Screening Candidate Genes Related to Meat Quality Traits in Sheep Based on Transcriptome

doi:10.7668/hbnxb.20192944

Abstract

Abstract:

The aim of this study was to analyze the variation in meat quality and expression of intramuscular genes between Tan sheep,Dorper sheep and Small-tailed han sheep,and to preliminarily reveal the molecular mechanisms underlying the differences in their meat quality traits and also provide a theoretical basis for the selection and improvement of other sheep breeds. The meat quality of 8-month-old Dorper sheep,Tan sheep and Small-tailed han sheep was analyzed and compared,and the Illumina HiSeq^TM 4000 platform was used to sequence and analyze the transcriptome of the longest dorsal muscle tissue to explore the regulatory genes associated with the differences in their meat quality traits. The results showed that a total of 820 differentially expressed genes were screened,including 99 between Dorper sheep and Tan sheep,436 between Dorper sheep and Small-tailed han sheep and 552 between Tan sheep and Small-tailed sheep. The results of GO functional enrichment analysis of the differential genes showed that each comparison group was significantly enriched in 224,517 and 657 GO entries;and the KEGG pathway enrichment analysis showed that DEGs were enriched in cAMP,MAPK,AMPK,purine metabolism,glycerophospholipid metabolism,amino acid and fatty acid metabolism and glycolysis/gluconeogenesis signalling pathways,further screening for candidate genes related to meat quality regulation and flavor substance metabolism such as FOS,PLA2G4E,LPIN1,AMPD1,AMPD3, NT5C1A,GPI,PFKM and PKM. Real-time fluorescence quantitative PCR validation of several randomly selected differential genes showed consistent expression trends with the transcriptome sequencing results,indicating the reliability of the sequencing results. These differential genes obtained in this study can be used as basic information for the breeding of new breeds(lines)of Ningxia high-quality meat sheep.

Key words: Sheep, Candidate genes, Transcriptome, Meat quality, qRT-PCR

LIANG Peng, ZHANG Wen, FENG Dengzhen, QIANG Hao, RONG Xuan, MENG Ke. Screening Candidate Genes Related to Meat Quality Traits in Sheep Based on Transcriptome[J]. Acta Agriculturae Boreali-Sinica, 2022, 37(4): 220-231. doi: 10.7668/hbnxb.20192944.

/ / Recommend / Download Citations

URL: http://www.hbnxb.net/EN/10.7668/hbnxb.20192944

http://www.hbnxb.net/EN/Y2022/V37/I4/220

Figures/Tables 10

Tab.1 Primers information

基因 Gene
FOS	F: TGAAAACCATGACGGGAGGC	179
	R: TTGGTCTGTCTCCGCTTGGA
MEGF10	F: CTCAGGATCTCGGGTTGTTCT	168
	R: CTCTTGCACAGTCACGGAGT
GSTM3	F: GTGCCGCTTTGAGGCTTTG	160
	R: CCTACGGACGGAATGGAACA
NT5DC3	F: GAAGAGGAGCACGGAAGAACT	195
	R: TCGTTGATGAGAAGGTCCCG
PPARGC1A	F: TCTGTGTCACTGTGGATTGGA	117
	R: CAGAGCAGCACACTCGAT
UCP3	F: CTTTCCACTGGACACAGCCA	262
	R: GGTAACGATGCTGGAGTGGTC
CKM	F: CTCTGGAAGGGGACTTGCAT	283
	R: CATGATGAAGGGGTGACCTGG
RASD1	F: CGCAAGTTCTACTGCATCCG	119
	R: AGGATGAACACGTCTCCGGT
ACTC1	F: CTCACGGATTACCTCA	108
	R: AGCAACATAGCACAGC
AMPD1	F: CCAGCTGAAGGAAAACCTATTG	281
	R: TCGATGAGGGACAGTTTGGT
MSTN	F: ACAACTTTTGCCCAAGGCTC	154
	R: TGCTAGAAGATCAGACTCCGT
CCN1	F: GTACAGCAGCCTGAAAAAGGG	124
	R: GCAGGAACCGCAGTATTTGG
MYF6	F: ATAACTGCCAAGGAAGGAGGGA	114
	R: CACGCAGGGGAGTTTGTGTT
GAPDH	F: TGACGCTCCCATGTTTGTGA	162
	R: GCGTGGACAGTGGTCATAAGT

Tab.2 Analysis of sheep meat quality difference

指标 Indexes	杜泊羊 Dorper sheep	滩羊 Tan sheep	小尾寒羊 Small-tailed han sheep
肌纤维直径/μm Muscle fibre diameter	32.57±2.01a	27.38±1.34b	31.12±1.72ab
肌纤维密度/(根/mm²) Muscle fibre density	568.10±83.72b	921.58±58.99a	785.18±74.50a
剪切力/N Shear force	26.35±4.17b	21.42±2.02b	45.59±4.30a
失水率/% Water loss rate	35.73±1.30b	32.13±2.13b	42.39±1.41a
pH_24h	5.70±1.57b	5.37±0.08c	6.27±0.65a
脂肪/% Fat	3.41±0.41b	5.42±0.83a	2.10±0.31b
肌苷酸/(mg/g) Inosinic acid	1.40±0.22b	1.90±0.11a	2.08±0.12a
肌苷/(mg/g) Inosine	0.61±0.08a	0.37±0.03b	0.59±0.01a

