This web page was created programmatically, to learn the article in its authentic location you may go to the hyperlink bellow:
https://journals.plos.org/plosbiology/article%3Fid%3D10.1371/journal.pbio.3003568
and if you wish to take away this text from our web site please contact us
Citation: Huss P, Chitboonthavisuk C, Meger A, Nishikawa Okay, Oates RP, Mills H, et al. (2026) Microgravity reshapes bacteriophage–host coevolution aboard the International Space Station. PLoS Biol 24(1):
e3003568.
https://doi.org/10.1371/journal.pbio.3003568
Academic Editor: Jeremy J. Barr, Monash University, AUSTRALIA
Received: April 20, 2025; Accepted: December 2, 2025; Published: January 13, 2026
Copyright: © 2026 Huss et al. This is an open entry article distributed beneath the phrases of the Creative Commons Attribution License, which allows unrestricted use, distribution, and replica in any medium, supplied the unique creator and supply are credited.
Data Availability: All related knowledge are inside the paper and its Supporting information and Data information.
Funding: This work was supported by the Defense Threat Reduction Agency (https://www.dtra.mil/) (Grant HDTRA1-16-1-0049) to S.R. C.C. was supported by a graduate coaching scholarship from the Anandamahidol Foundation (Thailand). The sponsors or funders didn’t play any position within the examine design, knowledge assortment and evaluation, choice to publish, or preparation of the manuscript.
Competing pursuits: I’ve learn the journal’s coverage and the authors of this manuscript have the next competing pursuits: P.H. and S.R. have fairness holdings are board members of Synpha Biosciences, a phage therapeutics firm. Authors RPO, HM and OH are staff of Rhodium Scientific Inc. The authors declare that they don’t have any different competing pursuits.
Abbreviations:
CFUs,
colony-forming items; DMS,
deep mutational scanning; FDR,
false discovery fee; GO,
Gene Ontology; ISS,
International Space Station; LB,
Luria-Bertani; MOI,
multiplicity of an infection; PFUs,
plaque-forming items; RBP,
receptor binding protein; SD,
commonplace deviation; WGS,
whole-genome sequencing
Introduction
The interplay between bacteriophages (or “phages”) and their bacterial hosts performs a elementary position in shaping microbial ecosystems each in people and within the setting [1–6]. Phages act as main drivers of bacterial range and evolutionary change of their bacterial prey. These interactions are decided not solely by the molecular compatibility of phages and hosts but additionally by the bigger bodily context wherein infections happen, with components comparable to fluid mixing, nutrient gradients, and the underlying physiology of each the bacterial cell and the phage exerting a robust affect [7–9]. Although phage–host interactions have been extensively studied in terrestrial ecosystems, the influence of microgravity on these interactions has but to be absolutely investigated. Studying phage–host interaction in microgravity could reveal new mechanisms with relevance each in house and on Earth.
Microgravity is the near-weightless situation in orbit and alters each the bodily transport processes and the physiological states that form phage predation and bacterial progress, creating an environmental area of interest distinct from any discovered terrestrially. At the bodily degree, phage particles usually diffuse randomly by means of liquid till they collide with a prone bacterial cell, at which level short-range forces comparable to van der Waals interactions and electrostatic attraction allow irreversible adsorption and subsequent injection of the phage genome [7,10]. Under regular gravity on Earth, this course of is enhanced by pure convection. Density- and temperature-dependent buoyancy drives fluid circulation and sedimentation regularly redistributes phages, vitamins, and metabolic byproducts, thereby growing the likelihood of phage–host encounters. In microgravity, nevertheless, supplies of differing densities fail to separate, convection currents pushed by gravity now not kind, and nutrient molecules in addition to motile micro organism expertise restricted diffusion and disrupted motility [11–16].
The absence of gravity additionally profoundly reshapes bacterial physiology, imposing stresses that reverberate by means of gene regulation and metabolism [16–19]. Numerous research have proven that microgravity situations enhance biofilm formation and elevate metabolic charges [20–22], whereas the decreased mixing of the encircling medium limits the removing of metabolic waste and the replenishment of important vitamins, thereby inducing the overexpression of starvation-associated genes, altering membrane transport processes, and driving international changes in mobile homeostasis [23,24]. Bacteria confronted with these situations could adapt by altering their proteome, together with modifying outer-membrane elements that act as phage receptors, which may straight affect susceptibility to an infection and the effectivity of phage adsorption [15,19,25]. Taken collectively, these bodily and physiological perturbations underscore that microgravity constitutes a definite and multifaceted setting able to considerably modifying phage–host dynamics, with penalties which are more likely to inform our understanding of microbial neighborhood habits not solely in extraterrestrial habitats but additionally in engineered and excessive terrestrial ecosystems.
In this examine, we investigated how microgravity impacts interactions between T7 bacteriophage and non-motile Escherichia coli BL21 aboard the International Space Station (ISS). Our analysis of short-term (hours) and long-term (23 days) incubation of phage and host in microgravity confirmed important variations in phage and bacterial viabilities and phage exercise in comparison with terrestrial controls. Phages collected many de novo mutations over time which will improve receptor binding or phage infectivity, whereas micro organism acquired de novo mutations in genes which will improve health in microgravity and counter phage predation. Deep mutational scanning (DMS) of the phage receptor binding protein (RBP) in microgravity revealed a health panorama considerably totally different from our terrestrial experiments, suggesting substantial variations within the host receptor profile and choice stress beneath microgravity. Notably, a combinatorial library of RBP variants enriched in microgravity exhibited a major enchancment in exercise in opposition to terrestrial uropathogenic E. coli, whereas an identical library derived beneath terrestrial situations confirmed no enchancment, highlighting microgravity as a supply of insights into phage–host dynamics with relevance to Earth. Overall, our findings assist lay a basis for future analysis into the influence of phage–host interactions on microbial communities in microgravity and within the context of house exploration.
Results
Design of experiments for the International Space Station
We ready two equivalent units of 32 sealed cryovial tubes containing experimental samples: one designated for incubation in microgravity, and the opposite designated for terrestrial incubation (Fig 1). Each set was divided into 4 prepackaged teams of eight tubes for incubation at 37 °C. Three teams have been incubated for short-term time factors (1, 2, and 4 hours), and one group for a long-term time level (23 days).
Fig 1. Experimental design to evaluate microgravity interactions on the ISS.
Samples were prepared on Earth, with quality checks to ensure cryovial integrity and prevent leakage during freeze–thaw cycles. Identical sets were frozen, then thawed and incubated either in microgravity on the ISS (left) or terrestrially (right) for defined intervals. All samples were re-frozen and later analyzed on Earth for phage and bacterial titers, whole-genome sequencing, and deep mutational scanning of the T7 receptor binding protein tip domain.
