Literature DB >> 25490985

Genome-wide association study for grain yield and related traits in an elite spring wheat population grown in temperate irrigated environments.

Sivakumar Sukumaran1, Susanne Dreisigacker, Marta Lopes, Perla Chavez, Matthew P Reynolds.   

Abstract

KEY MESSAGE: Through genome-wide association study, loci for grain yield and yield components were identified in chromosomes 5A and 6A in spring wheat (Triticum aestivum). Genome-wide association study (GWAS) was conducted for grain yield (YLD) and yield components on a wheat association mapping initiative (WAMI) population of 287 elite, spring wheat lines grown under temperate irrigated high-yield potential condition in Ciudad Obregón, Mexico, during four crop cycles (from 2009-2010 to 2012-2013). The population was genotyped with high-density Illumina iSelect 90K single nucleotide polymorphisms (SNPs) assay. An analysis of traits across subpopulations indicated that lines with 1B/1R translocation had higher YLD, grain weight, and taller plants than lines without the translocation. GWAS using 18,704 SNPs identified 31 loci that explained 5-14 % of the variation in individual traits. We identified SNPs in chromosome 5A and 6A that were significantly associated with yield and yield components. Four loci were detected for YLD in chromosomes 3B, 5A, 5B, and 6A and the locus in 5A explained 5 % of the variation for grain number/m(2). The locus for YLD in chromosome 6A also explained 6 % of the variation in grain weight. Loci significantly associated with maturity were identified in chromosomes 2B, 3B, 4B, 4D, and 6A and for plant height in 1A and 6A. Loci were also detected for canopy temperature at grain filling (2D, 4D, 6A), chlorophyll index at grain filling (3B and 6A), biomass (3D and 6A) and harvest index (1D, 1B, and 3B) that explained 5-10 % variation. These markers will be further validated.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25490985     DOI: 10.1007/s00122-014-2435-3

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


  22 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.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

Review 3.  Physiological traits for improving heat tolerance in wheat.

Authors:  C Mariano Cossani; Matthew P Reynolds
Journal:  Plant Physiol       Date:  2012-10-09       Impact factor: 8.340

4.  GAPIT: genome association and prediction integrated tool.

Authors:  Alexander E Lipka; Feng Tian; Qishan Wang; Jason Peiffer; Meng Li; Peter J Bradbury; Michael A Gore; Edward S Buckler; Zhiwu Zhang
Journal:  Bioinformatics       Date:  2012-07-13       Impact factor: 6.937

5.  Population structure, genetic diversity and linkage disequilibrium in elite winter wheat assessed with SNP and SSR markers.

Authors:  Tobias Würschum; Simon M Langer; C Friedrich H Longin; Viktor Korzun; Eduard Akhunov; Erhard Ebmeyer; Ralf Schachschneider; Johannes Schacht; Ebrahim Kazman; Jochen C Reif
Journal:  Theor Appl Genet       Date:  2013-02-22       Impact factor: 5.699

6.  Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects.

Authors:  R Suzuky Pinto; Matthew P Reynolds; Ky L Mathews; C Lynne McIntyre; Juan-Jose Olivares-Villegas; Scott C Chapman
Journal:  Theor Appl Genet       Date:  2010-06-04       Impact factor: 5.699

7.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

8.  Population- and genome-specific patterns of linkage disequilibrium and SNP variation in spring and winter wheat (Triticum aestivum L.).

Authors:  Shiaoman Chao; Jorge Dubcovsky; Jan Dvorak; Ming-Cheng Luo; Stephen P Baenziger; Rustam Matnyazov; Dale R Clark; Luther E Talbert; James A Anderson; Susanne Dreisigacker; Karl Glover; Jianli Chen; Kim Campbell; Phil L Bruckner; Jackie C Rudd; Scott Haley; Brett F Carver; Sid Perry; Mark E Sorrells; Eduard D Akhunov
Journal:  BMC Genomics       Date:  2010-12-29       Impact factor: 3.969

9.  Genetic and association mapping study of wheat agronomic traits under contrasting water regimes.

Authors:  Dejan Dodig; Miroslav Zoric; Borislav Kobiljski; Jasna Savic; Vesna Kandic; Steve Quarrie; Jeremy Barnes
Journal:  Int J Mol Sci       Date:  2012-05-18       Impact factor: 6.208

10.  Food security: the challenge of increasing wheat yield and the importance of not compromising food safety.

Authors:  T Curtis; N G Halford
Journal:  Ann Appl Biol       Date:  2014-02-21       Impact factor: 2.750

View more
  127 in total

Review 1.  Genomewide association study for seeding emergence and tiller number using SNP markers in an elite winter wheat population.

