Evidence map›Paper›PMID 32616896›Full record

ArticleHeredity2020

Pathogen-associated selection on innate immunity genes (TLR4, TLR7) in a neotropical rodent in landscapes differing in anthropogenic disturbance.

Alexander Christoph Heni, Julian Schmid, Andrea Rasche, Victor Max Corman, Christian Drosten, Simone Sommer

Open access · hybridAbstract 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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
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  8. Article
  9. Roles of TLR7 inFrontiers in cellular and infection microbiology · 2021
    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 2 countries.

Alexander Christoph HeniInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, 89069, Ulm, Germany.
Julian SchmidInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, 89069, Ulm, Germany.
Andrea RascheInstitute of Virology, Charité-Universitätsmedizin Berlin, Corporate Member of Free University, Humboldt-University and Berlin Institute of Health, Berlin, Germany.
Victor Max CormanInstitute of Virology, Charité-Universitätsmedizin Berlin, Corporate Member of Free University, Humboldt-University and Berlin Institute of Health, Berlin, Germany.ORCID http://orcid.org/0000-0002-3605-0136
Christian DrostenInstitute of Virology, Charité-Universitätsmedizin Berlin, Corporate Member of Free University, Humboldt-University and Berlin Institute of Health, Berlin, Germany.ORCID http://orcid.org/0000-0001-7923-0519
Simone SommerInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, 89069, Ulm, Germany. simone.sommer@uni-ulm.de.ORCID http://orcid.org/0000-0002-5148-8136
German Center for Infection Research · DESmithsonian Tropical Research Institute · PAUniversität Ulm · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DR 772/8-1Deutsche Forschungsgemeinschaft (German Research Foundation) SO 428/ 9-1Deutsche Forschungsgemeinschaft (German Research Foundation) SO 428/ 9-2
6 · The paper itself

Abstract

Toll-like receptors (TLRs) form part of the innate immune system and can recognize structurally conserved pathogen-associated molecular pattern (PAMP) molecules. Their functional importance in the resistance to pathogens has been documented in laboratory experimental settings and in humans. TLR diversity, however, has been rarely investigated in wildlife species. How the genetic diversity of TLRs is associated with various pathogens and how it is shaped by habitat disturbance are understudied. Therefore, we investigated the role of genetic diversity in the functionally important parts of TLR4 and TLR7 genes in resistance towards gastrointestinal nematodes and Hepacivirus infection. We chose a generalist study species, the rodent Proechimys semispinosus, because it is highly abundant in three Panamanian landscapes that differ in their degree of anthropogenic modification. We detected only two TLR7 haplotypes that differed by one synonymous single-nucleotide polymorphism (SNP) position. The TLR4 variability was higher, and we detected four TLR4 haplotypes that differed at one synonymous SNP and at three amino acid positions within the leucine-rich repeat region. Only TLR4 haplotypes had different frequencies in each landscape. Using generalized linear models, we found evidence that nematode loads and virus prevalence were influenced by both specific TLR4 haplotypes and landscape. Here, the variable "landscape" served as a surrogate for the important influential ecological factors distinguishing landscapes in our study, i.e. species diversity and host population density. Individuals carrying the common TLR4_Ht1 haplotype were less intensely infected by the most abundant strongyle nematode. Individuals carrying the rare TLR4_Ht3 haplotype were all Hepacivirus-positive, where those carrying the rare haplotype TLR4_Ht4 were less often infected by Hepacivirus than individuals with other haplotypes. Our study highlights the role of TLR diversity in pathogen resistance and the importance of considering immune genetic as well as ecological factors in order to understand the effects of anthropogenic changes on wildlife health.

Indexed as

Immunity, InnateRodentiaToll-Like Receptor 4Toll-Like Receptor 7AnimalsDisease ResistanceHaplotypesHepacivirusNematode InfectionsPanamaPolymorphism, Single NucleotideVirus DiseasesToll-Like Receptor 4Toll-Like Receptor 7

Identifiers

PMID32616896
PMCPMC7490709
OpenAlexW3040475650

What Socratic 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 Socratic graph.