NIH, National Cancer Institute, Division of Cancer Treatment and Diagnosis (DCTD) NIH - National Institutes of Health National Cancer Institute DCTD - Division of Cancer Treatment and Diagnosis

Fecal sample collection methods and time of day impact microbiome composition and short chain fatty acid concentrations.

Author(s): Jones J, Reinke SN, Ali A, Palmer DJ, Christophersen CT

Publication: Sci Rep, 2021, Vol. 11, Page 13964

PubMed ID: 34234185 PubMed Review Paper? No

Purpose of Paper

This paper investigated variability in the bacteriome, mycobiome, and short chain fatty acid (SCFA) profile that occurred between subjects, between bowel movements (first morning versus next within 25 h) and within a specimen, mycobiome and using fecal specimens from six healthy women. Additionally, the bacteriome, mycobiome and SCFA profile were compared among fecal aliquots that were frozen or stored for 12 days at room temperature in Norgen or OMNIgene-Gut tubes.

Conclusion of Paper

In principal coordinate analysis (PCoA) and hierarchical clustering based on the bacteriome or mycobiome, specimens clustered based on subject, but the distinction between subjects was greater for the bacteriome than mycobiome. β-diversity (Euclidian and Bray–Curtis distances) also showed significant differences in the bacterial and fungal communities between subjects. Comparisons of specimens within a single bowel movement and between bowel movements revealed similar phylogenetic diversity (3 of 3 subjects) but higher variabilitybetween than within a bowel movement for Shannon diversity (5 of 6 subjects) and more variability in Chao1 species richness within a bowel movement than between bowel movements (four of six subjects). The second specimen collected (within 25 h of the first) had a non-significant trend toward lower bacterial richness (p = 0.45) and diversity estimates (p = 0.95) compared to the first specimen from 4 of 6 subjects, but no difference in mycobiome diversity between the two specimens was observed. ASV analysis found enrichment of Acidaminococcaceae and Lachnospiraceae and reduced Dialisteraceae and Muribaculac in the second fecal specimen relative to the first. While PCoA based on bacteriome β-diversity (Euclidian and Bray–Curtis distances) primarily separated specimens based on subject, but separation based on preservation also occurred. PERMANOVA confirmed significant differences in both β-diversity metrics between immediately frozen specimens and those preserved/stored in either the Norgen or OMNIgene-Gut tubes, as well as significant differences between specimens stored in Norgen and OMNIgene-Gut tubes. Regardless of collection/preservation method, Bacteroidaceae was the most abundant family (38% in frozen, 43% in Norgen, and 39% in OMNIgene-Gut), but specimens stored in Norgen or OMNIgene-Gut tubes had significantly more Ruminococcaceae than frozen specimens (17% and 33%, respectively versus 7%, P<0.001).  While the abundance of several phyla were found to differ between frozen specimens and those preserved/stored in Norgen or OMNIgene-Gut tubes, only the lower abundance of Coriobacteria and Negativicutes in frozen relative to OMNIgene-GUT specimens were significant after FDR correction.

Although SCFA levels were unaffected by preservation/storage method, acetic acid levels were highly variable in all subjects. While acetic acid and valeric acid levels were as variable within a fecal specimen as between three different bowel movements, the variability among bowel movements was greater than the variability within a single specimen for propionic acid. When compared to the second specimen collected with a 25 h period, the first had lower total SCFA concentration (p = 0.04) and acetic acid concentration (p = 0.03). In principal component analysis based on SCFE concentration, specimens clustered based on the Bristol Stool Form Scale (BSFS).

