11 research outputs found

    The 20 most highly-expressed genes, by fraction of amino acids, that have no measurable impact on growth.

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    <p>The 20 most highly-expressed genes, by fraction of amino acids, that have no measurable impact on growth.</p

    A Comparison of the Costs and Benefits of Bacterial Gene Expression

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    <div><p>To study how a bacterium allocates its resources, we compared the costs and benefits of most (86%) of the proteins in <i>Escherichia coli</i> K-12 during growth in minimal glucose medium. The cost or investment in each protein was estimated from ribosomal profiling data, and the benefit of each protein was measured by assaying a library of transposon mutants. We found that proteins that are important for fitness are usually highly expressed, and 95% of these proteins are expressed at above 13 parts per million (ppm). Conversely, proteins that do not measurably benefit the host (with a benefit of less than 5% per generation) tend to be weakly expressed, with a median expression of 13 ppm. In aggregate, genes with no detectable benefit account for 31% of protein production, or about 22% if we correct for genetic redundancy. Although some of the apparently unnecessary expression could have subtle benefits in minimal glucose medium, the majority of the burden is due to genes that are important in other conditions. We propose that at least 13% of the cell’s protein is “on standby” in case conditions change.</p></div

    The production of “unnecessary” proteins versus their importance in other conditions.

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    <p>Only genes that were not important for fitness in minimal glucose media are included. The <i>x</i> axis is as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0164314#pone.0164314.g001" target="_blank">Fig 1A</a>.</p

    The production of proteins versus their importance for growth.

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    <p>(A) For each class of gene, we show the distribution of protein expression, in parts per million of amino acids (<i>x</i> axis, log scale). Proteins with little or no expression are shown at 0.1 ppm. (B) The aggregate expression of each class of gene.</p

    Consistency of gene fitness values in minimal glucose medium.

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    <p>(A) Consistency between replicates at 12 generations. Fitness values less than −3 are shown at −3 so as to focus on the more subtle fitness defects that are more susceptible to noise. 123 genes have fitness under −3 in both replicates. (B) Consistency across time. Genes with significant phenotypes (of either sign) are subdivided into those with weak expression (under 2 ppm of monomers) or above. Fitness values less than −3 are shown at −3. (C) Consistency within each gene. Fitness values at 12 generations were computed separately for the first and second half of each gene that had sufficient coverage. (D) shows the same data as (C), but only for fitness values above −3. In all panels, lines show <i>x</i> = 0, <i>y</i> = 0, and <i>x</i> = <i>y</i>.</p

    Genome-wide identification of bacterial plant colonization genes

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    <div><p>Diverse soil-resident bacteria can contribute to plant growth and health, but the molecular mechanisms enabling them to effectively colonize their plant hosts remain poorly understood. We used randomly barcoded transposon mutagenesis sequencing (RB-TnSeq) in <i>Pseudomonas simiae</i>, a model root-colonizing bacterium, to establish a genome-wide map of bacterial genes required for colonization of the <i>Arabidopsis thaliana</i> root system. We identified 115 genes (2% of all <i>P</i>. <i>simiae</i> genes) with functions that are required for maximal competitive colonization of the root system. Among the genes we identified were some with obvious colonization-related roles in motility and carbon metabolism, as well as 44 other genes that had no or vague functional predictions. Independent validation assays of individual genes confirmed colonization functions for 20 of 22 (91%) cases tested. To further characterize genes identified by our screen, we compared the functional contributions of <i>P</i>. <i>simiae</i> genes to growth in 90 distinct in vitro conditions by RB-TnSeq, highlighting specific metabolic functions associated with root colonization genes. Our analysis of bacterial genes by sequence-driven saturation mutagenesis revealed a genome-wide map of the genetic determinants of plant root colonization and offers a starting point for targeted improvement of the colonization capabilities of plant-beneficial microbes.</p></div

    Genome-wide map of root colonization.

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    <p>(A) Inner to outer tracks: transposon insertion density (per 1 kb); fitness score for genes with enhanced colonization ability when mutated; dominant cluster of orthologous group (COG) category for operons with 3 or more colonization-enriched genes (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2002860#pbio.2002860.t001" target="_blank">Table 1</a>), gene density (for each strand); dominant COG category for operons with 3 or more colonization-reduced genes (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2002860#pbio.2002860.t001" target="_blank">Table 1</a>); fitness score for genes with reduced colonization ability when mutated; chromosomal position. (B) Color legend of dominant COG categories and highlights are shown. (B) Distribution of genes significantly depleted or enriched among COG categories (see <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2002860#pbio.2002860.s012" target="_blank">S1 Data</a>).</p

    Overview of root colonization randomly barcoded transposon mutagenesis sequencing (RB-TnSeq) screen.

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    <p>Wild-type <i>Pseudomonas simiae</i> WCS417r (A) was mutagenized with a mariner transposon system, generating 110,142 insertion mutants (B). Most insertion mutations do not significantly alter the growth phenotype on the root (black), while some insertion mutations make these mutant strains more (blue) or less (red) likely to colonize plant roots, while not significantly affecting their ability to grow in liquid culture or on the nylon substrate in the absence of plants (C). This mutant strain library was exposed to vertically-oriented phytagel plates with (D, left) or without (D, right) <i>Arabidopsis thaliana</i> seedlings. After colonization, surviving mutant strains from the root and from the plant-free mesh were collected and the abundance of insertion mutant strains within each population was quantified by RB-TnSeq. (F) Genes with under-represented insertion counts in the root population compared with the control population (shown here in red) were given low fitness scores (efficient colonization), while genes with over-represented counts were given high fitness scores.</p

    Selected groups of genes with reduced or enhanced fitness scores with putative functions highlighted by in vitro fitness data.

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    <p>Colonization-depleted (A and B) and colonization-enriched (C) genes were selected for their functional characteristics determined by in vitro growth assays. (A) Genes and in vitro conditions with at least 1 strong phenotype (|fitness score| > 2), excluding any gene with significantly reduced fitness in motility assays. (B) Operon (ID = 1,092) has 5 colonization-depleted genes, and is also required for resistance to antibiotics, including polymyxin B. (C) Colonization-enriched genes that also have significantly reduced fitness in many in vitro assays (see <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2002860#pbio.2002860.s008" target="_blank">S8 Fig</a>) with conditions in which the amino acids noted are the only carbon source. These genes have profiles consistent with amino acid auxotrophy. For (A), (B), and (C), gene names are presented on the right, data can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2002860#pbio.2002860.s012" target="_blank">S1 Data</a>. Conditions shown are labeled on the bottom. The color scale corresponding to the fitness score is shown at the top right. “Root colonization” (in green) refers to the root fitness score as described earlier (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2002860#sec002" target="_blank">Results</a>). Abbreviation: COG, cluster of orthologous group; RB-TnSeq, randomly barcoded transposon mutagenesis sequencing.</p
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