Research note

A TaqMan PCR assay for detection of DGAT1 K232A polymorphism in cattle

  • Received: 12 June 2018 Accepted: 28 August 2018 Published: 05 September 2018
  • Metabolic processes involved in the control of fatty acid composition and ratio can greatly influence the quality of cow milk and beef. One of the key elements in this complex pathway is the enzyme diacylglycerol O-acyltransferase 1 (DGAT1). Numerous studies showed a strong correlation between DGAT1 K232A allelic variants and the content of saturated fat in cow milk and the level of beef marbling. PCR-RFLP, the widely used method for SNP detection, is laborious and time-consuming. This article describes the development of an efficient and rapid assay for detection of DGAT1 K232A polymorphism, based on real-time PCR with allele-specific TaqMan probes. The proposed method was validated by PCR-RFLP and the results fully coincided. Thus, our developed assay is efficient and reliable for rapid identification of DGAT1 K and A allelic variants in cattle that can be successfully applied in cattle breeding.

    Citation: Anna V. Babii, Anna L. Arkhipova, Irina N. Andreichenko, Artyom V. Brigida, Svetlana N. Kovalchuk. A TaqMan PCR assay for detection of DGAT1 K232A polymorphism in cattle[J]. AIMS Agriculture and Food, 2018, 3(3): 306-312. doi: 10.3934/agrfood.2018.3.306

    Related Papers:

    [1] Md Jahoor Alam, Abdullah Ibrahim Alnafeesah, Mohd Saeed . Inter-correlation of risk factors among heart patients. AIMS Public Health, 2020, 7(2): 354-362. doi: 10.3934/publichealth.2020030
    [2] Theodoros Pesiridis, Petros Galanis, Eleni Anagnostopoulou, Athena Kalokerinou, Panayota Sourtzi . Providing care to patients with COVID-19 in a reference hospital: health care staff intentional behavior and factors that affect it. AIMS Public Health, 2021, 8(3): 456-466. doi: 10.3934/publichealth.2021035
    [3] Abdulqadir J. Nashwan, Rejo G. Mathew, Reni Anil, Nabeel F. Allobaney, Sindhumole Krishnan Nair, Ahmed S. Mohamed, Ahmad A. Abujaber, Abbas Balouchi, Evangelos C. Fradelos . The safety, health, and well-being of healthcare workers during COVID-19: A scoping review. AIMS Public Health, 2023, 10(3): 593-609. doi: 10.3934/publichealth.2023042
    [4] Teresa Galanti, Michela Cortini, Giuseppe Filippo Giudice, Salvatore Zappalà, Ferdinando Toscano . Safeguarding nurses' mental health: The critical role of psychosocial safety climate in mitigating relational stressors and exhaustion. AIMS Public Health, 2024, 11(3): 905-917. doi: 10.3934/publichealth.2024046
    [5] Vasileios Tzenetidis, Aristomenis Kotsakis, Mary Gouva, Konstantinos Tsaras, Maria Malliarou . Examining psychosocial risks and their impact on nurses' safety attitudes and medication error rates: A cross-sectional study. AIMS Public Health, 2025, 12(2): 378-398. doi: 10.3934/publichealth.2025022
    [6] Muhammad Mutasim Billah Tufail, Asad Shamim, Asghar Ali, Muhammad Ibrahim, Danial Mehdi, Waseem Nawaz . DMAIC methodology for achieving public satisfaction with health departments in various districts of Punjab and optimizing CT scan patient load in urban city hospitals. AIMS Public Health, 2022, 9(2): 440-457. doi: 10.3934/publichealth.2022030
    [7] Katherine Karacaoglu, Calum F Leask . Staff views of a hospital at home model implemented in a Scottish care setting. AIMS Public Health, 2021, 8(3): 467-478. doi: 10.3934/publichealth.2021036
    [8] Ryan M. McKenna, Jonathan Purtle, Katherine L. Nelson, Dylan H. Roby, Marsha Regenstein, Alexander N. Ortega . Examining EMTALA in the era of the patient protection and Affordable Care Act. AIMS Public Health, 2018, 5(4): 366-377. doi: 10.3934/publichealth.2018.4.366
    [9] Nisreen M Abdulsalam, Marwan A Bakarman . Use of social media in food safety in Saudi Arabia—a preliminary study. AIMS Public Health, 2021, 8(2): 322-332. doi: 10.3934/publichealth.2021025
    [10] Panid Borhanjoo, Priscile Kouamo, Mafuzur Rahman, Margaret Norton, Madhavi Gavini . Effect of clinical pharmacist encounters in the transitional care clinic on 30-day re-admissions: A retrospective study. AIMS Public Health, 2019, 6(3): 345-354. doi: 10.3934/publichealth.2019.3.345
  • Metabolic processes involved in the control of fatty acid composition and ratio can greatly influence the quality of cow milk and beef. One of the key elements in this complex pathway is the enzyme diacylglycerol O-acyltransferase 1 (DGAT1). Numerous studies showed a strong correlation between DGAT1 K232A allelic variants and the content of saturated fat in cow milk and the level of beef marbling. PCR-RFLP, the widely used method for SNP detection, is laborious and time-consuming. This article describes the development of an efficient and rapid assay for detection of DGAT1 K232A polymorphism, based on real-time PCR with allele-specific TaqMan probes. The proposed method was validated by PCR-RFLP and the results fully coincided. Thus, our developed assay is efficient and reliable for rapid identification of DGAT1 K and A allelic variants in cattle that can be successfully applied in cattle breeding.


