Evidence map›Paper›PMID 40789080›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Comprehensive Genetic Map of Muscle Lipidome Reveals Novel Insights Into Flavor Variation in Ruminant Meat.

Xueying Zhang, Yuanyuan Kong, Jialei Chen, Ran Li, Zhongyu Wang, Yali Song, Tianshu Dai, Yuxin Fu, Beixiang Jiang, Jize Zeng and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

18 authors.

Xueying ZhangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Yuanyuan KongState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Jialei ChenState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Ran LiCollege of Animal Science and Technology, Northwest A&F University, Yangling, Shanxi, 712100, China.
Zhongyu WangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Yali SongState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Tianshu DaiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Yuxin FuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Beixiang JiangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Jize ZengState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Shengwei PeiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Yangkai LiuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Qianjie FengState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Weiwei FuState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Zehu YuanJoint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education, Yangzhou University, Yangzhou, Jiangsu, 225000, China.
Joram Mwashigadi MwacharoDryland Livestock Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, 5689, Ethiopia.
Fadi LiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.
Xiangpeng YueState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, 730000, China.ORCID https://orcid.org/0000-0002-0633-359X

Funding

China Postdoctoral Science Foundation 2024M751265Earmarked fund for China Agriculture Research System CARS-38Gansu Youth Science and Technology Fund Program 24JRRA440National Natural Science Foundation of China 32 072 713Precision Identification Project of Livestock and Poultry Genetic Resources 202105
6 · The paper itself

Abstract

Ruminant meat is an important component of human diets, valued for its unique flavor and nutritional density. Lipids play a dominant role in shaping meat flavor, yet their genetic and biochemical basis remains unexplored. Here, from the analysis of 434 sheep longissimus thoracis samples, the current study presents the first comprehensive lipid map of sheep meat, including 947 lipids. A substantial proportion of these lipids exhibit moderate-to-high heritability, with 51.6% surpassing a heritability of 0.2 and 15.8% exceeding 0.45. Metabolome-based genome-wide association analysis identifies 467 significant loci affecting 233 lipids, including 110 loci exhibiting pleiotropy. Notably, the levels of monogalactosyldiacylglycerols containing oleic (C18:1) and linoleic (C18:2) acids are specifically regulated by the expression of MBOAT1 and PAQR8 genes, respectively, while 13 triglycerides and one diglyceride are co-regulated by SH2D4A. The levels of phosphatidylethanolamine PE(20:4_20:0) are regulated by VPS53. Further examination of volatile compounds demonstrates that variations in these genetically controlled lipids significantly impact flavourant levels in cooked meat. Given the conservation of lipid profiles and genomes among ruminants, this study offers novel insights into the genetic architecture underlying meat lipid metabolism and provides a valuable resource for the targeted genetic improvement of ruminant meat flavor.

Indexed as

Lipid MetabolismMeatMuscle, SkeletalTasteAnimalsGenome-Wide Association StudyLipidomicsQuantitative Trait LociRuminantsSheepgenomicslipidomicsmeat flavormGWASsheep

Identifiers

PMID40789080
PMCPMC12561217

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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.