Genome Reduction Is Associated with Bacterial Pathogenicity across Different Scales of Temporal and Ecological Divergence
Open accessPublished version of a preprint
Abstract
Emerging bacterial pathogens threaten global health and food security, and so it is important to ask whether these transitions to pathogenicity have any common features. We present a systematic study of the claim that pathogenicity is associated with genome reduction and gene loss. We compare broad-scale patterns across all bacteria, with detailed analyses of Streptococcus suis, an emerging zoonotic pathogen of pigs, which has undergone multiple transitions between disease and carriage forms. We find that pathogenicity is consistently associated with reduced genome size across three scales of divergence (between species within genera, and between and within genetic clusters of S. suis). Although genome reduction is also found in mutualist and commensal bacterial endosymbionts, genome reduction in pathogens cannot be solely attributed to the features of their ecology that they share with these species, that is, host restriction or intracellularity. Moreover, other typical correlates of genome reduction in endosymbionts (reduced metabolic capacity, reduced GC content, and the transient expansion of nonfunctional elements) are not consistently observed in pathogens. Together, our results indicate that genome reduction is a consistent correlate of pathogenicity in bacteria.
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.
Integrity signals
Registry
Cites
Statistics
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.
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?
Comparative genomic analyses usually test for correlations between traits.
“Comparative genomic analyses usually test for correlations between traits.”
From A phylogenetic approach to comparative genomics (2025) · cites this paper as [37]
The Results and Discussion section (‘Pathogenicity Is Associated with Genome Reduction at All Divergence Scales’; page unavailable) reports associations between genomic traits and pathogenicity, and the Statistical Analyses section describes tests of those associations. This supports the paper as an example of comparative genomic analysis testing trait associations, but it does not establish that such analyses usually do so. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Phylogenies and the Comparative Method
Felsenstein, J. (1985) · The American Naturalist · doi:10.1086/284325 · Cited by 9,793 · see citing works
O'Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., Rajput, B., Robbertse, B., Smith-White, B., Ako-Adjei, D., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1189 · Cited by 6,357 · see citing works
Flagged first, then by citations
Research works printed but not linked: 53
- Baig A, Weinert LA, Peters SE, Howell KJ, Chaudhuri RR, Wang J, Holden MTG, Parkhill J, Langford PR, Rycroft AN, et al 2015. Whole genome investigation of a divergent clade of the pathogen Streptococcus suis. Front Microbiol. 6: 1191. 26583006 PMC4631834
- Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, et al 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 19(5): 455– 477. 22506599 PMC3342519
- Bertelli C, Laird MR, Williams KP, Research Computing Group SFU, Lau BY, Hoad GL, Winsor GL, Brinkman FSL, 2017. IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets. Nucleic Acids Res. 45(W1): W30– W35. 28472413 PMC5570257
- Bobay L-M, Ochman H. 2018. Factors driving effective population size and pan-genome evolution in bacteria. BMC Evol Biol. 18(1): 153. 30314447 PMC6186134
- Corander J, Marttinen P, Sirén J, Tang J. 2008. Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations. BMC Bioinformatics 9(1): 539. 19087322 PMC2629778
- Croucher NJ, Page AJ, Connor TR, Delaney AJ, Keane JA, Bentley SD, Parkhill J, Harris SR. 2015. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acids Res. 43(3): e15. 25414349 PMC4330336
- Darling AE, Jospin G, Lowe E, Matsen FA, Bik HM, Eisen JA. 2014. PhyloSift: phylogenetic analysis of genomes and metagenomes. PeerJ 2: e243. 24482762 PMC3897386
- Dietel A-K, Merker H, Kaltenpoth M, Kost C. 2019. Selective advantages favour high genomic AT-contents in intracellular elements. PLoS Genet. 15(4): e1007778. 31034469 PMC6519830
- Freckleton RP. 2000. Phylogenetic tests of ecological and evolutionary hypotheses: checking for phylogenetic independence. Funct Ecol. 14(1): 129– 134.
