Literature DB >> 29305230

Genome-wide Scan for Seed Composition Provides Insights into Soybean Quality Improvement and the Impacts of Domestication and Breeding.

Jiaoping Zhang1, Xianzhi Wang1, Yaming Lu1, Siddhi J Bhusal1, Qijian Song2, Perry B Cregan2, Yang Yen3, Michael Brown4, Guo-Liang Jiang5.   

Abstract

The complex genetic architecture of quality traits has hindered efforts to modify seed nutrients in soybean. Genome-wide association studies were conducted for seed composition, including protein, oil, fatty acids, and amino acids, using 313 diverse soybean germplasm accessions genotyped with a high-density SNP array. A total of 87 chromosomal regions were identified to be associated with seed composition, explaining 8%-89% of genetic variances. The candidate genes GmSAT1, AK-HSDH, SACPD-C, and FAD3A of known function, and putative MtN21 nodulin, FATB, and steroid-5-α-reductase involved in N2 fixation, amino acid biosynthesis, and fatty acid metabolism were found at the major-effect loci. Further analysis of additional germplasm accessions indicated that these major-effect loci had been subjected to domestication or modern breeding selection, and the allelic variants and distributions were relevant to geographic regions. We also revealed that amino acid concentrations related to seed weight and to total protein had a different genetic basis. This helps uncover the in-depth genetic mechanism of the intricate relationships among the seed compounds. Thus, our study not only provides valuable genes and markers for soybean nutrient improvement, both quantitatively and qualitatively, but also offers insights into the alteration of soybean quality during domestication and breeding.
Copyright © 2017 The Author. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GWAS; candidate genes; domestication and breeding; genome-wide association study; quality improvement; seed composition; soybean

Mesh:

Substances:

Year:  2018        PMID: 29305230     DOI: 10.1016/j.molp.2017.12.016

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  23 in total

1.  Reference Genes and Expression Analysis of Seed Desaturases Genes in Soybean Mutant Accessions.

Authors:  Luiz Cláudio Costa Silva; Danyelle Barbosa Mayrink; Rafael Delmond Bueno; Newton Deniz Piovesan; Cleberson Ribeiro; Maximiller Dal-Bianco
Journal:  Biochem Genet       Date:  2021-09-23       Impact factor: 1.890

2.  Identification of quantitative trait loci associated with seed quality traits between Canadian and Ukrainian mega-environments using genome-wide association study.

Authors:  Huilin Hong; Mohsen Yoosefzadeh Najafabadi; Davoud Torkamaneh; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2022-06-18       Impact factor: 5.574

3.  Domestication and improvement genes reveal the differences of seed size- and oil-related traits in soybean domestication and improvement.

Authors:  Jian-Fang Zuo; Muhammad Ikram; Jin-Yang Liu; Chun-Yu Han; Yuan Niu; Jim M Dunwell; Yuan-Ming Zhang
Journal:  Comput Struct Biotechnol J       Date:  2022-06-13       Impact factor: 6.155

4.  Bacteriophage Control of Pseudomonas savastanoi pv. glycinea in Soybean.

Authors:  Rashit I Tarakanov; Anna A Lukianova; Peter V Evseev; Stepan V Toshchakov; Eugene E Kulikov; Alexander N Ignatov; Konstantin A Miroshnikov; Fevzi S-U Dzhalilov
Journal:  Plants (Basel)       Date:  2022-03-30

5.  Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat (Avena sativa L.).

Authors:  Maryn O Carlson; Gracia Montilla-Bascon; Owen A Hoekenga; Nicholas A Tinker; Jesse Poland; Matheus Baseggio; Mark E Sorrells; Jean-Luc Jannink; Michael A Gore; Trevor H Yeats
Journal:  G3 (Bethesda)       Date:  2019-09-04       Impact factor: 3.154

6.  Expression regulation of myo-inositol 3-phosphate synthase 1 (INO1) in determination of phytic acid accumulation in rice grain.

Authors:  Ishara Perera; Ayaka Fukushima; Tatsuki Akabane; Genki Horiguchi; Saman Seneweera; Naoki Hirotsu
Journal:  Sci Rep       Date:  2019-10-16       Impact factor: 4.379

7.  Genome Wide Association Study and Genomic Selection of Amino Acid Concentrations in Soybean Seeds.

Authors:  Jun Qin; Ainong Shi; Qijian Song; Song Li; Fengmin Wang; Yinghao Cao; Waltram Ravelombola; Qi Song; Chunyan Yang; Mengchen Zhang
Journal:  Front Plant Sci       Date:  2019-11-15       Impact factor: 5.753

Review 8.  Impacts of genomic research on soybean improvement in East Asia.

Authors:  Man-Wah Li; Zhili Wang; Bingjun Jiang; Akito Kaga; Fuk-Ling Wong; Guohong Zhang; Tianfu Han; Gyuhwa Chung; Henry Nguyen; Hon-Ming Lam
Journal:  Theor Appl Genet       Date:  2019-10-23       Impact factor: 5.699

9.  Quantitative trait loci analysis of seed oil content and composition of wild and cultivated soybean.

Authors:  Yanjie Yao; Qingbo You; Guozhan Duan; Jianjun Ren; Shanshan Chu; Junqing Zhao; Xia Li; Xinan Zhou; Yongqing Jiao
Journal:  BMC Plant Biol       Date:  2020-01-31       Impact factor: 4.215

10.  A Combined Linkage and GWAS Analysis Identifies QTLs Linked to Soybean Seed Protein and Oil Content.

Authors:  Tengfei Zhang; Tingting Wu; Liwei Wang; Bingjun Jiang; Caixin Zhen; Shan Yuan; Wensheng Hou; Cunxiang Wu; Tianfu Han; Shi Sun
Journal:  Int J Mol Sci       Date:  2019-11-25       Impact factor: 5.923

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