Genomics-led Identification of Disease Resistance Genes Unravel Evolutionary and Functional Research Potentials in Brassicaceae Species

Aldrin Yanong Cantila

doi:10.26182/as48-na74

Genomics-led Identification of Disease Resistance Genes Unravel Evolutionary and Functional Research Potentials in Brassicaceae Species

Aldrin Yanong Cantila

Research output: Thesis › Doctoral Thesis

105 Downloads (Pure)

Abstract

The Brassicaceae species provide oils, vegetables, condiments, forage, and biofuel. However, their production and quality, especially the crop members, is affected by diseases. Deployment of resistant cultivars containing resistance gene analogs (RGAs) are among the sustainable and environment- friendly options to negate the diseases’ effect, but pathogens are gradually overcoming RGAs due to their fast-evolving nature. This research used a genomics-based approach to in-silico identify RGAs with significant homology to cloned RGAs and transmembrane (TM)-coiled-coil (CC) or TM-CC RGA type genes from the genome sequences of Brassicaceae species and, furthermore we identified candidate RGAs for LepR1 blackleg resistance in Brassica napus.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Batley, Jacqueline, Supervisor Cowling, Wallace, Supervisor Edwards, Dave, Supervisor Van De Wouw, Angela, Supervisor, External person
Thesis sponsors	Australian Government Research Training Program
Award date	2 Oct 2023
DOIs	https://doi.org/10.26182/as48-na74
Publication status	Unpublished - 2023

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10.26182/as48-na74

THESIS - DOCTOR OF PHILOSOPHY - CANTILA Aldrin Yanong - 2023
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4 Article
1 Review article

In silico prediction and analysis of transmembrane-coiled-coil resistance gene analogues in 27 Brassicaceae species
Cantila, A. Y., Thomas, W. J. W., Bayer, P. E., Edwards, D. & Batley, J., Jan 2024, In: Plant Pathology. 73, 1, p. 115-130 16 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Identification of candidate genes for LepR1 resistance against Leptosphaeria maculans in Brassica napus
Cantila, A. Y., Thomas, W. J. W., Saad, N. S. M., Severn-Ellis, A. A., Anderson, R., Bayer, P. E., Edwards, D., Van de Wouw, A. P. & Batley, J., 14 Feb 2023, In: Frontiers in Plant Science. 14, 10 p., 1051994.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
Mining of Cloned Disease Resistance Gene Homologs (CDRHs) in Brassica Species and Arabidopsis thaliana
Cantila, A. Y., Neik, T. X., Tirnaz, S., Thomas, W. J. W., Bayer, P. E., Edwards, D. & Batley, J., Jun 2022, In: Biology. 11, 6, 821.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Citations (Scopus)

Cite this

@phdthesis{3b009ea07c6d4ae7ada6aa614d6092ba,

title = "Genomics-led Identification of Disease Resistance Genes Unravel Evolutionary and Functional Research Potentials in Brassicaceae Species",

abstract = "The Brassicaceae species provide oils, vegetables, condiments, forage, and biofuel. However, their production and quality, especially the crop members, is affected by diseases. Deployment of resistant cultivars containing resistance gene analogs (RGAs) are among the sustainable and environment- friendly options to negate the diseases{\textquoteright} effect, but pathogens are gradually overcoming RGAs due to their fast-evolving nature. This research used a genomics-based approach to in-silico identify RGAs with significant homology to cloned RGAs and transmembrane (TM)-coiled-coil (CC) or TM-CC RGA type genes from the genome sequences of Brassicaceae species and, furthermore we identified candidate RGAs for LepR1 blackleg resistance in Brassica napus.",

keywords = "Brassicaceae, disease resistance, homologs, RGAs, genomics, LepR1 putative blackleg R genes, TM-CC, GWAS",

author = "Cantila, {Aldrin Yanong}",

year = "2023",

doi = "10.26182/as48-na74",

language = "English",

school = "The University of Western Australia",

}

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T1 - Genomics-led Identification of Disease Resistance Genes Unravel Evolutionary and Functional Research Potentials in Brassicaceae Species

AU - Cantila, Aldrin Yanong

PY - 2023

Y1 - 2023

N2 - The Brassicaceae species provide oils, vegetables, condiments, forage, and biofuel. However, their production and quality, especially the crop members, is affected by diseases. Deployment of resistant cultivars containing resistance gene analogs (RGAs) are among the sustainable and environment- friendly options to negate the diseases’ effect, but pathogens are gradually overcoming RGAs due to their fast-evolving nature. This research used a genomics-based approach to in-silico identify RGAs with significant homology to cloned RGAs and transmembrane (TM)-coiled-coil (CC) or TM-CC RGA type genes from the genome sequences of Brassicaceae species and, furthermore we identified candidate RGAs for LepR1 blackleg resistance in Brassica napus.

AB - The Brassicaceae species provide oils, vegetables, condiments, forage, and biofuel. However, their production and quality, especially the crop members, is affected by diseases. Deployment of resistant cultivars containing resistance gene analogs (RGAs) are among the sustainable and environment- friendly options to negate the diseases’ effect, but pathogens are gradually overcoming RGAs due to their fast-evolving nature. This research used a genomics-based approach to in-silico identify RGAs with significant homology to cloned RGAs and transmembrane (TM)-coiled-coil (CC) or TM-CC RGA type genes from the genome sequences of Brassicaceae species and, furthermore we identified candidate RGAs for LepR1 blackleg resistance in Brassica napus.

KW - Brassicaceae

KW - disease resistance

KW - homologs

KW - RGAs

KW - genomics

KW - LepR1 putative blackleg R genes

KW - TM-CC

KW - GWAS

U2 - 10.26182/as48-na74

DO - 10.26182/as48-na74

M3 - Doctoral Thesis

ER -

Genomics-led Identification of Disease Resistance Genes Unravel Evolutionary and Functional Research Potentials in Brassicaceae Species

Abstract

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Research output

In silico prediction and analysis of transmembrane-coiled-coil resistance gene analogues in 27 Brassicaceae species

Identification of candidate genes for LepR1 resistance against Leptosphaeria maculans in Brassica napus

Mining of Cloned Disease Resistance Gene Homologs (CDRHs) in Brassica Species and Arabidopsis thaliana

Cite this