Quantitative analysis of a virulent bacteriophage transcription strategy

Rethinking Phage Ecology by Rooting it Within an Established Plant Framework

Despite the abundance and significance of bacteriophages to microbial ecosystems, no broad ecological frameworks exist within which to determine "bacteriophage types" that reflect their ecological strategies and ways in which they interact with bacterial cells. To address this, we repurposed the well-established Grime's triangular CSR framework, which classifies plants according to three axes: competitiveness (C), ability to tolerate stress (S), and capacity to cope with disturbance (R). This framework is distinguished from other accepted schemes, as it seeks to identify individual characteristics of plants to understand their biological strategies and roles within an ecosystem. Our repurposing of the CSR triangle is based on phage transcription and the observation that typically phages have three major distinguishable transcription phases: early, middle, and late. We hypothesize that the proportion of genes expressed in these phases reflects key information about the phage "ecological strategy," namely the C, S, and R strategies, allowing us to examine phages in a similar way to how plants are projected onto the triangle. In the "phage version" of this scheme, we suggest: (1) that some phages prioritize the early phase of transcription that shuts off host defense mechanisms, which reflects competitiveness; (2) other phages prioritize tuning resource management mechanisms in the cell such as nucleotide metabolism during their "mid" expression profile to tolerate stress; and (3) a further subset of phages (termed Ruderals) survive disturbance by investing significant resources into regeneration so they express a higher proportion of their genes during late infection. We examined 42 published phage transcriptomes and show that they fall into discrete CSR categories according to their expression profiles. We discuss these positions in the context of their biology, which is largely consistent with our predictions of specific phage characteristics. In this opinion article, we suggest a starting point to ascribe phages into different functional types and thus understand them in an ecological framework. We suggest that this may have far-reaching implications for the application of phages in therapy and their exploitation to manipulate bacterial communities. We invite further use of this framework via our online tool; www.PhageCSR.ml.

The Xp10 Bacteriophage Protein P7 Inhibits Transcription by the Major and Major Variant Forms of the Host RNA Polymerase via a Common Mechanism

The σ factor is a functionally obligatory subunit of the bacterial transcription machinery, the RNA polymerase. Bacteriophage-encoded small proteins that either modulate or inhibit the bacterial RNAP to allow the temporal regulation of bacteriophage gene expression often target the activity of the major bacterial σ factor, σ⁷⁰. Previously, we showed that during Xanthomonas oryzae phage Xp10 infection, the phage protein P7 inhibits the host RNAP by preventing the productive engagement with the promoter and simultaneously displaces the σ⁷⁰ factor from the RNAP. In this study, we demonstrate that P7 also inhibits the productive engagement of the bacterial RNAP containing the major variant bacterial σ factor, σ⁵⁴, with its cognate promoter. The results suggest for the first time that the major variant form of the host RNAP can also be targeted by bacteriophage-encoded transcription regulatory proteins. Since the major and major variant σ factor interacting surfaces in the RNAP substantially overlap, but different regions of σ⁷⁰ and σ⁵⁴ are used for binding to the RNAP, our results further underscore the importance of the σ–RNAP interface in bacterial RNAP function and regulation and potentially for intervention by antibacterials.

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Xp10 phage transcription regulator P7 inhibits transcription by RNAP containing σ⁵⁴.

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P7 prevents the productive engagement of the σ⁵⁴–RNAP with the promoter DNA.

• P7 disrupts preformed σ⁵⁴–RNAP-promoter complexes.

Bioinformatics as a first-line approach for understanding bacteriophage transcription

Current approach to understanding bacteriophage transcription strategies during infection includes a combination of experimental and bioinformatics approaches, which is often time and resource consuming. Given the exponentially growing number of sequenced bacteriophage genomes, it becomes sensible asking to what extent one can understand bacteriophage transcription by using bioinformatics methods alone. We here argue that a suitable choice of computational methods may provide a highly efficient first-line approach for underst-anding bacteriophage transcription.

Inferring bacteriophage infection strategies from genome sequence: analysis of bacteriophage 7-11 and related phages

Background

Analyzing regulation of bacteriophage gene expression historically lead to establishing major paradigms of molecular biology, and may provide important medical applications in the future. Temporal regulation of bacteriophage transcription is commonly analyzed through a labor-intensive combination of biochemical and bioinformatic approaches and macroarray measurements. We here investigate to what extent one can understand gene expression strategies of lytic phages, by directly analyzing their genomes through bioinformatic methods. We address this question on a recently sequenced lytic bacteriophage 7 - 11 that infects bacterium Salmonella enterica.

Results

We identify novel promoters for the bacteriophage-encoded σ factor, and test the predictions through homology with another bacteriophage (phiEco32) that has been experimentally characterized in detail. Interestingly, standard approach based on multiple local sequence alignment (MLSA) fails to correctly identify the promoters, but a simpler procedure that is based on pairwise alignment of intergenic regions identifies the desired motifs; we argue that such search strategy is more effective for promoters of bacteriophage-encoded σ factors that are typically well conserved but appear in low copy numbers, which we also verify on two additional bacteriophage genomes. Identifying promoters for bacteriophage encoded σ factors together with a more straightforward identification of promoters for bacterial encoded σ factor, allows clustering the genes in putative early, middle and late class, and consequently predicting the temporal regulation of bacteriophage gene expression, which we demonstrate on phage 7-11.

Conclusions

While MLSA algorithms proved highly useful in computational analysis of transcription regulation, we here established that a simpler procedure is more successful for identifying promoters that are recognized by bacteriophage encoded σ factor/RNA polymerase. We here used this approach for predicting sequence specificity of a novel (bacteriophage encoded) σ factor, and consequently inferring phage 7-11 transcription strategy. Therefore, direct analysis of bacteriophage genome sequences is a plausible first-line approach for efficiently inferring phage transcription strategies, and may provide a wealth of information on transcription initiation by diverse σ factors/RNA polymerases.

A bacteriophage transcription regulator inhibits bacterial transcription initiation by σ-factor displacement

Bacteriophages (phages) appropriate essential processes of bacterial hosts to benefit their own development. The multisubunit bacterial RNA polymerase (RNAp) enzyme, which catalyses DNA transcription, is targeted by phage-encoded transcription regulators that selectively modulate its activity. Here, we describe the structural and mechanistic basis for the inhibition of bacterial RNAp by the transcription regulator P7 encoded by Xanthomonas oryzae phage Xp10. We reveal that P7 uses a two-step mechanism to simultaneously interact with the catalytic β and β' subunits of the bacterial RNAp and inhibits transcription initiation by inducing the displacement of the σ(70)-factor on initial engagement of RNAp with promoter DNA. The new mode of interaction with and inhibition mechanism of bacterial RNAp by P7 underscore the remarkable variety of mechanisms evolved by phages to interfere with host transcription.

Temporal regulation of gene expression of the Escherichia coli bacteriophage phiEco32

Escherichia coli phage phiEco32 encodes two proteins that bind to host RNA polymerase (RNAP): gp79, a novel protein, and gp36, a distant homolog of σ(70) family proteins. Here, we investigated the temporal pattern of phiEco32 and host gene expression during infection. Host transcription shutoff and three distinct bacteriophage temporal gene classes (early, middle, and late) were revealed. A combination of bioinformatic and biochemical approaches allowed identification of phage promoters recognized by a host RNAP holoenzyme containing the σ(70) factor. These promoters are located upstream of early phage genes. A combination of macroarray data, primer extension, and in vitro transcription analyses allowed identification of six promoters recognized by an RNAP holoenzyme containing gp36. These promoters are characterized by a single-consensus element tAATGTAtA and are located upstream of the middle and late phage genes. Curiously, gp79, an inhibitor of host and early phage transcription by σ(70) holoenzyme, activated transcription by the gp36 holoenzyme in vitro.

The elusive object of desire--interactions of bacteriophages and their hosts

Bacteria and their viruses (phages) are locked in an evolutionary contest, with each side producing constantly changing mechanisms of attack and defense that are aimed to increase the odds of survival. As a result, phages play central roles in a great variety of genetic processes and increase the rate of evolutionary change of the bacterial host, which could ultimately work to the benefit of the host in a long run.

Comparison of genomes of three Xanthomonas oryzae bacteriophages

BACKGROUND

Xp10 and OP1 are phages of Xanthomonas oryzae pv. oryzae (Xoo), the causative agent of bacterial leaf blight in rice plants, which were isolated in 1967 in Taiwan and in 1954 in Japan, respectively. We recently isolated the Xoo phage Xop411.

RESULTS

The linear Xop411 genome (44,520 bp, 58 ORFs) sequenced here is 147 bp longer than that of Xp10 (60 ORFs) and 735 bp longer than that of OP1 (59 ORFs). The G+C contents of OP1 (51%) and Xop411 and Xp10 (52% each) are less than that of the host (65%). The 9-bp 3'-overhangs (5'-GGACAGTCT-3') in Xop411 and Xp10 are absent from OP1. More of the deduced Xop411 proteins share higher degrees of identity with Xp10 than with OP1 proteins, while the right end of the genomes of Xp10 and OP1, containing all predicted promoters, share stronger homology. Xop411, Xp10, and OP1 contain 8, 7, and 6 freestanding HNH endonuclease genes, respectively. These genes can be classified into five groups depending on their possession of the HNH domain (HNN or HNH type) and/or AP2 domain in intact or truncated forms. While the HNN-AP2 type endonuclease genes dispersed in the genome, the HNH type endonuclease genes, each with a unique copy, were located within the same genome context. Mass spectrometry and N-terminal sequencing showed nine Xop411 coat proteins, among which three were identified, six were assigned as coat proteins (4) and conserved phage proteins (2) in Xp10. The major coat protein, in which only the N-terminal methionine is removed, appears to exist in oligomeric forms containing 2 to 6 subunits. The three phages exhibit different patterns of domain duplication in the N-terminus of the tail fiber, which are involved in determination of the host range. Many short repeated sequences are present in and around the duplicated domains.

CONCLUSION

Geographical separation may have confined lateral gene transfer among the Xoo phages. The HNN-AP2 type endonucleases were more likely to transfer their genes randomly in the genome and may degenerate after successful transmission. Some repeated sequences may be involved in duplication/loss of the domains in the tail fiber genes.

Temporal regulation of viral transcription during development of Thermus thermophilus bacteriophage phiYS40

Regulation of gene expression of lytic bacteriophage varphiYS40 that infects the thermophilic bacterium Thermus thermophilus was investigated and three temporal classes of phage genes, early, middle, and late, were revealed. varphiYS40 does not encode a (RNAP) and must rely on host RNAP for transcription of its genes. Bioinformatic analysis using a model of Thermus promoters predicted 43 putative sigma(A)-dependent -10/-35 class phage promoters. A randomly chosen subset of those promoters was shown to be functional in vivo and in vitro and to belong to the early temporal class. Macroarray analysis, primer extension, and bioinformatic predictions identified 36 viral middle and late promoters. These promoters have a single common consensus element, which resembles host sigma(A) RNAP holoenzyme -10 promoter consensus element sequence. The mechanism responsible for the temporal control of the three classes of promoters remains unknown, since host sigma(A) RNAP holoenzyme purified from either infected or uninfected cells efficiently transcribed all varphiYS40 promoters in vitro. Interestingly, our data showed that during infection, there is a significant increase and decrease of transcript amounts of host translation initiation factors IF2 and IF3, respectively. This finding, together with the fact that most middle and late varphiYS40 transcripts were found to be leaderless, suggests that the shift to late viral gene expression may also occur at the level of mRNA translation.