Accessibility navigation


Natural and induced variation in faba bean protein traits

Robertson-Shersby-Harvie, T. (2025) Natural and induced variation in faba bean protein traits. PhD thesis, University of Reading

[thumbnail of Robertson-Shersby-Harvie_Thesis_Thomas Robertson-She.pdf] Text - Thesis
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.

5MB
[thumbnail of Electronic thesis deposit form - Thomas RSH_Thomas Robertson-She.pdf] Text - Thesis Deposit Form
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.

375kB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.48683/1926.00123388

Abstract/Summary

Focusing on the genetic improvement of protein traits in faba bean, the aims of this thesis were: to quantitatively investigate patterns of variation and covariation among important protein and field traits; to use GWAS to identify DNA markers associated with positive trait variation; and to characterize novel sources of protein quality variation. Over 200 diverse inbred lines were phenotyped for amino acid contents, protein sub-unit composition, protein and sulphur contents, yield, and seed weight. The genetic and environmental components of trait (co)variation were estimated using multivariate methods. A well-supported (posterior probability = 1.00) negative genetic relationship between yield and protein content was observed, while the relationships between protein content and nutritionally favourable protein quality traits, such as relative cysteine content, were found to be generally positive. Using simulated phenotypes, an experiment was carried out to assess the suitability of different published GWAS methods for use in the study population. Some commonly used frequentist methods were found to perform poorly in terms of prioritizing causal variants and providing reliable measures of significance while two lesser used Bayesian methods performed uniformly best by these metrics. Using real phenotype data, univariate and multivariate GWAS were carried out using the best performing methods from the simulation study. Almost 150 unique significant associations, some of which replicated earlier findings, were reported across 44 univariate and multivariate traits. One locus on chromosome 6 was found to be significantly linked to higher yields and higher protein contents. Finally, a novel protein variant was discovered in an induced mutant line and, using biparental crosses, a putatively causal genetic mutation was mapped to the proximal end of chromosome 4. Together, these results, by identifying markers for use in molecular selection and by quantifying genetic trade-offs to be avoided, could help expedite breeding for faba protein traits.

Item Type:Thesis (PhD)
Thesis Supervisor:O'Sullivan, D.
Thesis/Report Department:School of Agriculture, Policy and Development
Identification Number/DOI:10.48683/1926.00123388
Divisions:Life Sciences > School of Agriculture, Policy and Development
ID Code:123388
Date on Title Page:April 2024

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation