The most recent advancements in the knowledge of sourdough ecologic meta-community come from the uncultured approach based on shotgun metagenomics sequencing and the downstream application of a series of bioinformatics/statistics tools properly concatenated in analytical pipelines. The bioinformatics analysis of raw read sequences has the aim of obtaining a precise quantification of gene annotation and taxonomic assignments. The inspection of this data allows for disclosing the contribution of species into this evolving, heterogeneous, and complex community made by bacteria and yeasts. The comprehensive dataset of taxa and their functional genomic potential is indicative both of metabolic active pathways and possible contaminations due to environmental factors or to human sourdough making processes. A dynamic interplay between major and minor taxa in terms of genomic contribution underlies those processes implying sourdough stability and resilience.

Basic Methods and Protocols on Sourdough Chapter: Shotgun Metagenomic Approaches

Francesco Maria Calabrese
;
Maria De Angelis
2024-01-01

Abstract

The most recent advancements in the knowledge of sourdough ecologic meta-community come from the uncultured approach based on shotgun metagenomics sequencing and the downstream application of a series of bioinformatics/statistics tools properly concatenated in analytical pipelines. The bioinformatics analysis of raw read sequences has the aim of obtaining a precise quantification of gene annotation and taxonomic assignments. The inspection of this data allows for disclosing the contribution of species into this evolving, heterogeneous, and complex community made by bacteria and yeasts. The comprehensive dataset of taxa and their functional genomic potential is indicative both of metabolic active pathways and possible contaminations due to environmental factors or to human sourdough making processes. A dynamic interplay between major and minor taxa in terms of genomic contribution underlies those processes implying sourdough stability and resilience.
2024
978-1-0716-3708-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/492840
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