After 7 d, the secreted mucilage became entangled, forming adhesi

After 7 d, the secreted mucilage became entangled, forming adhesive strands that crisscrossed the substratum surface. In the initial secreted buy Ku-0059436 mucilage atomic force microscopy identified a high proportion of adhesive molecules without regular retraction curves and some modular-like adhesive molecules, in the 7 d old biofilm, the adhesive molecules were longer with fewer adhesive events but greater adhesive strength. Chemical characterization was carried out

on extracted proteins and polysaccharides. Differences in protein composition, monosaccharide composition, and linkage analysis are discussed in relation to the composition of the frustule and secreted adhesive mucilage. Polysaccharide analysis showed a broad range of monosaccharides and linkages across all fractions with idiosyncratic enrichment of particular monosaccharides and linkages in each fraction. 3-linked Mannan was highly enriched in the cell frustule fractions

indicating a major structural role, while Rhamnose and Fucose derivatives RGFP966 were enriched in the secreted fractions of the ovoid morphotype suggesting involvement in cell adhesion. Comparison of SDS-PAGE of extracellular proteins showed two major bands for the ovoid morphotype and four for the fusiform morphotype of which only one appeared to be common to both morphotypes. “
“Measuring qualitative traits of plant tissue is important to understand how plants respond to environmental change and biotic interactions. Near infrared reflectance spectrometry (NIRS) is a cost-, time-, and sample-effective method of measuring

chemical components in organic samples commonly used in the agricultural and pharmaceutical industries. To assess the applicability of NIRS to measure the ecologically important tissue traits of carbon, nitrogen, and phlorotannins (secondary metabolites) in brown algae, we developed NIRS calibration models for these constituents in dried Sargassum flavicans (F. K. Mertens) C. Agardh tissue. for We then tested if the developed NIRS models could detect changes in the tissue composition of S. flavicans induced by experimental manipulation of temperature and nutrient availability. To develop the NIRS models, we used partial least squares regression to determine the statistical relationship between trait values determined in laboratory assays and the NIRS spectral data of S. flavicans calibration samples. Models with high predictive power were developed for all three constituents that successfully detected changes in carbon, nitrogen, and phlorotannin content in the experimentally manipulated S. flavicans tissue. Phlorotannin content in S.

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