Literature DB >> 30700713

Reply to: Caution in inferring viral strategies from abundance correlations in marine metagenomes.

F H Coutinho1,2,3, C B Silveira1,4, G B Gregoracci5, C C Thompson1, R A Edwards4, C P D Brussaard6,7, B E Dutilh1,2,3, F L Thompson8,9.   

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Year:  2019        PMID: 30700713      PMCID: PMC6353887          DOI: 10.1038/s41467-018-08286-4

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


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H. Al-Rasheed et al. Nature Communications 10.1038/s41467-018-07950-z (2019) Our publication by Coutinho et al.[1] assembled viral genomes from marine viromes and linked these viral genomes to their potential hosts. We then investigated the relationship between the abundances of microbes (hosts) and virus-host-ratios (VHR) across samples (see Fig. 6 in ref. [1]). We observed a decrease in VHR with increasing host abundance that is consistent with independent findings[2,3]. That result was interpreted in the discussion of our original publication as a relative decrease in lytic viral production. The decrease in VHR with increasing host abundance is consistent with the Piggyback-the-Winner (PtW) model, which proposes that lysogeny is the mechanism behind the decrease in VHR[4]. Al-Rasheed et al.[5] criticized our interpretation arguing that the negative relationship reported for VHR and host abundance was not indicative of higher frequency of lysogeny. This criticism seems to stem from the interpretation of PtW. In Coutinho et al.[1], we refer to PtW as a framework that proposes an increase in lysogeny at high host abundances, resulting in the decrease in VHR. Al-Rasheed et al.[5] refer to the specific mathematical formulation presented in Fig. 1B of Knowles et al[4]. In Coutinho et al.[1], we analyzed how the ratio between viral and bacterial abundances (y/x) responded to bacterial abundances following a power function y/x ~ x. This test led to β ≈ –1. Al-Rasheed et al. pointed out that this result masked the relationship between viral and bacterial abundances, y ~ x which resulted in a null slope α ≈ 0 for most virus-host pairs (see Fig. 1a in Al-Rasheed et al.[5]). Because this relationship does not match that of the mathematical formulation in Fig. 1B of Knowles et al.[4], Al-Rasheed et al.[5] argued that there was no evidence to support PtW in our data. However, we do not restrict our interpretation to the mathematical formulation in Fig. 1B of Knowles et al.[4] because that is an extension of the Kill-the-Winner formulation modified so the lytic production decreases with increasing microbial abundances, with no explicit lysogenic component. The results of both analyses (y ~ x by Al-Rasheed et al.[5] and y/x ~ x by Coutinho et al.[1]) show that the viral abundance did not proportionally increase upon increase in host abundance. That is interpreted here, in agreement with previous literature, as a relative decrease in lytic activity[6,7]. The rationale is that high bacterial and viral abundances increase encounters, and are predicted to increase lytic production in the simplest possible scenario where all other infection variables are maintained. However, the rise of defense, lysogeny, or other unknown mechanism can prevent the increase in viral abundances. Al-Rasheed et al.[5] criticized our interpretation that lysogeny may be the underlying mechanism, and certainly, lysogeny is not the only possible explanation, as acknowledged in our original publication. We also acknowledge that computational strategies to infer phage–host associations are currently limited, and curtail the ability to observe associations between phage–host pairs[8-10]. Nevertheless, we adopted the best strategies available to infer these associations. As computational tools improve, so will the capacity to re-evaluate the validity of the phage–host abundance patterns presented in our original publication. Other independent studies have reported findings that corroborate the Piggyback-the-Winner model. The recently discovered Arbitrium system[11,12] demonstrated experimentally not only that phages can communicate to promote a shift to the lysogenic life style when encounter rates are high, but also described the molecular mechanism that controls this switch. Second, comparative genomics demonstrated that prophages are more prevalent among the genomes of organisms with higher growth rates[13]. Last, metagenomic data obtained from the murine gut, an ecosystem with high host abundances, has demonstrated that lysogeny is the preferred strategy adopted by phages in this habitat[14]. Finally, in Coutinho et al.[1] we performed no direct measurement of lytic production or frequency of lysogeny, nor did we claim to do so. We utilized the plethora of publicly available metagenomic and viromic data to gain insight on replication strategies. Al-Rasheed et al.’s[5] analyses do not contradict the core interpretation of relatively lower lytic activity with increasing host abundance. In our original discussion[1], we presented rationale supporting PtW as the underlying mechanism. But more importantly, we encourage further investigation of viral life strategies in the light of new hypotheses and data.
  13 in total

Review 1.  Virioplankton: viruses in aquatic ecosystems.

