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García-Torres S, Cabeza de Vaca M, Tejerina D, Romero-Fernández MP, Ortiz A, Franco D, Sentandreu MA, Oliván M. Assessment of Stress by Serum Biomarkers in Calves and Their Relationship to Ultimate pH as an Indicator of Meat Quality. Animals (Basel) 2021; 11:ani11082291. [PMID: 34438748 PMCID: PMC8388433 DOI: 10.3390/ani11082291] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/26/2021] [Accepted: 07/31/2021] [Indexed: 01/04/2023] Open
Abstract
Simple Summary The routine handling of cattle during the rearing period and during antemortem events is an inevitable source of animal stress that can have negative impacts on the quality of meat, resulting in economic losses for the meat industry. This study assesses the breed, the farm management system, and the pre-mortem handling of animals and their impact on serum stress biomarkers, as well as their relationship with pHu. The findings indicate that breed, together with farm management, had the highest impact; cortisol, lactate, and serum amyloid A were identified as potential stress biomarkers in relation to pHu. We believe that these findings might help in the assessment of stress in cattle at the stage prior to slaughter. Abstract Seventy-eight calves from Asturiana de los Valles, Retinta, and Rubia Gallega breeds, under extensive and intensive farm systems and animal mixing and non-mixing conditions, and during the transport and lairage in slaughterhouses, were studied. This research aimed to study the effect of breed, farm system and mixing conditions on serum biomarkers (cortisol, lactate, glucose, serum amyloid A, haptoglobin, and C-reactive protein) and their relationship with pHu at slaughter time, and to evaluate the response of the serum biomarkers of calves throughout fattening period. Moreover, this study aims to evaluate the response of the biomarkers in each breed during the fattening period. At slaughter time, cortisol and lactate were affected by BreedxFarm; Retinta showed the opposite pattern to the others and revealed the highest glucose in extensive farm systems. Rubia Gallega in mixing revealed the highest Amyloid A and haptoglobin. Extensive calves in mixing conditions showed the highest glucose. There was a relationship among the variables cortisol, lactate, Amyloid A, and pHu. Slaughter time was a major stressor, and the stress response was mainly affected by breed. At slaughter, several biomarkers should be considered.
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Affiliation(s)
- Susana García-Torres
- Meat Quality Area, Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX-La Orden), Extremadura Regional Council, 06187 Guadajira, Badajoz, Spain; (M.C.d.V.); (D.T.); (M.P.R.-F.); (A.O.)
- Correspondence:
| | - María Cabeza de Vaca
- Meat Quality Area, Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX-La Orden), Extremadura Regional Council, 06187 Guadajira, Badajoz, Spain; (M.C.d.V.); (D.T.); (M.P.R.-F.); (A.O.)
| | - David Tejerina
- Meat Quality Area, Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX-La Orden), Extremadura Regional Council, 06187 Guadajira, Badajoz, Spain; (M.C.d.V.); (D.T.); (M.P.R.-F.); (A.O.)
| | - María Pilar Romero-Fernández
- Meat Quality Area, Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX-La Orden), Extremadura Regional Council, 06187 Guadajira, Badajoz, Spain; (M.C.d.V.); (D.T.); (M.P.R.-F.); (A.O.)
| | - Alberto Ortiz
- Meat Quality Area, Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX-La Orden), Extremadura Regional Council, 06187 Guadajira, Badajoz, Spain; (M.C.d.V.); (D.T.); (M.P.R.-F.); (A.O.)
| | - Daniel Franco
- Centro Tecnológico de la Carne de Galicia, Av. de Galicia Nº 4, Parque Tecnológico de Galicia, 32900 San Cibrao das Viñas, Ourense, Spain;
| | - Miguel Angel Sentandreu
- Instituto de Agroquímica y Tecnología de Alimentos (CSIC), Avenida Agustín Escardino, 7, 46980 Paterna, Valencia, Spain;
| | - Mamen Oliván
- Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Ctra AS-267 PK19, 33300 Villaviciosa, Asturias, Spain;
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Niu Q, Zhang T, Xu L, Wang T, Wang Z, Zhu B, Zhang L, Gao H, Song J, Li J, Xu L. Integration of selection signatures and multi-trait GWAS reveals polygenic genetic architecture of carcass traits in beef cattle. Genomics 2021; 113:3325-3336. [PMID: 34314829 DOI: 10.1016/j.ygeno.2021.07.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 05/05/2021] [Accepted: 07/22/2021] [Indexed: 11/18/2022]
Abstract
Carcass merits are widely considered as economically important traits affecting beef production in the beef cattle industry. However, the genetic basis of carcass traits remains to be well understood. Here, we applied multiple methods, including the Composite of Likelihood Ratio (CLR) and Genome-wide Association Study (GWAS), to explore the selection signatures and candidate variants affecting carcass traits. We identified 11,600 selected regions overlapping with 2214 candidate genes, and most of those were enriched in binding and gene regulation. Notably, we identified 66 and 110 potential variants significantly associated with carcass traits using single-trait and multi-traits analyses, respectively. By integrating selection signatures with single and multi-traits associations, we identified 12 and 27 putative genes, respectively. Several highly conserved missense variants were identified in OR5M13D, NCAPG, and TEX2. Our study supported polygenic genetic architecture of carcass traits and provided novel insights into the genetic basis of complex traits in beef cattle.
