Evidence map›Paper›PMID 37239409›Full record

ArticleGenes2023

Comparative Transcriptome Analyses of Leg Muscle during Early Growth between Geese (

Jun Tang, Hongjia Ouyang, Xiaomei Chen, Danli Jiang, Yunbo Tian, Yunmao Huang, Xu Shen

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jun TangCollege of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Hongjia OuyangCollege of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Xiaomei ChenCollege of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Danli JiangCollege of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Yunbo TianCollege of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Yunmao HuangCollege of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Xu ShenCollege of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Zhongkai University of Agriculture and Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Goose is an important poultry commonly raised for meat. The early growth performance of geese significantly influences their market weight and slaughter weight, affecting the poultry industry's economic benefits. To identify the growth surge between the Shitou goose and the Wuzong goose, we collected the early growth body traits from 0 to 12 weeks. In addition, we investigated the transcriptomic changes in leg muscles at the high growth speed period to reveal the difference between the two geese breeds. We also estimated the growth curve parameters under three models, including the logistic, von Bertalanffy, and Gompertz models. The results showed that except for body length and keel length, the best-fitting model between the body weight and body size of the Shitou and Wuzong was the logistic model. The growth turning points of Shitou and Wuzong were 5.954 and 4.944 weeks, respectively, and the turning point of their body weight was 1459.01 g and 478.54 g, respectively. Growth surge occurred at 2-9 weeks in Shitou goose and at 1-7 weeks in Wuzong goose. The body size traits of the Shitou goose and Wuzong goose showed a trend of rapid growth in the early stage and slow growth in the later stage, and the Shitou goose growth was higher than the Wuzong goose. For transcriptome sequencing, a total of 87 differentially expressed genes (DEGs) were identified with a fold change ≥ 2 and a false discovery rate < 0.05. Many DEGs have a potential function for growth, such as

Indexed as

GeeseGene Expression ProfilingAnimalsBody SizeBody WeightMusclesgoosegrowth curvegrowth performancetranscriptome

Identifiers

PMID37239409
PMCPMC10217984
OpenAlexW4378516898

What OpenQuestion 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 OpenQuestion graph.