Asian Journal of Plant Sciences

Volume 20 (2), 210-219, 2021


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Genome-wide Analysis of Aldehyde Dehydrogenase (ALDH) Gene Superfamily in Eucalyptus grandis by Using Bioinformatics Methods

Phi Bang Cao, Ha Duc Chu, Sahar Azar, Viet Hong La, Thi Thanh Huyen Tran, Xuan Duong Vu, Thi Man Le, Linh Hung Le and Thao Duc Le

Background and Objective: In plants, the aldehyde dehydrogenases (ALDHs) have been regarded as the key enzymes involving in numerous growth and developmental processes. This study aimed to identify and analyze ALDH gene family in genome of Eucalyptus grandis, an important woody tree. Materials and Methods: The ALDH family members in the E. grandis genome were identified by a basic local alignment search tool (BLASTP) against the E. grandis proteome database using known Arabidopsis and Vitis ALDHs as queries. Sequences were analyzed by various bioinformatics tools. Results: In this study, a total of 32 members of EgrALDH gene superfamily were identified in E. grandis and their characteristics, including chromosomal distribution, subcellular localization, protein features, gene structure and phylogenetic tree were subsequently analyzed. It has been predicted that the segmental and tandem duplication events (20 out of 21 duplicated pairs) might be the major mechanism of the expansion of EgrALDH genes. The EgrALDH genes have differentially expressed in young leaves, mature leaves, shoot tips, phloem, immature xylem and xylem. Conclusion: Results from this work showed the characteristics, evolutionary and expression analysis of ALDH gene superfamily of this important woody plant. This study provided a comprehensive understanding of the EgrALDH gene superfamily in E. grandis as well as proposed a list of candidate genes for further functional characterization.

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How to cite this article:

Phi Bang Cao, Ha Duc Chu, Sahar Azar, Viet Hong La, Thi Thanh Huyen Tran, Xuan Duong Vu, Thi Man Le, Linh Hung Le and Thao Duc Le, 2021. Genome-wide Analysis of Aldehyde Dehydrogenase (ALDH) Gene Superfamily in Eucalyptus grandis by Using Bioinformatics Methods. Asian Journal of Plant Sciences, 20: 210-219.


DOI: 10.3923/ajps.2021.210.219
URL: https://ansinet.com/abstract.php?doi=ajps.2021.210.219

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