Literature DB >> 30512035

Genome-Wide Association Study Using Historical Breeding Populations Discovers Genomic Regions Involved in High-Quality Rice.

Gastón Quero, Lucía Gutiérrez, Eliana Monteverde, Pedro Blanco, Fernando Pérez de Vida, Juan Rosas, Schubert Fernández, Silvia Garaycochea, Susan McCouch, Natalia Berberian, Sebastián Simondi, Victoria Bonnecarrère.   

Abstract

Rice ( L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genome-wide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the population that was associated with all quality traits and we identified favorable haplotypes. Furthermore, this region is linked to the gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In , we also found two putative QTL linked to , , and . Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs.
Copyright © 2018 Crop Science Society of America.

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Year:  2018        PMID: 30512035     DOI: 10.3835/plantgenome2017.08.0076

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  5 in total

1.  Genetic architecture of photosynthesis energy partitioning as revealed by a genome-wide association approach.

Authors:  Gastón Quero; Victoria Bonnecarrère; Sebastián Simondi; Jorge Santos; Sebastián Fernández; Lucía Gutierrez; Silvia Garaycochea; Omar Borsani
Journal:  Photosynth Res       Date:  2020-02-18       Impact factor: 3.573

2.  Integrating Molecular Markers and Environmental Covariates To Interpret Genotype by Environment Interaction in Rice (Oryza sativa L.) Grown in Subtropical Areas.

Authors:  Eliana Monteverde; Lucía Gutierrez; Pedro Blanco; Fernando Pérez de Vida; Juan E Rosas; Victoria Bonnecarrère; Gastón Quero; Susan McCouch
Journal:  G3 (Bethesda)       Date:  2019-05-07       Impact factor: 3.154

3.  Genome-Wide Association Study of Root System Development at Seedling Stage in Rice.

Authors:  Hongjia Zhang; Mar Lar San; Seong-Gyu Jang; Ja-Hong Lee; Na-Eun Kim; Ah-Rim Lee; So-Yeon Park; Fang-Yuan Cao; Joong-Hyoun Chin; Soon-Wook Kwon
Journal:  Genes (Basel)       Date:  2020-11-25       Impact factor: 4.096

4.  Fine Mapping of Two Major Quantitative Trait Loci for Rice Chalkiness With High Temperature-Enhanced Additive Effects.

Authors:  Weifeng Yang; Qingwen Hao; Jiayan Liang; Quanya Tan; Xin Luan; Shaojun Lin; Haitao Zhu; Suhong Bu; Zupei Liu; Guifu Liu; Shaokui Wang; Guiquan Zhang
Journal:  Front Plant Sci       Date:  2022-06-30       Impact factor: 6.627

5.  Genome-wide association coupled gene to gene interaction studies unveil novel epistatic targets among major effect loci impacting rice grain chalkiness.

Authors:  Gopal Misra; Saurabh Badoni; Sabiha Parween; Rakesh Kumar Singh; Hei Leung; OluFunmilayo Ladejobi; Richard Mott; Nese Sreenivasulu
Journal:  Plant Biotechnol J       Date:  2020-12-09       Impact factor: 9.803

  5 in total

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