Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 66

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Allelic polymorphism shapes community function in evolving Pseudomonas aeruginosa populations

Azimi, Sheyda, Roberts, Aled E L, Peng, Shengyun, Weitz, Joshua S, McNally, Alan, Brown, Samuel P, Diggle, Stephen P·2020·The ISME Journal
DOI 10.1038/s41396-020-0652-0

Published version of a preprint

Open this paper in CoChat — free account

Abstract

Pseudomonas aeruginosa is an opportunistic pathogen that chronically infects the lungs of individuals with cystic fibrosis (CF) by forming antibiotic-resistant biofilms. Emergence of phenotypically diverse isolates within CF P. aeruginosa populations has previously been reported; however, the impact of heterogeneity on social behaviors and community function is poorly understood. Here we describe how this heterogeneity impacts on behavioral traits by evolving the strain PAO1 in biofilms grown in a synthetic sputum medium for 50 days. We measured social trait production and antibiotic tolerance, and used a metagenomic approach to analyze and assess genomic changes over the duration of the evolution experiment. We found that (i) evolutionary trajectories were reproducible in independently evolving populations; (ii) over 60% of genomic diversity occurred within the first 10 days of selection. We then focused on quorum sensing (QS), a well-studied P. aeruginosa trait that is commonly mutated in strains isolated from CF lungs. We found that at the population level, (i) evolution in sputum medium selected for decreased the production of QS and QS-dependent traits; (ii) there was a significant correlation between lasR mutant frequency, the loss of protease, and the 3O-C12-HSL signal, and an increase in resistance to clinically relevant β-lactam antibiotics, despite no previous antibiotic exposure. Overall, our findings provide insights into the effect of allelic polymorphism on community functions in diverse P. aeruginosa populations. Further, we demonstrate that P. aeruginosa population and evolutionary dynamics can impact on traits important for virulence and can lead to increased tolerance to β-lactam antibiotics.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41396-020-0652-0

