Fourier transform infrared with attenuated total reflectance applied to the discrimination of freshwater planktonic coccoid green microalgae
Open accessAbstract
Despite the recent advances on fine taxonomic discrimination in microorganisms, namely using molecular biology tools, some groups remain particularly problematic. Fine taxonomy of green algae, a widely distributed group in freshwater ecosystems, remains a challenge, especially for coccoid forms. In this paper, we propose the use of the Fourier Transform Infrared (FTIR) spectroscopy as part of a polyphasic approach to identify and classify coccoid green microalgae (mainly order Sphaeropleales), using triplicated axenic cultures. The attenuated total reflectance (ATR) technique was tested to reproducibility of IR spectra of the biological material, a primary requirement to achieve good discrimination of microalgal strains. Spectral window selection was also tested, in conjunction with the first derivative treatment of spectra, to determine which regions of the spectrum provided better separation and clustering of strains. The non-metric multidimensional scaling (NMDS), analysis of similarities (ANOSIM) and hierarchical clusters (HCA), demonstrated a correct discrimination and classification of closely related strains of chlorophycean coccoid microalgae, with respect to currently accepted classifications. FTIR-ATR was highly reproducible, and provided an excellent discrimination at the strain level. The best separation was achieved by analyzing the spectral windows of 1500-1200 cm(-1) and 900-675 cm(-1), which differs from those used in previously studies for the discrimination of broad algal groups, and excluding spectral regions related to storage compounds, which were found to give poor discrimination. Furthermore, hierarchical cluster analyses have positioned the strains tested into clades correctly, reproducing their taxonomic orders and families. This study demonstrates that FTIR-ATR has great potential to complement classical approaches for fine taxonomy of coccoid green microalgae, though a careful spectrum region selection is needed.
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FTIR with multivariate analysis has been used successfully to classify species and to differentiate the nutritional status of microalgae.
“The application of FTIR to classify species with the help of multivariate analysis [24 -29] and to differentiate the nutritional status of microalgae [30 -34] have been attempted successfully.”
From Response to nutrient variation on lipid productivity in green microalgae captured using second derivative FTIR and Raman spectroscopy (2022) · cites this paper as [27]
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- Authors
- Moraes, G. P. D., & Vieira, A. A. H.
- Affiliations
- Universidade Federal de São Carlos (BR)
- Corresponding author
- Moraes, Guilherme Pavan de
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-12-26
- Volume
- 9
- Issue
- 12
- Pages
- e114458
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4277285
- OpenAlex
- W2059802289
- Cited by
- 5
- References
- 38
- Citations by year
- 2021: 1 · 2017: 4
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Governo Brasil
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Spectroscopy and Quantum Chemical Studies
- Keywords
- FTIR spectroscopy, ATR, coccoid green algae, Sphaeropleales, strain differentiation, first derivative spectra, Chlorophyta, axenic culture, non-metric multidimensional scaling, hierarchical clustering, ANOSIM
- MeSH terms
- Chlorophyta, Phylogeny, Cluster Analysis, Spectroscopy, Fourier Transform Infrared, Microalgae
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