The paper, led by Miguel, with contributions from Joe, Ronit, Vinithra and Anatoly from the lab, as well as an interdisciplinary team from multiple dear collaborator labs, develops Pan-Mod-seq, a multi-sample, multi-treatment RNA-sequencing library preparation protocol permitting inference of 16 distinct modifications across dozens of samples in parallel, as well as the PANORAMA analysis pipeline. The approach was applied to RNA from 14 species spanning all domains of life, cultured under highly diverse conditions, concentrating mainly on archaeal and bacterial species, and on changes in the temperature the samples were grown in. We observe that while dynamic modifications are rare in mesophiles, in extreme hyperthermophiles ~50% of modifications are dynamic, including m5C, ac4C and pseudouridine (Ψ), and shed light on their regulation and function. Our findings systematically dissect rRNA modification plasticity, and pave the path for surveying the rRNA epitranscriptome in health and disease.