Characterization of the gut microbiota of Papua New Guineans using reverse transcription quantitative PCROriginal paper
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.
Read MoreWhat was studied?
Researchers characterized gut microbiota in 115 Papua New Guineans living a subsistence lifestyle across two highland regions and one lowland region. Stool RT-qPCR quantified eleven bacterial groups, including Prevotella, Bacteroides fragilis group, Bifidobacterium, Enterobacteriaceae, Enterococcus, Staphylococcus, and Lactobacillus subgroups.
How was it studied?
Faecal samples were preserved in RNAlater and analyzed by reverse transcription quantitative PCR (Yakult Intestinal Flora-SCAN) targeting 16S and 23S rRNA. Principal coordinates analysis (PCoA, CATPCA) grouped bacterial taxa and tested associations with region, age, and sex.
What did they find?
Prevotella (mean log 9.0 per gram) exceeded Bacteroides fragilis group (log 6.8) in 101 of 115 participants, with an inverse relationship between the two genera. PCoA separated Prevotella, clostridia, Atopobium, Enterobacteriaceae, Enterococcus and Staphylococcus in one dimension from Bacteroides fragilis, Bifidobacterium and Lactobacillus in another. Highlanders had significantly higher Bacteroidetes, Firmicutes, Enterobacteriaceae, Actinobacteria, Lactobacillus and total bacterial counts than lowlanders (all p less than 0.01); age and sex showed few consistent associations.
Why it matters
This is one of the few detailed gut microbiota surveys from a low-income, non-Western subsistence population, filling a geographic gap dominated by high-income cohorts. The Prevotella-dominant, low-Bacteroides pattern parallels other traditional high-carbohydrate diets and may reflect adaptation for energy extraction from fiber-rich staples.