Literature DB >> 31960089

Molecular-assisted breeding for improved carbohydrate profiles in soybean seed.

Katherine B Hagely1, Hyun Jo2, Jeong-Hwa Kim1, Karen A Hudson3, Kristin Bilyeu4.   

Abstract

KEY MESSAGE: Two independent variant raffinose synthase 3 (RS3) alleles produced an equivalent phenotype and implicated the gene as a key contributor to soybean seed carbohydrate phenotype. Soybean is an important crop because the processed seed is utilized as a vegetable oil and a high protein meal typically used in livestock feeds. Raffinose and stachyose, the raffinose family of oligosaccharides (RFO) carbohydrate components of the seed, are synthesized in developing soybean seeds from sucrose and galactinol. Sucrose is considered positive for metabolizable energy, while RFO are anti-nutritional factors in diets of monogastric animals such as humans, poultry, and swine. To increase metabolizable energy available in soybean seed meal, prior research has been successful in deploying variant alleles of key soybean raffinose synthase (RS) genes leading to reductions or near elimination of seed RFO, with significant increases in seed sucrose. The objective of this research was to investigate the specific role of variants of the RS3 gene in a genomic context and improve molecular marker-assisted selection for the ultra-low (UL) RFO phenotype in soybean seeds. The results revealed a new variant of the RS3 allele (rs3 snp5, rs3 snp6) contributed to the UL RFO phenotype when mutant alleles of RS2 were present. The variant RS3 allele identified was present in about 15% of a small set of soybean cultivars released in North America. A missense allele of the RS3 gene (rs3 G75E) also produced the UL RFO phenotype when combined with mutant alleles of RS2. The discoveries reported here enable direct marker-assisted selection for an improved soybean meal trait that has the potential to add value to soybean by improving the metabolizable energy of the meal.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 31960089     DOI: 10.1007/s00122-020-03541-z

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


  18 in total

1.  THE HANDLING OF SOYA ALPHA-GALACTOSIDES BY A NORMAL AND A GALACTOSEMIC CHILD.

Authors:  R GITZELMANN; S AURICCHIO
Journal:  Pediatrics       Date:  1965-08       Impact factor: 7.124

2.  Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean.

Authors:  Zhengkui Zhou; Yu Jiang; Zheng Wang; Zhiheng Gou; Jun Lyu; Weiyu Li; Yanjun Yu; Liping Shu; Yingjun Zhao; Yanming Ma; Chao Fang; Yanting Shen; Tengfei Liu; Congcong Li; Qing Li; Mian Wu; Min Wang; Yunshuai Wu; Yang Dong; Wenting Wan; Xiao Wang; Zhaoli Ding; Yuedong Gao; Hui Xiang; Baoge Zhu; Suk-Ha Lee; Wen Wang; Zhixi Tian
Journal:  Nat Biotechnol       Date:  2015-02-02       Impact factor: 54.908

3.  Apparent metabolizable energy and apparent ileal amino acid digestibility of low and ultra-low oligosaccharide soybean meals fed to broiler chickens.

Authors:  K R Perryman; W A Dozier
Journal:  Poult Sci       Date:  2012-10       Impact factor: 3.352

4.  Effect of oligosaccharide-free soybean meal on true metabolizable energy and fiber digestion in adult roosters.

Authors:  C N Coon; K L Leske; O Akavanichan; T K Cheng
Journal:  Poult Sci       Date:  1990-05       Impact factor: 3.352

5.  Nutritional evaluation of soybean meals varying in oligosaccharide content.

Authors:  C M Parsons; Y Zhang; M Araba
Journal:  Poult Sci       Date:  2000-08       Impact factor: 3.352

6.  The influence of soy oligosaccharides on apparent and true ileal amino acid digestibilities and fecal consistency in growing pigs.

Authors:  M R Smiricky; C M Grieshop; D M Albin; J E Wubben; V M Gabert; G C Fahey
Journal:  J Anim Sci       Date:  2002-09       Impact factor: 3.159

7.  Environmental Stability of Seed Carbohydrate Profiles in Soybeans Containing Different Alleles of the Raffinose Synthase 2 (RS2) Gene.

