Evidence map›Paper›PMID 31816986›Full record

ArticleAnimals : an open access journal from MDPI2019

Transcriptome of Chicken Liver Tissues Reveals the Candidate Genes and Pathways Responsible for Adaptation into Two Different Climatic Conditions.

Himansu Kumar, Asankadyr U Iskender, Krishnamoorthy Srikanth, Hana Kim, Asankadyr T Zhunushov, Hyojun Chooq, Gul Won Jang, Youngjo Lim, Ki Duk Song, Jong Eun Park

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-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

9 citing papers in PubMed, 13 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

10 authors at 3 institutions in 2 countries.

Himansu KumarDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
Asankadyr U IskenderDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
Krishnamoorthy SrikanthDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
Hana KimDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
Asankadyr T ZhunushovInstitute of Biotechnology, National Academy of Science of Kyrgyzstan, Bishkek 720071, Kyrgyzstan.
Hyojun ChooqDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
Gul Won JangDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
Youngjo LimDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
Ki Duk SongThe Animal Molecular Genetics and Breeding Center, Department of Animal Biotechnology, JeonBuk National University, Jeonju 54896, Korea.
Jong Eun ParkDivision of Animal Genomics and Bioinformatics, National Institute of Animal Science, Wanju 55365, Korea.
National Institute of Animal Science · KRNational Academy of Sciences of the Republic of Kyrgyzstan · KGJeonbuk National University · KR

Funding

Rural Development Administration PJ0128202019
6 · The paper itself

Abstract

RNA sequencing was used to profile the liver transcriptome of a Korean commercial chicken (Hanhyup) at two different environments (Korea and Kyrgyzstan) to investigate their role during acclimatization into different climatic conditions. Ten samples from each location were analyzed to identify candidate genes that respond to environmental changes such as altitude, humidity, temperature, etc. Sequencing reads were preprocessed, aligned with the reference genome, assembled and expressions were estimated through bioinformatics approaches. At a false discovery rate (FDR) <0.05 and fold change (FC) ≥2, we found 315 genes were DE. Out of 315 DE genes, 174 and 141 were up- and down-regulated respectively in the Kyrgyz environment. Gene ontology (GO) enrichment analysis showed that the differentially expressed genes (DEGs) were associated with energy metabolism such as pyruvate and lactate metabolic processes, and glycerol catabolic process. Similarly, KEGG pathway analysis indicated pyruvate metabolism, glycolysis/gluconeogenesis, biosynthesis, citrate cycles were differentially enriched in the Kyrgyz environment. DEGs like

Indexed as

Hanhyup chickenliver tissuesPPAR pathwaytranscriptome

Identifiers

PMID31816986
PMCPMC6940799
OpenAlexW2993696031

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.