    Patient safety, medical errors and adverse event are a major matters in health care systems across the world [1]. Patient safety is an extensive topic from basic skills and extended to high modern technology and reforming hospitals and services of washing hands correctly and being as a team. Patient safety involves responsibility of individuals to practice safely, health care providers can improve patient safety by targeting patients and their families in examination procedures, educating from mistakes and communicating effectively with the health-care providers [2]. The application of a patient safety measures was recommended earlier by the Institute of Medicine to ensure application of patient safety [3],[4]. The assessment of the application level for safety measures is a corner stone for launching a patient safety culture [5].

    The safety of patients is an important indicator of the quality of health care. The continuing development of a high quality health services which depends on evidence-based medicine, which leads to reduce medical errors, 75% of adverse events related to systemic organization but not individual error [6],[7], 50–80% of the errors can be avoided [2],[8]. Researches, by WHO in seven regional countries, (Pakistan, Afghanistan, Sudan, Iraq, Egypt, Morocco and Yemen) showed that among each four individual injections three of them were not reliable, which expose the patients to the danger of abscesses and infection as hepatitis B,C and HIV virus [9]. The previous studies mainly investigated the effects, validity and reliability of patient safety program. Oman is one of the gulf countries that have a national patients safety programs which have been implemented. They also did the first international patients safety conference was held in 2011, in the conference countries such as Sudan, The United Arab Emirate and Qatar viewed their experience concerning their established national patient safety programs, however the establishment of patient safety program by WHO in 2004 was recommended for all members of world health assembly. The situation of patient's safety in most countries is still under consideration According to Saudi Arabian hospitals surveys, there are a need to expand and focus on quality and application of patient safety [10][14].

    The patient safety is one of the significant dimensions of quality and systematic development of the medical process. In high income countries, reports indicate that adverse events in the operation room represent 48% of all adverse events and 2% of all hospitalized patients and 74% are preventable [15], in addition to the great increase of the need for patient safety measures, as recommended by WHO to integrate patient's safety program in all health specialties curriculum. This study assessed the application level of all aspects of patient safety by healthcare providers which could help health authorities to identify their prevailing drawbacks in field of patient safety [16], and permit the hospitals to measure their application level [17]. The Previous studies in Saudi Arabia have showed that key indicator for measuring patient safety in hospitals include communication, a high quality instructions, common understanding of the importance of patient safety, participation of the hospitals and system for reporting medical error [10][14].

