Literature DB >> 25301321

Dent and Flint maize diversity panels reveal important genetic potential for increasing biomass production.

R Rincent1, S Nicolas, S Bouchet, T Altmann, D Brunel, P Revilla, R A Malvar, J Moreno-Gonzalez, L Campo, A E Melchinger, W Schipprack, E Bauer, C-C Schoen, N Meyer, M Ouzunova, P Dubreuil, C Giauffret, D Madur, V Combes, F Dumas, C Bauland, P Jamin, J Laborde, P Flament, L Moreau, A Charcosset.   

Abstract

KEY MESSAGE: Genetic and phenotypic analysis of two complementary maize panels revealed an important variation for biomass yield. Flowering and biomass QTL were discovered by association mapping in both panels. The high whole plant biomass productivity of maize makes it a potential source of energy in animal feeding and biofuel production. The variability and the genetic determinism of traits related to biomass are poorly known. We analyzed two highly diverse panels of Dent and Flint lines representing complementary heterotic groups for Northern Europe. They were genotyped with the 50 k SNP-array and phenotyped as hybrids (crossed to a tester of the complementary pool) in a western European field trial network for traits related to flowering time, plant height, and biomass. The molecular information revealed to be a powerful tool for discovering different levels of structure and relatedness in both panels. This study revealed important variation and potential genetic progress for biomass production, even at constant precocity. Association mapping was run by combining genotypes and phenotypes in a mixed model with a random polygenic effect. This permitted the detection of significant associations, confirming height and flowering time quantitative trait loci (QTL) found in literature. Biomass yield QTL were detected in both panels but were unstable across the environments. Alternative kinship estimator only based on markers unlinked to the tested SNP increased the number of significant associations by around 40% with a satisfying control of the false positive rate. This study gave insights into the variability and the genetic architectures of biomass-related traits in Flint and Dent lines and suggests important potential of these two pools for breeding high biomass yielding hybrid varieties.

Entities:  

Mesh:

Year:  2014        PMID: 25301321     DOI: 10.1007/s00122-014-2379-7

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  39 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

Review 3.  Structure of linkage disequilibrium in plants.

Authors:  Sherry A Flint-Garcia; Jeffry M Thornsberry; Edward S Buckler
Journal:  Annu Rev Plant Biol       Date:  2003       Impact factor: 26.379

4.  Improved linear mixed models for genome-wide association studies.

Authors:  Jennifer Listgarten; Christoph Lippert; Carl M Kadie; Robert I Davidson; Eleazar Eskin; David Heckerman
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

5.  Mapping of a spontaneous mutation for early flowering time in maize highlights contrasting allelic series at two-linked QTL on chromosome 8.

Authors:  Fabien Chardon; Delphine Hourcade; Valérie Combes; Alain Charcosset
Journal:  Theor Appl Genet       Date:  2005-10-22       Impact factor: 5.699

6.  Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize.

Authors:  Silvio Salvi; Giorgio Sponza; Michele Morgante; Dwight Tomes; Xiaomu Niu; Kevin A Fengler; Robert Meeley; Evgueni V Ananiev; Sergei Svitashev; Edward Bruggemann; Bailin Li; Christine F Hainey; Slobodanka Radovic; Giusi Zaina; J-Antoni Rafalski; Scott V Tingey; Guo-Hua Miao; Ronald L Phillips; Roberto Tuberosa
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-26       Impact factor: 11.205

7.  Efficient methods to compute genomic predictions.

Authors:  P M VanRaden
Journal:  J Dairy Sci       Date:  2008-11       Impact factor: 4.034

8.  Maize adaptation to temperate climate: relationship between population structure and polymorphism in the Dwarf8 gene.

Authors:  Létizia Camus-Kulandaivelu; Jean-Baptiste Veyrieras; Delphine Madur; Valérie Combes; Marie Fourmann; Stéphanie Barraud; Pierre Dubreuil; Brigitte Gouesnard; Domenica Manicacci; Alain Charcosset
Journal:  Genetics       Date:  2006-01-16       Impact factor: 4.562

9.  A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome.

Authors:  Martin W Ganal; Gregor Durstewitz; Andreas Polley; Aurélie Bérard; Edward S Buckler; Alain Charcosset; Joseph D Clarke; Eva-Maria Graner; Mark Hansen; Johann Joets; Marie-Christine Le Paslier; Michael D McMullen; Pierre Montalent; Mark Rose; Chris-Carolin Schön; Qi Sun; Hildrun Walter; Olivier C Martin; Matthieu Falque
Journal:  PLoS One       Date:  2011-12-08       Impact factor: 3.240

10.  Empirical comparison of Simple Sequence Repeats and single nucleotide polymorphisms in assessment of maize diversity and relatedness.