Each short-term group included three replicates of T7 and E. coli BL21 blended at a phage to host ratio (multiplicities of an infection or MOIs) of 10−6 and 10−4 and two samples with both T7 phage solely or E. coli solely. All bacterial samples contained 4 mL of log-phase (OD600 ~0.4) E. coli with an estimated titer of ~1–2 × 108 CFU/mL. The preliminary bacterial focus and MOI have been chosen to permit for measurable modifications in phage titer after incubation between timepoints, accounting for anticipated cell and phage viability loss because of freeze–thawing as a part of delivering samples to the ISS and returning them terrestrially. No cryoprotectant was added to any cultures. To isolate the results of microgravity, we used a non-motile E. coli pressure, eradicating the variable of host motility enhancing fluid mixing. The 23-day group included three replicates of T7 phage and E. coli blended at an MOI of 10−4, three replicates of T7 DMS library blended with E. coli at an MOI of 10−2, and two samples of both T7 solely and E. coli solely. The larger MOI for the DMS group compensated for the decrease abundance of particular person variants. The DMS library contains 1,660 T7 variants, every with a single amino acid substitution within the tip area of the RBP that has been beforehand examined beneath terrestrial situations [26]. RBPs are central to phage biology, as they dictate host recognition, adsorption, and finally host vary [27–32]. Their capacity to work together with numerous bacterial floor molecules and to evolve quickly by means of genetic variation makes them key determinants of phage adaptability and therapeutic potential. Given this central position, RBPs are a very compelling goal for DMS to decode the sequence–perform guidelines underlying host specificity and an infection effectivity.
The cryovial containers handed biocompatibility, leak testing, and experimental validation (see S1 Data) to make sure pattern integrity and adjust to NASA security requirements. All samples have been ready on Earth by mixing phage and micro organism in Rhodium cryovials and instantly freezing them at −80 °C. Frozen samples have been shipped to NASA’s Wallops Flight Facility 24 days earlier than launch and transported to the ISS aboard the Northrop Grumman NG-13 Cygnus rocket. Samples have been incubated at 37 °C in microgravity in the course of the related time level, then refrozen at −80 °C, transported again to Earth, and delivered to our laboratory. We then thawed the samples, measured phage and bacterial titers, sequenced their genomes, and analyzed the DMS library (Fig 1). We recorded the length of freezing and incubation aboard the ISS and evaluated the second set of samples terrestrially utilizing the identical incubation and freezing instances. Terrestrial Incubation was carried out with out shaking. An asynchronous floor management is commonplace follow for house biology flight experiments as a result of microgravity and terrestrial samples can’t be incubated in parallel precisely as precise time factors on the ISS are adjusted to accommodate astronaut scheduling and actual time monitoring of samples will not be doable.
Bacteriophage T7 exercise is decreased in microgravity
Under regular terrestrial situations with shaking at 37 °C, the T7 phage infects and lyses E. coli BL21 inside 20–30 min and produces 100–200 progeny phages [33,34]. We hypothesized that in microgravity, decreased fluid mixing would gradual the an infection cycle by limiting productive encounters between phages and micro organism. Additionally, microgravity-induced stress would possibly disrupt host homeostasis, alter receptor expression, or intrude with intracellular processes, impeding profitable phage replication. To check this speculation, we measured phage and bacterial titers after 1-, 2-, and 4-hours, in addition to after 23 days of incubation. Because the extent of phage replication delay in microgravity was unknown, this strategy allowed us to seize a broad vary of doable delays.
Phage and micro organism have been co-cultured at pre-freeze MOIs of 10−6 and 10−4 for short-term incubation time factors (1-, 2-, and 4-hours) and 10−4 for long-term incubation (23-days). A major enhance in phage titer and reduce in bacterial host titer between incubation time factors would point out profitable phage exercise. We didn’t analyze variations in titer from the preliminary MOI beneath the idea pattern freezing would influence viability and as a substitute interpret outcomes between timepoints to find out if phage can efficiently replicate. Under terrestrial situations phage titers elevated considerably by 5–7 logs and bacterial titers decreased considerably by 4–5 logs after 4 hours, whatever the MOI (Fig 2A). Phage an infection thus occurred between two and 4 hours for the terrestrial samples, indicating the experimental situations delayed the an infection cycle by roughly two hours whereas permitting for profitable phage replication.
Fig 2. Bacteriophage T7 growth is inhibited by microgravity.
The titer of phage (green) and bacteria (orange) samples (log10 Plaque Forming Units or Colony Forming Units, PFU/CFU/mL) after (A) terrestrial incubation or (B) incubation in microgravity mixed at a pre-freeze MOI of 10−2 (left), 10−4 (middle), or incubated separately as phage-only or bacteria-only samples (right). Bars show mean ± SD; triplicate samples shown as points, with blue indicating values at the limit of detection. The significance between adjacent time points was assessed by two-sample t test (*p < 0.05, **p < 0.01, ***p < 0.001). The data underlying this Figure can be found in S1 Data.
Under microgravity situations, we noticed no enhance in phage titer at any short-term incubation time factors at both MOI, however a major 4-log enhance on the 23-day time level (Fig 2B). This outcome signifies microgravity didn’t stop productive an infection and lysis however delayed it to some level previous the four-hour time level. The persistence of micro organism on the 23-day time factors (roughly 107 CFU/mL for the terrestrial samples and 102 CFU/mL for microgravity samples) additionally suggests {that a} phage-resistant bacterial inhabitants emerged in each situations.
Bacterial titer with out phage remained steady at early time factors beneath terrestrial incubation however fell 6–7 logs on the 1- and 2-hour time factors in microgravity. One risk, although unproven, is that the absence of cryoprotectant contributed to decreased bacterial viability throughout freeze–thaw. We can not exclude an extra position for microgravity-related stress, however emphasize that additional experiments shall be wanted to disentangle these results. Phage with out micro organism noticed a 2-log lower in viable titer in early time factors in microgravity in comparison with terrestrial incubation, however in any other case appeared extra steady than micro organism, apart from the 23-day time level, the place we noticed a 4- and 7-log fold lower in phage titers terrestrially and in microgravity, respectively. Phages are recognized to lose stability and decay over time with no propagating host [35–37]. Although freeze–thaws complicate precisely figuring out a decay fee, this impact appeared extra pronounced in microgravity.
