This study was led by Profs. Chang‐Fu Tian and Ziding Zhang (College of Biological Sciences, China Agricultural University). Based on a robust Tn-seq analysis of independent mariner transposon insertion libraries of Sinorhizobium strains, pangenomic and network-based analyses allowed identification of a strain-dependent variation in the fitness network (harboring ES, GA, GD, and NE genes) of Sinorhizobium pangenome under a nutrient-rich condition. This fitness network is characterized by a highly connected ES subnetwork, and beneficial (GA) and deleterious (GD) subnetworks of lower connectivity. Genus core genes belonging to both the shared and strain-dependent essential zones of this fitness network exhibited a similar profile of functional categories, e.g., cell envelop biogenesis (Figure 1). The network-based analyses of the fuzzy essential zone of Sinorhizobium pangenome developed in this work can be used for any prokaryotes for which a robust Tn-seq procedure can be established. These efforts are significant for fully understanding the evolution of prokaryote pangenome, the in silico bipartition of which into essential core and non-essential accessory subsets is oversimplified.
How to cite this article:
Zhang P, Zhang B, Ji YY, Jiao J, Zhang Z, Tian C‐F. Cofitness network connectivity determines a fuzzy essential zone in open bacterial pangenome. mLife.2024;3:277–290.
https://doi.org/10.1002/mlf2.12132
mLife
Cofitness network connectivity determines a fuzzy essential zone in open bacterial pangenome
28-Jun-2024