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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biosciences Biotechnology Research Asia</journalTitle>
          <issn>0973-1245</issn>
            <publicationDate>2023-09-30</publicationDate>
    
        <volume>20</volume>
        <issue>3</issue>

 
    <startPage>1039</startPage>
    <endPage>1045</endPage>

	 
      <doi>10.13005/bbra/3154</doi>
        <publisherRecordId>46746</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">18S rRNA Approach for Identification of Chara L. Species</title>

    <authors>
	 


      <author>
       <name>Rekha Adimulam </name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>P Sujathamma</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	

	


	


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Department of Biosciences and Sericulture Sri Padmavati Mahila Visvavidyalayam (Women’s University) Tirupati-517502, Andhra Pradesh.</affiliationName>
    

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">The study focused on the molecular phylogenetics for the identification of genus <em>Chara</em> species through 18S rRNA genes. Genus <em>Chara </em>sample is collected in the freshwater streams of Talakona region, Chittoor district, Andhra Pradesh and DNA was isolated. The 18S rRNA, gene sequence was used to carry out BLAST with the ‘nr’ database of NCBI GenBank database. First ten sequences were selected based on maximum identity score using multiple alignment software program Clustal W. Ribosomal Database Project was used for generating distance matrix and Molecular Evolutionary Genetics Analysis 6 Software was used for constructing the phylogenetic tree. Based on the maximum identifying score <em>Chara</em> species was identified as <em>Chara foetida. </em></abstract>

    <fullTextUrl format="html">https://www.biotech-asia.org/vol20no3/18s-rrna-approach-for-identification-of-chara-l-species/</fullTextUrl>



      <keywords language="eng">
        <keyword>Chara foeitda; Identification; Molecular phylogenetics; Phylogenetic tree</keyword>
      </keywords>

  </record>
</records>