These experiments show that microgravity challenges each phage and bacterial viability. While phage infectivity is delayed in comparison with terrestrial situations, phages finally overcome this barrier and efficiently infect their hosts. Future research concentrating on intermediate time factors shall be crucial for outlining the exact latent interval beneath microgravity.
Enriched mutations are distributed broadly in T7 phage
Next, we sought to establish mutations within the phage or bacterial genome that influenced phage-host interactions beneath microgravity. We carried out whole-genome sequencing (WGS) of T7 and E. coli BL21 earlier than and after incubation, utilizing pre-incubation genomes as references to establish de novo mutations within the 23-day samples from every situation to make sure each phage and bacterial populations had ample time to propagate. To decide whether or not de novo non-synonymous substitutions or frameshifts in T7 have been considerably enriched, we in contrast the pooled frequencies of ample non-synonymous mutations to the distribution of synonymous de novo substitutions in every situation (Mann–Whitney U check, FDR-adjusted p < 0.05; Fig 3A). To assess whether or not particular genes had considerably extra non-synonymous substitutions than different genes, we calculated this mutation density for every gene and in contrast it to the common mutation density per situation (one-tailed t check, FDR-adjusted p < 0.05, one-sided 95% CI; Figs 3B and S1). Finally, we in contrast the gene-level distribution of non-synonymous mutations between microgravity and terrestrial situations (Mann–Whitney U check, FDR-adjusted p < 0.05) to establish genes with condition-specific enrichment of those mutations (Figs 3C and S2A).
Fig 3. Enriched mutations are distributed broadly in T7 phage.
(A) Substitution frequency and abundance of phage de novo synonymous (blue) and non-synonymous substitutions or frameshifts (yellow) after microgravity (left) or terrestrial (right) incubation. (B) Average gene mutation density ±SD for de novo synonymous (blue) and non-synonymous (yellow) substitutions after microgravity (top) and terrestrial (bottom) incubation. Green bars show the number of significant mutations per gene from (A). (C) Log10 abundance of mutations in selected phage genes after microgravity (left, dark green, Micro.) and terrestrial (right, light green, Terr.) incubation. Significance shown as * (adjusted p < 0.05, one-tailed t test with FDR). (D) Maximum substitution abundance in gp7.3 after microgravity (top, blue shading) or terrestrial (bottom, red shading) incubation. Wild-type (WT) sequence shown center with substitutions shaded matching bar color. Deletions shown as Δ; slashes (/) in WT sequence mark omitted unmutated regions. (E) Diagram of selected structural genes. Gp7.3 is excluded due to an uncertain structural role. (F) Maximum substitution abundance in gp11, displayed as in (D). The data underlying this Figure can be found in S1 Data.
Significantly enriched (p < 0.05) phage substitutions have been discovered throughout each structural and non-structural proteins beneath terrestrial and microgravity situations (Fig 3B). In microgravity, gene product (gp) 7.3 and gp11 exhibited considerably extra de novo non-synonymous substitutions than different genes (Figs 3B and S1A). Mutation density was total larger terrestrially and no gene confirmed important enrichment in comparison with others terrestrially (S1B Fig). Although gp7.3 will not be absolutely characterised, it’s thought of important for T7 infectivity in E. coli BL21 beneath terrestrial situations [38]. This small 99-amino-acid protein could perform as a scaffolding protein or contribute to host adsorption, although its position within the mature virion stays unsure [39–41]. gp7.3 harbored seven considerably enriched substitutions in microgravity, the best quantity noticed in any gene beneath that situation. These substitutions have been distributed all through the protein (Figs 3D and S3), with 4 notable modifications (E48K, E61K, D68Y, D68A) involving substantial shifts away from negatively charged residues. The solely considerably enriched mutation in gp7.3 terrestrially was a six-amino-acid deletion spanning G42 to V47. The area from G39 to Q50 contained a dense cluster of substitutions and in-frame deletions, together with a 3-amino-acid deletion (G39-T41) terrestrially and a deletion from M46 to Q55 in microgravity, all occurring in a area of the protein predicted to be unstructured (S3 Fig). The excessive variety of enriched substitutions and recurring in-frame deletions on this small protein recommend that gp7.3 is each structurally versatile and important for phage exercise in each environments.
gp11 is an adaptor protein inside the T7 tail that connects the portal protein gp8, the nozzle protein gp12, and the six subunits of the tail fiber protein gp17 (Fig 3E) [38,40,42]. Enriched substitutions have been distributed all through gp11, spanning each uncovered and buried residues (Figs 3F, S4A, and S4B). One considerably enriched substitution, R2C, arose independently twice in microgravity and is situated in a versatile area able to straight interacting with gp17 tail fibers (S4C and S4D Fig). These findings recommend that the substitutions could affect phage health by altering gp11’s construction or stability moderately than by means of direct interplay with the bacterial host.
Comparison of mutation abundance revealed that de novo non-synonymous substitutions have been considerably extra prevalent within the nozzle protein gp12 after incubation in microgravity than beneath terrestrial situations, suggesting a extra outstanding position for this protein in microgravity (Fig 3C). Of the six individually enriched non-synonymous substitutions recognized throughout each situations, 5 concerned modifications towards positively charged residues (Q184R, R205H, Q242R, K404R, and W707R). These substitutions have been distributed all through the protein, with three extra seemingly contributing to host interactions (S5 Fig). Specifically, R205 is surface-exposed and positioned close to the host, Q242 lies near the terminus of the DNA supply channel, and Q184 faces straight towards the host. The cost shifts and spatial distribution of those substitutions spotlight the purposeful significance of gp12 in enhancing phage health beneath each terrestrial and microgravity situations.
Several different considerably enriched substitutions have been significantly notable. In microgravity, the V26I substitution in gp0.5 was the one mutation to brush your entire phage inhabitants—and did so independently in two replicates—indicating a robust health benefit. gp0.5 is an uncharacterized class I gene, doubtlessly related to the host membrane as a result of presence of a putative transmembrane helix [22]. Under terrestrial situations, the T115A substitution in gp4.7 was considerably enriched and extremely ample throughout all three replicates. No mutations have been detected on this gene beneath microgravity, suggesting choice stress could also be distinctive to terrestrial situations. Although the perform of gp4.7 stays unknown, BLASTP evaluation recognized homologs with ~40% similarity to putative HNH endonucleases in Klebsiella and Pectobacterium phages [43].
Lastly, quite a few considerably enriched substitutions have been discovered within the tail fiber gp17, significantly beneath terrestrial situations (Fig 3B). In each environments, substitutions have been concentrated within the C-terminal tip area, with repeated mutations at D540 and neighboring residues. This area is a recognized determinant of host vary and infectivity in terrestrial E. coli strains [26], and these outcomes suggests continued significance throughout extended incubation in each gravity situations.