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 89

  1. Adler, 2016, The dynamics of disease progression in cystic fibrosis, PLoS ONE., 11, e0156752, 10.1371/journal.pone.0156752 · doi:10.1371/journal.pone.0156752
  2. Cantin, 2015, Inflammation in cystic fibrosis lung disease: pathogenesis and therapy, J Cyst Fibros, 14, 419, 10.1016/j.jcf.2015.03.003 · DOI · Paper page
  3. Jorth, 2019, Direct lung sampling indicates that established pathogens dominate early infections in children with cystic fibrosis, Cell Rep., 27, 1190, 10.1016/j.celrep.2019.03.086 · DOI
  4. Diggle, 2020, Microbe profile: Pseudomonas aeruginosa: opportunistic pathogen and lab rat, Microbiology, 166, 30, 10.1099/mic.0.000860 · DOI · Paper page
  5. Frederiksen, 1997, Antibiotic treatment of initial colonization with Pseudomonas aeruginosa postpones chronic infection and prevents deterioration of pulmonary function in cystic fibrosis, Pediatr Pulmonol., 23, 330, 10.1002/(SICI)1099-0496(199705)23:5<330::AID-PPUL4>3.0.CO;2-O · DOI · Paper page
  6. Burns, 2001, Longitudinal assessment of Pseudomonas aeruginosa in young children with cystic fibrosis, J Infect Dis, 183, 444, 10.1086/318075 · DOI · Paper page
  7. Bjarnsholt, 2009, Pseudomonas aeruginosa biofilms in the respiratory tract of cystic fibrosis patients, Pediatr Pulmonol., 44, 547, 10.1002/ppul.21011 · DOI · Paper page
  8. Hogardt, 2010, Adaptation of Pseudomonas aeruginosa during persistence in the cystic fibrosis lung, Int J Med Microbiol, 300, 557, 10.1016/j.ijmm.2010.08.008 · DOI · Paper page
  9. Doring, 2011, Differential adaptation of microbial pathogens to airways of patients with cystic fibrosis and chronic obstructive pulmonary disease, FEMS Microbiol Rev, 35, 124, 10.1111/j.1574-6976.2010.00237.x · DOI
  10. Filkins, 2015, Cystic fibrosis lung infections: polymicrobial, complex, and hard to treat, PLoS Pathog., 11, e1005258, 10.1371/journal.ppat.1005258 · DOI · Paper page
  11. Jelsbak, 2007, Molecular epidemiology and dynamics of Pseudomonas aeruginosa populations in lungs of cystic fibrosis patients, Infect Immun., 75, 2214, 10.1128/IAI.01282-06 · DOI · Paper page
  12. Wilder, 2009, Instantaneous within-patient diversity of Pseudomonas aeruginosa quorum-sensing populations from cystic fibrosis lung infections, Infect Immun., 77, 5631, 10.1128/IAI.00755-09 · DOI
  13. Folkesson, 2012, Adaptation of Pseudomonas aeruginosa to the cystic fibrosis airway: an evolutionary perspective, Nat Rev Microbiol, 10, 841, 10.1038/nrmicro2907 · DOI · Paper page
  14. Marvig, 2015, Convergent evolution and adaptation of Pseudomonas aeruginosa within patients with cystic fibrosis, Nat Genet., 47, 57, 10.1038/ng.3148 · DOI · Paper page
  15. Darch, 2015, Recombination is a key driver of genomic and phenotypic diversity in a Pseudomonas aeruginosa population during cystic fibrosis infection, Sci Rep., 5, 7649, 10.1038/srep07649 · DOI
  16. Williams, 2015, Divergent, coexisting Pseudomonas aeruginosa lineages in chronic cystic fibrosis lung infections, Am J Respir Crit Care Med, 191, 775, 10.1164/rccm.201409-1646OC · DOI
  17. Wee, 2018, Whole genome sequencing reveals the emergence of a Pseudomonas aeruginosa shared strain sub-lineage among patients treated within a single cystic fibrosis centre, BMC Genomics., 19, 644, 10.1186/s12864-018-5018-x · DOI
  18. Smith, 2006, Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients, Proc Natl Acad Sci USA, 103, 8487, 10.1073/pnas.0602138103 · DOI · Paper page
  19. Khaledi, 2016, Transcriptome profiling of antimicrobial resistance in Pseudomonas aeruginosa, Antimicrob Agents Chemother, 60, 4722, 10.1128/AAC.00075-16 · DOI