Studies

  1. Study Purpose

    This study investigated variability in the bacteriome and mycobiome that occurred between subjects, between bowel movements (first morning versus the next within 25 h) and within a specimen using fecal specimens from six healthy women and V4 16S rRNA and ITS2 sequencing, respectively.  Additionally, the bacteriome and mycobiome were compared among aliquots from the same bowel movement that were frozen or stored for 12 days at room temperature in Norgen or OMNIgene-Gut tubes. Three fecal specimens were self-collected at home by six healthy volunteers (25-40 years), with the first two collected in the morning and the third at the next bowel movement after the second (<25 h). At the first collection, three aliquots and the remaining specimen (whole specimen) were frozen for transport (details not provided), and on arrival at the lab stored at -80°C, thawed at 4°C, homogenized, aliquoted for sequencing and refrozen at either -80°C or -20°C (there is a discrepancy between the temperature noted in the text and the figure). At the second and third collection, specimens were frozen and transported to the laboratory where aliquots were placed in OMNIgene-Gut and Norgen Stool Nucleic Acid Collection and Preservation Tubes and stored at room temperature for 12 days while the remainder of the fecal specimen was homogenized and stored at either -80°C or -20°C (there is a discrepancy between the temperature noted in the text and the figure). DNA was extracted from frozen specimens (after they were thawed on ice) and preserved specimens (after shaking) using the QIAamp Power Fecal DNA Kit on a QIAcube. The V4 region of 16S rRNA (bacterial) and ITS2 (Fungal) DNA was PCR amplified with barcoded primers. Sequencing libraries were prepared from equimolar concentrations of the bacterial and fungal libraries and pair-end sequenced using an Illumina MiSeq instrument and the V2 500 cycle Kit.  Reads were demultiplexed, quality filtered, trimmed and those with ambiguous bases or >2 errors were discarded with no mismatches allowed. Amplicon sequence variants (ASVs) were inferred using the pseudo-pooled method and those meeting overlap and mismatch thresholds (≥60 bp and ≤ 1 mismatch for 16S V4 and ≥30 bp and no mismatches for ITS2) were retained at ≥251 bp (16S V4) or ≥150 bp (ITS2) and classified using the “Classification for 16S sequence variants the Genome Taxonomy” reference database (release 95) for 16SV4 and the UNITE general FASTA release for Fungi (version 18.11.2018). α-diversity was analyzed using R and β-diversity was compared using PERMANOVA in PRIMER-e v7 and visualized using principal coordinate analysis (PCoA).

    Summary of Findings:

    Principal coordinate analysis (PCoA) based on the bacteriome clearly separated specimens based on subject, but the clustering based on the mycobiome was less distinct; nevertheless,β-diversity (Euclidian and Bray–Curtis distances) showed significant differences in the bacterial and fungal community between subjects (PERMANOVA, P<0.02). Hierarchical clustering based on the mycobiome or bacteriome clustered specimens based on subject, as the three individual aliquots, the combined aliquot and the whole (remaining) fecal specimen grouped together, with more distinction between subjects in the bacteriome clustering than the mycobiome clustering. While phylogenetic diversity (3 of 3 subjects) was as variable within a fecal specimen as between three different bowel movements, the variability among bowel movements was greater than the variability within a single specimen for Shannon diversity (5 of 6 subjects), and the variability in Chao1 species richness within a specimen was greater than the variability between bowel movements (four of six subjects). The second specimen collected in a 25 h period had a non-significant trend toward lower bacterial richness (p = 0.45) and diversity estimates (p = 0.95) compared to the first specimen from 4 of 6 subjects, but no difference in mycobiome diversity between the two specimens was observed. ASV analysis found enrichment of Acidaminococcaceae and Lachnospiraceae and reduced Dialisteraceae and Muribaculac in the second fecal specimen relative to the first.  PCoA based on bacteriome β-diversity (Euclidian and Bray–Curtis distances) primarily showed separation based on subject but some sub-clustering of frozen specimens from those preserved/stored in either the Norgen or OMNIgene-Gut tubes was observed. PERMANOVA confirmed significant differences in both β-diversity metrics between immediately frozen specimens and those preserved with either the Norgen or OMNIgene-Gut tubes (P<0.01), as well as significant differences between those preserved/stored in Norgen versus OMNIgene-Gut tubes (P<0.01 for Bray–Curtis and P=0.04 for Euclidian distance). Regardless of preservation/storage method, Bacteroidaceae was the most abundant family (38% in frozen, 43% in Norgen, and 39% in OMNIgene-Gut), but specimens stored in Norgen or OMNIgene-Gut tubes had significantly more Ruminococcaceae than frozen specimens (17% and 33%, respectively versus 7%, P<0.001).  While the abundance of several phyla were found to differ between frozen specimens and those preserved/stored in Norgen or OMNIgene-Gut tubes, only the lower abundance of Coriobacteria and Negativicutes in frozen relative to OMNIgene-GUT specimens were significant after FDR correction.