Enriched bacterial mutations mirror phage-mediated choice
De novo mutations in E. coli BL21 have been considerably extra ample in samples blended with phages than in these with out phages beneath each terrestrial and microgravity situations, indicating sturdy phage-driven selective stress in each environments (Figs 4A and S6A–S6C, Mann–Whitney U check p < 0.001, Kaplan–Meier survival and log-rank statistical check p < 0.001). Sequencing of the 4-hour pattern revealing no important deviation on this inhabitants in comparison with the pre-incubation pattern (Pearson’s R = 0.986, Jenson-Shannon divergence 0.0543, S6D and S6E Fig) and the 4-hour bacterial inhabitants was equally prone to T7 phage in comparison with the pre-incubation inhabitants (S6F Fig), indicating there was no bottlenecking impact throughout preliminary incubation that would trigger lowly ample mutations within the authentic inhabitants to seem de novo. Significantly enriched non-synonymous de novo bacterial substitutions and frameshifts have been current in each situations (Fig 4B, Mann–Whitney U check, FDR-adjusted p < 0.05, > 25% abundance), and pooling genes on Gene Ontology (GO) classes [44,45] revealed that almost all enriched genes have been related to membrane perform or the regulation of metabolic course of (Fig 4C).
Fig 4. Enriched bacterial mutations reflect phage-mediated selection.
(A) Boxplots of log10 abundance for de novo non-synonymous substitutions and frameshifts after microgravity (left) or terrestrial (right) incubation, comparing incubation with (light shading) and without (dark shading) phage. Significance assessed by Mann–Whitney U test (***p < 0.001), with “>” indicating the more abundant population. (B) Frequency for bacterial de novo synonymous (blue) and non-synonymous substitutions or frameshifts (yellow) after microgravity (top) or terrestrial (bottom) incubation. (C) Maximum abundance of E. coli BL21 non-synonymous substitutions or frameshifts (>5%) after incubation in microgravity with phage (light purple) or without phage (dark purple), and after terrestrial incubation with phage (light green) or without phage (dark green). Grouped by membrane-associated genes (top), metabolism-associated genes (bottom-left), or other genes (bottom-right). Mutations significantly enriched in (B) marked with stars. (D) Illustration of mlaA mutation effects. Deletions and insertions result in loss or repetition of phenylalanine and asparagine residues. The data underlying this Figure can be found in S1 Data.
Bacterial mutations considerably enriched (p < 0.05) solely beneath microgravity have been regularly related to the outer membrane and mobile stress response. Notable examples embody hldE (56.5%, R232C) related to the synthesis of the LPS core [46]; mrcB (51.6%, Q817 frameshift), which performs a job in cell wall synthesis and permeability [47,48]; and bipA (96.5%, H16 frameshift, also called typA) linked to LPS biosynthesis and temperature sensitivity, and beforehand related to truncated LPS phenotypes [35–37]. The important abundance of this mutation means that bipA would possibly play a job in phage sensitivity in microgravity. topA, a DNA topoisomerase related to stress response, was additionally considerably enriched in microgravity (96.1%, V73G) [49,50]. Additional mutations distinctive to microgravity included gltA (85%, I138 frameshift), a citrate synthase [51], and rpsF (27.7%, V18 frameshift), which encodes a 30S ribosomal protein [52]. Under terrestrial situations, bacterial mutations considerably enriched within the presence of phage included galU (100%, L59R), concerned in UDP glucose metabolism and related to O-polysaccharide in different strains [53,54]; lptA (100%, Q43H), accountable for LPS meeting [55]; and hns (66%, I70_L75 IS1 insertion), a worldwide DNA-binding protein accountable for regulating metabolism and nutrient acquisition [56].
Several genes had considerably enriched mutations beneath each terrestrial and microgravity situations. trxA is a processivity issue for T7 DNA polymerase and is a recognized important gene for phage exercise [32,57]. Deletions in trxA have been considerably enriched in each situations (terrestrial: 44.4%, K53_V56d deletion, microgravity: 100%, I76 frameshift), indicating the gene stays important to the phage in microgravity. The identical substitution in ydcL was considerably enriched in each situations (I105K, terrestrial 100%, microgravity 33.9%). ydcL encodes a transcriptional regulator that triggers small, slow-growing persistor cell states, which may benefit micro organism throughout extended incubation situations like these on this experiment [58,59].
Finally, intriguing indels have been considerably enriched in mlaA in each situations (Fig 4D). In every situation, two samples exhibited 6-bp deletions ensuing within the lack of amino acids F44 and N45 (microgravity abundance: 95.5% and 16.5%; terrestrial abundance: 61.5% and 24.9%). In distinction, the third microgravity pattern confirmed important enrichment of a 6-bp insertion that added Asp and Phe, after N45 (30.2%, F46_N47ins), successfully inserting and repeating the identical two amino acids deleted within the different samples.
mlaA encodes an outer membrane lipoprotein believed to take away mislocalized phospholipids from the outer membrane and shuttle them again to the interior membrane [60]. This gene has not but been related to modifications in phage exercise. A mutant with the identical F44_N45 deletion has been characterised in E. coli MC4100 [61,62]. This mutation will increase outer membrane permeability, phospholipid accumulation, and vesiculation—modifications that would have an effect on phage adsorption and doubtlessly confer a aggressive benefit. A previous examine discovered that this deletion ultimately led to bacterial cell loss of life [62], however our outcomes recommend this mutation could improve bacterial survival beneath phage stress. This discrepancy may additionally mirror variations in choice context, pressure background, or the presence of suppressor mutations. Supporting this risk, we additionally recognized a considerably enriched frameshift-inducing deletion in yhdP (56.9%, L610 frameshift) in a microgravity pattern that had probably the most ample mlaA deletion. yhdP is concerned in phospholipid transport to the outer membrane, and its loss has been proven to gradual transport and cut back cell loss of life in F44_N45 mlaA mutants [61], suggesting it might equally improve survivability in microgravity.
Deep mutational scanning profiles useful substitutions in microgravity
Bacteria usually resist phage predation by mutating or downregulating floor receptors important for phage adsorption [26,63–65]. Microgravity-induced stress could amplify this response, altering the bacterial proteome, together with phage receptor profiles [15,25,66]. Such modifications can drive adaptive mutations within the phage RBP. To examine these interactions, we examined how particular person substitutions within the tip area of the T7 RBP have an effect on phage viability in microgravity.
