MicroPhenoDB Associates Metagenomic Data with Pathogenic Microbes, Microbial Core Genes, and Human Disease Phenotypes.
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ABSTRACT:
SUBMITTER: Yao G
PROVIDER: S-EPMC8377004 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundDegradation of pectin in lignocellulosic materials is one of the key steps for biofuel production. Biological hydrolysis of pectin, i.e., degradation by pectinolytic microbes and enzymes, is an attractive paradigm because of its obvious advantages, such as environmentally friendly procedures, low in energy demand for lignin removal, and the possibility to be integrated in consolidated process. In this study, a metagenomics sequence-guided strategy coupled with enrichment culture technique was used to facilitate targeted discovery of pectinolytic microbes and enzymes. An apple pomace-adapted compost (APAC) habitat was constructed to boost the enrichment of pectinolytic microorganisms.ResultsAnalyses of 16S rDNA high-throughput sequencing revealed that microbial communities changed dramatically during composting with some bacterial populations being greatly enriched. Metagenomics data showed that apple pomace-adapted compost microbial community (APACMC) was dominated by Proteobacteria and Bacteroidetes. Functional analysis and carbohydrate-active enzyme profiles confirmed that APACMC had been successfully enriched for the targeted functions. Among the 1756 putative genes encoding pectinolytic enzymes, 129 were predicted as novel (with an identity <30% to any CAZy database entry) and only 1.92% were more than 75% identical with proteins in NCBI environmental database, demonstrating that they have not been observed in previous metagenome projects. Phylogenetic analysis showed that APACMC harbored a broad range of pectinolytic bacteria and many of them were previously unrecognized.ConclusionsThe immensely diverse pectinolytic microbes and enzymes found in our study will expand the arsenal of proficient degraders and enzymes for lignocellulosic biofuel production. Our study provides a powerful approach for targeted mining microbes and enzymes in numerous industries.
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Project description:The oil palm industry, especially in Indonesia and Malaysia is being threatened by Basal Stem Rot (BSR) disease caused by Ganoderma boninense. There is no conclusive remedy in handling this disease effectively. In this study, metagenomics analysis of soil were analyzed for a better understanding of the microbial diversity in relation to BSR disease. Study was conducted in three plantation sites of Sabah, Malaysia which incorporated different disease management and agronomic practices. The estates are located at Sandakan (Kam Cheong Plantation), Lahad Datu (FGV Ladang Sahabat) and Tawau (Warisan Gagah). Soil samples were collected from disease free, high and low BSR incidence plots. Illumina MiSeq metagenomic analysis using V3-V4 region of 16S rRNA gene was employed to study the microbial diversity. Bacteria (97.4%) and Archaea (0.2%) were found majority in kingdom taxonomy level. The most abundant phyla were Proteobacteria, Acidobacteria, Actinobacteria, and Verrucomicrobia. Higher alpha diversity of all species was observed among all tested soil from each estates. Beta analysis was analyzed using non phylogenetic UnifRac matrix and visualized using Principal Coordinates Analysis (PCoA). The tested soil samples in Kam Cheong Plantation were found to have similar bacterial communities. The data provided is useful as an indicator in developing biology controls against Ganoderma boninense.
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