Tab.3 Sequencing data quality assessment

样品 Sample	原始序列/条 Raw reads	有效序列/条 Clean reads	有效碱基/G Clean bases	错误率/% Error rate	Q20/%	Q30/%	GC含量/% GC content	比对数据/条 Mapped read	比对率/% Mapped ratio
D60	99 261 912	99 058 366	14.86	0.03	97.83	93.95	47.12	90 560 190	91.42
D70	82 978 304	82 579 838	12.39	0.03	97.84	93.92	49.94	73 906 060	89.50
D80	89 387 546	88 961 590	13.34	0.03	97.87	94.03	49.56	80 077 223	90.01
T50	89 605 464	89 190 166	13.38	0.02	98.25	94.85	48.99	80 837 548	90.64
T60	86 259 834	85 850 880	12.88	0.02	98.04	94.38	49.31	77 110 014	89.82
T70	88 543 880	88 113 542	13.22	0.02	98.01	94.31	49.33	79 352 964	90.06
XH5X	87 534 812	87 099 330	13.06	0.03	97.63	93.49	51.39	78 176 442	89.76
XH6X	95 229 800	94 732 306	14.21	0.03	97.85	94.07	52.04	84 738 074	89.45
XH7X	92 927 370	92 457 270	13.87	0.02	98.01	94.39	51.64	82 515 584	89.25

Tab.4 Variable shear classification and quantity statistics for each comparison combination

类别 Category	D vs T		XHX vs T		XHX vs D
类别 Category	总数 Total	差异 Difference	总数 Total	差异 Difference	总数 Total	差异 Difference
外显子跳跃Skipped exon (SE)	15 967	135	16 135	151	16 884	181
外显子互斥Mutually exclusive exon (MXE)	2 061	19	1 932	16	2 132	19
5'端可变剪切Alternative 5' splice site (A5SS)	26	0	23	1	26	0
3'端可变剪切Alternative 3' splice site (A3SS)	153	1	135	2	146	3
内含子滞留Retained intron (RI)	32	1	33	0	34	0

Fig.1 Distribution of expression levels by sample The box plot for each region corresponds to five statistics(maximum, upper quartile,median,lower quartile and minimum from top to bottom).

Fig.2 Heat map of DEGs clustering The left side clusters the genes according to the degree of expression similarity,the top clusters each sample according to the degree of similarity of the expression profile,the expression is progressively up-regulated from blue to red,and the numbers are the relative expression after homogenization.

Fig.3 GO annotated classification of DEGs A:1.Cellular response to cadmium ion;2.Cellular response to ammonium ion;3.Benzene-containing compound metabolic process;4.Positive regulation of bone resorption;5.Positive regulation of bone remodeling;6.Mesodermal cell fate commitment;7.Response to cadmium ion;8.Nitrobenzene metabolic process;9.Detoxification of nitrogen compound;10.Cellular detoxification of nitrogen compound;11.Toxin biosynthetic process;12.Alkaloid metabolic process;13.Dibenzo-p-dioxin metabolic process;14.Oxidative deethylation;15.Positive regulation of tissue remodeling;16.Monoterpenoid metabolic process;17.Circadian regulation of translation;18.Cell fate commitment involved in formation of primary germ layer;19.Mesodermal cell differentiation;20.Xenobiotic catabolic process;21.AP1 complex;22.Small ribosomal subunit;23.Cell body fiber;24.Hemoglobin complex;25.Growing cell tip;26.New growing cell tip;27.Cell tip;28.Sperm fibrous sheath;29.Motile cilium;30.Chromaffin granule membrane;31.Manchette;32.Chromaffin granule;33.Intrinsic to membrane;34.Axon hillock;35.Cilium;36.Ribosomal subunit;37.Cytosolic small ribosomal subunit;38.Neuronal cell body membrane 39.Oxidoreductase activity,acting on CH or CH2 groups,quinone or similar compound as acceptor;40.Caffeine oxidase activity;41.Aromatase activity;42.Transferrin receptor activity;43.Pyrin domain binding;44.Cargo receptor activity;45.Kynurenine 3-monooxygenase activity;46.UDP-N-acetylglucosamine-lysosomal-enzyme N-acetylglucosamine phosphotransferase activity;47.[Heparan sulfate]-glucosamine 3-sulfotransferase 1 activity;48.Substance P receptor activity;49.Calcium-and calmodulin-responsive adenylate cyclase activity;50.RNA polymerase Ⅱ regulatory region sequence-specific DNA binding;51.RNA polymerase Ⅱ regulatory region DNA binding;52.Oxygen transporter activity;53.Structural constituent of cytoskeleton;54.AMP deaminase activity;55.Complement component C1q binding;56.Opsin binding;57.Sulfotransferase activity;58.Tachykinin receptor activity.B:1.Translation;2.Organic substance biosynthetic process;3.Macromolecule biosynthetic process;4.Biosynthetic process;5.Cellular biosynthetic process;6.Cellular macromolecule biosynthetic process;7.Gene expression;8.Cellular protein metabolic process;9.Protein metabolic process;10.Macromolecule metabolic process;11.Metabolic process;12.Protein folding;13.Ribosome;14.Ribonucleoprotein complex;15.Cytosolic ribosome;16.Ribosomal subunit;17.Cytosolic large ribosomal subunit;18.Myofibril;19.Contractile fiber;20.Large ribosomal subunit;21.Non-membrane-bounded organelle;22.Intracellular non-membrane-bounded organelle;23.Sarcomere;24.Cytosolic part;25.Macromolecular complex;26.Contractile fiber part;27.Cytosolic small ribosomal subunit;28.Polysomal ribosome;29.Small ribosomal subunit;30.I band;31.Structural constituent of ribosome;32.Structural molecule activity;33.Unfolded protein binding;34.rRNA binding.C:1.Cell chemotaxis;2.Cellular response to chemical stimulus;3.Protein folding;4.Striated muscle cell differentiation;5.Muscle cell differentiation;6.Respiratory burst involved in defense response;7.Translation;8.Muscle tissue development;9.Muscle structure development;10.Striated muscle tissue development;11.Sarcomere;12.Myofibril;13.Contractile fiber part;14.Contractile fiber;15.I band;16.Ribosome;17.Cytosolic ribosome;18.Extracellular region;19.Z disc;20.Cytosolic part;21.Small ribosomal subunit;22.Unfolded protein binding;23.Structural constituent of ribosome;24.Structural molecule activity;25.rRNA binding;26.Growth factor activity.Fig.A represents Group D vs T,Fig.B represents Group XHX vs D,Fig.C represents Group XHX vs T. The same as Fig.4,5.