The T7 RBP consists of six quick non-contractile tails that kind a homotrimer composed of a inflexible shaft ending with a β-sandwich tip area [67]. This area is a key determinant of host recognition and interacts with host receptor LPS to place the phage for profitable, irreversible binding [27–32,68]. We performed complete single-site saturation mutagenesis of the RBP tip area, producing a library of 1,660 variants spanning residues 472–554 (based mostly on PDB 4A0T). We then sequenced and in contrast mutational enrichment profiles following the 23-day choice beneath terrestrial and microgravity situations.
We recovered phage DNA from every pattern and scored every variant based mostly on its relative abundance earlier than and after choice (purposeful rating, F) normalized to wildtype (normalized purposeful rating, FN). Scores have been averaged throughout replicates, and solely variants current in at the least two replicates have been retained for evaluation. Although important dropout of low-performing variants was anticipated as a result of prolonged incubation, we efficiently decided scores for 51.2% (880) of variants in microgravity and 39% (648) in terrestrial situations (Figs 5A, 5B, and S7A). Variant scores correlated nicely throughout replicates regardless of variations in phage titer and mirrored a number of rounds of replication over the 23-day incubation interval, suggesting that lower-titer samples underwent choice however subsequently misplaced viability (S7B–S7D Fig). On common phage variants have been considerably extra enriched after terrestrial incubation in comparison with microgravity (two-sample t check, Mann–Whitney U, p < 0.001) (S8A Fig). The wild-type phage was considerably depleted terrestrially in comparison with microgravity (terrestrial F = 0.58, microgravity F = 3.5, p < 0.01).
Fig 5. Deep mutational scanning reveals beneficial substitutions in microgravity.
(A, B) Heatmaps of normalized functional scores (FN log2) for all RBP substitutions after microgravity (A) and terrestrial (B) incubation. Scores shown on a blue to red gradient; Wildtype (WT, FN log2 = 0) in white with a black dot; variants below the limit of detection (LOD) in gray. Line length represents standard deviation. Substitutions ordered top to bottom; residue positions (PDB 4A0T) shown left to right. (C, D) Efficiency of plating (EOP, left side) and violin plots of plaque area (right side) for (C) E. coli UTI1 and (D) E. coli UTI2 comparing wild type (WT, gray) and selected variant from the microgravity pool for that strain (right, purple). EOP Data shown as mean ± SD from three biological replicates, normalized to E. coli BL21. Significance vs. WT shown as *** (p < 0.001). The data underlying this Figure can be found in S1 Data.
While variants that carried out worse than wildtype (FN < 0) tended to carry out equally between microgravity and terrestrial situations (S8B Fig), enriched variants (FN > 0) have been extremely divergent with no correlation between situations (S8C Fig). Variants enriched in microgravity regularly contained methionine and isoleucine substitutions at inside positions going through the phage (Figs 5A and S8D), in distinction to our earlier terrestrial outcomes on this host [26]. Substitutions in these areas may affect the tip area construction to facilitate adsorption with the host receptor in microgravity.
Under terrestrial situations, top-scoring variants included positively charged substitutions going through the host, in step with our earlier findings on E. coli BL21 [26]. Additional enriched variants featured negatively charged substitutions (e.g., Q488E, G521D) and glycine substitutions (e.g., G480W, G522P) which will induce structural modifications within the tip area (Figs 5B and S8B). These variants have been enriched solely after extended incubation with E. coli BL21, suggesting that such substitutions could contribute to long-term infectivity on stationary-phase hosts—an impact not noticed in shorter, nutrient-rich situations.
Because variants enriched in microgravity have been extremely distinct from these recognized beneath terrestrial situations—each on this examine and in our earlier work—we subsequent evaluated whether or not these substitutions may improve phage exercise terrestrially. If profitable, these substitution patterns might be used to enhance phage efficiency with out exhaustively sampling the total combinatorial house of the gene. We constructed two combinatorial libraries, every comprising all doable combos of 13 top-performing substitutions recognized in microgravity (L490I, N502E, F506M, F506Y, F507V, F507Y, P511M, I514M, N531Q, L533K, L533M, A539M, N546I) or beneath terrestrial situations (G521H, Q488A, Q488E, G521K, G522P, A547S, G521D, G521E, N502S, I495L, R542H, L533T, F506S). This technique decreased a possible search house of over 10²¹ variants to fewer than 5,000 per library. Variants have been synthesized in an oligo pool, assembled into an unbiased phage library utilizing ORACLE, and passaged terrestrially on two clinically remoted E. coli strains (UTI1 and UTI2) which are immune to wild-type T7 and are related to urinary tract infections [69].
We evaluated these swimming pools in effectivity of plating (EOP) experiments and in contrast their plaquing functionality versus wildtype. The combinatorial pool from microgravity confirmed important enchancment in plaquing effectivity in comparison with wildtype and had considerably bigger plaques, indicating the pool contained variants able to considerably bettering exercise on these hosts (S9A and S9B Fig). The terrestrial library carried out considerably worse or no higher than wildtype. To affirm these outcomes, we remoted particular person plaques from the microgravity pool. From UTI1, we recovered a five-substitution variant (L490I, N502E, F507V, L533K, A539M; Variant 1), and from UTI2, a six-substitution variant (L490I, N502E, P511M, L533M, A539M, N546I; Variant 2). These variants demonstrated considerably larger EOP and produced considerably bigger plaques on each UTI strains (Fig 5C and 5D). These findings assist our speculation that microgravity-enriched substitutions can enhance phage efficiency on terrestrial hosts. The prolonged incubation in microgravity revealed new mutational hotspots, enabling environment friendly navigation of sequence house to establish advanced variant combos with enhanced infectivity.
Discussion
Phage–micro organism interactions play a crucial position in shaping microbial ecosystems, however stay poorly understood in microgravity. In house, altered collision dynamics and bacterial physiological modifications disrupt typical phage-host interaction. Characterizing these interactions offers perception into microbial adaptation in house and divulges novel genes and mechanisms with potential functions on Earth.
We discovered that phage replication in microgravity was considerably delayed -occurring someday after the 4-hour time level -but finally profitable by 23 days, indicating a markedly slower but productive replication cycle. Phage stability additionally appeared extra affected in microgravity than terrestrially, though this outcome would have to be confirmed with additional experiments with extra complete timepoints. Numerous considerably enriched de novo mutations have been recognized in each phage and bacterial genes beneath microgravity and terrestrial situations, suggesting sturdy selective pressures in each environments. In microgravity, structural genes gp7.3, gp11, and gp12 emerged as significantly essential, whereas enrichment of mutations within the non-structural gene gp0.5 suggests its putative affiliation with the host membrane could contribute extra to phage health than beforehand acknowledged [43]. The total distribution of mutations highlights genomic areas that warrant additional investigation in future research.
