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. 2022 Jun 9;20:136. doi: 10.1186/s12915-022-01322-2

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Study design and features of epigenetic landscape of skeletal muscle in LW and MS. a Integrated analyses based on enhancer-promoter interaction maps and GWAS leading signals. b Pie charts showing that 75–76% enhancers chose to skip over their nearest gene to regulate target genes in a long-range manner. c GWAS leading signals of 15 muscle-associated traits. The first category was growth-related traits, including feed conversion ratio (FCR), average daily gain (ADG), days to 100 kg (AGE), body weight (BW), and breeding values of FCR and AGE. The second category was meat quality-related traits, consisting of meat color score, conductivity, drip loss, marbling score, moisture, pH, and intramuscular fat (IMF). The last category was carcass-associated traits, including loin muscle depth at 100 kg (LMD) and lean meat percentage at 100 kg (LMP/PCL)