  20. Baldan, 2014, Adaptation of Pseudomonas aeruginosa in cystic fibrosis airways influences virulence of Staphylococcus aureus in vitro and murine models of co-infection, PLoS ONE., 9, e89614, 10.1371/journal.pone.0089614 · DOI · Paper page
  21. O’Toole, 2018, Cystic fibrosis airway microbiome: overturning the old, opening the way for the new, J Bacteriol., 200, e00561
  22. Ahlgren, 2015, Clinical outcomes associated with Staphylococcus aureus and Pseudomonas aeruginosa airway infections in adult cystic fibrosis patients, BMC Pulm Med, 15, 67, 10.1186/s12890-015-0062-7 · DOI
  23. Limoli, 2017, Pseudomonas aeruginosa Alginate overproduction promotes coexistence with Staphylococcus aureus in a model of cystic fibrosis respiratory infection, MBio., 8, e00186, 10.1128/mBio.00186-17 · DOI · Paper page
  24. Radlinski, 2017, Pseudomonas aeruginosa exoproducts determine antibiotic efficacy against Staphylococcus aureus, PLoS Biol, 15, e2003981, 10.1371/journal.pbio.2003981 · DOI · Paper page
  25. O’Brien, 2017, The role of multispecies social interactions in shaping Pseudomonas aeruginosa pathogenicity in the cystic fibrosis lung, FEMS Microbiol Lett, 364, fnx128
  26. Limoli, 2019, Help, hinder, hide and harm: what can we learn from the interactions between Pseudomonas aeruginosa and Staphylococcus aureus during respiratory infections?, Thorax., 74, 684, 10.1136/thoraxjnl-2018-212616 · DOI
  27. Jorth, 2015, Regional isolation drives bacterial diversification within cystic fibrosis lungs, Cell Host Microbe, 18, 307, 10.1016/j.chom.2015.07.006 · DOI · Paper page
  28. Marvig, 2015, Within-host microevolution of Pseudomonas aeruginosa in Italian cystic fibrosis patients, BMC Microbiol., 15, 218, 10.1186/s12866-015-0563-9 · DOI
  29. Jiricny, 2014, Loss of social behaviours in populations of Pseudomonas aeruginosa infecting lungs of patients with cystic fibrosis, PLoS ONE., 9, e83124, 10.1371/journal.pone.0083124 · DOI
  30. Bartell, 2019, Evolutionary highways to persistent bacterial infection, Nat Commun, 10, 629, 10.1038/s41467-019-08504-7 · DOI
  31. Markussen, 2014, Environmental heterogeneity drives within-host diversification and evolution of Pseudomonas aeruginosa, MBio., 5, e01592, 10.1128/mBio.01592-14 · DOI · Paper page
  32. Didelot, 2016, Within-host evolution of bacterial pathogens, Nat Rev Microbiol, 14, 150, 10.1038/nrmicro.2015.13 · DOI · Paper page
  33. Poltak, 2011, Ecological succession in long-term experimentally evolved biofilms produces synergistic communities, ISME J., 5, 369, 10.1038/ismej.2010.136 · DOI · Paper page
  34. Flynn, 2016, Evolution of ecological diversity in biofilms of Pseudomonas aeruginosa by altered cyclic diguanylate signaling, J Bacteriol., 198, 2608, 10.1128/JB.00048-16 · DOI
  35. Palmer, 2005, Cystic fibrosis sputum supports growth and cues key aspects of Pseudomonas aeruginosa physiology, J Bacteriol., 187, 5267, 10.1128/JB.187.15.5267-5277.2005 · DOI · Paper page
  36. Palmer, 2007, Nutritional cues control Pseudomonas aeruginosa multicellular behavior in cystic fibrosis sputum, J Bacteriol., 189, 8079, 10.1128/JB.01138-07 · DOI · Paper page
  37. Varga, 2015, Genotypic and phenotypic analyses of a Pseudomonas aeruginosa chronic bronchiectasis isolate reveal differences from cystic fibrosis and laboratory strains, BMC Genomics., 16, 883, 10.1186/s12864-015-2069-0 · DOI
  38. Feltner, 2016, LasR variant cystic fibrosis isolates reveal an adaptable quorum-sensing hierarchy in Pseudomonas aeruginosa, MBio., 7, e01513, 10.1128/mBio.01513-16 · DOI · Paper page
