Identification of benthic diatoms isolated from the eastern tidal flats of the Yellow Sea: Comparison between morphological and molecular approaches SCIE SCOPUS

Cited 20 time in WEB OF SCIENCE Cited 22 time in Scopus
Title
Identification of benthic diatoms isolated from the eastern tidal flats of the Yellow Sea: Comparison between morphological and molecular approaches
Author(s)
An, Sung Min; Choi, Dong Han; Lee, Jung Ho; Lee, Howon; Noh, Jae Hoon
KIOST Author(s)
Choi, Dong Han(최동한)Lee, Ho Won(이호원)
Alternative Author(s)
안성민; 최동한; 이호원; 노재훈
Publication Year
2017-06-16
Abstract
Benthic diatoms isolated from tidal flats in the west coast of Korea were identified through both traditional morphological method and molecular phylogenetic method for methodological comparison. For the molecular phylogenetic analyses, we sequenced the 18S rRNA and the ribulose bisphosphate carboxylase large subunit coding gene, rbcL. Further, the comparative analysis allowed for the assessment of the suitability as a genetic marker for identification of closely related benthic diatom species and as potential barcode gene. Based on the traditional morphological identification system, the 61 isolated strains were classified into 52 previously known taxa from 13 genera. However, 17 strains could not be classified as known species by morphological analyses, suggesting a hidden diversity of benthic diatoms. The Blast search on NCBI's Genebank indicated that the reference sequences for most of the species were absent for the benthic diatoms. Of the two genetic markers, the rbcL genes were more divergent than the 18S rRNA genes. Furthermore, a long branch attraction artefact was found in the 18S rRNA phylogeny. These results suggest that the rbcL gene is a more appropriate genetic marker for identification and classification of benthic diatoms. Considering their high diversity and simple shapes, and thus the difficulty associated with morphological classification of benthic diatoms, a molecular approach could provide a relatively easy and reliable classification system. However, this study suggests that more effort should be made to construct a reliable database containing polyphasic taxonomic data for diatom classification.
ISSN
1932-6203
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/40355
DOI
10.1371/journal.pone.0179422
Bibliographic Citation
PLOS ONE, v.12, no.6, 2017
Publisher
PUBLIC LIBRARY SCIENCE
Subject
ENGLISH LAKE DISTRICT; BOTTOM-LIVING ALGAE; SEQUENCE DATA; SPECIES IDENTIFICATION; PHYLOGENETIC ANALYSIS; BARCODING DIATOMS; RDNA SEQUENCES; BACILLARIOPHYCEAE; RBCL; GENE
Type
Article
Language
English
Document Type
Article
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