Data from: Microbial composition play the leading role in volatile fatty acid production in the fermentation of different scale of corn stover with rumen fluid
Cite this dataset
Zhang, Haiyan et al. (2023). Data from: Microbial composition play the leading role in volatile fatty acid production in the fermentation of different scale of corn stover with rumen fluid [Dataset]. Dryad. https://doi.org/10.5061/dryad.z34tmpgm5
Abstract
Rumen fluid is a natural and green biocatalyst that can efficiently degrade biomass into volatile fatty acid (VFA) used to produce value-added materials. But the essence of high degradation efficiency in the rumen has not been fully analyzed. This study investigated the contribution of substrate structure and microbial composition to volatile fatty acid production in the fermentation of corn stover. The ball milled corn stover were innovatively applied to ferment with the rumen fluid collected at different digestion times. Exogeneous cellulase was also added to the ruminal fermentation to further reveal the inner mechanism. With prolonged digestion time, the microbial community relative abundance levels of Bacteroidetes and Firmicutes increased from 29.98% to 72.74% and decreased from 51.76% to 22.11%, respectively. The highest VFA production of the corn stover was achieved via treatment with the rumen fluid collected at 24 h which was up to 9508 mg/L. The ball milled corn stover achieved high VFA production because of the more accessible substrate structure. The application of exogenous cellulase has no significant influence to the ruminal fermentation. The microbial community abundance contributed more to the VFA production compared with the substrate structures.
README: Data from: Microbial composition play the leading role in volatile fatty acid production in the fermentation of different scale of corn stover with rumen fluid
https://doi.org/10.5061/dryad.z34tmpgm5
Description of the data and file structure
338F_806R.stat
The DNA sequencing data of the rumen fluid collected at different times.
In the data, Average length means the average sequence length.
Q20 and Q30 represent base error rates of 1% and 0.1%, respectively. We usually choose Q30 as the base quality evaluation standard, the larger the value of Q30, the better. Generally, the result will be better if Q30 is greater than 85%.Sharing/Access information
Data was derived from the following sources: The DNA was extracted from the samples and amplified via PCR using the primers 338F (5′-ACTCCTACGGGAGGCAGCA-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′) in the V3-V4 hypervariable regions of 16S rRNA.
Funding
China Postdoctoral Science Foundation