Fig.4 KEGG enrichment analysis of DEGs A:1.Bile secretion;2.Tryptophan metabolism;3.Circadian entrainment;4.Ovarian steroidogenesis;5.Drug metabolism-cytochrome P450;6.Glycosaminoglycan biosynthesis-heparan sulfate/heparin;7.Amphetamine addiction;8.Circadian rhythm;9.cAMP signaling pathway;10.Insulin secretion;11.Linoleic acid metabolism;12.Estrogen signaling pathway;13.Cocaine addiction;14.Cholinergic synapse;15.ABC transporters;16.Vascular smooth muscle contraction;17.Long-term depression;18.Metabolism of xenobiotics by cytochrome P450;19.Dopaminergic synapse;20.Steroid hormone biosynthesis.B:1.Ribosome;2.Estrogen signaling pathway;3.Circadian entrainment;4.Insulin signaling pathway;5.2-Oxocarboxylic acid metabolism;6.Bladder cancer;7.Antigen processing and presentation;8.Gap junction;9.Amphetamine addiction;10.Glutamatergic synapse;11.Starch and sucrose metabolism;12.Legionellosis;13.Chronic myeloid leukemia;14.Tyrosine metabolism;15.p53 signaling pathway;16.Ovarian steroidogenesis;17.Alcoholism;18.Insulin secretion;19.ErbB signaling pathway;20.Arginine and proline metabolism.C:1.Ribosome;2.Focal adhesion;3.Legionellosis;4.Estrogen signaling pathway;5.Bladder cancer;6.Bile secretion;7.Regulation of actin cytoskeleton;8.Gastric acid secretion;9.Insulin signaling pathway;10.Glutamatergic synapse;11.Protein processing in endoplasmic reticulum;12.Arginine and proline metabolism;13.Amphetamine addiction;14.Calcium signaling pathway;15.Prostate cancer;16.ErbB signaling pathway;17.Thyroid hormone synthesis;18. Malaria;19.Purine metabolism;20.Platelet activation.

