwei Jin; Zhen Li; Feng Tian
Journal:  Plant Cell       Date:  2019-06-21       Impact factor: 11.277

3.  Special issues on advances in quantitative genetics: introduction.

Authors:  B Walsh
Journal:  Heredity (Edinb)       Date:  2014-01       Impact factor: 3.821

4.  Differentially Regulated Orthologs in Sorghum and the Subgenomes of Maize.

Authors:  Yang Zhang; Daniel W Ngu; Daniel Carvalho; Zhikai Liang; Yumou Qiu; Rebecca L Roston; James C Schnable
Journal:  Plant Cell       Date:  2017-07-21       Impact factor: 11.277

5.  A study of allelic diversity underlying flowering-time adaptation in maize landraces.

Authors:  J Alberto Romero Navarro; Martha Willcox; Juan Burgueño; Cinta Romay; Kelly Swarts; Samuel Trachsel; Ernesto Preciado; Arturo Terron; Humberto Vallejo Delgado; Victor Vidal; Alejandro Ortega; Armando Espinoza Banda; Noel Orlando Gómez Montiel; Ivan Ortiz-Monasterio; Félix San Vicente; Armando Guadarrama Espinoza; Gary Atlin; Peter Wenzl; Sarah Hearne; Edward S Buckler
Journal:  Nat Genet       Date:  2017-02-06       Impact factor: 38.330

Review 6.  Exploiting induced and natural epigenetic variation for crop improvement.

Authors:  Nathan M Springer; Robert J Schmitz
Journal:  Nat Rev Genet       Date:  2017-07-03       Impact factor: 53.242

7.  Combined Large-Scale Phenotyping and Transcriptomics in Maize Reveals a Robust Growth Regulatory Network.

Authors:  Joke Baute; Dorota Herman; Frederik Coppens; Jolien De Block; Bram Slabbinck; Matteo Dell'Acqua; Mario Enrico Pè; Steven Maere; Hilde Nelissen; Dirk Inzé
Journal:  Plant Physiol       Date:  2016-01-11       Impact factor: 8.340

8.  A comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.).

Authors:  Yijun Wang; Jing Xu; Dexiang Deng; Haidong Ding; Yunlong Bian; Zhitong Yin; Yarong Wu; Bo Zhou; Ye Zhao
Journal:  Planta       Date:  2015-10-16       Impact factor: 4.116

9.  Unraveling genomic complexity at a quantitative disease resistance locus in maize.

Authors:  Tiffany M Jamann; Jesse A Poland; Judith M Kolkman; Laurie G Smith; Rebecca J Nelson
Journal:  Genetics       Date:  2014-07-09       Impact factor: 4.562

10.  A Simple Test Identifies Selection on Complex Traits.

Authors:  Tim Beissinger; Jochen Kruppa; David Cavero; Ngoc-Thuy Ha; Malena Erbe; Henner Simianer
Journal:  Genetics       Date:  2018-03-15       Impact factor: 4.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.