Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf
Background and Objectives: Chlorophyceae are important constituents of marine phytoplankton. The taxonomy of Chlorophyceae was traditionally based solely on morphological characteristics. In the present research project, genetic diversity was investigated to analyze five species of Chlorophyceae fro...
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Format: | Article |
Language: | English |
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Tehran University of Medical Sciences
2014-12-01
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Series: | Iranian Journal of Microbiology |
Subjects: | |
Online Access: | https://ijm.tums.ac.ir/index.php/ijm/article/view/359 |
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author | Raheem Haddad Esmat Alemzadeh Ali Reza Ahmadi Ramin Hosseini Maryam Moezzi |
author_facet | Raheem Haddad Esmat Alemzadeh Ali Reza Ahmadi Ramin Hosseini Maryam Moezzi |
author_sort | Raheem Haddad |
collection | DOAJ |
description | Background and Objectives: Chlorophyceae are important constituents of marine phytoplankton. The taxonomy of Chlorophyceae was traditionally based solely on morphological characteristics. In the present research project, genetic diversity was investigated to analyze five species of Chlorophyceae from waters of the Persian Gulf.
Materials and Methods: A clone library of the ribosomal small subunit RNA gene (18S rDNA) in the nuclear genome was constructed by PCR, and then, after examining the clones, selected clones were sequenced. The determined clone sequences were analyzed by a similarity search of the NCBI GenBank database using BLAST.
Results and Conclusion: Eleven sequences were identified correctly and used for phylogenetic analysis. We identified species of Chlorophyta (Chlorella sorokiniana, Chlamydomonas sp., Neochloris aquatic, Picochlorum sp. and Nannochloris atomus) without the need to conduct extensive colony isolation techniques. Therefore, this improved molecular method can be used to generate a robust database describing the species diversity of environmental samples. |
first_indexed | 2024-12-20T00:08:34Z |
format | Article |
id | doaj.art-df84ff6d1567480a8939f90263acbd02 |
institution | Directory Open Access Journal |
issn | 2008-3289 2008-4447 |
language | English |
last_indexed | 2024-12-20T00:08:34Z |
publishDate | 2014-12-01 |
publisher | Tehran University of Medical Sciences |
record_format | Article |
series | Iranian Journal of Microbiology |
spelling | doaj.art-df84ff6d1567480a8939f90263acbd022022-12-21T20:00:34ZengTehran University of Medical SciencesIranian Journal of Microbiology2008-32892008-44472014-12-0166Identification of Chlorophyceae based on 18S rDNA sequences from Persian GulfRaheem Haddad0Esmat Alemzadeh1Ali Reza Ahmadi2Ramin Hosseini3Maryam Moezzi4Department of Agricultural Biotechnology, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran.Department of Agricultural Biotechnology, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran.Department of Biomedical Sciences, Alzahra University, Tehran, Iran.Department of Agricultural Biotechnology, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran.Persian Gulf & Oman Sea Ecological Research Institute, Bandar Abbas, Iran.Background and Objectives: Chlorophyceae are important constituents of marine phytoplankton. The taxonomy of Chlorophyceae was traditionally based solely on morphological characteristics. In the present research project, genetic diversity was investigated to analyze five species of Chlorophyceae from waters of the Persian Gulf. Materials and Methods: A clone library of the ribosomal small subunit RNA gene (18S rDNA) in the nuclear genome was constructed by PCR, and then, after examining the clones, selected clones were sequenced. The determined clone sequences were analyzed by a similarity search of the NCBI GenBank database using BLAST. Results and Conclusion: Eleven sequences were identified correctly and used for phylogenetic analysis. We identified species of Chlorophyta (Chlorella sorokiniana, Chlamydomonas sp., Neochloris aquatic, Picochlorum sp. and Nannochloris atomus) without the need to conduct extensive colony isolation techniques. Therefore, this improved molecular method can be used to generate a robust database describing the species diversity of environmental samples.https://ijm.tums.ac.ir/index.php/ijm/article/view/35918S rDNAChlorophyceaeClone libraryPersian GulfPhylogeny |
spellingShingle | Raheem Haddad Esmat Alemzadeh Ali Reza Ahmadi Ramin Hosseini Maryam Moezzi Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf Iranian Journal of Microbiology 18S rDNA Chlorophyceae Clone library Persian Gulf Phylogeny |
title | Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf |
title_full | Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf |
title_fullStr | Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf |
title_full_unstemmed | Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf |
title_short | Identification of Chlorophyceae based on 18S rDNA sequences from Persian Gulf |
title_sort | identification of chlorophyceae based on 18s rdna sequences from persian gulf |
topic | 18S rDNA Chlorophyceae Clone library Persian Gulf Phylogeny |
url | https://ijm.tums.ac.ir/index.php/ijm/article/view/359 |
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