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Genome scan linkage analysis identifies quantitative trait loci affecting serum clinical–chemical traits in Korean native chicken

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Abstract

Alterations in robustness- and health-related traits lead to physiological changes, such as changes in the serum clinical chemical parameters in individuals. Therefore, clinical–chemical traits can be used as biomarkers to examine the health status of chickens. The aim of the present study was to detect the quantitative trait loci (QTLs) influencing eight clinical–chemical traits (glucose, total protein, creatinine, high-density lipoprotein cholesterol, total cholesterol, glutamic oxaloacetic transaminase, glutamic pyruvic transaminase, and α-amylase) in an F1 nuclear families comprising 83 F0 founders and 585 F1 progeny of Korean native chickens. Genotypic data on 135 DNA markers representing 26 autosomes have been generated for this resource pedigree. The total length of the map was 2729.4 cM. We used a multipoint variance component linkage approach to identify QTLs for the traits. A significant QTL affecting serum α-amylase levels was identified on chicken chromosome (GGA) 7 [logarithm of odds (LOD) = 3.02, P value = 1.92 × 10−4]. Additionally, we detected several suggestive linkage signals for the levels of total cholesterol, glutamic oxaloacetic transaminase, glutamic pyruvic transaminase, and creatinine on GGA 4, 12, 13, and 15. In this study, serum α-amylase levels related significant QTL was mapped on GGA7 and cholesterol, glutamic oxaloacetic transaminase, glutamic pyruvic transaminase, and creatinine traits related suggestive QTLs were detected on GGA4, 12, 13 and 15, respectively. Further verification and fine mapping of these identified QTLs can provide valuable information for understanding the variations of clinical chemical trait in chickens.

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Acknowledgments

This work was supported by a grant from the Next-Generation BioGreen 21 Program (No. PJ00813301), Rural Development Administration, Republic of Korea and the Golden Seed Project (No.2013005042SB730), Ministry of Agriculture, Food and Rural Affairs (MAFRA), Republic of Korea.

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Correspondence to Jun-Heon Lee.

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The authors declare that there is no conflict of interests regarding the publication of this paper.

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D.-W. Seo and H.-B. Park contributed equally to this work.

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Seo, DW., Park, HB., Jin, S. et al. Genome scan linkage analysis identifies quantitative trait loci affecting serum clinical–chemical traits in Korean native chicken. Mol Biol Rep 43, 601–605 (2016). https://doi.org/10.1007/s11033-016-3994-y

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  • DOI: https://doi.org/10.1007/s11033-016-3994-y

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