Tab.5 Results of partial enrichment of KEGG pathway with DEGs

KEGG通路名称KEGG pathway name	差异表达基因Differentially expressed gene
cAMP信号通路cAMP signaling pathway	FOS、CREM、ADCY8、ADCY1、GRIA3、DRD1、ATP1B4、ADCY10、ROCK2、PDE4C、CALM1、PDE4B、CREB3L3、CAMK2G
cGMP-PKG信号通路cGMP-PKG signaling pathway	CREM、ADCY8、ATP1B4、PLCB1、ADCY1、ROCK2、MYLK2、GUCY1A2、CALM1、CREB3L3、MYLK3、
TGF-β信号通路TGF-beta signaling pathway	SMAD1、MYC、THBS1、GDF6
MAPK信号通路MAPK signaling pathway	FOS、PLA2G4E、HSPB1、CACNG1、FLNC、MYC、HSPA1A、DUSP1、HSPA6、CACNA1I、GADD45G、FGF14、NFKB2、FLNC、DUSP10、MAP2K3
AMPK信号通路AMPK signaling pathway	CREM、PFKM、SLC2A4、PPARGC1A、GYS1、PFKFB2、CREB3L3、FBP2
PI3K-Akt信号通路PI3K-Akt signaling pathway	CREM、TNC、CDKN1A、HSP90AA1、THBS1、IL2RB、GYS1、MYC、PRLR、SPP1、COL11A2、COL11A1、MCL1、PDGFC、HSP90AB1、FGF14、RPS6、ITGB6、CDKN1A、CREB3L3、HSP90B1、LPAR1、FN1、CSF1
PPAR信号通路PPAR signaling pathway	FABP4、UBC、RXRG
嘌呤代谢Purine metabolism	PDE11A、AMPD3、ADCY8、AK4、ADCY1、NT5C1A、AMPD1、ADK、ADCY10、PKM、AK9、GUCY1A2、PDE4B、PDE4C、PAPSS2
甘油磷脂代谢Glycerophospholipid metabolism	PLA2G4E、DGKE、ETNPPL、CHAT、LPIN1、GPD2
氨基酸的生物合成Biosynthesis of amino acids	PFKM、CS、GOT1、IDH3A、PGAM1、PKM、GPT2
精氨酸和脯氨酸代谢Arginine and proline metabolism	MAOB、CKM、SMS、GOT1、ODC1、CKMT2、P4HA2、AMD1
肌动蛋白细胞骨架的调节Regulation of actin cytoskeleton	ENAH、DIAPH1、MRCL3、CYFIP2、MYL12B、ROCK2、SHC3、MYLK3、MYLK2、ITGB6、PARVA、FLNC、MRCL3、THBS1、TNC、MYL12B、PDGFC、COL1A1、CAPN2、SPP1、DIAPH1、FN1
脂肪细胞因子信号通路Adipocytokine signaling pathway	SOCS3、SLC2A4、PPARGC1A、RXRG
糖酵解/糖异生Glycolysis/Gluconeogenesis	PFKM、GPI、PGAM1、PKM、FBP2
脂肪酸代谢Fatty acid metabolism	ACOT7
肌醇磷酸代谢Inositol phosphate metabolism	PIK3C2G、PLCB1、PIP4K2B、ABCA1

Tab.5 Results of partial enrichment of KEGG pathway with DEGs

KEGG通路名称KEGG pathway name	差异表达基因Differentially expressed gene
cAMP信号通路cAMP signaling pathway	FOS、CREM、ADCY8、ADCY1、GRIA3、DRD1、ATP1B4、ADCY10、ROCK2、PDE4C、CALM1、PDE4B、CREB3L3、CAMK2G
cGMP-PKG信号通路cGMP-PKG signaling pathway	CREM、ADCY8、ATP1B4、PLCB1、ADCY1、ROCK2、MYLK2、GUCY1A2、CALM1、CREB3L3、MYLK3、
TGF-β信号通路TGF-beta signaling pathway	SMAD1、MYC、THBS1、GDF6
MAPK信号通路MAPK signaling pathway	FOS、PLA2G4E、HSPB1、CACNG1、FLNC、MYC、HSPA1A、DUSP1、HSPA6、CACNA1I、GADD45G、FGF14、NFKB2、FLNC、DUSP10、MAP2K3
AMPK信号通路AMPK signaling pathway	CREM、PFKM、SLC2A4、PPARGC1A、GYS1、PFKFB2、CREB3L3、FBP2
PI3K-Akt信号通路PI3K-Akt signaling pathway	CREM、TNC、CDKN1A、HSP90AA1、THBS1、IL2RB、GYS1、MYC、PRLR、SPP1、COL11A2、COL11A1、MCL1、PDGFC、HSP90AB1、FGF14、RPS6、ITGB6、CDKN1A、CREB3L3、HSP90B1、LPAR1、FN1、CSF1
PPAR信号通路PPAR signaling pathway	FABP4、UBC、RXRG
嘌呤代谢Purine metabolism	PDE11A、AMPD3、ADCY8、AK4、ADCY1、NT5C1A、AMPD1、ADK、ADCY10、PKM、AK9、GUCY1A2、PDE4B、PDE4C、PAPSS2
甘油磷脂代谢Glycerophospholipid metabolism	PLA2G4E、DGKE、ETNPPL、CHAT、LPIN1、GPD2
氨基酸的生物合成Biosynthesis of amino acids	PFKM、CS、GOT1、IDH3A、PGAM1、PKM、GPT2
精氨酸和脯氨酸代谢Arginine and proline metabolism	MAOB、CKM、SMS、GOT1、ODC1、CKMT2、P4HA2、AMD1
肌动蛋白细胞骨架的调节Regulation of actin cytoskeleton	ENAH、DIAPH1、MRCL3、CYFIP2、MYL12B、ROCK2、SHC3、MYLK3、MYLK2、ITGB6、PARVA、FLNC、MRCL3、THBS1、TNC、MYL12B、PDGFC、COL1A1、CAPN2、SPP1、DIAPH1、FN1
脂肪细胞因子信号通路Adipocytokine signaling pathway	SOCS3、SLC2A4、PPARGC1A、RXRG
糖酵解/糖异生Glycolysis/Gluconeogenesis	PFKM、GPI、PGAM1、PKM、FBP2
脂肪酸代谢Fatty acid metabolism	ACOT7
肌醇磷酸代谢Inositol phosphate metabolism	PIK3C2G、PLCB1、PIP4K2B、ABCA1

