Metabolite Identification and Pathway Analysis

Chroma TOF v. 4.3X software (https://www.lecosoftware.com/chromatof) and the LECO-Fiehn Rtx5 database (LECO Corporation, St. Joseph, MI, USA) were used to identify raw peaks, filter and calibrate data baselines, align and identify the peaks, integrate their areas, and perform a deconvolution analysis^{101 (link)}. Mass spectrum and retention index matching were considered in metabolite identification. Peaks detected in < 50% and RSD in > 30% of the QC samples were removed^{102 (link)}. Differential metabolite screening was conducted using previously published methods⁹³ and peaks with similarity greater than 700, variable importance projection (VIP) exceeding 1.0 and P < 0.05 by t-test were selected as the reliable differentially expressed metabolites. KEGG database was used to search for differential metabolite pathways^{103 (link),104 (link)}.

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Hu Y., He Y., Gao S., Liao Z., Lai T., Zhou H., Chen Q., Li L., Gao H, & Lu W. (2020). The effect of a diet based on rice straw co-fermented with probiotics and enzymes versus a fresh corn Stover-based diet on the rumen bacterial community and metabolites of beef cattle. Scientific Reports, 10, 10721.

Publication 2020

LECO-Fiehn Rtx5 database

Baselines Mass spectrum Retention

Corresponding Organization :

Other organizations : Jiangxi Agricultural University, Yichun University

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Variable analysis

independent variables

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dependent variables

Metabolite profiles

control variables

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controls

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Negative controls: Not mentioned

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