Evidence map›Paper›PMID 41671841›Full record

ArticlePoultry science2026

Integrative GWAS and RNA-seq identify MYL9 as a key regulator of pullorum disease resistance in chickens.

Jiongwen Wu, Zhexia Fan, Xiaohuan Chao, Weiming Liang, Ruina Li, Shuya Chen, Cheng Fang, Qingbin Luo

Abstract read
In one paragraph

Article in Poultry science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jiongwen WuGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China.
Zhexia FanGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China.
Xiaohuan ChaoGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China.
Weiming LiangGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China.
Ruina LiGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China.
Shuya ChenGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China.
Cheng FangGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China.
Qingbin LuoGuangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510000, China; State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou 510000, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510000, China. Electronic address: qbluo@scau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pullorum disease, caused by Salmonella Pullorum, is a significant avian disease that poses a serious threat to poultry health. To elucidate the host immune response characteristics and key regulatory gene mechanisms during infection, this study investigated 2,100 White Plymouth Rock hens at 100 days of age. A rapid plate agglutination (RPA) test was conducted for screening, identifying 175 individuals as strongly positive and 42 as weakly positive. Immune factor levels in peripheral blood were measured in 375 birds, revealing that the expression levels of IgG, IL-6, and IL-8 were significantly higher in the positive group than in the negative group, indicating that Salmonella Pullorum infection induces the release of immune factors.Whole-genome resequencing (WGS) of the 375 samples identified 72 SNPs significantly associated with the agglutination phenotype through genome-wide association study (GWAS), and 289 candidate genes were screened. Transcription sequencing (RNA-seq) analysis identified 536 differential expressed genes (DEGs), which were enriched in pathways related to Salmonella infection, calcium signaling, and immune responses. Integrated analysis of the GWAS and RNA-seq results revealed five overlapping genes: MYL9, SYT1, KLHL38, C11orf87, and KCNH4. Among them, MYL9 was enriched in the Salmonella infection pathway and occupied a central node in the protein-protein interaction (PPI) network. Functional validation of MYL9 in HD11 cells showed that MYL9 significantly promoted the expression of IL-2, IL-3, IL-6, IFN-α, IFN-β, and TNF-α, and increased the protein levels of IFN-α, TNF-α, and IgG in HD11 cells. It indicates that MYL9 plays a role in Salmonella Pullorum by upregulating immune factors.

Indexed as

Avian ProteinsChickensDisease ResistanceMyosin Light ChainsPoultry DiseasesSalmonella Infections, AnimalAnimalsFemaleGenome-Wide Association StudyPolymorphism, Single NucleotideRNA-SeqSalmonellaAvian ProteinsMyosin Light ChainsGenome-wide association studyHD11MYL9RNA-seqSalmonella Pullorum

Identifiers

PMID41671841
PMCPMC12914420

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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.