    Biospecimens
    Preservative Types
    • Other Preservative
    • Frozen
    Diagnoses:
    • Normal
    Platform:
    AnalyteTechnology Platform
    DNA Next generation sequencing
    Pre-analytical Factors:
    ClassificationPre-analytical FactorValue(s)
    Next generation sequencing Specific Targeted nucleic acid V4 16S rRNA
    ITS2
    Biospecimen Acquisition Time of biospecimen collection First bowel movement of the day
    Next bowel movement (<25 h after first)
    Biospecimen Aliquots and Components Biospecimen heterogeneity Multiple specimens analyzed
    Specimen sub-sampling
    Biospecimen Preservation Type of fixation/preservation Frozen
    Norgen stool preservation agent
    OMNIgene GUT
    Storage Storage conditions Room temperature in OMNIgene-Gut tube for 12 d
    Frozen
    Room temperature in Norgen Stool tube for 12 d
  2. Study Purpose

    This study investigated the variability in the short chain fatty acid (SCFA) profile that occurred between subjects, between bowel movements (first morning versus next within 25 h) and within a specimen. Additionally, the SCFA profile was compared among fecal aliquots that were frozen or stored for 12 days at room temperature in Norgen or OMNIgene-Gut tubes. Three fecal specimens were self-collected at home by six healthy volunteers (25-40 years) with the first two collected in the morning and the third collected at the next bowel movement after the second specimen (<25 h). At the first collection, three aliquots and the remaining specimen (whole specimen) were frozen for transport (details not provided), and stored at -80°C on arrival at the lab, thawed at 4°C, homogenized, aliquoted for SCFA and refrozen at -80°C or -20°C (there is a discrepancy between the temperature noted in the text and the figure). At the second and third collection, specimens were frozen and transported to the laboratory where aliquots were placed in OMNIgene-Gut and Norgen Stool Nucleic Acid Collection and Preservation Tubes and stored at room temperature for 12 days while the remainder of the fecal specimen was homogenized and stored at -80°C or -20°C (there is a discrepancy between the temperature noted in the text and the figure). SCFA levels were quantified by gas chromatography mass spectrometry (GC–MS).

    Summary of Findings:

    SCFA levels were unaffected by preservation/storage method, but acetic acid levels were highly variable in all subjects. While acetic acid and valeric acid levels were as variable within a fecal specimen as between the three different bowel movements from an individual, the variability among bowel movements was greater than the variability within a single specimen for propionic acid. When consecutive bowel movements were compared the first had lower total SCFA concentration (p = 0.04) and acetic acid concentration (p = 0.03). In Principal component analysis based on SCFE concentration, specimens clustered based on the Bristol Stool Form Scale (BSFS).

    Biospecimens
    Preservative Types
    • Other Preservative
    • Frozen
    Diagnoses:
    • Normal
    Platform:
    AnalyteTechnology Platform
    Small molecule GC-MS
    Pre-analytical Factors:
    ClassificationPre-analytical FactorValue(s)
    Biospecimen Acquisition Time of biospecimen collection First bowel movement of the day
    Next bowel movement (<25 h after first)
    Storage Storage conditions Room temperature in OMNIgene-Gut tube for 12 d
    Room temperature in Norgen Stool tube for 12 d
    Frozen
    Biospecimen Preservation Type of fixation/preservation Frozen
    Norgen stool preservation agent
    OMNIgene GUT
    Biospecimen Aliquots and Components Biospecimen heterogeneity Multiple specimens analyzed
    Specimen sub-sampling

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