Evidence map›Paper›PMID 31319533›Full record

ArticleGenes2019

Transcriptome Analysis of Differentially Expressed Genes Related to the Growth and Development of the Jinghai Yellow Chicken.

Fuxiang Chen, Pengfei Wu, Manman Shen, Mingliang He, Lan Chen, Cong Qiu, Huiqiang Shi, Tao Zhang, Jiahong Wang, Kaizhou Xie and 3 more

Abstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
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  11. Genes · 2022
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  18. EffectiveInternational journal of molecular sciences · 2020
    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

13 authors.

Fuxiang ChenCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Pengfei WuCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Manman ShenCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Mingliang HeCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Lan ChenCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Cong QiuJiangsu Jinghai Poultry Group Co., Ltd., Nantong 226100, China.
Huiqiang ShiJiangsu Jinghai Poultry Group Co., Ltd., Nantong 226100, China.
Tao ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Jiahong WangUpper School, Rutgers Preparatory School, NJ 08873, USA.
Kaizhou XieCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Guojun DaiCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Jinyu WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Genxi ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China. gxzhang@yzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth traits are important traits in chickens. Compared to white feather broiler breeds, Chinese local broiler breeds have a slow growth rate. The main genes affecting the growth traits of local chickens in China are still unclear and need to be further explored. This experiment used fast-growth and slow-growth groups of the Jinghai Yellow chicken as the research objects. Three males and three females with similar body weights were selected from the two groups at four weeks old and eight weeks old, respectively, with a total of 24 individuals selected. After slaughter, their chest muscles were taken for transcriptome sequencing. In the differentially expressed genes screening, all of the genes obtained were screened by fold change ≥ 2 and false discovery rate (FDR) < 0.05. For four-week-old chickens, a total of 172 differentially expressed genes were screened in males, where there were 68 upregulated genes and 104 downregulated genes in the fast-growth group when compared with the slow-growth group. A total of 31 differentially expressed genes were screened in females, where there were 11 upregulated genes and 20 downregulated genes in the fast-growth group when compared with the slow-growth group. For eight-week-old chickens, a total of 37 differentially expressed genes were screened in males. The fast-growth group had 28 upregulated genes and 9 downregulated genes when compared with the slow-growth group. A total of 44 differentially expressed genes were screened in females. The fast-growth group had 13 upregulated genes and 31 downregulated genes when compared with the slow-growth group. Through gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, many genes were found to be related to cell proliferation and differentiation, muscle growth, and cell division such as

Indexed as

Gene Expression ProfilingGene Expression RegulationTranscriptomeAnimalsBody WeightChickensComputational BiologyGene OntologyGenomeGenomicsGrowth and Developmentanimal productchickendownregulatedgrowthreal-time PCRtranscriptomeupregulated

Identifiers

PMID31319533
PMCPMC6678745

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Registered trials

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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.