Fig.5 qRT-PCR results for DEGs

References 38

[1]	汤继顺. 利用转录组测序和蛋白质组学分析筛选绵羊多羔候选基因的研究[D]. 北京: 中国农业科学院, 2019.
	Tang J S. Study on screening polytocous candidate genes in sheep based on transcriptome sequencing and proteomics analysis[D]. Beijing: Chinese Academy of Agricultural Sciences, 2019.
[2]	Yousefi A R, Kohram H, Zare Shahneh A, Nik-khah A, Campbell A W. Comparison of the meat quality and fatty acid composition of traditional fat-tailed(Chall)and tailed(Zel)Iranian sheep breeds[J]. Meat Science, 2012, 92(4):417-422. doi: 10.1016/j.meatsci.2012.05.004. doi: 10.1016/j.meatsci.2012.05.004 pmid: 22652069
[3]	马梦斌, 罗瑞明, 李亚蕾. 基于矿物元素指纹差异的不同产地滩羊肉判别[J]. 食品科学, 2020, 41(6):316-321. doi: 10.7506/spkx1002-6630-20190218-097. doi: 10.7506/spkx1002-6630-20190218-097
	Ma M B, Luo R M, Li Y L. Discrimination of different geographical origins of tan sheep meat based on mineral element fingerprints[J]. Food Science, 2020, 41(6):316-321.
[4]	Wang X, Zhang Y Q, Zhang X Z, Wang D C, Jin G, Li B, Xu F, Cheng J, Zhang F, Wu S J, Rui S, He J, Zhang R H, Liu W Z. The comprehensive liver transcriptome of two cattle breeds with different intramuscular fat content[J]. Biochemical and Biophysical Research Communications, 2017, 490(3):1018-1025. doi: 10.1016/j.bbrc.2017.06.157. doi: S0006-291X(17)31289-5 pmid: 28669724
[5]	Sun L M, Bai M, Xiang L J, Zhang G S, Ma W, Jiang H Z. Comparative transcriptome profiling of longissimus muscle tissues from Qianhua Mutton Merino and Small Tail Han sheep[J]. Scientific Reports, 2016, 6:33586. doi: 10.1038/srep33586. doi: 10.1038/srep33586 URL
[6]	韩信嵘, 吴慧光, 吴江鸿, 王国富, 高树新. 基于转录组学的安格斯牛和中国西门塔尔牛脂肪沉积相关差异表达基因研究[J]. 华北农学报, 2020, 35(6):208-216. doi: 10.7668/hbnxb.20190684. doi: 10.7668/hbnxb.20190684
	Han X R, Wu H G, Wu J H, Wang G F, Gao S X. Study on differentially expressed genes related to fat deposition gene in Angus and Chinese Simmental cattle base on transcriptome[J]. Acta Agriculturae Boreali-Sinica, 2020, 35(6):208-216.
[7]	Arshad M S, Sohaib M, Ahmad R S, Nadeem M T, Imran A, Arshad M U, Kwon J H, Amjad Z. Ruminant meat flavor influenced by different factors with special reference to fatty acids[J]. Lipids in Health and Disease, 2018, 17(1):223. doi: 10.1186/s12944-018-0860-z. doi: 10.1186/s12944-018-0860-z URL
[8]	Ramalingam V, Song Z, Hwang I. The potential role of secondary metabolites in modulating the flavor and taste of the meat[J]. Food Research International(Ottawa,Ont), 2019, 122:174-182. doi: 10.1016/j.foodres.2019.04.007. doi: 10.1016/j.foodres.2019.04.007 URL
[9]	Bruno N E, Kelly K A, Hawkins R, Bramah-Lawani M, Amelio A L, Nwachukwu J C, Nettles K W, Conkright M D. Creb coactivators direct anabolic responses and enhance performance of skeletal muscle[J]. The EMBO Journal, 2014, 33(9):1027-1043. doi: 10.1002/embj.201386145. doi: 10.1002/embj.201386145 URL
[10]	Liu J Q, Xu Z Y, Wu W C, Wang Y Z, Shan T Z. Regulation role of CRTC3 in skeletal muscle and adipose tissue[J]. Journal of Cellular Physiology, 2018, 233(2):818-821. doi: 10.1002/jcp.25917. doi: 10.1002/jcp.25917 URL
