Title
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Study of codon bias perspective of fungal xylanase gene by multivariate analysis
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Authors
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Smriti Shrivastava, Raju Poddar, Pratyoosh Shukla*, Kunal Mukhopadhyay | |
Affiliation
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Department of Biotechnology, Birla Institute of Technology (Deemed University), Mesra, Ranchi, India
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Article Type
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Hypothesis | |
Date
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Received February 1, 2009; revised March 2, 2009; accepted March 8, 2009; published July 27, 2009
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Abstract |
Fungal xylanases has important applications
in food, baking, pulp and paper industries in addition to various other
industries. Xylanases are produced extensively by both bacterial and
fungal sources and has tremendous potential of being active at extremes
of temperature and pH. In the present study an effort has been made to
explore the codon bias perspective of this potential enzyme using
bioinformatics tools. Multivariate analysis has been used as a tool to
study codon bias perspectives of xylanases. It was further observed that
the codon usage of xylanases genes from different fungal sources is not
similar and to reveal this phenomenon the relative synonymous codon
usage (RSCU) and base composition variation in fungal xylanase genes
were also studied. The codon biasing data like GC content at third
position (GC3S), effective codon number (NC), codon adaptive
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Keywords |
relative synonymous codon usage, correspondence analysis, translation selection, multivariate statistical analysis, xylanases.
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Citation |
Shrivastava et al, Bioinformation 3(10): 425-429 (2009)
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Edited by |
P. Kangueane
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ISSN |
0973-2063
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Publisher |
Biomedical Informatics | |
License
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This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |