Molecular Cloning of Hypervariable Regions (HVRII) from Cellulose Synthase (CesA) Gene in Neolamarckia cadamba
Neolamarckia cadamba or locally known as Kelampayan, is one of the fast growing plantation tree species that holds great prospect as a renewable bioresources for plywood, pulp and paper, and biofuel industries. Sufficient information on cellulose synthase (CesA) gene, especially the hypervariable...
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Main Authors: | , , , |
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Format: | E-Article |
Language: | English |
Published: |
International Academy Publishing (IAP)
2014
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/7298/1/Molecular%20Cloning%20of%20Hypervariable.pdf http://ir.unimas.my/id/eprint/7298/ http://www.ijbbb.org/show-49-727-1.html |
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Summary: | Neolamarckia cadamba or locally known as Kelampayan, is one of the fast growing plantation tree
species that holds great prospect as a renewable bioresources for plywood, pulp and paper, and biofuel
industries. Sufficient information on cellulose synthase (CesA) gene, especially the hypervariable region II
(HVRII) component involved in wood formation of Kelampayan is imperative for future applications. This
region is thought to play a role in interaction with other unique cell-type-specific proteins involved in the
biosynthesis of cellulose. The aim of this study was to identify and clone the HVRII regions of cellulose
synthase gene from the developing xylem tissues of Kelampayan. The cDNA of cellulose synthase HVRII
regions was amplified using reverse transcription-PCR (RT-PCR) approach using degenerate primers. Three
clones, namely NcCesA1HVRII (520bp), NcCesA2HVRII (580bp) and NcCesA3HVRII (620bp) were
successfully sequenced and characterized. NcCesA1HVRII and NcCesA3HVRII were clustered into two
distinct clades implicated with secondary cell wall development whereas NcCesA2HVRII has renamed to
NcCslD1HVRII due its high similarity with various plants’ CslD-HVRII. This study provides an easier and
faster access to NcCesAHVRII sequences to further understand the role of NcCesA/NcCslD protein for future
applications such as selecting trees with optimal cellulose content required for specific industries. |
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