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Affiliation(s)
- Qunhao Niu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Tianliu Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ling Xu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Tianzhen Wang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zezhao Wang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Bo Zhu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lupei Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Huijiang Gao
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jiuzhou Song
- Department of Animal and Avian Science, University of Maryland, College Park, USA
| | - Junya Li
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Lingyang Xu
- Key Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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Poleti MD, Moncau CT, Silva-Vignato B, Rosa AF, Lobo AR, Cataldi TR, Negrão JA, Silva SL, Eler JP, de Carvalho Balieiro JC. Label-free quantitative proteomic analysis reveals muscle contraction and metabolism proteins linked to ultimate pH in bovine skeletal muscle. Meat Sci 2018; 145:209-219. [DOI: 10.1016/j.meatsci.2018.06.041] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 06/28/2018] [Accepted: 06/28/2018] [Indexed: 12/23/2022]
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Liu D, Chen Z, Zhang Z, Sun H, Ma P, Zhu K, Liu G, Wang Q, Pan Y. Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2018; 32:320-333. [PMID: 30056674 PMCID: PMC6409473 DOI: 10.5713/ajas.18.0204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 06/22/2018] [Indexed: 12/30/2022]
Abstract
Objective The Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genetic mechanisms influencing economically important traits, especially diseases that have huge impact on the yield and quality of milk as well as reproduction. Methods In our study, we detected the structural variations of 1,092 Shanghai Holstein cows by using next-generation sequencing. We used the DELLY software to identify deletions and insertions, cn.MOPS to identify copy-number variants (CNVs). Furthermore, we annotated these structural variations using different bioinformatics tools, such as gene ontology, cattle quantitative trait locus (QTL) database and ingenuity pathway analysis (IPA). Results The average number of high-quality reads was 3,046,279. After filtering, a total of 16,831 deletions, 12,735 insertions and 490 CNVs were identified. The annotation results showed that these mapped genes were significantly enriched for specific biological functions, such as disease and reproduction. In addition, the enrichment results based on the cattle QTL database showed that the number of variants related to milk and reproduction was higher than the number of variants related to other traits. IPA core analysis found that the structural variations were related to reproduction, lipid metabolism, and inflammation. According to the functional analysis, structural variations were important factors affecting the variation of different traits in Shanghai Holstein cattle. Our results provide meaningful information about structural variations, which may be useful in future assessments of the associations between variations and important phenotypes in Shanghai Holstein cattle. Conclusion Structural variations identified in this study were extremely different from those of previous studies. Many structural variations were found to be associated with mastitis and reproductive system diseases; these results are in accordance with the characteristics of the environment that Shanghai Holstein cattle experience.
