Strain-level profiling yields new insights into mother-infant microbiomes

Within a given bacterial species, gene content can vary by 50% or more from the reference genome. "This suggests massive variability at the strain level that could have real functional consequences," said senior author Katherine Pollard, PhD, from the Gladstone Institutes and the University of California, San Francisco (UCSF). "We saw a need for a computationally efficient tool to quantify this variation from shotgun metagenomics data."

The researchers developed the tool, MIDAS, for rapidly profiling differences in gene content and single nucleotide variants across bacterial strains. To build MIDAS, researchers first generated a database of 31,007 high-quality bacterial genomes. Using a set of 30 informative "universal" genes, they hierarchically clustered the genomes to define species. The researchers were able to assign 8.6% of the previously unannotated genomes to a species, and reassigned species for 9.8%.

Applying MIDAS to 98 mother and infant stool metagenomes, the researchers used strain-level genetic differences to track bacteria between mothers and infants. "Strain-level variants reveal patterns that contradict what one would assume from patterns at the species level," said first author Stephen Nayfach, a graduate student at UCSF. Previous studies suggested that mother and infant microbiomes become more similar over the first year of life. However, by examining "marker alleles," or rare genetic differences, the researchers found that early colonizing strains are transferred from the mother, but that late colonizing strains are different and likely are acquired from the environment. "The maturation of the infant gut microbiome over the first year gives the impression of ongoing transmissions from the mother," said Pollard. "But the genetic variants in the bacteria show that the acquired strains are often not the same as the mother's."

The researchers also applied MIDAS to marine samples collected at varying depths across the world's oceans. Most prevalent marine bacteria had differences in gene content that were strongly associated with geography. Additional work will be needed to distinguish whether genetic differences between locations are the result of adaptation or genetic drift within the species. "The next big challenge is to disentangle the forces that drive population structure in the microbiome and to associate this variability with traits of the host or environment," Pollard said.