Literature DB >> 30951092

Association Analysis of Three Diverse Rice (Oryza sativa L.) Germplasm Collections for Loci Regulating Grain Quality Traits.

Trevis D Huggins, Ming-Hsuan Chen, Robert G Fjellstrom, Aaron K Jackson, Anna M McClung, Jeremy D Edwards.   

Abstract

Rice ( L.) end-use cooking quality is vital for producers and billions of consumers worldwide. Grain quality is a complex trait with interacting genetic and environmental factors. Deciphering the complex genetic architecture associated with grain quality provides essential information for improved breeding strategies to enhance desirable traits that are stable across variable climatic and environmental conditions. In this study, genome-wide association (GWA) analysis of three rice diversity panels, the USDA rice core subset (1364 accessions), the minicore (MC) (173 accessions after removing non-), and the high density rice array-MC (HDMC) (383 accessions), with simple sequence repeats, single nucleotide polymorphic markers, or both, revealed large- and small-effect loci associated with known genes and previously uncharacterized genomic regions. Clustering of the significant regions in the GWA results suggests that multiple grain quality traits are inherited together. The 11 novel candidate loci for grain quality traits and the seven candidates for grain chalk identified are involved in the starch biosynthesis pathway. This study highlights the intricate pleiotropic relationships that exist in complex genotype-phenotypic associations and gives a greater insight into effective breeding strategies for grain quality improvement.
Copyright © 2019 Crop Science Society of America.

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Year:  2019        PMID: 30951092     DOI: 10.3835/plantgenome2017.09.0085

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


  7 in total

1.  A Coordinated Suite of Wild-Introgression Lines in Indica and Japonica Elite Backgrounds.

Authors:  Namrata Singh; Diane R Wang; Liakat Ali; HyunJung Kim; Kazi M Akther; Sandra E Harrington; Ju-Won Kang; Ehsan Shakiba; Yuxin Shi; Genevieve DeClerck; Byron Meadows; Vishnu Govindaraj; Sang-Nag Ahn; Georgia C Eizenga; Susan R McCouch
Journal:  Front Plant Sci       Date:  2020-11-12       Impact factor: 5.753

2.  Assessment of Rice Sheath Blight Resistance Including Associations with Plant Architecture, as Revealed by Genome-Wide Association Studies.

Authors:  Danting Li; Fantao Zhang; Shannon R M Pinson; Jeremy D Edwards; Aaron K Jackson; Xiuzhong Xia; Georgia C Eizenga
Journal:  Rice (N Y)       Date:  2022-06-18       Impact factor: 5.638

3.  Superior haplotypes towards development of low glycemic index rice with preferred grain and cooking quality.

Authors:  Ramchander Selvaraj; Arun Kumar Singh; Vikas Kumar Singh; Ragavendran Abbai; Sonali Vijay Habde; Uma Maheshwar Singh; Arvind Kumar
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

4.  Identification of Superior Alleles for Seedling Stage Salt Tolerance in the USDA Rice Mini-Core Collection.

Authors:  Jai S Rohila; Jeremy D Edwards; Gioi D Tran; Aaron K Jackson; Anna M McClung
Journal:  Plants (Basel)       Date:  2019-11-05

5.  High Resistant Starch Rice: Variation in Starch Related SNPs, and Functional, and Sensory Properties.

Authors:  Ming-Hsuan Chen; Karen Bett-Garber; Jeanne Lea; Anna McClung; Christine Bergman
Journal:  Foods       Date:  2021-12-30

6.  Relationships Among Arsenic-Related Traits, Including Rice Grain Arsenic Concentration and Straighthead Resistance, as Revealed by Genome-Wide Association.

Authors:  Shannon R M Pinson; D Jo Heuschele; Jeremy D Edwards; Aaron K Jackson; Santosh Sharma; Jinyoung Y Barnaby
Journal:  Front Genet       Date:  2022-03-14       Impact factor: 4.599

7.  Development of core-collections for Guizhou tea genetic resources and GWAS of leaf size using SNP developed by genotyping-by-sequencing.

Authors:  Suzhen Niu; Hisashi Koiwa; Qinfei Song; Dahe Qiao; Juan Chen; Degang Zhao; Zhengwu Chen; Ying Wang; Tianyuan Zhang
Journal:  PeerJ       Date:  2020-03-13       Impact factor: 2.984

  7 in total

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