De novo mutations noticed within the bacterial host have been predominantly present in genes concerned in outer membrane construction, stress response, and nutrient administration. These findings are in step with earlier research displaying upregulation of comparable gene courses in carefully associated E. coli strains beneath microgravity situations. Such genes play key roles in managing environmental stress, regulating nutrient availability, and facilitating transmembrane transport on this distinctive setting [21,23,70–72]. The excessive frequency of mutations in these genes suggests they might cut back phage infectivity, providing micro organism an extra selective benefit. Bacteria had decrease titer in 23-day samples in microgravity in comparison with terrestrial incubation, indicating mutations in these situations could have an effect on bacterial progress.
Results from the T7 RBP tip area DMS library revealed considerably totally different choice patterns in microgravity in comparison with terrestrial incubation, each on this examine and in our earlier work [26]. Microgravity-enriched developments enabled environment friendly navigation of sequence house, resulting in multi-substitution variants with considerably enhanced exercise in opposition to uropathogenic E. coli beneath terrestrial situations. Notably, combinatorial variants derived from terrestrial-enriched mutations didn’t outperform wild-type, suggesting that the distinctive selective pressures of microgravity uncovered beforehand unrecognized purposeful areas with terrestrial relevance.
This examine targeted on a single non-motile pressure of E. coli. Motile parts may doubtlessly improve fluid mixing, and future research incorporating a broader vary of bacterial strains would assist make clear this impact. Additionally, the experimental design included a number of freeze–thaw cycles and a delay in processing, which decreased phage and bacterial viability. While a few of these limitations are inherent to space-based analysis, minimizing freeze–thaw occasions and processing delays or assessing titers and sequencing straight on the ISS in future experiments may enhance pattern integrity and knowledge high quality.
Our examine presents a preliminary take a look at how microgravity influences phage–host interactions. Exploring phage exercise in non-terrestrial environments reveals novel genetic determinants of health and opens new avenues for engineering phages for terrestrial use. The success of this strategy helps lays the groundwork for future phage analysis aboard the ISS.
Methods
Phage and bacterial strains
T7 bacteriophage was obtained from ATCC (ATCC BAA-1025-B2). The T7 DMS library used on this examine was the identical library inventory generated in our earlier work [26]. T7 acceptor phages used for ORACLE-based development of the combinatorial libraries have been additionally created as beforehand described [26]. Escherichia coli BL21 was sourced from laboratory shares. Uropathogenic E. coli strains UTI1 and UTI2 have been supplied by Dr. R. Welch (University of Wisconsin, Madison) and originate from a urinary tract an infection isolate assortment [69].
T7 phage was initially propagated on E. coli BL21 following receipt from ATCC and subsequently on acceptable hosts as described in particular experimental sections. All phage experiments have been carried out utilizing Luria-Bertani (LB) media and the identical tradition situations used for bacterial hosts. Phages have been saved in LB at 4 °C for short-term use. For long-term storage, microbial samples have been frozen at −80 °C in 100% LB media.
Media and tradition situations
All bacterial strains have been cultured in LB media consisting of 1% tryptone, 0.5% yeast extract, and 1% NaCl in deionized water. LB plates have been supplemented with 1.5% agar, whereas prime agar used for phage plating contained 0.5% agar. LB media was used for all experiments, together with bacterial restoration and phage propagation. All incubations have been carried out at 37 °C with out shaking, in both terrestrial or microgravity environments as acceptable. These samples have been incubated straight in cryovials and never transported to a different container for incubation.
Sample preparation and dealing with
Phage and bacterial inventory titer have been confirmed and samples have been ready by mixing 4 mL of E. coli BL21 in exponential section (~1 × 108 CFU/mL) with the suitable quantity of T7 phages in Rhodium Cryotubes. Samples have been instantly frozen at −80 °C and shipped to NASA as described.
Asynchronous microgravity and terrestrial experiments are the norm for ISS experiments as a result of uncertainty of scheduling. The preliminary deliberate time factors for incubation have been 1, 2, and three hours, and 25 days; nevertheless, precise time factors have been adjusted on the ISS to accommodate astronaut scheduling. Final incubation time factors have been 1, 2, and 4 hours, and 23 days. The length of incubation aboard the ISS was recorded exactly, and terrestrial management samples have been incubated for matching durations, based mostly on the precise timepoints moderately than the proposed schedule. This strategy was vital as a result of real-time monitoring of the samples was not doable, so microgravity and terrestrial samples couldn’t be incubated in parallel precisely. Terrestrial samples are thus frozen for an extended length than microgravity samples. After incubation samples have been refrozen, shipped to our laboratory, after which thawed at 37 °C and instantly cut up for genomic DNA extraction, PCR for DMS, and titering of each phage and micro organism.
Titering phage
For samples returned for processing, 1 mL of every pattern was centrifuged at 16g for 1 min, and the supernatant was filtered by means of a 0.22 μm filter. To decide phage titer, titer was first estimated by spot plates after which confirmed by entire plate EOP assays. Samples have been serially diluted (1:10 or 1:100) in LB to a ultimate dilution of as much as 10−8 in 1.5 mL microcentrifuge tubes. Spot assays have been carried out by mixing 250 μL of stationary-phase bacterial host with 3.5 mL of 0.5% prime agar. The combination was briefly vortexed and plated onto LB agar plates pre-warmed to 37 °C. Once the highest agar solidified (~5 min), 1.5 μL of every phage dilution was noticed onto the plate in collection. Plates have been incubated at 37 °C and checked after 20–30 hours to estimate titer. Titers have been then confirmed by way of full-plate plaque assays.
For whole-plate EOP assays, 400 μL of exponentially rising bacterial tradition was blended with 5–50 μL of diluted phage, aiming to realize ~50 plaque-forming items (PFUs) per plate after in a single day incubation. For phage susceptibility on the pre-incubation and 4-hour samples, micro organism was incubated after being straight sampled from the frozen inventory for that pattern. The phage–host combination was briefly vortexed and centrifuged, then mixed with 3.5 mL of 0.5% prime agar. After a quick vortex, the combination was instantly poured onto LB plates pre-warmed to 37 °C. Plates have been allowed to solidify (~5 min), inverted, and incubated in a single day. PFUs have been counted after 20–30 hours, and ultimate phage titers have been calculated from these counts.