Authors:  Kristin D Bilyeu; William J Wiebold
Journal:  J Agric Food Chem       Date:  2016-01-29       Impact factor: 5.279

8.  Genome sequence of the palaeopolyploid soybean.

Authors:  Jeremy Schmutz; Steven B Cannon; Jessica Schlueter; Jianxin Ma; Therese Mitros; William Nelson; David L Hyten; Qijian Song; Jay J Thelen; Jianlin Cheng; Dong Xu; Uffe Hellsten; Gregory D May; Yeisoo Yu; Tetsuya Sakurai; Taishi Umezawa; Madan K Bhattacharyya; Devinder Sandhu; Babu Valliyodan; Erika Lindquist; Myron Peto; David Grant; Shengqiang Shu; David Goodstein; Kerrie Barry; Montona Futrell-Griggs; Brian Abernathy; Jianchang Du; Zhixi Tian; Liucun Zhu; Navdeep Gill; Trupti Joshi; Marc Libault; Anand Sethuraman; Xue-Cheng Zhang; Kazuo Shinozaki; Henry T Nguyen; Rod A Wing; Perry Cregan; James Specht; Jane Grimwood; Dan Rokhsar; Gary Stacey; Randy C Shoemaker; Scott A Jackson
Journal:  Nature       Date:  2010-01-14       Impact factor: 49.962

9.  Major soybean maturity gene haplotypes revealed by SNPViz analysis of 72 sequenced soybean genomes.

Authors:  Tiffany Langewisch; Hongxin Zhang; Ryan Vincent; Trupti Joshi; Dong Xu; Kristin Bilyeu
Journal:  PLoS One       Date:  2014-04-11       Impact factor: 3.240

10.  Landscape of genomic diversity and trait discovery in soybean.

Authors:  Babu Valliyodan; Gunvant Patil; Peng Zeng; Jiaying Huang; Lu Dai; Chengxuan Chen; Yanjun Li; Trupti Joshi; Li Song; Tri D Vuong; Theresa A Musket; Dong Xu; J Grover Shannon; Cheng Shifeng; Xin Liu; Henry T Nguyen
Journal:  Sci Rep       Date:  2016-03-31       Impact factor: 4.379

View more
  7 in total

Review 1.  Multi-Omics Techniques for Soybean Molecular Breeding.

Authors:  Pan Cao; Ying Zhao; Fengjiao Wu; Dawei Xin; Chunyan Liu; Xiaoxia Wu; Jian Lv; Qingshan Chen; Zhaoming Qi
Journal:  Int J Mol Sci       Date:  2022-04-30       Impact factor: 6.208

2.  Workflow for the Quantification of Soluble and Insoluble Carbohydrates in Soybean Seed.

Authors:  Ademar Moretti; Cintia L Arias; Leandro A Mozzoni; Pengyin Chen; Brant T McNeece; M A Rouf Mian; Leah K McHale; Ana P Alonso
Journal:  Molecules       Date:  2020-08-21       Impact factor: 4.411

Review 3.  Raffinose Family Oligosaccharides: Friend or Foe for Human and Plant Health?

Authors:  Dinakaran Elango; Karthika Rajendran; Liza Van der Laan; Sheelamary Sebastiar; Joscif Raigne; Naveen A Thaiparambil; Noureddine El Haddad; Bharath Raja; Wanyan Wang; Antonella Ferela; Kevin O Chiteri; Mahendar Thudi; Rajeev K Varshney; Surinder Chopra; Arti Singh; Asheesh K Singh
Journal:  Front Plant Sci       Date:  2022-02-17       Impact factor: 5.753

4.  Proteomics data analysis using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane.

Authors:  Ao-Mei Li; Zhong-Liang Chen; Cui-Xian Qin; Zi-Tong Li; Fen Liao; Ming-Qiao Wang; Prakash Lakshmanan; Yang-Rui Li; Miao Wang; You-Qiang Pan; Dong-Liang Huang
Journal:  BMC Genomics       Date:  2022-07-22       Impact factor: 4.547

Review 5.  Raffinose family oligosaccharides (RFOs): role in seed vigor and longevity.

Authors:  Prafull Salvi; Vishal Varshney; Manoj Majee
Journal:  Biosci Rep       Date:  2022-10-28       Impact factor: 3.976

6.  Temporal changes in metabolism late in seed development affect biomass composition.

Authors:  Shrikaar Kambhampati; Jose A Aznar-Moreno; Sally R Bailey; Jennifer J Arp; Kevin L Chu; Kristin D Bilyeu; Timothy P Durrett; Doug K Allen
Journal:  Plant Physiol       Date:  2021-06-11       Impact factor: 8.340

7.  Genomic regions associated with important seed quality traits in food-grade soybeans.

Authors:  Rachel M Whiting; Sepideh Torabi; Lewis Lukens; Milad Eskandari
Journal:  BMC Plant Biol       Date:  2020-10-23       Impact factor: 4.215

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.