Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin

Continuing improvements in the yield of oil palm requires knowledge of the genes and mechanisms that regulate oil accumulation. This is believed attainable with the sequencing of the oil palm genome. However, Sime Darby’s oil palm genome assembly is far from complete. Here I look at ways to improve...

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Main Author: Joel Low , Zi-Bin
Format: Thesis
Published: 2019
Subjects:
Online Access:http://studentsrepo.um.edu.my/12233/
http://studentsrepo.um.edu.my/12233/2/Joel_Low.pdf
http://studentsrepo.um.edu.my/12233/1/Joel_Low.pdf
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author Joel Low , Zi-Bin
author_facet Joel Low , Zi-Bin
author_sort Joel Low , Zi-Bin
building UM Research Repository
collection Online Access
description Continuing improvements in the yield of oil palm requires knowledge of the genes and mechanisms that regulate oil accumulation. This is believed attainable with the sequencing of the oil palm genome. However, Sime Darby’s oil palm genome assembly is far from complete. Here I look at ways to improve the genome assembly quality by means of computational tools developed to build exome contigs (GenSeed Pipeline Suite), detection of potential regions of misassembly due to repeats (BridgeReader), and the use of molecular markers as a means to arrange scaffolds into a physical map (MarkMyMap). I show that with the use of these tools, the most recent assembly version, OPg3, had improved over the first version in capturing the gene space (39% more mappable transcripts) and molecular marker representation (3% increase in mappable SSRs and DArTs). Furthermore, the constructed physical map representing the oil palm’s 16 chromosomes had improved genome coverage from Sime Darby’s previous version by 79%. The improvements to the genome draft in this work will assist future Genome-Wide Association Studies and functional studies of genes. Besides that, I have developed a fast Bayesian method to overcome analytical bottlenecks in RNA-Seq experiments with limited number of replicates and low sequencing coverage, such as those found for oil palm studies. I incorporated a previously unused sequencing coverage parameter determined from the concentration of an RNA sample into a procedure to make differentially expressed gene calls. This method had better or comparable performance with NOISeq and GFOLD, according to the results from simulations and experiments with real unreplicated data. The method is called CORNAS (Coverage-dependent RNA-Seq), and I show that robust differentially expressed gene calls can be made in an RNA-Seq study of oil palm inflorescences using CORNAS.
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institution University Malaya
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last_indexed 2025-11-14T14:00:54Z
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spelling um-122332022-01-24T22:53:41Z Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin Joel Low , Zi-Bin Q Science (General) QH301 Biology Continuing improvements in the yield of oil palm requires knowledge of the genes and mechanisms that regulate oil accumulation. This is believed attainable with the sequencing of the oil palm genome. However, Sime Darby’s oil palm genome assembly is far from complete. Here I look at ways to improve the genome assembly quality by means of computational tools developed to build exome contigs (GenSeed Pipeline Suite), detection of potential regions of misassembly due to repeats (BridgeReader), and the use of molecular markers as a means to arrange scaffolds into a physical map (MarkMyMap). I show that with the use of these tools, the most recent assembly version, OPg3, had improved over the first version in capturing the gene space (39% more mappable transcripts) and molecular marker representation (3% increase in mappable SSRs and DArTs). Furthermore, the constructed physical map representing the oil palm’s 16 chromosomes had improved genome coverage from Sime Darby’s previous version by 79%. The improvements to the genome draft in this work will assist future Genome-Wide Association Studies and functional studies of genes. Besides that, I have developed a fast Bayesian method to overcome analytical bottlenecks in RNA-Seq experiments with limited number of replicates and low sequencing coverage, such as those found for oil palm studies. I incorporated a previously unused sequencing coverage parameter determined from the concentration of an RNA sample into a procedure to make differentially expressed gene calls. This method had better or comparable performance with NOISeq and GFOLD, according to the results from simulations and experiments with real unreplicated data. The method is called CORNAS (Coverage-dependent RNA-Seq), and I show that robust differentially expressed gene calls can be made in an RNA-Seq study of oil palm inflorescences using CORNAS. 2019-12 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/12233/2/Joel_Low.pdf application/pdf http://studentsrepo.um.edu.my/12233/1/Joel_Low.pdf Joel Low , Zi-Bin (2019) Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin. PhD thesis, Universiti Malaya. http://studentsrepo.um.edu.my/12233/
spellingShingle Q Science (General)
QH301 Biology
Joel Low , Zi-Bin
Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin
title Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin
title_full Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin
title_fullStr Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin
title_full_unstemmed Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin
title_short Development of computational tools for African oil palm genome and gene expression analyses / Joel Low Zi-Bin
title_sort development of computational tools for african oil palm genome and gene expression analyses / joel low zi-bin
topic Q Science (General)
QH301 Biology
url http://studentsrepo.um.edu.my/12233/
http://studentsrepo.um.edu.my/12233/2/Joel_Low.pdf
http://studentsrepo.um.edu.my/12233/1/Joel_Low.pdf