Evidence map›Paper›PMID 38480585›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2024

Genetic factors underlying host resistance to Rhipicephalus microplus tick infestation in Braford cattle: a systems biology perspective.

Wanessa A Carvalho, Emanuelle B Gaspar, Robert Domingues, Luciana C A Regitano, Fernando F Cardoso

Abstract read
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In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2024. 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
2.1field-weighted citation impact, top 14% 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, 2 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

5 authors at 1 institution in 1 country.

Wanessa A CarvalhoEmbrapa Dairy Cattle, Juiz de Fora, Brazil. wanessa.carvalho@embrapa.br.ORCID 0000-0002-1346-5240
Emanuelle B GasparEmbrapa South Livestock, Bagé, Brazil.
Robert DominguesEmbrapa South Livestock, Bagé, Brazil.
Luciana C A RegitanoEmbrapa Southeast Livestock, São Carlos, Brazil.
Fernando F CardosoEmbrapa South Livestock, Bagé, Brazil.
Brazilian Agricultural Research Corporation · BR

Funding

CAPES (Coordination for the Improvement of Higher Level Personnel) PNPD 02645/09-2Conselho Nacional de Desenvolvimento Científico e Tecnológico 305102/2018-4Embrapa 02.09.07.004 and 02.13.10.002
6 · The paper itself

Abstract

Approximately 80% of the world's cattle are raised in regions with a high risk of tick-borne diseases, resulting in significant economic losses due to parasitism by Rhipicephalus (Boophilus) microplus. However, the lack of a systemic biology approach hampers a comprehensive understanding of tick-host interactions that mediate tick resistance phenotypes. Here, we conducted a genome-wide association study (GWAS) of 2933 Braford cattle and found 340 single-nucleotide polymorphisms (SNPs) associated with tick counts. Gene expression analyses were performed on skin samples obtained from previously tick-exposed heifers with extremely high or low estimated breeding values for R. microplus counts. Evaluations were performed both before and after artificial infestation with ticks. Differentially expressed genes were found within 1-Mb windows centered at significant SNPs from GWAS. A total of 330 genes were related to the breakdown of homeostasis that was induced by larval attachment to bovine skin. Enrichment analysis pointed to a key role of proteolysis and signal transduction via JAK/STAT, NFKB and WNT/beta catenin signaling pathways. Integrative analysis on matrixEQTL revealed two cis-eQTLs and four significant SNPs in the genes peptidyl arginine deiminase type IV (PADI4) and LOC11449251. The integration of genomic data from QTL maps and transcriptome analyses has identified a set of twelve key genes that show significant associations with tick loads. These genes could be key candidates to improve the accuracy of genomic predictions for tick resistance in Braford cattle.

Indexed as

Disease ResistanceGenome-Wide Association StudyPolymorphism, Single NucleotideRhipicephalusTick InfestationsAnimalsCattleCattle DiseasesFemaleHost-Parasite InteractionsQuantitative Trait LociSystems Biology

Identifiers

PMID38480585
OpenAlexW4392744857

What Socratic 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 Socratic graph.