Biology subjects

Bajwa, B.

Publications and source records attributed to Bajwa, B..

2 recordsLinked to original sources

bioRxiv2025

2D HSQC-derived "dark forest" image with enhanced local resolution via first derivative processing-logarithmic cosine transformation (FDP-LCT): Demonstration on per-O-ethylated kappa- and iota-carrageenans

Solution-state two-dimensional (2D) 1H-13C HSQC NMR is a powerful tool for polysaccharide structure elucidation but often suffers from limited sensitivity and broad peaks due to the low natural abundance of 13C and poor digital resolution of the indirect dimension, respectively, as well as the typically low concentration and high viscosity of polysaccharide solutions. It is therefore pivotal to improve the resolution of 2D 1H-13C HSQC spectra for accurate peak picking and assignment, particularly in the indirect 13C dimension. In this study, we developed an algorithm that combines first derivative processing with a novel logarithmic cosine transformation (FDP-LCT) to convert 2D 1H-13C HSQC spectra into local-resolution-enhanced images resembling a dark forest of straight, densely standing trees. These images revealed sharpened spectral features and enabled extraction of precise 1H and 13C chemical shifts, as demonstrated using per-O-ethylated kappa-and iota-carrageenans, two sulfated galactans differing only by a single substitution at the O-2 position of anhydrogalactose. In conclusion, this approach provides an effective post-acquisition strategy for enhancing digital resolution in 2D HSQC spectra and improving the structural analysis of closely related complex polysaccharides. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/689839v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@c85f3dorg.highwire.dtl.DTLVardef@e4ded2org.highwire.dtl.DTLVardef@1e0b7b5org.highwire.dtl.DTLVardef@3cebcf_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights- An algorithm combining first derivative processing and logarithmic cosine transformation was developed for 2D HSQC. - The algorithm was used to boost the local resolution of 2D HSQC spectra of the per-O-ethylated carrageenans. - Structures were distinguished by complete interpretation of 2D NMR spectra. - A post-processing workflow was developed to facilitate chemical shift extraction from sharpened HSQC.

biochemistry↗

bioRxiv2024

Microbial alginate foraging is conserved in geographically and taxonomically distinct ruminant microbiomes

Seaweed plays a crucial role in carbon cycling and is expected to be a valuable resource for sustainable biomass, with applications in biofuel production, human nutrition, and animal feed. Although seaweed has historically been used as a feed source for livestock grazing near coastlines, the process by which it is digested in the rumen remains unknown. Here, we show how the brown algae Saccharina latissima is catabolized in the rumen ecosystem of two different species using in vivo and in vitro experimental systems. We determined that the ruminal decomposition of alginate, a prominent component of the brown algae cell wall, requires microbial catabolic pathways complete with alginate lyases and transport proteins. Evidence of digestion was obtained through a combination of animal models, bacterial imaging, multilayered meta-omics, and enzyme biochemistry. The evolution of and implications for acquisition of alginate utilization loci within geographically and taxonomically distinct ruminants are considered. Graphical abstractSaccharina latissima is a brown alga commonly found in the North Atlantic, Arctic and Pacific oceans. S. latissima was collected from the west coast and Canada and Norway for microbiome studies. Alginate constitutes a substantial portion of the cell wall of S. latissima (SL), and its digestion requires a specific set of enzymes, alginate lyases. We investigated if and how S. latissima is metabolized in geographically distinct rumen ecosystems through in vivo lamb feeding experiments (2.5 and 5% inclusion, DM basis) and in vitro cattle-based rumen simulation technique, RUSITEC, experiments (up to 50% inclusion). Evidence supporting ruminal degradation of alginate was explored using a combination of multilayered meta-omics, physiology (fluorescently labelled S. latissima hot water extracts (FLA-SLAT)) and biochemical characterization of PL6 alginate lyases. O_FIG O_LINKSMALLFIG WIDTH=161 HEIGHT=200 SRC="FIGDIR/small/628917v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@eebe40org.highwire.dtl.DTLVardef@c6fb8org.highwire.dtl.DTLVardef@7a9b1borg.highwire.dtl.DTLVardef@15d30d7_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