Shu-Ping Tseng, Po-Wei Hsu, Chow-Yang Lee, Chin-Cheng Scotty Yang
Social insects differ from many other biological systems because colonies function as integrated reproductive, ecological, and evolutionary units, often conceptualized as superorganisms. This organization makes genetic inference inherently hierarchical, often requiring genotyping across multiple biological levels: the colony, the population, the individual, and, in some cases, the cellular level. Although whole-genome sequencing and single-nucleotide polymorphism (SNP)-based approaches are now widely used in population genomics, microsatellites or short tandem repeats (STRs) remain a useful approach for cost-effective, low-input, and highly replicated genotyping, particularly in the hierarchical sampling designs common in social insect studies. Here, we review the utility and limitations of microsatellites in social insect research using a three-tiered framework spanning colony-, population-, and individual- or cellular-level analyses. Across these scales, microsatellites are especially valuable for colony delimitation, kinship inference, diagnostic screening of known reproductive systems, and low-input genotyping. By comparing the suitability of microsatellites with that of SNP-based and broader genomic approaches across these applications, this review links marker choice to biological scale, sampling design, and inferential goal in studies of social insects.