Evidence map›Paper›PMID 39422195›Full record

ArticleEcology letters2024

Genetic Independence of Naturally Correlated Variation in Resistance to Endemic and Novel Pathogens.

Michael E Hood, Emily L Bruns, Janis Antonovics, Isabel Davis, Michelle Launi, Sophia Bulzoni, Samantha E Rothberg

Abstract read
In one paragraph

Article in Ecology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Michael E HoodDepartment of Biology, Amherst College, Amherst, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4379-0711
Emily L BrunsDepartment of Biology, University of Maryland, College Park, Maryland, USA.
Janis AntonovicsDepartment of Biology, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0002-5189-1611
Isabel DavisDepartment of Biology, Amherst College, Amherst, Massachusetts, USA.
Michelle LauniDepartment of Biology, Amherst College, Amherst, Massachusetts, USA.
Sophia BulzoniDepartment of Biology, Amherst College, Amherst, Massachusetts, USA.
Samantha E RothbergDepartment of Biology, Amherst College, Amherst, Massachusetts, USA.

Funding

Resistance Variation to Endemic Disease as a Risk Factor to New Disease EmergenceR01GM140457 · NIGMS · AMHERST COLLEGE · PI BRUNS, EMILY, HOOD, MICHAEL E. · 2020 to 2023
$1.4M
NIGMS NIH HHS R01 GM140457NIGMS NIH HHS R01GM140457
6 · The paper itself

Abstract

The emergence of new diseases is an urgent concern, but hosts can also vary in resistance to pathogens that are novel to them, facilitating evolutionary rescue. However, little is known about the genetic source for polymorphic resistance to novel pathogens or its relationship to defences against endemic diseases. With anther-smut disease from wild plant populations, we used selection experiments and genetic analyses to show that resistances to novel and endemic pathogens are genetically independent, despite being positively correlated in nature. Moreover, novel-pathogen resistance presented a much simpler genetic basis and more rapid response to selection. We demonstrate that polymorphic resistance to a newly introduced disease is genetically determined and not an extension of defences against the related endemic pathogen, challenging the conventional view of nonhost resistance.

Indexed as

Disease ResistancePlant DiseasesGenetic VariationSelection, Geneticanther smutdisease emergencehost shiftMicrobotryumnonhost resistanceSilenespilloverzoonosis

Identifiers

PMID39422195
PMCPMC12744384

What OpenQuestion holds

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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.