Literature DB >> 27317884

DNA barcoding in autotrophic euglenids: evaluation of COI and 18s rDNA.

Maja Łukomska-Kowalczyk1, Anna Karnkowska1, Małgorzata Krupska1, Rafał Milanowski1, Bożena Zakryś1.   

Abstract

Autotrophic euglenids (Euglenophyceae) are a common and abundant group of microbial eukaryotes in freshwater habitats. They have a limited number of features, which can be observed using light microscopy, thus species identification is often problematic. Establishing a barcode for this group is therefore an important step toward the molecular identification of autotrophic euglenids. Based on the literature, we selected verified species and used a plethora of available methods to validate two molecular markers: COI and 18S rDNA (the whole sequence and three fragments separately) as potential DNA barcodes. Analyses of the COI gene were performed based on the data set of 43 sequences (42 obtained in this study) representing 24 species and the COI gene was discarded as a DNA barcode mainly due to a lack of universal primer sites. For 18S rDNA analyses we used a data set containing 263 sequences belonging to 86 taxonomically verified species. We demonstrated that the whole 18S rDNA is too long to be a useful marker, but from the three shorter analyzed variable regions we recommend variable regions V2V3 and V4 of 18S rDNA as autotrophic euglenid barcodes due to their high efficiency (above 95% and 90%, respectively).
© 2016 Phycological Society of America.

Entities:  

Keywords:  18S rDNA; COI; DNA barcoding; Euglenophyceae; autotrophic euglenids

Mesh:

Substances:

Year:  2016        PMID: 27317884     DOI: 10.1111/jpy.12439

Source DB:  PubMed          Journal:  J Phycol        ISSN: 0022-3646            Impact factor:   2.923


  3 in total

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Authors:  Alexei Y Kostygov; Anna Karnkowska; Jan Votýpka; Daria Tashyreva; Kacper Maciszewski; Vyacheslav Yurchenko; Julius Lukeš
Journal:  Open Biol       Date:  2021-03-10       Impact factor: 6.411

2.  PCR identification of toxic euglenid species Euglena sanguinea.

Authors:  Agata Kulczycka; Maja Łukomska-Kowalczyk; Bożena Zakryś; Rafał Milanowski
Journal:  J Appl Phycol       Date:  2018-01-09       Impact factor: 3.215

3.  EukRef-excavates: seven curated SSU ribosomal RNA gene databases.

Authors:  Martin Kolisko; Olga Flegontova; Anna Karnkowska; Gordon Lax; Julia M Maritz; Tomáš Pánek; Petr Táborský; Jane M Carlton; Ivan Čepička; Aleš Horák; Julius Lukeš; Alastair G B Simpson; Vera Tai
Journal:  Database (Oxford)       Date:  2020-11-20       Impact factor: 3.451

  3 in total

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