Evidence map›Paper›PMID 35236293›Full record

ArticleBMC genomics2022

Integrative analysis of transcriptomics and metabolomics to reveal the melanogenesis pathway of muscle and related meat characters in Wuliangshan black-boned chickens.

Tengfei Dou, Shixiong Yan, Lixian Liu, Kun Wang, Zonghui Jian, Zhiqiang Xu, Jingying Zhao, Qiuting Wang, Shuai Sun, Mir Zulqarnain Talpur and 16 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

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  11. Characterization of the Coding Sequence of theAnimals : an open access journal from MDPI · 2024
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  12. Transcriptomic Profiles ofAnimals : an open access journal from MDPI · 2024
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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

26 authors at 5 institutions in 3 countries.

Tengfei Dou *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Shixiong Yan *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Lixian Liu *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Kun Wang *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Zonghui Jian *Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Zhiqiang XuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Jingying ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Qiuting WangFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Shuai SunFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Mir Zulqarnain TalpurFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Xiaohua DuanFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Dahai GuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Yang HeFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Yanli DuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Alsoufi Mohammed AbdulwahidFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Qihua LiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Hua RongFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Weina CaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Zhengchang SuDepartment of Bioinformatics and Genomics, College of Computing and Informatics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Guiping ZhaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Ranran LiuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Sumei ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Ying HuangFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Marinus F W Te PasWageningen Livestock Research, Wageningen UR, Wageningen, 238050, The Netherlands. marinus.tepas@wur.nl.
Changrong GeFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China. gcrzal@126.com.
Junjing JiaFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China. junjingli2009@hotmail.com.
Yunnan Agricultural University · CNChinese Academy of Agricultural Sciences · CNInstitute of Animal Sciences · CNUniversity of North Carolina at Charlotte · USWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMelanin is an important antioxidant in food and has been used in medicine and cosmetology. Chicken meat with high melanin content from black-boned chickens have been considered a high nutritious food with potential medicinal properties. The molecular mechanism of melanogenesis of skeletal muscle in black-boned chickens remain poorly understood. This study investigated the biological gene-metabolite associations regulating the muscle melanogenesis pathways in Wuliangshan black-boned chickens with two normal boned chicken breeds as control.

resultsWe identified 25 differentially expressed genes and 11 transcription factors in the melanogenesis pathways. High levels of the meat flavor compounds inosine monophosphate, hypoxanthine, lysophospholipid, hydroxyoctadecadienoic acid, and nicotinamide mononucleotide were found in Wuliangshan black-boned chickens.

conclusionIntegrative analysis of transcriptomics and metabolomics revealed the dual physiological functions of the PDZK1 gene, involved in pigmentation and/or melanogenesis and regulating the phospholipid signaling processes in muscle of black boned chickens.

Indexed as

ChickensTranscriptomeAnimalsMeatMetabolomicsMuscle, SkeletalLysophospholipidMelanogenesisMetabolomicsMuscle metaboliteTranscriptomicsWuliangshang black-boned chickens

Identifiers

PMID35236293
PMCPMC8892760
OpenAlexW4220888902

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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.