Authors:  Martha T Hamblin; Marilyn L Warburton; Edward S Buckler
Journal:  PLoS One       Date:  2007-12-26       Impact factor: 3.240

View more
  22 in total

1.  High-Throughput Phenotyping and QTL Mapping Reveals the Genetic Architecture of Maize Plant Growth.

Authors:  Xuehai Zhang; Chenglong Huang; Di Wu; Feng Qiao; Wenqiang Li; Lingfeng Duan; Ke Wang; Yingjie Xiao; Guoxing Chen; Qian Liu; Lizhong Xiong; Wanneng Yang; Jianbing Yan
Journal:  Plant Physiol       Date:  2017-01-30       Impact factor: 8.340

2.  Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits.

Authors:  S Bouchet; P Bertin; T Presterl; P Jamin; D Coubriche; B Gouesnard; J Laborde; A Charcosset
Journal:  Heredity (Edinb)       Date:  2016-11-23       Impact factor: 3.821

3.  Accounting for Group-Specific Allele Effects and Admixture in Genomic Predictions: Theory and Experimental Evaluation in Maize.

Authors:  Simon Rio; Laurence Moreau; Alain Charcosset; Tristan Mary-Huard
Journal:  Genetics       Date:  2020-07-17       Impact factor: 4.562

4.  Improving genomic predictions with inbreeding and nonadditive effects in two admixed maize hybrid populations in single and multienvironment contexts.

Authors:  Morgane Roth; Aurélien Beugnot; Tristan Mary-Huard; Laurence Moreau; Alain Charcosset; Julie B Fiévet
Journal:  Genetics       Date:  2022-04-04       Impact factor: 4.402

5.  Assessment of breeding programs sustainability: application of phenotypic and genomic indicators to a North European grain maize program.

Authors:  Antoine Allier; Simon Teyssèdre; Christina Lehermeier; Bruno Claustres; Stéphane Maltese; Stéphane Melkior; Laurence Moreau; Alain Charcosset
Journal:  Theor Appl Genet       Date:  2019-01-21       Impact factor: 5.699

6.  Genotyping-by-sequencing highlights original diversity patterns within a European collection of 1191 maize flint lines, as compared to the maize USDA genebank.

Authors:  Brigitte Gouesnard; Sandra Negro; Amélie Laffray; Jeff Glaubitz; Albrecht Melchinger; Pedro Revilla; Jesus Moreno-Gonzalez; Delphine Madur; Valérie Combes; Christine Tollon-Cordet; Jacques Laborde; Dominique Kermarrec; Cyril Bauland; Laurence Moreau; Alain Charcosset; Stéphane Nicolas
Journal:  Theor Appl Genet       Date:  2017-08-05       Impact factor: 5.699

7.  Genetic architecture of maize kernel row number and whole genome prediction.

Authors:  Lei Liu; Yanfang Du; Dongao Huo; Man Wang; Xiaomeng Shen; Bing Yue; Fazhan Qiu; Yonglian Zheng; Jianbing Yan; Zuxin Zhang
Journal:  Theor Appl Genet       Date:  2015-07-19       Impact factor: 5.699

8.  Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays.

Authors:  Matteo Dell'Acqua; Daniel M Gatti; Giorgio Pea; Federica Cattonaro; Frederik Coppens; Gabriele Magris; Aye L Hlaing; Htay H Aung; Hilde Nelissen; Joke Baute; Elisabetta Frascaroli; Gary A Churchill; Dirk Inzé; Michele Morgante; Mario Enrico Pè
Journal:  Genome Biol       Date:  2015-09-11       Impact factor: 13.583

9.  Targeted Sequencing Reveals Large-Scale Sequence Polymorphism in Maize Candidate Genes for Biomass Production and Composition.

Authors:  Moses M Muraya; Thomas Schmutzer; Chris Ulpinnis; Uwe Scholz; Thomas Altmann
Journal:  PLoS One       Date:  2015-07-07       Impact factor: 3.240

10.  Genomic selection efficiency and a priori estimation of accuracy in a structured dent maize panel.

Authors:  Simon Rio; Tristan Mary-Huard; Laurence Moreau; Alain Charcosset
Journal:  Theor Appl Genet       Date:  2018-10-04       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.