Titering micro organism
Bacterial concentrations have been decided by way of serial dilution (1:10 or 1:100 in LB) and plating. From every dilution, 100 μL was plated and unfold utilizing sterile beads to focus on ~50 colony-forming items (CFUs) per plate. Plates have been incubated in a single day at 37 °C and counted the next day. For E. coli BL21, three impartial dilution collection have been carried out to correlate OD600 values with CFU/mL and guarantee correct bacterial concentrations throughout phage mixing for experimental pattern preparation.
PCR and sequencing
All PCR reactions have been carried out utilizing KAPA HiFi DNA Polymerase (Roche KK2101). The combinatorial library was generated utilizing the ORACLE methodology, as beforehand described [26]. Cloning procedures adopted producer directions except in any other case specified.
For WGS, phage genomes have been extracted utilizing the Norgen Biotek Phage DNA Isolation Kit (Cat. 46800), and bacterial genomic DNA was extracted utilizing the Norgen Biotek Bacterial Genomic DNA Isolation Kit (Cat. 17900). Genomic DNA libraries have been ready utilizing the Illumina DNA Prep package (Cat. 20060060) and sequenced on an Illumina NextSeq 1000 platform.
PCR reactions for amplification of the DMS and combinatorial libraries used 1 μL of undiluted phage lysate straight as template (DNA isolation will not be required), with an prolonged denaturation step of 5 min at 95 °C. For low phage titers in DMS samples, PCR and next-generation sequencing failed utilizing this strategy, presumably due to decreased template in these samples. To overcome this, we concentrated all the remaining quantity of every pattern (~2 mL) roughly 100-fold utilizing Pierce Protein Concentrators PES, 10K MWCO (Cat. 88513) and used 3 μL of the concentrated pattern per PCR response to enabling profitable amplification and evaluation. For plaque evaluation on UTI strains, small plaque samples have been picked straight and used as PCR template. Detailed cloning protocols can be found upon request.
General knowledge evaluation
Multiplicity of an infection (MOI) was calculated by dividing the phage titer by the corresponding bacterial focus. Initial MOI is calculated based mostly on the micro organism and phage titer earlier than being frozen for transit to the ISS. The MOI for the T7 DMS library was estimated utilizing a helper plasmid, as described beforehand [26].
EOP values have been calculated utilizing E. coli BL21 as a reference host. EOP was outlined because the phage titer on the check host divided by the titer on the reference host, adopted by log₁₀ transformation. Values are reported as imply ± commonplace deviation (SD).
Deep sequencing was carried out to guage phage populations as described beforehand [26]. Phage sequencing achieved a mean depth of ~49,000× per base throughout the genome, enabling detection of low-abundance mutations. Bacterial sequencing depth averaged ~250× per base in phage-mixed samples and ~1,300× in phage-free samples, limiting mutation evaluation within the former to extra ample variants.
WGS mutations have been recognized utilizing Breseq [73]. For Fig 3, genes have been grouped based mostly on GO classifications [44,45]:
- Membrane-associated genes: GO:0016020 (Membrane), GO:0009103 (LPS biosynthesis), GO:0030288 (Outer membrane sure periplasmic house), GO:0042597 (Periplasmic house).
- Metabolism-associated genes: GO:0008152 (Metabolic course of), GO:0019222 (Regulation of metabolic course of).
Statistical evaluation
To consider whether or not non-synonymous de novo substitutions and frameshift mutations have been considerably enriched in comparison with synonymous substitutions, we in contrast the frequency of every non-synonymous substitutions and frameshift (phage: >1% abundance; micro organism: >25% abundance) to the distribution of synonymous mutations utilizing a one-sided Mann–Whitney U check with Benjamini–Hochberg false discovery fee (FDR) correction (scipy.stats.mannwhitneyu, statsmodels.stats.multitest.multipletests, methodology = ‘fdr_bh’,scipy V1.10.1, statsmodel v 0.14.0) [74]. Adjusted p-values < 0.05 have been thought of important. This strategy assumes that after 23 days of choice the distribution of synonymous substitutions approximates both a impartial baseline or displays minimal selective stress, with the profit that if there may be constructive choice for synonymous substitutions there can be no enhance in false positives utilizing this methodology.
To decide whether or not non-synonymous de novo substitutions and frameshift mutations have been extra ample in bacterial samples uncovered to phage, we utilized the Mann–Whitney U check (scipy.stats.mannwhitneyu, scipy V1.10.1) to check mutation frequencies throughout teams [74,75]. Due to excessive detection limits in phage-mixed samples, we additionally carried out left-censored knowledge evaluation utilizing Kaplan–Meier survival curves (lifelines.KaplanMeierFitter, lifelines V0.27.8) and utilized a log-rank check (lifelines.statistics.log-rank_test, lifelines V0.27.8) to evaluate important variations in mutation distributions between teams [76–78].
To assess if the 4-hour bacterial inhabitants of mutations was considerably totally different from the pre-incubation situation, we carried out Jenson–Shannon divergence (scipy.spatial.distance, jensenshannon, V1.10.1) and correlated outcomes utilizing Pearson R (scipy.stats, pearsonr, v1.10.1). To decide if the titer of wild-type T7 phage was considerably totally different between the pre-incubation and 4-hour bacterial inhabitants, we used a Welch’s t check (scipy.stats, ttest_ind_from_stats, v1.10.1).
Mutation density in phage genes was calculated by dividing the variety of non-synonymous de novo substitutions and frameshift mutations by the size (in amino acids) of every protein product. To assess whether or not any gene had considerably larger mutation density, we in contrast particular person gene densities to the condition-specific common utilizing a one-tailed t check with Benjamini-Hochberg FDR correction (scipy.stats.ttest_1samp, statsmodels.stats.multitest.multipletests, methodology = ‘fdr_bh’, different = ‘greater’, scipy V1.10.1, statsmodel v 0.14.0). Additionally, one-tailed 95% confidence intervals have been calculated utilizing scipy.stats.t.ppf (scipy V1.10.1) and visualized in volcano plots in python [74].
Structural visualization
Structural mannequin pictures have been generated utilizing the PyMOL Molecular Graphics System, Version 3.0 (Schrödinger, LLC). Gp7.3 construction was predicted utilizing AlphaFold2 and ColabFold with MMseqs2, utilizing the anticipated construction with the best confidence [79–81]. Electron Microscopy pictures have been based mostly on PDB 7BOX (gp11) and PDB 7BOY (gp12) [41]. A composite construction of the T7 portal–tail advanced is proven from PDB 9JYZ [82]. Numbering for DMS and combinatorial library positions are based mostly on PDB 4A0T [67].
Supporting data
S1 Fig. Mutation density confidence intervals and t-statistics.