  39. Kostylev, 2019, Evolution of the Pseudomonas aeruginosa quorum-sensing hierarchy, Proc Natl Acad Sci USA, 116, 7027, 10.1073/pnas.1819796116 · DOI · Paper page
  40. Latifi, 1996, A hierarchical quorum-sensing cascade in Pseudomonas aeruginosa links the transcriptional activators LasR and RhIR (VsmR) to expression of the stationary-phase sigma factor RpoS, Mol Microbiol., 21, 1137, 10.1046/j.1365-2958.1996.00063.x · DOI · Paper page
  41. Gambello, 1991, Cloning and characterization of the Pseudomonas aeruginosa lasR gene, a transcriptional activator of elastase expression, J Bacteriol, 173, 3000, 10.1128/jb.173.9.3000-3009.1991 · DOI · Paper page
  42. Pearson, 1997, Roles of Pseudomonas aeruginosa las and rhl quorum-sensing systems in control of elastase and rhamnolipid biosynthesis genes, J Bacteriol, 179, 5756, 10.1128/jb.179.18.5756-5767.1997 · DOI · Paper page
  43. Gilbert, 2009, Global position analysis of the Pseudomonas aeruginosa quorum-sensing transcription factor LasR, Mol Microbiol, 73, 1072, 10.1111/j.1365-2958.2009.06832.x · DOI · Paper page
  44. Diggle, 2007, Evolutionary theory of bacterial quorum sensing: when is a signal not a signal?, Philos Trans R Soc Lond B Biol Sci, 362, 1241, 10.1098/rstb.2007.2049 · DOI · Paper page
  45. Bjarnsholt, 2010, Quorum sensing and virulence of Pseudomonas aeruginosa during lung infection of cystic fibrosis patients, PLoS ONE., 5, e10115, 10.1371/journal.pone.0010115 · DOI · Paper page
  46. Bartell, 2017, Reconstruction of the metabolic network of Pseudomonas aeruginosa to interrogate virulence factor synthesis, Nat Commun, 8, 14631, 10.1038/ncomms14631 · DOI
  47. Whiteley, 2017, Progress in and promise of bacterial quorum sensing research, Nature., 551, 313, 10.1038/nature24624 · DOI · Paper page
  48. Ciofu, 2010, Genetic adaptation of Pseudomonas aeruginosa during chronic lung infection of patients with cystic fibrosis: strong and weak mutators with heterogeneous genetic backgrounds emerge in mucA and/or lasR mutants, Microbiology., 156, 1108, 10.1099/mic.0.033993-0 · DOI · Paper page
  49. Diaz Caballero, 2015, Selective sweeps and parallel pathoadaptation drive Pseudomonas aeruginosa evolution in the cystic fibrosis lung, MBio., 6, e00981, 10.1128/mBio.00981-15 · DOI
  50. Feliziani, 2010, Mucoidy, quorum sensing, mismatch repair and antibiotic resistance in Pseudomonas aeruginosa from cystic fibrosis chronic airways infections, PLoS ONE., 5, e12669, 10.1371/journal.pone.0012669 · DOI
  51. Nguyen, 2006, Evolving stealth: genetic adaptation of Pseudomonas aeruginosa during cystic fibrosis infections, Proc Natl Acad Sci USA, 103, 8305, 10.1073/pnas.0602526103 · DOI
  52. Marvig, 2013, Genome analysis of a transmissible lineage of Pseudomonas aeruginosa reveals pathoadaptive mutations and distinct evolutionary paths of hypermutators, PLoS Genet., 9, e1003741, 10.1371/journal.pgen.1003741 · DOI · Paper page
  53. Lieberman, 2014, Genetic variation of a bacterial pathogen within individuals with cystic fibrosis provides a record of selective pressures, Nat Genet., 46, 82, 10.1038/ng.2848 · DOI · Paper page
  54. LaFayette, 2015, Cystic fibrosis-adapted Pseudomonas aeruginosa quorum sensing lasR mutants cause hyperinflammatory responses, Sci Adv., 1, e1500199, 10.1126/sciadv.1500199 · DOI
  55. Rumbaugh, 1999, Contribution of the regulatory gene lasR to the pathogenesis of Pseudomonas aeruginosa infection of burned mice, J Burn Care Rehabil, 20, 42, 10.1097/00004630-199901001-00008 · DOI
  56. Storey, 1998, Pseudomonas aeruginosa lasR transcription correlates with the transcription of lasA, lasB, and toxA in chronic lung infections associated with cystic fibrosis, Infect Immun, 66, 2521, 10.1128/IAI.66.6.2521-2528.1998 · DOI · Paper page
