[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Indexing by

AWT IMAGE
AWT IMAGE
AWT IMAGE
AWT IMAGE
AWT IMAGE
AWT IMAGE
AWT IMAGE

..
Related Links

AWT IMAGE
AWT IMAGE

..
QR Code

Orcid ID
..
:: Volume 12, Issue 47 (2021) ::
2021, 12(47): 41-51 Back to browse issues page
Phylogenetic identification of unknown microalgae which isolated from the Caspian Sea
Noraddin Hosseinpourazad , Khadijeh Fatalipour
1Department of plant science and medicinal plant, Meshginshahr faculty of Agriculture, University of Mohaghegh Ardabili , n.hosseinpour@uma.ac.ir
Abstract:   (1713 Views)
Background and Objectives: Microalgae are rich sources of active metabolites, which today are considered as important sources of biofuels in addition to medicinal and food uses. In this study, ribosomal markers were used to determine the phylogenetic posation of microalgae species which isolated from the southern coast of the Caspian Sea.
Methods: For molecular studies, microalgae grown in suspension culture medium were precipitated using iron (III) chloride solution. After extraction of genomic DNA by freez- thawing method, the gene loci encoding ribosomal subunits (16srDNA) were amplified using 36 pairs oligoes by polymerase chain reaction (PCR), the amplified gene loci were inserted into the pTZ57R /T vector by TA cloning technique then transformed in the Dh5α bacterial and sequenced follow by purification.
Findings: Fourteen pairs of primers showed acceptable amplification of target gene in the microalgae genome. The obtained sequences were edited by Vector NTi ver. 11 software and then blasted at the NCBI. Sequences with more than 90% similarity were selected and the molecular distance of the data was estimated by MEGA 6 software and phylogenetic analyzes were performed by calculating the maximum short molecular trees (Maximum Parsimony, MP) for the sequence of the studied genes, and Then, Bootstrap 1000 index was used for analysis to test the accuracy of the nodes.
Conclusion: The results of phylogenetic tree and similarity matrix with Maximum Parsimony method for all 14 gene regions showed that the studied species has the lowest genetic distance with the algal strain Spirulina laxissima.
Keywords: Microalgae, Ribosomes, Molecular classification, 16srDNAA
Full-Text [PDF 1779 kb]   (490 Downloads)    
Type of Study: Case-study | Subject: Marine Environment / Marine pollution
Received: 2020/11/13 | Revised: 2022/03/9 | Accepted: 2021/04/11 | ePublished: 2021/10/7



XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Hosseinpourazad N, Fatalipour K. Phylogenetic identification of unknown microalgae which isolated from the Caspian Sea. Journal of Oceanography 2021; 12 (47) :41-51
URL: http://joc.inio.ac.ir/article-1-1681-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 12, Issue 47 (2021) Back to browse issues page
نشریه علمی پژوهشی اقیانوس شناسی Journal of Oceanography
Persian site map - English site map - Created in 0.1 seconds with 42 queries by YEKTAWEB 4642