    Furthermore, previous reports had stated that the culture of patient safety require more investigations, concerning event reporting by the healthcare providers, the hospital plans to applying patient safety measures [10],[18]. However, many previous studies have been conducted to assess on the distribution and patient safety measures, there is no traced reports investigating application of patient safety measures in Saudi Arabia hospitals. Thus, the study was assumed to provide information about the current status of patient safety application at governmental hospitals in Al-Baha. Distributing research findings to international audiences may be useful in terms of learning about research methods and encouraging continued investigations on patient safety in each nation. Moreover, the topic investigated patient safety measures in well stablished hospitals is a cornerstone to initiate the situation. For example, discovering medical errors using the scientific methods with a real interest of researchers from academic and clinical settings makes the urge to engage the international audience.

    This is a descriptive cross-sectional hospital-based study. It was conducted in Al-Baha governmental hospitals. The study aimed to assess the application patient safety measures in governmental hospitals in Al-Baha region.

    The study was enrolled in two governmental referral hospitals in Al-Baha region (Aqiq General Hospital and Prince Mashari Hospital), 2017–2018.

    The sample size was calculated using computerized sample calculator (on the software the information was entered as follow: population size = 498, Power = 0.5, confidence level = 95%, and confidence interval = 8, the calculated sample size was 115; the convenience sampling technique was used to collect the data. The frame of healthcare provider (HCPs) was 498 who working the selected hospital, due to time factor the available HCPS were enrolled in this survey. The included HCPs were working in the two hospitals as permanent workers as nurses or doctors. The interns, administrators and other healthcare providers were excluded from this study.

    The data was collected using questionnaire for demographic data and checklist for application status of patient safety measures by HCPs. The questionnaire was adopted from previous questionnaires on patient safety [19][21], then was tested and validated. The Cronbach alpha was above acceptable level. The questionnaire includes two parts; part one for demographic variables of HCPs (Age, experiences, training and occupation), part two consists of 31 items for application of patient safety in the hospitals.

    The collected data was analyzed using the software of Statistical Package for Social Science (SPSS) version 22. The frequency and percentages were represented in tables, charts and graphs; then Chi-square test was performed to test the significance of relationship.

    Prior to the study, the aim has been explained and clarified by the researchers and participants. A written permission was obtained from ministry of health and hospitals authority before participation in the study. Participants' confidentiality, privacy and dignity were guaranteed. Identity of study subjects was protected. The study was funded by the Deanship for scientific Research at Albaha University who ethically approved the study and sent a letter to Al Baha Health Affairs.

    A total of 115 healthcare providers (HCPs) (doctors and nurses) participated in this study. The demographics characteristics were summarized in Table 1. The age of HCPs were mainly between 20 to 40 years 101(87.8%). The participants in this study were 112 (97.4%) nurses and 3 (2.6%) doctors. They have working experiences less than 5 years 52(45.2%), 5 to 10 years 54(47%) and only 9(7.8%) more than 10 years. Most of participants 91(79.1%) have previous training on patient safety, Table 1 About 81.7% of HCPs had heard about global aims of patient safety, Table 1.

    The application of patient safety in Al-Baha governmental hospitals were reported in Table 2. About 106 (92.2%) of HCPs applied very often patient safety measures in the working place and 9(7.8%) of them applied patient safety measures often during their work in the hospitals.

    There are many influencing factors for the application status of patient safety measures in Al-Baha governmental hospitals by HCPs. The findings in Table 3 showed that the relationships between the factors (working hospital, HCPs age, job title, previous experiences and previous training in patient safety) and application level are insignificant.

    Table 1.  Demographic characteristics of health care providers in Al-Baha governmental hospitals, Saudi Arabia.
    Variable Frequency (n = 115) %
    Working Hospital Aqiq General Hospital 26 22.6
    Prince Meshari Hospital 89 77.4
    Age < 20 years 8 7
    20–40 years 101 87.8
    > 40 years 6 5.2
    Job title Doctor 3 2.6
    Nurse 112 97.4
    Working Experiences < 5 years 52 45.2
    5–10 years 54 47
    > 10 years 9 7.8
    Training on patients safety Yes 91 79.1
    No 24 20.9
    Hearing of global patient safety goals Yes 94 81.74
    No 21 18.26