  57. Chowdhury, 2016, Molecular insight into the activity of LasR protein from Pseudomonas aeruginosa in the regulation of virulence gene expression by this organism, Gene, 580, 80, 10.1016/j.gene.2015.12.067 · DOI
  58. Kafle, 2016, Molecular insights into the impact of oxidative stress on the quorum-sensing regulator protein LasR, J Biol Chem, 291, 11776, 10.1074/jbc.M116.719351 · doi:10.1074/jbc.m116.719351
  59. D’Argenio, 2007, Growth phenotypes of Pseudomonas aeruginosa lasR mutants adapted to the airways of cystic fibrosis patients, Mol Microbiol, 64, 512, 10.1111/j.1365-2958.2007.05678.x · DOI · Paper page
  60. Schick, 2018, Rapid diversification of Pseudomonas aeruginosa in cystic fibrosis lung-like conditions, Proc Natl Acad Sci USA, 115, 10714, 10.1073/pnas.1721270115 · DOI
  61. Fung, 2010, Gene expression of Pseudomonas aeruginosa in a mucin-containing synthetic growth medium mimicking cystic fibrosis lung sputum, J Med Microbiol, 59, 1089, 10.1099/jmm.0.019984-0 · DOI
  62. Behrends, 2013, Direct assessment of metabolite utilization by Pseudomonas aeruginosa during growth on artificial sputum medium, Appl Environ Microbiol, 79, 2467, 10.1128/AEM.03609-12 · DOI
  63. Melnyk, 2017, Evolution of cost-free resistance under fluctuating drug selection in Pseudomonas aeruginosa, mSphere., 2, e00158, 10.1128/mSphere.00158-17 · DOI
  64. Wong, 2012, Genomics of adaptation during experimental evolution of the opportunistic pathogen Pseudomonas aeruginosa, PLoS Genet., 8, e1002928, 10.1371/journal.pgen.1002928 · DOI · Paper page
  65. Bielecki, 2013, Ex vivo transcriptional profiling reveals a common set of genes important for the adaptation of Pseudomonas aeruginosa to chronically infected host sites, Environ Microbiol., 15, 570, 10.1111/1462-2920.12024 · doi:10.1111/1462-2920.12024
  66. Ciofu, 2005, Occurrence of hypermutable Pseudomonas aeruginosa in cystic fibrosis patients is associated with the oxidative stress caused by chronic lung inflammation, Antimicrob Agents Chemother, 49, 2276, 10.1128/AAC.49.6.2276-2282.2005 · DOI · Paper page
  67. Manfredi, 2015, Bacteria in the CF lung: isolation drives diversity, Cell Host Microbe, 18, 268, 10.1016/j.chom.2015.08.013 · doi:10.1016/j.chom.2015.08.013
  68. Kirisits, 2005, Characterization of colony morphology variants isolated from Pseudomonas aeruginosa biofilms, Appl Environ Microbiol, 71, 4809, 10.1128/AEM.71.8.4809-4821.2005 · DOI · Paper page
  69. Arai, 2011, Regulation and function of versatile aerobic and anaerobic respiratory metabolism in Pseudomonas aeruginosa, Front Microbiol., 2, 103, 10.3389/fmicb.2011.00103 · DOI · Paper page
  70. Wang, 2016, Transcription-associated mutation of lasR in Pseudomonas aeruginosa, DNA Repair., 46, 9, 10.1016/j.dnarep.2016.09.001 · doi:10.1016/j.dnarep.2016.09.001
  71. Tai, 2015, Genotypic diversity within a single Pseudomonas aeruginosa strain commonly shared by Australian patients with cystic fibrosis, PLoS ONE., 10, e0144022, 10.1371/journal.pone.0144022 · DOI
  72. Rumbaugh, 2012, Kin selection, quorum sensing and virulence in pathogenic bacteria, Proc Biol Sci., 279, 3584
  73. Kohler, 2009, Cooperation and virulence of clinical Pseudomonas aeruginosa populations, Proc Natl Acad Sci USA, 106, 6339, 10.1073/pnas.0811741106 · DOI · Paper page
  74. Rumbaugh, 2009, Quorum sensing and the social evolution of bacterial virulence, Curr Biol., 19, 341, 10.1016/j.cub.2009.01.050 · DOI · Paper page
  75. Traverse, 2013, Tangled bank of experimentally evolved Burkholderia biofilms reflects selection during chronic infections, Proc Natl Acad Sci USA, 110, E250, 10.1073/pnas.1207025110 · DOI · Paper page
