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Characterization of a cDNA encoding cottonseed catalase.
W Ni1, R B Turley, R N Trelease
1Department of Botany, Arizona State University, Tempe 85287-1601.
Biochimica Et Biophysica Acta
|June 21, 1990
Summary
Researchers isolated a cotton catalase cDNA clone encoding a 492-amino acid peptide. This cotton catalase shares high sequence identity with maize CAT 1, indicating conserved catalytic regions across species.
Area of Science:
- Plant Molecular Biology
- Enzymology
- Biochemistry
Background:
- Catalases are crucial enzymes involved in cellular defense against oxidative stress.
- Understanding plant catalase structure and function is vital for agricultural and biotechnological applications.
- Previous studies have characterized catalases from various plant species, but cotton catalase remains less explored.
Purpose of the Study:
- To isolate and characterize the cDNA encoding cotton seed catalase.
- To determine the amino acid sequence and compare it with other known catalases.
- To identify conserved regions important for catalytic activity and structural integrity.
Main Methods:
- Construction of a lambda gt11 cDNA library from poly(A) RNA of 24-hour-old cotton cotyledons.
- Isolation and sequencing of a 1.7 kb cDNA clone encoding catalase.
- Bioinformatic analysis including amino acid sequence comparison and molecular mass calculation.
Main Results:
- A full-length catalase peptide of 492 amino acid residues was encoded by the isolated cDNA.
- The deduced molecular mass (56,800 Da) closely matched the purified enzyme's mass (57,000 Da).
- Cotton catalase exhibited 85% amino acid sequence identity to maize CAT 1, with highly conserved catalytic and structural regions compared to other plant and yeast catalases.
Conclusions:
- The cotton catalase cDNA encodes a functional enzyme with high similarity to other plant catalases.
- Conserved amino acid residues and regions underscore the fundamental importance of these for catalase activity and structure.
- The C-terminus lacks a canonical peroxisomal targeting signal, suggesting alternative import mechanisms or localization.