One-tailed 95% confidence intervals for mutation density (non-synonymous substitutions and frameshift count divided by protein length) for each phage gene after incubation in (A) microgravity and (B) after terrestrial incubation. Right panels show t-statistics and corresponding p-values from one-tailed t-tests with FDR correction. Genes with adjusted p-values <0.05 were considered significant. The data underlying this Figure can be found in S1 Data.
https://doi.org/10.1371/journal.pbio.3003568.s002
(TIFF)
S2 Fig. Phage gene mutation abundance.
Comparison of log10 abundance of de novo non-synonymous substitutions and frameshifts for phage genes not shown in Fig 2 after incubation in microgravity (left, darkish inexperienced, Micro.) and terrestrially (proper, mild inexperienced, Terr.). No important variations have been detected, or knowledge have been too sparse to evaluate significance. Genes with mutations in just one situation present solely that situation. The knowledge underlying this Figure could be present in S1 Data.
https://doi.org/10.1371/journal.pbio.3003568.s003
(TIFF)
S3 Fig. gp7.3 predicted structure.
Predicted structure of gp7.3 using Alphafold2. Positions with significantly enriched substitutions in microgravity are shown in blue. The unstructured region from G39 to Q55 related to in-frame deletions is shown in red.
https://doi.org/10.1371/journal.pbio.3003568.s004
(TIFF)
S4 Fig. gp11 complex enriched mutations.
(A) Electron microscopy structure of the gp11 complex (PDB 7BOX) showing all 12 subunits. Mutations significantly enriched in microgravity are shown in blue; those enriched terrestrially in red. (B) Enlarged view of gp11 with one subunit labeled, highlighting enriched mutations using the color scheme from (A). (C) Electron microscopy structure of the T7 portal-tail complex (PDB 9JYZ). gp12 (portal protein) is shown in orange, gp11 in green, gp17 attachment in blue, and gp8 (extending toward core proteins) in yellow. (D) Close-up of the interaction between R2 in gp11 (green) and R55 in gp17 (blue), with yellow dashed lines indicating contacts within 3.5 Å. R2 resides in an unstructured, flexible region that may interact with multiple gp17 residues.
https://doi.org/10.1371/journal.pbio.3003568.s005
(TIFF)
S5 Fig. gp12 complex enriched mutations.
(A) Electron microscopy structure of the gp12 complex (PDB 7BOY) showing all six subunits. Mutations significantly enriched in microgravity are shown in blue; those significantly enriched terrestrially in red. Positions are labeled on one representative subunit.
https://doi.org/10.1371/journal.pbio.3003568.s006
(TIFF)
S6 Fig. Bacterial gene mutation survival curves, abundance, ranked allele frequency, and phage titer pre- and post-incubation.
(A, B) Kaplan–Meier survival curves for bacterial non-synonymous substitutions and frameshift mutations after incubation (A) terrestrially or (B) in microgravity, with phage (light purple/light green) or without phage (dark purple/dark green). Shaded regions represent 95% confidence intervals. Survival probability reflects the proportion of mutations with abundance above the averaged limit of detection for each condition (log₁₀ −1 with phage, log₁₀ −2.5 without). P-values were calculated using log-rank tests. (C) Boxplots of log₁₀ abundance for non-synonymous substitutions and frameshift mutations after microgravity (left) or terrestrial (right) incubation, comparing conditions with (light shading) and without (dark shading) phage. Significance was assessed using a Mann–Whitney U test (*p < 0.05, **p < 0.01, ***p < 0.001), with “>” indicating the more abundant group. (D) Correlation of abundance mutations noted in preincubation condition (X axis) and from the 4-hour microgravity condition (4 hour, Y axis) with Pearson correlation shown. All mutations seen are distinct from de novo mutations described. (E) Ranked allele frequency spectra (Jenson–Shannon divergence = 0.0543 bits) showing frequency of mutations across each population in decreasing rank. (F) Phage titer of wild-type T7 grown on BL21 from pre-incubation bacterial sample and the 4-hour bacterial sample. There is no significant difference between these titers (p = 0.43). The data underlying this Figure can be found in S1 Data.
https://doi.org/10.1371/journal.pbio.3003568.s007
(TIFF)
S7 Fig. Phage DMS replicate violin plots, titer and correlation.
(A) Violin plots of DMS variant’s FN (log2) scores across biological replicates (R1-3) in microgravity (left) and terrestrial (right) conditions. (B) Phage titer (log10 PFU) for DMS replicates 1, 2, and 3 (R1, R2, and R3) after microgravity (left, purple) and terrestrial (right, green) incubation, shown as mean ± SD. (C, D) Correlation plot of DMS variants FN (log2) score between replicates (R1-3) in (C) microgravity and (D) terrestrial conditions. Pearson’s r is displayed on the bottom right of each plot. The data underlying this Figure can be found in S1 Data.
https://doi.org/10.1371/journal.pbio.3003568.s008
(TIFF)
S8 Fig. Terrestrial and microgravity phage DMS comparison and gp17 structure with enriched mutations.
(A) Violin plots of average FN (log2) for DMS variants in microgravity (left, purple) and terrestrial (right, green) conditions. Significance indicated as *** (p < 0.001). (B) Correlation plot of FN (log₂) scores for all DMS variants between microgravity and terrestrial conditions. Pearson’s r displayed in the bottom right. (C) Correlation of enriched (FN (log2) > 0) variants between conditions. Pearson’s r shown bottom left. (D) Crystal structure and secondary structure topology of the RBP tip domain (PDB: 4A0T), with substitutions enriched in microgravity (purple) or terrestrial (green) conditions highlighted. Two views are shown for clarity with a 145° rotation. The data underlying this Figure can be found in S1 Data.
https://doi.org/10.1371/journal.pbio.3003568.s009
(TIFF)
S9 Fig. Efficiency of plating (EOP) results comparing wild type, terrestrial, and microgravity combinatorial pools on Escherichia coli UTI strains.
(A, B) EOP results on (A) E. coli UTI1 and (B) E. coli UTI2 comparing wild type (WT, left, gray), terrestrial combinatorial pool (middle, green), and microgravity combinatorial pool (right, purple). Data shown as mean ± SD from three biological replicates, normalized to E. coli BL21. Significance versus WT shown as * (p < 0.05), *** (p < 0.001), or n.s. (not significant). The data underlying this Figure can be found in S1 Data.
https://doi.org/10.1371/journal.pbio.3003568.s010
(TIFF)
This web page was created programmatically, to learn the article in its authentic location you may go to the hyperlink bellow:
https://journals.plos.org/plosbiology/article%3Fid%3D10.1371/journal.pbio.3003568
and if you wish to take away this text from our web site please contact us