Authors:  Guang Feng Chen; Ru Gang Wu; Dong Mei Li; Hai Xia Yu; Zhiying Deng; Ji Chun Tian
Journal:  J Genet       Date:  2017-03       Impact factor: 1.166

2.  Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico.

Authors:  Sivakumar Sukumaran; Jose Crossa; Diego Jarquin; Marta Lopes; Matthew P Reynolds
Journal:  G3 (Bethesda)       Date:  2017-02-09       Impact factor: 3.154

3.  Genome-wide association studies for yield-related traits in soft red winter wheat grown in Virginia.

Authors:  Brian P Ward; Gina Brown-Guedira; Frederic L Kolb; David A Van Sanford; Priyanka Tyagi; Clay H Sneller; Carl A Griffey
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

4.  Sewage waste water application improves the productivity of diverse wheat (Triticum aestivum L.) cultivars on a sandy loam soil.

Authors:  Muhammad Ijaz; Abdul Waheed; Sami Ul-Allah; Ahmad Nawaz; Allah Wasaya; Abdul Sattar; Ahmad Sher
Journal:  Environ Sci Pollut Res Int       Date:  2019-04-17       Impact factor: 4.223

5.  Exome association analysis sheds light onto leaf rust (Puccinia triticina) resistance genes currently used in wheat breeding (Triticum aestivum L.).

Authors:  Fang Liu; Yusheng Zhao; Sebastian Beier; Yong Jiang; Patrick Thorwarth; C Friedrich H Longin; Martin Ganal; Axel Himmelbach; Jochen C Reif; Albert W Schulthess
Journal:  Plant Biotechnol J       Date:  2019-12-20       Impact factor: 9.803

6.  Genome-wide variation patterns between landraces and cultivars uncover divergent selection during modern wheat breeding.

Authors:  Jindong Liu; Awais Rasheed; Zhonghu He; Muhammad Imtiaz; Anjuman Arif; Tariq Mahmood; Abdul Ghafoor; Sadar Uddin Siddiqui; Muhammad Kashif Ilyas; Weie Wen; Fengmei Gao; Chaojie Xie; Xianchun Xia
Journal:  Theor Appl Genet       Date:  2019-05-28       Impact factor: 5.699

7.  Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.).

Authors:  Gaëtan Touzy; Renaud Rincent; Matthieu Bogard; Stephane Lafarge; Pierre Dubreuil; Agathe Mini; Jean-Charles Deswarte; Katia Beauchêne; Jacques Le Gouis; Sébastien Praud
Journal:  Theor Appl Genet       Date:  2019-07-19       Impact factor: 5.699

8.  Breeding for dual-purpose wheat varieties using marker-trait associations for biomass yield and quality traits.

Authors:  Pernille L Malik; Luc Janss; Linda K Nielsen; Finn Borum; Henning Jørgensen; Birger Eriksen; Jan K Schjoerring; Søren K Rasmussen
Journal:  Theor Appl Genet       Date:  2019-09-25       Impact factor: 5.699

9.  Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers.

Authors:  Faji Li; Weie Wen; Zhonghu He; Jindong Liu; Hui Jin; Shuanghe Cao; Hongwei Geng; Jun Yan; Pingzhi Zhang; Yingxiu Wan; Xianchun Xia
Journal:  Theor Appl Genet       Date:  2018-06-01       Impact factor: 5.699

10.  Genome-wide association study reveals genetic architecture of coleoptile length in wheat.

Authors:  Genqiao Li; Guihua Bai; Brett F Carver; Norman C Elliott; Rebecca S Bennett; Yanqi Wu; Robert Hunger; J Michael Bonman; Xiangyang Xu
Journal:  Theor Appl Genet       Date:  2016-11-14       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.