Literature DB >> 25645377

QTL mapping based on the embryo and maternal genetic systems for non-essential amino acids in rapeseed (Brassica napus L.) meal.

Juan Wen1, Jian-Feng Xu1, Yan Long2, Jian-Guo Wu3, Hai-Ming Xu1, Jin-Ling Meng2, Chun-Hai Shi1.   

Abstract

BACKGROUND: Non-essential amino acids are a good source of nitrogen and also very important contributors to the metabolic process. Analysis of quantitative trait locus (QTL) simultaneously located on the amphidiploid embryo and maternal plant nuclear genomes for non-essential amino acid contents in rapeseed meal across different environments was conducive to further clarify the genetic mechanism of seed quality traits.
RESULTS: Twenty-eight QTLs associated with arginine (five QTLs), histidine (four QTLs), glutamic acid (three QTLs), glycine (three QTLs), proline (three QTLs), alanine (four QTLs) and aspartic acid (six QTLs) contents were identified in present study. All of these QTLs had significant additive main effects from embryo and maternal plant nuclear genomes with eight of them showing significant embryo dominance main effects and 12 showing notable QTL × environment interaction effects. Among them, 12 QTLs were major QTLs which could explain 13.27-35.71% of the phenotypic variation. Specially, five QTL clusters associated with several QTLs related to multiple traits were distributed on chromosomes A1, A4, A5, A7 and C2.
CONCLUSION: Non-essential amino acids in rapeseed meal could be simultaneously controlled by the genetic effects from the QTLs which were located on the chromosomes both in the embryo and maternal plant genetic systems.
© 2015 Society of Chemical Industry.

Entities:  

Keywords:  Brassica napus L.; QTL; QTL main effect; QTL × environment (QE) interaction effect; non-essential amino acids; quantitative trait

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Year:  2015        PMID: 25645377     DOI: 10.1002/jsfa.7112

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  3 in total

1.  Seed Quality Traits Can Be Predicted with High Accuracy in Brassica napus Using Genomic Data.

Authors:  Jun Zou; Yusheng Zhao; Peifa Liu; Lei Shi; Xiaohua Wang; Meng Wang; Jinling Meng; Jochen Christoph Reif
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

Review 2.  Enhancing the Nutritional Quality of Major Food Crops Through Conventional and Genomics-Assisted Breeding.

Authors:  Kiran B Gaikwad; Sushma Rani; Manjeet Kumar; Vikas Gupta; Prashanth H Babu; Naresh Kumar Bainsla; Rajbir Yadav
Journal:  Front Nutr       Date:  2020-11-26

3.  Genomic Regions Associated With Seed Meal Quality Traits in Brassica napus Germplasm.

Authors:  Gurleen Bhinder; Sanjula Sharma; Harjeevan Kaur; Javed Akhatar; Meenakshi Mittal; Surinder Sandhu
Journal:  Front Plant Sci       Date:  2022-07-14       Impact factor: 6.627

  3 in total

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