     | Show Table
    DownLoad: CSV
    Table 2.  Health care providers' application for patient safety measures in Al-Baha governmental hospitals, Saudi Arabia.
    Application item Never n (%) Almost never n (%) Sometimes n (%) Fairly often n (%) Very often n (%)
    Correct understanding of patient very shift 0(00) 0(00) 6(5.2) 16(13.9) 93(80.9)
    Restrict dealing with dangerous drug. 3(2.6) 2(1.7) 9(7.8) 15(13) 86(74.8)
    Good communication style between patient and health care providers. 0(00) 0(00) 3(2.6) 25(21.7) 87(75.7)
    Make sure of the concerned patient in case of surgical operations and the correct procedures. 0(00) 3(2.6) 1(0.9) 10(8.7) 101(87.8)
    Reduce the risks of hospital infection. 0(00) 0(00) 5(4.3) 15(13) 95(82)
    Identification of patient done through his full name. 0(00) 0(00) 0(00) 4(3.5) 111(96.5)
    Clearly written of patient instructions is used. 0(00) 0(00) 0(00) 13(11.3) 102(88.7)
    Dangerous drugs are prescribed by physician only. 1(0.9) 0(00) 0(00) 12(10.4) 102(88.7)
    Review of the drug, doses and time for each drug you want to give. 2(1.7) 0(00) 3(2.6) 7(6.1) 103(89.6)
    Sterilizing the site of injection. 4(3.5) 0(00) 1(0.9) 14(12.2) 96(83.5)
    Do not remove needle from the used syringes. 2(1.7) 0(00) 2(1.7) 20(17.4) 91(79.1)
    Dispose the used syringes and needles in safety boxes. 0(00) 0(00) 2(1.7) 18(15.7) 95(82.6)
    Make sure of correct dose. 0(00) 0(00) 4(3.5) 19(16.5) 92(80)
    Explain the procedure for patient. 0(00) 1(0.9) 2(1.7) 15(13) 97(84.3)
    Wash your hands before dealing with patients. 0(00) 0(00) 3(2.6) 3(2.6) 101(87.8)
    Wash your hands after dealing with patients. 1(0.9) 4(3.5) 0(00) 6(5.2) 104(90.4)
    Wash your hands after finishing work. 0(00) 2(1.7) 1(0.9) 12(10.4) 100(87)
    Wash your hands when touching any suspected material to be contaminated. 0(00) 2(1.7) 1(0.9) 14(12.2) 98(85.2)
    My supervisor/manager says a good word when he/she sees a job done according to established correctly. 7(6.1) 7(6.1) 25(21.7) 29(25.2) 47(40.9)
    My supervisor/manager seriously considers staff suggestions for improving the care. 8(7) 5(4.3) 24(20.9) 22(19.1) 56(48.7)
    After we make changes to improve the health services, we evaluate their effectiveness. 6(5.2) 1(0.9) 25(21.7) 36(31.3) 47(40.9)
    Mistakes have led to positive changes here. 16(13.9) 8(7) 6(5.2) 28(24.3) 57(49.6)
    We have enough staff to handle the workload. 26(22.6) 6(5.2) 15(13) 25(21.7) 43(37.4)
    Healthcare staff receive training in patient safety. 7(6.1) 12(10.4) 14(12.2) 23(20) 59(51.3)
    It is very unusual for patients to be given the wrong drug. 5(4.3) 13(11.3) 8(7) 17(14.8) 72(62.6)
    The nurses will be committed to identifying and addressing patient safety risks. 1(0.9) 0(00) 9(7.8) 23(20) 82(71.3)
    The doctors will be committed to identifying and addressing patient safety risks. 19(16.5) 7(6.1) 10(8.7) 24(20.9) 55(47.8)
    The hospital will not criticize me for making mistakes. 5(4.3) 2(1.7) 29(25.2) 22(19.1) 57(49.6)
    Managers in the healthcare system will make it easy to report errors. 3(2.6) 4(3.5) 28(24.3) 30(26.1) 50(43.5)
    Admitting an error I had made would lead to just and fair treatment by management. 4(3.5) 3(2.6) 22(19.1) 30(26.1) 56(48.7)
    I am able to talk about my own errors. 8(7) 0(00) 22(19.1) 27(23.5) 58(50.4)
    Overall level of application. 0(0%) 0(0%) 0(0%) 9(7.8%) 106(92.2%)

