Literature DB >> 27876803

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

S Bouchet1, P Bertin1, T Presterl2, P Jamin1, D Coubriche1, B Gouesnard3, J Laborde4, A Charcosset1.   

Abstract

Plant architecture, phenology and yield components of cultivated plants have repeatedly been shaped by selection to meet human needs and adaptation to different environments. Here we assessed the genetic architecture of 24 correlated maize traits that interact during plant cycle. Overall, 336 lines were phenotyped in a network of 9 trials and genotyped with 50K single-nucleotide polymorphisms. Phenology was the main factor of differentiation between genetic groups. Then yield components distinguished dents from lower yielding genetic groups. However, most of trait variation occurred within group and we observed similar overall and within group correlations, suggesting a major effect of pleiotropy and/or linkage. We found 34 quantitative trait loci (QTLs) for individual traits and six for trait combinations corresponding to PCA coordinates. Among them, only five were pleiotropic. We found a cluster of QTLs in a 5 Mb region around Tb1 associated with tiller number, ear row number and the first PCA axis, the latter being positively correlated to flowering time and negatively correlated to yield. Kn1 and ZmNIP1 were candidate genes for tillering, ZCN8 for leaf number and Rubisco Activase 1 for kernel weight. Experimental repeatabilities, numbers of QTLs and proportion of explained variation were higher for traits related to plant development such as tillering, leaf number and flowering time, than for traits affected by growth such as yield components. This suggests a simpler genetic determinism with larger individual QTL effects for the first category.

Entities:  

Mesh:

Year:  2016        PMID: 27876803      PMCID: PMC5315527          DOI: 10.1038/hdy.2016.88

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


  30 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

Review 2.  Flowering and apical meristem growth dynamics.

Authors:  Dorota Kwiatkowska
Journal:  J Exp Bot       Date:  2008-02-05       Impact factor: 6.992

3.  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

4.  Key impact of Vgt1 on flowering time adaptation in maize: evidence from association mapping and ecogeographical information.

Authors:  Sébastien Ducrocq; Delphine Madur; Jean-Baptiste Veyrieras; Létizia Camus-Kulandaivelu; Monika Kloiber-Maitz; Thomas Presterl; Milena Ouzunova; Domenica Manicacci; Alain Charcosset
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

5.  Do large effect QTL fractionate? A case study at the maize domestication QTL teosinte branched1.

Authors:  Anthony J Studer; John F Doebley
Journal:  Genetics       Date:  2011-04-21       Impact factor: 4.562

6.  Beyond flowering time: pleiotropic function of the maize flowering hormone florigen.

Authors:  Olga N Danilevskaya; Xin Meng; Brian McGonigle; Michael G Muszynski
Journal:  Plant Signal Behav       Date:  2011-09

7.  Maize introduction into Europe: the history reviewed in the light of molecular data.

Authors:  C Rebourg; M Chastanet; B Gouesnard; C Welcker; P Dubreuil; A Charcosset
Journal:  Theor Appl Genet       Date:  2002-11-27       Impact factor: 5.699

8.  Shoot meristem size is dependent on inbred background and presence of the maize homeobox gene, knotted1.

Authors:  E Vollbrecht; L Reiser; S Hake
Journal:  Development       Date:  2000-07       Impact factor: 6.868

9.  Distinct genetic architectures for male and female inflorescence traits of maize.

Authors:  Patrick J Brown; Narasimham Upadyayula; Gregory S Mahone; Feng Tian; Peter J Bradbury; Sean Myles; James B Holland; Sherry Flint-Garcia; Michael D McMullen; Edward S Buckler; Torbert R Rocheford
Journal:  PLoS Genet       Date:  2011-11-17       Impact factor: 5.917

10.  Adaptation of maize to temperate climates: mid-density genome-wide association genetics and diversity patterns reveal key genomic regions, with a major contribution of the Vgt2 (ZCN8) locus.

Authors:  Sophie Bouchet; Bertrand Servin; Pascal Bertin; Delphine Madur; Valérie Combes; Fabrice Dumas; Dominique Brunel; Jacques Laborde; Alain Charcosset; Stéphane Nicolas
Journal:  PLoS One       Date:  2013-08-30       Impact factor: 3.240

View more
  13 in total

1.  The Genetic Basis of Plant Architecture in 10 Maize Recombinant Inbred Line Populations.

Authors:  Qingchun Pan; Yuancheng Xu; Kun Li; Yong Peng; Wei Zhan; Wenqiang Li; Lin Li; Jianbing Yan
Journal:  Plant Physiol       Date:  2017-08-24       Impact factor: 8.340

2.  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

3.  Quantifying rooting at depth in a wheat doubled haploid population with introgression from wild emmer.

Authors:  Christina K Clarke; Peter J Gregory; Martin Lukac; Amanda J Burridge; Alexandra M Allen; Keith J Edwards; Mike J Gooding
Journal:  Ann Bot       Date:  2017-09-01       Impact factor: 4.357

Review 4.  Assessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes.

Authors:  Sangam L Dwivedi; Armin Scheben; David Edwards; Charles Spillane; Rodomiro Ortiz
Journal:  Front Plant Sci       Date:  2017-08-29       Impact factor: 5.753

5.  Finding a Needle in a Haystack: Distinguishing Mexican Maize Landraces Using a Small Number of SNPs.

Authors:  Jose L Caldu-Primo; Alicia Mastretta-Yanes; Ana Wegier; Daniel Piñero
Journal:  Front Genet       Date:  2017-04-18       Impact factor: 4.599

6.  Independent introductions and admixtures have contributed to adaptation of European maize and its American counterparts.

Authors:  Jean-Tristan Brandenburg; Tristan Mary-Huard; Guillem Rigaill; Sarah J Hearne; Hélène Corti; Johann Joets; Clémentine Vitte; Alain Charcosset; Stéphane D Nicolas; Maud I Tenaillon
Journal:  PLoS Genet       Date:  2017-03-16       Impact factor: 5.917

7.  Cellulose synthase-like D1 controls organ size in maize.

Authors:  Weiya Li; Zhixing Yang; Jieyuan Yao; Jiansheng Li; Weibin Song; Xiaohong Yang
Journal:  BMC Plant Biol       Date:  2018-10-16       Impact factor: 4.215

8.  An Automated Image Analysis Pipeline Enables Genetic Studies of Shoot and Root Morphology in Carrot (Daucus carota L.).

Authors:  Sarah D Turner; Shelby L Ellison; Douglas A Senalik; Philipp W Simon; Edgar P Spalding; Nathan D Miller
Journal:  Front Plant Sci       Date:  2018-11-27       Impact factor: 5.753

9.  Network trade-offs and homeostasis in Arabidopsis shoot architectures.

Authors:  Adam Conn; Arjun Chandrasekhar; Martin van Rongen; Ottoline Leyser; Joanne Chory; Saket Navlakha
Journal:  PLoS Comput Biol       Date:  2019-09-11       Impact factor: 4.475

10.  Interaction Between Induced and Natural Variation at oil yellow1 Delays Reproductive Maturity in Maize.

Authors:  Rajdeep S Khangura; Bala P Venkata; Sandeep R Marla; Michael V Mickelbart; Singha Dhungana; David M Braun; Brian P Dilkes; Gurmukh S Johal
Journal:  G3 (Bethesda)       Date:  2020-02-06       Impact factor: 3.154

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.