  76. Li, 2009, Fast and accurate short read alignment with Burrows-Wheeler transform, Bioinformatics., 25, 1754, 10.1093/bioinformatics/btp324 · DOI · Paper page
  77. Langmead, 2012, Fast gapped-read alignment with Bowtie 2, Nat Methods., 9, 357, 10.1038/nmeth.1923 · DOI · Paper page
  78. Li, 2009, The sequence alignment/map format and SAMtools, Bioinformatics., 25, 2078, 10.1093/bioinformatics/btp352 · DOI · Paper page
  79. Barrick, 2014, Identifying structural variation in haploid microbial genomes from short-read resequencing data using breseq, BMC Genomics., 15, 1039, 10.1186/1471-2164-15-1039 · DOI · Paper page
  80. Mayer-Hamblett, 2014, Pseudomonas aeruginosa in vitro phenotypes distinguish cystic fibrosis infection stages and outcomes, Am J Respir Crit Care Med, 190, 289, 10.1164/rccm.201404-0681OC · DOI
  81. Kummerli, 2009, Phenotypic plasticity of a cooperative behaviour in bacteria, J Evol Biol, 22, 589, 10.1111/j.1420-9101.2008.01666.x · DOI · Paper page
  82. Ankenbauer, 1985, Effects of siderophores on the growth of Pseudomonas aeruginosa in human serum and transferrin, Infect Immun, 49, 132, 10.1128/iai.49.1.132-140.1985 · DOI · Paper page
  83. Winson, 1995, Multiple N-acyl-L-homoserine lactone signal molecules regulate production of virulence determinants and secondary metabolites in Pseudomonas aeruginosa, Proc Natl Acad Sci USA, 92, 9427, 10.1073/pnas.92.20.9427 · DOI · Paper page
  84. Cornforth, 2014, Combinatorial quorum sensing allows bacteria to resolve their social and physical environment, Proc Natl Acad Sci USA, 111, 4280, 10.1073/pnas.1319175111 · doi:10.1073/pnas.1319175111
  85. Popat, 2015, Conflict of interest and signal interference lead to the breakdown of honest signaling, Evolution., 69, 2371, 10.1111/evo.12751 · DOI
  86. Heeb, 2000, Small, stable shuttle vectors based on the minimal pVS1 replicon for use in gram-negative, plant-associated bacteria, Mol Plant Microbe., 13, 232, 10.1094/MPMI.2000.13.2.232 · DOI · Paper page
  87. Gibson, 2009, Enzymatic assembly of DNA molecules up to several hundred kilobases, Nat Methods., 6, 343, 10.1038/nmeth.1318 · DOI · Paper page
  88. Choi, 2006, A 10-min method for preparation of highly electrocompetent Pseudomonas aeruginosa cells: application for DNA fragment transfer between chromosomes and plasmid transformation, J Microbiol Methods., 64, 391, 10.1016/j.mimet.2005.06.001 · DOI · Paper page
  89. Heberle, 2015, InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams, BMC Bioinforma., 16, 169, 10.1186/s12859-015-0611-3 · DOI · Paper page

Cited by

See all 66

Metadata

Authors
Azimi, S., Roberts, A. E. L., Peng, S., Weitz, J. S., McNally, A., Brown, S. P., & Diggle, S. P.
Venue
The ISME Journal
Publisher
Oxford University Press (OUP)
Published
2020-04-27
Volume
14
Issue
8
Pages
1929-1942
ISSN
  • 1751-7362
  • 1751-7370
DOI
10.1038/s41396-020-0652-0
Cited by
66
References
2
Language
en
Licence
Funders
  • Cystic Fibrosis Foundation (DIGGLE18I0, AZIMI18F0)
  • Human Frontier Science Program (RGY0081/2012)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Allelic polymorphism shapes community function in evolving Pseudomonas aeruginosa populations. https://app.cochat.ai/papers/10.1038/s41396-020-0652-0
The paper
Azimi, S., Roberts, A. E. L., Peng, S., Weitz, J. S., McNally, A., Brown, S. P., & Diggle, S. P. (2020). Allelic polymorphism shapes community function in evolving Pseudomonas aeruginosa populations. The ISME Journal. https://doi.org/10.1038/s41396-020-0652-0

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.