Literature DB >> 28322451

Genome-wide association studies with proteomics data reveal genes important for synthesis, transport and packaging of globulins in legume seeds.

Christine Le Signor1, Delphine Aimé1, Amandine Bordat2, Maya Belghazi3, Valérie Labas4, Jérôme Gouzy5, Nevin D Young6, Jean-Marie Prosperi7, Olivier Leprince8, Richard D Thompson1, Julia Buitink8, Judith Burstin1, Karine Gallardo1.   

Abstract

Improving nutritional seed quality is an important challenge in grain legume breeding. However, the genes controlling the differential accumulation of globulins, which are major contributors to seed nutritional value in legumes, remain largely unknown. We combined a search for protein quantity loci with genome-wide association studies on the abundance of 7S and 11S globulins in seeds of the model legume species Medicago truncatula. Identified genomic regions and genes carrying polymorphisms linked to globulin variations were then cross-compared with pea (Pisum sativum), leading to the identification of candidate genes for the regulation of globulin abundance in this crop. Key candidates identified include genes involved in transcription, chromatin remodeling, post-translational modifications, transport and targeting of proteins to storage vacuoles. Inference of a gene coexpression network of 12 candidate transcription factors and globulin genes revealed the transcription factor ABA-insensitive 5 (ABI5) as a highly connected hub. Characterization of loss-of-function abi5 mutants in pea uncovered a role for ABI5 in controlling the relative abundance of vicilin, a sulfur-poor 7S globulin, in pea seeds. This demonstrates the feasibility of using genome-wide association studies in M. truncatula to reveal genes that can be modulated to improve seed nutritional value.
© 2017 INRA. New Phytologist © 2017 New Phytologist Trust.

Entities:  

Keywords:  zzm321990Medicago truncatulazzm321990; Pisum sativum (pea); genome-wide association studies (GWAS); globulins; legumes; protein quantity loci (PQL); seed proteome

Mesh:

Substances:

Year:  2017        PMID: 28322451     DOI: 10.1111/nph.14500

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  11 in total

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8.  Identification and Quantification of Major Faba Bean Seed Proteins.

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10.  Pea Grain Protein Content Across Italian Environments: Genetic Relationship With Grain Yield, and Opportunities for Genome-Enabled Selection for Protein Yield.

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