4.6 Article

Quantitative Detection of Bifidobacterium longum Strains in Feces Using Strain-Specific Primers

Journal

MICROORGANISMS
Volume 9, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/microorganisms9061159

Keywords

strain-specific qualification; probiotics; B; longum sup; longum; bioinformatics; Roary; gut colonization

Categories

Funding

  1. National Natural Science Foundation of China Program [31820103010, 31871773]
  2. Projects of Innovation and Development Pillar Program for Key Industries in Southern Xinjiang of Xinjiang Production and Construction Corps [2018DB002]
  3. National Key Research and Development Project [2018YFC1604206]
  4. National First-Class Discipline Program of Food Science and Technology [JUFSTR20180102]
  5. BBSRC Newton Fund Joint Centre Award
  6. Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province

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A bioinformatics-based technique was used to identify strain-specific markers for quantifying the population of three distinct B. longum subsp. longum strains in human and mouse fecal samples. Pangenome analysis revealed a high percentage of strain-specific genes in B. longum subsp. longum, and specific genes were identified for each strain. The performance of qPCR primer-based analysis was validated using non-target microorganisms and fecal baseline microbiota, showing successful colonization of the target B. longum strains in the gut after oral administration.
We adopted a bioinformatics-based technique to identify strain-specific markers, which were then used to quantify the abundances of three distinct B. longum sup. longum strains in fecal samples of humans and mice. A pangenome analysis of 205 B. longum sup. longum genomes revealed the accumulation of considerable strain-specific genes within this species; specifically, 28.7% of the total identified genes were strain-specific. We identified 32, 14, and 49 genes specific to B. longum sup. longum RG4-1, B. longum sup. longum M1-20-R01-3, and B. longum sup. longum FGSZY6M4, respectively. After performing an in silico validation of these strain-specific markers using a nucleotide BLAST against both the B. longum sup. longum genome database and an NR/NT database, RG4-1_01874 (1331 bp), M1-20-R01-3_00324 (1745 bp), and FGSZY6M4_01477 (1691 bp) were chosen as target genes for strain-specific quantification. The specificities of the qPCR primers were validated against 47 non-target microorganisms and fecal baseline microbiota to ensure that they produced no PCR amplification products. The performance of the qPCR primer-based analysis was further assessed using fecal samples. After oral administration, the target B. longum strains appeared to efficiently colonize both the human and mouse guts, with average population levels of >10(8) CFU/g feces. The bioinformatics pipeline proposed here can be applied to the quantification of various bacterial species.

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