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Affiliation(s)
- Dengying Liu
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Zhenliang Chen
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Zhe Zhang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Hao Sun
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Peipei Ma
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Kai Zhu
- Shanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China
| | - Guanglei Liu
- Shanghai Dairy Cattle Breeding Centre Co., Ltd, Shanghai 201901, China
| | - Qishan Wang
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
| | - Yuchun Pan
- Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.,Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai 200240, China
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Rosa AF, Moncau CT, Poleti MD, Fonseca LD, Balieiro JC, Silva SL, Eler JP. Proteome changes of beef in Nellore cattle with different genotypes for tenderness. Meat Sci 2018; 138:1-9. [DOI: 10.1016/j.meatsci.2017.12.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 12/12/2017] [Accepted: 12/13/2017] [Indexed: 12/14/2022]
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Niu L, Chen Q, Hua C, Geng Y, Cai L, Tao S, Ni Y, Zhao R. Effects of chronic dexamethasone administration on hyperglycemia and insulin release in goats. J Anim Sci Biotechnol 2018; 9:26. [PMID: 29568520 PMCID: PMC5855938 DOI: 10.1186/s40104-018-0242-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 02/01/2018] [Indexed: 11/10/2022] Open
Abstract
Background Dexamethasone (Dex), a synthetic glucocorticoid, is among the most commonly used drugs worldwide in animals and humans as an anti-inflammatory and immunosuppressive agent. GC has profound effects on plasma glucose level and other metabolic conditions. However, the effect of prolonged use of Dex on glucose metabolism in ruminants is still unclear. Results Ten goats were randomly assigned to two groups: the control goats were injected with saline, and the Dex-treated goats were intramuscularly injected daily for 21 d with 0.2 mg/kg Dex. The results showed that plasma glucose and insulin concentrations were significantly increased after Dex administration (P < 0.05). Additionally, the content of hepatic glycogen was also markedly increased in Dex-treated goats (P < 0.01), while the content of glycogen in dorsal longissimus was unchanged by Dex (P > 0.05). The expression of several key genes, involved in blood glucose regulation, was detected by real-time PCR in the small intestine, skeletal muscle and liver. The expression of glucose transporter type 2 (GLUT2), sodium-glucose transporter 1 (SGLT1) and sodium-potassium ATPase (Na-K/ATPase) in the small intestine were generally increased by Dex, and GLUT2 mRNA expression was significantly up-regulated (P < 0.05). In liver, the expression of genes involved in gluconeogenesis including glucose-6-phosphatase catalytic subunit (G6PC), cytosolic form of phosphoenolpyruvate carboxykinase (PCK1) and pyruvate carboxylase (PC), were significantly down-regulated by Dex. However, the protein expression levels of PCK1 & PCK2 were significantly increased by Dex, suggesting a post-transcriptional regulation. In dorsal longissimus, the mRNA expression of genes associated with gluconeogenesis and the insulin signaling pathway were generally up-regulated by Dex, but the mRNA expression of two markers of muscle atrophy, namely F-box protein 32 (FBXO32/Atrogin1) and muscle RING-finger protein 1 (MuRF1), was not altered by Dex. Conclusions Taken together, these results indicate that chronic administration of a low dosage of Dex induces hyperglycemia mainly through gluconeogenesis activation in the goat liver.
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Affiliation(s)
- Liqiong Niu
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
| | - Qu Chen
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
| | - Canfeng Hua
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
| | - Yali Geng
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
| | - Liuping Cai
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
| | - Shiyu Tao
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
| | - Yingdong Ni
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
| | - Ruqian Zhao
- Key Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing, 210095 People's Republic of China
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Zhang L, Zhou J, Jing Z, Xiao Y, Sun Y, Wu Y, Sun H. Glucocorticoids Regulate the Vascular Remodeling of Aortic Dissection Via the p38 MAPK-HSP27 Pathway Mediated by Soluble TNF-RII. EBioMedicine 2017; 27:247-257. [PMID: 29287621 PMCID: PMC5828293 DOI: 10.1016/j.ebiom.2017.12.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 11/23/2017] [Accepted: 12/04/2017] [Indexed: 01/18/2023] Open
Abstract
Increasing researches suggest that inflammatory response is involved in vascular remodeling, which plays an important role in the development of aortic dissection. Glucocorticoids have been widely used in the clinical practice due to its powerful and effective anti-inflammatory property. However, the potential relationship between glucocorticoids and aortic dissection was still obscure. This study sought to elucidate the effect of glucocorticoids on the development and progression of aortic dissection, and the potential mechanism involved. Serum cortisol in aortic dissection patients was significantly higher than that in non-ruptured aortic aneurysm patients and healthy volunteers by radioimmunoassay. In modified C57BL/6 mouse model of aortic dissection, glucocorticoids reduced the incidence of aortic dissection and protected the collagen from degradation. Furthermore, glucocorticoids inhibited the TNF-α secretion of THP-1 monocytes, decreased the migration, phenotype switch from contractile type to synthetic type, and the apoptosis of human aortic smooth muscle cells induced by TNF-α. Finally, TNF-sRII was identified as an important cytokine in cellular interaction that participated in vascular remodeling by targeting the p38 MAPK-HSP27 pathway. These results indicate that glucocorticoids inhibit the incidence of aortic dissection by decreasing the TNF-α secretion and increasing the uncombined TNF-sRII, positively participating in vascular remodeling. Glucocorticoids participate in the vascular remodeling of aortic dissection mediated by soluble TNF-RII. Soluble TNF-RII may be used as a potential and attractive target for the intervention of aortic dissection in the future.