- Georgiades K, Raoult D. 2011. Genomes of the most dangerous epidemic bacteria have a virulence repertoire characterized by fewer genes but more toxin-antitoxin modules. PLoS ONE 6(3): e17962. 21437250 PMC3060909
- Hadjirin NF, Miller EL, Murray GGR, Yen PLK, Phuc HD, Wileman TM, Hernandez-Garcia J, Williamson SM, Parkhill J, Maskell DJ, et al. 2020. Linking phenotype, genotype and ecology: Antimicrobial resistance in the zoonotic pathogen Streptococcus suis. bioRxiv; doi:10.1101/2020.05.05.078493. PMC8422772 34493269 · DOI
- Hershberg R, Petrov DA. 2010. Evidence that mutation is universally biased towards AT in bacteria. PLoS Genet. 6(9): e1001115. 20838599 PMC2936535
- Hildebrand F, Meyer A, Eyre-Walker A. 2010. Evidence of selection upon genomic GC-content in bacteria. PLoS Genet. 6(9): e1001107. 20838593 PMC2936529
- Huang SS, Hinrichsen VL, Datta R, Spurchise L, Miroshnik I, Nelson K, Platt R. 2011. Methicillin-resistant Staphylococcus aureus infection and hospitalization in high-risk patients in the year following detection. PLoS ONE 6(9): e24340. 21949707 PMC3174953
- Hudson RR, Slatkin M, Maddison WP. 1992. Estimation of levels of gene flow from DNA sequence data. Genetics 132(2): 583– 589. 1427045 PMC1205159
- Huelsenbeck JP, Ronquist F. 2001. MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17(8): 754– 755. 11524383
- Kono M, Zafar MA, Zuniga M, Roche AM, Hamaguchi S, Weiser JN. 2016. Single cell bottlenecks in the pathogenesis of Streptococcus pneumoniae. PLoS Pathog. 12(10): e1005887. 27732665 PMC5061371
- Kumar S, Stecher G, Tamura K. 2016. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 33(7): 1870– 1874. 27004904 PMC8210823
- Kuo C-H, Moran NA, Ochman H. 2009. The consequences of genetic drift for bacterial genome complexity. Genome Res. 19(8): 1450– 1454. 19502381 PMC2720180
- Langmead B, Salzberg SL. 2012. Fast gapped-read alignment with Bowtie 2. Nat Methods. 9(4): 357– 359. 22388286 PMC3322381
- Langridge GC, Fookes M, Connor TR, Feltwell T, Feasey N, Parsons BN, Seth-Smith HMB, Barquist L, Stedman A, Humphrey T, et al 2015. Patterns of genome evolution that have accompanied host adaptation in Salmonella. Proc Natl Acad Sci USA. 112(3): 863– 868. 25535353 PMC4311825
- Lassalle F, Perian S, Bataillon T, Nesme X, Duret L, Daubin V. 2015. GC-content evolution in bacterial genomes: the biased gene conversion hypothesis expands. PLoS Genet. 11(2): e1004941. 25659072 PMC4450053
- Li H, Durbin R. 2009. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25(14): 1754– 1760. 19451168 PMC2705234
- McCutcheon JP, Moran NA. 2007. Parallel genomic evolution and metabolic interdependence in an ancient symbiosis. Proc Natl Acad Sci USA. 104(49): 19392– 19397. 18048332 PMC2148300
- McCutcheon JP, Moran NA. 2012. Extreme genome reduction in symbiotic bacteria. Nat Rev Microbiol. 10(1): 13– 26. 22064560
- Mira A, Ochman H, Moran NA. 2001. Deletional bias and the evolution of bacterial genomes. Trends Genet. 17(10): 589– 596. 11585665
- Moran NA. 2002. Microbial minimalism. Cell 108(5): 583– 586. 11893328
- Nakabachi A, Yamashita A, Toh H, Ishikawa H, Dunbar HE, Moran NA, Hattori M. 2006. The 160-kilobase genome of the bacterial endosymbiont Carsonella. Science 314(5797): 267– 267. 17038615
- Newton ILG, Bordenstein SR. 2011. Correlations between bacterial ecology and mobile DNA. Curr Microbiol. 62(1): 198– 298. 20577742 PMC3006647
- Ochman H, Moran NA. 2001. Genes lost and genes found: evolution of bacterial pathogenesis and symbiosis. Science 292(5519): 1096– 1099. 11352062
- Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, Holden MTG, Fookes M, Falush D, Keane JA, Parkhill J. 2015. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 31(22): 3691– 3693. 26198102 PMC4817141
- Pagel M. 1999. Inferring the historical patterns of biological evolution. Nature 401(6756): 877– 884. 10553904
- Paradis E, Claude J, Strimmer K. 2004. APE: analyses of phylogenetics and evolution in R language. Bioinformatics 20(2): 289– 290. 14734327
- Pupo GM, Lan R, Reeves PR. 2000. Multiple independent origins of Shigella clones of Escherichia coli and convergent evolution of many of their characteristics. Proc Natl Acad Sci USA. 97(19): 10567– 10572. 10954745 PMC27065
- Rao Q, Rollat-Farnier P-A, Zhu D-T, Santos-Garcia D, Silva FJ, Moya A, Latorre A, Klein CC, Vavre F, Sagot M-F, et al 2015. Genome reduction and potential metabolic complementation of the dual endosymbionts in the whitefly Bemisia tabaci. BMC Genomics 16(1): 226. 25887812 PMC4438442
- Rautelin H, Hänninen ML, Sivonen A, Turunen U, Valtonen V. 1995. Chronic diarrhea due to a single strain of Aeromonas caviae. Eur J Clin Microbiol Infect Dis. 14(1): 51– 53. 7537217
- Rocha EPC, Danchin A. 2002. Base composition bias might result from competition for metabolic resources. Trends Genet. 18(6): 291– 294. 12044357
