Identification of ESTs differentially expressed in green and albino mutant bamboo (Bambusa edulis) by suppressive subtractive hybridization (SSH) and microarray analysis
To gain a better understanding of gene expression in bamboo (Bambusa edulis Murno), we have used a combination of suppressive subtractive hybridization (SSH), microarray hybridization analysis, sequencing, and bioinformatics to identify bamboo genes differentially expressed in a bamboo albino mutant...
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Published in | Plant cell, tissue and organ culture Vol. 86; no. 2; pp. 169 - 175 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer
01.08.2006
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Subjects | |
Online Access | Get full text |
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Summary: | To gain a better understanding of gene expression in bamboo (Bambusa edulis Murno), we have used a combination of suppressive subtractive hybridization (SSH), microarray hybridization analysis, sequencing, and bioinformatics to identify bamboo genes differentially expressed in a bamboo albino mutant. Ten expressed sequence tags (ESTs) were found to be differentially expressed; these were isolated and sequenced. RT-PCR analysis of these ESTs supported the results of the microarray analysis. Six ESTs that were nucleus-encoded exhibited differential expression patterns in the green wild-type bamboo relative to the albino mutant. These genes (exception being the Rubisco small subunit) were non-photosynthesis-related genes. The development of a specific SSH cDNA library in which most of the chloroplast-encoded or photosynthesis-related genes had been subtracted proved to be useful for studying the function of non-photosynthesis-related genes in the albino bamboo mutants with aberrant chloroplast genome. The combined use of this SSH library with microarray analysis will provide a powerful analytical tool for future studies of the bamboo genome. |
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Bibliography: | http://dx.doi.org/10.1007/s11240-006-9105-3 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0167-6857 1573-5044 |
DOI: | 10.1007/s11240-006-9105-3 |