Evidence map›Paper›PMID 37822944›Full record

ArticleFrontiers in immunology2023

The evolution of antimicrobial peptides in Chiroptera.

Francisco X Castellanos, Diana Moreno-Santillán, Graham M Hughes, Nicole S Paulat, Nicolette Sipperly, Alexis M Brown, Katherine R Martin, Gregory M Poterewicz, Marisa C W Lim, Amy L Russell and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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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

15 authors at 8 institutions in 3 countries.

Francisco X CastellanosDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, United States.
Diana Moreno-SantillánDepartment of Integrative Biology, University of California, Berkeley, CA, United States.
Graham M HughesSchool of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
Nicole S PaulatDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, United States.
Nicolette SipperlyDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, United States.
Alexis M BrownDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, United States.
Katherine R MartinDepartment of Biology, University of Central Florida, Orlando, FL, United States.
Gregory M PoterewiczDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, United States.
Marisa C W LimDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, United States.
Amy L RussellDepartment of Biology, Grand Valley State University, Allendale, MI, United States.
Marianne S MooreCollege of Science and Mathematics, University of the Virgin Islands, St. Thomas, VI, United States.
Matthew G JohnsonDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, United States.
Angelique P CorthalsDepartment of Sciences, John Jay College of Criminal Justice, New York, NY, United States.
David A RayDepartment of Biological Sciences, Texas Tech University, Lubbock, TX, United States.
Liliana M DávalosDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, United States.
Stony Brook University · USTexas Tech University · USGrand Valley State University · USJohn Jay College of Criminal Justice · USUniversity College Dublin · IEUniversity of California, Berkeley · USUniversity of Central Florida · USUniversity of the Virgin Islands · VI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High viral tolerance coupled with an extraordinary regulation of the immune response makes bats a great model to study host-pathogen evolution. Although many immune-related gene gains and losses have been previously reported in bats, important gene families such as antimicrobial peptides (AMPs) remain understudied. We built an exhaustive bioinformatic pipeline targeting the major gene families of defensins and cathelicidins to explore AMP diversity and analyze their evolution and distribution across six bat families. A combination of manual and automated procedures identified 29 AMP families across queried species, with α-, β-defensins, and cathelicidins representing around 10% of AMP diversity. Gene duplications were inferred in both α-defensins, which were absent in five species, and three β-defensin gene subfamilies, but cathelicidins did not show significant shifts in gene family size and were absent in

Indexed as

beta-DefensinsChiropteraAnimalsAntimicrobial Cationic PeptidesAntimicrobial PeptidesCathelicidinsAntimicrobial Cationic PeptidesAntimicrobial Peptidesbeta-DefensinsCathelicidinsbioinformatics pipelinesdefensinsgene annotationinnate immunitynon-model organismstransposable elements

Identifiers

PMID37822944
PMCPMC10562630
OpenAlexW4387100714

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.