In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin

Biomass decomposition using thermophilic enzymes has attracted attention due to their high reaction speed, thermostability, and decreased risk of contamination. Exploitation of efficient thermostable glycoside hydrolases (GHs) and auxiliary activities (AA) enzymes could accelerate the industrialisat...

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Main Author: Lee , Li Sin
Format: Thesis
Published: 2018
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Online Access:http://studentsrepo.um.edu.my/9616/2/Lee_Li_Sin.pdf
http://studentsrepo.um.edu.my/9616/7/li_sin.pdf
http://studentsrepo.um.edu.my/9616/
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spelling my.um.stud.96162021-02-28T19:41:53Z In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin Lee , Li Sin Q Science (General) QH426 Genetics Biomass decomposition using thermophilic enzymes has attracted attention due to their high reaction speed, thermostability, and decreased risk of contamination. Exploitation of efficient thermostable glycoside hydrolases (GHs) and auxiliary activities (AA) enzymes could accelerate the industrialisation of biofuels and biochemicals. Yet, the full spectrum of thermophiles and their enzymes that are important for biomass degradation at high temperatures are not well studied. In this work, a Malaysian hot spring located within a wooded area with fallen foliage which formed a thick layer of biomass bed under heated water represents a good resource for the discovery of microbial biomass decay communities. Here, the hypervariable regions of bacterial and archaeal 16S rRNA genes were sequenced on Illumina MiSeq platform using total community DNA extracted from the hot spring. Data suggested that 25 phyla, 58 classes, 110 orders, 171 families, and 328 genera inhabited this hot spring. Members of the genera Acidimicrobium, Aeropyrum, Caldilinea, Caldisphaera, Chloracidobacterium, Chloroflexus, Desulfurobacterium, Fervidobacterium, Geobacillus, Meiothermus, Melioribacter, Methanothermococcus, Methanotorris, Roseiflexus, Thermoanaerobacter, Thermoanaerobacterium, Thermoanaerobaculum, and Thermosipho were among the main thermophiles which harbour various GHs that may be involved in cellulose and hemicellulose breakdown. Among these communities, a variety of previously under-studied genera was found, revealing substantial diversity in foliage-rich hot springs. 2018-08 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/9616/2/Lee_Li_Sin.pdf application/pdf http://studentsrepo.um.edu.my/9616/7/li_sin.pdf Lee , Li Sin (2018) In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/9616/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic Q Science (General)
QH426 Genetics
spellingShingle Q Science (General)
QH426 Genetics
Lee , Li Sin
In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin
description Biomass decomposition using thermophilic enzymes has attracted attention due to their high reaction speed, thermostability, and decreased risk of contamination. Exploitation of efficient thermostable glycoside hydrolases (GHs) and auxiliary activities (AA) enzymes could accelerate the industrialisation of biofuels and biochemicals. Yet, the full spectrum of thermophiles and their enzymes that are important for biomass degradation at high temperatures are not well studied. In this work, a Malaysian hot spring located within a wooded area with fallen foliage which formed a thick layer of biomass bed under heated water represents a good resource for the discovery of microbial biomass decay communities. Here, the hypervariable regions of bacterial and archaeal 16S rRNA genes were sequenced on Illumina MiSeq platform using total community DNA extracted from the hot spring. Data suggested that 25 phyla, 58 classes, 110 orders, 171 families, and 328 genera inhabited this hot spring. Members of the genera Acidimicrobium, Aeropyrum, Caldilinea, Caldisphaera, Chloracidobacterium, Chloroflexus, Desulfurobacterium, Fervidobacterium, Geobacillus, Meiothermus, Melioribacter, Methanothermococcus, Methanotorris, Roseiflexus, Thermoanaerobacter, Thermoanaerobacterium, Thermoanaerobaculum, and Thermosipho were among the main thermophiles which harbour various GHs that may be involved in cellulose and hemicellulose breakdown. Among these communities, a variety of previously under-studied genera was found, revealing substantial diversity in foliage-rich hot springs.
format Thesis
author Lee , Li Sin
author_facet Lee , Li Sin
author_sort Lee , Li Sin
title In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin
title_short In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin
title_full In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin
title_fullStr In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin
title_full_unstemmed In silico analysis of plant biomass-degrading genes and thermostable enzymes from a Malaysian hot spring microbiome using targeted metagenomic approach / Lee Li Sin
title_sort in silico analysis of plant biomass-degrading genes and thermostable enzymes from a malaysian hot spring microbiome using targeted metagenomic approach / lee li sin
publishDate 2018
url http://studentsrepo.um.edu.my/9616/2/Lee_Li_Sin.pdf
http://studentsrepo.um.edu.my/9616/7/li_sin.pdf
http://studentsrepo.um.edu.my/9616/
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