- Schliep KP. 2011. phangorn: phylogenetic analysis in R. Bioinformatics 27(4): 592– 593. 21169378 PMC3035803
- Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30(14): 2068– 2069. 24642063
- Sheppard SK, Guttman DS, Ross Fitzgerald J. 2018. Population genomics of bacterial host adaptation. Nat Rev Genet. 19(9): 549– 565. 29973680
- Stinear TP, Seemann T, Harrison PF, Jenkin GA, Davies JK, Johnson PDR, Abdellah Z, Arrowsmith C, Chillingworth T, Churcher C, et al 2008. Insights from the complete genome sequence of Mycobacterium marinum on the evolution of Mycobacterium tuberculosis. Genome Res. 18(5): 729– 741. 18403782 PMC2336800
- Toft C, Andersson SGE. 2010. Evolutionary microbial genomics: insights into bacterial host adaptation. Nat Rev Genet. 11(7): 465– 475. 20517341
- Tonkin-Hill G, Lees JA, Bentley SD, Frost SDW, Corander J. 2018. RhierBAPS: an R implementation of the population clustering algorithm hierBAPS. Wellcome Open Res. 3: 93. 30345380 PMC6178908
- Vötsch D, Willenborg M, Weldearegay YB, Valentin-Weigand P. 2018. Streptococcus suis—the “two faces” of a pathobiont in the porcine respiratory tract. Front Microbiol. 9: 480. 29599763 PMC5862822
- Vouga M, Greub G. 2016. Emerging bacterial pathogens: the past and beyond. Clin Microbiol Infect. 22(1): 12– 21. 26493844 PMC7128729
- Weinert LA, Chaudhuri RR, Wang J, Peters SE, Corander J, Jombart T, Baig A, Howell KJ, Vehkala M, Välimäki N, et al 2015. Genomic signatures of human and animal disease in the zoonotic pathogen Streptococcus suis. Nat Commun. 6: 6740. 25824154 PMC4389249
- Weinert LA, Welch JJ. 2017. Why might bacterial pathogens have small genomes? Trends Ecol Evol. 32(12): 936– 947. 29054300
- Whitman WB. ed. 2015. Bergey’s manual of systematics of archaea and bacteria. Wiley.
- Wileman TM, Weinert LA, Howell KJ, Wang J, Peters SE, Williamson SM, Wells JM, Langford PR, Rycroft AN, Wren BW, et al 2019. Pathotyping the zoonotic pathogen Streptococcus suis: novel genetic markers to differentiate invasive disease-associated isolates from non-disease-associated isolates from England and Wales. J Clin Microbiol. 57: e01712– 18. 30944194 PMC6595460
- Wright ES. 2015. DECIPHER: harnessing local sequence context to improve protein multiple sequence alignment. BMC Bioinformatics 16(1): 322. 26445311 PMC4595117
- Zientz E, Dandekar T, et al 2004. Metabolic interdependence of obligate intracellular bacteria and their insect hosts. Microbiol Mol Biol Rev. 68(4): 745– 70. 15590782 PMC539007
- Zhu Q, Mai U, Pfeiffer W, Janssen S, Asnicar F, Sanders JG, Belda-Ferre P, Al-Ghalith GA, Kopylova E, McDonald D, et al 2019. Phylogenomics of 10,575 genomes reveals evolutionary proximity between domains Bacteria and Archaea. Nat Commun. 10(1): 5477. 31792218 PMC6889312
- Zou G, Zhou J, Xiao R, Zhang L, Cheng Y, Jin H, Li L, Zhang L, Wu B, Qian P, et al 2018. Effects of environmental and management-associated factors on prevalence and diversity of Streptococcus suis in clinically healthy pig herds in China and the United Kingdom. Appl Environ Microbiol. 84(8): e02590– 17. 29427423 PMC5881051
Cited by
Sorted by citations
A phylogenetic approach to comparative genomics
Dewar, A. E., Belcher, L. J., & West, S. A. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-024-00803-0 · Cited by 41 · see citing works
- Authors
- Murray, G. G. R., Charlesworth, J., Miller, E. L., Casey, M. J., Lloyd, C. T., Gottschalk, M., Tucker, A. W. (., Welch, J. J., & Weinert, L. A.
- Affiliations
- University of Cambridge (GB)
- European Bioinformatics Institute (GB)
- Haverford College (US)
- Université de Montréal (CA)
- Corresponding author
- Murray, Gemma G R
- Charlesworth, Jane
- ORCID
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-12-12
- Volume
- 38
- Issue
- 4
- Pages
- 1570-1579
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- PMC
- PMC8042751
- OpenAlex
- W3115825159
- Cited by
- 101
- References
- 2
- Citations by year
- 2026: 13 · 2025: 16 · 2024: 25 · 2023: 22 · 2022: 17 · 2021: 7 · 2020: 1
- FWCI
- 8.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular Biology and Evolution (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- Wellcome Trust
- Royal Society (109385/Z/15/Z)
- ZELS BBSRC (BB/L018934/1)
- Research Fellowship
- EBPOD fellowship
- EBI
- Topics
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect symbiosis and bacterial influences
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- bacterial pathogenicity, gene loss, Streptococcus suis, zoonotic pathogens, emerging pathogens, endosymbionts, mutualists, commensal bacteria, host restriction, intracellular bacteria, metabolic capacity, GC content, bacterial evolution
- MeSH terms
- Animals, Bacteria, Biological Evolution, Symbiosis, Genome, Bacterial, Genome Size
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