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. 2022 Nov 28;13:1006946. doi: 10.3389/fmicb.2022.1006946

Table 2.

Summary of studies involving use of one or more omics methodologies and the statistical data reduction commonly applied.

Ref. Omics field Study subject Subject type Experiment Highlighted number of features Data reduction
Imdahl et al. (2020) Transcriptomics Salmonella enterica serovar Typhimurium Bacteria Late stationary phase, anaerobic shock, NaCl shock Pool: 101 (anaer.); 274 (NaCl)
Single c.: 63 (anaer.); 131 (NaCl)
Unbiased clustering by PCA, DEGs (DESeq2)
Laguna-Teno et al. (2020) Transcriptomics Saccharomyces cerevisiae Fungi/yeast Toxicology exposure, two GOs vs. control 1,181 (GOC); 340 (GO) PCA, DEGs, FDR, FC, functional annotation
Semmouri et al. (2020) Transcriptomics Zooplankton community Environmental community Seasonal community characterization Over 3,000 annotated transcripts per sample Functional interpretation
Bengtsson et al. (2016) Proteomics Hypocrea jecorina Fungi Secretome characterization 155 identified proteins Hierarchical clustering
Bona et al. (2019) Proteomics Vitis vinifera cv. Pinot Noir rhizosphere Environmental community Proteome and taxonomy characterization 579 identified proteins Functional interpretation
Knox et al. (2016) Proteomics Aspergillus fumigatus Fungi ISS strains vs. clinical isolates N/S One-way ANOVA, comparison of fold change (Log2)
Ram et al. (2005) Genomics
Proteomics
Natural acid mine drainage biofilm Environmental community Characterization of a naturally occurring biofilm 2,003 identified proteins Functional interpretation
Zhang et al. (2014) Proteomics Shewanella oneidensis Bacteria Alginate entrapped cultures vs. biofilms 1,712 identified proteins Student’s t-test
Khakimov et al. (2017) Metabolomics Streptoccoccus thermophilus Bacteria Several time points through fermentation process 64 identified peaks PARAFAC2, PCA, ASCA
Favre et al. (2017) Metabolomics Persicivirga (Nonlabens) mediterranea; Pseudoalteromonas lipolytica; Shewanella sp. Bacteria Characterization of response to culture medium, growth phase, culture mode 155 ± 22 m/z features PCA, PLS-DA
Lu et al. (2019) Metabolomics Uropathogenic Escherichia coli Bacteria Comparison between biofilm and planktonic stages 38 differential metabolites Unsupervised PCA, PLS-DA, heatmap
Stipetic et al. (2016) Metabolomics Staphylococcus aureus Bacteria Comparison between biofilm and planktonic stages 530 significant metabolites Bayes moderated t-tests, FDR, PCA
Afshari et al. (2020) Genomics
Metabolomics
Cheddar cheese microbial community Environmental community Comparison between industrial vs. traditional cheese, outer surface vs. core 46 metabolites (GC–MS)
8,000 features (LC–MS)
ANOSIM, PCA, MCIA (integration), Spearman analysis
Parrot et al. (2019) Genomics
Metabolomics
Imaging
Fucus vesiculosus surface microbiome Environmental community Comparison of surface metabolome with whole tissue extract 50 metabolites (surface) 27 metabolites (extracts) One-way PERMANOVA, PCoA, HAC

PCA, principal component analysis; DEGs, differentially expressed genes; Ref., reference; FC, fold change; ISS, international space station; N/S, not stated; N/A, not applicable; Single c., single cell; anaer., anaerobic; ASCA, ANOVA-simultaneous component analysis; PLS-DA, partial least-squares discriminate analysis; FDR, Benjamini and Hochberg false discovery rate; MCIA, multiple co-inertia analysis; HAC, hierarchical ascendant classification; PCoA, principal coordinates analysis; ASV, amplicon sequence variant; WWTP, wastewater treatment plant.