Evidence map›Paper›PMID 36969139›Full record

ArticleEvolutionary applications2023

Selecting for infectivity across metapopulations can increase virulence in the social microbe

Tatiana Dimitriu, Wided Souissi, Peter Morwool, Alistair Darby, Neil Crickmore, Ben Raymond

Open access · goldFull text read
In one paragraph

Article in Evolutionary applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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 3 institutions in 1 country.

Tatiana DimitriuCentre for Ecology and Conservation University of Exeter Penryn UK.ORCID https://orcid.org/0000-0002-1604-2622
Wided SouissiSchool of Life Sciences University of Sussex Brighton UK.
Peter MorwoolCentre for Ecology and Conservation University of Exeter Penryn UK.
Alistair DarbyCentre for Genomic Research, Institute of Integrative Biology University of Liverpool Liverpool UK.ORCID https://orcid.org/0000-0002-3786-6209
Neil CrickmoreSchool of Life Sciences University of Sussex Brighton UK.ORCID https://orcid.org/0000-0002-8448-0763
Ben RaymondCentre for Ecology and Conservation University of Exeter Penryn UK.ORCID https://orcid.org/0000-0002-3730-0985
University of Exeter · GBUniversity of Sussex · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Passage experiments that sequentially infect hosts with parasites have long been used to manipulate virulence. However, for many invertebrate pathogens, passage has been applied naively without a full theoretical understanding of how best to select for increased virulence and this has led to very mixed results. Understanding the evolution of virulence is complex because selection on parasites occurs across multiple spatial scales with potentially different conflicts operating on parasites with different life histories. For example, in social microbes, strong selection on replication rate within hosts can lead to cheating and loss of virulence, because investment in public goods virulence reduces replication rate. In this study, we tested how varying mutation supply and selection for infectivity or pathogen yield (population size in hosts) affected the evolution of virulence against resistant hosts in the specialist insect pathogen

Indexed as

Bacillus thuringiensisdirected evolutionevolution of virulencemutatorspublic goodssocial evolution

Identifiers

PMID36969139
PMCPMC10033855
OpenAlexW4319834677

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read67
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.