Abstract

To reveal the dynamic process of cellulose biodegradation and explore more potential cellulases, a microbiota (FPDM) with cellulose-degrading ability was cultivated, and different stages of filter paper degradation were compared. Ion chromatography and comparative metagenomic sequencing revealed that the diversity of FPDM enhanced as the hydrolysate length diversity increased. Sporocytophaga and Cohnella dynamically dominated the synergistic degradation of cellulose in early-intermediate and intermediate-final periods, respectively. Moreover, 363 declining shifting and 231 progressive shifting unannotated genes were speculated to participate in the catabolism of cellulose to cellodextrin/cello-oligosaccharide and to cellobiose, respectively. Based on the dynamic changes in hydrolysates, community structure and gene abundance, a dynamic cellulose-degrading pathway of FPDM was predicted. Our work should provide a new perspective for subsequent identification of key cellulolytic strains and enzymes and clarification of the mechanism of cellulose biodegradation.

Highlights

  • As a green and sustainable bioenergy source, cellulose is difficult to degrade due to its large molecular weight and high structural complexity

  • Ion chromatography and comparative metagenomic sequencing revealed that the diversity of Filter paper-degrading microbiota (FP) enhanced as the complexity of hydrolysates increased, and the disturbance of FP was greater in early-intermediate than intermediate-final period

  • 432 genes were annotated to cellulolytic pathways, and 363 and 231 unannotated genes were speculated to be related to the degradation of cellulose to cellodextrin/cello-oligosaccharide and cellobiose, respectively

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Summary

Background

As a green and sustainable bioenergy source, cellulose is difficult to degrade due to its large molecular weight and high structural complexity. The inability to cultivate most of them, as well as their spatial diversity and temporal variability, limit the clear understanding of the relative area

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