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Biocatalytic quantification of α‐glucan in marine particulate organic matter

Authors :
Nicola Steinke
Silvia Vidal‐Melgosa
Mikkel Schultz‐Johansen
Jan‐Hendrik Hehemann
Source :
MicrobiologyOpen, Vol 11, Iss 3, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Abstract Marine algae drive the marine carbon cycle, converting carbon dioxide into organic material. A major component of this produced biomass is a variety of glycans. Marine α‐glucans include a range of storage glycans from red and green algae, bacteria, fungi, and animals. Although these compounds are likely to account for a high amount of the carbon stored in the oceans they have not been quantified in marine samples so far. Here we present a method to extract and quantify α‐glucans (and compare it with the β‐glucan laminarin) in particulate organic matter from algal cultures and environmental samples using sequential physicochemical extraction and enzymes as α‐glucan‐specific probes. This enzymatic assay is more specific and less susceptible to side reactions than chemical hydrolysis. Using HPAEC‐PAD to detect the hydrolysis products allows for a glycan quantification in particulate marine samples down to a concentration of ≈2 µg/L. We measured glucans in three cultured microalgae as well as in marine particulate organic matter from the North Sea and western North Atlantic Ocean. While the β‐glucan laminarin from diatoms and brown algae is an essential component of marine carbon turnover, our results further indicate the significant contribution of starch‐like α‐glucans to marine particulate organic matter. Henceforth, the combination of glycan‐linkage‐specific enzymes and chromatographic hydrolysis product detection can provide a powerful tool in the exploration of marine glycans and their role in the global carbon cycle.

Details

Language :
English
ISSN :
20458827
Volume :
11
Issue :
3
Database :
Directory of Open Access Journals
Journal :
MicrobiologyOpen
Publication Type :
Academic Journal
Accession number :
edsdoj.4e742acd321c421d992a23e30096e585
Document Type :
article
Full Text :
https://doi.org/10.1002/mbo3.1289