It is concluded that patterns of bacterial chromosomal gene positioning are consistent with moderate effects of selection on both mean and growth-dependent expression.
Abstract
In bacteria with circular chromosomes, genes near the replication origin (oriC) are replicated earlier and consequently attain higher copy numbers than genes near the terminus (ter), particularly during rapid growth. Hence, mutations altering a gene’s chromosomal position can affect its expression level and be subject to selection. Two non–mutually exclusive hypotheses regarding the target of this selection have been proposed. The mean expression hypothesis (MEH) posits that the target is a gene’s average expression across environments, whereas the growth-dependent expression hypothesis (GEH) proposes that the target is the growth dependence of gene expression, quantified by the expression slope—the change in expression level per unit change in growth rate. To test these hypotheses and assess their relative support, we analyze eight multi-environment protein expression datasets from three bacterial species, as well as Escherichia coli promoter strengths measured in two environments. Consistent with both MEH and GEH, we observe a significant decrease in both mean expression and expression slope from oriC to ter in six and four of the eight datasets, respectively. In regression models predicting gene position, the relative contributions of the two hypotheses differ across species. However, even when combined, the two hypotheses explain only a small fraction of chromosomal gene positioning, in part because the replication-dose effect is incompletely offset by compensatory evolution of individual promoter strengths. The positional gradients in mean and growth-dependent expression are disproportionately contributed by genes involved in translation and transcription. We conclude that patterns of bacterial chromosomal gene positioning are consistent with moderate effects of selection on both mean and growth-dependent expression.
Gene duplication is an important evolutionary mechanism contributing to genomic innovation and adaptation. While the long term fate of duplicated genes has been extensively studied, immediate effects such as those resulting from increase in gene dosage remain understudied. Of particular interest is the question of how...
F. Bédard, A. K. Dubé, Isabelle Gagnon-Arsenault et al.· bioRxiv· 0 citations
Novel protein-coding genes can emerge de novo from ancestrally noncoding sequences and promote adaptation to environmental stresses. Previous work proposes that pervasive translation of lowly expressed open reading frames (ORFs) in noncoding regions creates a rich reservoir of “proto-genes,” of which subsequent acquisi...
Lin Chou, N. Coelho, S. Parikh et al.· bioRxiv· 0 citations
New insights are provided into the genetic architecture and evolutionary forces shaping genome evolution in A. thaliana and a framework for investigating these processes in other plant species is established.
Christopher J. Fiscus, Daniel Koenig· eLife· 0 citations
In a model soil consortium, it is shown that environmentally-relevant conditions elicit substantially more abundant and broad GI excision than isolate cultures, indicating that conventional studies can miss an important layer of microbial genome dynamics.
Lillian C. Lowrey, Josué A. Rodríguez-Ramos, A. Zimmerman et al.· bioRxiv· 0 citations
Gene copy-number mutations are frequent and prevalent yet often overlooked. While initially considered to be the neutrally evolving raw material needed for the emergence of new genes through the process of gene duplication and divergence, recent technical advances and renewed interest start to unravel a fundamentally d...
Plasmid copy number (PCN) is a central determinant of recombinant gene expression levels and metabolic burden in bacterial cell factories. However, dynamic real-time control of PCN during microbial cultivation remains largely unexplored. In the ColE1/pUC19 replication system, PCN is governed by an antisense RNAI/RNAII...
Hannah Sehrt, M. Sehrt, J. A. Martínez et al.· bioRxiv· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.