Evidence map›Paper›PMID 32483317›Full record

ArticleHeredity2020

Infection dynamics, dispersal, and adaptation: understanding the lack of recovery in a remnant frog population following a disease outbreak.

Donald T McKnight, Leah J Carr, Deborah S Bower, Lin Schwarzkopf, Ross A Alford, Kyall R Zenger

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Donald T McKnightCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia. donald.mcknight@my.jcu.edu.au.ORCID http://orcid.org/0000-0001-8543-098X
Leah J CarrCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Deborah S BowerCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.ORCID http://orcid.org/0000-0003-0188-3290
Lin SchwarzkopfCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Ross A AlfordCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.
Kyall R ZengerCollege of Science and Engineering, James Cook University, Townsville, QLD, Australia.
James Cook University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging infectious diseases can cause dramatic declines in wildlife populations. Sometimes, these declines are followed by recovery, but many populations do not recover. Studying differential recovery patterns may yield important information for managing disease-afflicted populations and facilitating population recoveries. In the late 1980s, a chytridiomycosis outbreak caused multiple frog species in Australia's Wet Tropics to decline. Populations of some species (e.g., Litoria nannotis) subsequently recovered, while others (e.g., Litoria dayi) did not. We examined the population genetics and current infection status of L. dayi, to test several hypotheses regarding the failure of its populations to recover: (1) a lack of individual dispersal abilities has prevented recolonization of previously occupied locations, (2) a loss of genetic variation has resulted in limited adaptive potential, and (3) L. dayi is currently adapting to chytridiomycosis. We found moderate-to-high levels of gene flow and diversity (Fst range: <0.01-0.15; minor allele frequency (MAF): 0.192-0.245), which were similar to previously published levels for recovered L. nannotis populations. This suggests that dispersal ability and genetic diversity do not limit the ability of L. dayi to recolonize upland sites. Further, infection intensity and prevalence increased with elevation, suggesting that chytridiomycosis is still limiting the elevational range of L. dayi. Outlier tests comparing infected and uninfected individuals consistently identified 18 markers as putatively under selection, and several of those markers matched genes that were previously implicated in infection. This suggests that L. dayi has genetic variation for genes that affect infection dynamics and may be undergoing adaptation.

Indexed as

AnuraChytridiomycotaGenetics, PopulationMycosesAnimalsDisease OutbreaksGene FlowGenetic VariationPopulation Dynamics

Identifiers

PMID32483317
PMCPMC7426842
OpenAlexW3032225863

What OpenQuestion holds

Textmetadata
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.