Evidence map›Paper›PMID 31533607›Full record

ArticleGenetics, selection, evolution : GSE2019

A genome-wide association study explores the genetic determinism of host resistance to Salmonella pullorum infection in chickens.

Xinghua Li, Changsheng Nie, Yuchen Liu, Yu Chen, Xueze Lv, Liang Wang, Jianwei Zhang, Kaiyang Li, Yaxiong Jia, Liping Ban and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  15. Identification of the gut microbiota affectingFrontiers in microbiology · 2023
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  16. E3 Ligase FBXW7 FacilitatesFrontiers in cellular and infection microbiology · 2022
    Article
  17. 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

12 authors at 4 institutions in 1 country.

Xinghua LiState Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Changsheng NieState Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yuchen LiuState Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yu ChenBeijing Municipal General Station of Animal Science, Beijing, China.
Xueze LvBeijing Municipal General Station of Animal Science, Beijing, China.
Liang WangBeijing Municipal General Station of Animal Science, Beijing, China.
Jianwei ZhangBeijing Municipal General Station of Animal Science, Beijing, China.
Kaiyang LiBeijing Municipal General Station of Animal Science, Beijing, China.
Yaxiong JiaInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Liping BanDepartment of Grassland Science, China Agricultural University, Beijing, China. lipingban@cau.edu.cn.
Zhonghua NingState Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China. ningzhh@cau.edu.cn.
Lujiang QuState Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China. quluj@163.com.ORCID http://orcid.org/0000-0003-2748-9101
Beijing Meteorological Bureau · CNState Key Laboratory of Animal NutritionChina Agricultural University · CNChinese Academy of Agricultural Sciences · CN

Funding

Beijing Innovation Team of the Modern Agro-industry Technology Research System BAIC04-2018Beijing Innovation Team of the Modern Agro-industry Technology Research System BAIC04-2019Chinese Agricultural Research System CARS-41National Natural Science Foundation of China 31772581
6 · The paper itself

Abstract

backgroundSalmonella infection is a serious concern in poultry farming because of its impact on both economic loss and human health. Chicks aged 20 days or less are extremely vulnerable to Salmonella pullorum (SP), which causes high mortality. Furthermore, an outbreak of SP infection can result in a considerable number of carriers that become potential transmitters, thus, threatening fellow chickens and offspring. In this study, we conducted a genome-wide association study (GWAS) to detect potential genomic loci and candidate genes associated with two disease-related traits: death and carrier state.

methodsIn total, 818 birds were phenotyped for death and carrier state traits through a SP challenge experiment, and genotyped by using a 600 K high-density single nucleotide polymorphism (SNP) array. A GWAS using a single-marker linear mixed model was performed with the GEMMA software. RNA-sequencing on spleen samples was carried out for further identification of candidate genes.

resultsWe detected a region that was located between 33.48 and 34.03 Mb on chicken chromosome 4 and was significantly associated with death, with the most significant SNP (rs314483802) accounting for 11.73% of the phenotypic variation. Two candidate genes, FBXW7 and LRBA, were identified as the most promising genes involved in resistance to SP. The expression levels of FBXW7 and LRBA were significantly downregulated after SP infection, which suggests that they may have a role in controlling SP infections. Two other significant loci and related genes (TRAF3 and gga-mir-489) were associated with carrier state, which indicates a different polygenic determinism compared with that of death. In addition, genomic inbreeding coefficients showed no correlation with resistance to SP within each breed in our study.

conclusionsThe results of this GWAS with a carefully organized Salmonella challenge experiment represent an important milestone in understanding the genetics of infectious disease resistance, offer a theoretical basis for breeding SP-resistant chicken lines using marker-assisted selection, and provide new information for salmonellosis research in humans and other animals.

Indexed as

AnimalsChickensChromosome MappingDisease ResistanceFemaleGenetic MarkersGenome-Wide Association StudyGenotyping TechniquesHomozygoteMalePhenotypePolymorphism, Single NucleotidePoultry DiseasesSalmonella Infections, AnimalGenetic Markers

Identifiers

PMID31533607
PMCPMC6751821
OpenAlexW2973463414

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.