Fecal pollution indicators are essential to identify and remediate
contamination sources and protect public health. Historically, easily cultured
facultative anaerobes such as fecal coliforms, Escherichia
coli, or enterococci have been used, but these indicators generally
provide no information as to their source. More recently, molecular methods have
targeted fecal anaerobes, which are much more abundant in humans and other
mammals and some strains appear to be associated with certain host sources.
Next-generation sequencing and microbiome studies have created an unprecedented
inventory of microbial communities associated with fecal sources, allowing
reexamination of which taxonomic groups are best suited as informative
indicators. The use of new computational methods, such as oligotyping coupled
with well-established machine learning approaches, is providing new insights
into patterns of host association. In this review we examine the basis for
host-specificity and the rationale for using 16S rRNA gene targets for
alternative indicators and highlight two taxonomic groups,
Bacteroidales and Lachnospiraceae, which
are rich in host-specific bacterial organisms. Finally, we discuss
considerations for using alternative indicators for water quality assessments
with a particular focus on detecting human sewage sources of contamination.