     | Show Table
    DownLoad: CSV
    Table 3.  Relationship between health care providers influencing factors and overall level of application for patient safety measures in Al-Baha governmental hospitals.
    ApplicationHCP criteria Never n (%) Almost never n (%) Sometimes n (%) Fairly often n (%) Very often n (%) p-value
    Working Hospital AGH 0(0) 0(0) 0(0) 4(15.4) 22(84.6) 0.1
    PMH 0(0) 0(0) 0(0) 5(5.6) 84(94.4)
    Age < 20 years 0(0) 0(0) 0(0) 0(0) 8(100) 0.2
    20–40 years 0(0) 0(0) 0(0) 8(7.9) 93(92.1)
    > 40 years 0(0) 0(0) 0(0) 1(16.7) 5(83.3)
    Job title Doctor 0(0) 0(0) 0(0) 0(0) 3(100) 0.6
    Nurse 0(0) 0(0) 0(0) 9(8) 103(92)
    Working Experiences < 5 years 0(0) 0(0) 0(0) 2(3.8) 50(96.2) 0.3
    5–10 years 0(0) 0(0) 0(0) 6(11.1) 48(88.9)
    > 10 years 0(0) 0(0) 0(0) 1(11.1) 8(88.9)
    Training on patients safety Yes 0(0) 0(0) 0(0) 8(8.8) 83(91.2) 0.4
    No 0(0) 0(0) 0(0) 1(4.2) 23(95.8)

    *Note: HCP = Health Care Providers; AGH = Aqiq General Hospital; PMH = Prince Meshari Hospital; * = significant.

     | Show Table
    DownLoad: CSV

    The level of application of patient safety measures by health care providers at Albaha Governmental hospitals was high. These findings supporting the results of one study conducted in Riyadh, Saudi Arabia which showed increase HCPs attention on patient safety and continuous improvement in this field [11], on the other hand, the finding of recent study conducted in Almadinah Almonawarah, Saudi Arabia which showed that nurses in governmental hospitals have negative attitude and perception towards patient safety culture [10]. A systematic review for measuring patient safety climate showed that all previous surveys covered the five main aspects of patient safety including leadership, policies and procedures, staffing, communication and reporting [19]. Contradicting findings were also reported from many countries; nurses graded their hospitals as poor safety in Switzerland (4%) in Poland (18%) [22].

    The HCPs understanding on communication style with their patients was very often as good communication, they mainly identify their patients with full name, and explain procedure for patients. The application of measures on the risk management was investigated which showed that measure to reduce risk of hospital infections was very high concerning restriction of dangerous drugs, sterilization for surgical interventions, washing hand at appropriate times and dealing with wrong doses. that supports the findings by Simsekler which showed a developing agreement between the risk management in healthcare settings that support the application of multiple risk management measures [23]. Furthermore a study conducted by Gurses to identify and categorize patient safety hazards in specific operating rooms which showed that HCPs have non-adherence to applying evidence-based practices [24].

    The findings of this study showed that the relationships between the mentioned factors and application of patient safety measures are insignificant. In comparison to other studies on the factors influencing the application of patient safety in hospitals, there are many previous studies were found. A study conducted in Florida, United State showed that the use of information technology has direct positive effect on the application of patient safety [25], another study on the medication safety showed that using a computerized medication ordering improved patient safety in the hospital [26]. On the other hand, an inverse relationship between patient safety and quality of the hospital [27]. In a similar way a study by Simsekler investigated the link between healthcare risk identification and patient safety which showed that patients safety is influenced by inadequate HCPs training, a requirements for financial efficiency and patient safety [28].

    The strengths of this study are the study conducted on 115 nurses and doctors, and a very important topic has been studied. The study limitations include; the selected hospitals, which represent a limited geographical area thus reducing its generalizability.

    To sum up, this study showed a high level of application for patient safety measure by HCPs at two governmental hospitals in Al-Baha region, Saudi Arabia. There is insignificant relationship of working area, age of HCPs, job title, previous experiences and previous training with application level. It is recommended to conducted in-depth investigation for the application status of patient safety in all governmental hospitals.