[11]	Song Y, Altarejos J, Goodarzi M O, Inoue H, Guo X Q, Berdeaux R, Kim J H, Goode J, Igata M, Paz J C, Hogan M F, Singh P K, Goebel N, Vera L, Miller N, Cui J R, Jones M R, Consortium C, Consortium G, Chen Y D I, Taylor K D, Hsueh W A, Rotter J I, Montminy M. CRTC3 links catecholamine signalling to energy balance[J]. Nature, 2010, 468(7326):933-939. doi: 10.1038/nature09564. doi: 10.1038/nature09564 URL
[12]	Lee H L, Qadir A S, Park H J, Chung E, Lee Y S, Woo K M, Ryoo H M, kim H J, Baek J H. cAMP/Protein kinase A signaling inhibits Dlx5 expression via activation of CREB and subsequent C/EBP??? induction in 3T3-L1 preadipocytes[J]. International Journal of Molecular Sciences, 2018, 19(10):3161. doi: 10.3390/ijms19103161. doi: 10.3390/ijms19103161 URL
[13]	Wagner E F. Functions of AP1(Fos/Jun)in bone development[J]. Annals of the Rheumatic Diseases, 2002, 61(S2):40-42. doi: 10.1136/ard.61.suppl_2.ii40. doi: 10.1136/ard.61.suppl_2.ii40
[14]	成志敏, 张宁芳, 王媛媛, 乐宝玉, 张万锋, 宋鹏康, 郭晓红, 高鹏飞, 蔡春波, 曹果清, 李步高. 基于RNA-Seq技术筛选影响猪肌纤维性状的候选基因[J]. 畜牧兽医学报, 2019, 50(5):918-929. doi: 10.11843/j.issn.0366-6964.2019.05.003. doi: 10.11843/j.issn.0366-6964.2019.05.003
	Cheng Z M, Zhang N F, Wang Y Y, Yue B Y, Zhang W F, Song P K, Guo X H, Gao P F, Cai C B, Cao G Q, Li B G. Screening of candidate genes for muscle fiber characteristics in pig using RNA-seq[J]. Acta Veterinaria et Zootechnica Sinica, 2019, 50(5):918-929.
[15]	Sun W X, Wang H H, Jiang B C, Zhao Y Y, Xie Z R, Xiong K, Chen J. Global comparison of gene expression between subcutaneous and intramuscular adipose tissue of mature Erhualian pig[J]. Genetics and Molecular Research, 2013, 12(4):5085-5101. doi: 10.4238/2013.October.29.3. doi: 10.4238/2013.October.29.3 pmid: 24301769
[16]	Wu H, Olson E N. Activation of the MEF2 transcription factor in skeletal muscles from myotonic mice[J]. The Journal of Clinical Investigation, 2002, 109(10):1327-1333. doi: 10.1172/JCI15417. doi: 10.1172/JCI15417 URL
[17]	李涛. 两品种猪快慢肌纤维差异表达基因鉴定与通路分析[D]. 武汉: 华中农业大学, 2015. doi: 10.7666/d.Y2803710. doi: 10.7666/d.Y2803710
	Li T. dentification of different expressed genes and pathway analysis of fast and slow skeletal muscles between two pig breeds[D]. Wuhan: Huazhong Agricultural University, 2015.
[18]	魏立民, 晁哲, 刘海隆, 王峰, 郑心力, 刘圈炜, 黄丽丽, 邢漫萍, 孙瑞萍. 五指山猪和长白猪背最长肌差异基因的筛选与注释[J]. 基因组学与应用生物学, 2020, 39(6):2489-2497. doi: 10.13417/j.gab.039.002489. doi: 10.13417/j.gab.039.002489
	Wei L M, Chao Z, Liu H L, Wang F, Zheng X L, Liu Q W, Huang L L, Xing M P, Sun R P. Screening and annotation of differentially expressed genes in longissimus muscle of Wuzhishan pig and Landrace pig[J]. Genomics and Applied Biology, 2020, 39(6):2489-2497.
[19]	白莹, 张清阳, 韩海银, 张伟峰, 杨俊琦, 张辉, 刘玉芳. 猪PPARGC1A基因多态性与生长性状的关联分析及其表达[J]. 畜牧与兽医, 2020, 52(11):1-6.
	Bai Y, Zhang Q Y, Han H Y, Zhang W F, Yang J Q, Zhang H, Liu Y F. Association of polymorphisms of PPARGC1A with growth traits and its expression in pig breeds[J]. Animal Husbandry & Veterinary Medicine, 2020, 52(11):1-6.
[20]	闵小红. 猪PPARGC1A基因在不同组织和生长发育阶段中的差异表达[D]. 雅安: 四川农业大学, 2008.
	Min X H. The differences of PPARGC1A gene expression of different tissues and developmental stages in pigs[D]. Yaan: Sichuan Agricultural University, 2008.
[21]	刘玉芳, 郭思武, 张清阳, 张鑫, 杨俊琦, 白莹. 金华猪PPARGC1A基因克隆、生物信息学分析及组织表达研究[J]. 中国畜牧兽医, 2020, 47(3):696-705. doi: 10.16431/j.cnki.1671-7236.2020.03.006. doi: 10.16431/j.cnki.1671-7236.2020.03.006