Authors:  K E Wommack; R R Colwell
Journal:  Microbiol Mol Biol Rev       Date:  2000-03       Impact factor: 11.056

2.  A theoretical analysis of how strain-specific viruses can control microbial species diversity.

Authors:  T Frede Thingstad; Selina Våge; Julia E Storesund; Ruth-Anne Sandaa; Jarl Giske
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-13       Impact factor: 11.205

3.  Lytic to temperate switching of viral communities.

Authors:  B Knowles; C B Silveira; B A Bailey; K Barott; V A Cantu; A G Cobián-Güemes; F H Coutinho; E A Dinsdale; B Felts; K A Furby; E E George; K T Green; G B Gregoracci; A F Haas; J M Haggerty; E R Hester; N Hisakawa; L W Kelly; Y W Lim; M Little; A Luque; T McDole-Somera; K McNair; L S de Oliveira; S D Quistad; N L Robinett; E Sala; P Salamon; S E Sanchez; S Sandin; G G Z Silva; J Smith; C Sullivan; C Thompson; M J A Vermeij; M Youle; C Young; B Zgliczynski; R Brainard; R A Edwards; J Nulton; F Thompson; F Rohwer
Journal:  Nature       Date:  2016-03-16       Impact factor: 49.962

4.  Uncovering Earth's virome.

Authors:  David Paez-Espino; Emiley A Eloe-Fadrosh; Georgios A Pavlopoulos; Alex D Thomas; Marcel Huntemann; Natalia Mikhailova; Edward Rubin; Natalia N Ivanova; Nikos C Kyrpides
Journal:  Nature       Date:  2016-08-17       Impact factor: 49.962

5.  Re-examination of the relationship between marine virus and microbial cell abundances.

Authors:  Charles H Wigington; Derek Sonderegger; Corina P D Brussaard; Alison Buchan; Jan F Finke; Jed A Fuhrman; Jay T Lennon; Mathias Middelboe; Curtis A Suttle; Charles Stock; William H Wilson; K Eric Wommack; Steven W Wilhelm; Joshua S Weitz
Journal:  Nat Microbiol       Date:  2016-01-25       Impact factor: 17.745

6.  Ecogenomics and potential biogeochemical impacts of globally abundant ocean viruses.

Authors:  Simon Roux; Jennifer R Brum; Bas E Dutilh; Shinichi Sunagawa; Melissa B Duhaime; Alexander Loy; Bonnie T Poulos; Natalie Solonenko; Elena Lara; Julie Poulain; Stéphane Pesant; Stefanie Kandels-Lewis; Céline Dimier; Marc Picheral; Sarah Searson; Corinne Cruaud; Adriana Alberti; Carlos M Duarte; Josep M Gasol; Dolors Vaqué; Peer Bork; Silvia G Acinas; Patrick Wincker; Matthew B Sullivan
Journal:  Nature       Date:  2016-09-21       Impact factor: 49.962

7.  Unveiling the role and life strategies of viruses from the surface to the dark ocean.

Authors:  Elena Lara; Dolors Vaqué; Elisabet Laia Sà; Julia A Boras; Ana Gomes; Encarna Borrull; Cristina Díez-Vives; Eva Teira; Massimo C Pernice; Francisca C Garcia; Irene Forn; Yaiza M Castillo; Aida Peiró; Guillem Salazar; Xosé Anxelu G Morán; Ramon Massana; Teresa S Catalá; Gian Marco Luna; Susana Agustí; Marta Estrada; Josep M Gasol; Carlos M Duarte
Journal:  Sci Adv       Date:  2017-09-06       Impact factor: 14.136

8.  Communication between viruses guides lysis-lysogeny decisions.

Authors:  Zohar Erez; Ida Steinberger-Levy; Maya Shamir; Shany Doron; Avigail Stokar-Avihail; Yoav Peleg; Sarah Melamed; Azita Leavitt; Alon Savidor; Shira Albeck; Gil Amitai; Rotem Sorek
Journal:  Nature       Date:  2017-01-18       Impact factor: 49.962

9.  Genetic and life-history traits associated with the distribution of prophages in bacteria.

Authors:  Marie Touchon; Aude Bernheim; Eduardo Pc Rocha
Journal:  ISME J       Date:  2016-03-25       Impact factor: 10.302

Review 10.  Computational approaches to predict bacteriophage-host relationships.

Authors:  Robert A Edwards; Katelyn McNair; Karoline Faust; Jeroen Raes; Bas E Dutilh
Journal:  FEMS Microbiol Rev       Date:  2015-12-09       Impact factor: 16.408

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  1 in total

1.  High cell densities favor lysogeny: induction of an H20 prophage is repressed by quorum sensing and enhances biofilm formation in Vibrio anguillarum.

Authors:  Demeng Tan; Mads Frederik Hansen; Luís Nunes de Carvalho; Henriette Lyng Røder; Mette Burmølle; Mathias Middelboe; Sine Lo Svenningsen
Journal:  ISME J       Date:  2020-04-09       Impact factor: 10.302

  1 in total

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