In clinical study, we found the serum cortisol in aortic dissection patients was significantly higher than that in non-ruptured aortic aneurysm patients and healthy volunteers. In modified C57BL/6 mouse model, we found glucocorticoids reduced the incidence of aortic dissection, and protected the collagen from degradation. Furthermore, glucocorticoids inhibited the TNF-α secretion of macrophages, decreased the migration, the phenotype switch from contractile type to synthetic type, and the apoptosis of human aortic smooth muscle cells induced by TNF-α. In general, glucocorticoids participate the vascular remodeling of aortic dissection via the p38 MAPK-HSP27 pathway mediated by TNF-sRII.
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Affiliation(s)
- Lei Zhang
- Department of Vascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Jian Zhou
- Department of Vascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
| | - Zaiping Jing
- Department of Vascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
| | - Yu Xiao
- Department of Vascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yudong Sun
- Department of Vascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yani Wu
- Department of Breast and Thyroid Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Huiying Sun
- Department of Vascular Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200433, China
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Brand B, Scheinhardt MO, Friedrich J, Zimmer D, Reinsch N, Ponsuksili S, Schwerin M, Ziegler A. Adrenal cortex expression quantitative trait loci in a German Holstein × Charolais cross. BMC Genet 2016; 17:135. [PMID: 27716033 PMCID: PMC5053117 DOI: 10.1186/s12863-016-0442-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 09/28/2016] [Indexed: 12/30/2022] Open
Abstract
Background The importance of the adrenal gland in regard to lactation and reproduction in cattle has been recognized early. Caused by interest in animal welfare and the impact of stress on economically important traits in farm animals the adrenal gland and its function within the stress response is of increasing interest. However, the molecular mechanisms and pathways involved in stress-related effects on economically important traits in farm animals are not fully understood. Gene expression is an important mechanism underlying complex traits, and genetic variants affecting the transcript abundance are thought to influence the manifestation of an expressed phenotype. We therefore investigated the genetic background of adrenocortical gene expression by applying an adaptive linear rank test to identify genome-wide expression quantitative trait loci (eQTL) for adrenal cortex transcripts in cattle. Results A total of 10,986 adrenal cortex transcripts and 37,204 single nucleotide polymorphisms (SNPs) were analysed in 145 F2 cows of a Charolais × German Holstein cross. We identified 505 SNPs that were associated with the abundance of 129 transcripts, comprising 482 cis effects and 17 trans effects. These SNPs were located on all chromosomes but X, 16, 24 and 28. Associated genes are mainly involved in molecular and cellular functions comprising free radical scavenging, cellular compromise, cell morphology and lipid metabolism, including genes such as CYP27A1 and LHCGR that have been shown to affect economically important traits in cattle. Conclusions In this study we showed that adrenocortical eQTL affect the expression of genes known to contribute to the phenotypic manifestation in cattle. Furthermore, some of the identified genes and related molecular pathways were previously shown to contribute to the phenotypic variation of behaviour, temperament and growth at the onset of puberty in the same population investigated here. We conclude that eQTL analysis appears to be a useful approach providing insight into the molecular and genetic background of complex traits in cattle and will help to understand molecular networks involved. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0442-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bodo Brand
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany.,Current affiliation: Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, 18059, Rostock, Germany
| | - Markus O Scheinhardt
- Institute of Medical Biometry and Statistics, University of Lübeck, Ratzeburger Allee, Lübeck, Germany
| | - Juliane Friedrich
- Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, Rostock, Germany
| | - Daisy Zimmer
- Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, Rostock, Germany
| | - Norbert Reinsch
- Institute for Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany
| | - Siriluck Ponsuksili
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany
| | - Manfred Schwerin
- Institute for Genome Biology, Leibniz Institute for Farm Animal Biology, Wilhelm-Stahl-Allee, Dummerstorf, Germany.,Institute for Farm Animal Research and Technology, University of Rostock, Justus-von-Liebig-Weg, Rostock, Germany
| | - Andreas Ziegler
- Institute of Medical Biometry and Statistics, University of Lübeck, Ratzeburger Allee, Lübeck, Germany. .,Center for Clinical Trials, University of Lübeck, Ratzeburger Allee, Lübeck, Germany. .,School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
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