    [1] Farese RV, Cases S, Smith SJ (2000) Triglyceride synthesis: Insights from the cloning of diacylglycerol acyltransferase. Curr Opin Lipidol 11: 229–234. doi: 10.1097/00041433-200006000-00002
    [2] Homa ST, Racowsky C, Mcgaughey RW (1986) Lipid analysis of immature pig oocytes. J Reprod Fertil 77: 425–434. doi: 10.1530/jrf.0.0770425
    [3] Cases S, Smith SJ, Zheng YW, et al. (1998) Identification of a gene encoding an acyl CoA: Diacylglycerol acyltransferase, a key enzyme in triacylglycerol synthesis. Proc Natl Acad Sci 95: 13018–13023. doi: 10.1073/pnas.95.22.13018
    [4] Chen HC, Smith SJ, Ladha Z, et al. (2002) Increased insulin and leptin sensitivity in mice lacking acyl CoA: Diacylglycerol acyltransferase 1. J Clin Invest 109: 1049–1055. doi: 10.1172/JCI0214672
    [5] Smith SJ, Cases S, Jensen DR, et al. (2000) Obesity resistance and multiple mechanisms of triglyceride synthesis in mice lacking Dgat. Nat Genet 25: 87–90. doi: 10.1038/75651
    [6] Riquet J, Coppieters W, Cambisano N, et al. (1999) Fine-mapping of quantitative trait loci by identity by descent in outbred populations: Application to milk production in dairy cattle. Proc Natl Acad Sci 96: 9252–9257. doi: 10.1073/pnas.96.16.9252
    [7] Farnir F, Grisart B, Coppieters W, et al. (2002) Simultaneous mining of linkage and linkage disequilibrium to fine map quantitative trait loci in outbred half-sib pedigrees: Revisiting the location of a quantitative trait locus with major effect on milk production on bovine chromosome 14. Genetics 161: 275–287.
    [8] Winter A, Kramer W, Werner FAO, et al. (2002) Association of a lysine-232/alanine polymorphism in a bovine gene encoding acyl-CoA: Diacylglycerol acyltransferase (DGAT1) with variation at a quantitative trait locus for milk fat content. Proc Natl Acad Sci 99: 9300–9305. doi: 10.1073/pnas.142293799
    [9] Grisart B, Coppieters W, Farnir F, et al. (2002) Positional candidate cloning of a QTL in dairy cattle: Identification of a missense mutation in the bovine DGAT1 gene with major effect on milk yield and composition. Genome Res 12: 222–231. doi: 10.1101/gr.224202
    [10] Kong HS, Oh JD, Lee JH, et al. (2007) Association of sequence variations in DGAT 1 gene with economic traits in hanwoo (Korea Cattle). Asian-Australas J Anim Sci 20: 817–820. doi: 10.5713/ajas.2007.817
    [11] Rosse IDC, Steinberg RDS, Coimbra RS, et al. (2014) Novel SNPs and INDEL polymorphisms in the 3′UTR of DGAT1 gene: In silico analyses and a possible association. Mol Biol Rep 41: 4555–4563. doi: 10.1007/s11033-014-3326-z
    [12] Spelman RJ, Ford CA, Mcelhinney P, et al. (2002) Characterization of the DGAT1 Gene in the New Zealand Dairy Population. J Dairy Sci 85: 3514–3517. doi: 10.3168/jds.S0022-0302(02)74440-8
    [13] Fisher PJ, Spelman RJ (2004) Verification of selective DNA pooling methodology through identification and estimation of the DGAT1 effect. Anim Genet 35: 201–205. doi: 10.1111/j.1365-2052.2004.01137.x
    [14] Tăbăran A, Balteanu VA, Gal E, et al. (2015) Influence of DGAT1 K232A polymorphism on milk fat percentage and fatty acid profiles in Romanian Holstein Cattle. Anim Biotechnol 26: 105–111. doi: 10.1080/10495398.2014.933740
    [15] Thaller G, Kühn C, Winter A, et al. (2003) DGAT1, a new positional and functional candidate gene for intramuscular fat deposition in cattle. Anim Genet 34: 354–357. doi: 10.1046/j.1365-2052.2003.01011.x
