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United we stand, divided we fall

Sophie Bleves, Benjamin Berni

To cite this version:

Sophie Bleves, Benjamin Berni. United we stand, divided we fall. Nature Microbiology, Nature Publishing Group, 2018, �10.1038/s41564-018-0130-x�. �hal-01747306�

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Subject Categories: [To be completed by editor]

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Subject strapline: [To be completed by editor]

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Title 4

United we stand, divided we fall 5

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Sophie Bleves and Benjamin Berni 7

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Laboratoire d’Ingénierie des Systèmes Macromoléculaires (UMR7255), Institut de 9

Microbiologie de la Méditerranée, Aix-Marseille Univ and CNRS, Marseilles, France.

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Email: bleves@imm.cnrs.fr 11

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Standfirst 13

Bacteria can compete in the environment using antibacterial Type VI Secretion Systems. A 14

recent study reveals that the simultaneous deployment of an arsenal of different toxins 15

promotes both synergy between those toxins and an optimized answer in the face of 16

inconstant environments.

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Main text 18

Although discovered more recently than other protein secretion systems, the Type VI 19

Secretion System (T6SS) is unexpectedly one of the most widespread among Gram-negative 20

bacteria. Notably, it was the first secretion system discovered that injects antibacterial 21

effectors into target bacteria1. The T6SS can thus confer a fitness advantage in environmental 22

niches against rival bacteria (inter- and intraspecies competitiveness have been described) and 23

in the eukaryotic host (i) between commensal bacteria2 and (ii) between pathogenic and 24

commensal bacteria3. In addition, some T6SSs are specialized for disarming the eukaryotic 25

host cell.

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The opportunistic pathogen Pseudomonas aeruginosa employs three independent 27

T6SSs as antibacterial weapons, two of which also allow interaction with epithelial cells4. The 28

H1-T6SS was the first antibacterial T6SS ever described1 and only an antibacterial role has so 29

far been reported. Seven H1-T6SS effectors have been found, and they disable various 30

cellular components in target bacteria. Immunity proteins, also called antitoxins, bind to the 31

cognate effector proteins to prevent sister cell attack and, in the case of cytoplasmic toxins, 32

prevent self-intoxication. While a single effector protein can kill a competitor, P. aeruginosa, 33

like many bacteria, deploys an arsenal of effector proteins. In this report LaCourse and 34

colleagues raised a simple but pertinent question: how do bacteria benefit from the delivery of 35

effectors with diverse activities? The authors proposed two hypotheses that may not be 36

mutually exclusive. Do environmental conditions impact effector activity and are some 37

effectors more adapted to particular environments? Or, do the multiple effectors act 38

synergistically?

39

LaCourse et al. have developed a powerful assay, called PAEE (Parallel Analysis of 40

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Effector Efficacy), with six of the P. aeruginosa H1-T6SS effectors as a model. In a classical 41

competition assay, the CFU numbers of target bacteria would be counted for each different 42

condition (i.e. wild-type versus mutant, or according to various growth parameters), using 43

many plates and much time. PAEE is a high-throughput pooled-method based on sequencing 44

unique barcodes introduced into a library of 21 mutants in which one or two of the six 45

effector-immunity gene pairs have been deleted. The library was grown under a variety of 46

environmental conditions in contact with an excess of the unbarcoded parental strain that acts 47

as a donor for the six effectors. The authors tested whether pH, oxygen availability, 48

temperature, or salinity influenced the ability of the parental strain effectors to kill the 49

different effector-immunity deficient mutants. PAEE allowed the authors to observe exciting 50

phenotypes, and showed that the activities of the six effectors are conditioned by the 51

environment. For instance, the killing activity of the effector Tse5 increases between pH 6 52

and pH 8, with increasing osmolarity, and decreases at higher temperatures. Strikingly, the 53

authors demonstrated effector activity was not linked to gene regulation, and for instance with 54

transcriptional induction in the optimal condition. These toxins tend to be intrinsically more 55

active in a particular environment even if this point has not been firmly established here. The 56

authors tested whether toxins might act in synergy by studying the different effector- 57

immunity double mutants. They observed that Tse1, Tse4 and Tse6 act strongly in synergy 58

with other toxins. The muramidase Tse3 functions in synergy with Tse4 in all conditions, 59

including at high pH where its activity in the absence of Tse4 decreases greatly. Furthermore, 60

some synergistic pairs depend on the environmental conditions: Tse4 and the amidase Tse1 61

were synergistic at high salinity, and Tse2 and the NAD(P)+ glycohydrolase Tse6 during 62

anaerobiosis. These results demonstrate that effector pair relationships can be conditional.

