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Zhang, H.-Z.

Publications and source records attributed to Zhang, H.-Z..

3 recordsLinked to original sources

Genomic insights into polysaccharide substrate utilization and novel genera resource mining in macroalgal epiphytic bacteria

Marine macroalgae, among the fastest photosynthesizing organisms, play a crucial role in the ocean carbon cycle by converting fixed carbon dioxide into polysaccharides. Macroalgal epiphytic bacteria possessing specific polysaccharide utilization loci (PULs) have a generalized polysaccharide degradation potential that facilitates their growth and colonization. In this study, we conducted extensive research on their polysaccharide degradation potential. Through sampled and purified epiphytic bacteria and metagenomic analysis revealed a high prevalence of novel genera and species. Two novel genera, 1117T and 3-347T, were taxonomically characterized and conducted detailed functional analyses. The results demonstrated that these genera possess abundant PULs and strong capabilities for synthesizing secondary metabolites. Furthermore, their high relative abundance on macroalgal surfaces aligns with global ecological distribution patterns. These traits facilitate their colonization, growth, and environmental adaptation on macroalgal surfaces. We further performed in-depth annotation of a large number of PULs and CAZyme genes of macroalgal epiphytic bacteria. Potential polysaccharide substrates for their degradation can be predicted and focused on. Additionally, we conducted growth curve analyses by starch, xylan, {beta}-1,3-glucan, and carboxymethyl cellulose substrates to validate the genomic predictions. In summary, our findings demonstrate that macroalgal epiphytic bacteria possess significant potential for degrading algal polysaccharides. This capability may enhance their competitiveness and survival probability on macroalgal surfaces. These bacteria, originating from different sources and genera, possess similar PULs, which may result from horizontal gene transfer or evolutionary relationships. ImportanceMacroalgae are major primary producers in coastal areas and their carbon sequestration capacity per unit area far exceeds that of terrestrial forests. In this work, we extensively studied macroalgal epiphytic bacteria with polysaccharide degradation potential. We found that epiphytic bacteria from different macroalgal sources and genera share similar PULs to degrade the same polysaccharide, which may be the result of horizontal gene transfer or evolutionary relationships. Core taxa on the macroalgal surface have gradually evolved polysaccharide-degrading abilities of different marine macroalgae in order to expand their colonization and survival chances. We also identified a large number of uncultivated algal biosphere species and unreported new genera and species for expansion of macroalgal epiphytic bacteria studies. These studies have thus highlighted the important ecological and research value of macroalgal epiphytic bacteria, especially in influencing polysaccharide carbon storage and marine carbon cycling.

microbiology↗

Genomic Characterization and New Species Identification of Winogradskyella with Comparative Analysis of Polysaccharide Utilization Loci

Marine macroalgae convert a substantial fraction of fixed carbon dioxide into various polysaccharides. Winogradskyella is a genus within the phylum Bacteroidota with a clear marine origin especially from marine macroalgae. Most members of this genus have been found associated with macroalgae or microalgae. Using a combination of genomic, phylogenetic, and biochemical approaches, we characterized five novel Winogradskyella species capable of degrading marine macroalgal polysaccharides. Bioinformatic PUL annotations suggest usage of a large array of polysaccharides, including laminarin, -glucans, and alginate as well as mannose- and fucose-, highlighting the genus involvement in the marine carbon cycle. Many of the PULs exhibit new genetic architectures and suggest substrates rarely described for marine environments. Using the SusC/D trees, we analyzed evolutionary relationships of SusC/D homologs and found indications for profound changes in microbial utilization of laminarin, alginate, -glucans, {beta}-mannan, and sulfated xylan. Through the genomic study and annotation of PULs, we explored the complex relationship between genome size and polysaccharide degradation potential of Winogradskyella. These findings underscore the ecological significance of Winogradskyella in marine ecosystems and their role in polysaccharide degradation, providing a basis for biogeochemical cycling and future biotechnological applications.

microbiology↗

Identification of potential biomarkers or therapeutic targets of mesenchymal stem cells in multiple myeloma by bioinformatics analysis.

ObjectivesMesenchymal stem cells (MSCs) play important roles in multiple myeloma (MM) pathogenesis. Previous studies have discovered a group of MM-associated potential biomarkers in MSCs derived from bone marrow (BM-MSCs). However, no study of the bioinformatics analysis was conducted to explore the key genes and pathways of MSCs derived from adipose (AD-MSCs) in MM. The aim of this study was to screen potential biomarkers or therapeutic targets of AD-MSCs and BM-MSCs in MM. MethodsThe gene expression profiles of AD-MSCs (GSE133346) and BM-MSCs (GSE36474) were downloaded from Gene Expression Omnibus (GEO) database. Gene Oncology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and protein-protein interaction (PPI) network of differentially expressed genes (DEGs) were performed. ResultsA total of 456 common downregulated DEGs in two datasets were identified and the remaining DEGs in GSE133346 were further identified as specific DEGs of AD-MSCs. Furthermore, a PPI network of common downregulated DEGs was constructed and seven hub genes were identified. Importantly, cell cycle was the most significantly enrichment pathway both in AD-MSCs and BM-MSCs from MM patients. ConclusionWe identified key genes and pathways closely related with MM progression, which may act as potential biomarkers or therapeutic targets of MM.

bioinformatics↗