Evidence map›Paper›PMID 26426260›Full record

ArticlePloS one2015

Transcriptomic Analysis of Ovaries from Pigs with High And Low Litter Size.

Xiaodong Zhang, Long Huang, Tao Wu, Yifang Feng, Yueyun Ding, Pengfei Ye, Zongjun Yin

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 60 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.

Xiaodong ZhangKey Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding of Anhui province, College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui Province, People's Republic of China.
Long HuangKey Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding of Anhui province, College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui Province, People's Republic of China.
Tao WuKey Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding of Anhui province, College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui Province, People's Republic of China.
Yifang FengKey Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding of Anhui province, College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui Province, People's Republic of China.
Yueyun DingKey Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding of Anhui province, College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui Province, People's Republic of China.
Pengfei YeKey Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding of Anhui province, College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui Province, People's Republic of China.
Zongjun YinKey Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding of Anhui province, College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui Province, People's Republic of China.
Anhui Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Litter size is one of the most important economic traits for pig production as it is directly related to the production efficiency. Litter size is affected by interactions between multiple genes and the environment. While recent studies have identified some genes associated with prolificacy in pigs, transcriptomic studies of specific genes affecting litter size in porcine ovaries are rare. In order to identify candidate genes associated with litter size in swine, we assessed gene expression differences between the ovaries of Yorkshire pigs with extremely high and low litter sizes using the RNA-Seq method. A total of 1 243 differentially expressed genes were identified: 897 genes were upregulated and 346 genes were downregulated in high litter size ovary samples compared with low litter size ovary samples. A large number of these genes related to steroid hormone regulation in animal ovaries, including 59 Gene Ontology terms and 27 Kyoto Encyclopedia of Genes and Genomes pathways involved in steroid biosynthesis and ovarian steroidogenesis. From these differentially expressed genes, we identified a total of 11 genes using a bioinformatics screen that may be associated with high litter size in Yorkshire pigs. These results provide a list of new candidate genes for porcine litter size and prolificacy to be further investigated.

Indexed as

AnimalsBiomarkersComputational BiologyFemaleGene Expression ProfilingGene OntologyHigh-Throughput Nucleotide SequencingLitter SizeOvaryPhenotypeSequence Analysis, RNASwineBiomarkers

Identifiers

PMID26426260
PMCPMC4591126
OpenAlexW2147523188

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.