Fourier transform infrared microspectroscopy as a tool to identify macroalgal propagules

Bellgrove, Alecia, Kihara, Hiroshi, Iwata, Akira, Aoki, Masakazu and Heraud, Philip 2009, Fourier transform infrared microspectroscopy as a tool to identify macroalgal propagules, Journal of phycology, vol. 45, no. 3, pp. 560-570, doi: 10.1111/j.1529-8817.2009.00684.x.

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Title Fourier transform infrared microspectroscopy as a tool to identify macroalgal propagules
Author(s) Bellgrove, AleciaORCID iD for Bellgrove, Alecia
Kihara, Hiroshi
Iwata, Akira
Aoki, Masakazu
Heraud, Philip
Journal name Journal of phycology
Volume number 45
Issue number 3
Start page 560
End page 570
Total pages 11
Publisher Wiley-Blackwell Publishing
Place of publication New York, N. Y.
Publication date 2009-06
ISSN 0022-3646
Keyword(s) bioinformatics
Chondrus verrucosus;
multivariate data analysis
spectral analysis
Summary Understanding of macroalgal dispersal has been hindered by the difficulty in identifying propagules. Different carrageenans typically occur in gametophytes and tetrasporophytes of the red algal family Gigartinaceae, and we may expect that carpospores and tetraspores also differ in composition of carrageenans. Using Fourier transform infrared (FT-IR) microspectroscopy, we tested the model that differences in carrageenans and other cellular constituents between nuclear phases should allow us to discriminate carpospores and tetraspores of Chondrus verrucosus Mikami. Spectral data suggest that carposporophytes isolated from the pericarp and female gametophytes contained κ-carrageenan, whereas tetrasporophytes contained λ-carrageenan. However, both carpospores and tetraspores exhibited absorbances in wave bands characteristic of κ-,ι-, and λ-carrageenans. Carpospores contained more proteins and may be more photosynthetically active than tetraspores, which contained more lipid reserves. We draw analogies to planktotrophic and lecithotrophic larvae. These differences in cellular chemistry allowed reliable discrimination of spores, but pretreatment of spectral data affected the accuracy of classification. The best classification of spores was achieved with extended multiplicative signal correction (EMSC) pretreatment using partial least squares discrimination analysis, with correct classification of 86% of carpospores and 83% of tetraspores. Classification may be further improved by using synchrotron FT-IR microspectroscopy because of its inherently higher signal-to-noise ratio compared with microspectroscopy using conventional sources of IR. This study demonstrates that FT-IR microspectroscopy and bioinformatics are useful tools to advance our understanding of algal dispersal ecology through discrimination of morphologically similar propagules both within and potentially between species.
Language eng
DOI 10.1111/j.1529-8817.2009.00684.x
Field of Research 060102 Bioinformatics
Socio Economic Objective 961201 Rehabilitation of Degraded Coastal and Estuarine Environments
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2009, Phycological Society of America
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