	Liu Y F, Guo S W, Zhang Q Y, Zhang X, Yang J Q, Bai Y. Cloning,bioinformatics prediction and tissue expression analysis of PPARGC1A gene in Jinhua pigs[J]. China Animal Husbandry & Veterinary Medicine, 2020, 47(3):696-705.
[22]	刘远, 李文杨, 吴贤锋, 黄勤楼, 高承芳, 陈鑫珠, 张晓佩. 福清山羊与努比亚黑山羊背最长肌比较转录组分析[J]. 中国农业科学, 2019, 52(14):2525-2537. doi: 10.3864/j.issn.0578-1752.2019.14.011. doi: 10.3864/j.issn.0578-1752.2019.14.011
	Liu Y, Li W Y, Wu X F, Huang Q L, Gao C F, Chen X Z, Zhang X P. Transcriptome analysis of differentially gene expression associated with longissimus Doris tissue in Fuqing goat and Nubian black goat[J]. Scientia Agricultura Sinica, 2019, 52(14):2525-2537.
[23]	Yu H B, Zhao Z H, Yu X Z, Li J Y, Lu C Y, Yang R J. Bovine lipid metabolism related gene GPAM:Molecular characterization,function identification,and association analysis with fat deposition traits[J]. Gene, 2017, 609:9-18. doi: 10.1016/j.gene.2017.01.031. doi: 10.1016/j.gene.2017.01.031 URL
[24]	Yang B G, Yuan Y, Zhou D K, Ma Y H, Mahrous K F, Wang S Z, He Y M, Duan X H, Zhang W Y, E G X. Genome-wide selection signal analysis of Australian Boer goat reveals artificial selection imprinting on candidate genes related to muscle development[J]. Animal Genetics, 2021, 52(4):550-555. doi: 10.1111/age.13092. doi: 10.1111/age.13092 URL
[25]	吴垚群, 陈少康, 盛熙晖, 齐晓龙, 王相国, 倪和民, 郭勇, 王楚端, 邢凯. 用高通量测序技术研究松辽黑猪与长白猪背最长肌mRNA和lncRNA的差异表达[J]. 中国农业科学, 2020, 53(4):836-847. doi: 10.3864/j.issn.0578-1752.2020.04.015. doi: 10.3864/j.issn.0578-1752.2020.04.015
	Wu Y Q, Chen S K, Sheng X H, Qi X L, Wang X G, Ni H M, Guo Y, Wang C D, Xing K. Differential expression of mRNA and lncRNA in longissimus dorsi muscle of Songliao black pig and Landrace pig based on high-throughput sequencing technique[J]. Scientia Agricultura Sinica, 2020, 53(4):836-847.
[26]	田静, 王晶姝, 芦春艳, 张路培, 杨润军, 李俊雅, 赵志辉. 西门塔尔牛CS基因多态性与肉质性状的相关性分析[J]. 中国兽医学报, 2012, 32(10):1569-1571. doi: 10.16303/j.cnki.1005-4545.2012.10.032. doi: 10.16303/j.cnki.1005-4545.2012.10.032
	Tian J, Wang J S, Lu C Y, Zhang L P, Yang R J, Li J Y, Zhao Z H. Association between the polymorphism of CS and meat quality traits in Simmental cows[J]. Chinese Journal of Veterinary Science, 2012, 32(10):1569-1571.
[27]	夏琴, 崔悦悦, 邹辉, 瞿秋红, 江雨航, 蒋钦杨, 黄艳娜. 陆川猪SOCS3基因克隆及生物信息学分析[J]. 基因组学与应用生物学, 2018, 37(8):3269-3275. doi: 10.13417/j.gab.037.003269. doi: 10.13417/j.gab.037.003269
	Xia Q, Cui Y Y, Zou H, Qu Q H, Jiang Y H, Jiang Q Y, Huang Y N. The cloning and bioinformatics analysis of SOCS3 gene in Luchuan pig[J]. Genomics and Applied Biology, 2018, 37(8):3269-3275.
[28]	Yu S, Wang G, Liao J, Chen X. A functional mutation in the AMPD1 promoter region affects promoter activity and breast meat freshness in chicken[J]. Animal Genetics, 2021, 52(1):121-125. doi: 10.1111/age.13025. doi: 10.1111/age.13025 pmid: 33226134
[29]	王德凤, 杨永强, 韩勇. 山羊腺苷单磷酸脱氨酶1基因启动子区单核苷酸多态性研究[J]. 中国畜牧兽医, 2013, 40(7):127-132. doi: 10.3969/j.issn.1671-7236.2013.07.031. doi: 10.3969/j.issn.1671-7236.2013.07.031
	Wang D F, Yang Y Q, Han Y. Study on the SNPs of AMPD1 gene promoter region in goat[J]. China Animal Husbandry & Veterinary Medicine, 2013, 40(7):127-132.
[30]	Hu J, Yu P, Ding X L, Xu M L, Guo B P, Xu Y X. Genetic polymorphisms of the AMPD1 gene and their correlations with IMP contents in Fast Partridge and Lingshan chickens[J]. Gene, 2015, 574(2):204-209. doi: 10.1016/j.gene.2015.08.008. doi: 10.1016/j.gene.2015.08.008 URL