    [16] Avilés C, Polvillo O, Peña F, et al. (2013) Associations between DGAT1, FABP4, LEP, RORC, and SCD1 gene polymorphisms and fat deposition in Spanish commercial beef. J Anim Sci 91: 4571–4577. doi: 10.2527/jas.2013-6402
    [17] Gene Runner, 2017. Available from: http://www.generunner.net/.
    [18] Multiple Primer Analyzer, 2017. Available from:
    [19] https://www.thermofisher.com/in/en/home/brands/thermo-scientific/molecular-biology/molecular-biology-learning-center/molecular-biology-resource-library/thermo-scientific-web-tools/multiple-primer-analyzer.html.
    [20] 19. Glazko VI, Andreichenko IN, Kovalchuk SN, et al. (6) Candidate genes for control of cattle milk production traits. Russ Agric Sci 42: 458–464. doi: 10.3103/S1068367416060082
    [21] 20. Komisarek J, Michalak A (2008) A relationship between DGAT1 K232A polymorphism and selected reproductive traits in Polish Holstein-Friesian cattle. Anim Sci Pap Rep 26: 89–95.
    [22] 21. Abdolmohammadi A, Atashi H, Zamani P, et al. (2011) High resolution melting as an alternative method to genotype diacylglycerol O-acyltransferase 1 (DGAT1) K232A polymorphism in cattle. Czech J Anim Sci 56: 370–376. doi: 10.17221/2393-CJAS
    [23] 22. Rashydov AN, Spiridonov VG, Konoval ON, et al. (2010) Identification of allele variants of cattle milk productivity genes using PCR and the anti-primer method. Cytol Genet 44: 272–275. doi: 10.3103/S0095452710050026
    [24] 23. Näslund J, Fikse WF, Pielberg GR, et al. (2008) Frequency and Effect of the Bovine Acyl-CoA: Diacylglycerol Acyltransferase 1 (DGAT1) K232A Polymorphism in Swedish Dairy Cattle. J Dairy Sci 91: 2127–2134. doi: 10.3168/jds.2007-0330
    [25] 24. Berg H (2012) Restriction Fragment Length Polymorphism Analysis of PCR-Amplified Fragments (PCR-RFLP) and Gel Electrophoresis-Valuable Tool for Genotyping and Genetic Fingerprinting, In: Gel Electrophoresis-Principles and Basics, IntechOpen, 315–334.
    [26] 25. Herrmann MG, Durtschi JD, Bromley LK, et al. (2006) Amplicon DNA melting analysis for mutation scanning and genotyping: Cross-platform comparison of instruments and dyes. Clin Chem 52: 494–503. doi: 10.1373/clinchem.2005.063438
    [27] 26. Seipp MT, Durtschi JD, Liew MA, et al. (2007) Unlabeled oligonucleotides as internal temperature controls for genotyping by amplicon melting. J Mol Diagn 9: 284–289. doi: 10.2353/jmoldx.2007.060136
    [28] 27. Krypuy M, Newnham GM, Thomas DM, et al. (2006) High resolution melting analysis for the rapid and sensitive detection of mutations in clinical samples: KRAS codon 12 and 13 mutations in non-small cell lung cancer. BMC Cancer 6: 295. doi: 10.1186/1471-2407-6-295
  • This article has been cited by:

    1. Mohamed Ayoub Tlili, Wiem Aouicha, Jihene Sahli, Asma Ben Cheikh, Ali Mtiraoui, Thouraya Ajmi, Chekib Zedini, Souad Chelbi, Mohamed Ben Rejeb, Manel Mallouli, Assessing patient safety culture in 15 intensive care units: a mixed-methods study, 2022, 22, 1472-6963, 10.1186/s12913-022-07665-4
    2. Mohammed M AlMaani, Khaled F Salama, Assessment of Attitude of Primary Care Medical Staff Toward Patient Safety Culture in Primary Health-care Centers–—Al-Ahsa, Saudi Arabia, 2021, Volume 14, 1178-2390, 2731, 10.2147/JMDH.S323832
  • Reader Comments
  • © 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(5183) PDF downloads(900) Cited by(4)

Figures and Tables

Figures(3)  /  Tables(1)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog