Go to Top Go to Bottom
Anim Biosci > Volume 30(8); 2017 > Article
Park, Han, Yoo, Lee, Kim, Baek, Son, Shin, Lim, and Cho: Genome scan linkage analysis identifies a major quantitative trait loci for fatty acid composition in longissimus dorsi muscle in an F2 intercross between Landrace and Korean native pigs



This study was conducted to locate quantitative trait loci (QTL) influencing fatty acid (FA) composition in a large F2 intercross between Landrace and Korean native pigs.


Eighteen FA composition traits were measured in more than 960 F2 progeny. All experimental animals were genotyped with 165 microsatellite markers located throughout the pig autosomes.


We detected 112 QTLs for the FA composition; Forty seven QTLs reached the genome-wide significant threshold. In particular, we identified a cluster of highly significant QTLs for FA composition on SSC12. QTL for polyunsaturated fatty acid on pig chromosome 12 (F-value = 97.2 under additive and dominance model, nominal p-value 3.6×10−39) accounted for 16.9% of phenotypic variance. In addition, four more QTLs for C18:1, C18:2, C20:4, and monounsaturated fatty acids on the similar position explained more than 10% of phenotypic variance.


Our findings of a major QTL for FA composition presented here could provide helpful information to locate causative variants to improve meat quality traits in pigs.


Fatty acids (FAs) composition plays a crucial role in pork quality. For example, high linoleic acid (C18:2) contents in meat, which is deposited in muscle phospholipid at a high level, is associated with low juiciness and lower consumer acceptance [1]. In addition, FA composition regulates the oxidative stability of pork, which in turn influences muscle color and meat flavor [2]. Ingested FAs could enhance the susceptibility to cardiovascular disease in humans. Thus, pork may be considered as unhealthy food. However, several of FAs such as oleic, linoleic, and linolenic FAs are associated with a hypocholesterolemic condition associated with a lower risk of suffering cardiovascular disease [3,4]. Therefore, FA composition is relevant to human health.
Two types of native pigs exist in Korea: i) the Jeju native pigs raised on the Jeju Island, and ii) native pigs raised on the Korean Peninsula. The Jeju native pig has unique genetic characteristics that differ from those of the native pig in the Korean Peninsula since it has been isolated from the main Korean Peninsula for more than 1,000 years (hereafter we will refer to Jeju native pig as ‘KNP’ in this paper). The KNP has a uniformly black coat color and its overall growth performance is low, as for most indigenous breeds. However, it has excellent meat quality such as a white colored fat, solid fat structure, good marbling, and red meat color [5]. Although Cho et al [6] recently reported several quantitative trait loci (QTLs) influencing meat quality related traits, studies on the genetic factors that influence the FA profile of KNP are still limited. Hence, this study presents the identification of novel and previously reported QTL influencing intramuscular FA composition in longissimus dorsi muscle in a large F2 intercross between Landrace and KNP pigs.


Experimental animals

A three-generation resource population was generated and managed as described by Cho et al [7]. In brief, 19 purebred KNPs were crossed to 17 purebred Landrace. A total of 91 F1 progeny and 1,105 F2 progeny (568 males and 537 females) from 79 full-sib families were generated. Whole experimental procedures were performed according to national and institutional guidelines and approved by the Ethical Committee of the National Institute of Animal Science.

Genotypes and phenotypes

All experimental animals were genotyped with 165 microsatellite markers located throughout the pig autosomes and linkage map construction was also according to Cho et al [7]. Eighteen of FA compositions were measured in F2 progeny. A full description of phenotypic analysis can be found in our previous publication [8].

Statistical and quantitative trait loci analyses

We used a web-based GridQTL program to conduct QTL analysis (http://www.gridqtl.org.uk/). An interval mapping model based on least squares regression was used for QTL analysis, including the cofactors of sex, batch, and carcass weight. The F-ratios were computed at 1-cM intervals across the 18 autosomes. At the peak QTL location, the additive and dominance coefficients of each F2 pig were extracted to obtain significance of each variable. After evaluating the nominal significance of the additive and dominance components, only the significant additive component was included for subsequent analysis. If only the dominance effect was significant, the dominance variable was included together with the additive variable, regardless of the significance of the additive coefficient. To address the multiple testing issue in QTL analysis, genome-wide empirical significant thresholds of the test statistic were obtained by 1,000 permutations of data [9]. Genome-wide thresholds for highly significant (α = 0.01) and significant linkage (α = 0.05) were employed. Suggestive linkage was employed using a 5% chromosome-wide threshold. The 1.5-logarithm of odds (LOD) drop method was used to estimate support intervals for identified QTL at the suggestive and significant levels of significance [10]. The verifications of novel QTL were done by comparing the flanking markers of previously reported QTL in the pig QTLdb (http://www.animalgenome.org/QTLdb/pig) with those of newly detected QTL in this study.


Basic statistics on the phenotypic measurements of the FA traits have been described in our previous report [8]. Oleic acids (C18:1, 40.9%) were the most abundant, followed by palmitic acids (C16:0, 25.0%), and stearic acids (C18:0, 13.7%) in longissimus dorsi muscle. The results of QTL analysis are summarized in Table 1 and Supplementary Table 1. A total of 112 QTLs were revealed across all pig autosomes. Forty seven QTLs reached the genome-wide significant threshold. In particular, we identified a cluster of highly significant QTLs for FA compositions on pig chromosome (SSC) 12 (Figure 1). Among these, the QTL for total polyunsaturated fatty acid (PUFA) was identified with an F-value of 97.2 (nominal p-value 3.6×10−39) and highest proportion of phenotypic variance was explained by this QTL (16.9%). This QTL hotspot on SSC 12 harbored additional extremely significant QTLs which explained more than 10% of phenotypic variances: the QTL for C18:2 was found with an F-value of 90.4 (nominal p-value 1.1×10−36) and accounted for 15.9% of phenotypic variance, while the QTL for C20:4 was found with an F-value of 159.7 (nominal p-value 5.7× 10−34) and explained 14.3% of phenotypic variance. Two more QTLs explained more than 10% of phenotypic variance: the QTL for total monounsaturated fatty acid (MUFA) was found with an F-value of 138.1 and explained 12.6% of phenotypic variance whereas the QTL for C18:1 was found with an F-value of 78.3 and explained 14.1% of phenotypic variance. At the similar position, eight QTLs for the percentage of C10:0, C12:0, C16:0, C17:0, C17:1, C18:0, C18:3, C20:0, and C20:1 were identified with highly significant threshold. We also mapped highly QTLs affecting total saturated fatty acid, and total unsaturated fatty acid on the similar region on SSC12. These QTLs accounted for up to 6.3% of phenotypic variance. With the exception of QTL for C20:1, detected significant QTLs on SSC12 were identified as novel. The clustering of highly significant FA composition QTL indicates that this chromosomal region would be expected to contain causative genes that impact on the fundamental biology of FA composition. Interestingly, this QTL region was co-localized with QTLs influencing meat quality traits (e.g., crude fat, meat color, etc.) with highly significance levels in our previous study [6].
Despite the large confidence interval for the detected QTLs, we would like to point out some apparent positional candidate genes. The QTL for C17:1, C18:1, C18:2, C20:4, MUFA, and PUFA maps to a region containing the fatty acid binding protein 3 (FABP3) gene on SSC6 [11].
The QTL regions on SSC8 (for 16:0 and C20:1) and 16 (for C12:0, C14:0, C17:1, C20:0, C20:0, C20:4) harbor the ELOVL fatty acid elongase 6 (ELOVL6) gene and the ELOVL fatty acid elongase 7 (ELOVL7) gene, respectively [12,13]. In the QTL region on SSC14, we found the stearoyl-CoA desaturase (SCD) gene. We previously reported that the SCD gene has a substantial effect on FA composition in this study population [8]. Additionally, acyl-CoA dehydrogenase, very long chain, which is involved in a fatty acid β-oxidation pathway, was found in the QTL interval on SSC12 [14].
In conclusion, the findings enhance our understanding of the genetic structure of FA composition in longissimus dorsi muscle in pig and contribute to further high-resolution QTL analyses to delineate genes affecting muscle FA profile.



We certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.


This study was supported by grants from Cooperative Research Program for Agriculture Science & Technology Development (Project No. PJ01010502 & PJ01262701) and Postdoctoral Fellowship Program of National Institute of Animal Science (2016), Rural Development Administration, Republic of Korea.

Figure 1
Quantitative trait loci (QTL) profiles for fatty acid composition traits on SSC12. The y-axis represents the F-value testing the hypothesis of a single QTL under additive model on a given position on the chromosome. The marker map with genetic distance between microsatellite (MS) markers in Kosambi cM is given on the x-axis. The horizontal line indicates the 5% genome-wide significant threshold.
Table 1
Summary of identified significant QTLs for fatty acid composition
SSC Trait Position F-ratio1) Inheritance of mode2) %Var3) Support interval4) Reference5)
1 C18:0 123 16.2* A 1.7 SW962-SW1301
C18:1 0 12.9* A 1.3 SW1514-SW1515
SFA 123 9.3* AD 1.9 SW803-SW1957
UFA 123 10.2** AD 2.1 SW803-SW1957
2 C16:0 22 13.7* A 1.4 SW2623-SW776 Ramayo-Caldas et al [15]
3 C20:1 1 16.0* A 1.6 APR22-SE47329
4 C10:0 94 13.8* A 1.4 SW1364-MP77
6 C20:4 79 13.6* A 1.4 APR8-S0059
7 C17:0 63 21.7** A 2.2 SW1369-SW147
C18:1 64 20.3** A 2.1 207G8-4-SW252 Sanchez et al [16]; Guo et al [17]
C18:2 63 13.4* A 1.4 SW1369-SW2108 Sanchez et al [16]; Guo et al [17]
MUFA 64 17.6** A 1.8 207G8-4-SW632 Guo et al [17]
8 C14:0 77 21.9** A 2.2 SW933-S0086
C16:0 117 32.3** A 3.3 S0069-SW790 Estellé et al [18]; Ramayo-Caldas et al [15]; Zhang et al [19]
C16:1 110 64.4** A 6.3 S0069-SW790 Estellé et al [18]; Ramayo-Caldas et al [15]; Zhang et al [19]
C18:0 96 20.5** A 2.1 SW444-S0144 Guo et al [17]; Uemoto et al [20]
C18:3 0 14.6* A 1.5 SW2410-SW1345
C20:0 141 13.7* A 1.4 S0144-KS188
C20:1 119 16.2* A 1.7 S0086-SW790
9 C16:0 145 13.2** AD 2.7 SW2093-SW749
C18:0 39 17.9** A 1.9 SW911-SW1434 Nii et al [21]; Uemoto et al [20]
C20:0 145 13.1** AD 2.7 SW2093-SW749
SFA 145 14.2** AD 2.9 SW2093-SW749
UFA 145 13.9** AD 2.8 SW2093-SW749
12 C10:0 102 64.8** A 6.3 S0106-SWR1021
C12:0 109 21.7** A 2.2 SW1962-SWR1021
C16:0 111 49.7** A 5.0 S0106-SWR1021
C17:0 110 57.9** A 5.7 S0106-SWR1021
C17:1 112 32.6** A 3.3 S0106-SWR1021
C18:0 99 18.4** A 1.9 SW1962-SWR1021
C18:1 101 78.3** AD 14.1 S0106-SWR1021
C18:2 101 90.4** AD 15.9 S0106-SWR1021
C18:3 100 24.0** AD 4.8 SW1962-SWR1021
C20:0 108 41.5** A 4.2 S0106-SWR1021
C20:1 71 44.6** A 4.4 SW957-SW1962 Muñoz et al [22]
C20:4 101 159.7** A 14.3 S0106-SWR1021
UFA 110 33.5** A 3.4 SW1962-SWR1021
MUFA 101 138.0** A 12.6 S0106-SWR1021
PUFA 101 97.2** AD 16.9 S0106-SWR1021 Zhang et al [19]
14 C16:1 69 50.2** A 5.0 SW2519-S0116 Sanchez et al [16]; Zhang et al [19]
C18:0 70 39.8** A 4.1 SW2519-S0116 Sanchez et al [16]; Uemoto et al [20]
C20:1 55 13.0 A 1.3 SW1975-SW886
SFA 73 14.4* A 1.5 SW2519-SW2515
UFA 72 16.0* A 1.7 SW2519-SW2515
16 C14:0 42 8.5* AD 1.7 SW419-SW2517 Uemoto et al [23]; Quintanilla et al [24]
C20:0 49 23.6** A 2.4 SW419-SW2517 Guo et al [17]; Zhang et al [19]

QTL, quantitative trait loci; SFA, saturated fatty acid; UFA, unsaturated fatty acid; MUFA, monounsaturated fatty acid; PUFA, polyunsaturated fatty acid; LOD, logarithm of odds.

1) Test statistic and level of significance: ** genome-wide 1%; * genome-wide 5%.

2) A represents additive effect; AD represents additive and dominance effects.

3) %Var is the reduction in residual variance of the F2 population obtained by inclusion of a QTL at the given position.

4) SI represents support interval of identified QTL estimated by the 1.5-LOD drop method.

5) Papers reporting QTL at similar positions in Pig QTLdb compared with QTL from this study.


1. Lawrence TLJ, Fowler VR. Growth of farm animals. 2nd edWallingford, UK: CABI Publishing; 2002. p. 1–347.

2. Wood JD, Enser M, Fisher AV, et al. Fat deposition, fatty acid composition and meat quality: A review. Meat Sci 2008; 78:343–58.
crossref pmid
3. Kurushima H, Hayashi K, Toyota Y, Kambe M, Kajiyama G. Comparison of hypocholesterolemic effects induced by dietary linoleic acid and oleic acid in hamsters. Atherosclerosis 1995; 114:213–21.
crossref pmid
4. Saha SS, Chakraborty A, Ghosh S, Ghosh M. Comparative study of hypocholesterolemic and hypolipidemic effects of conjugated linolenic acid isomers against induced biochemical perturbations and aberration in erythrocyte membrane fluidity. Eur J Nutr 2012; 51:483–95.
crossref pmid
5. Park JC, Kim YH, Jung HJ, et al. Comparison of meat quality and physicochemical characteristics of pork between Korean native black pigs, (KNBP) and Landrace by market weight. J Anim Sci Technol 2005; 47:91–8.
6. Cho IC, Yoo CK, Lee JB, et al. Genome-wide QTL analysis of meat quality-related traits in a large F2 intercross between Landrace and Korean native pigs. Genet Sel Evol 2015; 47:7
crossref pmid pmc
7. Cho IC, Park HB, Yoo CK, et al. QTL analysis of white blood cell, platelet and red blood cell-related traits in an F2 intercross between Landrace and Korean native pigs. Anim Genet 2011; 42:621–6.
crossref pmid
8. Maharani D, Park HB, Lee JB, et al. Association of the gene encoding stearoyl-CoA desaturase (SCD) with fatty acid composition in an intercross population between Landrace and Korean native pigs. Mol Biol Rep 2013; 40:73–80.
crossref pmid
9. Churchill GA, Doerge RW. Empirical threshold values for quantitative trait mapping. Genetics 1994; 138:963–71.
crossref pmid pmc pdf
10. Dupuis J, Siegmund D. Statistical methods for mapping quantitative trait loci from a dense set of markers. Genetics 1999; 151:373–86.
crossref pmid pmc pdf
11. Zimmerman AW, Veerkamp JH. New insights into the structure and function of fatty acid-binding proteins. Cell Mol Life Sci 2002; 59:1096–116.
crossref pmid
12. Naganuma T, Sato Y, Sassa T, Ohno Y, Kihara A. Biochemical characterization of the very long-chain fatty acid elongase ELOVL7. FEBS Lett 2011; 585:3337–41.
crossref pmid
13. Corominas J, Ramayo-Caldas Y, Puig-Oliveras A, et al. Polymorphism in the ELOVL6 gene is associated with a major QTL effect on fatty acid composition in pigs. PLoS One 2013; 8:e53687
crossref pmid pmc
14. Gregersen N, Andresen BS, Corydon MJ, et al. Mutation analysis in mitochondrial fatty acid oxidation defects: exemplified by acyl-CoA dehydrogenase deficiencies, with special focus on genotype-phenotype relationship. Hum Mutat 2001; 18:169–89.
crossref pmid
15. Ramayo-Caldas Y, Mercadé A, Castelló A, et al. Genome-wide association study for intramuscular fatty acid composition in an Iberian × Landrace cross. J Anim Sci 2012; 90:2883–93.
crossref pmid
16. Sanchez MP, Iannuccelli N, Basso B, et al. Identification of QTL with effects on intramuscular fat content and fatty acid composition in a Duroc × Large White cross. BMC Genet 2007; 8:55
crossref pmid pmc
17. Guo T, Ren J, Yang K, et al. Quantitative trait loci for fatty acid composition in longissimus dorsi and abdominal fat: results from a White Duroc × Erhualian intercross F2 population. Anim Genet 2009; 40:185–91.
crossref pmid
18. Estellé J, Fernández AI, Pérez-Enciso M, et al. A non-synonymous mutation in a conserved site of the MTTP gene is strongly associated with protein activity and fatty acid profile in pigs. Anim Genet 2009; 40:813–20.
crossref pmid
19. Zhang W, Zhang J, Cui L, et al. Genetic architecture of fatty acid composition in the longissimus dorsi muscle revealed by genome-wide association studies on diverse pig populations. Genet Sel Evol 2016; 48:5
crossref pmid pmc
20. Uemoto Y, Soma Y, Sato S, et al. Genome-wide mapping for fatty acid composition and melting point of fat in a purebred Duroc pig population. Anim Genet 2012; 43:27–34.
crossref pmid
21. Nii M, Hayashi T, Tani F, et al. Quantitative trait loci mapping for fatty acid composition traits in perirenal and back fat using a Japanese wild boar × Large White intercross. Anim Genet 2006; 37:342–47.
crossref pmid
22. Muñoz G, Alves E, Fernández A, et al. QTL detection on porcine chromosome 12 for fatty-acid composition and association analyses of the fatty acid synthase, gastric inhibitory polypeptide and acetyl-coenzyme A carboxylase alpha genes. Anim Genet 2007; 38:639–46.
crossref pmid
23. Uemoto Y, Sato S, Ohnishi C, et al. The effects of single and epistatic quantitative trait loci for fatty acid composition in a Meishan × Duroc crossbred population. J Anim Sci 2009; 87:3470–6.
crossref pmid
24. Quintanilla R, Pena RN, Gallardo D, et al. Porcine intramuscular fat content and composition are regulated by QTLs with muscle-specific effects. J Anim Sci 2011; 89:2963–71.
crossref pmid

Editorial Office
Asian-Australasian Association of Animal Production Societies(AAAP)
Room 708 Sammo Sporex, 23, Sillim-ro 59-gil, Gwanak-gu, Seoul 08776, Korea   
TEL : +82-2-888-6558    FAX : +82-2-888-6559   
E-mail : editor@animbiosci.org               

Copyright © 2024 by Asian-Australasian Association of Animal Production Societies.

Developed in M2PI

Close layer
prev next