[31]	张会丰, 高广亮, 王海威, 谢友慧, 李辉, 王启贵. 品种和饲养模式对鸡肉风味性状及其候选基因mRNA表达水平的影响[J]. 农业生物技术学报, 2014, 22(8):1018-1026. doi: 10.3969/j.issn.1674-7968.2014.08.012. doi: 10.3969/j.issn.1674-7968.2014.08.012
	Zhang H F, Gao G L, Wang H W, Xie Y H, Li H, Wang Q G. Effects of different breeds and raising modes on meat flavors and candidate genes expression levels[J]. Journal of Agricultural Biotechnology, 2014, 22(8):1018-1026.
[32]	陈星, 杨宇, 龚萍, 叶胜强, 邓兵, 凌明湖, 杜康裕, 王丽霞. 连城白鸭与沔阳麻鸭胸肌转录组比较[J]. 中国畜牧杂志, 2021, 57(3):103-109. doi: 10.19556/j.0258-7033.20200512-03. doi: 10.19556/j.0258-7033.20200512-03
	Chen X, Yang Y, Gong P, Ye S Q, Deng B, Ling M H, Du K Y, Wang L X. Transcriptome analysis of differentially gene expression associated with breast muscle in Liancheng white duck and Mianyang shelduck[J]. Chinese Journal of Animal Science, 2021, 57(3):103-109.
[33]	罗玉龙, 刘畅, 李文博, 王柏辉, 窦露, 赵丽华, 杜瑞, 王政纲, 靳烨. 两种饲养方式下苏尼特羊肉中鲜味物质含量及相关调控基因表达量[J]. 食品科学, 2019, 40(13):8-13. doi: 10.7506/spkx1002-6630-20180629-518. doi: 10.7506/spkx1002-6630-20180629-518
	Luo Y L, Liu C, Li W B, Wang B H, Dou L, Zhao L H, Du R, Wang Z G, Jin Y. Effects of two different feeding patterns on umami substances and expression of related genes in sunit sheep meat[J]. Food Science, 2019, 40(13):8-13. doi: 10.1111/j.1365-2621.1975.tb03724.x URL
[34]	Zhang T, Lu H Z, Wang L, Yin M C, Yang L K. Specific expression pattern of IMP metabolism related-genes in chicken muscle between cage and free range conditions[J]. PLoS One, 2018, 13(8):e0201736. doi: 10.1371/journal.pone.0201736. doi: 10.1371/journal.pone.0201736 URL
[35]	Ma T, Xu L, Wang H Z, Chen J, Liu L, Chang G B, Chen G H. Mining the key regulatory genes of chicken inosine 5'-monophosphate metabolism based on time series microarray data[J]. Journal of Animal Science and Biotechnology, 2015, 6(1):21. doi: 10.1186/s40104-015-0022-3. doi: 10.1186/s40104-015-0022-3 URL
[36]	吴非凡, 茆建昱, 丁洛阳, 王梦芝. 影响羊肉pH变化的因素及其糖原代谢通路机制的研究进展[J]. 动物营养学报, 2020, 32(2):571-577. doi: 10.3969/j.issn.1006-267x.2020.02.012. doi: 10.3969/j.issn.1006-267x.2020.02.012
	Wu F F, Mao J Y, Ding L Y, Wang M Z. Research progress on influencing factors of mutton pH change and its glycogen metabolism pathway mechanism[J]. Chinese Journal of Animal Nutrition, 2020, 32(2):571-577.
[37]	李小金, 钱坤, 刘林清, 王重龙, 周杰. 基于RNA-seq技术对不同品种猪背最长肌差异表达基因的筛选与注释[J]. 西北农林科技大学学报(自然科学版), 2016, 44(6):1-8. doi: 10.13207/j.cnki.jnwafu.2016.06.001. doi: 10.13207/j.cnki.jnwafu.2016.06.001
	Li X J, Qian K, Liu L Q, Wang C L, Zhou J. Screening and annotation of differentially expressed genes in longissimus muscle of different pig breeds based on RNA-seq technology[J]. Journal of Northwest A&F University(Natural Science Edition), 2016, 44(6):1-8.
[38]	段艳宇, 周利华, 袁飞, 李琳, 麻骏武. 猪肌肉糖原酵解潜能及其组分与肉质、脂肪沉积和血液性状的相关性[J]. 江西农业大学学报, 2010, 32(6):1224-1229. doi: 10.13836/j.jjau.2010212. doi: 10.13836/j.jjau.2010212
	Duan Y Y, Zhou L H, Yuan F, Li L, Ma J W. Correlation of muscle glycolytic potential and its components with meat quality,fat deposition and blood indexes in pigs[J]. Acta Agriculturae Universitatis Jiangxiensis, 2010, 32(6):1224-1229.

Please choose a citation manager

Content to export