Kainer, David
Description
Essential oil found in the leaves of Myrtaceous species, stored
in specialised sub-epidermic secretory cavities, consists mostly
of a large variety of terpenoid compounds. One such oil,
Eucalyptus oil, is produced from a number of “oil mallee”
species with high total foliar oil concentration, high proportion
of the monoterpene 1,8-cineole and the ability to re-sprout with
multiple stems from lignotubers after coppicing. The yield of
foliar oil in such...[Show more] commercially harvested perennial species (e.g.
eucalypts, Tea Trees and Hop) is dependent on complex
quantitative traits such as foliar oil concentration, leafy
biomass accumulation and adaptability. These often show large
natural variation and some are highly heritable, which has
enabled significant gains in oil yield via traditional phenotypic
recurrent selection. However, molecular breeding techniques could
increase gains per unit time by improving the accuracy of
selection and reducing cycle time.
In this thesis I explore the pathway to implementing genomic
selection for essential oil traits in Eucalyptus polybractea
(blue mallee). This begins with a general review of the
challenges of breeding in perennial essential oil crops. I
discuss the potential for applying genomic selection (GS) to
improve oil yield, while noting the factors that affect GS
accuracy and how they may manifest in openpollinated tree
populations. Next, using non-destructive methods I assess traits
relating to oil yield (quantitative and qualitative variation of
foliar essential oils and biomass-related parameters) for their
variability, heritability as well as phenotypic and genetic
interactions in an open-pollinated progeny trial with 40 families
and 480 individuals of E. polybractea. From raw phenotypes I
develop a model that is able to predict future harvest oil yield
performance at the family-level with a rank correlation of r =
0.74. This study shows that relying on oil concentration and
1,8-cineole proportion alone is not ideal for selection of top
performing families for oil yield. Rather a mixture of biomass
related traits, foliar oil concentration, 1,8-cineole proportion
and leaf architecture contribute to family-level oil yield in
varying ways.
To implement genomic selection it is important to understand the
genetic architecture of the trait under selection. To this end I
use whole genome re-sequencing of 480 blue mallees to perform a
GWAS of eleven oil yield traits. I find that allelic variants in
the pathways involved in the biosynthesis of terpenes are not
necessarily the major driver of foliar oil concentration when
viewed at the genome-wide level rather than at candidate-gene
level. I also reveal additional candidate genes that may be
involved in precursor availability for terpene biosynthesis,
terpene transport and the formation of oil secretory cavities.
The GWAS widens our understanding of the genetic basis of
essential oil variation to the genomic scale, while also
providing an informative set of priors for advanced genomic
selection models that make use of such information.
GS models face a problem of over-parameterization when fitting
large numbers of SNPs obtained from whole genome sequencing since
most SNPs are uninformative. Therefore I implement a modified
G-BLUP model that weights specific SNPs according to the trait
genetic architecture. I show that by using curated candidate gene
information the accuracy of prediction for total oil
concentration can be improved by 15-50% over standard G-BLUP.
Finally, this philosophy of partitioning genomic data into parts
to be modelled differently based on a-priori knowledge is well
established in phylogenetics. I explore the effects of different
approaches to partitioning in the context of phylogenetics,
noting that poor partitioning can result in misleading outcomes.
In general, this thesis broadens our understanding of the genetic
basis of quantitative oil traits, and shows how that information
can be used to more accurately predict genetic value in breeding
populations. Specific terpenes are increasingly sought after for
industrial purposes, such as advanced biofuels, so this knowledge
may facilitate increased production of key terpenes through
either plant-based systems or engineered pathways
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