Comparative Genomic Insights into Chemoreceptor Diversity and Habitat Adaptation of Archaea.

Diverse archaea, including many unknown species and phylogenetically deeply rooted taxa, survive in extreme environments. They play crucial roles in the global carbon cycle and element fluxes in many terrestrial, marine, saline, host-associated, hot-spring, and oilfield environments. There is little knowledge of the diversity of chemoreceptors that are presumably involved in their habitat adaptation. Thus, we have explored this diversity through phylogenetic and comparative genomic analyses of complete archaeal genomes. The results show that chemoreceptors are significantly richer in archaea of mild environments than in those of extreme environments, that specific ligand-binding domains of the chemoreceptors are strongly associated with specific habitats, and that the number of chemoreceptors correlates with genome size. The results indicate that the successful adaptation of archaea to specific habitats has been associated with the acquisition and maintenance of chemoreceptors, which may be crucial for their survival in these environments. Archaea are capable of sensing and responding to environmental changes by several signal transduction systems with different mechanisms. Much attention is paid to model organisms with complex signaling networks to understand their composition and function, but general principles regarding how an archaeal species organizes its chemoreceptor diversity and habitat adaptation are poorly understood. Here, we have explored this diversity through phylogenetic and comparative genomic analyses of complete archaeal genomes. Signaling sensing and adaptation processes are tightly related to the ligand-binding domain, and it is clear that evolution and natural selection in specialized niches under constant conditions have selected for smaller genome sizes. Taken together, our results extend the understanding of archaeal adaptations to different environments and emphasize the importance of ecological constraints in shaping their evolution.