Evidence map›Paper›PMID 25947228›Full record

ArticleBMC evolutionary biology2015

Protist predation can select for bacteria with lowered susceptibility to infection by lytic phages.

Anni-Maria Örmälä-Odegrip, Ville Ojala, Teppo Hiltunen, Ji Zhang, Jaana K H Bamford, Jouni Laakso

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Evolution and ecology of commensal gut protists: recent advances.Current opinion in genetics & development · 2025
    Review
  2. Impact of Predation by CiliateAntibiotics (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Experimental Evolution inMicroorganisms · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in cellular and infection microbiology · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Anni-Maria Örmälä-OdegripCentre of Excellence in Biological Interactions, Department of Biological and Environmental, University of Jyväskylä, P.O. Box, 35, 40014, Jyväskylä, Finland. anni-maria.ormala@jyu.fi.
Ville OjalaCentre of Excellence in Biological Interactions, Department of Biological and Environmental, University of Jyväskylä, P.O. Box, 35, 40014, Jyväskylä, Finland. ville.p.ojala@jyu.fi.
Teppo HiltunenDepartment of Food and Environmental Sciences/Microbiology and Biotechnology, University of Helsinki, P.O. Box 65, 00014, Helsinki, Finland. teppo.hiltunen@helsinki.fi.
Ji ZhangCentre of Excellence in Biological Interactions, Department of Biological and Environmental, University of Jyväskylä, P.O. Box, 35, 40014, Jyväskylä, Finland. letter.ji@gmail.com.
Jaana K H BamfordCentre of Excellence in Biological Interactions, Department of Biological and Environmental, University of Jyväskylä, P.O. Box, 35, 40014, Jyväskylä, Finland. jaana.bamford@jyu.fi.
Jouni LaaksoCentre of Excellence in Biological Interactions, Department of Biological and Environmental, University of Jyväskylä, P.O. Box, 35, 40014, Jyväskylä, Finland. jouni.laakso@jyu.fi.
University of Helsinki · FIUniversity of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsumer-resource interactions constitute one of the most common types of interspecific antagonistic interaction. In natural communities, complex species interactions are likely to affect the outcomes of reciprocal co-evolution between consumers and their resource species. Individuals face multiple enemies simultaneously, and consequently they need to adapt to several different types of enemy pressures. In this study, we assessed how protist predation affects the susceptibility of bacterial populations to infection by viral parasites, and whether there is an associated cost of defence on the competitive ability of the bacteria. As a study system we used Serratia marcescens and its lytic bacteriophage, along with two bacteriovorous protists with distinct feeding modes: Tetrahymena thermophila (particle feeder) and Acanthamoeba castellanii (surface feeder). The results were further confirmed with another study system with Pseudomonas and Tetrahymena thermophila.

resultsWe found that selection by protist predators lowered the susceptibility to infections by lytic phages in Serratia and Pseudomonas. In Serratia, concurrent selection by phages and protists led to lowered susceptibility to phage infections and this effect was independent from whether the bacteria shared a co-evolutionary history with the phage population or not. Bacteria that had evolved with phages were overall more susceptible to phage infection (compared to bacteria with history with multiple enemies) but they were less vulnerable to the phages they had co-evolved with than ancestral phages. Selection by bacterial enemies was costly in general and was seen as a lowered fitness in absence of phages, measured as a biomass yield.

conclusionsOur results show the significance of multiple species interactions on pairwise consumer-resource interaction, and suggest potential overlap in defending against predatory and parasitic enemies in microbial consumer-resource communities. Ultimately, our results could have larger scale effects on eco-evolutionary community dynamics.

Indexed as

Biological EvolutionBacteriophagesEcosystemPseudomonas fluorescensSerratia marcescensTetrahymena thermophila

Identifiers

PMID25947228
PMCPMC4425896
OpenAlexW1574396125

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.