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Finally, in one case anti-synergy was observed between Tse4 and Tse5, whose cumulative 64

activities were at or below the sum of their individual activities. Not all possible interactions 65

were studied, and for example the use of triple or higher order mutants might be expected to 66

reveal synergy between groups of toxins that are not synergistic in pairs. The level of synergy 67

between toxins is thus probably underestimated compared to the situation in vivo. In 68

conclusion, the arsenal of T6SS effectors acts both synergistically and activity is modulated in 69

response to varying environmental conditions.

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Interestingly, PAEE revealed a key role for the poorly characterized effector Tse46. 71

Tse4 was found to act in synergy with Tse1, Tse3 and Tse6, the two firsts being bactericidal 72

toxins by targeting the peptidoglycan, while the latter is bacteriostatic by depleting NAD(P)+

73

in the cytoplasm. One can wonder at what kind of activity that can allow synergy with 74

effectors that harbor such distinct activities? The authors use a series of experiments to 75

demonstrate the Tse4 is likely to function as a novel ion selective membrane pore. Tse4 is 76

found in the inner membrane of P. aeruginosa, and contains glycine zipper motifs that are 77

implicated in transmembrane domain multimerization in pore-forming proteins. The authors 78

demonstrated that these glycine zipper motifs are required for Tse4 toxicity. By constructing a 79

self-intoxication strain by deletion of tsi4, the gene coding Tse4 immunity, they showed that 80

Tse4 led to the permeability of the inner membrane to ions, and this was due to an altered ΔΨ 81

component of the proton motive force. Membrane disrupting activities have been previously 82

described for T6SS effectors with VasX that binds phosphoinositides7 or the Tle (Type VI 83

lipase effectors)8, but never a pore-forming activity as found for Tse4 here. The authors 84

propose that the synergy between Tse4 and cell wall-degrading effectors (Tse1, Tse3) may 85

rely on PMF-sensitive autolysin activation and that Tse4 could exacerbate the consequences 86

of NAD(P)+ depletion by Tse6 through inhibiting ΔΨ dependent transporters.

87

In conclusion, the work of LaCourse and colleagues establishes that the concomitant 88

delivery of multiple toxins allows both synergy between these effectors and an optimized 89

action in a wide range of environmental conditions. Another benefit of a broad repertoire of 90

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effectors, as discussed by the authors, may be to minimize the emergence of resistant among 91

competitors such as the therapeutic use of antibiotic combination to prevent resistance. This 92

work raises important questions as to what extent synergy can occur between effectors from 93

different species, as could occur in complex environments such as the gut or in polymicrobial 94

infections such as those that occur in cystic fibrosis sufferers. And finally how bacteria can 95

defend against these synergies?

96 97

References 98

1. Hood, R. D. et al. Cell Host Microbe. 7, 25-37 (2010).

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2. Russell, A.B., et al. Cell Host Microbe. 16(2), 227-236 (2014).

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3. Sana, T. G. et al. Proc Natl Acad Sci U S A. 113, E5044-51 (2016).

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4. Sana, T. G., Berni, B. & Bleves, S. Front. Cell. Infect. Microbiol. 6-61 (2016).

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5. LaCourse, D. et al. in press for Nature Microbiology.

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6. Whitney, J. C. et al. Mol. Microbiol. 92, 529-42 (2014).

104

7. Miyata, S. T., Kitaoka, M., Brooks, T. M., McAuley, S. B., Pukatzki, S. Infect. Immun.

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79(7):2941-2949 (2011).

106

8. Russell, A.B., et al. Nature. 496(7446), 508-512 (2013).

107 108 109

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