ArticleScientific reports2016
How DNA barcoding can be more effective in microalgae identification: a case of cryptic diversity revelation in Scenedesmus (Chlorophyceae).
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 76 citations in OpenAlex.
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- The genus Coelastrella (Chlorophyceae, Chlorophyta): molecular species delimitation, biotechnological potential, and description of a new species Coelastrella affinis sp. nov., based on an integrative taxonomic approach.Antonie van Leeuwenhoek · 2024Article
- New species and species diversity of Desmodesmus (Chlorophyceae, Chlorophyta) in Saga City, Japan.Scientific reports · 2024Article
- The Complete Chloroplast Genomes ofInternational journal of molecular sciences · 2024Article
- Assessing sequence heterogeneity in Chlorellaceae DNA barcode markers for phylogenetic inference.Journal, genetic engineering & biotechnology · 2023Article
- Comparative study of multiple approaches for identifying cultivable microalgae population diversity from freshwater samples.PloS one · 2023Article
- Biomass and lipid production by the native green microalgaeFrontiers in bioengineering and biotechnology · 2023Article
- Uncovering New Diversity of Photosynthetic Microorganisms from the Mediterranean Region.Microorganisms · 2022Article
- Altitudinal Zonation of Green Algae Biodiversity in the French Alps.Frontiers in plant science · 2021Article
- Identification of Eukaryotic Microalgal Strains.Journal of applied phycology · 2020Article
- µgreen-db: a reference database for the 23S rRNA gene of eukaryotic plastids and cyanobacteria.Scientific reports · 2020Article
- Polyphasic taxonomy of green algae strains isolated from Mediterranean freshwaters.Journal of biological research (Thessalonike, Greece) · 2019Article
- Population genetic structure and intraspecific genetic distance ofEcology and evolution · 2019Article
- Evaluating High-Throughput Sequencing Data of Microalgae Living in Melting Snow: Improvements and LimitationsFottea (Praha) · 2019Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microalgae identification is extremely difficult. The efficiency of DNA barcoding in microalgae identification involves ideal gene markers and approaches employed, which however, is still under the way. Although Scenedesmus has obtained much research in producing lipids its identification is difficult. Here we present a comprehensive coalescent, distance and character-based DNA barcoding for 118 Scenedesmus strains based on rbcL, tufA, ITS and 16S. The four genes, and their combined data rbcL + tufA + ITS + 16S, rbcL + tufA and ITS + 16S were analyzed by all of GMYC, P ID, PTP, ABGD, and character-based barcoding respectively. It was apparent that the three combined gene data showed a higher proportion of resolution success than the single gene. In comparison, the GMYC and PTP analysis produced more taxonomic lineages. The ABGD generated various resolution in discrimination among the single and combined data. The character-based barcoding was proved to be the most effective approach for species discrimination in both single and combined data which produced consistent species identification. All the integrated results recovered 11 species, five out of which were revealed as potential cryptic species. We suggest that the character-based DNA barcoding together with other approaches based on multiple genes and their combined data could be more effective in microalgae diversity revelation.
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